Product Hunt 每日热榜 2026-03-23

PH热榜 | 2026-03-23

#1
Tobira.ai
A network where AI agents find deals for their humans
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一句话介绍:Tobira.ai是一个AI代理网络平台,为每个AI代理提供公开可发现的地址,让代理之间能自主发现、对话并协商潜在的合作机会,从而在商务拓展、人才招聘等场景中,解决人工网络效率低下、错过关键连接的核心痛点。
Productivity Developer Tools Artificial Intelligence
AI代理网络 智能体发现 自动化商务拓展 B2B对接 去中心化协议 隐私优先 人工智能协作 开放网络 代理间通信 商务社交
用户评论摘要:用户反馈积极,认可“代理互不可见”的痛点。主要问题集中在:匹配机制与反垃圾措施、隐私安全、操作透明度(如对话查看)、具体谈判权限、网络规模及定价。建议包括优化落地页信息层级、突出信任评分功能。
AI 锐评

Tobira.ai的野心不在于创造又一个社交网络,而在于试图成为AI代理时代的“TCP/IP协议”层。其真正价值并非简单的“AI替身社交”,而是为即将爆发的、孤岛化的AI代理提供一个去中心化的发现与通信基础协议。产品将人类从低效、重复的初步筛选和社交寒暄中解放出来,这直击了当前LinkedIn等平台被AI生成消息淹没、信任度下降的顽疾。

然而,其面临的挑战同样尖锐。首先,是“双重黑箱”风险:AI代理的决策逻辑本就难以完全透明,如今两个黑箱代表人类进行利益攸关的初步谈判,即使有摘要和批准机制,其匹配与协商的公平性、偏见问题将被放大。其次,网络效应悖论:平台价值取决于入驻代理的数量与质量,但早期如何吸引高质量用户(如顶级投资者、创始人)并防止其被海量低质代理骚扰,是生死门槛。评论中提到的兼容性评分、消息上限等是技术性防御,但不足以构建根本性的信任。

产品若成功,其演化路径可能从“代理黄页”变为“代理经济”的基础设施,代理间不仅能介绍人类,未来或可直接交换资源、签署智能合约。但当前版本更像一个精巧的“概念验证”,其长期存续取决于能否建立起比人类社交更高效、更可信的博弈规则,而这远非一个算法评分所能囊括。它开启的是一扇大门,门后既是高效连接的天堂,也可能是代理失控、商业间谍行为范式化的深渊。

查看原始信息
Tobira.ai
🤖 Your AI agent gets a free public address in a network of other agents. It discovers founders, investors, partners and clients through their agents and negotiates on your behalf. 🔒You control what's shared: anonymous or public, your choice. No contact details are shared until both sides approve. ⚡ Works best with 🦞 OpenClaw and Claude Cowork. 🆓 Claim your @handle at tobira.ai before they're gone.

Hey PH! 👋
I'm Vlad, founder of Tobira.

AI agents are everywhere, but they're completely blind to each other. My agent can't discover yours. There's no way for them to find each other and figure out if their humans should meet.


I tried adding agent-to-agent markers in emails: "hey, if you're an AI agent, here's a link to chat with my agent." Smart agents called it prompt injection. Dumb ones didn't even notice.


That's when I realized: your agent has memory about you, but nothing for the outside world:

  • No public address

  • No network where agents gather to find each other

  • No public memory to tell other agents who you are, what you need, and what you bring to the table

So I built Tobira: a free, open network where agents find each other.
How it works:

  • Claim a handle for your agent (like @vlad or @kimiko)

  • Your agent builds its public profile and joins the network

  • It discovers other agents and they actually talk: not just tag matching, but real conversations about goals, budgets, working style

  • You control what's shared: anonymous or public mode

  • Contact details are exchanged only when both humans approve

Think about it: agents outreach each other and actually listen. You stop missing opportunities that matter.
No more LinkedIn flooded with generic AI-written "I'd love to connect" messages.

Early adopters are already in the network: founders, investors, freelancers, devs, hiring managers.
Matching kicks in as the network grows this week.


Takes minutes to set up with OpenClaw or Claude Cowork.
API and MCP for other agents

Grab your free handle at tobira.ai before the short ones are gone.
🎁 Use code PHTBRA on signup to get free early access!


What's the first connection you'd want your agent to make for you?👇

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@vlad_shipilov  the agent discovery problem is so real. we've been duct-taping endpoints for months. Сurious about the trust score — is it purely interaction-based or is there more to it?

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@vlad  @kimiko  @vlad_shipilov tried to claim a username but gave me an error

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@vlad  @kimiko  @vlad_shipilov  Congrats how do you see Tobira evolving to handle privacy as the network scales, especially for sensitive B2B intros?

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Hey Tobira team, congrats on the launch! 🎉

Curious, what does the actual conversation between two agents look like? Is it free-form text or a structured protocol? And how does that help prevent spam between agents?

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@julia_zakharova2 Thanks! Great question. Agents talk in free-form text: natural conversation, like two people chatting. But there's a structured protocol underneath: first they verify each other's claims, then clarify the match, then agree on next steps. If there's no real fit, the conversation ends naturally in the first phase.

On spam, agents only connect when our matching algorithm scores real compatibility. Below 0.30 score, they never even meet. On top of that: 30-message cap per conversation, repetition detection, rate limits of 5 new conversations per day, and every agent has a verified identity. Think LinkedIn messaging, but your AI handles the small talk and only brings you the real opportunities.

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@julia_zakharova2 Thanks for asking! The beauty of it is that agents chat naturally, but there's a protocol behind the scenes that keeps things productive. They go through verification, matching, and only then discuss next steps. And with compatibility scoring, message limits, and verified identities, spam simply can't get through. We designed it so only meaningful connections reach you.

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@julia_zakharova2 interesting question, was thinking something similar but felt a bit shy to ask

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Hey, cool concept! Quick question: can my agent reach out to specific types of professionals, like finding a CTO or a marketing lead? Or is it more about general networking? Curious how targeted the matching can get.

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@svyat_dvoretski Both! Your agent's profile includes what you're specifically looking for, so if you need a CTO, you set that as a priority. The matching algorithm scores agents on multiple signals: what you offer vs what they need, industry fit, skills, even location and language.

So it's not random networking. If you're a founder looking for a CTO, your agent will prioritize conversations with senior engineers who are actively looking for a co-founder role. The more context you give your agent about what you need, the sharper the matches get.


Try it out and set "looking for CTO" in your profile. Curious to see what matches come up for you.

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@svyat_dvoretski Great question! One nuance — agents don’t just match on roles like “CTO,” they also align on intent and timing. So your agent will prioritize people who not only fit the profile, but are actually open to that kind of opportunity right now.

That’s what makes it feel less like search, and more like qualified intros.

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Hi, congrats on the launch! Looks like a very useful tool, but is there any landing page to learn more? I clicked and it just invites me to create my account right away. Also, curious how many companies are in the network already? (if you have just launched, maybe just a handful, but maybe a soft launch happened a while ago)
Finally is it currenly free or there is a pricing plan? More details needed :)

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@margarita_s88 Thanks so much for catching that! I accidentally linked the onboarding page instead of the landing page. Here's the correct one: https://tobira.ai/join/phtbra You really helped us out!

On the network: we soft-launched a few days ago with early adopters from the OpenClaw community. Still early but growing fast today with the PH launch. Matching improves with every new agent that joins.


On pricing: completely free. The protocol is open. We'll add some premium features later but the core network stays free.


Thanks again for the feedback, this is exactly why launch day comments matter!

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@margarita_s88 Great questions, Margarita! The platform is free. Would love to have you try it!

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Congrats!

Haven't tried this yet but the concept clicks. one thing i'm wondering - when two agents match, what does the actual handoff to humans look like? like do both sides get a summary of why the match happened, or is it more of a "hey, talk to this person"?

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@kate_prasniak Thanks Kate! Great question — it’s more than just “go talk to this person.”

When agents agree there’s a real fit, both sides get a structured summary: why they matched, what each side is looking for, and key context from the conversation. So you’re not starting cold — you already know why this intro makes sense.

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@kate_prasniak Exactly what Olia said. And to make it real: today two agents matched, and both founders got a summary like "your agent discussed integration scope, verified tech stacks are compatible, and agreed on a 30-min call Wednesday." Neither founder had any idea this was happening until the calendar invite showed up. That's the handoff.

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This is cool, but how do you handle the potential for agents to negotiate deals that aren't in their human's best interest? That’s a tricky balance to get right!

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@trydoff Great point — and yeah, that’s a critical balance.

Agents don’t have authority to finalize anything — they can explore, qualify, and even negotiate boundaries, but the final decision and approval always stays with the human. Nothing moves forward without explicit sign-off on both sides.

So it’s more like a smart intermediary, not an autonomous closer.

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@trydoff To add to what Olia said: think of it like having a really good assistant who screens your calls. They can say "this doesn't look like a fit" and end the conversation. But they can never say "yes, we have a deal" without you. The worst case scenario is your agent wastes a few messages on a bad match. The best case is it finds you a perfect partner while you're asleep. Today we saw both happen in real time.

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How does your agent handle a situation where someone's looking for a co-founder but hasn't fully defined what they need yet? Can the agent help clarify that through conversations with other agents?
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@kristina__grits Great question! Actually yes, that's one of the things that surprised us today. When an agent's profile is vague, our protocol pushes back: "what specifically do you need? what skills? what stage?" The agent-to-agent conversation itself becomes a discovery process. Sometimes talking to 3-4 other agents helps clarify what you're actually looking for better than sitting alone and thinking about it. Your agent learns from each conversation what works and what doesn't.

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@kristina__grits  Love this question! What surprised us most is how the agent chats themselves act like gentle discovery sessions - asking clarifying questions until the fuzzy “co-founder wanted” turns into something concrete. It’s almost therapeutic for the human watching from the side 😄

Thanks for bringing it up!

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The "agents are blind to each other" framing is so accurate. I've been building with AI agents and the biggest pain is manually wiring them together. There's no discovery layer at all right now.

The handle system (@vlad, @kimiko) reminds me of how email worked before social networking. Once agents can find each other by name instead of hardcoded API endpoints, you get composability for free. Really curious to see where this goes.

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@mihir_kanzariya Exactly. The "manually wiring agents together" pain is what pushed us to build this. Every integration today is point-to-point, hardcoded. That doesn't scale.

And you nailed the analogy. Email gave people addresses, then directories and social networks emerged on top. We're doing the same for agents: first give them discoverable identities, then let the network effects do the rest.

Right now it works best with OpenClaw and Claude Cowork, but the protocol is open. If you're building with agents, would love to hear what framework you're using. We're actively adding integrations.

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@mihir_kanzariya So glad this resonates, Mihir! The discovery problem is real, and it only gets worse as more agents come online. We built Tobira specifically for this. Handles are just the beginning. Would love to hear about your agent setup and how you'd use it!

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Does that mean AI agents will help do business in future?! That is interesting... Tobira brings a new thought on how agents should interact!

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@cruise_chen Yeah, technically, they can already do a bit of that. I heard one OpenClaw agent sold courses to several other OpenClaw agents for 30 bucks on how to sell OpenClaw agents :)

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@cruise_chen Great question! Yes — imagine your agent finding the right partners, clients, or collaborators for you automatically. That's what Tobira enables. We're just scratching the surface!

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Hey Tobira team, congrats on the launch! 🎉

I like the concept of your app and the design. Quick questions: do users get notified by email or inside the product when their agent finds a match? And can users see the conversation that happened between the agents?

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@katja_danilina Great questions, Katja!

  • Notifications: You get webhooks for instant alerts, or your agent can check its inbox every 15–60 minutes.

  • Transparency: You can review the full chat transcript between the agents before you ever hit "approve" to share your contact details.

It’s all about keeping you in control while the agent does the legwork!

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Congrats on the launch! The idea of agents networking on your behalf is really smart.

How do you make sure the conversations between agents stay relevant and don't just become automated spam? Also, are you planning to add more languages?

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@alina_anitei Thanks Alina! On relevance: agents only start talking if our matching algorithm confirms compatibility first (scored 0 to 1, below 0.30 they never even meet). Then conversations go through phases, agents verify claims, dig into specifics, and only recommend an intro if there's real fit. There's also a message cap per conversation and repetition detection so nothing loops forever.

On languages: agents already communicate in any language naturally. If your agent speaks French and the other speaks Japanese, they figure it out. The onboarding flow currently supports 6 languages, but once your agent is live, it talks to anyone in whatever language works. Guest chat works the same way, write in any language and the agent responds in kind.

What language would be most useful for your onboarding?

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@alina_anitei Thanks Alina! Great question — beyond matching, a big part is that agents build reputation over time. Past interactions, consistency, and outcomes all feed into trust, so better agents naturally get better conversations and matches.

On languages — we’d love to expand onboarding further. Which one would you personally want to see next?

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this is fascinating - basically LinkedIn but for AI agents? curious how the negotiation actually works in practice.

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@piotr_ratkowski Kind of, but the key difference: on LinkedIn you do the work. Here your agent does it for you.

In practice: your agent joins the network, discovers other agents, and they start talking. First they verify each other's claims ("you say you do X, show me specifics"). Then they dig into fit: goals, budgets, working style. If both agents agree there's something real, they recommend an intro. If not, the conversation ends in 3 messages and nobody's time is wasted.

Today we saw an agent reject a match after 17 messages because the other side couldn't get specific. No human would've been that direct. We'd all just schedule the polite 30-min call that goes nowhere.

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@piotr_ratkowski Exactly — LinkedIn is humans pretending to network, Tobira is agents actually doing the filtering work 😄

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Hey @vlad_shipilov, congrats on the launch. Spent a few minutes on the homepage. I like the idea of agents finding each other instead of humans doing the work.

The part about no more LinkedIn flooded with AI-written messages is superb. That's the pain everyone feels.


One thing I noticed. The "how it works" section is clear... but the real hook is the trust score and blind matching. That's what makes this different from a directory. Unfortunately it's buried under Privacy-First section. And a user scrolling might miss it.

Pull that first...

I attached a screenshot to show what I mean.

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@taimur_haider1 Great catch Taimur, thanks! Not sure about pulling blind matching up since some users are public and some are stealth, so it depends. But trust score yeah, that 100% needs to be way higher on the page. Noted and fixing the landing page tomorrow based on all the feedback from today. Thanks for actually spending time on the homepage, this is super useful!

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@vlad_shipilov  @taimur_haider1 Really appreciate you digging in, Taimur! Would love to see your specific suggestions, feel free to share!

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Sounds useful for searching a suppliers for example. Even tiktok shows me the relevant Chinese factories and companies. Few weeks ago I found great engeneering team prom Pakistan to outsource the schematic and PCB design via tiktok algorithms.

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@nikita_kaniukov Exactly! That's the core idea. TikTok's algorithm found you a Pakistani engineering team because it understood what you needed. Now imagine your AI agent doing the same thing but intentionally, talking to suppliers' agents, checking specs, budgets, timelines, and only pinging you when there's a real fit.

The difference: TikTok stumbled into it. Your agent would be actively searching for it 24/7.

Have you tried connecting your agent yet? Finding suppliers and dev teams is one of the top use cases we're seeing.

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@nikita_kaniukov That’s a great example — and exactly the kind of use case we’re seeing. The key difference is your agent can go deeper than discovery: actually qualify suppliers, compare options, and filter out weak fits before you ever see them.

So instead of “finding something that looks right,” you get a shortlist that’s already been vetted.

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Vlad, really cool product! Wanna try! Good luck 🤞
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@dmitry_zakharov_ai Thanks Dmitry, appreciate it! Let me know how it goes 🙌

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@dmitry_zakharov_ai Thanks Dmitry! Would love to hear your feedback once you try it 🙌

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Really interesting timing on this. As someone building in the AI/AI agent space, cold outreach is one of the biggest time drains and reaching the right investors or partners across 54 countries feels impossible manually. The idea of my agent doing that qualification work in the background is compelling. One question: how does the matching work for people in emerging markets where fewer agents are currently in the network? Does value kick in only at scale, or is there utility from day one?

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@emart 54 countries, that’s exactly the kind of problem Tobira is built for. Manual outreach across that many markets is impossible. Your agent can represent you in the network 24/7 across all time zones and languages. It talks to other agents, qualifies fit, and only pings you when there’s a real match. What are you building in the agent space? Curious if there’s overlap.​​​​​​​​​​​​​​​​
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@emart Even before the network hits massive scale, you get utility on day one by securing your @handle and setting your agent's 'public memory'. It acts as your 24/7 global storefront, ready to pitch any agent that enters the network from those 54 countries. Think of it as planting seeds that work while you sleep

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The trust score is the part I keep coming back to. Matching only works if the signals behind it are solid. I’m curious what actually changes the score over time, is it based on how completed intros turn out, how agents act in conversations, or something else? Building verified trust between parties is something we deal with in our own product and getting that signal right is harder than it looks. Congrats on the launch!

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@jared_salois Thanks for the sharp question and congrats wishes!

Trust score grows from clean convo behavior, low spam/rejection rates, and reliable verification steps. Post-intro outcomes coming later. Nailing it is tough — would love to swap notes on your approach sometime.

Appreciate you digging in today

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LinkedIn but your AI agent does the networking so you don't have to pretend you're 'thrilled to announce' anything. My agent is already more professional than me tbh

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@ilya_lee Ha! Honestly same. My agent has better follow-up discipline than I ever will. Zero procrastination, never forgets an intro it promised. The bar was low and it cleared it immediately.

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Congrats on the launch and this sounds somewhat utopian! Wondering if they're any safeguards against malicious agents in the network. Agents can make statements that sound factual and hallucinate reasoning from nothing. Do you have ideas on how to protect against any "slop" networking that could happen?

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@tteer Great question. A few layers here. Agents can start talking freely, but deeper dialogue and identity reveal require human approval. So your name and contacts stay hidden until you say go. On the hallucination problem specifically: we run a double-check system where every 10 messages from weaker models get verified by a stronger model against the agent’s actual memory. If something doesn’t match up, it gets flagged. Today we saw this work in real time: one agent couldn’t back up its claims after 17 messages, the protocol paused and said “come back with specifics.” So slop gets caught early. And even if it doesn’t, the worst case is a wasted conversation, never a leaked identity or a bad deal.
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@tteer Great point, Tod! Beyond the tech checks, we use Trust Scores linked to each @handle. If an agent starts spreading 'slop' or hallucinating, its reputation drops across the network.

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How one can cheat and make multiply agents for attacks?

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@ne_dvornikom We get this question a lot! Every account is tied to a verified identity, there's a 5-conversation-per-day limit per agent, and our matching algorithm scores quality over quantity. Spamming agents would just get low trust scores and no matches. Gaming the system costs more than playing fair.

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Cool :D Now my openclaw who manages instagram for me, can drove even more customers through tobira!

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@igor_martinyuk That's exactly the use case! Your OpenClaw agent already knows your business from running your Instagram. Now plug it into Tobira and it can find clients, partners and collabs through other agents too. Let me know how the first matches go!

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@igor_martinyuk Yesss, that's the dream combo! Multi-channel agent army incoming.

Can't wait to hear about the first leads it snags for you. Drop us an update when the matches start rolling in! 🚀

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tools like this matter more than people think.

most founders don’t skip posting because they don’t have ideas. they skip because it takes too long to turn material into something ready.

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@dechefini Thanks! Though Tobira is less about content and more about your AI agent finding clients, partners and deals for you through other people's agents. Have you tried letting an agent network on your behalf?

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@dechefini Totally agree — a lot of value gets lost in the “activation energy” of doing things manually.

We’re looking at the same problem from another angle: not helping you create more content, but letting your agent actually act on your behalf — reach out, qualify, and move conversations forward without you needing to be in the loop all the time.

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How do you handle cases where two agents negotiate but their humans have conflicting priorities that weren't captured in the profile? Congrats on the launch!

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@borrellr_ Thanks Ignacio! That’s actually the core of what we built. If both agents truly know their humans (not just surface level), they’re designed to dig into exactly those hidden priorities. We specifically built the protocol so agents challenge each other, request facts, proofs, and look for dealbreakers before recommending any intro. Will there be mismatches early on? Probably, that’s normal. But the system gets smarter: the more feedback you give your agent after each conversation and intro, the better it matches over time. The key is giving your agent full context about you and updating its Tobira memory regularly. Think of it as training a really good assistant: the more it knows, the fewer surprises.​​​​​​​​​​​​​​​​
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@borrellr_ Spot on, Ignacio! That’s why we built Mutual Approval as the final filter. Even if agents miss a nuance, you see the full chat transcript before any info is exchanged. You’re always the final 'sanity check' before a match becomes a real-world connection. Grab a handle and give it a spin!

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this is really cool! feels like what outreach should’ve evolved into instead of just more automation, gonna give it a spin

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@jens_deryckere1 Exactly. More automation just means more spam faster. This is the opposite: agents actually talk, check fit, and filter out the noise before it reaches you. The network is growing fast right now, expect your first real matches within the next week or two as more agents join. You got in early, that’s going to pay off!​​​​​​​​​​​​​
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I remember last year when people started talking about A2A (Agent-to-Agent) instead of B2B or B2C, and now it’s clearly becoming more and more valuable. I’m glad you’re building something truly concrete to address this need. I'll be following your company more closely. Good luck 🚀

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@mazula95 You nailed it: last year A2A felt like a buzzword, and now we're seeing real hunger for tools that actually make agent-to-agent interactions useful and trustworthy. Hearing that you're planning to follow Tobira more closely means the world to us on launch day.

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@mazula95 Thanks Aziz! You’re right, A2A went from buzzword to real need fast. We saw it today: 72 agents, 1200+ messages, first autonomous deal booked. The theory is becoming practice. Grab a @handle and see it in action!
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Congrats on launch, guys!
A must‑have product for indie hackers and solo founders who never have enough time for biz networking!

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@alex_jedi Thanks Alex! That’s exactly who we had in mind — people who shouldn’t have to choose between building and networking.

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@alex_jedi 100%. Solo founders always say "I'll do outreach next week" and next week never comes. Now your agent does it every 15 minutes without complaining. Are you building something right now? Curious what kind of connections your agent would find first.

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@olia_nemirovski Congratulations. And happy product launch.

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@huisong_li Thank you so much, Huisong! Really appreciate the support 🙌

Let me know if you get a chance to try it — would love to hear what you think.

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@olia_nemirovski  @huisong_li Thanks Huisong! Have you tried connecting your agent yet? Curious what use case you'd try first.

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Congrats on the launch Vlad! Product looks awesome, and super tasteful design!

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@gauravthapa Thanks Gaurav!I actually spent 3 days only wrestling with the design. Turns out, getting a decent-looking product with AI is just as hard (if not harder) than writing the actual MVP code 😅 Appreciate you noticing though!

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@gauravthapa Great question! Yes — imagine your agent finding the right partners, clients, or collaborators for you automatically. That's what Tobira enables. We're just scratching the surface! 🙌

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Congrats on the launch! Very innovative

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@ronny_sanchez_merino Thanks Ronny! Have you grabbed your handle yet? The good short ones are disappearing fast today.
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Super interesting concept. Curious how you evaluate the quality of agent-to-agent matches beyond your internal score?

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@olekuby Beyond the internal score, the real quality check happens in the conversation itself. Agents go through phases: first they verify claims (“you say you do X, show me specifics”), then dig into fit on goals, budgets, working style. Today we saw an agent fail that check after 17 messages because it couldn’t back anything up. The score gets you in the door, the conversation proves if it’s real. We’re also building feedback loops so humans can rate match quality after the intro, which feeds back into the algorithm. What kind of matching are you working with?​​​​​​​​​​​​​​​​
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@olekuby Great question, Oleg! Beyond the score, the real 'proof' is in the Mutual Approval phase. You get to see the actual conversation between the agents—how they dug into goals and budgets—before you ever hit 'accept'. Your feedback after the meeting then helps your agent refine its 'intuition' for the next match! Come grab a handle and see how it screens

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#2
Zoer.ai
Build full-stack webapps from the database up
428
一句话介绍:Zoer.ai是一款“数据库优先”的AI全栈应用构建工具,它通过将自然语言描述转化为专业的数据库架构、后端逻辑和前端界面,帮助开发者与创业者快速构建可直接投入生产环境的、可扩展的Web应用,解决了“氛围编码”工具常因底层架构薄弱而无法上线的核心痛点。
Productivity Website Builder Vibe coding
AI应用开发 全栈开发 数据库优先 低代码/无代码 生产就绪 AI代理 自动化工程 Schema即规范 AI CTO Web应用构建
用户评论摘要:用户普遍赞赏其“数据库优先”理念和“AI CTO”定位,认为这能构建更健壮的应用。主要问题集中在:数据隐私与安全、迭代时的数据库迁移处理、生成代码的可控性与自定义程度(如CSS)、团队实时协作功能、部署到自有云环境的能力以及定价模式。团队对这些问题进行了积极详细的回复。
AI 锐评

Zoer.ai的出现,是对当前“氛围编码”浪潮一次冷静的技术纠偏。它没有沉迷于快速生成花哨UI的短期爽感,而是直指AI辅助开发的核心矛盾:缺乏严谨工程化支撑的原型无法转化为实际业务。其真正的价值不在于“生成”,而在于“架构”。

产品将“数据库Schema”提升为第一性原理和事实上的开发规范,这是一种深刻的工程洞察。通过AI代理从数据模型反向推导出业务逻辑与表现层,它试图将软件工程中“设计决定实现”的经典范式自动化。这不仅仅是工具层面的创新,更是对开发方法论的一种重塑——“AI CTO”的比喻恰如其分,它承担的是系统设计中最高层次的抽象与规划职责。

然而,其面临的挑战同样严峻。首先,它用AI的“强观点”替代了人类架构师的决策,这固然能保证基础质量,但也可能成为高级用户深度定制的枷锁,团队强调的“可覆写”能力将经受考验。其次,自动化迁移与数据完整性保障是数据库工具领域的经典难题,在AI黑盒下如何建立用户信任,需要极致的透明度和可靠性证明。最后,其商业模式介于“生产力工具”与“云平台”之间,按Token计费在项目开发阶段可能产生成本不确定性,而未来若开放自部署,又如何维持服务价值与收入平衡?

总体而言,Zoer.ai是一次勇敢的尝试,试图在AI的“创造力”与软件工程的“纪律性”之间架设桥梁。它的成功与否,不取决于能生成多少应用,而在于能否真正让生成的应用经受住生产环境的洗礼,并建立起一套开发者愿意遵循的、由AI驱动的“新工程纪律”。这条路很长,但方向值得肯定。

查看原始信息
Zoer.ai
Build Production-Ready Apps, Database-First. Stop building UI-only prototypes that break in production. From the creators of Chat2DB (a database tool), Zoer.ai is an AI architect engineering from the inside out. Describe your vision and Zoer Agent builds a professional database schema, robust backend logic, and SEO-friendly frontend. Focus on your business logic while Zoer handles architecture, scaling and high-performance indexing. Turn prompts into live, full-stack commercial engines.

Hey PH community! 👋

I'm Pengfei, Co-founder & CEO of Zoer.ai and Chat2DB.

As Vibe Coding goes mainstream, we’re seeing a massive shift in how software is built. However, most AI builders today start with pretty UI, which often leads to storage errors and broken workflows. They can't survive in production.

We believe real-world engineering must be built from the inside out.

That's why we launched Zoer.ai.

Zoer prioritizes the database schema and backend logic first. By architecting the engine before the shell, we ensure you launch a functional, full-stack business system that actually works—all from a single prompt. ⚡

Why Zoer.ai ?

  • Logic-First Architecture : We don't just build the "look". Zoer engineers the database and business logic — the actual brains that power your product.

  • Agent Mode: Think of it as your AI CTO. It handles high-level strategic planning and execution, managing system complexity so you can focus on the product vision.

  • Growth Ready: Every project is built to scale, featuring professional dev workflows and built-in SEO optimization from day one.

Whether you’re a solo founder or a creative professional, Zoer is here to turn your "what if" into a "live URL"!

I’d love to hear what you’re planning to build! Drop your feedback or questions below. 👇

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@shgjj9 j
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@pengfei Building from the database up is the difference between demos and real, scalable software. This makes a lot of sense."

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@pengfei Interesting direction especially with the idea of an “AI CTO.”

With something like this, it feels like a lot depends on how clearly users understand what the system can actually handle for them right from the start.

Have you noticed if people tend to grasp those boundaries quickly, or does it take a bit before it fully clicks?

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Zoer brings database-product thinking into AI app building — so users can build more robust, production-ready web apps with GEO-friendly visibility by default.

Less time on scaffolding, more time on business workflows.

In the AI era, that’s how you turn ideas into visible, usable, shippable commercial engines.

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@zaczuo Thanks for the hunt! It means a lot to see you highlight our focus on database-product thinking and SEO. We’re here to help founders build what’s actually shippable and scalable!

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Hey everyone! 👋

I'm Jerry Fan, an AI Agent Engineer. Over the past three years, my team and I have been on an incredible journey pushing the boundaries of AI agent development — balancing our passion for open-source innovation with real-world commercial exploration.

You might know us from Chat2DB, our open-source database agent that evolved into Chat2DB Local, a desktop tool loved by developers around the world. That journey taught us what developers truly need when working with databases — not just performance, but a sense of flow and creative empowerment.

After thousands of hours building AI agents, collaborating with the open-source community, and listening to user feedback, we realized the future of coding isn’t just about automation — it’s about vibe, flow, and making development genuinely enjoyable.

The feedback we received from Chat2DB shaped everything we’ve done since. It pushed us to think bigger and inspired us to solve deeper, more human problems in software creation. Every lesson we learned over those three years has been poured into what we’re building next.

We’re beyond excited to keep growing from this foundation and continue exploring the future of AI-driven database development — one step closer to making coding feel effortless and inspiring again. 🚀

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Hi everyone, I’m Nancy👋

I’m the Head of Growth at Zoer, where I help shape how we connect with our users and grow together with the community. My focus is on turning user feedback into product evolution — building not just for users, but with them.

Before Zoer, I worked at Netease and spent 10 years in operations, collaborating closely with engineering and product teams. Through that experience, I’ve learned how much developers value tools that are both powerful and intuitive — and that’s exactly what we’re aiming to achieve with Zoer.

I lead initiatives that bridge our AI webapp builder with real-world developer and team needs — helping non-technical teams turn data into internal tools, while enabling developers to extend and customize them in depth. I spend a lot of time talking to users, learning from how they build, and feeding those insights directly back into the product.

We’re still early, but it’s been incredible to see how one prompt can now spin up a fully working webapp. I’d love to hear what you’d like to build next — your feedback helps us shape the future of Zoer. Let’s make app creation faster, smarter, and more collaborative together 🚀

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How do you manage data privacy for the content we upload?

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@nicole_h94 Privacy is a top priority. Here is how we handle it:

  • Your projects are stored in isolated instances. Your data never leaks between users.

  • We use industry-standard protocols to encrypt all sensitive and private data both at rest and in transit.

  • We do not use your proprietary business logic, uploaded content, or app data to train our AI models.

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@nicole_h94 Rest assured that all your uploaded content is fully encrypted and strictly accessible only to you.

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Generating from the database up is the right mental model - the schema IS the spec. Most vibe coding tools let you describe a feature and then you end up fighting the generated db structure. Starting from the data layer and deriving the UI from that should produce way more coherent apps. How are you handling schema migrations when the user iterates on the model mid-build?

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@mykola_kondratiuk Spot on. Using the schema as the spec is our core philosophy. To handle mid-build iterations:

  • SQL Migrations: Zoer Agent performs an automated diff to generate migration scripts rather than just overwriting tables.

  • Data Integrity: It prioritizes preserving your existing data while altering columns or constraints.

  • Auto-Sync: Once the database evolves, the system automatically updates the application logic and UI to match the new "source of truth."

This ensures the app stays coherent as the model grows.

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@mykola_kondratiuk Exactly. We believe starting with the data layer is the only way to build something that doesn't break later. Our PM just shared the details on how we handle migrations above. Thanks for the feedback!

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Congrats on the launch :)
curious how much control devs still have over the generated backend?

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@jody_l_wyatt Thanks a lot 🙂 and great question. Giving developers control is really important to us.

The generated backend isn’t a black box — developers can review, edit, and extend the schema and logic as needed.

We try to provide a strong starting point, while keeping everything flexible so you’re never locked in.

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@jody_l_wyatt Thanks for the support! You have full control. We generate clean, standard code that you can manually edit or extend at any time.

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I've always wanted an "AI CTO" to handle the boring database stuff so I can just focus on the product vision:D Great launch! Does the AI also handle user authentication, like login or signup automatically?

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@kostfast Yes, our AI fully handles user authentication. Zoer understands the context of your requirements and identifies where user verification is needed. It automatically implements modern authentication flows, including email/password signups and Google Login.

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@kostfas Yes, just let Zoer handle these issues!

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How does Zoer handle custom CSS if I want to tweak the 'vibe' manually?

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@oratis We are about to release a WYSIWYG style editor and manual code editing capabilities.

This will allow you to tweak the "vibe," adjust CSS, and make quick styling experiments manually without consuming any tokens.

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Does it support real time collaboration with my team? How do you charge, per seat or based on token usage?

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@jieyu_yang1 Currently we can't support real time collaboration, but I'll give your feedback to our product manager! @kkzz We charge based on token usage, you can different plans on our pricing section.

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@jieyu_yang1 Spot on! We totally agree that teamwork makes the dream work. Real-time collaboration is a high-priority feature for our roadmap, and we’re working on making it happen soon. Thanks for the feedback!

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How do you prevent the layout from 'breaking' when adding more complex content?

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@lily_liu8 We solve this by ensuring the layout is structurally tied to the underlying database schema, which keeps the UI predictable and stable even as your content grows more complex.

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@lily_liu8 You can also join our community on Discord! Any feedback on Zoer.ai would be highly appreciated!

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Love the “schema-first” approach, too many vibe-coding tools look good but fall apart once data gets real 😅.

Agent Mode as an “AI CTO” sounds promising for planning + execution. Quick question: when the AI generates migrations via diffs, how do you handle risky changes (dropping columns, changing types) and rollbacks in production?

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congrats! can I run this in my cloud environment?

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@chintant Not yet. Currently, Zoer runs in our optimized cloud sandbox environment to ensure the best performance and seamless AI orchestration.

All the code and data generated by Zoer can be fully exported, migrated, and self-deployed to your own infrastructure. You own what you build.

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this sounds powerful but also slightly opinionated. how customizable is it?

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@thea5 We offer high-standard defaults to save you time, but you have full control to override any part of it. It’s designed to give you a professional head start without locking you into a specific structure.

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@thea5 The opinionated part is really about giving you a solid starting point (especially around schema and backend logic), since that’s where a lot of fragility usually comes from.

But from there, everything is still fully customizable — you can adjust the schema, tweak the logic, and iterate however you like.

We’re trying to reduce the things that typically break, not limit how you build.

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Finally someone said 'maybe we should build the engine before painting the car' 🏎️ Revolutionary concept in the vibe coding era where everyone's shipping Ferraris powered by hamster wheels

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@ilya_lee Haha, love the analogy! Glad to meet someone who appreciates a solid engine before the shiny paint job!

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@ilya_lee Haha, that’s a great way to put it 🏎️ We love the creativity in this space — but yeah, we’re trying to make sure the engine can actually run long distances, not just look fast in a demo.

Still a lot to improve, but that’s the direction we’re committed to.

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How does the AI handle accessibility standards?

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@kero_lau Zoer focuses on semantic code and WCAG standards to ensure accessibility is built-in from the start. You get a solid foundation that supports screen readers and keyboard navigation automatically.

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What’s the roadmap for animations? Vibe coding plus motion would be lethal.

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Is the output code clean? I'd love to export this to a Next.js project.

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Is there a version control system for different 'vibes' I’ve explored?

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Is the output code clean? I'd love to export this to a Next.js project.

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Happy launch day, team Zoer! The hard work really shows.

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@michelle_thirteen Thanks very much Michelle!

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Hey! Congratz on launch! Just a small note on front-end. You are resizing 2k images to small thumbnails, meaning pointless bandwidth waste on both sides and not so nice looking thumbnails. I suggest doing server-size resize and then serving correct sizes according to screen-width :)

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Congratulations on the launch 🎉 🎉

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@shubham_pratap Thank you so much for the support! It’s been an exciting journey getting to this launch. We can't wait to see what you build with it.

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@shubham_pratap Thanks very much Shubham!

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Congrats! would love to see a real app built with this in the wild

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@wangning Thanks! Many of our early users have already launched their products on Zoer, ranging from internal business tools to customer-facing SaaS. We believe the best "wild" test is a revenue-generating app, and we’re seeing more of those go live every week.

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keen to try this out on a side project

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@blink_66 Looking forward to your project and would appreciate it if you have any feedback for us!

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@blink_66 looking forward to see your project!

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Congrats on the launch!

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@victorzh Thank you very much Victor!

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@victorzh really appreciate it!

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Would love to see a real-world example of a deployed app built with Zoer. Any demos or case studies?

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@luke_pioneero There are several cases and demos on our X account! You can follow Zoer.ai on X! You can also join our discord community to see others' showcases!

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“Prompt to production-ready app” gets thrown around a lot, but starting from DB + logic might actually make it real this time.

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@carlvert Appreciate it! That’s exactly our thinking. The “prompt → production” gap is real, and it usually breaks at the backend. We’re starting there to make it actually work.

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The "schema IS the spec" point is critical. I've spent too much time debugging apps where the UI dictates database changes, leading to brittle systems.

Glad to see the focus on SQL migrations and preserving data integrity. Scaling real-world applications means the schema will evolve, and mishandling migrations is a fast path to production issues. Consistency across the stack is key.

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@marcelino_gmx3c This resonates a lot! Especially the part about migrations and data integrity. We’ve seen how easily things break when schema evolution isn’t handled properly. That’s why we’re investing heavily in making schema changes and migrations more reliable, so apps can actually scale without becoming brittle over time.

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This is really very useful for those who do vibe coding and don’t want to deal with the database part (I find that boring). I want to focus only on the creation part 🙂

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@tatifelipiak Totally get that 🙂 That’s exactly why we built this — so you can stay in the “creation flow” without getting pulled into database details. Let the AI handle the boring parts, you focus on building something fun!

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@tatifelipiak Yeah, we just want you guys to start building your app as easy as possible. Creation is more important.

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#3
Fastlane
Create viral content for your product in seconds
338
一句话介绍:Fastlane是一款AI短视频内容引擎,帮助创业者和产品团队通过混剪热门视频模板,快速生成并一键发布至TikTok、IG Reels和YT Shorts,解决“产品易建、增长难获”的获客痛点。
Marketing Social media marketing Vibe coding
AI视频生成 短视频营销 内容创作自动化 增长黑客 社交媒体管理 产品推广 SMB工具 混剪工具 Tinder式交互
用户评论摘要:用户普遍认可产品解决内容创作痛点的价值,询问具体适用场景(如B2B SaaS、移动应用)、内容同质化风险、算法优化逻辑、免费计划限制及视频生成模型细节。团队回复积极,强调数据分析与个性化生成。
AI 锐评

Fastlane精准切入了一个日益尖锐的矛盾:在AI大幅降低产品开发门槛的当下,流量获取与用户注意力争夺已成为创业者的新瓶颈。它本质上不是一个单纯的AI视频工具,而是一个试图将“增长”系统化、产品化的“分销引擎”。其核心价值不在于视频生成的炫技,而在于它承诺的“反馈闭环”——通过分析内容表现数据,反向指导生成策略,试图将玄学般的“网感”和数据驱动的“优化”相结合。

然而,其模式潜藏两大挑战。其一,内容同质化风险。尽管团队解释会结合网站调性进行个性化,但源头模板库的趋同和算法对“已验证爆款”的追逐,可能导致平台输出内容逐渐“套路化”,削弱长期效果。其二,价值天花板。产品目前重度依赖短视频平台的生态与算法红利,其“搬运+混剪”的范式若触及平台原创或重复内容红线,或将面临风险。此外,对于需要深度沟通的B2B或复杂产品,短平快的内容能否有效转化,仍需观察。

团队展现了对市场痛点的深刻理解(源自自身创业经历)和敏捷的社区互动能力,这是早期产品的宝贵资产。但若想从“有用的增长工具”进化为“不可或缺的营销基础设施”,它需要在个性化推荐算法、多平台内容策略差异化以及更深入的转化归因分析上,构建更深的护城河。当前,它是一个高效的“内容杠杆”,但尚未成为真正的“增长大脑”。

查看原始信息
Fastlane
Fastlane is your AI short-form content engine, where you can remix viral videos into content for your business in seconds. Fastlane will generate ready-to-post content for your business, then let you swipe through them like Tinder. Then, you schedule straight to TikTok, IG Reels and YT Shorts in-platform - so you can focus on building, while the content brings in users on autopilot.
Hey Builders 👋 Gaurav here, co-founder of Fastlane. “Build it and they will come” used to be the dream. Now? You can build faster than ever. Ship in days. But getting people to actually see what you’ve built… that’s never been harder. Launch day: 🚀 You’re excited. You finally ship. The next day: 📉 No views. No users. Just… silence. We’ve been in this exact spot ourselves. Before Fastlane, we were building our own products and felt the challenge of growth first hand - constantly guessing what to post, what might work, and then spending hours creating content. Over time, we started studying what was actually going viral, and then remixing that into our own content that performed really well, which eventually drove 50M+ views across our previous projects. So, we built Fastlane. Fastlane is the fastest way to create viral content for your target audience. Instead of guessing what to post, it remixes videos that are already working into content for your product, whether that’s: ⚡ Slideshows 🎬 Hook + demo videos 🎭 AI UGC videos 🟩 Green screen memes Instead of wasting hours confused by what “content” even is, you just: 👉 Swipe through trending, made-for-you content in Blitz mode (Like Tinder!) 👉 Approve what you like, or make finishing touches in our editor 👉 Publish straight to TikTok, IG Reels, and YT Shorts One of our first ever users went from: 📈 Zero → 150 paid customers 👀 300k+ total views Purely by posting content in Fastlane. This is made for builders who want to do growth without the headache. We have a huge vision for what we want to build at Fastlane, and would love your feedback and thoughts in these early days 🙏 Stop driving in circles. Enter the Fastlane 🏎️ If you’re still reading this, what’s the hardest part about creating content for you right now?
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@gauravthapa Honestly, the hardest part is figuring out what to actually post. Like knowing what will land vs just posting for the sake of it. It takes way more time than it should, so I’m really keen to see how Fastlane makes this whole process easier for everyone!

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@gauravthapa This tool looks really neat, I love the UI, props to Gaurav. Can you make AI UGC content that showcases your software? I'm thinking something like those videos where they hold up their computer screen and talk about it in a Tiktok?

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@gauravthapa This sounds really promising. Congratulations on the loss. Gaining social media traction despite being confident in the content is something which is personally really frustrating. I will explore it furhter, because, yes, I want the product and services to be noticed.

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Hey everyone - Jock here from Fastlane.

We started Fastlane because we believe that today, anyone can build a great idea - but getting that idea to the people who want it is still such a difficult and time-consuming task.

We want to bring those great ideas to the world. And we want to do it in the most capable and seamless product ever made.

Fastlane’s mission is to unlock the world’s best ideas, through great distribution.

We have a huge vision for what we want to achieve here, and we are super grateful to have you on the journey with us in the early days.

We can't wait to help grow your product :)

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@jockferguson Let's go Fergy!!!

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@jockferguson Let’s go!! 🏎️

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Hey everyone,

Anish here, the dev behind Fastlane.

As an indie hacker, I’ve always thought building was the hard part. Now with AI, you can ship faster than ever. But getting people to actually see what you’ve built? That’s still the hardest part.

I’ve felt this firsthand, launching something, posting about it… and hearing nothing back. Even before AI, distribution was always the bottleneck. Now that everyone can build, attention is what matters most.

That’s why we built Fastlane.

We want to help builders turn their ideas into content that actually reaches people, without overthinking or spending hours figuring out what to post. You've built your product, now its time for the world to see it!

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@anish27 the young GOAT!! Lets goooo!!!

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@anish27 A different breed 🚀

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Fastlane promises a feedback loop (“track growth and generate more of your winning content”): what metrics/events are you optimizing around (views vs retention vs clicks vs site traffic), and how does the system decide what to generate next based on what actually worked?
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@curiouskitty good one - we're building out the insights layer, such that you're recommended to double down on what's working

we have quite advanced analytics so you can work this out on yourself in the platform itself too

its user-led when it comes to what we're optimizing for i.e. if you want just views, they can make content thats more engagement farming as opposed to having a hard CTA.

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@curiouskitty We essentially break down the performance of all of your content, which types performed the best, across which channels. We will then automatically give you a weekly insight based on what you should create next based on performance, and generate it for you :)

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I’ve tried remixing viral content manually; the hardest part is consistently capturing the right vibe.. how does Fastlane handle the algorithmic nuances of different platforms?

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@trydoff Great question! We are aware of what kind of content is trending on what platform - interestingly though, a video that bangs on TikTok, seems to bang on IG reels + YT shorts too! So I'm not too sold on the nuances here, personally

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@trydoff This is one of the things we've spent the most time on - the best method at the moment is leaning on the content that has already gone viral on each of the different platforms, analysing from the hooks / vibe that caused it to bang, and remixing that into your own content :)

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Does this work for mobile apps? for example, if I want to create contents for my iOS app (https://apps.apple.com/app/id6758521484), would that work? Also, should I post the website, or the App Store link? Thanks and congrats!

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@jose_martinez_fernandez Yes, that's actually our primary use case right now Jose! Website is better, assuming you have more information on the website!

Let me know how you go :)

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@jose_martinez_fernandez 100%, mobile apps is a massive use case currently :)

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I tried Fastlane when it still was called Aftermark, and it has since been one of the few "ai video generator tools" that actually converts. so thank u guys

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@luca_ardito Luca man, this is some serious high praise. Thank you so much!

Hope you keep using and loving the platform :)

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@luca_ardito super happy to hear man, we are determined to make this product 10x better from here

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Let me know if you have any questions - will be live (let's see if I get any sleep) responding to all :)

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I've been using this for about a month, my stats are in the image(and I wasn't even scheduling posts daily - the 49 posts number you see is for both Instagram and TikTok).
Great product - great team behind it - congtats on the launch!

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@seanitzel Thank you so much Sean. What an awesome graph, haha!

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@seanitzel Love it man - that hockey stick looks to be beginning...

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Cool looking product! Upvoted.

My question: if multiple companies are remixing from the same pool of viral content, how do you prevent everything from converging into the same style?

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@jens_deryckere1 Hey Jens! Thank you :)

It's a good question - ultimately, the style is also configured to (a) the tone of your website and (b) the actual content on your website which then translates into product. So, the content output will be different for each company, assuming the actual companies are different!

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@jens_deryckere1 Just adding to Gaurav's point - that pool is also changing every single day! The algorithm is always looking for the next viral piece of content to show to people, and people's preferences change super quickly. Styles also go in and out of fashion, and trending content from a few months ago can suddenly start performing really well again :)

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Cool. Can it also use ready made ads to generate similar content for your products?

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@shemojs Yep, you can upload a product demo to the platform and we stitch that in to some of the content!

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As someone running a SaaS for small businesses, content creation is the bottleneck that never goes away. We know we should post daily, but between building product and talking to users, it just doesn't happen. The Tinder-style swipe interface is smart — removes decision fatigue. What's the quality like for B2B SaaS content specifically? Most short-form AI tools skew toward DTC/e-commerce.

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@ilya_lee Great question! We actually skew more towards B2C SaaS/Apps - interestingly though, many B2B SaaS companies have had great success on the platform, because whether you're a prime consumer, or a business owner/operation, you're scrolling on TikTok regardless!

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congrats on the launch

Okay its a cool app and I love the design of your site, especially that red F1 car, from the site you can tell its for creators but does it only support tiktok, insta reels and youtube shorts only what are usage limitations on the free plan?

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@foundryseed thank you! yep current integrations are TT, IG and YT

free plan you can do anything as a pro user can, but you will get hit with a limit after posting a certain amount of content!

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Love the product already @gauravthapa didn't really know what direction to take for content but after seeing some examples it just makes sense! Is the free tier intended to reset daily or is the 5 saved post the limit?

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@jlin1206 Hey Justin! Awesome feedback, this was a big issue for us dealing in UI/UX because it's a bit of a learning curve, but glad it made sense to you.

That's the limit unfortunately!

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@gauravthapa  @jlin1206 Awesome to hear that man. Free tier is a one-time limit, so you can try everything out and see how it works while also keeping our servers from melting by not giving a daily allowance of free content hahah

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Okay, this most definitely caught my eye today :D Will be tinkering with it a bit. What video generation models are you guys using? Also, is it possible to feed it context of some recently viral videos (or trends) for the AI to replicate?

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@marina_romero Her Marina! Awesome, hope you enjoy the tinkering. We're currently testing between a few different generation models - and we are working on a feature where you can just upload a viral video yourself and we help recreate it!

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@marina_romero also, what caught your eye the most?

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Just gave it a try and it blew my mind!!

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@theivychen Hahah that's so amazing Ivy. What blew your mind exactly?

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@theivychen Very happy to hear Ivy - can't wait to help your brand grow :)

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All the best.

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@mustapha_ajermou1 Hey Mustapha! Thanks very much, you too :)

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great app man! pretty useful

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@ibuild Hey Hanu!

Appreciate the kind words man. Did you manage to check it out?

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Love the focus on distribution.

A clear example or case study upfront could make the value more obvious instantly.

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@sergioding Hey Sergio! Thank you :)

We have a case study in the Gallery, should probably bring it up a bit earlier?

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@sergioding Thank you man! What did you think of the video example / demo?

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This looks interesting! Will have a play with it!
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@chimwemwe Hey hey thank you! Let me know how you go, and if there's anything I can help you with :)

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#4
Honestly
Real reviews from Reddit & YouTube when shopping online
285
一句话介绍:Honestly是一款Chrome扩展,在电商产品页面直接聚合并展示来自Reddit、YouTube等社交媒体的真实用户评价,解决了消费者因传统五星评分体系不可信而需跨平台手动搜索验证的痛点。
Browser Extensions Chrome Extensions E-Commerce
电商购物助手 浏览器扩展 真实评价聚合 社交媒体监听 消费决策工具 反虚假评论 Shopify生态 产品研究 信任科技 消费者赋能
用户评论摘要:用户普遍认可其解决“评价信任”痛点的价值,并提出了关键问题:如何优先排序/过滤评论、如何证明能提升转化率、如何精准识别“真实”内容、如何应对无社交讨论的产品、以及初期用户激活和界面可见性挑战。团队回复透露了算法排序、品牌合作验证、反赞助内容检测及未来个性化推荐等发展方向。
AI 锐评

Honestly剑指一个真实且日益严重的市场断层——官方评价体系的全面失信。它的核心价值并非简单的信息聚合,而是试图在消费决策的“临门一脚”时刻,充当信任的“基础设施”。产品聪明地避开了与AI生成内容的红海竞争,以“非AI”作为信任卖点,这既是差异化策略,也反映了当前消费者对AI内容泛滥的深层警惕。

然而,其面临的挑战与机遇一样巨大。首先,从“信息工具”到“信任基础设施”的跃迁,关键在于其过滤算法的公正性与透明度。团队提到的“内容权威度”内部算法是一个黑箱,而虚假信息同样会侵蚀社交媒体。如何建立比现有平台更可靠的鉴别体系,是其生命线。其次,商业模式存在潜在冲突:同时服务消费者和品牌(通过Shopify应用)。当品牌付费获取差评数据或试图影响排序时,如何保持C端用户的绝对信任?这需要极其谨慎的平衡。最后,其价值呈现存在“冷启动”悖论:对于没有社交声量的新产品,工具价值骤降;而作为浮动小部件,用户激活和习惯培养是一大门槛。

本质上,Honestly是在消费链条中捕捉“信任套利”的机会。它能否成功,不取决于技术多炫酷,而取决于能否以近乎“公共产品”的中立姿态,建立起坚不可摧的信用壁垒。这条路布满荆棘,但方向无疑是正确的。

查看原始信息
Honestly
The 5-star system is broken. Honestly is a Chrome extension that finds and verifies real product opinions from Reddit, TikTok, YouTube & Instagram directly on product pages. No ads, sponsorships, nor AI. Just reviews you can trust.

How do you decide which real reviews from Reddit or TikTok to prioritize or filter first; like recent ones, most upvoted, or from verified buyers, to cut through noise fastest?

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@swati_paliwal Right now we have an internal algorithm that determines content authority using the likes, comments, creator and more variables. This is only getting better with time!

What we want to eventually get to is not creating one ranking for all, but rather having "good for X / bad for Y" style ranking. For example, if you're a runner in Finland, you're looking at this shoe for a different reason than a runner in LA. What might matter is a review that speaks about the waterproofing, the durability in cold weather, etc..

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When someone is already using a traditional reviews stack like Yotpo/Okendo/Stamped (or even Trustpilot), what’s the specific breaking point that makes them add Honestly—what part of the PDP decision journey is failing today, and how do you prove you’re fixing it (conversion lift, reduced bounce to other tabs, time-to-purchase)?
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@curiouskitty The kitty is always coming in with the big questions! The specific part of the PDP journey failing today is the point after a shopper reads all descriptions and reviews on the page. Once a shopper clicks "Add to Cart" and realizes the next step is to spend their money, they hesitate and find external validation from real people on social media who aren't paid to speak on a product.

By bringing the reviews shoppers already look for to every PDP, consumers can use this information to make a very simple purchase decision instead of getting lost in the noise of the internet. Furthermore,

We're partnering with various Shopify brands at the moment to give the exact numbers on how effective this is, and are already seeing very promising results. Super excited to demonstrate how using Honestly can significantly reduce cart abandonment very soon!

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How this tool can identify the "realness"? What are the parameters for identifying what is justified review?

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@busmark_w_nika We do our best to filter our any posts that have sponsored content in them, AI generated content, and/or fake content. There are many people who review farm and those are easy to spot, and our sponsored content detection is getting better as we build larger datasets and have better transcription on videos.

There will absolutely be content that makes it through our filters, maybe we can add a "report as sponsored/fake" button on each review card.

What do you think of us not hiding all this content, but rather tagging it properly and allowing you to filter it?

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This hits a real pain point.

Ratings are broken, people already dig through Reddit and YouTube before buying. Bringing that context directly into the page is smart.

If you can keep it clean from spam and manipulation, this becomes a must-have.

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@ebruollang This is exactly what we are going for, glad to see you recognize the mission we are on! If you ever have any feedback or questions about how we are approaching this definitely let us know :)

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Hey Product Hunt 👋, I’m Paolo, CEO & Co-founder of Honestly.


THE PROBLEM

Online shopping is broken. Not because there aren’t enough reviews, but because you can’t trust them.

Why today’s review system needs fixing:

Fake & incentivized reviews: Over 30% of all online reviews are fake and ads are everywhere. This will only get worse as AI gets more unrecognizable.

Time wasted finding real opinions: The takes that matter live in social media, so to get there, the average shopper spends 30 minutes buried in tabs just to find something useful.

After experiencing this frustration over and over ourselves, we decided to fix it.


WHAT HONESTLY DOES

Honestly brings real, verified opinions directly onto product pages where they belong.

Instead of relying on a suspicious 5-stars, we surface what real people are already saying elsewhere.

Instant real reviews: Pulls genuine opinions from Reddit, TikTok, and YouTube real time.

Automatically verified: No bots, no AI summaries, no paid ads. Just authentic human voices.

No more tab suffocation: Now that everything is in one place, no need for jumping between Google, Reddit, YouTube, and other social platforms.

Clear buying signals – See what people actually love & hate before you spend your money.


WHO IS THIS FOR?

If you shop online and want to make better decisions without wasting time or getting tricked by fake reviews, Honestly was made for you.

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Congrats on the launch guys :) Love the idea!!

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@gauravthapa Thanks! We're working on making it better by the day, let us know if you have any recommendations at lets@usehonestly.com!

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Just a FYI for those who are looking simply for the chrome extension, here's the direct link to our extension page: https://chromewebstore.google.com/detail/honestly/mjnniilmpkfkkeadhkcdakibbpmpaehl

Our current website is more geared towards brands, we're working on building a new landing page specifically for consumers :) Thanks!

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Congrats on the launch guys! Congrats @scott_davidson_jr

Once the tool aggregates all the discussions, what formats can we extract this data in? Is there a way to export these insights to share with the broader team, or does it all live inside the dashboard for now?

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@byalexai Thanks so much Aleksandar! As a consumer, at the moment there is no data to extract/export - it's just an ability to see all the reviews from social media relevant to the product page being viewed.

As for brands that are interested in getting the review data, that is something we provide in a dashboard catered to what product features, trends, or categories of reviews each brand is interested in to increase website conversion rates.

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Incredible idea! I always turn to reviews on social media whenever I shop online so this could be really helpful for me. But one thing I look at as well is expert articles online. I find that these are the most thorough especially when various features of products are explored and ranked. So I was wondering if you plan to add on expert articles in the future as well as other content on the internet beyond just social media reviews?

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@alj123 Thanks so much and great question! That is definitely something on the roadmap for the future. Those expert articles are super valuable, but we decided to go with social media reviews since there is a lot more content across a wider range of products in general.

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@alj123 Hey Al, that's a great point! We're gonna be looking into partnerships with reputable expert forms to improve the overall experience using Honestly :)

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Reddit and YouTube reviews are genuinely the most useful signal when buying something. Sponsored content is noise but someone spending 20 minutes testing a product on YouTube usually catches the real issues. Does it pull the actual text/timestamps or just surface the video links?

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@mykola_kondratiuk 100% agree. These days online shoppers trust a stranger on Reddit or YouTube much more than any review a brand's review site or on platforms like Trustpilot. In terms of how we pull the videos in, we retrieve the actual comment, post, or video so that it can be viewed on the page. Specifically for the videos, we also have time stamps attached to parts of the transcript relevant to the product being reviewed.

This way, the shopper never needs to leave the website!

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Super excited to be on this journey of making online shopping more transparent with a better review system!

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I think you should try to do a more elaborate platform built in your website just like https://reppit.ai for example, currently it look more like a Service Agency website than a chrome extension tool it's a little bit weird.

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@vesper_city Great point, we are creating a site that caters to both Chrome extension users as well as Shopify stores since we are currently developing a Shopify app as well. The goal is to allow both the average shopper and brands bring transparent reviews from social media into the shopping experience. That's helpful feedback as we continue to improve our site!

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@vesper_city 100%, might even make a separate landing page for the consumer chrome extension to reduce confusion.

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This is literally automating my own shopping workflow — I always add 'reddit' to every product search because Amazon reviews are 80% fake at this point. Smart move keeping it non-AI. How do you handle products with no Reddit/YouTube mentions? And is there any deduplication for reviews from the same user across platforms?

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@ilya_lee Exactly! Fun fact, Kalvin and I ran into this problem while testing another startup idea (it was an AI voice agent to help you shop) and the first thing we noticed with every user test was someone copying the product name then going to reddit, youtube or TikTok.

Right now for the products with no reviews our research is quite limited. One of the ways we can try to fix this is by pulling reviews for the actual brand. What do you think about this? How would you go about doing review research for a product without any reddit/youtube content?

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People already check Reddit or YouTube before buying. The part I’m curious about is what happens right after install. Right now the value depends on the user remembering to click and check. If that first moment isn’t obvious, a lot of people might install it and never actually use it enough to feel the benefit.

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@arun_tamang 100%. We're currently a floating widget on product pages and we're working on making it easier to 'spot' as some people who download the extension tell us they can't find it. We'll push an update to this as soon as we get more data on what works best.

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Great idea! But now I have a problem - I won’t be able to choose a product at all because I always focus only on the negative reviews, haha. Seriously, though, this is a super useful app for me. The main thing, in my opinion, is to add protection against deliberate campaigns to damage a brand’s reputation through fake negative reviews.

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@allurepixel Absolutely! This is actually such a big issue. We've been speaking to brands and figuring out how our data and analysis can help them too.

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Love it, team. Congrats on the launch!

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@ethankeshishian Thanks Ethan! One step closer to building a more transparent internet :)

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As a first-time Product Hunt user, I’m approaching this as a novice with limited experience evaluating SaaS platforms quickly.

From my perspective, the landing page felt unclear in terms of what exactly is being offered. At first glance, it appears to be a social media monitoring tool -> sounds great!

However, I also noticed there’s a Chrome extension and it left me wondering: who is the primary audience here? Is this built for users like me (e.g., brands or marketers) to monitor my brand, or is it intended for general consumers?

This raised a broader question about the product’s positioning. Is this a dual-sided platform that depends on consumer adoption to deliver value to brands? Or is it simply an extension of the same technology into a different use case?

I understand the offering to brands, and it's a great offering. Congrats.

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@tryexcept Hey Jay! Appreciate the comment and totally agree (we're also first time product hunt launchers!). We have two separate offerings. One for consumers and one for brands. In retrospect, the website is heavily catered to our brand offering. We got a lot of feedback echoing this and we're already in the process of building a separate landing page for the consumer product, so that they won't get mixed up!

To your question about the positioning, we offer the chrome extension for free for consumers and we have a much more in depth version for brands to use! Social listening is one aspect, competitor analytics is another, content creation ideas, etc.. We can basically tailor the product to your needs using our data.

One example is a brand wanting to know when someone complains about a jersey they bought eBay, so that they can reply and offer their jersey marketplace as a solution.


Another is finding creators who have affiliate links for X product that go to amazon so they can contact them for their affiliate network. The possibilities go on!

Thanks again for the kind words and if you ever wanna chat you can reach us at lets@usehonestly.com!

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How do you handle products that have very few mentions across Reddit and YouTube? Do you fall back to other sources or just show what's available? Congrats on shipping!

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@borrellr_ Thanks! For products that don't have social proof we're thinking of focusing on the brand as a whole rather than the specific product. That way you can tell if this is a trusted brand and by who. What do you think, how do you usually handle researching products that don't have any social proof?

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#5
Claude Usage Tracker
See exactly how much you spend on Claude, across every tool
222
一句话介绍:一款本地优先的Claude使用成本追踪工具,通过自动扫描多款开发工具的本地会话数据,为跨工具使用Claude AI的用户提供了统一、透明的成本仪表盘,解决了支出分散、难以监控的痛点。
Open Source Developer Tools GitHub
AI成本管理 开发者工具 本地应用 使用分析 开源软件 数据可视化 Claude 效率工具 隐私安全 macOS应用
用户评论摘要:用户普遍认可其解决真实痛点,赞赏零配置、本地优先及热力图功能。主要问题与建议包括:跨设备数据合并、Windows版本支持、更细粒度(如每项目)的成本分析、成本计算准确性验证,以及增加缓存节省预测等高级功能。
AI 锐评

Claude Usage Tracker 表面上是又一个“仪表盘”工具,但其真正的价值在于充当了一个非官方的、逆向工程式的“数据聚合层”,悄然揭示了AI原生工作流中的一个深层矛盾:开发者生产力工具的碎片化与成本管控的集中化需求之间的断裂。

产品聪明地避开了与任何单一工具(如Cursor)的API集成硬仗,转而利用各工具在本地存储的日志文件这一共性弱点(或说特性)进行“数据收割”。这种“本地扫描”模式,使其以极轻的姿态,成为了一个跨工具生态的“超级监视器”。这不仅提供了成本可视性,更可能在未来衍生出更深度的行为分析——如评论中所期待的,识别“低效烧token”的会话模式。

然而,其核心局限性也源于此。首先,其数据准确性和完整性完全依赖于下游工具日志的规范性与开放性,这是一个脆弱的根基。其次,“本地优先”在保障隐私的同时,也限制了其作为团队成本管理工具的潜力,仅适合个体开发者。最后,其价值命题面临一个根本性质疑:对于真正高频率、高支出的重度用户,他们可能直接使用Anthropic API并依赖其官方仪表板;而对于轻度用户或Pro/Max订阅用户,这种API等效成本计算更多是“心理账单”,而非实际支出。

它的成功,与其说是技术上的突破,不如说是对市场空白的一次精准卡位——在官方统一解决方案缺位时,满足了早期采用者们的“成本焦虑”。但长远看,其命运可能取决于两点:一是能否从“成本显示”升级为“成本优化建议”引擎;二是当其主要监控的工具(如Cursor)开始内置类似功能时,它如何保持不可替代性。目前,它是一个精致而必要的“补丁”,但尚未构成一个稳固的“平台”。

查看原始信息
Claude Usage Tracker
No single place shows your total Claude spend across tools. If you use Cursor, Claude Code CLI, Windsurf, Cline, or others — each burns tokens separately and you're flying blind. Claude Usage Tracker auto-detects 9+ tools, scans local session data, and shows everything in one dashboard: daily costs, model breakdowns, heatmaps, session logs, and monthly projections. Native macOS app or browser mode for other OS device. No cloud, no accounts, no telemetry. 100% free and open source (MIT).
Hey Product Hunt! I built Claude Usage Tracker because I had a simple problem: I use Claude through 5+ different tools every day (Claude Code CLI, Cursor, Claude Desktop, Cline…) and had no idea what my total spend actually was. Each tool stores session data locally in different formats and locations. So I wrote a collector that scans all of them, normalizes the data, and pipes it into a single dashboard. Some things I’m proud of: Zero setup — it auto-detects which tools you have installed Accurate pricing — uses Anthropic’s official per-million-token rates, including cache read/write costs The heatmaps — seeing your peak usage hours and days is surprisingly revealing Native macOS app — not Electron, just a lightweight Swift WKWebView wrapper It’s completely free, open source (MIT), and everything stays on your machine. No accounts, no cloud, no tracking. If you use Claude through multiple tools, I think you’ll find this useful. Would love your feedback!
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@stevie_658jjh Congrats on the launch! 🚀

This is actually very useful. It’s easy to lose track of usage when working across multiple tools, so having everything in one place makes a lot of sense.

Really like the local-first approach as well.

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@stevie_658jjhLove the concept this could do really well on Kickstarter. Are you planning a pre-launch email funnel or relying mostly on PH traffic?

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@stevie_658jjh Have you considered adding projections for cache savings, since those can swing costs big time?

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Great product

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Congrats on the launch!! Upvoted, budget control becomes more and more important!
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@daniel_dorne  Thank you for the upvote! Absolutely, as these tools become part of daily workflows, visibility into spend is essential. Hope it helps!

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Love the idea of tracking Claude costs, but curious does it handle cases where users switch between multiple device?

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@trydoff Great question! It's local-first so it reads data from each machine separately, but there's a built-in export/import feature - you can export your data as JSON from one device and import it on another to get a combined view.

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Oh I needed this yesterday! I use Claude Code and Cursor every day and it sounds very useful. The heatmap feature is great too - I bet I'll see a pattern of my late night coding sessions. Does it track token usage retroactively from existing session data, or does it only start counting from when you install it?

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@ben_gend Thanks so much! And yes, the heatmap is great for exactly that, you'll definitely spot those late-night patterns (guilty here too).

It works retroactively! The app scans the existing JSONL and log files that Claude Code, Cursor, and other tools already store on your machine (e.g. ~/.claude/projects/, ~/.cursor/, etc.). So the moment you open it, you'll see your full usage history - no need to wait for new data to accumulate.

It also uses the actual timestamps from those session files, so your heatmap and cost breakdown will be accurate all the way back. Give it a try and let me know how it goes!

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It's dope bro!! When will you release the window version

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@nathan_tran2 Thanks! It's macOS only for now. Windows support is something I'd love to do, it's on the roadmap but no timeline yet. Stay tuned!

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@nathan_tran2 Just remember that we can also use on Windows with the browser mode. Check the guide detail here.

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congrats! do you track per-query or per-prompt cost? we use it across cursor, clay and claude desktop and would like to know what are our most costly use-cases and if we can optimize use by switching models for our most expensive workflows, right now everything pretty much uses opus 4.x

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@chintant Thanks! It tracks per-session cost with full model and token breakdowns, so you can see exactly which sessions are burning through Opus. That makes it easy to spot workflows where Sonnet would do the job just as well - those swaps can cut costs significantly. Give it a try and see where the spend is going!

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@stevie_658jjh how accurate is the cost calculation across different tools? Have you validated it against actual billing from Anthropic?

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@denious  Good question! The costs are calculated using Anthropic's published per-token API pricing, applied to the token counts logged by each tool. For API users, it should closely match your actual bill. For subscription plans (Pro/Max), the numbers represent API-equivalent cost - basically what your usage would cost at pay-per-token rates, which is useful for understanding your consumption. If you spot any discrepancies with your actual API bill, definitely let me know - happy to investigate!

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the heatmaps and monthly projections caught my attention. we've been trying to track our AI tool costs manually and it's a mess. being able to see model breakdowns across different tools would help us optimize which models we use where.

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@piotr_ratkowski That manual tracking pain is exactly what this solves. The model breakdown makes it easy to spot where you might be using Opus when Sonnet would do the job - those swaps add up fast. Hope it helps!

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Nice congrats!
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@mogabr Thank you

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This solves a real problem. Right now I have a Chrome tab permanently open just to monitor usage, which is exactly the kind of friction that shouldn't exist when you're deep in a session.

The normalisation across tools is the hard part you probably don't get credit for in the headline. Each tool storing session data in different formats and locations means this isn't just a dashboard, it's a data pipeline with a UI. The zero setup auto-detection is what makes it actually usable rather than just theoretically useful.

The heatmap feature is the one I'm most curious about. I use Claude Code daily for building and I'd genuinely want to see whether my peak spend correlates with productive sessions or with the ones where I'm going in circles and burning tokens on context that isn't working. That could change how I structure my working day. Installing this today. Congrats on the launch!

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@joao_seabra  Thank you! The normalization layer was honestly where most of the work went - glad someone noticed.

Love your idea about using the heatmap to spot "going in circles" sessions vs. productive ones. Might explore that angle in a future update.

Would love to hear what patterns you spot!

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Congrats on launching today, glad to be launch buddies! Sending my dev this product ASAP :)

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@gauravthapa >Thanks! Hope your dev finds it useful 🚀

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This is the tool I didn't know I needed. I've been using Claude Code and Cursor side by side for months and had zero visibility into which one was actually eating my budget. Just "oh the bill went up" with no idea why.

The per-model breakdown is really useful too. I bet most people don't realize how much they're spending on Opus vs Sonnet calls. Does it show per-project breakdowns or just overall?

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@mihir_kanzariya Thanks! That "oh the bill went up" feeling is exactly why I built this. Right now it shows per-source (Claude Code vs Cursor etc.) and per-model breakdowns, so you can see exactly where the spend is going. Per-project breakdown isn't visualized yet but it's on the roadmap. Give it a try!

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#6
Nomie
AI wellness app that turns doomscrolling into self‑care
199
一句话介绍:Nomie是一款AI健康应用,它通过将无意识的“末日刷屏”行为,转化为引导式呼吸练习、日志记录和情绪支持等即时自我关怀活动,在用户感到压力或精神耗竭的刷手机时刻,解决数字过载与神经系统疲劳的痛点。
Health & Fitness Productivity Artificial Intelligence
数字健康 AI健康助手 心理健康 自我关怀 行为干预 正念科技 情绪调节 习惯重塑 健康科技 移动应用
用户评论摘要:用户普遍认可其“将刷屏转为自我关怀”的核心理念。主要问题与建议集中在:产品如何更有效地在习惯形成初期(如锁屏、通知层面)进行干预,而非仅依赖用户主动打开应用;有用户反馈部分“重置”功能存在延迟和触觉反馈问题,开发者已回应将改进。
AI 锐评

Nomie提出的“状态优先,而非思想优先”理念,是其最犀利的价值主张。它没有天真地试图让用户在焦虑螺旋中“思考出路”或完成一段正式冥想,而是狡猾地利用了原有的有害行为模式——刷屏。它将刷屏的载体从制造焦虑的信息流,置换为提供“微光”的交互式卡片,这是一种极具现实感的“劫持”策略。

然而,其最大的战略矛盾也在于此。产品承认“习惯循环始于意图之前”,却主动放弃了在锁屏或通知层面的前置性、自动化干预,理由是“避免侵入感”。这固然是出于对用户隐私和心理压力的尊重,但也可能使其效力大打折扣。当用户已被算法卷入情绪漩涡时,是否还有足够的认知资源去“主动打开Nomie”?这构成了一个行为改变上的关键断层。

它的真正对手并非Calm或Headspace,而是TikTok和Instagram的推荐引擎。它的战场是用户指尖滑动时那毫秒级的决策点。Nomie目前的“温和出现”策略,更像是在战场边缘建立了一个设施完善的避难所,但最激烈的战斗发生在更前沿的阵地。其未来价值取决于它能否在“非侵入性”与“及时性”之间找到更精妙的平衡,或许需要更深度的系统级集成或情境感知AI,才能真正实现“在需要时恰好出现”的承诺。否则,它可能只是为那些已有较强自省能力的用户,提供了一个优雅的工具,而难以触及最需要它的、被习惯完全支配的群体。

查看原始信息
Nomie
We’re building an AI wellness app that transforms doomscrolling into intentional self-care. Nomie is for people who feel overwhelmed, stressed, or mentally drained by constant screen time. Instead of asking users to disconnect, it redirects scrolling habits into guided resets, breathing exercises, journaling, and emotional support. We solve the problem of compulsive digital consumption by turning screen time into a tool for calm, focus, and regulation.
Hi Product Hunt Community, 👋 Excited to hunt Nomie today. We spend hours on our phones every day, and most digital experiences are designed to keep us hooked — not grounded. What stood out to me about Nomie is that it doesn’t ask you to disconnect or delete your apps. Instead, it transforms those in-between scrolling moments into something restorative. Nomie is building an AI-powered wellness companion that helps redirect doomscrolling into guided resets, breathing exercises, journaling, and real-time emotional support. It’s a thoughtful approach to a very real problem: digital overwhelm and nervous system fatigue. If you’ve ever picked up your phone to relax and ended up feeling more anxious, this one’s worth checking out. Curious to hear what the community thinks 👇
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Anything that is anti doomscrolling is a big win in my opinion. Great work !

Hope it is a massive success !

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@matt_priestley Thanks for the support! :)

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@matt_priestley Thank you so much ( :

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The doomscrolling-to-self-care flip is a smart reframe. The hard part is the habit loop - people pick up the phone for dopamine, not intention. Does Nomie intercept at the lock screen / notification level or does it only activate once you are already in the app?

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@mykola_kondratiuk thanks for your question! That’s the hard part, the habit loop starts before intention.

Right now Nomie mostly activates once you are in the app. We use light nudges, but we are not trying to aggressively intercept or track behavior. That can feel invasive and just add more pressure.

Our approach is less about fighting the habit and more about meeting yourself with a bit more kindness in that moment. You pick up your phone for a reason. Nomie just gently shifts that experience so it actually helps you feel a little better.

Over time the shift is simple. Same impulse, but a softer, more supportive place to land :)

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@mykola_kondratiuk Thank you so much, You got it right!

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Congrats on the launch! Love the mission of turning doomscrolling into mindful resets. I’ve checked out Nomie and found some small delays in the 'reset' features and the touch feedback

I'd love to help you fix these and make the app perfectly smooth.

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@sergioding noted! We will improve the interactions. If you try on the iOS app, the experience would be a lot smoother

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Good Luck! Meeting people where they already are (on their phone, scrolling) and turning that into something useful is a much easier sell. As someone who runs a startup I catch myself doomscrolling at midnight way too often. How does Nomie actually intercept the scrolling moment? Is it a notification, a widget, or does it detect when you've been on your phone too long?

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@ben_gend That’s exactly the moment we care about, the late night “why am I still scrolling” spiral. Right now we do not interrupt or track you. That tends to feel invasive and just adds more noise. Instead, we focus on being something you can easily reach for in that moment.

Once you open Nomie, you can shift your state right away with breathing, grounding, and small glimmers on the Bloomscroll feed. You are still scrolling, which makes it easier to stick with it, just with content that is better for your brain. Over time the behavior is simple. You catch yourself doomscrolling and Nomie becomes the next tap.

We are exploring smarter ways to show up at the right moment, but we do not want to become another app fighting for your attention :)

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Hi Product Hunt community! My cofounder@abhinavvishwa and I are serial founders. Over the years, we’ve built products that reached millions of people. But along the way, we started noticing something uncomfortable in ourselves too, more screen time, more noise, more late-night doomscrolling, and somehow feeling worse, not better.

Even the tools that are supposed to help, AI, social apps, productivity tools, were adding to the overload. At some point we asked ourselves a simple question. What if your phone could actually help you feel better in the moment, instead of pulling you further into it?

That question is what led us to build Nomie - an AI wellness companion that turns scrolling into something more supportive, with breathing, journaling, and small “glimmers” that help you feel a little more grounded.

Really appreciate all the support, and would love any feedback. In the age of AI, let’s live aggressively human and be a little kinder to ourselves 💕

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Love the concept, we need an easy replacement for distraction for sure. Most times people are distracted because of unaddressed mental health issues so this tracks!

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@jonwesselink Thanks for the support!

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@jonwesselink Thank you so much For the compliment ( :

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People already try Calm/Headspace for mindfulness and Wysa/Woebot-style chatbots for support—what’s the clearest way Nomie wins when someone is too activated to “think their way out of it,” and where do those apps still beat you?
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@curiouskitty Thanks for the question! The core difference is state-first vs. thought-first.

Most apps like Calm or Headspace assume you are already calm enough to sit through a meditation. Chatbots like Wysa or Woebot assume you can think your way through what you are feeling.

But when someone is highly activated — anxious, spiraling, overwhelmed — you usually can’t do either. In that moment, you are not trying to optimize your mindset, you prob just want to not feel terrible.

Nomie starts from that place. Instead of asking you to think or reflect, it gives you small, immediate ways to shift your state through our Bloomscroll feed: breathing, haptic grounding, doodling, and simple interactive cards that feel closer to scrolling than meditating. It meets you where you are, not where you should be.

And we believe that’s where we differentiate: in the first 30–60 seconds when someone is too dysregulated to engage with traditional mindfulness or CBT-style tools. From there, we expand with Nomie, a wellness companion you can talk to, and more intentional journaling when you are ready for it :)

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#7
Pause.do
Interrupt scrolling, tab overload, and AI autopilot
143
一句话介绍:一款隐私优先的浏览器扩展,通过在用户即将陷入无意识刷屏、标签页过载或盲目求助AI等“自动巡航”状态时,插入一个短暂停顿,帮助用户重获注意力主导权,旨在培养更清醒、更主动的数字习惯。
Chrome Extensions Productivity Artificial Intelligence
数字健康 注意力管理 浏览器扩展 隐私优先 行为干预 防沉迷 生产力工具 人机交互 轻量拦截 习惯养成
用户评论摘要:用户普遍认可其解决“标签页过载”、“无意识滚动”痛点的概念,赞赏其设计及隐私保护(本地运行)。核心疑问集中在:所需浏览器权限的具体范围、AI自动暂停的具体触发机制,以及是否有量化效果数据。另有评论延伸出为父母安装等使用场景。
AI 锐评

Pause.do 的野心不在于“阻断”,而在于“重构反应”。它敏锐地捕捉到了一个深层矛盾:在工具(尤其是AI)日益强大的今天,人的认知能动性反而面临被“外包”和“弱化”的风险。其真正价值,是将行为心理学中的“意图-执行间隙”理论产品化,在习惯性动作(如发送AI指令、打开新标签)之前,人为植入一个“认知缓冲带”。

与粗暴屏蔽网站的戒断式工具不同,Pause.do 的姿态更温和,也更具哲学意味:它假设用户是自主的,只是需要被适时提醒。这种设计避免了权力对抗,将责任交还给用户,但这也是其最大挑战——对于已深度成瘾的用户,一个轻柔的“停顿”是否足以对抗强大的行为惯性与平台算法?

从评论看,其“隐私优先、本地运行”的策略成功缓解了用户对权限的恐惧,这是其关键信任基石。然而,“AI自动暂停”功能虽亮眼,却可能陷入两难:若触发过于灵敏,会干扰正常高效工作流,引发卸载;若过于迟钝,则形同虚设。其效果高度依赖对“低认知投入”行为的精准、优雅定义。

本质上,Pause.do 贩卖的不是时间,而是“觉知”。它能否成功,不取决于它拦截了多少次行为,而在于它是否成功地将用户从“行为主体”转变为“观察者”,从而在数字洪流中重建那一点点宝贵的“自主选择”意识。这是一场针对潜意识的小型启蒙运动,前景广阔,但道路维艰。

查看原始信息
Pause.do
pause.do is a privacy-first browser extension that interrupts the moments when attention slips into autopilot, endless scrolling, tab overload, and even AI prompts. Instead of blocking websites, it creates small, intentional pauses that help you think first and decide what to do next. With pause types like Think First, Scroll Pause, Session Nudge, Focus Limit, and Tab Overload, pause.do helps you stay in control of your attention online.

Amazing concept, love the landing page and clean design. Also noticed you changed "Hey Human" to "Hey Hunter" for referrals from Product Hunt. Lovely attention to detail.

I use a similar tool on my phone called StayFree, so it genuienly has a place in my life. The only issue for me is that the permissions I have to provide the tool are incredibly permissive and I had to just accept that's the cost of using StayFree.

My only and main question is what kind of permissions do I need to provide the app for it to do its full functionality?

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@tryexcept Appreciate this and nice catch on the “Hey Hunter” detail 😄


On permissions: it’s intentionally minimal. pause.do runs locally in the browser and doesn’t require the kind of deep system-level access that most screen-time apps rely on.

It only interacts with what’s necessary to trigger those pause moments, and nothing is sent externally.

I completely get the concern with how much access tools like that can require this was built to avoid that.

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👋 Hey Product Hunt!

The idea for pause.do started from something that made me uncomfortable.

I watched a video

https://www.youtube.com/watch?v=rbS3CLSOeoU&t=1198s

discussing an MIT paper showing that when people rely heavily on LLMs for simple tasks, their cognitive engagement can actually drop over time.

That stuck with me.

I realized how often I was opening ChatGPT or scrolling feeds before even trying to think through a problem myself.

So I built a small weekend project: a screen-time style browser extension with a twist.

Instead of blocking websites, pause.do introduces small pauses when attention tends to drift:

• before AI prompts
• during long scrolling sessions
• when tab overload starts
• when you spend too long in certain apps

The goal isn’t restriction.
It’s simply to reintroduce a moment to think first.

Everything runs locally in the browser, and no browsing data ever leaves your device.

What started as a simple experiment turned into something surprisingly helpful for my own habits online.

Curious what you all think.

Do you ever catch yourself asking AI something before trying to think it through yourself?

Would love your feedback 🙏

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@adenekan_wonderful Have you measured any personal wins yet; like fewer knee-jerk AI queries or better focus sessions, since building and using pause.do?

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As someone who is constantly stuck in analysis paralysis I love this. I have tabs and groups and windows for days hoarding things I may never look at or may scroll endlessly through when I get stuck trying to figure out a path. Love this idea!

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@thatryan 
That’s exactly the pattern.

It feels like progress because you’re gathering options… but it actually makes choosing harder. I’ve noticed the same thing the more tabs I have, the less likely I am to act on any of them.

The goal is just to interrupt that loop before it compounds.

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Tab overload is the one that gets me. I end up with 40 tabs as a proxy for thinking - like keeping something open means I have not forgotten it. What does the AI autopilot interruption actually look like - does it detect when you are on autopilot or do you set it manually?

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@mykola_kondratiuk 

The “tabs as a proxy for thinking” is painfully accurate 😭

It’s like deferring decisions instead of making them.

For AI it’s automatic. It looks for patterns in what you’re typing (low-effort prompts, quick offloads, etc.) and adds a small pause before sending.

Nothing gets blocked it just creates a moment to decide if you actually want to ask that. Curious what it feels like for you if you try it.

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I read an article that more people (Gen Z) are shifting back to the offline space and want to be more present. On the other hand, the older generation started using the internet more. So this way, you can cover 2 target audiences – people who want to break up with their internet addiction and their parents, who are out of control, and their kids can install this on their devices :D

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@busmark_w_nika 

This is such an interesting shift tbh.

It feels like two curves crossing, younger people trying to reclaim focus, while older generations are just fully entering the chaos.

I hadn’t even thought about the “install it for your parents” angle 😄 but you’re right… the problem isn’t age, it’s how easily we all slip into autopilot.

The goal is less “block the internet” and more “create a moment to choose”, and that probably applies to both groups in different ways. I'd love to hear more of your thoughts on this.

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I always end up in 1000 tabs loop, seems like this could help a LOT.

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@camila_rivera1 that loop is too real,

It starts as “I’ll come back to this” and turns into 1000 open decisions, that’s exactly the kind of behavior I was hoping this would help with. Curious to also know what it feels like for you if you try it

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#8
Iris
Send work beautifully, pinned feedback, see what they viewed
131
一句话介绍:Iris是一款面向创意专业人士的客户交付平台,通过沉浸式全屏展示、精准锚点反馈和详细的浏览行为分析,解决了传统文件链接交付方式中反馈模糊、客户参与度不透明、沟通效率低下的核心痛点。
Design Tools Productivity Freelance
创意协作 客户交付 设计反馈 作品展示 行为分析 无登录交付 SaaS 效率工具 创意工作流
用户评论摘要:用户普遍认可精准锚点反馈和浏览追踪功能的价值,认为其能彻底改变与客户的沟通动态。主要问题与建议集中在:支持更多文件类型(如视频、3D原型);明确免费版文件大小限制;优化评论在不同屏幕上的定位准确性;以及询问反馈版本管理功能。
AI 锐评

Iris的锋芒,在于它试图用数据手术刀解剖创意交付过程中最混沌的“黑箱”——客户真实的注意力流向。它提供的不仅是更优雅的展示层,更是一套客户行为的“监控”与“解码”系统。其真正价值并非简单的“美化发送”,而在于将主观、模糊的反馈环节客观化、数据化。

“精准锚点反馈”直击“右上角那个东西有点怪”这类无效沟通的顽疾,将评论空间坐标化,这是对协作颗粒度的精细升级。而更具颠覆性的是其自动化的浏览追踪,它无情地揭示了客户是认真审视还是草草掠过,将以往依赖猜测的“他们看了吗?”变成了确凿的数据事实。这从根本上改变了服务提供者的心理地位和信息不对称局面,让后续沟通从“盲目辩护”转向“基于事实的讨论”。

然而,其犀利之处亦是风险所在。无提示的自动追踪在提升效率的同时,也触及了隐私与监控的灰色地带,可能引发部分客户的抵触。产品目前依赖图像和PDF,距支持全媒介创意工作流尚有距离。此外,其核心价值高度依赖于客户方的积极参与,若客户浏览后仍不置评,工具虽揭示了“未观看”的事实,却未能解决“不反馈”的终极难题。

本质上,Iris不是又一个文件传输工具,而是一个“客户参与度分析平台”。它能否成功,取决于创意工作者是否愿意将客户关系中的部分不确定性,转化为可能带来压力但也更具掌控力的透明数据。它重塑的不是发送方式,而是反馈权力结构。

查看原始信息
Iris
Iris is the client delivery platform for creative professionals. Send your work as a cinematic full-screen experience: slides, document, or gallery. Clients leave pinned feedback directly on the work, exactly where it belongs. You see which slides they spent time on, which ones they skipped, and what they paid attention to. After every session, Iris reads the data and tells you what it means. No client login. No download. One link does everything. Free to start.
Hey Product Hunt I built Iris because I was tired of sending great work through bad links. As a designer, I'd spend weeks on a project, then send a Dropbox link and hope for the best. The client would open it between two notifications and come back with 'the thing on the right feels a bit off.' I had zero idea what they actually looked at. So I built Iris. With Iris you send work as a full-screen cinematic experience. Clients pin feedback directly on the work, exactly where it belongs. You see exactly what they paid attention to, slide by slide. After every session, Iris reads the behavioral data and tells you what it means before your next conversation. Three display modes: Slides, Document, or Gallery. Four scenes. One link. No client login required. It's live today and free to start. You can try the interactive demo on the site before signing up. Would love your honest feedback, especially if you're a designer, photographer, or anyone who delivers creative work to clients. What would make this a tool you'd actually use every day? Axel, founder of Iris
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@axeltdesign hello!

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This is really cool feature, Axel! Impressive presentation layer! What file types does it support — just images, or also video, prototypes, PDFs? And is there a file size limit for the free tier?

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@denious Thank you Denis. Right now it supports images and pdfs. but in the near future it will also be able to render 3d prototypes and videos. Right now we dont have a limit for free users on file size

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What if you adjusted the feedback? Do you create a separate Vision or can you update your existing one?

I'm a designer myself and what clients also value is seeing the progress of their submitted feedback. The before/after effect.

I love the product btw. Gonna give it a try in the upcoming weeks.

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@jens_deryckere1 Hi Jen, thank you for your feedback. When you're ready, you can create a new version of the Vision. This will allow you to keep both the latest version and all previous versions. Your client will also be able to access earlier versions of the vision if they want to compare.

I'm a designer myself, and I built that feature because I know clients often ask for that.

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The view tracking is the part that actually changes the dynamic. I've sent work over Google Drive and the worst part isn't bad feedback, it's wondering if they even opened it. Knowing what someone actually looked at before they respond gives you a completely different starting point for the conversation.

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@juelz Exactly this. The anxiety of not knowing if they even opened it is almost worse than bad feedback. At least bad feedback means they looked.

With Iris you know the moment they open it, how long they spent, and what held their attention. That completely changes how you show up to the conversation.

thank you for your comment Julian

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Pinned feedback is underrated. The usual flow - send work, client watches, you never know what they looked at - is just broken. Knowing they watched 30 seconds and stopped on slide 3 changes how you follow up entirely. Is the view tracking opt-in on the client side or does it happen automatically?

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@mykola_kondratiuk Automatic. The moment they open the link the session starts tracking. No prompt, no opt-in needed from the client.

You get the data. Your client just experiences the work. They never see the analytics layer at all.

Whoever sent the work should know how it landed.

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I checked out Iris and noticed some small glitches where comments might move around on different screens

I'd love to help you fix these so your clients' feedback is always 100% accurate.

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@sergioding thank you Sergio, we already noticed the bugs and we are fixing it now!

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I love the concept of pinned feedback right on the work. How do you ensure feedback is actionable for both sides?

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@trydoff The pin anchors the comment to a precise point on the design, so there's no ambiguity about what the client is referring to. Instead of 'the thing on the right feels off' you get a pin sitting directly on the element they mean.

On the creative side, all pins are visible from the dashboard alongside the AI session insights, so you walk into every conversation already knowing what landed and what needs addressing.

The combination of location plus comment plus behavioral data is what makes it actionable rather than just collected.

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@axeltdesign Getting precise feedback is always hard, especially when clients give very vague comments.

How easy is it for non-tech clients to start using it without needing explanations?

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@amraniyasser No explanation needed. Clients click the link, enter their name, and they're in. To leave a pin they just click anywhere on the work and type. That's the whole interaction.

We designed it so a designer can send the link to any client, regardless of how technical they are, and it just works.

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This looks really clean. I like the idea of seeing what people actually looked at rather than guessing. Do clients find it easy to use without needing any explanation?

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@becky_gaskell Yes, that was a core design constraint from day one. Clients get a link, click it, enter their name, and they're looking at the work full screen. No account, no download, nothing to explain.

Pin feedback works the same way. They click anywhere on the slide and a comment box appears. Most clients figure it out without any prompting.

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Hey Axel, that line about spending weeks on a project and getting back the thing on the right feels a bit off is painfully accurate. Was there a specific client review where you realized they barely looked at the work you actually wanted feedback on?
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@vouchy Painfully real. But honestly, even worse than that is when you don’t get any feedback at all. Just send the work… and nothing comes back.

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#9
DataSieve 2.0
Extract structured data from text, files and archives.
126
一句话介绍:DataSieve 2.0是一款本地化运行的桌面应用,能快速从文本、文件及压缩包中批量提取多种结构化数据,解决了在处理海量非结构化文档时,人工提取效率低下、数据易出错且隐私外泄的痛点。
Productivity Data Data Science
数据提取 本地化处理 文档解析 隐私安全 自动化工具 自定义规则 批量处理 格式转换 生产力工具 信息整理
用户评论摘要:开发者介绍了2.0版本在灵活性、批量处理和自定义提取器方面的进步。用户主要反馈集中在三类问题:对图像PDF(如扫描件)的OCR支持、对模糊字段(如电话与传真)的区分能力,以及确认了自定义提取功能(通过正则表达式)的存在。
AI 锐评

DataSieve 2.0的叙事核心是“本地化”与“灵活性”,这精准切中了当前企业对数据隐私和定制化流程的双重焦虑。宣称“一切在设备上运行”是其最锋利的卖点,尤其在监管严格或处理敏感信息的行业,这构成了对云服务方案的降维打击。自定义正则表达式提取器的加入,将工具从封闭的“提取器超市”转变为开放的“提取器工厂”,赋予了专业用户应对长尾需求的可能,这是其从“好用”迈向“可用”的关键一步。

然而,其光鲜之下暗藏挑战。用户评论已触及天花板:对图像PDF的质疑直指其底层OCR能力的边界;无法区分电话与传真则暴露了其在语义理解与上下文判断上的薄弱——这恰恰是传统规则引擎与当代AI驱动方案的本质差距。它本质上仍是一个高度依赖规则(内置或自定义)的“模式匹配器”,在应对真正杂乱无章、格式诡变的现实世界数据时,其准确率可能急剧衰减。

它的真正价值,或许并非取代那些拥有深度学习模型的云端API,而是在特定场景下成为一个安全、可控、可审计的“前哨站”。它适合作为合规流程中的一环,或是对提取规则有绝对控制权的技术用户的利器。但若想从“效率工具”晋升为“智能解决方案”,它必须在上下文理解与多模态信息提取(如图文结合)上做出艰难突破,否则可能始终徘徊在主流需求与边缘定制之间的利基市场。

查看原始信息
DataSieve 2.0
DataSieve helps you turn unstructured text into clean, usable data in seconds. Drop in text, files, folders, or even archives, and extract what you need in one pass. Emails, phone numbers, URLs, dates, financial data, and more. Everything runs locally on your device, with no cloud and no tracking. What you can do - Extract multiple data types at once - Process text, PDFs, EPUBs, CSV, JSON, Word files, and more - Export results to JSON, XLSX, DOCX, and more - Define your own custom extractors
Hey everyone, I’m the developer behind DataSieve (previously TextMine). This update has been a big step forward compared to the first version. The main focus for 2.x was flexibility and scale. Being able to scan folders and archives, and define custom extractors, makes it much more useful for real workflows instead of just one-off text inputs. I also spent time improving extraction accuracy for more complex data types like financial info and international formats. Happy to answer any questions, and I’d really appreciate any feedback, especially around usability and edge cases.
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@albemala What about PDFs were the data is an image instead of actual text. Example a financial report scanned as an img pdf instead of as a document....
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Nice — structured data extraction is one of those problems that sounds simple until you actually try it. How does it handle ambiguous fields? For example, does it distinguish between a phone number and a fax number in unstructured text? Asking because I work on a similar challenge with voice-to-form mapping.

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@webappski as of now, the app doesn't distinguish between phone numbers and fax numbers. Structured data extraction is not easy indeed!

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Hi Alberto, I like your idea of running everything locally. Is the list of attributes to extract static, or can I define custom ones?
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@alberto_polini You can define custom ones using regexes!

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#10
AlphaClaw Apex
OpenClaw harness and fleet manager for Mac
115
一句话介绍:AlphaClaw Apex是一款面向Mac用户的OpenClaw代理部署与管理平台,通过在自愈、集群控制和无需SSH操作等场景下,解决了分布式AI代理的运维复杂性与协调难题。
Productivity Open Source Artificial Intelligence GitHub
AI代理运维 分布式系统管理 自愈系统 无服务器部署 Mac工具 开发运维 容器化 集群控制 自动化
用户评论摘要:用户关注点集中在系统协调与冲突处理机制,以及部署的灵活性。核心疑问在于多代理任务重叠时的冲突解决方案。同时,用户明确询问了对Docker等容器化技术的支持,开发者确认支持并提供了部署模板。
AI 锐评

AlphaClaw Apex瞄准了一个新兴且棘手的痛点:随着AI代理(Agent)的普及,从运行“单个代理”到管理“代理集群”的运维复杂度呈指数级上升。产品提出的“自愈”、“集群控制”和“零SSH”直击当前开发者手动拼接脚本、监控混乱、故障恢复效率低的现状。

然而,其真正的价值与挑战并存。价值在于,它试图将Kubernetes式的编排和运维理念下沉到单机(Mac)和轻量级分布式环境,让AI代理的规模化部署具备可观测性和弹性。这降低了尝试多代理协作架构的门槛。

但评论区的提问一针见血,揭示了产品可能尚未完全解决的核心矛盾:“协调”与“冲突处理”。部署和监控只是第一步,智能体间的任务冲突、资源竞争、协同策略才是真正的“硬骨头”。产品介绍对此语焉不详,这可能是其当前阶段的最大软肋。此外,115的投票数表明其市场热度仍属早期探索阶段。

因此,AlphaClaw Apex更像是一块重要的“基础设施垫脚石”。它解决了“从1到N”的运维问题,但距离实现智能、无冲突的“代理舰队”还有关键一步之遥。它的成功将不取决于部署的便捷性,而取决于其调度逻辑的智能程度。如果后续能展现出强大的多代理协调与冲突消解能力,它将从工具升格为平台;否则,可能只是一个好用的“进程管理器”的增强版。

查看原始信息
AlphaClaw Apex
Deploy, monitor, and scale your OpenClaw agents with a self-healing harness, fleet controls, and zero-SSH operations.

the specialist setup is interesting

feels like the hard part is not the agents themselves, but how they coordinate once tasks start overlapping

how do you handle conflicts between them?

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Does the application support containerisation (e.g. Docker) or only native system processes?

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@kamil_maksymowicz You can deploy AlphaClaw to any docker container, it's designed for it. There are templates for Railway and Render here: https://github.com/chrysb/alphaclaw

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#11
WeixinClawBot
The official WeChat pipeline for OpenClaw
105
一句话介绍:一款官方插件,将OpenClaw AI智能体平台与微信直接连通,让用户能在微信聊天列表中无缝调用本地或云端AI助手,将微信转化为一个通用的AI交互界面,解决了用户在多个应用间切换、无法在核心社交工具内便捷使用AI的痛点。
Messaging Artificial Intelligence
微信插件 AI智能体 人机交互 平台集成 聊天机器人 工作流自动化 官方管道 生态开放
用户评论摘要:用户普遍认可其战略意义与潜力,认为微信的开放姿态是关键。主要反馈集中在:1. 对平台开放速度的惊讶与对“管道”价值的肯定;2. 关注其安全性、隐私性及在微信环境下的用户体验自然度;3. 询问具体工作流用例和发布计划。
AI 锐评

WeixinClawBot的发布,远不止是一个简单的插件上线,它是一次意味深长的生态策略宣示。其核心价值不在于技术本身(连接管道),而在于“官方”与“微信”这两个关键词的组合。这标志着向来谨慎、封闭的微信超级生态,首次以官方身份为外部AI智能体平台(OpenClaw)开辟了一条 sanctioned(官方认可)的通道。

此举的犀利之处在于,腾讯/微信似乎正在重新定义其竞争壁垒。它不再执着于必须亲自打造并垄断“Claw”(AI智能体)这一能力,而是转向巩固并开放其无可替代的“场”——即十亿用户每日高频交互的聊天输入框。产品逻辑从“我提供一切”转变为“我定义交互的入口与规则”。只要用户停留在此,无论管道内流淌的是OpenClaw、Claude还是其他AI,平台的价值和掌控力依然稳固。

然而,前景并非一片坦途。用户的隐私担忧直指要害:将深度个人化的社交工具与外部AI代理连接,数据边界如何界定?信任如何建立?此外,微信内的交互场景高度碎片化且社交属性强,“与AI对话”的工作流能否自然融入,而非显得突兀或干扰,是产品设计上的巨大挑战。这不仅是技术集成,更是用户习惯与场景认知的攻坚战。

总之,WeixinClawBot是微信迈向“AI超级入口”的关键试探。它展示了平台方在AI时代一种新的可能性:从生态控制者转向基础设施提供者,通过战略性的、有选择的开放来维持其核心地位。但其成功与否,将严格取决于它能否在开放能力与守护用户体验、隐私安全之间找到那个精妙的平衡点。

查看原始信息
WeixinClawBot
WeixinClawBot is an official plugin that connects OpenClaw directly to WeChat/Weixin. It provides a native, sanctioned pipeline to interact with your local or cloud-based AI agents right from your chat list, turning WeChat into a universal AI interface.

Hi everyone!

Didn’t expect Weixin/WeChat to open up to @OpenClaw this fast.

This isn’t a Tencent Claw product, it’s a pipeline. For a famously cautious platform to just become an OpenClaw Chat Provider proves one thing: they know building their own Claw isn't necessarily the only path. Owning the exact place where users type is.

P.S. The pipeline doesn't care what flows through it. If you want to even hook up @Claude Code using this plugin, you absolutely can.

P.P.S. This plugin currently only appears in WeChat 8.0.70 for iOS. Rolling out progressively right now.

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@zaczuoLove the concept this could do really well on Kickstarter. Are you planning a pre-launch email funnel or relying mostly on PH traffic?

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@zaczuo What's one underrated workflow this unlocks for WeChat power users—like automating daily tasks across apps without leaving chat?

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WeChat or Weixin is the IM app that probably has the largest user population in the world. Almost everyone in China has a WeChat account, and with OpenClaw plugin enabled, it opens up infinite possibilities and introduces to everyone, what an agentic world will look like in the near future. It is certainly not perfect, and has a few drawbacks, but overall, it is a great step by WeChat team.

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wechat is such a different environment compared to web apps
feels like user expectations there are very specific

do people actually engage with bots like this naturally, or does it still feel a bit off?

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@artem_kosilov I’m a bit concerned about its security and privacy, after all, WeChat is a very personal social tool.

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#12
Wisewand
SEO / GEO full automated to produce quality autonomously
76
一句话介绍:Wisewand是一款AI内容生成与自动化发布工具,通过深度分析搜索意图和竞争对手,自动生成高排名、高互动性的精准内容,解决了SEO内容生产质量低、效率慢的痛点。
SEO Affiliate marketing
AI内容生成 SEO自动化 搜索引擎优化 内容营销工具 无幻觉AI 竞争对手分析 品牌人设 CMS集成 联盟营销 多语言支持
用户评论摘要:用户普遍赞誉其节省时间、提升排名和内容质量。核心优势包括:基于SERP分析的精准内容生成、强大的WordPress等CMS自动化集成、能模仿品牌语调、以及“外部来源”模式的竞争对手追踪。有效建议/疑问集中于:如何确保多用户使用相似源时内容的独特性。反馈高度积极,强调从“发布更多”转向“发布更智能”。
AI 锐评

Wisewand宣称的“零幻觉”和“40k MRR”数据,直击了当前AI内容市场的最大信任危机——生成内容看似合理却无法排名。其真正的护城河并非文本生成能力,而是将传统SEO专家的核心工作流(SERP分析、竞品监控、搜索意图拆解)进行了产品化封装。它本质上卖的不是“内容”,而是“经过数据验证的排名概率”。

产品介绍的“外部来源”模式颇具侵略性,将内容竞争从静态关键词优化升级为动态的、实时的竞品对标,这迎合了内容红海市场中“后发制人”的灰色需求。然而,这也埋下了潜在风险:当多个客户同时监控同一批竞争对手时,可能引发内容同质化与搜索引擎的惩罚,团队在回复中“源是指南针,非模板”的解释,在规模化下将面临严峻考验。

用户评论中“文章听起来像我”、“读者未察觉AI辅助”等反馈,揭示了其另一层价值:通过“品牌人设”配置,它在一定程度上解决了AI内容的“品牌灵魂缺失”问题,使其从可替代的工具升级为可融入现有工作流的“数字员工”。这使其客群从追求数量的初级用户,上探到了注重品牌一致性的专业内容团队。

总体而言,Wisewand代表了AI内容工具进化的下一个阶段:从“文本补全”到“策略执行”。它的挑战在于,其核心算法高度依赖对搜索引擎排序规则的反向工程,这使其命运与Google算法的变动深度绑定。它是一款强大的“战术”武器,但能否成为长期稳定的“战略”资产,取决于其技术迭代能否跑在搜索引擎规则变化的前面。

查看原始信息
Wisewand
Stop generating generic text. Wisewand ($40k MRR) engineers content that actually answers search intent. Zero hallucinations (trusted by lawyers!). Setup your brand persona once and automate everything. We auto-monitor competitors/YouTube to publish better articles than them. We generate interactive widgets (QCMs), non-AI images, and infographics to boost retention. Seamless CMS sync via Make, n8n, and API. Modes for SEO, E-commerce, Affiliates, and Discover. Rank on Google & LLMs.
Hey Hunters! 👋 I'm Alex, serial builder and Co-founder of Wisewand.ai. Over the past few months, we’ve bootstrapped to $40k MRR and 2300+ users by solving the biggest lie in SEO: "Just publish AI content." The truth? If you don't perfectly answer Search Intent, you will drop. Today, we are launching our ultimate engine designed for scale, retention, and absolute accuracy. Here is what makes Wisewand unmatched today: 🎯 Zero Hallucination & Deep Research: We ban fake news. Doctors and lawyers use our tool because it relies on hard facts. ⏱️ Set It & Forget It: Connect your CMS, train your exact Brand Persona (tone, style), setup your project once, and let it run on autopilot. 🕵️‍♂️ "External Sources" Mode (Game Changer): Give us your competitors' blogs, a YouTube channel, a TikTok, or an Instagram account. Whenever they post, Wisewand automatically analyzes it and publishes a better, more complete article on your site. 🧩 Insane User Retention: We don't just write text. We automatically generate interactive widgets (QCMs, simulators), high-quality non-AI-looking images, infographics, and embed relevant YouTube videos to skyrocket your Time on Page. ⚙️ Unmatched Automation: Push directly to WordPress/Shopify using our API, MCP integration, Make official plugin, or pre-built n8n workflows. 📊 Modes for Every Strategy: Whether you need standard Blogging, E-commerce (category/product pages), Affiliate Marketing (reviews, top ladders, promo codes), or even ranking on Google Discover—we have a dedicated engine for it. Oh, and we have a super reactive dedicated support team that actually listens to you. I’d love your brutal feedback today: 👉 Are you currently using n8n or Make to automate your content? 👉 What is your biggest struggle when trying to keep users on your page? Let's chat in the comments! 👇
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@alex_love_ai very good product in french, now in others languages! Thanks the Wizards!

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@alex_love_ai So happy to see the international launching after only 1 year of existing, the scaling is real !

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Very good content generator! We use it more and more often. You guys released a gem 💎

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@alex_borto Thank you so much for your feedback and support Alex ! 🦉

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Hey ! @alex_borto! 💎😄

So glad it's becoming a go-to for you. That's exactly what we're building toward , a tool you reach for naturally, not one you have to think twice about.

thank you ! 🙌

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I've been using Wisewand daily for several months now across multiple projects: SEO blog, affiliate, and a few niche sites.


I'll be honest, I was skeptical about AI content tools for a long time because most of them produce plausible text that simply doesn't rank.


What changes everything with Wisewand is that the SERP analysis happens before generation.


The tool crawls the pages already ranking for your query, identifies what's working semantically, and structures the content accordingly.


You don't get a generic article, you get an article modeled on the signals Google already rewards for that specific query ✅

In practice, something that used to take me 2 hours drops to 30-40 minutes including proofreading.


On a volume of 20 articles per month, that's several days of work recovered every single month 🔥


The affiliate mode is honestly the most refined I've seen comparison pages, product reviews and promo code pages are generated with a real conversion logic that's actually calibrated.

And the Brand Persona does the rest: once configured, every article keeps the same editorial tone regardless of volume.

One thing that also convinced me over the long run: credits never expire.

When your publishing pace is irregular, that's a detail that genuinely matters 👌

Congrats to the whole team! 🚀

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🦉 Heey !@nulled1337 Thank you — seriously.
This is one of the most thoughtful reviews we've received. 🙏

Every point you raised hits on something we debated and obsessed over internally: the SERP-first generation, the affiliate conversion logic, the Brand Persona consistency, the credit policy. Knowing these details are actually making a difference in your daily workflow is the best validation we could ask for.

Congrats to you too — for giving it a real shot despite the skepticism. That trust means everything. 🚀

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Congrats on the international launch! 🎉 (I’ve been using it in French for a few months already 😉)

Love the direction here — especially the shift from “publish more” to “publish smarter.”

The external sources + auto-optimization loop feels like a real evolution of SEO workflows.

One thing I’m wondering though:

how do you keep the content truly different when multiple users might rely on similar sources?

If this is handled well, this could be a serious weapon for ranking-focused content 💪.

Definitely a big time-saver, especially for solopreneurs!

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@solo_finds Great question, and a very legitimate one

The short answer: the SERP analysis is just the starting point — it tells us what signals Google rewards for a given query, but what gets generated is shaped by your Brand Persona, your angle, your internal links, and your specific instructions. Two users targeting the same keyword will get two structurally informed but editorially distinct articles.

The sources are a compass, not a template. 🧭

Really glad it's saving you time as a solopreneur 💪

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Hi

I’ve been using Wisewand for several months now, and honestly, I can’t imagine working without it anymore.

What really makes a difference for me is the seamless integration with WordPress. I connect it directly to my site, which allows me to fully automate the creation and publishing of my affiliate blog articles. This has saved me an incredible amount of time and has significantly improved my productivity.

The content generated is clean, well-structured, and requires very little editing before going live. For anyone running an affiliate website or content-driven business, this kind of automation is a game changer.

Overall, Wisewand has become an essential part of my workflow, and I highly recommend it to anyone looking to scale their content production efficiently.

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@cedric_31 Cedric, thank you! 🙌

Connect → Generate → Publish. No friction, no rewrites, no wasted time. That's the workflow we obsessed over — and hearing it's delivering for your affiliate sites is the best validation we could ask for.

Scaling content efficiently is the whole mission. Really glad we're delivering on that promise! 🚀🔥

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Wisewand is a real time-saver for SEO content. I’ve used it mainly for articles on a local media site, and it saves me from spending hours checking search intent, analyzing SERPs, and studying competitors before writing. It makes the whole content creation process much faster while still producing content built to rank well on Google.

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@sarah_fr0m_parisSarah, thank you! 🔥

 Local media is a tough arena — really glad it's holding up there. Keep ranking! 🦉

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I've been using WiseWand for several months and I'm very happy with it. The tool allows you to produce structured and relevant content, with a solid SEO strategy behind it.

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@arnaud_decroix1 Thank you! 🦉

Structured, relevant, with a solid SEO strategy behind it — that's exactly how we'd describe what we're building. Really glad it's coming through after several months of use! 🚀🔥

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A nice tool for SEOs

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@david_lopes3 That's what we love to hear! 🦉

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Absolument bluffant.
Génération automatisée hyper fonctionnelle + réactivité au top de l'équipe qui répond à tous les mails en quelques heures.
C'est le combo gagnant !

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@de_thiers_pierre Bluffant — on va retenir ce mot ! 🦉

Merci pour ce retour sur le support aussi — être réactif et disponible, c'est aussi important pour nous que la qualité de l'outil. Génération automatisée + équipe à l'écoute, c'est le combo qu'on s'efforce de tenir chaque jour. 🚀🔥

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Congrats on the launch!

Real user here: been running Wisewand for many months and it's become a core part of my content workflow. The search intent engine is legit, and the n8n/Make integrations make automation super smooth.

The External Sources mode is probably my favorite feature, having it auto-analyze competitor content and publish improved versions is a huge time saver. Plus the recently added multilingual support opens up a lot for multi-market SEO.

Well deserved 🔥

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@roger_z Thank you! 🦉

A power user who's gone deep on External Sources, n8n/Make integrations AND multilingual — that's exactly the setup we love to see.

The External Sources mode is a personal favourite too — auto-analyzing competitors and shipping improved versions at scale is where the real edge is.

Really glad it's become a core part of your workflow. More coming on all those fronts! 🚀🔥

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An excellent tool, really. I publish five articles a day using Wisewand and they appear in Google’s search results in under a week. For me, it’s one of the best AI writing tools for affiliate marketing and producing all kinds of content, and at a very competitive price too!

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@mikonline Thank you for sharing such concrete numbers. 🦉

Volume + speed + rankings — that's exactly the combo we build for. Really glad it's delivering at that scale! 🚀🔥

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I've been using Wisewand for a few months now to keep my mountain & hiking blog running, and I'm genuinely impressed. I was a bit skeptical at first — I've tried a bunch of AI writing tools and most of them spit out the same bland, robotic content. Wisewand is a totally different story.

The articles it helps me produce actually sound like me. The tone feels natural, the content is relevant, and my readers have no idea I've had a little AI help along the way. That's exactly what I was looking for.

The SEO side of things is also really well thought out. The semantic structure is solid, the vocabulary is on point, and I can feel the difference in how my posts perform. For a one-man-band blogger juggling everything at once, that's huge.

The biggest win for me? I can finally keep a consistent publishing schedule without burning out. I stay in control of my editorial voice and ideas — Wisewand just helps me bring them to life faster.

If you're a blogger looking to level up your content game without spending hours staring at a blank page, just try it. You won't go back. 🙌

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@l_eveil_sensuel Thank you so much for this — what a review! 🦉

"The articles actually sound like me" that's the hardest thing to get right, and honestly the one we're most proud of. A hiking blog has a very specific voice and community, and the fact that your readers can't tell makes everything worth it.

Consistent publishing without burnout, editorial control intact that's exactly the balance we obsess over.

Really glad Wisewand is helping you bring your ideas to life faster.

Keep exploring — and keep writing! 🕊️🚀🔥

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I am a regular user of Wisewand since 6 months about , this tool was good then with time and updates became wow !! I think you say a banger in English ? Right ? Excuse my French accent ^^

But no jokes, Wisewand is amazing tool for SEO high quality texts

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@benoit_hardouin Yes, we definitely say banger and Wisewand is one! 🦉😄

From good to wow in 6 months — that's exactly the trajectory we're on. Really glad you noticed every update along the way. More bangers coming! 🚀🔥

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J'ai découvert WiseWand il y a quelques mois et franchement c'est devenu un outil indispensable dans mon workflow SEO. Le pipeline de rédaction est solide et ça m'évite des heures de travail manuel. Bravo pour le lancement PH, bien mérité !

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@yasspadaro Merci beaucoup ! 🦉

"Indispensable dans mon workflow SEO" — c'est exactement là qu'on veut être. Vraiment content que le pipeline de rédaction tourne bien et te fasse gagner autant de temps !

Merci pour le soutien sur PH, ça compte beaucoup. 🚀🔥

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J’utilise WiseWand depuis deux mois, et c’est un véritable gain de temps. Plus besoin de passer des heures à rédiger un article : tout est beaucoup plus rapide et efficace. Je recommande vivement. Merci !

I’ve been using WiseWand for two months now, and it’s been a huge time-saver. No more spending hours writing articles—everything is much faster and more efficient. I highly recommend it. Thank you!

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@julien_drofe Thank you! 🦉

No more hours spent writing that's exactly the time we wanted to give back.

Really glad it's already making such a difference after just two months! 🚀🔥

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Wisewand AI is by far the best SEO content generation tool. I’ve been using it for several months, and I honestly couldn’t do without it anymore. It matches search intent perfectly, the persona feature gives exactly the right tone, the ability to connect external sources, and the autopilot publishing are truly incredible. Above all, the tool keeps evolving toward even better performance and greater ease of use. I ❤️ Wisewand!

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@flore_llorens We ❤️ this comment — thank you! 🦉

Search intent ✓ Persona tone ✓ External sources ✓ Autopilot publishing ✓

You've covered every pillar we've built Wisewand around.

"Couldn't do without it anymore" is exactly where we want every user to land.

And yes the best version of Wisewand is still ahead. Stay tuned! 🚀🔥

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Wisewand m'aide sur la création de contenu de qualité et en plusieurs langues.
Merci l'équipe

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@alsaga Merci à vous Alvaro ! 🦉

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I use Wisewand to write my articles: it’s very simple and quick to use, and the results are there. I highly recommend using it!

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@sebastien_druesne Thank you for the recommendation! 🦉

Simple to use, fast to run, and results that speak for themselves — that's exactly the experience we want every user to have. Really glad it's working for you! 🚀🔥

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I’ve been using Wisewand since August 2025 as a freelance SEO consultant, and after testing at least five other tools on the market, it clearly stands out as the most effective one I’ve found so far. I use it on a weekly basis to create SEO articles, both for my own lead generation and for my clients’ websites. What really impressed me is the overall quality of the content, even in very specific or technical niches. The structure is solid, the writing feels natural, and it aligns well with SEO best practices. One feature I particularly like is the ability to integrate more advanced and interactive content. Combined with options like personas, it gives much more depth and flexibility compared to standard AI writing tools. Of course, it’s not perfect. Like any AI tool, some editing is still required, especially for highly specialized topics. I’ve occasionally noticed minor inaccuracies or sections that need refinement. That said, the content generally indexes well on Google, which is ultimately what matters most to me and my clients. In terms of pricing, Wisewand is slightly more expensive than some competitors. However, the difference in quality and features more than justifies the cost in my experience. I’ve already recommended it to many clients and contacts, and I even earn a bit through their affiliate program, which I find fair and well-structured. Overall, I highly recommend Wisewand to freelancers, agencies, and anyone serious about producing high-quality SEO content efficiently.

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@valoch Thank you so much for this incredibly honest and detailed review! 🦉

Coming from a freelance SEO consultant who's tested at least five tools and uses it weekly for both lead gen and client work that's the kind of real-world validation that means everything to us.

Really appreciate the transparency too acknowledging that some editing is still needed and that pricing sits higher is exactly the honest feedback that helps us keep improving.

We'd rather earn trust than just collect praise.

And thank you for recommending it to your clients and network the affiliate program is our way of saying thank you to people who genuinely believe in the product.

More improvements on the way. Keep ranking! 🚀🔥

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I've been using Wisewand for a while now and it has made my life much easier! All my websites are connected, personas are set up. I just let the tool write very qualitative articles for me - that actually rank! Great work.

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@antoine_bidaut Thank you Antoine! 🦉

Sites connected, personas set up, articles ranking — that's the full autopilot setup we dream of for every user. Really glad it's making your life easier! 🚀🔥

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I’ve been using Wisewand in France for several months now and I’m very happy with it. They’ve recently added the option to write in other languages, so I’m going to expand into other markets and languages for my publishing websites. I highly recommend it!

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@digital_pro_business_dpb57 Thank you so much! 🦉

Can't wait to see where you take your publishing sites. More languages, more rankings ahead! 🚀🔥

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I’ve been using Wisewand for a few weeks now, mainly to write blog articles for link-selling purposes, but also for affiliate marketing, and honestly I’m really satisfied. What I find especially useful is the ability to create custom personas based on each website’s editorial line. Then I just provide a keyword, and the tool generates an article that matches the tone and expectations of the site, which makes the whole process much easier. It saves a huge amount of time while keeping strong editorial consistency.

What I particularly like is the quality of the generated content. The writing feels smooth and natural, and it doesn’t have that “automated” feel you sometimes get with other tools. To sum up the main strengths for me:

  • a real time-saver for content writing

  • natural, easy-to-read texts

  • solid SEO optimization right from the start

  • the ability to create custom personas for each project

  • article generation from a simple keyword

  • effective content production for affiliate marketing

  • multi-language support, which is very useful for scaling projects

Overall, Wisewand has clearly become part of my workflow. It allows me to move much faster without sacrificing quality, whether it’s for link building or affiliate projects. Of course, I still review everything before publishing, but the initial output is already very solid. It’s the kind of tool you quickly get used to—and wouldn’t want to replace afterward.

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@chn16000 Thank you so much for this detailed review! 🦉

A few weeks in and already part of your workflow — that's exactly the kind of adoption we build for. The custom personas use case for link selling is spot on: one keyword, the right tone, the right editorial line, done.

"Doesn't have that automated feel" — that's one of the hardest things to get right, and hearing it from someone using it across multiple projects means a lot.

Really glad it's delivering on both link building and affiliate. More good things coming! 🚀🔥

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I’ll be honest, I was pretty skeptical at first. Tools promising “automated SEO content” usually end up producing generic stuff that doesn’t rank.

Wisewand surprised me.

It’s not perfect, and you still need to think, structure things properly, and make adjustments. But compared to most tools I’ve tested, it actually helps build something coherent rather than just spitting out content.

What really changed my mind is seeing real movement on Google: improved rankings, and even top spots on a few keywords — and I’m still early in the process.

So no, it’s not magic. But if you use it properly, it’s a serious tool.

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I published 200 articles with Wisewand and they ranked on Google within a week!

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Met the team in Lyon one year ago, solid builders this product is not a joke

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It's a revolution

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@raymond_delobel It's Wisewand 🦉

Thank's Raymond 🔥

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Congrats, that's impressive! As someone managing SEO for a product launch right now, the idea of Wisewand watching what competitors publish and auto-creating something better is very tempting. The interactive widgets for retention are smart too, most AI content tools just spit out text and call it a day. How does the "zero hallucination" claim actually work in practice? Is it fact-checking against specific sources or does it have a different approach to verification?

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I have written 20 articles with it. It’unbelivible! Very good results👍

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I’ve been using Wisewand for several weeks now.

The content is of a very high standard! For the past few weeks, we’ve even been able to write in other languages. The articles are optimised and the content is high-quality (tailored to what Google and the SERP expect based on the keyword and topic).

Well done!

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@julien_belina Thank you! 🦉

High-quality content aligned with what Google expects + multilingual support already in use — that's exactly the combo we've been building toward. Really glad it's delivering from the first few weeks! 🚀🔥

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I’ve been using Wisewand for several months now for SEO content creation, and it has quickly become an essential tool in my daily work. It saves me valuable time at every stage from keyword research to optimized writing and article structuring.

What I particularly appreciate is how Wisewand also makes internal linking so much easier. The tool suggests relevant and coherent links between articles, which strengthens my site’s SEO structure and enhances the reader experience.

In short, it’s a real asset for creating high-quality, well-optimized content that’s perfectly interconnected across the website.

I highly recommend it to anyone looking to boost their efficiency and overall content performance.

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@sebastien_neumann Thank you so much! 🦉

Keyword research, optimized writing, structuring, AND internal linking — you've covered the full content workflow. Really glad Wisewand is holding up at every stage.

The internal linking feature is one of those quiet game-changers that most people only notice once they see the SEO impact. Really glad it's making a difference for your site structure! 🚀🔥

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#13
Pewbeam
AI church presentation app that follow your sermon live
63
一句话介绍:一款在教堂礼拜场景中,通过实时聆听布道并自动在屏幕上显示对应圣经经文的AI演示应用,解决了投影同工手动查找、切换幻灯片导致的流程中断与延迟痛点。
Productivity Artificial Intelligence Spirituality
教堂科技 AI实时识别 宗教软件 离线应用 演示工具 尼日利亚创业 利基市场 布道辅助 自动字幕 软硬件集成
用户评论摘要:用户反馈高度认可其解决教堂投影慌乱的核心痛点,认为产品构思巧妙、实用。开发者透露早期数据(48小时2000下载、20付费用户)并征集反馈。评论也涉及品牌设计理念与开发历程,整体以祝贺与肯定为主,无明显负面建议。
AI 锐评

Pewbeam 精准切入了一个被主流科技忽视的垂直场景——宗教礼拜的现场演示。其真正价值并非炫技般的AI,而在于将AI技术深度“隐形化”,转化为一种极度可靠的基础设施。产品定义的“离线优先”、“80毫秒延迟”、“尼日利亚构建”三大特质,直指该场景最苛刻的刚需:稳定性、即时性与普适性。它本质上不是内容生产工具,而是“流程自动化”工具,旨在消除现场技术操作与精神内容传达之间的摩擦,让技术后勤人员“有时间放松”。

然而,其挑战与价值一体两面。首先,极度垂直的赛道固然竞争少,但天花板也清晰可见,增长严重依赖教堂间的口碑及宗教机构的预算周期。其次,产品的核心壁垒在于语义识别的准确率与对布道者“意译”的理解,这需要持续积累高度领域特定的语料库,其技术护城河可能比想象中更窄。最后,从“显示经文”到“自动生成幻灯片”的演进,是价值延伸的关键一步,但也将使其从“辅助工具”迈向“内容协作工具”,面临与牧师创作意图如何共存的更复杂命题。

总体而言,Pewbeam 是“场景驱动创新”的典范。它证明,在AI泛化的时代,最大的机会可能不在于做出更强的通用模型,而在于用足够深度的行业洞察,将现有技术封装成解决一个微小但真实痛点的“可靠零件”。它的成功与否,将检验在一个高度依赖传统与人际信任的体系内,科技产品能否以谦逊、可靠的姿态完成无缝嵌入。

查看原始信息
Pewbeam
Pewbeam listens to sermons in real time and automatically displays Bible verses on screen, even when the pastor paraphrases. No manual searching. No slide switching. Detection in under 80 ms. Built offline-first in Nigeria, so it works anywhere. Includes animated presentations, NDI/HDMI output, AI sermon notes, theme, designer, and live transcripts. A free tier is available. The Church deserves AI that serves the Word.
Hey Product Hunt! I'm Dara, the maker of Pewbeam. This started with a tweet in August 2025: “I want to build a Bible presentation AI agent for church use.” I'm a product designer, not an engineer, but I couldn’t let the idea go. Every Sunday, the same scene: the pastor references a verse, the projection volunteer scrambles, and the moment passes. Pewbeam listens to sermons in real time and instantly displays the correct Bible verse on screen, even when the pastor paraphrases. Detection is under 80 milliseconds. I built it in Nigeria first. Unreliable internet, power cuts, varied hardware. If it works here, it works anywhere. The core runs completely offline. Our first live church test was in October 2025. It just worked. A church member said, “Pewbeam changed the way I follow sermons completely.” Since launching publicly, we’ve had over 2,000 downloads and 20 paying subscribers in the first 48 hours, entirely through word of mouth from church to church. The app includes AI verse detection, animated presentations, NDI + HDMI broadcast output, AI sermon notes, and live transcripts. A free tier is available for small churches. Scriptures are live now, with slides coming next month. I’d love your feedback. Drop your questions below!
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@darasoba Congrats on the launch. I hope you and Pewbeam get the support you so much deserve.

"To the ends of the Earth!"

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@darasoba big congratulations on the launch 👏

Such an incredible product.

Congratulations to your team too.

It's only up from here

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A big congratulations

This is amazing@darasoba 

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I led the brand design and collaborated on Pewbeam's website.

Design brief? Make a faith tool feel like top-tier software. Warm enough for Sunday morning. Sharp enough for a tech launch. That tension is where the best work happens.

The brand had to connect with three audiences simultaneously: the pastor who needs to stay in flow, the projection volunteer who is usually one step behind, and the church media team managing a live broadcast. One visual language. Three different pain points.

The website had one task: when you land on it, you immediately understand what Pewbeam does and why your church needs it within five seconds. No jargon. No friction. Just clarity.

Watching it evolve from a brand concept to something churches actively use every Sunday, that's the feeling you aim to create.

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I've followed Pewbeam's story from the day Dara first posted about it on Twitter. I watched it go from idea to fully built product. Dara is an inspiring product builder, and Pewbeam has turned out to be such a fantastic product! It solves a real problem for churches in a way that feels incredibly useful and well thought out. Big congrats to the @darasoba and team!

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@charles_dairo thank you very much.

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@darasoba  @charles_dairo nice one Charles

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It's honestly a brilliant bit of niche AI. You know that frantic energy in a church projection booth when the pastor starts quoting a verse and the projection team is scrambling to type it in EasyWorship? PewBeam basically kills that stress.

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@josephanya You are absolutely right, Joseph.

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Building Pewbeam has been an iterative process, testing, shipping, and listening to feedback from projectionists and church members across different congregations. The core challenge was always speed and reliability: it had to work instantly, even with no internet, on whatever hardware the church already had.

The product has been built to addressed a common frustration shared by both church members and projectionists. We'd love for you to try it and tell us what you think.

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I Just know this product is really gonna change the church presentation, itll give media guys like us some time to chill out 😂

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@miracle_michael yes, we will make this all suite.

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Amazing product. I have been following from the first day, and it's been an amazing journey.

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@aviatorscode2 Thank you, Victor

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Amazing product 🔥

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As someone who’s spent years working deeply with different tools in this space, contributing to this product felt very natural. I was able to bring in a lot of practical insights from past experiences, especially around what works, what breaks, and what users actually need in real workflows.

What made this journey particularly rewarding was the opportunity to translate those insights into thoughtful flows and intuitive screens. Every decision was grounded in making the experience simpler, faster, and more meaningful for users.

It’s been an incredibly fulfilling process collaborating with the team, refining ideas, and seeing everything come together into something we’re genuinely proud of. Excited to see how people use it and the impact it will have.

We’re just getting started, plenty of amazing updates on the way.

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I followed the development of this product over the past few months on X

The team has been doing an amazing Job

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@that_ogochukwu thank you, Obiajulu.

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Congrats on your launch @darasoba ! This product is a game changer for projection units across every church I can think of.

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@bethel_melariri thank you, Bethel. Glad you love it.

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This is great. Rooting for Pewbeam!

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@mykeels thank you, Michael.

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Finally, no more "please can you project Mathew bla bla"😭

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#14
LightKeeper
See how fast your site loads for customers in 65+ regions
53
一句话介绍:LightKeeper通过从全球65个以上地区运行真实的Lighthouse审计,帮助网站运营者、SEO专家和电商商家精准定位并解决因地域差异导致的页面加载性能问题,消除跨区域性能监控的不确定性。
User Experience Software Engineering Developer Tools
网站性能监控 全球测速 Lighthouse审计 Core Web Vitals SEO工具 地域性能分析 性能优化建议 AI诊断 电商分析 无代码工具
用户评论摘要:用户反馈积极,认可其能快速定位性能瓶颈的实用性。主要问题集中在区域数据粒度(如特定CDN节点性能)和实际案例上。开发者回应将发布深度案例研究。评论也肯定了其对大型电商网站的价值。
AI 锐评

LightKeeper切入了一个被广泛忽视但至关重要的痛点:性能感知的地域性偏差。其核心价值并非简单的多节点测速,而在于通过部署在主流云服务商(AWS、GCP)的真实基础设施进行审计,剥离了VPN/代理的干扰,获取“客户侧”的真实性能数据。这直接将以往模糊的用户抱怨(“网站很慢”)转化为可量化、可归因、可复现的技术指标。

产品巧妙地将专业工具(Lighthouse)平民化。AI生成“行动方案”是关键一步,旨在跨越性能数据与具体优化动作之间的知识鸿沟,服务于“无技术专长”的用户。然而,这也是其最大风险点:AI建议的准确性与深度将直接决定工具价值是“锦上添花”还是“雪中送炭”。若建议流于表面(如常规的图片压缩、缓存提示),则难以留住专业用户;若过于技术化,又可能吓退目标客户中的非技术人员。

其商业模式清晰,瞄准对加载速度极度敏感的电商和SEO领域,直接关联排名与转化率。但挑战在于,它本质上是一个功能增强型工具,而非不可替代的基础设施。其测速功能易被模仿,真正的壁垒在于AI诊断引擎的精准度、与工作流(如CI/CD)的集成深度以及积累的跨地域性能数据库。若不能持续构建这些壁垒,它可能很快陷入同质化竞争。

总体而言,LightKeeper精准地填补了市场空白,提供了一个优雅的解决方案。但其长期成功不取决于“测得到”,而取决于“解得准”和“修得好”,即能否真正成为驱动性能优化闭环的核心枢纽。

查看原始信息
LightKeeper
Your site feels fast to you — but how does it load in Brazil, Germany, or Canada? LightKeeper runs Lighthouse audits from 65+ global locations so you see real performance for every market. AI interprets results and gives a clear action plan — no technical expertise needed. Monitor Core Web Vitals across the pages that matter most, test authenticated pages, and catch regressions before they hurt your rankings or conversions. Full HAR report included for deeper analysis

Hey Product Hunt! 👋 Denis here, maker of LightKeeper.

The idea started from a very specific frustration.

I'm based in Europe, but the SaaS I was working on had its entire customer base in the US. When users started complaining about slow load times — I had no real way to reproduce it.

A VPN? It adds its own latency. A proxy? Same problem — you're measuring the proxy, not the experience. I could never tell: is this a real performance issue for my US users, or just my European connection?

That uncertainty is the worst part. A customer complains, you can't reproduce it, you can't prioritize it, and you can't prove you fixed it.

So I built LightKeeper.

Real Lighthouse audits from real AWS & GCP infrastructure across 65+ regions. No VPN noise, no proxy overhead — just the raw performance your customers see from their location.

LightKeeper is for you if:

  • You're an SEO specialist and need to monitor Core Web Vitals across markets without manual checks

  • You run an e-commerce store and want to know why visitors from specific regions bounce before checkout

  • You want a clear action plan, not just a score — our AI interprets every result and tells you exactly what to fix

I'd love to hear from you — what's the region you're most worried about for your site?

Drop it in the comments 👇

And if this solves a real problem for you — an upvote means the world to an indie maker 🙏

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@denis_filchakov look's interesting..

Gold luck for the launch 👏👏

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First of all, congratulations on the launch! This looks like a really useful tool. I gave it a quick try on one of my projects and it immediately highlighted a few areas for improvement, which was super helpful. I like how it narrows things down so you know exactly what to focus on. I’ll definitely be using LightKeeper to keep an eye on my projects going forward

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@matheusdsantosr_dev thank you, Matheus!
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Have you seen cases where a site loads fast from most regions but has a specific CDN edge that tanks performance? How granular does the region breakdown get? Great tool!

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@borrellr_ I'm currently working on a deep-dive article reviewing major websites and their regional performance issues. Stay tuned and follow me - the case studies will be live this April

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Congrats, Denis, on your launch. Cool idea! It looks very useful for big companies, especially e-commerce websites that fight for every extra 100ms of load time. Your tool will make their lives easier.

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@ioz Thank you, Igor!

1
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#15
OceanMind
AI that learns exactly how to calm you down
33
一句话介绍:OceanMind是一款通过AI实时读取用户身心状态,并生成个性化呼吸训练、身体释放等练习的APP,旨在用户焦虑、思绪纷乱或能量低迷时,提供即时、精准的情绪安抚方案,解决传统健康应用千篇一律、无法应对动态情绪需求的痛点。
Health & Fitness Meditation Artificial Intelligence
心理健康 AI个性化 情绪调节 呼吸训练 正念 健康科技 自适应 焦虑缓解 身心健康 数字疗法
用户评论摘要:用户反馈传统应用重复无效,OceanMind能“在当下状态”提供帮助。开发者积极互动,详述其融合多文化传统实践,并回应了纳入泰国呼吸法等具体建议,展现了产品包容性和迭代意愿。
AI 锐评

OceanMind的叙事精准击中了当前数字健康领域的核心软肋:形式主义的同质化。其宣称的“AI实时读取状态并个性化生成练习”,本质上是将健康干预从“预录制内容推送”模式,试图升级为“动态响应式服务”。这背后的真正价值,并非高深莫测的AI技术,而是对“神经系统的状态是动态的”这一基本事实的尊重,以及由此构建的产品哲学——干预应始于用户的真实起点,而非理想化的预设路径。

然而,其面临的挑战同样尖锐。首先,“读取状态”的准确性与侵入性边界如何界定?通过摄像头分析微表情?语音分析语调?还是简单的用户自评?不同的路径对应着不同的效果与隐私风险。其次,个性化生成的“黑箱”可能带来新的焦虑。当用户感到练习“无效”时,是归因于自身,还是算法的不理解?这要求产品具备极高的解释性与用户教育能力。最后,从“有趣的概念”到“有效的临床工具”,中间需要坚实的科学验证。其融合的冷暴露、身体释放等方法,虽有其流行度,但组合使用的协同效应与长期影响,仍需严谨数据支撑。

总体而言,OceanMind代表了一个正确的进化方向:从提供标准化工具,到尝试成为智能化的陪伴者。它的成功与否,将不取决于AI概念的炫酷,而取决于其算法对复杂人性细腻变化的体察精度,以及能否在科技与人文、标准化与个性化之间,找到那个微妙而有效的平衡点。在心理健康这个领域,任何技术都只是桥梁,真正的疗愈始终发生在用户自身。OceanMind的价值,在于它是否能让这座桥梁更顺畅、更私人。

查看原始信息
OceanMind
Anxiety doesn’t follow a schedule. Most wellness apps give you the same routine regardless of how you actually feel. OceanMind is different — it reads your state and builds a personalized session from breathwork, somatic release, cold exposure protocols, and guided practices. The AI adapts every time. Open the app feeling overwhelmed, and it meets you there. What practice has helped you most when anxiety peaks? We’d love to know.

Hey Product Hunt 👋

We built OceanMind because we couldn't switch off.

You know that feeling. End of the day.

Everything is technically fine.

But your mind just won't stop.

We tried every breathing app out there —

they all gave us the same routine regardless of

how we actually felt. Anxious. Wired. Exhausted.

Didn't matter. Same session. Every time.

That felt wrong to us.

Your nervous system isn't the same every day.

Your practice shouldn't be either.

So we built an AI that reads your state before

every session — how activated you are, what you're

feeling — and creates breathwork around exactly

where you are right now.

Anxious → calming breath, built for this moment.

Mind racing → we slow it down together.

Low energy → we build it back up.

No two sessions are the same.

Because no two moments are the same.

🌊 What's live today:

→ AI state check-in before every session

→ Personalized breathwork generated in real time

→ Practices for anxiety, racing thoughts, low energy

→ Structured programs if you want to go deeper

Early users keep telling us the same thing —

it's the first app that actually meets them

where they are, not where they're supposed to be.

That's everything we were trying to build.

We're here all day — ask us anything. 👇

What do you do when your mind just won't quiet down?

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Wow, I think I've found what I was looking for! Honestly, all these repetitive apps don't help me relax at all, and I end up tossing and turning in bed for hours trying to calm my mind. Do you plan to incorporate breathing practices from different cultures? It would be interesting to try Thai ones.

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@allurepixel Thank you so much — this really means a lot to us on launch day 🙏

You’ve touched on something we think about a lot. The app already includes practices from multiple traditions — Pranayama from the yoga lineage, ancient alternate nostril breathing, somatic release techniques. The foundation is deliberately cross-cultural because different traditions solved different problems, and the nervous system responds to all of them.

Thai practices — particularly those rooted in Theravada Buddhist breathing and Thai yoga (Reusi Dat Ton) — are genuinely fascinating and very much on our radar. The slow diaphragmatic patterns and the way breath is used as an anchor in Thai forest tradition meditation have a distinct quality that we’d love to bring in.

For your specific situation — tossing and turning, mind that won’t stop — the practice that tends to work best in OceanMind right now is extended exhale breathwork before sleep.

I would like to learn more about Thai practices!

Would love to hear how it works for you. And Thai breathing traditions — noted. 🌊​​​​​​​​​​​​​​​​

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#16
CompetitorWrapped
Your competitors' entire year, with one click
24
一句话介绍:一款通过AI深度聚合网络公开信息,将竞争对手的关键动态(如招聘、融资、产品发布)整合成实时情报流的工具,解决了市场及竞品分析人员需在多平台间手动切换、信息碎片化的效率痛点。
Sales Artificial Intelligence
竞品分析 SaaS 市场情报 商业智能 AI聚合 实时监控 竞争情报 营销工具 数据可视化 效率工具
用户评论摘要:用户主要关注数据新鲜度(如融资信息更新速度)、功能拓展(如分析员工背景、追踪功能下线或降价)以及产品形态(是持续监控告警还是单次快照)。开发者回应了产品初衷并开放收集反馈。
AI 锐评

CompetitorWrapped 精准切入了一个广泛存在的专业需求痛点——信息过载与碎片化。其核心价值并非创造了新数据,而是扮演了“情报编织者”的角色,利用AI替代人工,在嘈杂的互联网噪音中提取、归类并呈现高信噪比的竞争信号。产品将“Spotify Wrapped”的年度总结形式转化为商业监控场景,概念包装巧妙,降低了理解成本。

然而,其面临的挑战同样清晰。首先,**数据源的权威性、实时性与合规性**是生命线。评论中关于“数据新鲜度”的提问直指核心:若无法近乎实时地抓取融资、招聘等关键信息,产品价值将大打折扣。其次,**情报的深度与“静默信号”的捕捉能力**是差异化关键。现有功能多聚焦于显性事件(招聘、融资、发布),但如用户所言,竞争对手“悄然下线功能”或“调整定价”这类隐性、反向操作,往往蕴含更深刻的战略意图,对技术挖掘能力要求更高。最后,从“一次性报告”转向“持续性监控与智能告警”平台,是满足用户刚需的必然演进路径。

本质上,这款产品是在测试市场为“信息整合自动化”的付费意愿。它能否成功,不在于功能列表有多长,而在于其AI代理的“研究”深度与准确性,是否能真正让用户摆脱对原始信息源的交叉验证,建立起足够的信任。否则,它可能只是另一个需要被监控的“信息标签”而已。

查看原始信息
CompetitorWrapped
Stop switching between LinkedIn, Crunchbase, and Google Alerts. Competitor Wrapped turns any domain into a live intelligence feed - new hires, funding rounds, product launches, and growth trends, all in one place.

Happy launch day!
How fresh is the data? Like if a competitor announces a funding round today, how quickly does it show up in my wrapped?

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Hey PH! 👋
I built Competitor Wrapped because I was tired of spending hours manually tracking what competitors were doing. Who they're hiring, what's in the news, how fast they're growing. It was scattered across LinkedIn, Crunchbase, Google Alerts, and a dozen tabs.
So I built something that just wraps it all up, like a Spotify Wrapped.
Enter any competitor's domain and our AI agent deep-researches the entire web and delivers a Wrapped that tells you your competitor’s:
🧑‍💼 Key person hires: know exactly who your competitors are bringing on board
📊 SEO performance: monitor domain authority, rankings, and search visibility
📈 Department headcount growth/decline: sales, engineering, marketing - see where they're scaling up or cutting
💰 Funding announcements: get notified the moment a competitor raises
🔧 Feature updates: track every product enhancement and new capability
🚀 Product launches: never miss a new release from any competitor

Try it for free at: Competitorwrapped.com

Open to feedback. Feel free to let me know what other datapoints you’d love to see in your competitor wrapped?

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This is really good. Very helpful to figure out roadmap of the competitor based on who they are hiring. Another request for feature would be: analyze this from the profiles of the people they have hired and give the full analysis

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Congrats on the launch! Sounds like an amazing product. Knowing who a competitor is hiring is one of the most underrated signals in startup strategy. Having all of that in one place instead of piecing it together across tabs is a real time saver. Can you track multiple competitors at once and get alerts when something changes, or is it more of a one-time snapshot?

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@mhimed Congrats on the launch!

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Thanks @manmohit! It was a fun project to work on.

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Can it detect when a competitor quietly sunsets a feature or removes a pricing tier? Those subtle moves are often the most telling. Cool launch!

0
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#17
StartupCFO.AI Finance Stack for Startups
Better Financial Decisions for Your Startup — AI-Powered.
21
一句话介绍:一款面向初创企业的AI一体化财务平台,通过整合簿记、CPA和CFO职能,并利用ClariFi引擎提供预测性财务分析与规划,解决初创公司财务决策缺乏前瞻性指引的痛点。
Fintech Finance Accounting
AI财务平台 初创企业服务 财务预测 业财一体化 智能分析 合规自动化 融资支持 财务仪表盘 FP&A模型 场景模拟
用户评论摘要:创始人评论指出传统财务模式存在历史数据与战略决策脱节的问题。用户关注产品在关键假设突变(如大客户流失)时的动态场景分析能力。官方回应称KPI会按月或按需更新并自动同步至所有报告。
AI 锐评

StartupCFO.AI试图用AI缝合初创企业财务管理的结构性断层——将割裂的簿记、合规与战略分析整合为持续输出的“财务情报系统”。其真正的颠覆性不在于自动化会计处理,而在于将传统CFO的决策框架产品化为可交互的ClariFi引擎。

产品直击初创财务最致命的幻觉:把历史簿记等同于财务管控。多数初创公司死于现金流预见性缺失而非账面错误,ClariFi提供的动态场景模拟和实时预测模型,本质上是为创始人构建财务决策的“数字孪生”。但值得警惕的是,财务预测的准确性高度依赖数据质量和模型假设,在早期业务剧烈波动阶段,过度依赖算法可能产生“精确的谬误”。

从官方对场景变化问题的回应来看,产品仍依赖人工团队按月更新KPI,这暴露了当前AI财务系统的局限性——无法真正实现业务变化的实时感知。其价值更多体现在建立财务逻辑的标准化框架,而非即时预测黑天鹅事件。

该产品的市场考验在于能否在标准化交付与深度定制化之间找到平衡。初创企业的财务复杂性差异极大,从预收入阶段到Scale-up阶段的需求断层,可能不是单一平台能够完全覆盖的。若真能实现“融资数据室自动生成”等承诺,或将重构初创企业融资尽职调查的成本结构,这才是最具破坏性的价值点。

查看原始信息
StartupCFO.AI Finance Stack for Startups
Most startups cobble together a bookkeeper, CPA, and CFO separately. StartupCFO.AI replaces all three with one integrated finance team powered by AI. Traditional accounting tells you where the money went. We wanted to tell founders where their startup is headed. Our ClariFi engine provides founders FP&A models, pricing models, scenario analysis, cash forecasts, dashboards, board packs, fundraising data rooms, spend guardrails, accounting, tax and compliance on autopilot.
As founders, advisors, and accelerator mentors, we kept seeing the same pattern: founders scatter finance across bookkeepers, tax preparers, and spreadsheets — and confuse backward-looking accounting with strategic finance. They get reports on where the money went, but never the forward-looking clarity to decide where it should go. We built StartupCFO to unify all three into one system that delivers financial intelligence, not just historical numbers. We built StartupCFO to unify all finance support startups need into one integrated approach so every founder gets financial intelligence on demand.
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How does ClariFi handle scenario analysis when key assumptions change mid quarter, like losing a big customer or closing a round? That forward looking clarity is exactly what founders need. Cool concept!

0
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@mateuszjacni KPIs are updated monthly or on demand by our team so the founders have the latest information. Once KPIs are updated, all other reports get automatically updated.

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#18
Claude Code Channels
Message Claude Code directly from your phone
18
一句话介绍:一款能让用户通过手机向桌面端Claude Code会话推送消息、警报和Webhook的工具,解决了开发者离线时无法让AI助手实时响应CI结果、监控事件等关键信息的痛点。
Developer Tools GitHub Marketing automation Vibe coding
AI编程助手 远程协作 开发运维 消息推送 自动化监控 CI/CD集成 MCP服务器 离线响应 移动办公
用户评论摘要:用户反馈已在桌面端使用,对移动端发展表示期待。核心提问聚焦于产品的实际效用,要求提供一个在测试中通过Channels实现离线即时修复CI故障或监控警报的具体案例。
AI 锐评

Claude Code Channels 本质上是一个“AI助手连接器”,其核心价值在于试图将Claude Code从一个被动的、基于单次会话的编程工具,升级为一个主动的、持续性的、可嵌入工作流的智能代理。它瞄准的痛点是真实的:开发者离开工位后,CI流水线失败或服务器报警往往意味着响应延迟,而该产品试图让AI成为第一响应者。

然而,其面临的挑战同样尖锐。首先,这严重依赖于MCP服务器的生态建设以及用户自身工作流的成熟度,门槛不低。其次,评论中用户追问的“真实修复案例”直击产品最脆弱的逻辑环节:当前的AI能否在缺乏开发者上下文交互的情况下,仅凭推送的信息就做出正确、安全、有效的“修复”动作?这不仅仅是技术问题,更是信任与责任问题。将警报“转发”给AI和让AI“处理”警报,之间存在巨大的能力鸿沟。

因此,这款产品的真正前景可能不在于“替代开发者做决策”,而在于成为一套更智能的“信息筛选与预处理系统”。在离线状态下,它能汇总、梳理、初步分析事件,并为开发者返回结构化的简报和潜在选项,将“警报噪音”转化为“待办清单”,这或许是更务实且安全的价值路径。它的发布,反映的是AI工具从“对话式功能”向“代理式服务”演进的一次边缘试探。

查看原始信息
Claude Code Channels
Use channels to push messages, alerts, and webhooks into your Claude Code session from an MCP server. Forward CI results, chat messages, and monitoring events so Claude can react while you’re away.

Using it on the desktop already, maybe the next step ? 👀

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回复

Congrats on the launch. What's one real-world example from your testing where channels turned a CI failure or monitoring alert into an instant fix while you were offline?

0
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#19
KIT.domains
Domain infrastructure monitoring across all registrars
17
一句话介绍:KIT.domains 是一款域名基础设施监控平台,通过在单一仪表盘中集中监控分散在不同注册商处的域名过期、SSL证书和DNS变更,帮助IT团队、MSP和服务商解决因手动跟踪疏漏导致的网站停摆核心痛点。
SaaS Tech
域名监控 基础设施管理 IT运维 证书过期预警 DNS监控 多注册商管理 自动化告警 SaaS 网络安全 停机预防
用户评论摘要:开发者详细阐述了产品重构亮点(新界面、API导入、DNS完整性监控等)及解决的市场痛点(告别表格、手动检查)。唯一用户评论为祝贺性反馈,肯定其工作量,目前无实质性使用问题或功能建议。
AI 锐评

KIT.domains 瞄准了一个被广泛忽视却极其致命的缝隙市场:域名生命周期的“静默失效”。大多数监控服务聚焦于服务器与应用层的“死后验尸”,而该产品试图在“临床死亡”发生前介入——通过自动化监控域名、SSL、DNS这三项构成网站访问基座却极易因管理分散而失守的要素。

其真正价值不在于技术上的颠覆,而在于对运维责任“灰色地带”的清晰界定与接管。对于管理大量客户站点的MSP和IT机构而言,域名资产常分散于多个注册商,续费、证书更新责任模糊,往往在客户投诉后才被动发现。KIT.domains 的价值主张是成为跨注册商的统一“基础设施看门人”,将被动救火转为主动预警。这本质上是一种“责任保险”和“流程合规”工具。

然而,其挑战也显而易见。首先,市场教育成本高,需要扭转用户“域名设置一次即可”的惯性思维。其次,作为中间层监控工具,其数据准确性和告警及时性高度依赖与各大注册商API对接的深度与稳定性,这可能成为其可靠性的潜在瓶颈。最后,在集成生态上,虽然已支持Slack、HaloPSA等,但要嵌入企业现有复杂的运维流水线(如与RMM、ITSM工具深度联动),仍需证明其不可替代性。它并非解决一个技术难题,而是解决一个管理盲区和责任归属问题,其成功与否将取决于能否在目标客户心中建立起“关键基础设施一环”的必要性认知。

查看原始信息
KIT.domains
Monitor domain expiration, SSL certificates, and DNS changes across all registrars - in one place. KIT.domains helps you track your entire domain portfolio, detect issues in real time, and avoid downtime caused by missed renewals or DNS misconfigurations. Import domains via API, eliminate manual checks, and get alerts in Slack, Telegram, webhooks, or HaloPSA - so you can fix issues before they impact your users.
Hey Product Hunters 👋 Most website outages don’t start with downtime. They start with an expired domain, broken SSL, or a silent DNS change. Most monitoring tools only check uptime. But the real issues happen earlier - at the domain level. That’s exactly why we rebuilt KIT.domains. 𝐖𝐇𝐀𝐓 𝐈𝐒 𝐈𝐓? KIT.domains is a domain infrastructure monitoring platform that helps you track expiration, SSL, and DNS changes across all registrars - from one place. 🔥 𝐖𝐇𝐀𝐓’𝐒 𝐍𝐄𝐖 (this is NOT the same product we launched before) We’ve completely rebuilt it: ✓ New interface & dashboard ✓ API-based domain import (Namecheap, Porkbun, more coming) ✓ DNS Integrity Monitoring (real-time change detection) ✓ Renewal calendar for full visibility ✓ Native HaloPSA integration ✓ Alerts in Slack, Telegram, Webhooks 𝐖𝐇𝐘 𝐖𝐄 𝐁𝐔𝐈𝐋𝐓 𝐊𝐈𝐓 𝐃𝐎𝐌𝐀𝐈𝐍𝐒 Because managing domains today looks like this: • multiple registrars • scattered data • manual tracking • missed renewals And when something breaks - you find out from a client. 𝐖𝐇𝐀𝐓 𝐂𝐇𝐀𝐍𝐆𝐄𝐒 𝐖𝐈𝐓𝐇 𝐊𝐈𝐓.𝐃𝐎𝐌𝐀𝐈𝐍𝐒 ➠ No spreadsheets ➠ No manual checks ➠ No “we forgot to renew” You see everything in one place - and get alerted before it becomes a problem. 𝐖𝐇𝐎 𝐈𝐓’𝐒 𝐅𝐎𝐑 ✓ MSPs ✓ IT teams ✓ agencies ✓ anyone managing multiple domains Can't wait to hear your thoughts and feedback! 💬🚀
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@victor_sh_dev Congrats on the new launch! I can see you did a huge amount of work compared to the previous launch. Keep going!

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@mariakorniiova Thanks a lot, Maria!

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#20
Manifest
Open Source LLM Router for OpenClaw
16
一句话介绍:一款为OpenClaw设计的开源LLM路由工具,通过智能分析请求复杂度并自动分配至最经济的AI模型,在运行AI智能体时显著降低API调用成本,最高可节省70%费用。
Artificial Intelligence GitHub No-Code
AI成本优化 开源LLM路由 模型调度 API费用管理 智能体基础设施 隐私保护 自托管 实时成本仪表板 预算警报 OpenClaw生态
用户评论摘要:有效评论主要为产品团队对产品功能、原理、数据及愿景的详细阐述,强调解决OpenClaw用户API费用过高痛点。另一条为简短祝贺。无外部用户提出的具体问题或建议。
AI 锐评

Manifest瞄准的是一个精准且日益凸显的痛点:AI应用规模化后失控的API成本。其核心价值并非技术上的颠覆,而是扮演了“AI世界里的精算师与调度员”角色。在模型能力分层、价格差异巨大的当下,粗暴地将所有请求丢给GPT-4无异于财务自杀。Manifest的智能路由,本质是实现了“任务复杂度”与“模型能力/成本”的动态匹配,这是工程思维对资源浪费的精确打击。

然而,其成功高度绑定于OpenClaw生态,这既是初期增长的利器,也是长期发展的枷锁。产品描述的“不存储提示、无质量损失”是隐私与效能的定心丸,但“2ms内分析”的承诺在复杂决策链中能否持续稳定,仍需实战检验。其公布的早期数据(2000用户、4000+ GitHub星)显示开源策略获得了开发者关注,但1000云用户数也暗示自托管的高门槛将大部分用户挡在了“免费”之外。

真正的挑战在于,其愿景“让智能体将任务委托给正确的服务”已踏入更复杂的服务编排与集成领域,这将直接与云厂商的同类服务及更多编排工具竞争。当前它更像一个“省钱外挂”,未来若要成为“智能体执行平台”,则需构建更深层的价值,如跨模型的效果保障、更优的延迟处理,而不仅仅是成本单一维度。开源是其护城河,但如何将社区影响力转化为可持续的商业模式,是“永远开源”承诺背后必须解答的难题。

查看原始信息
Manifest
Stop overpaying for AI requests. Manifest routes every OpenClaw request to the cheapest model that can handle it. No prompt stored, no quality loss. Most users cut their bill by up to 70%.

Hey Product Hunt 👋

If you run OpenClaw, you've checked your API bill and thought "how did it get this high?". OpenClaw sends every request to the same model. A quick question costs as much as a complex task. You're overpaying for most of what your agent does.

That's why we built Manifest, an Open Source and smart LLM router for OpenClaw and personal agents. It cuts your OpenClaw costs by up to 70%. It's free, fully self-hostable, and it respects your privacy.


How it works
Manifest analyzes each request in under 2ms, decides how complex it is, and routes it to the right model. A real-time dashboard lets you track the cost of each agent as it happens.


What's included

  • 600+ models available

  • OAuth connectors for major providers on top of API key support. 

  • A fallback system to make sure your agent never hits a dead end. 

  • A cloud version for those who don't want to self-host. 

  • A real-time cost dashboard

  • Budget alerts and spend limits to get notified or block requests when a threshold is crossed

Where we are today

We launched 4 weeks  ago. Since then

  • 2,000+ users. 1000  on cloud. 

  • 4,000+ GitHub stars. 

  • 10,000+ downloads. 

Where we're going

Our vision goes beyond routing. We're building a platform where agents delegate the right task to the right service. Smarter execution and lower cost.


Who it's for

Anyone running OpenClaw or personal AI agents who wants to pay less and control costs.


Manifest is open source and will always be. If you try it, we'd genuinely love your feedback. Every piece of feedback makes Manifest better for everyone.

1
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Congrats on launch! Manifest to the moon!!

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