Product Hunt 每日热榜 2026-01-26

PH热榜 | 2026-01-26

#1
Minara
Research, plan, and invest in one chat
355
一句话介绍:Minara是一款AI驱动的数字资产投资助手,通过聊天界面整合市场研究、投资规划与链上执行,解决投资者在信息过载环境中难以将洞察转化为清晰、可执行计划的决策瘫痪痛点。
Investing Crypto Finance
AI投资助手 加密资产 聊天式交互 研究规划执行一体化 链上交易 自动化工作流 决策支持 数字金融 Web3 智能投顾
用户评论摘要:用户普遍认可其“研究→决策→执行”的闭环理念,认为聊天形式降低了使用门槛,整合工作流有望提升粘性。核心反馈聚焦于计划输出的可信度、执行环节的安全控制,并探讨其更适合新手指导还是老手提效。团队积极回复,重点关注用户对分析结论的信任度。
AI 锐评

Minara的野心不在于成为又一个信息聚合器,而在于试图成为数字资产投资的“决策中枢”。其真正价值并非简单的“聊天下单”,而是通过结构化的工作流,强制用户在行动前经历“分析-计划-风控”的决策冷却,对抗加密市场典型的冲动交易文化。

产品巧妙地将自身嵌入“信息混乱”与“行动犹豫”之间的关键断层。用户评论中“收藏无数链接却无结论”、“在推特、仪表板间徘徊最终无行动”的表述,精准命中了这一痛点。Minara提供的并非终极答案,而是一个决策框架——它将散乱的信息点归纳为论点、证据、风险与具体步骤,将模糊的“感觉”转化为可追溯、可复盘的行动逻辑。这使得它既能给新手提供结构,也能帮老手压缩研究到执行的摩擦。

然而,其最大挑战也在于此:AI生成的“可信计划”是产品的生命线。若分析流于表面或数据滞后,整个闭环将瞬间崩塌。团队在回复中强调“证据与假设的区分”、“风险可见性”,表明他们意识到这是信任核心。此外,“链上执行”带来便利的同时,也大幅提高了用户对安全性与风控透明度的期待,这将是其从“智能助手”升级为“受托伙伴”必须跨越的鸿沟。

当前产品形态介于“学习工具”与“执行工具”之间,这既是差异化优势,也可能导致定位模糊。若能持续夯实分析深度与实时性,它有望成为理性投资者的“决策协处理器”;若过于偏向执行便利而弱化分析严谨性,则可能沦为又一个带有投机色彩的交易工具。其成败关键在于,能否在AI的“辅助”与用户的“主导”之间,找到那个令人安心且可靠的平衡点。

查看原始信息
Minara
Minara helps you move from market insight to investment action with confidence, in one chat. Start with a question or a hunch. Minara gathers real-time context and does the heavy lifting to separate the wheat from the chaff, so you can decide your next play. When you’re ready, invest directly by executing on-chain trades in chat. As you develop your investment chops, build powerful workflows to automate monitoring, reports, and rule-based strategies, so you can act quickly and decisively.

Hey Product Hunt 👋

I’m Lowes, co-founder of Minara. I got into crypto in 2017 and started building in 2020. Our team has shipped several products, including NFTGo, which reached 10M+ users globally.

Minara is our latest flagship product. It helps you research, plan, and invest in digital assets all in one chat. It helps you move from market insight to action with confidence.

The problem we kept running into was simple: 

Information is everywhere, but turning it into a clear, well-reasoned plan and actually acting on it is still the hardest part for most people.

That’s why Minara is built around a closed-loop flow: insight → decision → action.

With Minara, you can:

  • Turn a hunch into a clear, decision-ready investment plan  

  • Invest directly in chat with on-chain execution

  • Build workflows to automate monitoring, alerts, and rule-based trading strategies  

Minara will continue to support more digital assets and user scenarios, while deepening its agent capabilities.

We’re excited to share this with the PH community and would love your honest feedback. We’ll be here all day answering questions.

🎁 Product Hunt launch offer: 30% off your first subscription with code PH2026  

👉 Try Minara: https://minara.ai/  

👉 Join our Discord to talk with the team: https://discord.com/invite/minaraai  


Thanks for checking us out, and huge thanks to our hunter Chris Messina for hunting us 🙏

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@lowesyang "Congrats Lowes and the Minara team on the launch! 🚀

The 'insight → decision → action' loop is a game-changer, especially for simplifying on-chain execution. As a student founder also launching today (currently fighting at #348 with my privacy tool, Nexilant), I really admire the clean workflow you’ve built.

I’ve just supported Minara! If you have a moment, I’d love for an experienced builder like you to give some quick feedback on Nexilant on today’s list. 🛡️

Good luck for the #1 spot!"

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@lowesyang Turning insight into on-chain action is a big step! In real usage, where do users hesitate most before pulling the trigger, trusting the analysis, understanding risk, or approving execution and what actually helps them cross that line with confidence?

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Early impression is that Minara is trying to bridge the gap between reading a lot and actually acting with a plan. The chat format feels less intimidating than bouncing between tools.

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@yuanhao1 Hey Yuanhao, appreciate your words. A lot of people can read a ton of info, but turning it into a good analysis and then an actionable plan is where things break down.

We use the chat format on purpose: it keeps context in one place and helps you move all in one place, without stitching together multiple tabs and tools. Hope you enjoy using Minara!

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Minara feels like it wants to be an execution copilot, not only a research assistant. That’s interesting because execution is where I usually get stuck.

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@sarahjiang Hey Sarah, thanks for your comments. That “research is easy, execution is hard” gap is exactly what we’re trying to close with Minara.

In Minara, the goal is to keep the analysis and the next action in the same thread, so you can turn an idea into a concrete plan and then execute. Hopefully Minara can help you with your next digital asset investment experience.

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Minara feels like a real “AI CFO” for digital finance, not just another chatbot. I like how it combines real-time market/on-chain insights with natural-language agent workflows, so research can actually turn into action in one place. Excited to see more clarity on safety/controls around execution, but overall a strong launch.

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@zongze_x Thank you. We’re aiming to connect real-time market + on-chain context with structured workflows, so research doesn’t die in a notes app and can translate into a clear plan and next step in the same place.

On execution, we’re intentionally conservative today: actions are explicitly user-confirmed, and we focus on keeping risk constraints and the decision trail visible.

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If someone tries Minara today from Product Hunt, what’s the one thing you want them to pay attention to first? Are you hoping for feedback more on UX friction, the positioning, or how trustworthy the plans feel?

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@anthony_cai If you try Minara today from Product Hunt, the one thing I’d watch first is whether it reliably turns a messy idea or a random question into a detailed analysis and actionable takeaways you’d actually follow.

The most valuable feedback for us right now is trustworthiness of the plan output:

  • does the reasoning feel grounded with many real-time data sources (what’s evidence vs assumption),

  • are risks/invalidations clear,

  • and are the next steps specific

UX friction is still helpful too. But if the plan doesn’t feel solid, nothing else matters.

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Who do you think Minara fits best right now? Is it more for newer investors who want guidance, or for experienced people who want to compress research into a cleaner plan?

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@vega_chan Good question. Right now, Minara fits best for people who want to be plan-driven and have an all-in-one financial assistant, regardless of experience level.

  • Newer investors tend to use it for structure: turn a idea or market question into a reasonable analysis report and then a simple plan (what matters, key risks, and clear rules like entry/exit + sizing) so they’re not just reacting to noise.

  • More experienced users use it to compress scattered inputs (links, charts, on-chain signals) into a cleaner and actionable plan they can actually follow through.

So if you either hesitate after doing research or bounce between tools and lose the plan, you’ll feel the value fastest within Minara.

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I tend to collect too many links and screenshots, then still hesitate. If Minara can consistently turn that mess into a clear “so what,” that’s a real upgrade.

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@lvyanghuang That’s exactly the pain: you end up with a folder of links and screenshots, but no clear “so what,” so you hesitate and not doing anything.

Now Minara turns them into a decision-ready snapshot: the core thesis, what evidence actually supports it, what would invalidate it, and a concrete and reasonable plan (how to set and make the trade). If you choose to act, the next step can stay in the same thread so you don’t lose context bouncing between tools.

No promises and just help you to decide, of course. But it’s a reliable way to turn “research clutter” into a clear next action and a record you can review later.

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Minara looks promising for people who want to be less reactive. Getting a plan with context before acting is the kind of structure I’m trying to build.

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@yuki1028 Thanks, Yuki. That’s exactly the behavior we’re trying to support: less reactive, more rule-based.

Minara is designed to help you turn “context” into a concrete plan, and keep the reasoning tied to the next action so it’s harder to drift into impulse moves.

If you give it a try, start with a real scenario you’re facing (a digital asset you’re watching, or a position you’re managing) and ask for a plan with clear risk constraints. That tends to be the fastest way to see if the structure fits your style.

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Any plans to incorporate some news solely about payments?

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@busmark_w_nika Hi, Nika. Great question. Yes , “payments” is a core theme we care about (stablecoins, rails, on/off-ramps, merchant adoption, regulation, etc.).

Today, Minara can already pull payment-related updates if you ask in chat (e.g., “What’s new with USDC/CCTP, stablecoin regulation, or crypto payment adoption this week?”) since we aggregate broad news and market/on-chain sources, and some are in real-time.

What we don’t have as a dedicated surface yet is a payments-only news feed/watchlist. But we have a Discover page that has a "news feed" section. It shows all kinds of news feeds analyzed and processed by Minara.
Hope that answers your question, if not, Let me know! Thank you.

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Feels like less tab soup for crypto. If it really takes a hunch → plan → on-chain in one chat, that’s handy. I’m usually stuck between tweets, dashboards, and no action. Gonna test with a small bag and see how the alerts/workflows feel. Nice ship.

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@alexcloudstar Thank you for your words, Alex.

If you test with a small bag, a good first check is whether Minara can turn your idea or question into a in-depth analysis and a clear plan with risk rules, before you ever touch execution. This loop should help you stick to that plan without living in dashboards. All you need to do is chat with Minara.

Also, I am curious to hear whether the workflows feel more like “useful guardrails” or “just more notifications” once you try them.

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The workflow builder is the kind of feature that can make Minara sticky. It feels like something that could become part of a weekly routine.

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@xiangst0816 Yes, Minara workflows are meant to handle tedious and repeatable tasks for you in digital finance.

A common weekly routine we see is: setting workflows to monitor specific conditions, getting notified when something materially changes via email or a Telegram bot, or directly triggering a trade through a workflow.


If you end up trying it, the best place to start is with one workflow that matches your preferences (such as a weekly watchlist check or a simple rule-based alert), and then build more cool workflows from there.

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Hey there guys! Awesome launch here :)

What tech stack did you use for the cross-platform mobile build (iOS and Android)? Looks super polished and responsive from the screenshots, is it Flutter, React Native, or something custom/native?

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@cathcorm Thank you for the congrats!

We’re web-app first, but we’ve shipped iOS and Android recently so users can use Minara on the go.

The mobile apps follow a cross-platform-style approach in practice: a shared product UI/UX system, an API-driven thin client, and native integrations. I will loop in our frontend dev to answer your toolchain-related question @heal_yi .

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Interesting approach. Data is easy to find—decisions aren’t. Excited to try this and see how the chat-based execution works in practice. Congrats on the launch @lowesyang

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  @sunny_k_s  Thank you. Appreciate the congrats. If you try Minara today, the best way to feel the “chat-based execution” is to start with a real scenario. You can ask about current market news or any digital assets you interest in, then you will get a detailed analysis with actionable takeaways. Then you can execute the on-chain trade on Minara.

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Hey everyone! 👋 Maker here.

Building Minara started from a real pain point - I was tired of juggling 10+ tabs just to manage my crypto positions across different chains. The existing tools felt either too complex for newcomers or too basic for serious traders.

So we built what we wished existed: an AI assistant that actually understands trading context. You can literally type "swap 100 USDC to ETH when ETH drops below $3000" and it handles the rest.

The hardest part? Making complex crypto operations feel simple without dumbing them down. We spent months refining the AI to give actionable insights, not just data dumps.

Would love your feedback - especially from fellow builders in the crypto and ai space. What features would make your trading life easier?

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@heal_yi Appreciate for your words and contribution.

That “10+ tabs across chains” pain is exactly what pushed us to build Minara too. We’re trying to make the loop from context → plan → execution feel seamless in one place, without turning it into a complicated pro terminal.


If anyone here has thoughts on what would make an AI execution copilot genuinely useful (or what would make you trust it more), we’d really love your feedback.

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Really excited to see Minara featured here!

One thing that’s been super validating as we’ve been building is how often users tell us the hardest part isn’t a lack of data, but turning unfamiliar signals into confidence and clarity. That’s especially true in Web3, where new protocols, token models, and on-chain mechanics are constantly emerging.

Beyond helping distill what’s happening now, we’ve found AI can empower users to learn and internalize new Web3 concepts quickly. Things like liquid staking mechanics, MEV dynamics, rollup economics, or composable DeFi primitives, and anchor those insights in verifiable on-chain data. It’s one thing to read a crypto tweet article, and another to understand how those concepts manifest in real metrics.

Bringing that learning and decision-ready context into the same chat where you can actually execute, whether research, planning, or even on-chain settles, is a huge part of why we built this. Curious to hear where this community finds AI most helpful for both learning and action!

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@amberjolie  I resonate with this. We keep seeing users ask “what does this mean in practice?”, so we try to tie explanations to checkable signals before moving to a plan or execution step.

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invest in one chat is bold. i usually prefer a gap between my research and my wallet just for safety/sanity. is the execution layer non-custodial?

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@samet_sezer I feel you, Samet.

Minara’s execution layer is not purely non-custodial by default. We use a custodial + Account Abstraction (AA) hybrid wallet: when you sign up, a wallet is created for you (no need to connect MetaMask), and you can deposit/withdraw as needed. Execution actions are still explicitly confirmed by you (we don’t silently fire trades in the background).

If you prefer, you can also use Minara for research + planning only, and execute in your own wallet/exchange until you’re comfortable with the flow.

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Risk honesty matters to me. I like that Minara seems designed to surface counterpoints, especially when crypto narratives are one-sided.

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@krystal_wuu That's a good point. Yes many users prioritize on risk when they make decisions. In crypto or digital finance, the “one-sided narrative” is often the real risk.

We try to make risk honesty a first-class part of the output: actively surfacing counterpoints, calling out what’s uncertain, and stating what would invalidate the thesis: Minara is not just reinforcing the bullish case.

The goal is to help you make a decision with eyes open, not to sell a story.

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This is a project that solves a big pain point that I have with crypto investing - expertise. With Minara, the walls are crumbling down and everyone has access to information.

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@kf_builds Thanks for your kind words, Kai.

One thing we’ve built deliberately is our analysis framework inside Minara's multi-agent system: Minara pulls from multiple data sources (market + on-chain signals), runs structured reasoning, and cross-checks key claims before turning it into a clear, decision-ready view.

The goal isn’t just “more information,” but higher-confidence context you can actually act on. with transparency about what’s known vs uncertain.

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Hey everyone — maker here 👋

We built Minara with a strong focus on design clarity and cognitive calm. In financial tools especially, it’s easy to add complexity to look powerful, but much harder to make things feel simple and trustworthy. Most of our design decisions came down to what we chose not to add.

Really excited to hear how this approach resonates with you.

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@rexlian Love this, and +1 on “cognitive calm” being underrated in finance-related products. You can feel a philosophy behind Minara's UI: clarity first, fewer distractions, and calmer decision-making


A lot of our choices were about keeping the thread readable and making risk boundaries explicit rather than hidden behind “power features.“

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Minara's approach of turning financial hunches into well-researched buys (or alternative strategies if your hunch isn't supported) — all within one integrated context — is super savvy.

The design is approachable and refined, and the tools are robust and insightful.

Until Charles Schwab modernizes its web platform, I'll be sure to pass my investment theses by Minara before taking the leap.

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@chrismessina Thank you so much, Chris. We really appreciate you hunting us and the thoughtful comment.

What you described is exactly the behavior we aim for. Also the Schwab line made us smile. We are excited for you to run your next investment thesis through Minara before you take the leap!

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everything happening in a single conversation makes decision-making faster. No jumping between dashboards or tools

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@navin_kumar_singh Exactly! that continuity is the point. We also like it because the whole path stays reviewable later (what you saw → what you decided → what you did).

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Huge congrats on the launch — love how Minara closes the gap between insight and on-chain execution in a single, focused chat experience.​

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@zeiki_yu Thank you, we really appreciate that. If you get a chance to try it, I’d love to hear your feedback or any suggestions for future improvement

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Love the vision of a virtual CFO! The UI looks very clean. One thing though, how do you guys handle the price gap during the chat? Revolut locks the rate for a few seconds so the user doesn't get screwed by volatility. Does Minara have something similar built into the window, or is there some slippage protection?

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@valeriia_kuna Hey Valeriia. I am glad you like our UI. Also, you raised a very good question.

That “rate lock / slippage safety” is a must-have in volatile markets.

For perps trading feature (Trading Copilot): Orders execute on Hyperliquid, and Minara supports both limit and market orders. Our “Quick Order” flow by Copilot pre-fills a limit entry plus take-profit and stop-loss, and you confirm before placing, so you’re not forced into a drifting market fill.

For spot swaps: execution follows the underlying DEX routing at the time the transaction is submitted, so the final fill can move with market conditions (typical on-chain behavior). We don’t claim a Revolut-style guaranteed rate lock window today.

Are you asking about spot swaps or perps execution? I can point to the exact behavior for that flow.

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CG! Have a great flight, guys!

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@artem_stenko Thank you! Appreciate it 🙏 We’re excited to keep shipping and replying here.

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congrats @lowesyang this looks great

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@alexmturnbull Thank you! we appreciate it 🙏 Feel free to give it a try and let us know how it goes.

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Congrats to the team for the progress so far, great to see! What are the goals for Minara in 2026?

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@eric_nodeops Hi, Eric. Thanks for your congrats. We appreciate it!

You brings an interesting question. For 2026, our goals are:

  • Support more digital assets for the closed-loop experience(from analysis to on-chain execution), and broaden real-time market and on-chain coverage, so more scenarios are “one chat away.”

  • Make workflows more reliable and more useful across use cases (monitoring, alerts, recurring routines, and rule-based execution where appropriate).

  • Upgrade the workflow experience so it’s more builder-friendly: edit flows easily, and test before deployment so you can trust what you’re running.

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Minara feels like this mediator between wanting and actually starting. def giving it a try! congrats on the launch!

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@yellow_yetti Thank you. I hope it helps you move from intention to a clean next step. If you try it, feel free to let me know what you think and if it's a good mediator.

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intersting

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@madalina_barbu Thanks! If you end up giving Minara a quick try, let me know what you think of it.

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Really enjoying how Minara treats execution as a first-class citizen, not an afterthought. A lot of tools help you understand what’s happening, but the moment where insight has to turn into a decision is where most people freeze. Keeping research, reasoning, and action in one calm thread feels like a very intentional choice, and it shows.

The emphasis on clarity and restraint also stands out. In markets that reward speed and noise, designing for confidence and composure feels quietly radical.

I’m launching something today from a slightly different but a similar philosophy angle and intent. Number Our Days is about time awareness and purposeful living, helping people see their days, seasons, and milestones clearly so action follows reflection instead of impulse. Different domain, same belief that structure creates freedom.

Congrats to the team on the launch. This feels like a product built by people who actually use it!

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@saemscodes Thank you, this is one of the most meaningful notes we’ve received today. And congrats on your launch too "Number Our Days" sounds like it shares the same core belief: structure creates freedom. Wishing you a strong day on Product Hunt.

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The fact that you can research, plan, and execute without jumping between 5 tabs is fire. My browser thanks you.

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@abod_rehman 😂 love that, that's what Minara is built for. Say you welcome to your browser :)

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#2
Verdent
Your AI-native partner for the new way to build software
274
一句话介绍:Verdent是一款AI原生的编码助手,通过提供无干扰、聊天优先的沉浸式工作空间,支持并行任务处理和代码变更清晰管理,旨在解决开发者在现代碎片化工作中频繁切换上下文、难以保持深度专注的核心痛点。
Productivity Artificial Intelligence Development
AI编程助手 开发者工具 深度工作 多任务并行 代码变更管理 无干扰设计 聊天式交互 工作空间隔离 智能规划 团队协作
用户评论摘要:用户普遍赞赏其“并行隔离工作空间”设计能有效管理复杂任务和避免冲突,认为其找回了“心流”状态。主要问题集中在初始设置(如创建新应用时选择文件夹的困惑)和高级功能(如多智能体协调、依赖管理、跨会话记忆)的实现细节上,团队已积极回复并透露了相关功能路线图。
AI 锐评

Verdent的亮相,与其说带来了又一款代码生成工具,不如说它是对当前“AI+编程”范式的一次清醒纠偏。在竞品热衷于比拼生成速度和代码行数时,Verdent敏锐地抓住了更本质的痛点:现代开发流程中因工具碎片化导致的“上下文切换疲劳”与多任务并行引发的“协作混乱”。其核心价值并非更强的代码生成能力,而在于构建了一个以“规划-执行-隔离-合并”为闭环的AI原生工作流。

产品通过“聊天优先”界面和早期澄清提问,强制将模糊想法转化为清晰计划,这直击了AI助手“盲目生成、反复调试”的效率陷阱。而其王牌功能——基于Git worktree的隔离式并行工作空间,则是将软件工程中成熟的“分支策略”理念应用于AI智能体协作。这并非简单的技术堆砌,而是一种至关重要的风险管控思维:它承认了当前大模型在复杂、长上下文任务中可能产生的混乱,并通过物理隔离将“试验的混乱”限制在沙箱内,从而保护主开发流的稳定。

从评论中的技术性质询可以看出,其真正的挑战与潜力都在于“协调”。如何优雅地处理跨工作空间的共享重构、定义智能体间的任务依赖、实现安全的合并策略,这些才是决定它能否从“优秀概念”迈向“生产级工具”的关键。团队回复中提及的“并发编辑检测”和可视化依赖跟踪,正表明他们正在啃这块硬骨头。

Verdent的野心不是替代IDE,而是成为驾驭多个AI智能体的“指挥中枢”。它能否成功,取决于其工作流设计在提升专注度的同时,所引入的“管理开销”是否远小于它避免的“混乱成本”。目前来看,它指出的方向——AI编程工具应从代码生成器转向流程治理者——无疑是正确的。

查看原始信息
Verdent
Bring the joy back to coding. Verdent is an AI coding assistant built for deep focus, with a clean, chat-first experience and no distractions. It asks clarifying questions early, helps you handle multiple tasks at once, and clearly shows what changed in your code. So you can spend more time creating and shipping solid results.

Hi Product Hunt 👋 I'm Adrian, the co-founder of Verdent.

We built Verdent because most AI coding tools simply add agents to existing editors to generate code, but the real problem we kept running into was losing focus. Modern dev work is fragmented, you're constantly switching between chats, terminals, docs, branches, and half-finished ideas.


Verdent is our attempt to bring all of that into one clean, immersive workspace where you can think, plan, and build with AI in the same place.


It asks questions when your idea is still fuzzy, turns that into a clear plan, and then lets you run multiple tasks and code changes in parallel, each in its own isolated workspace so nothing breaks or gets messy. While one thing is running, you can keep thinking, planning, or exploring the next idea instead of waiting.


It's not just for writing code either: people use it for docs, data, prototypes, and all the little things that go into shipping real work.


Verdent isn't trying to be a better editor.

It's trying to give you back your flow.

Happy to answer any questions here 🙌

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@livingindream_ congrats on the launch! Tell me more about the Plan Mode? That's the main reason I use vanilla Sonnet, cause I spent most of the time planning before execution. But other code agents go almost instantly into coding.

What's your approach to planning?

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@livingindream_ The parallel flow feature looks great - your website copy mentions multiple functions (documentation etc), including components outside of a user's expertise. Does each flow type follow a standard model for this? I suppose my question is if docs for example are outside of my expertise how do I know what has been produced is correct? Hope that makes sense. Congrats on the launch!
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Tried a lot of AI coding tools, but Verdent feels closer to how I actually work. I like that I can run tasks, switch context, and come back to a clear summary of what changed. It's less about generating code fast and more about staying focused while moving real work forward.

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@andy_wong4  Thank you, this captures the spirit of Verdent perfectly!

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Huge congrats on the launch — Verdent’s parallel AI workspaces look ideal for deep, focused shipping.​

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@zeiki_yu  Thanks for the kind words! We’re trying to make deep work with AI feel truly seamless!

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Verdent’s “parallel agents in isolated workspaces” is the right idea — at scale the real pain is merge collisions + hidden side effects across tasks, not codegen.
If you’re showing a clean diff/plan per agent and enforcing typed contracts + tests per branch, that’s huge.
Curious: how do you handle shared refactors (monorepo-wide changes) and keep agents from stepping on each other’s edits? 🔥

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@ryan_thill Hey Ryan, appreciate the thoughtful ask! Our approach is straightforward: isolate big refactors in their own space, then bring them back safely.

Parallel work in a single workspace is possible too, with the right safeguards.


Here is how we handle it:

  1. Isolated Workspaces: Our core solution is Workspaces (powered by git worktree ). This lets you spin up parallel, fully isolated environments for different tasks. Doing a monorepo-wide refactor? Just spin up a dedicated workspace. This keeps the "messy intermediate state" in its own lane, never blocking main branch or freezing your development flow.

  2. The Merge Strategy (Rebase & Fix): When merging a workspace back to main branch, we advocate a rebase-first workflow. Rebase the workspace onto the latest main to keep the history clean. If conflicts pop up, Verdent steps in to help analyze and fix them locally before the merge—resolving the mess in the sandbox, not on the main branch.

We know many devs prefer running multiple agents in a single workspace. In that mode, it's about managing risk:

  1. Controlling the "Blast Radius" : Parallel writing in one workspace requires awareness. You need to decouple tasks and keep the blast radius of each agent contained. Verdent supports parallelism, but we advise against letting multiple agents touch the same "high-risk area" simultaneously. Even the best models struggle when diffs get tangled there.

  2. We're also testing a new capability we’re shipping soon: Concurrent Edit Detection. Before an agent commits any write, it checks whether the code region has drifted from what it originally read. If someone else has touched that area in the meantime, the agent pauses, re-reads the latest state, and adjusts instead of blindly overwriting based on stale context. The goal is to turn silent collisions into explicit, handled events.

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Verdent made large, risky changes feel manageable. Clear structure, isolated execution, and a calm UI helped keep momentum without cutting corners. Congratulations!
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@odeth_negapatan1 Thank you! Love how you phrased this :)

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@odeth_negapatan1  Really appreciate this, Odeth. We obsess over the details that make complex work feel manageable, so it’s awesome to hear it resonated.

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I just paid for a month; wish there was a annual option. I downloaded, but cannot make an app; it asks for app name, I try to give that, it then looks for files in my computer, but why? Theis will be a nEW app; how do I even start?



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@osakasaul Appreciate the support! 🙌 (Annual billing is definitely on our roadmap).

Regarding on the folder issue: Verdent isn't looking for existing files, it just needs an empty directory to scaffold the new project into. Think of it like picking a 'Save' location.

Just create a new empty folder, select that, and you should be good to go.

If you're starting fresh, Plan Mode is a great first step. It helps you build the app via chat before generating any code. You can basically treat the AI as a dev partner to run or debug things without touching the code yourself.

Let me know if that works!

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Congrats on the launch! The idea of isolating parallel tasks while keeping planning and execution in the same space sounds like a real fix for context-switch fatigue. How does Verdent handle switching between these isolated workspaces in practice?

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@vik_sh Hey Viktor, thanks for the question! Switching workspaces is meant to be effortless, it’s just a tab at the top of the UI. Each one stays fully isolated, so you can hop between tasks, review changes independently, and merge back only when a thread is ready.

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@vik_sh 
We designed workspaces to function as isolated environments based on git branch. The goal was to eliminate the friction of context switching.

When you jump between tasks whether it's a bug fix or a new feature, Verdent saves your full state (code, terminal, and chat history) so you can pick up exactly where you left off.

We also mapped navigation to Cmd + [Number] to keep things fast; it helps you stay in flow without constant clicking.

A feature I use constantly is "Duplicate Task in New Workspace." It lets you fork a conversation from any specific point into a fresh environment. It’s a safe way to test an alternative implementation path without touching your original code or losing your current progress.

We built this specifically to kill that context-switching fatigue, so let me know if it works for you if you give it a spin!

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Congrats on this launch! :)

I'm very curious about how you're managing the multi-agent coordination and real-time session persistence under the hood. Any details on the orchestration framework or backend tech?

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@cathcorm Thanks for your question! We currently support built-in and customizable subagents, which can be spawned by the main agent at appropriate times. We also natively support git worktree to isolate the workspace for multiple agents to run in parallel and avoid conflicts. We're also actively exploring how to effectively orchestrate multiple agents as a team towards a complicated goal. Please stay tuned!

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Such high-end tools typically come with a steep learning curve. For your personal or team’s current workflow and skill level, is the efficiency gain from investing time to learn and adapt to its "parallel thinking" model clear and worthwhile?

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@new_user___019202600911c8682f619bb Thanks Daisy, totally get the concern 😄 But Verdent isn't meant to be a "fancy power tool with a steep learning curve.” It's built so any engineer can get real value fast, and then naturally unlock more as needed.

Here's the "no-drama" path we recommend:

Stage 1: Start with one task (no parallel thinking required).

Create a Plan, let Verdent execute it, then let it review the result. That’s it: plan → run → review → ship (or iterate).

Stage 2: When new ideas show up mid-task.

In real work, you’ll constantly discover follow-ups. Verdent lets you spin up a second task immediately and keep moving, instead of pausing everything and losing momentum.

Stage 3: When tasks might touch the same files.

If you’re worried about conflicts, put agents into separate Workspaces so each task stays isolated and clean while you experiment safely.

If you understand three concepts "Task, Plan, Workspace", you can already use the majority of Verdent.

And we've validated this internally: we didn't run any formal team training, yet almost everyone on our team picked it up and uses it day to day. What’s fun is that different people naturally discover different workflows, and a lot of them are surprisingly creative!

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This feels like the first tool that understands that building is messy before it’s clean. Wishing you all the best for the launch!

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@abod_rehman Awww this means a lot, thank you! That messy-to-clean journey is exactly what Verdent is built for!

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Enabling collision-free collaboration among multiple AI agents is the core value proposition. As a user, can you clearly and effortlessly define subtasks for each agent and their interdependencies? Is the overall task progress and the status of each individual agent easily trackable at a glance?

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@seeu_dazee Great questions! Yes we have a Task List module with up-to-date status (running, completed, or failed) on both the entry page (tasks across projects) and on each project page (tasks in single project), which is easy for users to track the status of agents. We're also working on a new feature to help users define, visualize and track a group of tasks with dependencies among each other. At Verdent, we're always pushing forward the best practice of multi-agent orchestration. Please stay tuned!

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@seeu_dazee From my own experience using Verdent day to day, it feels surprisingly easy to get started 😎 you can spin up parallel tasks quickly, and it’s very clear what’s running and what’s done without much overhead.

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Parallel work is a big promise in agentic coding, but it’s also where chaos happens (conflicting edits, massive diffs, broken branches). How does Verdent’s isolated workspace model change the day-to-day workflow for a developer, and what does “safe merge back” look like in practice?
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@curiouskitty This is exactly the chaos we wanted to avoid. Inside Verdent, some of our engineers follow a simple workflow: keep Base clean, do all changes in isolated Workspaces. Base is for thinking and alignment: Q&A, context gathering, comparing approaches, and iterating on an executable plan...while staying in sync with the main/release branch. When it’s time to build, we spin up a new Workspace and do all implementation, experiments, tests, and review there (including agentic review). The “messy middle” stays contained. “Safe merge back” in practice is align → verify → integrate: update the Workspace to the latest Base, run our verification gates (tests/lint/typecheck), optionally review plan + diff, then merge back. After shipping, we delete the Workspace so Base remains clean and runnable.

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love that it asks "clarifying questions early". most agents just guess and break my build. does it remember those answers for future tasks?

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@samet_sezer The clarification is also my favorite part! It ensures that the agent is aware of the hidden, unstated requirements in my mind, before starting to code. Our agent will remember your answers within the session, and we're currently working on cross-session memory. Stay tuned!

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#3
Cue
Schedule smarter. Post everywhere. Grow faster.
246
一句话介绍:Cue是一款面向独立开发者和初创团队的多平台社交媒体管理工具,通过一站式仪表盘、智能定时发布和AI内容助手,解决了用户在多平台运营中面临的工具繁琐、成本高昂的核心痛点。
Productivity Social Media Marketing
社交媒体管理 多平台发布 智能排期 AI内容生成 SaaS 创作者工具 初创企业 性价比 API集成 自动化
用户评论摘要:用户普遍认可其针对小团队/个人的定价及对Bluesky等新兴平台的支持。核心关切点包括:免费版功能限制、自动排期算法的透明度与可定制性、平台集成可靠性(如失败处理机制),以及对TikTok/YouTube等平台即将上线的期待。
AI 锐评

Cue切入的是一个看似红海但实则存在结构性机会的市场。其真正的价值并非功能创新——多平台调度、AI助手、API集成在竞品中均不鲜见——而在于精准的“价值工程”定位:为价格敏感且需求明确的创作者和微型企业,提供一份功能足够、价格克制的“简约版”解决方案。

从评论看,用户对“公平定价”的共鸣远超对AI等炫酷功能的惊叹,这印证了其市场切入点的准确性。然而,产品面临的深层挑战也已浮现:其一,技术债风险。评论中关于API失败处理、执行追溯等专业提问,直指社交媒体管理工具作为“复杂系统集成者”的核心命门——可靠性。仅靠作业队列和重试机制,在应对多平台API的频繁变动与不稳定时是否足够,将决定其能否从“能用”走向“可靠”。其二,功能差异化薄弱。智能排期基于通用数据,缺乏账户级个性化,这使其在核心自动化体验上难以构建壁垒。其三,增长悖论。为控制成本而限制免费版的AI和API功能,虽合乎商业逻辑,却也可能阻碍了最能体现其效率优势的功能传播,使其陷入与传统竞品单纯的价格比较中。

本质上,Cue是开发者自身痛点商业化的一个典型样本。其短期机会在于利用敏捷性和低定价收割对现有巨头不满的长尾用户;但长期生存,必须跨越从“解决自己问题”到“构建稳健商业产品”的鸿沟,在可靠性、数据智能和生态集成上建立真正的护城河,而非仅停留在价格优势。

查看原始信息
Cue
Manage all your social media from one dashboard. Schedule posts across 8 platforms, automatically pick the best times to post, and tailor content for each audience – without juggling multiple apps or paying enterprise prices. • X, Bluesky, Threads, LinkedIn, Instagram, and more • Auto-scheduling based on engagement patterns • Write once, customize per platform • AI assistant for captions and images • REST API + n8n workflows + MCP Built for creators and startups. Free to start.

Hey Product Hunt! 👋

I'm David, the maker of Cue.

This started over the Christmas holidays – I was building an app and needed to promote it across multiple social accounts. I looked at Buffer, Hootsuite, Later... they all worked, but pricing scaled fast once you needed more than 2-3 accounts. For a solo dev? Felt excessive.

So I built something for myself. Two weeks turned into four, and the tool I made to promote my side project became THE side project.

What Cue does:

📅 Schedule across 8 platforms – Twitter/X, Bluesky, Threads, Mastodon, LinkedIn, Instagram, Facebook (TikTok, Pinterest & YouTube coming soon)

🎯 Auto-scheduling – Picks optimal posting times based on engagement patterns

✍️ Write once, customize per platform – Tailor your message for each audience, schedule everywhere

🤖 AI assistant – Help with writing captions and creating images

🔌 Full REST API – Build your own integrations

n8n workflows – For automation power users

🧠 MCP integration – Schedule posts directly from AI assistants like Claude

It's free to get started, and I'm offering early supporters 50% off paid plans for the first 3 months.

Questions for the community
1. What features matter most to you?
2. What would make you switch from your current tool?

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@dparrelli This a very useful tool. Love it. For me it’s simple, fair pricing for solo devs and an easy write-once, customize-per-platform flow. So in the future, users will be able to view and respond to replies from all platforms in one place as well?

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Congrats on the launch! Playing with it now! LOVE the idea!

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@felicitemoorman Thanks so much, seriously means a lot! Let me know if you have any questions while exploring.

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Congrats on the launch — Cue’s multi‑platform, AI‑powered scheduling feels perfect for lean teams and creators.​

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@zeiki_yu Thanks Zeiki, really appreciate it. That's exactly who we built it for 🙌

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Haha, the classic pricing was so bad I built my own tool story! Totally feel u on that. Support for Bluesky and Threads is a huge W, most old tools still ignore them. Congrats on the launch! Is there a limit on how many accounts we can connect in the free version?

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@eugene_chernyak Thanks Eugene! Yeah the pricing pain was real haha. The free plan lets you connect up to 2 social accounts. Hopefully enough to get a feel for everything.

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Congrats on the launch! Cue feels thoughtfully built for people who want real control without enterprise pricing bloat. I like the mix of auto-scheduling + per-platform customization without forcing a rigid workflow. How transparent is the optimal time logic, can users see or override why certain time slots are chosen for each platform?

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@vik_sh Appreciate that, Viktor! Optimal times are per-platform, each one gets its own slot based on known engagement patterns. Custom time overrides are on the roadmap so you'll have more control soon!

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congrats on the launch! seems like a very great tool! also would like to know the main restrictions of the free version
and am really waiting for TikTok and YouTube :)

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@yellow_yetti Thanks Vera! Free plan gets you 2 social accounts, 15 posts/month, and access to all platforms including auto-scheduling. The main things you don't get: AI assistant, analytics, and API access — those start at Growth (need to manage those costs since they all incur additional costs internally).

TikTok has been built and works internally, just waiting on TikTok to approve our API access (takes a while). YouTube is partially built, hoping to launch it soon!

If you have ideas on what you'd want in a YouTube implementation, I'd love to hear it!

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Really interested in this! I’ve used Hootsuite in the past, but found it to feel a bit outdated and clunky for my needs.

Do you happen to have any blog posts or comparisons between Cue and other social media managers like Hootsuite or Buffer? I’d love to better understand how you differentiate and where Cue really shines.

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@jake_friedberg Thanks Jake! We actually have comparison pages for both Hootsuite and Buffer on our site. They're great tools, but they get expensive fast as you scale or add more accounts. We built Cue to be more affordable whilst trying to maintain similar feature-parity.

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Congrats on your launch! Wishing you the best :)

How are you handling the auto-scheduling logic (engagement pattern analysis per account/platform) and integrations with harder ones like Bluesky/Threads? Any details on the AI models powering the caption/image generation?

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Thanks for the message! Auto-scheduling is per-platform, each one gets its own optimal time based on known engagement patterns. Bluesky and Threads were pretty smooth to integrate since their APIs are pretty developer-friendly. For AI, we use GPT-5 mini for captions and Flux/Nano Banana Pro for image generation. Looking to extend this further soon.

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Hey David! It sounds super cool. Is there a trial or something similar? Would love to try it out!

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@german_merlo1 Hey Germán! Indeed, there's a free plan you can use to try everything out, totally free/no credit card needed. Would love to hear what you think!

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The feature that automatically selects the optimal posting times is incredibly appealing, saving a great deal of research time. How well do the algorithm-recommended "optimal times" align with the actual historical high-engagement periods of our accounts? And is it possible to customize or fine-tune these recommendation rules?

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@seeu_dazee The optimal times are based on general platform engagement data right now. Custom time preferences are on the roadmap so you'll be able to set your own preferred posting windows soon!

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Congrats! Compelling pricing. When are you planning TikTok?

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@daniele_packard Thanks! TikTok is actually built and working internally, just waiting on API access approval from TikTok. Hopefully not too much longer.

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Hey, looks great! Love your brand name and style.

What features matter most to you?

If content curation was integrated to the platform, that'd be fantastic!

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@alina_petrova3 Thanks Alina! We have content curation through the AI assistant currently - it can generate captions and images for you. Still early stages but we're revamping it soon to make it even better.

If you have ideas on your ideal content curation flow, would love to hear it!

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Scheduling across 8 platforms hits scale pain fast: OAuth token churn, per-platform rate limits, and idempotency issues that create duplicate posts when retries happen.

Best practice is a platform-adapter layer with a durable job queue, per-destination idempotency keys, webhook-based status reconciliation, and an audit log that can replay or cancel safely.

Do you expose a per-post execution trace (API request IDs, retry history) and support “single source of truth” edits that propagate to already-scheduled variants without breaking platform-specific constraints?

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@ryan_thill We use a job queue system with retry logic and idempotency handling to prevent duplicates. Users get notifications if something fails and can see post status in their dashboard. We don't expose full execution traces yet but that's solid feedback, will add it to the list.

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Nice, love to see more tools built for the smaller teams and the solo devs. That's what I'm all about. As someone who doesn't do social media but also understands it's value when it comes to running a business - stuff like this with ai to help get what im thinking out and on paper is key. Do you have any plans of building out features that let you help craft your own "voice" across the platforms that ai can evolve from? That way each users experience turns into "their own"

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@imamkevin Thanks Kevin, that's exactly who we built this for! And yes, we have brand voice built in already. You just enter your website and we extract your tone, style, and messaging automatically. The AI then uses that across all your content. Brand voice and AI assistant are early-stage at the moment, hopefully evolve these features as more people use the app and provide their ideas and feedback. Appreciate the support!

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Reliability is the make-or-break factor in scheduling: what have you built to prevent/handle failures (disconnects, API issues, partial publishes), and how do users get visibility (alerts, logs, retries) when something goes wrong?
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@curiouskitty Great question! Every post goes through a job queue on Cloudflare with automatic retries and idempotency handling to prevent duplicates. We publish each platform independently, so if one fails, the others stay published and the failed one retries on its own. Tokens refresh automatically, and you get real-time updates in the UI plus email alerts if something breaks with an option to retry (or re-connect your account if we cannot reconnect on our end). Hope that answers your questions :)

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Big kudos for building your own thing when what was already available didn't fit your requirements. Congrats on the launch as well!

0
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#4
JDoodle.ai 2.0
Clone websites and Figma designs into editable sites
228
一句话介绍:JDoodle.ai 2.0 允许用户通过输入网址或上传设计图,一键克隆生成可编辑的网站,为无代码开发者和创业者提供了从参考灵感快速启动项目的解决方案,解决了从零开始构建的效率和门槛问题。
Website Builder No-Code Vibe coding
无代码开发 AI建站 网站克隆 设计转代码 Figma转网站 快速原型 全栈平台 按需付费 内置数据库 AI调试
用户评论摘要:用户肯定产品对非技术人员的易用性和“克隆”起点的价值。主要问题集中在技术栈是否仅限React、对动态/受保护页面的处理能力、生成网站的托管细节、内置数据库的可替换性,以及视觉品牌能否匹配产品定位。开发者回应积极,解释了技术选型和局限性。
AI 锐评

JDoodle.ai 2.0 的叙事从“又一个AI代码生成器”巧妙转向了“以参考为起点”的创作范式,这精准击中了非技术用户(如创业者、产品经理)最真实的痛点:他们并非没有想法,而是卡在将参考物转化为可编辑原型的“第一公里”。其宣称的“克隆”能力,本质是试图用AI打通从视觉输入到结构化代码的逆向工程链路,这是其核心价值主张。

然而,产品面临几重尖锐挑战。其一,技术天花板明显。从团队回复可知,其对动态应用(SPA)的处理尚可,但受权限保护的页面无能为力,这暴露了其“克隆”能力严重依赖公开可抓取的前端代码和图像识别,对于复杂交互逻辑和私有设计的还原度存疑。其二,生态锁定风险。尽管团队表示可替换数据库,但“React优先”的策略和全栈托管模式,在赋予用户便捷的同时,也构建了温和的“围墙花园”,用户为简便付出的代价可能是未来迁移的成本。其三,从评论反馈的“品牌视觉不匹配”问题,折射出产品在体验深度与市场感知上可能存在割裂——一个旨在提供“高级感”和“速度感”的工具,其门面却未能有效传达这一点,这会影响初始信任的建立。

真正的考验在于,它能否超越“生成静态样板”的层面,进化成一个能理解业务逻辑、处理真实数据的“活”应用构建平台。其内置的AI调试和按需付费信用体系是聪明的商业模式,但前提是生成物的质量足够高,以至于用户愿意持续为其迭代和托管付费。否则,它可能仅停留在“惊艳五分钟”的快速原型工具阶段,难以形成用户粘性和真正的商业壁垒。它的成功,不取决于AI生成代码的炫技,而取决于能否将非编码者的模糊意图,可靠、稳定地转化为可运行、可演进的数字产品。

查看原始信息
JDoodle.ai 2.0
See a website you like? Start from it. With JDoodle.ai, you can paste any website URL or upload an image or Figma design to instantly get an editable starting point. Change layouts, tweak styles, and build on real references without starting from scratch or touching code. Every project includes a built-in database, automatic free bug fixes, and pay-as-you-go credits so you only pay for what you use. A faster, simpler way to launch.

Hey everyone,

In our mission to make building software simple and fast, now especially for non-coders.

One thing we kept noticing is that non coders rarely start from scratch. They start with references.
“Something like this website.”
“Something that looks like this image.”

So we asked ourselves, why not make that the starting point?

With this update to JDoodle.ai, you can 

  • clone a website design by pasting a URL

  • design from an image or screenshot, or 

  • start from a template and then build on top of it.

Just a faster, simpler way to get something editable and ready to launch.

This one is especially for non-coders, business owners, solo founders, and builders who want to improve or iterate on something that already exists.

We would love to hear how you usually start building and what would make vibe coding even simpler for you.

Try out Clone a Website and let us know how you go 🙌

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@gokuljd Congrats!! Great idea!! but hey, what’s the first thing people try to change after cloning, layout, copy, or interactions, and where do non-coders usually get stuck once they move past the “wow, it looks right” moment?

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Good product 😀

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@aashu0148 Thanks
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Congrats on the launch — love how JDoodle.ai makes full‑stack app building truly accessible for non‑coders.​

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@zeiki_yu Thanks Zeiki.

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Congrats.. very cool product 🔥🔥
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@dessignnet Thanks Marios

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Why only React? It would be a major selling feature (for me at least) to offer alternatives to React. I could use free and better services that offer the same as currently available.
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@mackenzie_carr_mackie_ React because most LLMs perform better with that. Which alternative are you looking for?

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URL/screenshot-to-site products often fail on crawling, dynamic SPAs, or protected pages—how do you handle failures so users don’t waste time/credits, and what did you learn about the most common failure modes from early users?
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@curiouskitty Thanks, Curious. In our testing, dynamic sites work, but the problem is protected pages; unfortunately, we can't do much about them. The user can upload a screenshot of the protected pages and ask the AI to build something similar.

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Cool product, what kind of hosting setup does JDoodle provide?

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@eric_nodeops Thanks Eric, all Frontend, backend and DB hosted by us.

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This is awesome, I’ve built a lot of websites, and I strongly believe each one should feel unique and tailored to its purpose.

There have been so many times when I wanted to pull specific elements from different websites to use in something I’m working on. But instead, I’d find myself digging through component libraries, trying to find something “close enough,” and then spending time customizing it to match my vision.

This streamlines that entire process. Being able to mix and match existing design elements without all the searching and rework will be a huge time-saver and lead to better results.

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@jake_friedberg Thanks Jake, you can just upload the screenshot of what you like, JDoodle.ai will integrate a similar component to the site. Let me know how you go with this.

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Congrats team!!

Are you leveraging a custom multi-agent setup, specific LLMs/fine-tunes, or something like React/Node for runtime previews? Super curious about how the free bug fixes work without charging credits, that's a killer feature!

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@cathcorm Thanks, Catherine. It is a multi-agent system with multiple LLMs. This uses React frontend and Python backend. The agent not only develops the app but also tests it before showing the preview to the user. When testing, it identifies most technical issues and fixes them for free.

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Can it also adapt layouts for mobile and different screen sizes automatically?

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@abod_rehman Thanks Abdul. Yes, it does.
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It integrates databases, hosting, and AI debugging, promising to cover the entire journey from development to deployment on a single platform. In practice, is the end-to-end process truly seamless—from writing front-end code to connecting back-end services and finally publishing to production? Or are there still breakpoints that require platform jumps or manual configurations in between?

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@seeu_dazee Hi Chen, the whole idea is to make the end-to-end process so simple, so non-technical users also can use it. No need to jump between platforms, you can develop and host in single platform. Please give a try and share your feedback.

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built-in database is a big plus for a "vibe" builder. can i easily swap it out for something like supabase later if i need to scale?

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@samet_sezer yes Sameet, it comes with a backend, so you can switch to Supabase.

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I checked out JDoodle.ai — amazing work enabling founders to build apps and pages in minutes with AI congrats on the progress!

One thing I noticed is that the visual identity (logo + brand design) doesn’t fully reflect the product’s velocity, sophistication, and premium positioning — especially for users discovering you on Product Hunt or social platforms. This can subtly reduce trust and conversions before people even try the tool.

Would it be helpful if I shared a quick Loom with ideas for elevating JDoodle.ai’s logo & visual identity?

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Nice idea! Where is the generated website hosted, and what’s the default database size included?

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@manoj_babu6 Thanks Manoj, Hosted in our own service itself. Just click the "publish" button, all taken care for you.

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Cool! Includes database? Pretty powerful

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@daniele_packard Thanks, Daniel. Yes, it has a built-in backend and database for each project.

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AI influencer can work, but only if it’s niche-first + workflow-first (e.g., daily shorts for realtors/fitness coaches) — “generic avatar app” retention is brutal.

I’d bet on deep personalization (voice/style memory, brand kit, consistent character bible) + 1-click distribution (scripts→video→auto-post + analytics).

What niche + repeatable job-to-be-done are you anchoring on, and how will you prove week-4 retention?

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Nice idea, but don't sure about ethical side of cloning someone else work...

It can be problems with copyrights too

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@nikensm Hi Nikita, it's not about copying others' work. This will be useful if you have an old site and want to build a new, modern one from it, or you like some design and want to build something inspired by it.

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#5
PingPolls v1.0
AI Forms that feel natural, not just conversational.
159
一句话介绍:PingPolls 是一款将传统表单转化为自然聊天界面的AI工具,通过对话式UI和语音输入,在用户调研、反馈收集等场景中显著提升填写完成率和回答质量,解决了传统表单枯燥、填写率低的痛点。
Marketing SaaS Artificial Intelligence
表单工具 用户调研 聊天式交互 语音输入 AI分析 数据收集 体验优化 产品反馈 市场研究 互动问卷
用户评论摘要:用户普遍赞赏其聊天式交互和语音输入能提升填写意愿与体验。主要问题与建议集中在:语音笔记是否支持批量转录与原始音频存储、分支逻辑与自适应流程的完善、中途退出是否保存进度、以及未来集成(如Webhook、谷歌表格)和单题分析功能的规划。
AI 锐评

PingPolls 的本质并非简单的UI美化,而是一次对数据收集底层逻辑的重构。它敏锐地抓住了“表单疲劳”这一核心痛点,用高仿真的聊天环境降低用户的认知负担和心理门槛,其价值在于通过提升受访者体验来反向保证数据采集的量和质。语音输入功能是其在移动场景下的关键洞察,直击“懒于打字”的用户惰性。

然而,其宣称的“深度”面临考验。其一,Chat式UI与“Certiscore™”科学方法的结合略显突兀。前者追求自然随性的对话流,后者依赖严谨的对比和反应时间数据,两种体验如何在用户无感中无缝融合,而非造成体验割裂,是产品设计上的巨大挑战。其二,从评论看,团队在功能优先级上存在摇摆(如曾移除与AI澄清问题的功能),且当前语音处理、分支逻辑等基础设施仍显稚嫩,这与其想要服务的、需要“快速获取信号”的严肃创新者和团队之间存在一定差距。

真正的护城河或许不在于“聊天形式”,而在于后续的“Ask AI”如何将收集到的非结构化数据(尤其是语音)转化为真正可行动的洞察。如果其AI分析仅停留在表面总结,而无法与独特的交互数据(如配对选择时的犹豫时间)深度融合,那么它最终可能只是一个“更友好的Typeform”,而非颠覆性的决策智能工具。它的成功,将取决于能否在“趣味性前端”与“严谨性后端”之间找到那个精妙的平衡点。

查看原始信息
PingPolls v1.0
Forms feel like paperwork. PingPolls makes them feel like a chat. We replaced stiff inputs with a natural messaging UI and AI voice notes to boost response rates. Includes Certiscore™ for deep preference analysis and 'Ask AI' to chat with your results instead of reading spreadsheets.
Hey Product Hunt! 👋 We are back! It is Azvya and Potato here. Since our last launch, we have been heads-down building, breaking things, and rebuilding. Here's the truth: we realized that making forms 'pretty' or 'simple' wasn't enough. Even a pretty form still feels like paperwork. We decided to scrap the old approach. We wanted data collection to feel like chatting with a friend on WhatsApp, not filing a tax return. So, here is what PingPolls v1.0 is all about: 1. It is a chat, not a form. We adopted the chat-style UI of LLMs and messaging apps. It feels natural, lowers cognitive load, and actually gets people to finish their sentences. 2. Voice is the new text. Typing on mobile sucks. We added AI voice note inputs so your users can just talk to you. 3. Stop reading spreadsheets. We integrated AI features that help you decide, not just collect data. You can now literally 'Ask AI' questions about your results to find patterns instantly. 4. The Certiscore™ method. We kept the math that made us special. Our pairwise comparison and reaction-time logic (Certiscore™) is still running under the hood to give you certainty, not just noise. We are building this for innovators, indie makers, and teams who need signals fast. We would love for you to try it out. Break it, test the voice notes, and tell us what you hate. We are building this together with you, so every piece of feedback helps us shape the next sprint. Let us know what you think in the comments! 👇
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Congrats! Have you seen people use this to get product feedback? Especially with voice notes could be helpful

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@daniele_packard Thanks! A local private university has used PingPolls to get feedback from their students. We haven't seen enough people use this to get product feedback, but we've definitely optimized PingPolls for that. We're confident that more users will use this to do market research soon.

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This kills the homework-form vibe. Chat + voice notes feels right. Could get my mom to actually finish. Curious how it handles long answers and skips, and whether Certiscore is explainable. "Ask AI" to sift results sounds handy.

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@alexcloudstar Haha, you know what? The first person I tested to validate this app was actually my mom 🤣 and yeah, she approved!
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For respondents, being able to reply via text or voice feels just like using a social app—ultra-natural, and it drastically eases the pressure of facing a "wall of questions". I wonder: if a respondent exits midway and reopens the form later, will the chat progress be automatically saved and restored, so they don’t have to start all over again?

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@seeu_dazee You're absolutely right. PingPolls does save each device's chat progress, so users can exit forms freely and continue answering later. You can check this feature yourself by opening our live example on our landing page!

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voice notes are a huge unlock for feedback people are way too lazy to type long answers on mobile. does the AI transcribe and tag the audio automatically so i don't have to listen to them all?

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@samet_sezer That's actually spot on. We store it securely in Cloudflare R2 (S3). The audio files are auto-transcribed through our LLM provider, so the form owners can only read the transcriptions themselves.

I wonder if form owners would require listening directly to the audio files, though. While auto-transcript helps surveyors analyze hundreds of data quicker, some research may require listening directly. What do you think?

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I particularly like the idea of surfacing an AI bot to the user to help them fill in the form quickly, especially the voice part could convince me to fill in a form that I usually might not. I'm wondering: are all the questions shown at once in the AI mode? To me it would make the most sense if I can answer all the questions in a single voice note.

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@wilco_kruijer1 Hi, thanks for stopping by. Currently, a form's questions are shown one-by-one to simulate chats people usually see in WhatsApp and ChatGPT, and each voice note can only answer one open-ended question with a long paragraph answer. For other types of questions, like multiple choice or rankings, users tap/click buttons instead.

We had an idea to answer multiple questions with a voice note, but we prioritized other features instead and only implemented voice notes on long paragraph answer questions, which we thought was the type of question that definitely needed an easier and quicker way of answering. We may reconsider this if it's highly requested.

There's a live example over on our landing page where you can try filling one of our example surveys. Please check it out!

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This app is so cute, ahah great launch to you guys!

How's the backend handling voice processing/transcription (e.g., which STT provider or models are you using?) and how are you managing branching logic/adaptive questions in the chat flow?

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@cathcorm Thanks Catherine! yeah we ended up choosing Neo Brutalism in this case 😁

For voice processing, we're using gemini for now. it works well for our current needs, but we're likely to move to openai whisper in the future since it handles expressions and different speech speeds more reliably.

For branching logic, at the moment we use a drag-and-drop logic editor that you can configure in the branch settings while building the form. It's functional but definitely an area we want to improve, especially to make adaptive flows more expressive and easier to reason about.

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Congrats on the launch! Love how PingPolls turns “form fatigue” into chat‑native, insight‑rich surveys that people actually finish.

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PingPolls’ “chat-first form + voice notes” + Certiscore™ (pairwise + reaction-time) is a smart way to reduce drop-off while still getting signal. How are you handling voice notes—streaming ASR with timestamps, or batch transcription—and do you store raw audio or only derived text? We dealt with similar “qual + quant” collection at scale and the data model matters more than the UI. Roadmap-wise, are you adding webhooks/CRM exports + per-question analytics? 👏

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@ryan_thill thanks, appreciate that 👏

Right now we transcribe each voice note directly into raw text. even though our llm provider supports ASR timestamps, we intentionally skip them for now to keep things easy to read, since voice notes are mainly used inside paragraph-type inputs rather than as standalone audio data.

For the current sprint (around the next 2 weeks), we're trying to squeeze in the two most requested integrations first: google sheets and webhooks. moving pretty fast on that front hehe.

Also curious, when you say per-question analytics, what kind of metrics are you referring to?

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The most playful design I have ever seen lately. It should be a part of some meetups, conferences and hackathons for spare time. :)

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@busmark_w_nika Glad you like it! We went with a Neo-Brutalism design because I found it helps me focus more on clear actions and usability. Taking it to a meetup sounds like a great next step. I'm definitely open to that 😯
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this is nice. one useful use case, which I'm not sure yet if its supported, is that I don't have to answer a form question immediately and I can chat with AI back and fourth to understand what the question is about more accurately if there is some confusion in it.

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@obadakhalili thanks man, we used to have this feature previously but we decided to remove it for this launch because Im still not sure if that needed or not. we might reconsider it in our next iteration 😅😅
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This is pretty fun, most forms just have the same look and feel - I'm curious if you notice a better more honest quality of answers by changing the design of the forms? Was a lack of honest or in depth answers a problem you've noticed before that you are attempting to address?

I've saved this project to my collections to use in the future when I'm ready to create my next form.

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This innovative format will likely work wonderfully for younger or tech-savvy audiences. For a broader or older user base, will they need additional guidance or instructions to adapt to this "form that doesn’t look like a form"? As a creator, how should I explain how to use it to my own users?

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Certiscore sounds like the boss fight of data science. But in a good way :D

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@abod_rehman Thanks brother, we're experimenting with this approach, taking the "this or that" format people usually see on tiktok or reels and bringing it to the next level in a more scientific way

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You’ve definitely made creating and filling out forma a lot more enjoyable and fun! - Love the playful branding as well @azvyae 🏓
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@asadatnoodle Thanks a lot, asad! really appreciate the kind words 🙌

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When someone is already using Typeform/Tally/Jotform/Google Forms, what’s the strongest “switching trigger” you’ve seen in practice—pricing, mobile drop-off, richer qualitative input, Certiscore™ certainty, or AI insights—and what does the migration path look like?
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#6
Screentell
A in-browser screen recorder featuring cinematic 3D effects
149
一句话介绍:一款无需安装的浏览器内屏幕录制工具,通过一键添加电影级3D镜头效果和标注,解决了用户在制作产品演示、教程视频时,需要跨多个复杂软件才能实现专业效果的痛点。
Design Tools Productivity Marketing
屏幕录制 视频编辑 浏览器应用 零安装 3D特效 产品演示 教程制作 SaaS 效率工具 用户体验
用户评论摘要:用户普遍认可其“零安装”和3D效果的差异化价值。主要建议包括:免费版提供少量无水印导出以促进传播、增加模板功能、优化低端设备性能。创始人积极回应,并探讨了技术实现与功能路线图。
AI 锐评

Screentell 精准切入了一个被“专业软件”和“简陋工具”撕裂的市场缝隙。它的真正价值并非仅仅是“在浏览器里做录屏”,而在于将“电影级”视觉语言的成本降至近乎为零。通过将复杂的3D镜头运动简化为点击即得的操作,它实际上是在对“专业感”进行民主化分发,让产品经理、创作者也能轻松生产出具有高信任溢价和注意力的内容。

然而,其面临的深层挑战也清晰可见。首先,技术天花板受制于浏览器性能,评论中提及的低端设备音画同步问题只是开始,更复杂的特效与实时预览对Web技术的挑战将持续存在。其次,其“简单易用”的定位与用户日益增长的功能需求(如模板、光标平滑、自动章节)之间存在天然矛盾,产品如何在不臃肿的前提下优雅扩展,将考验团队的定力。最后,其商业模式依赖“专业感”输出,但最愿为此付费的B端用户,往往对素材版权、品牌一致性(自定义模板)有更高要求,这与其目前轻量化的工具形态存在一定距离。

总体而言,Screentell 是一次出色的概念验证,证明了在浏览器中提供沉浸式视觉叙事工具的可行性。但它能否从一个惊艳的“玩具”成长为一个可持续的“生产力平台”,关键在于能否在保持核心体验魔法般简单的同时,构建起满足进阶工作流的、坚实而克制的功能骨架。

查看原始信息
Screentell
Are your product demos looking flat and boring? 🥱 Creating studio-quality tutorials usually means juggling heavy software and complex timelines just to get a simple video. Screentell changes that by combining everything into one seamless browser tab. ☁️ Zero Install: Runs entirely in browser, cross-platform. 🎬 Cinematic Polish: Instantly add stunning 3D effects and sticker annotations. ⚡️ All-in-One Flow: Simple Record → Edit → Export workflow. check more feature details in the comments below.

Hi, Hunters👋 I’m Shawn, founder of Screentell.

I’ve been working on a screen recorder I built to solve my own pain points: https://screentell.com/


The idea was to have a simple record → edit → export flow in one place, without juggling multiple tools. It includes cinematic 3D camera effects and basic stickers for annotations.

On the homepage, I included a few demo videos that introduce Screentell, and all of them were recorded using Screentell itself. Compared to more common focus zoom effects, I personally feel that 3D focus is much better at grabbing attention and making the demo feel more engaging.

Everything runs entirely in the browser, so there’s nothing to install and it works cross-platform.

I tried to keep the feature set balanced—covering the essentials without adding too much complexity.

I’ve been using it myself for a while now, and it’s made my recording workflow noticeably smoother.

👶 Who it’s for (roughly)

If you’re:
recording product demos
making short tutorials / onboarding clips
creating quick social content around your app or workflow
…and you don’t want to install heavy software or learn a complex timeline editor, this might be useful.


Feature Details:


If you do screen recordings often, I’d love to know:

What’s the most annoying part of your current workflow?
What’s the one thing your current tool still doesn’t do well?

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@shawnhacks This feels well-positioned for people who care more about communication than production polish. Curious if early users are mostly product teams or solo creators so far.

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nice work! the 3d focus effect looks really smooth.

quick question : the free plan says unlimited recordings but exports are watermarked. since there's no heavy backend processing, costs should be low, right? giving free users 2-3 watermark-free exports per month could drive more organic sharing and naturally convert serious users to pro.

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@topfuelauto Thanks for the kind words! Glad you liked the 3D focus effect—I spent quite a bit of time polishing that. :)

Regarding the exports: That’s a very solid point. You're right—allowing a few watermark-free exports could definitely act as a "taster" and boost organic word-of-mouth.

Since I’m still in the early stages of gathering feedback, I’m seriously considering adjusting this. It’s a great way to balance costs and growth. Thanks for the insight!

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Really a solid way to make users to stay.

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This will be perfect for my YouTube channel! Do you plan on adding templates we can use? It was hard to set everything up myself. It would be nice if we upload our video and it will automatically add all the effects.

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@kenneth_fong3 That’s fantastic to hear and Thank you so much for the support! Using Screentell for YouTube is exactly the kind of use case I envisioned.

I’m definitely thinking about the best way to handle templates. Since every video is unique, a 'one-size-fits-all' template is tricky, but I’ve got two rough ideas that aren’t mature yet:

  1. Preset Library: Adding a set of built-in, ready-to-use 3D effects and layouts that you can apply with one click.

  2. Custom Templates: Allowing you to save your own edited effects/settings as a template so you can reuse your 'signature look' across all your videos.

I’m currently gathering specific requirements to prioritize these features. Since you're a YouTuber, I’d love to hear more: What’s the one repetitive task that takes you the most time to set up right now?

Your feedback will help me shape the roadmap for templates!

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The “record → edit → export in one browser tab” + cinematic 3D camera moves is a clever differentiator vs the usual zoom/pan. Are you building the 3D focus in WebGL/Three.js and compositing with WebCodecs/Canvas, or exporting via ffmpeg.wasm?
We dealt with similar browser media pipelines at scale and the real pain was latency + keeping audio/video sync stable across devices.
Any plans for auto chapters + cursor smoothing presets? 🔥

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@ryan_thill You nailed it! That’s exactly how it works. For exporting, I’m using mediabunny for a more lightweight transcoding process.

You’re spot on about the pain points—I’ve noticed that on lower-end devices, keeping A/V sync stable can be a challenge. It works like a charm on machines with decent specs, but bridging that gap across all devices is definitely on my radar.

Regarding your feature questions:

  1. Cursor smoothing presets: I’m definitely considering this! It’s on the roadmap, though I don’t have a fixed ETA just yet.

  2. Auto chapters: I’d love to hear more about your vision for this. Are you thinking AI-generated based on audio/content, or something else? I'd appreciate it if you could expand on that!

Currently, I support basic trimming via handles on the timeline, allowing users to export specific segments multiple times.

Since you've handled these pipelines at scale, I’d love to learn more from your experience if you’re open to it!

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Running entirely in the browser while keeping that cinematic quality is a massive technical feat. 'Zero Install' is a huge selling point for anyone tired of heavy editing software.

Upvoted! Full support from the Dashform team. Let's keep in touch and help each other grow!

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@openaigpt5 Thank you so much for the support! 🚀

You're absolutely right—making everything happen in the browser while maintaining that cinematic quality was the biggest challenge. But keeping it "Zero Install" is something I didn't want to compromise on for the user experience.

Huge thanks to the Dashform team! Let’s definitely stay in touch and support each other's growth. 👊

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Your core hook is cinematic 3D camera movement rather than the typical 2D zoom/focus. In practice, when does 3D meaningfully outperform classic zoom (attention, comprehension, conversion), and when is it overkill?
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@curiouskitty That’s a brilliant question. You're right—it’s not just about 'looking cool,' it's about how our brains process movement.

When 3D outperforms classic 2D zoom:

  1. Spatial Context & Focus: 2D zoom can sometimes feel 'jarring' because it abruptly crops the context. 3D movement mimics a natural eye or camera pivot, which helps the viewer maintain a mental map of the interface while their attention is guided.

  2. High-Stakes Conversion: For product launches or landing page demos, 3D adds a 'premium' feel that builds trust. It signals that the product is high-quality before the user even tries it.

  3. Complexity Simplification: When explaining a multi-step workflow, the 'dynamic perspective' helps break the monotony of a flat screen, keeping the viewer’s attention longer (higher retention).

When is it overkill? It’s definitely overkill for a quick 1:1 bug report or a internal 'look at this' memo. In those cases, you want zero friction and maximum speed.

I built Screentell to bridge the gap. I wanted to give users 'Studio-level' output with 'Quick-memo' effort. If you need it to be simple, it stays simple; but when you need to impress, the 3D power is right there.

Would love to hear if you’ve found classic 2D zooms lacking in your own workflows!

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Great work! How much time did you spent building this?

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@jeet_soni Thanks! It took me about one month from the first line of code to this launch.

I actually managed to get the core MVP up and running quite quickly, but the majority of that time was spent polishing the details—fine-tuning the 3D camera transitions, optimizing the browser-side export, and ensuring the UI felt 'snappy.'

In my experience, the last 20% of the details always takes 80% of the effort, but it’s what makes the tool feel professional. Glad you noticed the work!

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As a purely web-based application, how dependent is it on network stability? Will the recording and editing experience be severely affected in a weak network environment? Meanwhile, does it perform consistently and stably across different browsers (e.g., Chrome, Safari, Edge)?

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@new_user___019202600911c8682f619bb Great questions!

1. Network Dependency: Screentell is designed to be highly independent. Since the recording and editing processes happen locally in your browser, it doesn't rely on your upload speed or network stability while you work. As long as you can load the website, you’re good to go. Even in a weak network environment, your recording and editing experience will remain smooth and lag-free.

2. Browser Compatibility: We’ve conducted extensive testing across all major modern browsers, including Chrome, Edge, Brave, and Safari.

While it performs stably across the board, we recommend using Chromium-based browsers (like Chrome or Edge) for the absolute best performance.

It’s effectively a 'local app' that lives in your tab. Feel free to give it a try—you'll find the offline-like responsiveness quite refreshing!

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How is the video quality and clarity of the final export, and can it meet the requirements of professional scenarios (e.g., official websites, product launches)? Are the supported output formats and resolution options sufficient, and can they be easily adapted to different platforms (e.g., social media, document embedding)?

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@ironliuyi Great questions! Let me break down the specs to give you a clearer picture of the quality you can expect:

1. Recording & Export Resolution:

  • Recording: We capture at Quad HD (2560×1440) to ensure every pixel of your UI is crisp.

  • Export: You can choose from 480p up to 4K. We provide three quality tiers for bitrates: High (10Mbps), Medium (6Mbps), and Low (2.5Mbps). This gives you total control over the balance between file size and professional clarity.

2. Formats & Compatibility: Screentell is highly versatile for different platforms:

  • MP4: Supports AVC (avc1/avc3) and HEVC encoding—perfect for high-end product launches and official sites.

  • WebM: Supports VP8 and VP9 encoding for web-native performance.

  • GIF: We also support GIF export, which is a lifesaver for quick demos on Twitter/X or GitHub readmes.

3. Pro Scenarios: All the demo videos on our landing page were produced this way. Whether you're embedding a video into a technical doc or posting a 'cinematic' update on social media, the combination of high-bitrate MP4 and our 3D effects makes the output look studio-grade.

I'd love for you to try an export and see the results for yourself. Let me know what you think!

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The core promise of one-stop recording, editing and exporting is compelling. In practice, is the transition truly seamless from finishing recording to entering the editing interface? Are editing features (e.g., adding 3D effects, stickers) responsive, and is there any lag throughout the entire process?

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@seeu_dazee Great questions! From my own testing and daily use, the transition is very smooth.

Regarding responsiveness: the editing features like 3D effects and stickers feel very snappy. I like to think of it this way—it’s similar to running a 3D game. On a machine with decent specs, the experience is buttery smooth. You might only notice some lag on much older or very low-performance devices where the browser's hardware acceleration is limited.

But the best way to find out is to give it a spin! I’d love to hear how it performs on your setup. 🚀"

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#7
Reactive Resume v5
A free and open-source resume builder.
129
一句话介绍:一款免费开源的简历构建工具,通过简洁的编辑体验和强大的自定义功能,在求职者需要高效创建、更新及安全分享简历的场景下,解决了传统简历工具收费、隐私泄露和格式僵化的痛点。
Design Tools Open Source GitHub Career
开源工具 简历生成器 免费服务 隐私保护 自托管 多模板 ATS优化 多语言支持 用户自主 社区驱动
用户评论摘要:用户高度赞赏其开源、免费及隐私友好的理念,并认可其长期价值。主要反馈集中在:PDF导出因服务器负载可能失败;询问现有简历解析、ATS兼容性及重复使用的工作流优化;开发者回应了技术实现与运营挑战。
AI 锐评

Reactive Resume v5展现了一个开源个人项目在理想主义与现实约束间的典型张力。其核心价值并非技术颠覆,而是在一个高度商业化、充斥着订阅制和用户数据挖掘的赛道中,固执地充当一个“干净”的替代品。它精准切入用户“高频刚需、低频使用”且伴随强烈隐私焦虑的简历场景,用开源协议和自托管选项构建信任基石,这本身就是对主流SaaS模式的犀利批判。

然而,产品热度揭示的悖论在于:其倡导的“去中心化”自托管理想,与绝大多数用户对“开箱即用”免费服务的依赖之间存在根本冲突。评论中暴露的PDF导出故障,正是这一矛盾的直接体现——当百万级用户涌向一个由个人情怀和有限捐赠支撑的服务器时,服务的可靠性便成了最脆弱的环节。开发者坦诚“自掏腰包”和“资源饥渴”的回应,恰恰说明了在拒绝商业化的前提下,规模与体验难以兼得。

产品的迭代逻辑值得玩味:v5版本着重改善了用户体验、安全(2FA/Passkeys)和文档,甚至谨慎地引入了“自带密钥”的AI功能,这显示出项目在保持核心原则的同时,正试图向更主流、易用的方向演进,以扩大其影响力。但资深用户提出的关于ATS安全模式、模板沙箱及规模化渲染管线等尖锐问题,则指向了项目从“可用的开源替代品”迈向“专业级可靠基础设施”所需跨越的鸿沟。目前依赖人工审核PR和有限的基础设施,在规模持续增长下将面临严峻挑战。

本质上,Reactive Resume v5的成功,是价值观营销的成功。它证明了在市场中存在一群对隐私、所有权和“免费(如同自由)”有强烈偏好的用户。但其长期生存的钥匙,或许不在于功能的多寡,而在于能否在“纯粹开源”的理想与构建一个可持续的、甚至轻度商业化的支持体系之间,找到一个不至于背叛初心的平衡点。否则,它可能永远是一个令人尊敬却又偶尔令人沮丧的“美好项目”。

查看原始信息
Reactive Resume v5
A free and open-source resume builder that simplifies the process of creating, updating, and sharing your resume.

Introducing the all-new Reactive Resume v5,

the free and open-source resume builder you know and love!


This little side project of mine launched all the way back in 2021, at the height of the pandemic, and while I counted it to good timing back then, it wouldn't have lasted this long if there wasn't a real need from the community.

Since then, Reactive Resume has helped almost 1 million users create resumes, helped them get the careers they wanted and helped students jump-start their applications.

This new version has been in the making for months, I try to get time to work on it whenever there's a weekend, whenever I can physically pull an all-nighter after work. It's a culmination of everything I've learned over the years, fixing all the bugs and feature requests I've gotten through GitHub and my emails.

For those of you who are unaware of this project, and nor should you be, Reactive Resume is a free and open-source resume builder that focuses on completely free and untethered access to a tool most people need at some point in their life, without giving up your privacy and money. In a nutshell, it’s just a resume builder, nothing fancy, but no corners have been cut in providing the best user experience possible for the end user.

Here are some features I thought were worth highlighting:

  • Improved user experience, now easier than ever to keep your resume up-to-date.

  • Great for single page or multi-page resumes, or even long-form PDFs.

  • Easier self-hosting with examples on how to set it up on your server.

  • Immensely better documentation, to help guide users on how to use the project.

  • There’s some AI in there too, where you bring your own key, no subscriptions or paywalls. There's also an agent skill for those who want to try it out on their own.

  • Improved account security using 2FA or Passkeys, also add your own OAuth2/SSO provider (no more SSO tax!).

  • 13 resume templates, and many more to come. If you know React/Tailwind CSS, it’s very easy to build you own templates as well. Also supports Custom CSS, so you can make any template look exactly the way you like it to.

  • Available in multiple languages. If you know a second language and would love to help contribute translations, please head over to the docs to learn more.

  • Did I mention it’s free?

I sincerely hope you enjoy using the brand new edition of Reactive Resume almost as much as I had fun building it. Head over to https://rxresu.me and check it out right now.

If you’d like to know more about the app, head over to the docs at https://docs.rxresu.me/ or if you’d like to take a peek at the code, the GitHub Repository is at https://github.com/amruthpillai/reactive-resume.

Note: I do expect a lot of traffic on launch day and I don’t have the most powerful of servers, so if the app is slow or doesn’t load for you right now, please check back in later or the next day.

Thank you for coming to my TED Talk.

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@amruthpillai This is a rare example of open source done with real empathy for users. A resume is something people need at high-stress moments, and building a tool that’s free, private, self-hostable, and thoughtfully designed actually matters. Huge respect for sticking with it over the years, listening to feedback, and shipping a v5 that reflects real learning, not just feature creep.

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Congrats! Can it scrape existing pdf or linkedin resume?

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@daniele_packard yes, it can. You just have to add your preferred AI API key (stored locally) and you can leverage LLMs to read through the PDFs/DOCXs to parse them into the desired format.

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Love seeing open-source solutions in this space. Making professional resume building free and accessible is a huge service to the community.

Upvoted! Full support from the Dashform team. Let's keep in touch and help each other grow!

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Resumes are rarely one-and-done: people tailor per job, maintain multiple versions, and sometimes need different export formats for different application portals. What does an “ideal” repeat workflow look like in Reactive Resume v5 (versioning, variants, sharing links, exports), and where do you still see friction?
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@curiouskitty From a user side, having variants and shareable links already covers most real needs.

Versioning always gets tricky, but keeping things simple usually beats over-engineered workflows, especially for resumes

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Hello there! I have been very satisfied with XResume and have prepared many CVs using this platform. However, currently I am unable to download my resume as a PDF. The system gives an error during the PDF export process. I hope this issue can be resolved soon, as the platform is otherwise very useful and reliable. Can you help me please

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@kawthar_dogan it's because of excessive traffic and load on the server. It's important to keep in mind that this is a free, not for profit project, and the only way for sustained reliability is the project is sponsored by someone or some company that believes in the same vision of career opportunities for all. At the moment, we're not there yet, so apologies for the errors.

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@amruthpillai — Hitting ~1M users on an OSS resume builder is awesome; the scale pain is PDF rendering consistency + template safety (no layout drift) while keeping privacy-first defaults.

Best-practice: server-side queue for exports (idempotent jobs) + deterministic render pipeline (Playwright/Puppeteer) + strict template schema + automated visual-regression on every template change.

Open Q: are you planning an ATS-safe mode (fonts/spacing/semantic sections) and how do you sandbox community templates/custom CSS to prevent injection in shared resumes?

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@ryan_thill Scale is a huge issue for sure. I pay out of pocket for some of the infrastructure and sometimes it's subsidised by the donations the project gets through Open Collective, but it can get difficult to consistently render PDFs through Chrome. It's very resource hungry.

As for ATS safe, some templates are already optimized for ATS. I let the user know through labels on the templates. And as for community templates, there haven't been much so far, but I go through PRs manually to ensure there's no funny business going on. Custom CSS is completely sanitized and stripped of any external loading, so it's safe to use.

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#8
HeyTraders
Personal AI quant research & backtest with natural language
120
一句话介绍:一款面向加密货币市场的个人AI量化工具,允许用户使用自然语言生成交易策略并进行即时回测,解决了独立交易者缺乏专业量化基础设施的痛点。
Fintech Artificial Intelligence Cryptocurrency
AI量化交易 加密货币 自然语言策略生成 回测引擎 个人投资者工具 数据驱动决策 交易信号 金融科技 自动化交易 策略验证
用户评论摘要:用户关注产品路线图(自动执行、移动端)、回测真实性(手续费、滑点模拟、防未来函数)和数据安全。创始人详细回应了技术细节与规划,体现了对专业性质疑的重视。
AI 锐评

HeyTraders的核心理念并非创造新的AI交易圣杯,而是将AI降格为“翻译器”和“效率工具”,这或许是它最清醒的价值定位。它瞄准的痛点真实而尖锐:有想法的独立交易者被困在数据工程和基础设施的泥潭中。产品通过自然语言接口降低策略构建门槛,其真正壁垒在于创始人声称的“确定性协议”——将模糊的指令转化为可验证、无未来函数的回测代码,这试图弥合LLM的随机性与金融交易所需的绝对精确之间的鸿沟。

然而,其面临的质疑直指所有量化工具的命门:回测的“玩具性”。评论中关于滑点、手续费、订单簿深度的提问,揭示了专业用户对“干净”回测的不信任。团队对此有认知,给出了从固定成本参数到未来订单簿模拟的路线图,但关键在于执行。另一个潜在风险在于其“加密货币优先”的策略。加密市场高波动、短历史、受叙事驱动等特性,使得任何基于历史数据的回测外推风险陡增,这与产品强调的“数据驱动信心”存在内在张力。

长远看,其构想从工具演变为策略市场与组合管理平台,愿景宏大。但当前阶段,它更像一个专业的策略原型验证加速器。成功与否,不取决于AI是否更“智能”,而取决于其量化引擎是否足够“透明”和“严谨”,以赢得苛刻交易者的技术信任。它贩卖的不是“阿尔法”,而是生成和验证阿尔法的“时间”。

查看原始信息
HeyTraders
HeyTraders is a Personal AI Quant for crypto markets that translates natural language into verifiable trading strategies. Stop trading based on gut feelings and complex charts. Just talk to our agent to research trends, verify ideas with instant backtesting, and get data-driven confidence.

Hi Hunters! 👋 I’m Soonbeom, founder of HeyTraders.

The Story: I previously worked as a quantitative researcher at a crypto trading firm. Back then, I could focus on finding alpha because a dedicated engineering team handled the data and infrastructure.

But when I tried to trade my own strategies as an independent quant, I hit a wall. I spent 90% of my time building data pipelines and backtesting engines from scratch, and only 10% on actual trading. I realized: "Retail traders don't lack ideas. They lack the infrastructure."

The Solution: That’s why I built HeyTraders. It’s a Personal AI Quant that integrates research, backtesting, and validation into one conversation.

What you can do right now (MVP):

🔍 Ask Anything: "Why is Bitcoin moving today?" Our agent summarizes the key drivers.

📊 Verify Your Ideas: Just describe your strategy in plain English (e.g., "Buy ETH if RSI < 30"). We run the backtest and show you the win rate in seconds.

Roadmap (Coming Soon): 🚧 Automated Execution: Currently, we provide the trade signals and validation. Direct broker connection for auto-execution is our next priority.

📱 Mobile App: To receive real-time push notifications for the signals generated by your agent, download the app here

• iOS: https://apps.apple.com/app/id6754526355

• Android: https://play.google.com/store/apps/details?id=com.heytraders.mobile

Note: Your chat and strategies are fully encrypted and we never train on your data unless you opt-in.

I’d love your feedback: For those trading solo—what is the biggest pain point in trading crypto?

Thanks for checking us out! 🚀

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@soonbeomhong Cool product! Quick question: can the agents do real trading, or is it signal-only for now?

When auto-execution is live, will the agent trade using the tested strategy while factoring in recent news as well?

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[UPDATE: 🚨 Live Support]

We are experiencing high traffic and shipping hotfixes in real-time! 👨‍💻

I'm fixing bugs as fast as possible.

If you encounter any issues, join our Live Telegram Channel for the fastest fix.

👉 Join here: https://t.me/heytradersofficial

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Huge congrats on the launch! 🚀 Turning natural language into verifiable crypto quant strategies is a powerful unlock for serious traders on PH.​

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@zeiki_yu Hey Zeiki, thanks! We believe serious traders should focus on finding Alpha, not fixing bugs. Hope this helps you save time!

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instant backtesting is great, but slippage is the real killer in crypto. does the simulation engine account for exchange fees and liquidity, or is it just raw price data?

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@samet_sezer Thanks Samet, Great point. A backtest without friction costs is just a fantasy.

You are absolutely right. Here is how we handle it:

  • Currently: We set 5bps for exchange fees and an additional 5bps for slippage, but you can adjust these individually.

  • Roadmap: We are building a full "Real Market Mock" engine using orderbook snapshots. This will allow us to accurately simulate:

    1. Fee Dynamics: Distinguishing between Taker Fees (Market Orders) and Maker Fees (Limit Orders).

    2. Execution Logic: Calculating precise slippage based on order book depth vs. fill probability for limit orders.

Thanks for highlighting this—getting the simulation right is our top priority!


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A lot of traders don’t trust backtests because of hidden assumptions (fees, slippage, bar-close fills, lookahead/repainting). What specific design choices make a HeyTraders backtest *verifiable*, and what do you expose so a skeptical user can audit results rather than trust an equity curve?
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@curiouskitty This touches the core challenge of any quantitative analysis.

You are absolutely right. Many traders get tricked by perfect backtests. Here is how we handle those specific assumptions:

1. Handling the Assumptions

  • Fees & Slippage: We apply fees and slippages default to 5bps (0.05%) to be conservative, but this is fully configurable. We also plan to integrate Orderbook depth replay later for realistic impact simulation.

  • Execution (Bar-close): If a signal is generated based on bar-close data, we strictly execute at the Next Open. We never assume you can fill at the closing price of the signal candle.

  • Lookahead/Repainting: Our engine strictly enforces time-series separation. The strategy logic only sees data up to time T, making lookahead or repainting impossible by design.

2. How to Audit (Why you can trust the curve)

  • You can trust the backtest by trade history. On backtest detail page, you can click the chart to inspect every single trade entry/exit on the candle. You can visually verify exactly where the bot bought and sold relative to the price action.

---
And more importantly, there are other major reasons why traders distrust AI Trading and backtesting. Here is how we address those specific fears:

  • Deterministic Protocol: LLMs are probabilistic, but trading must be precise. Our AI acts as a translator, not a creator. It converts your natural language logic into deterministic execution logic.

  • Trust Pipeline: We know backtesting is just a simulation and often fails in live markets. That is why we structured our flow as a verification pipeline: Backtest (Past check) → Live Signals (Real-time verification) → Automated Execution. We encourage you to verify the logic with Live Signals first. Only when you trust the real-time performance, should you enable automated execution.

Would love to hear your feedback on this approach!

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Congrats for the launch. Curious if this is for short-term trading or long-term investing. Does it consider company fundamentals and news?

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@liang_tang Thanks for the question, Liang.

  • Fundamentals: Currently, we are crypto-first. While we don't parse company fundamentals like corporate balance sheets yet, we can handle market fundamentals (News, Narratives, Macro). We plan to expand to Stocks later and integrate company-specific data (Earnings, P/E).

  • Time Horizon: The AI is agnostic, but since Crypto has a relatively short history compared to Stocks, it is statistically difficult to validate multi-year investing strategies. Therefore, our current engine works best for short-to-mid-term horizons.

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Interesting idea, would love to know if there will be a market for strategies later on, or even combo things together for better risk control

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@david_chen37 Thanks Siyuan, great ideas.

  • Marketplace: Yes, we envision an ecosystem where users can monetize proven alphas via a Marketplace and copy trading.

  • Combos: This is essential for risk management. We are planning a "Portfolio Backtest" feature to analyze correlations between strategies and see how they hedge each other.

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Hey-Hunters! 👋 I'm Minseom, co-founder of HeyTraders.

While Soonbeom brings the quant expertise, I've been focused on making sure your data stays yours.

Here's our promise:

Your trading strategies are fully encrypted and stored securely.

We only use system data for stability improvements — never for training, never sold to third parties.

Your alpha stays your alpha.

We're just getting started, and your feedback means everything to us.

Try it out and let us know what you think — the good, the bad, all of it! 🙏

Wishing you all a great day ahead! 🌟

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#9
Doctective
Stop Updating Documentation. We Do It Accurately For You.
117
一句话介绍:一款通过监控代码仓库PR自动更新相关文档的工具,解决了因文档过时导致开发效率低下和AI生成错误代码的痛点。
Productivity Software Engineering Development
文档自动化 开发工具 代码同步 GitHub集成 维护效率 Markdown PR监控 AST分析 技术写作 DevOps
用户评论摘要:用户普遍认可解决“文档过时”痛点的价值,并询问技术细节:如何确保修改准确性、支持平台、防误报机制,以及是否支持VS Code插件。创始人回应采用AST分析、置信度关卡和人工审查。
AI 锐评

Doctective 瞄准了一个古老但日益尖锐的痛点——文档与代码的同步。其宣称的“安装一次,永久记录”直指软件开发中繁琐且常被忽视的维护成本。产品逻辑清晰:以代码变更为唯一信源,通过自动化流程反向更新文档,意图将文档从“写后即弃”的静态资产转变为持续集成的动态产物。

然而,其真正的挑战与价值远不止于“自动”二字。从评论中的深度提问可见,资深用户关心的核心是“准确性”与“可控性”。代码重构、重命名等行为是否会产生大量需要人工甄别的噪音?基于AST或符号图的分析能否精准理解开发者意图,而非进行机械的文本替换?产品将更新以“伴侣PR”形式呈现,保留了最终的人工审查权,这是务实的策略。但这恰恰也引出了其商业模式的潜在天花板:它本质上是一个提升质量的效率工具,其付费意愿往往低于直接创造收入的工具。当自动化程度越高,用户越会将其视为基础设施并要求近乎完美的可靠性;而一旦需要大量人工干预,其“自动”的核心价值便大打折扣。

更深刻的洞察在于,它试图解决的是一个“人”的问题而不仅是“技术”问题。文档过时的根源常在于团队文化、优先级和激励制度。Doctective 通过技术手段强制建立了从代码到文档的反馈回路,是将文化规范写入流程的一次尝试。在AI编码助手开始学习陈旧文档的当下,其价值被进一步放大——它不仅在维护人类可读的知识,更是在净化AI训练的语料。能否跨越“有用工具”到“开发必需品”的鸿沟,取决于它能否在复杂的真实开发场景中,展现出远超人类维护者平均水平的精确性与上下文理解力,否则它可能只是将“更新文档”的负担从“编写”转移到了“审查和修正自动生成的PR”上。

查看原始信息
Doctective
Install once, document forever. Auto-updates all your documentation from your code so they never go stale.
Hey Product Hunt! 👋 I built Doctective after wasting one too many hours debugging issues caused by outdated docs. Imagine this: Want to use a new library so you follow the documentation, it doesn't work, and then you discover the code changed 3 months ago but nobody updated the docs. The worst part? AI coding assistants are now reading these stale docs too, generating broken code based on outdated information. So I built something simple: connect your GitHub repo, and Doctective watches every PR. When code changes would break your docs, it tells you and can even open a companion PR with the fixes automatically. No new tools to learn. No manual doc audits. Just accurate docs that update themselves. Would love your feedback — what's the #1 documentation pain point on your team?
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@johnnymedhanie This solves a painfully real problem. Broken docs waste hours, and now they even poison AI-generated code. Watching PRs and auto-updating docs feels obvious in hindsight — surprised no one shipped this earlier. Nice work.

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Congrats on the launch — love how Doctective keeps docs in lockstep with every code change.

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This is great! Have you also considered the idea of creating a vscode plugin that will update docs alongside the PRs on commit? Like how huskey has precommit checks, this could essentially verify docs are up to date when pushing the code?

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@imamkevin Thanks Kevin! I'm glad you mentioned this, just finished working on doing the checks and pushing the changes as commits to the PR. The idea of vscode plugin is really interesting and something I'll definitely look to integrate with!

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When Doctective proposes doc changes, how do you ensure they’re correct and minimally invasive—what guardrails (diff size limits, source-of-truth selection, tests/build checks, quoting code links) prevent confident but wrong edits from getting merged?
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@curiouskitty Totally fair question, we classify the code changes deterministically using AST, generate a minimal patch, confidence gates + human review via companion PRs + validation checks => you review the docs patches before merging, and low-confidence changes never make it that far

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Sounds super useful. What kind of documentation platforms do you support? Do you need to have the documentation in Markdown files in the same repository?

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@wilco_kruijer1 Yes, we currently manage markdown files in your Github Repos! we look across all your code and the changes you push and create PRs that automatically fix your docs

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Auto-fixing docs on every PR is a huge unlock, but at scale the pain is false positives: refactors, renames, and “behavior changes” that AST diffs catch, but the human intent in the docs is nuanced.

Best practice is to ground updates in code-symbol provenance (tree-sitter/LSIF), generate minimal diffs, and run a CI gate that links each doc change to the exact commit and API surface change with an easy approve workflow.

How are you detecting drift today (AST/symbol graph vs heuristic grep), and can Doctective produce deterministic, reviewable PRs that pin the doc update to a specific commit hash and changelog entry?

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@ryan_thill I totally agree with you, especially if you don't want to have slop as documentation its best to ground doc changes to commits. For doctective we take a multi step approach to determine the type of change, the nuance of the doc and style and ensuring guardrails so we keep docs helpful!

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Install once, document forever' is such a strong promise. As builders, we know how painful maintenance can be, so this is a huge win.

Just dropped an upvote. Best of luck from us at Dashform! Hope we can support each other down the road.

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#10
iPhotron
A macOS Photos–style photo manager for Windows
109
一句话介绍:iPhotron是一款为Windows用户打造的、采用文件夹原生且非破坏性管理的macOS Photos风格照片管理器,解决了Windows平台缺乏优雅、高效且能完美处理HEIC/MOV动态照片的本地照片管理工具的痛点。
User Experience GitHub Photo & Video Photo editing
照片管理软件 Windows应用 macOS风格 本地相册 非破坏性编辑 HEIC/MOV支持 动态照片 GPU加速 文件夹原生 轻量级工具
用户评论摘要:用户普遍赞赏其将macOS Photos的快速、优雅体验带到Windows,并解决了动态照片兼容性问题。有评论者好奇开发者的创作动机,推测源于对现有Windows照片应用臃肿或功能不全的失望。另有用户分享了自己因找不到类似轻量级本地管理工具而尝试自建的经历,侧面印证了市场需求。
AI 锐评

iPhotron的亮相,与其说是一款新应用的诞生,不如说是一面镜子,映照出Windows生态在特定消费级工具领域的长期失位。其标榜的“macOS Photos风格”,本质上是对一种成熟、优雅且以用户内容为中心的设计哲学的移植,这恰恰是许多Windows原生应用所忽视的。其核心价值并非简单的功能堆砌——如文件夹原生、非破坏性管理、HEIC/MOV动态照片支持——而在于将这些技术点无缝整合进一个强调“浏览”与“回忆”而非“文件操作”的体验框架中。

然而,其挑战也同样鲜明。在云服务与AI编辑成为主流的今天,坚持“纯粹本地”是一把双刃剑,它吸引了注重隐私与性能的核心用户,但也可能将更广泛的大众市场拱手让给集成度更高的谷歌相册或Adobe生态系统。GPU加速浏览固然是性能亮点,但在基础体验达标后,用户更深层的需求可能是智能分类、人脸识别或跨设备同步,这些才是构建护城河的关键。从评论看,用户情绪中夹杂着“终于等到你”的欣慰与“为何现在才有”的诘问,这既是对产品的肯定,也是对Windows平台长期缺乏此类优质原生工具的无声批评。

iPhotron的成功与否,将取决于它能否超越“风格模仿”,在Windows的土壤上找到独特的生根之道。它需要证明,其价值不在于成为“Windows上的Mac应用”,而在于重新定义Windows用户管理数字记忆的优雅方式。否则,它可能只会是技术爱好者圈子里一个叫好不叫座的精致替代品。

查看原始信息
iPhotron
A macOS Photos–style photo manager for Windows — folder-native, non-destructive, with HEIC/MOV Live Photo, map view, and GPU-accelerated browsing. - OliverZhaohaibin/iPhotron-LocalPhotoAlbumManager

Congrats on the launch! Love how iPhotron brings a fast, folder‑native, non‑destructive Photos‑style experience to Windows users.


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Hey Haibin, that frustration of wanting something Mac-like on Windows and just not finding it is real. Was there a specific moment where you tried yet another photo app, realized it was either bloated or couldn’t handle Live Photos, and thought fine, I’ll just build it myself?
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As I am rather fond of Live Photos and the minimalist Mac-style photo albums, I found no suitable lightweight Live Photo management software on Windows, nor any light, purely local photo album applications. Consequently, I emulated one using Python and the Qt technology stack.
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#11
APX Terminal
Encrypted terminal and SSH client with built‑in AI assistant
97
一句话介绍:一款集成上下文感知AI助手的加密终端和SSH客户端,允许开发者使用自然语言操作本地与远程服务器,解决了在复杂运维场景中频繁查询命令、调试错误日志的效率痛点。
Productivity Developer Tools Artificial Intelligence
AI终端 SSH客户端 开发运维工具 本地加密 模型无关 GPU加速 上下文感知 生产力工具 跨平台 自然语言编程
用户评论摘要:用户认可其上下文感知AI是杀手级功能,解决了复制错误日志到浏览器调试的割裂感。主要疑问在于切换不同AI提供商时的模型偏好记忆是自动还是手动,关注工作流的智能与便捷性。
AI 锐评

APX Terminal的野心不在于做一个“更好的终端”,而在于成为开发工作流的“感知与控制层”。它试图用AI弥合人类意图与机器指令之间的鸿沟,其宣称的“工业级”和“GPU加速”瞄准了专业开发者对性能与稳定性的苛刻要求。

产品核心价值在于“上下文感知”与“模型无关”的结合。前者让AI从“笼统的聊天伙伴”变为“专注当前问题的协作者”,通过读取终端缓冲区,将调试从“复制-粘贴-搜索”的离线动作变为实时分析,这直接击中了运维的核心痛点。后者则以“自带密钥”策略,巧妙规避了数据隐私与模型绑定的商业争议,将选择权交给用户,但同时也将模型效果差异和切换成本部分转移给了用户。

然而,其真正的挑战在于“智能”的可靠性。在复杂多变的生产环境中,AI对错误日志的诊断是否精准、建议的命令是否安全可靠,将直接决定其从“新颖玩具”变为“可信工具”的成败。此外,将终端与SSH客户端一体化虽提升了便捷性,但也可能模糊了本地与远程的安全边界,其宣称的本地加密需经受严格的安全审视。

总体而言,APX Terminal代表了终端演进的一个明确方向:从被动执行工具转向主动智能界面。但它能否“完美”,不取决于其技术栈的时髦程度,而取决于其AI在真实、高压运维场景下的实用性与稳定性,这仍是需要验证的命题。

查看原始信息
APX Terminal
Stop Googling commands. APX Terminal is the modern, GPU-accelerated terminal for macOS, Windows & Linux. Seamlessly control Localhost & SSH servers using natural language. Context-Aware AI (It reads your logs & errors), Model Agnostic (Bring your own keys: OpenAI, Gemini, DeepSeek, Groq), Native Performance. The Terminal. Perfected. Don’t just command. Talk. An industrial-grade terminal & SSH client engineered for precision. Local encryption. Neural intelligence. Perpetual license.
Hi Product Hunt! 👋 I’m Yoga, creator of APX Terminal. For decades, we’ve been managing million-dollar infrastructures using terminal emulators that haven't evolved since the 90s. We paste cryptic error logs into browsers, juggle dozens of SSH keys, and memorize complex syntax. That ends today. APX Terminal is an Enterprise-Grade AI Command Center designed for DevOps, SREs, and Senior Engineers who demand more than just a black screen. Why APX is built for professional workflows: 1. Privacy-First & BYOK. We don’t resell your data. You bring your own keys (OpenAI, Gemini, DeepSeek, Groq). Your API keys are stored locally using OS-level encryption (Keychain/Credential Manager). 2. Hybrid Architecture. Seamlessly control your Local Machine (Zsh/PowerShell) AND Remote Production Servers (SSH) in a single, unified interface. It’s the only tool you need open. 3. GPU-Accelerated Performance. Built on WebGL. APX handles massive log streams and complex outputs without stuttering. It’s native, fast, and stable. 4. Context-Aware Intelligence. The AI doesn't just "chat." It reads your active terminal buffer. When a deployment fails or Nginx crashes, APX analyzes the exact error output and suggests the fix instantly. We built APX to be the last terminal you'll ever need to install. Download it. Stress-test it against your production logs. Let us know what you think.
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The context-aware AI reading the terminal buffer is the killer feature here. Copying error logs into a browser tab to debug has always felt broken.

Curious about the BYOK setup - when switching between providers (say OpenAI for one task, DeepSeek for another), does it remember which model works best for different types of errors? Or is it manual switching each time?

0
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#12
Morphic
Transforming the future of storytelling using AI.
60
一句话介绍:Morphic是一款一体化AI创意工作室,通过提供角色与风格一致性、关键帧转视频、实时协作画布等功能,解决了创作者在制作连贯的影视级图像、视频及故事时面临的工作流程复杂与内容一致性难题。
Artificial Intelligence Photo & Video Animation
AI视频生成 AI创意工作室 内容一致性 影视级内容 实时协作 动画制作 营销视觉 故事叙述 AI图像生成 品牌视觉
用户评论摘要:用户普遍赞赏其解决AI视频内容一致性的核心痛点,并对角色一致性功能的具体实现方式(基于参考或学习)表示好奇。同时,用户询问了支持的AI模型、与代码结合生成动画的可能性,以及为何未采用流行的节点式界面。
AI 锐评

Morphic的亮相,直指当前AI生成视频领域的“阿喀琉斯之踵”——碎片化。现有工具能生产惊艳的单帧或短片,却难以构建连贯的叙事流,导致角色、风格在序列中“精神分裂”。Morphic将“一致性”作为产品基石,并辅以实时协作画布,其野心并非替代单点工具,而是试图成为AI原生时代的“创意操作系统”,服务于从个人创作者到专业工作室的完整管线。

然而,其真正的挑战与价值皆藏于细节。用户对“角色一致性如何实现”的追问,触及了技术黑盒与可控性这一根本矛盾。是简单的图生图参考,还是具备学习能力的模型微调?这决定了其天花板是高效的辅助工具,还是具备理解力的创意伙伴。此外,避开流行的节点式界面,选择“无限画布”的协作体验,是一次大胆的UX赌博,意在降低团队协作门槛,但可能牺牲高级用户的精细控制需求。

产品在PH上获得的积极反馈,验证了市场对“一致性”的强烈渴求。但长远来看,Morphic的价值不仅在于技术缝合,更在于能否定义一套基于AI的、全新的结构化创作范式。若成功,它将从工具进化为标准;若失败,则可能仅是又一个功能复杂的缝合怪。其创始人“让AI成为创意伙伴,而非老虎机”的愿景动人,但实现之路,需在生成质量、可控成本与用户体验的“不可能三角”中,找到那个精妙的平衡点。

查看原始信息
Morphic
Morphic is an all-in-one AI creative studio for creating cinematic images, videos, and stories without complex workflows. Collaborate live with your team on a shared Canvas and ship together in real time! Create brand-grade visuals using Frames-to-Video, 3D Motion, Audio, and character and style consistency. From filmmaking and animation to gaming, agencies, creators, and marketing teams, Morphic powers everything from brand films and product ads to anime, reels, and visual storytelling.

Hey Product Hunt,

JD here, Founder of Morphic.

We built Morphic to make high-end visual creation with AI feel simple, structured, and controllable.

Most AI tools today are great at generating single images or short clips — but they start breaking when you want consistency, direction, and story flow. That’s the gap we’ve been focused on solving.

With Morphic, you can:

  • Generate cinematic images and videos

  • Maintain strong character consistency

  • Turn key frames into smooth video sequences

  • Add motion and audio

  • Collaborate live with your team on a creative, infinite Canvas

Creators use Morphic for animation, anime, reels, and storytelling.
Agencies and marketing teams use it for brand visuals, ads, and campaigns.
Studios use it for concepts, storyboards, and rapid visual exploration.

Our goal is simple:
Make AI feel like a creative partner, not a slot machine.

Excited to finally share this with the PH community.
Would love your feedback, questions, and ideas. We’ll be here all day answering questions!

Try Morphic: https://morphic.com
Stay in touch: https://x.com/morphic 

14
回复

@jdkanani congrats on the launch. Do you have a capability of getting animation from a code?

e.g. a mobile game playable ad that I can out of that code generate an animation or an image?

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@jdkanani Hi, congrats on the launch! Loved your landing page, looks promising. It's great that you mentioned consistency of videos - that's a pain point with most AI generated videos.

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love the focus on consistency, that's the real pain point with ai video tools. generating one cool clip is easy, keeping characters and style consistent across a sequence is where everything falls apart.

quick question : how does the character consistency work? is it reference based or does it learn from a few examples? and can you lock a character style across an entire project?

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What AI image and video models are available?

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Been playing around with Morphic, character consistency across scenes is 🔥
Makes it way easier to build stories without characters changing every time.

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Congratulations on your launch! Love the infinite Canvas!

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I absolutely love using this platform, I'm finally able to bring to life the stories I've always wanted to tell!

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Beautiful homepage!

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I wonder if Morphic could help me bring to life my vision: an AI (or even a gamified app?) where you can study philosophy while chatting with various philosophers in historical settings. That would require a high level of consistency in style. How consistent is Morphic really?

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Why haven't you taken the node-based interface route, while every other company in this space has?

0
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#13
SponsorRadar
Discover brands that already sponsor channels like yours
55
一句话介绍:SponsorRadar通过分析同类YouTube频道的品牌赞助数据,帮助内容创作者高效发现潜在赞助商、生成媒体资料包并发送个性化推广邮件,解决了创作者寻找品牌合作机会信息不对称、效率低下的核心痛点。
Productivity Social Media Marketing
创作者经济 品牌赞助 营销工具 商业智能 媒体资料包 潜在客户挖掘 YouTube数据分析 业务拓展
用户评论摘要:用户普遍认为该产品为创作者提供了巨大价值,能有效将公开数据转化为高转化率的合作。创始人分享了产品源于帮助朋友的真实故事。有效提问集中于数据相关性(如何区分品牌赞助与单纯提及)和数据的时效性。
AI 锐评

SponsorRadar的本质,是一个将非结构化公开信息(视频赞助声明)转化为结构化商业情报的“数据捕手”。它的真正价值不在于简单的数据库罗列,而在于构建了一个从“情报洞察”到“行动执行”的短链路闭环,精准切中了创作者经济中供需匹配失灵的顽疾。

产品聪明地利用了“社会证明”这一核心逻辑:与其让创作者漫无目的地“盲投”,不如直接展示品牌已经为相似频道付费的历史事实,这极大地提高了合作邀约的说服力和成功率。其宣称的“暖线索”正是基于此。然而,产品的长期壁垒与潜在风险也在于此。其数据抓取的准确性、全面性(如何区分付费赞助、联盟营销、无偿赠送?)以及时效性,是生命线。一旦数据出现偏差或滞后,工具的信誉将迅速崩塌。

此外,该模式存在一个潜在的“自我削弱”效应:当越来越多的创作者使用此工具向同一批品牌发起同质化攻势时,品牌的收件箱将变得拥挤,合作门槛会水涨船高,工具的边际效用可能递减。这迫使产品必须向两端进化:要么为创作者提供更深度的竞品分析和策略建议,提升“情报”的附加值;要么为品牌方开发高效的创作者筛选与管理功能,转型为双向平台。目前来看,它更像是一个精悍的单点突破工具,但要想成为创作者商业化的基础设施,其道路尚长,且充满数据与规模的双重挑战。

查看原始信息
SponsorRadar
Discover brands that sponsor channels like yours, generate professional media kits, and send personalized outreach emails that convert. Browse our database of brands actively sponsoring YouTube creators across different sectors. See their sponsorship history, which channels they work with, and their typical deal patterns. Channel Directory lets you research any creator's sponsorship history. Use this intel to identify warm leads and craft pitches that convert.

Hi everyone! I created SponsorRadar because a fellow YouTuber friend told me he wished he could go full-time and quit his day job. He had twice as many subscribers as me but was making one-fifth the money. He didn’t realize that brand deals make up the majority of many creators’ revenue, and he had no idea how to land his first one.

On the spot, I pulled up my inbox and gave him the contacts for every brand I’d worked with in the past. Within a week, he landed his first brand deal—and within a couple of months, he quit his job to go full-time on YouTube. I decided to turn that flow into a product. Find similar channels -> Find their sponsors -> Generate a Media Kit -> Outreach Email.

SponsorRadar started as a personal need, and now I use it weekly to keep my brand-deal pipeline full. Brands and companies also use the tool to research competitors and see which videos they’re sponsoring.

7
回复

@davidvypark Woo-hooo!

0
回复

Congrats on the launch! SponsorRadar is a sharp way for creators to turn public sponsorship data into targeted, higher‑conversion brand deals.

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@zeiki_yu Thanks! That's the idea. These warm leads make it much easier to land sponsorship deals

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This is gonna be huge for creators
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@ayushsoni1001 Hopefully it can help a lot of people out! If i can help thousands of creators go full time that would be a dream come true

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Congrats on the launch!!

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@tony_dinh2 Thanks Tony! Upvoted from JAPAN!!!

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Insane value unlock for creators. This turns your YT channel into your next income stream with minimal effort.

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@josefbuettgen Thanks Josepf! Most creators don't know that brand deals should be 3-5x what they make in adsense. It's a huge chunk of the pie you don't want to miss out on

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SponsorRadar is the best YT power user platform I've had the opportunity to test in forever.

Long road ahead David, rooting for you!

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@robhallam The legend himself!!! Thanks Rob!!

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This is cool! Good work 💪💪

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@laurentlahmy_ Thanks Laurent!

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Kudos to your launch 🎊🎉

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@thisismehrab Thanks! I appreciate it 🙏🏼

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Let's gooo! Much needed tool!

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@tadas_gedgaudas Thanks! It's amazing how much money creators are leaving on the market and how many of them have no idea how to monetize their channels

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Congrats on the launch! This feels super practical, especially the loop from finding similar channels - sponsors - media kit - outreach all in one flow. How SponsorRadar identifies relevant sponsors vs just any brand mention, and how fresh the sponsor data is when creators are doing outreach?

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I wish this exists when I was doing YouTube back then, should have made some more bucks!

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Great news to the creators! Can't wait to try out, congrats on the launch

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#14
TokenTimer
Expiration Lifecycle Management Platform
54
一句话介绍:TokenTimer是一款面向IT、运维及安全团队的过期生命周期管理平台,通过集中监控证书、API密钥、许可证等资产的过期状态并发送预警,解决因资产过期导致服务中断的痛点。
Productivity SaaS Tech
运维安全 生命周期管理 证书管理 密钥管理 资产监控 预警系统 云安全 DevOps工具 SaaS平台 合规性
用户评论摘要:创始人亲自发布产品介绍,强调平台整合分散数据、明确责任归属、提供统一视图和主动预警的核心价值。目前评论均为创始人自述,暂无外部用户反馈与建议。
AI 锐评

TokenTimer切入了一个看似细小却极具破坏力的运维盲区——资产过期管理。其真正价值不在于技术突破,而在于将散落各处的“隐性债务”转化为可管理、可分配、可预警的显性工作流。产品定位精准:不提“革命性监控”,而是针对“有人该负责却无人负责”的组织惰性痛点,通过仅采集元数据的轻量化设计降低部署阻力。

然而,产品面临双重挑战:一是市场天花板问题,大型企业往往已有定制化监控体系,中小团队则可能依赖云平台原生工具或简单脚本;二是其“仅跟踪元数据”的卖点,在实际响应流程中可能仍需对接密钥存储系统,价值链条存在断点。此外,创始人自述式发布缺乏早期用户验证,实际场景中的集成复杂度、误报率、权限管理等问题仍有待观察。

本质上,TokenTimer销售的不是工具,而是一种运维纪律。它能否成功,取决于团队是否愿意为“预防性维护”付费,而非仅响应故障。在DevOps文化成熟的市场中,这类产品有成为基础设施的潜力;但在运维意识滞后的环境中,它可能只是另一款“装了也不用”的仪表盘。其长期发展关键在于能否从“过期提醒器”演进为“生命周期协作平台”,打通续期、审批、轮换的闭环操作。

查看原始信息
TokenTimer
TokenTimer helps IT, DevOps, and security teams prevent outages caused by expired certificates, API keys, secrets, licenses, and subscriptions. It provides a centralized view of expirations across AWS, Azure, GCP, Vault, GitHub, GitLab, and Azure AD, with proactive alerts via email, chat, and incident tools. TokenTimer tracks expiration metadata only, never secret values, making it safe, compliant, and easy to adopt.

Hey Product Hunt 👋

I’m excited to launch TokenTimer today!

TokenTimer is an expiration lifecycle management platform for teams tired of firefighting preventable incidents and lacking clear ownership, visibility, and control over expiring assets.

I built TokenTimer after seeing the same problem over and over again in real production environments: the data existed, but it was scattered, had no clear owner, and nobody was really watching it.

With TokenTimer, teams can:

  • Get a single source of truth for all expiring assets

  • See what expires soon and what is actually critical

  • Assign ownership and collaborate across teams

  • Receive proactive alerts where they already work (Slack, Teams, Discord, etc...)

  • Stay secure by design with a metadata-only approach (no secret values stored)

TokenTimer integrates directly with cloud and developer platforms like AWS, Azure Key Vault, GCP, Vault, GitHub, GitLab, and Azure AD, so you don’t have to maintain yet another spreadsheet or script.

If you’ve ever thought “someone must be watching this, right?” and then had an incident anyway, this product is for you.

I’d love to hear your feedback, use cases, and ideas. Happy to answer any questions!

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#15
Blazly Generative Engine Optimization
Get your brand referenced by every major LLM with Blazly GEO
52
一句话介绍:Blazly GEO是一款生成式引擎优化工具,帮助企业在AI搜索时代(如ChatGPT、Claude等)解决品牌不被主流LLM推荐的核心痛点,通过审计、优化和追踪,提升网站在AI引擎中的可见性与推荐率。
Marketing SEO Artificial Intelligence
AI搜索优化 生成式引擎优化 GEO LLM可见性 品牌追踪 竞争对手分析 AI.json优化 SEO工具 营销自动化 内容生成
用户评论摘要:用户反馈验证了从传统SEO转向AI搜索优化的趋势痛点。创始人回复明确了与SEMrush等工具的核心差异在于AI监控、竞品研究等高级功能。用户关注免费计划、具体差异化优势及初步试用效果。
AI 锐评

Blazly GEO精准切入了一个正在形成的市场断层:传统SEO与AI原生搜索之间的策略真空。其真正价值并非简单的“AI版SEO工具”,而在于试图成为LLM爬虫行为的“解码器”与“调度中心”。产品逻辑直指本质——当搜索入口从关键词数据库转向黑箱化的LLM对话时,可见性的博弈规则已变:从优化排名转为优化“被参考”的概率。

然而,其面临的挑战同样尖锐。首先,技术护城河存疑。AI爬虫机制仍处快速演变期,OpenAI等巨头可能随时调整抓取与引用策略,工具的方法论可能被迫频繁迭代。其次,“AI.json”等优化手段的效力缺乏公开验证,这更像一种基于逆向工程的推测性标准,其长期有效性取决于AI公司是否愿意接纳此类“信号”。最后,市场窗口期可能短暂。一旦主流LLM提供商开始商业化其引用系统(如优先展示付费合作伙伴),中小网站的优化空间将被急剧压缩。

产品最犀利的洞察在于将“竞争对手分析”与“高意图关键词发现”植入AI语境。这不再是关键词流量争夺,而是对LLM训练数据与推理逻辑的逆向抢占。但这也引出一个伦理风险:当大量网站开始系统性“优化”以影响LLM输出时,是否会加速AI搜索结果的同质化与操纵性,最终损害用户体验?Blazly GEO的成败,不仅取决于其技术执行力,更取决于它能否在帮助客户获取流量的同时,不沦为污染AI信息生态的推手。它站在了一个新兴且脆弱的博弈前沿。

查看原始信息
Blazly Generative Engine Optimization
Run a GEO audit to identify and fix gaps and make your website LLM-friendly. Optimize for AI crawlers with custom AI.json and robots.txt. Track when and where your brand appears across ChatGPT, Gemini, Claude, and Perplexity. Analyze competitors, uncover GEO opportunities and own high-intent keywords. Launch GEO-optimized blogs and landing pages in seconds published directly to your website.
Hey Everyone👋🔥 I’m Jerry, founder of Blazly. Super excited to finally share Blazly GEO with you today 🚀 Blazly GEO was born out of a problem we personally hit while building and scaling products. Our websites were doing great on Google 🔍 but when people asked ChatGPT, Gemini, Claude, or Perplexity for recommendations… we were nowhere to be found 🤖❌ Search is changing fast. People aren’t typing keywords anymore they’re asking questions, and AI is deciding which brands get recommended 💬➡️🏷️ The problem? Most teams have zero visibility into: whether they’re mentioned 🤷‍♂️ why competitors are mentioned instead 😬 and how to influence those AI answers 🎯 So we went deep into how LLMs crawl, understand and reference websites 🧠🌐 The result is Blazly GEO (Generative Engine Optimization) built specifically for AI discovery. With Blazly, you can: 🚦 Run a GEO audit to uncover what’s blocking LLM visibility 🛠️ Optimize AI crawling using AI.json and robots.txt 📊 Track brand mentions across ChatGPT, Gemini, Claude, and Perplexity 🎯 Analyze competitors and uncover high-intent GEO opportunities ✍️ Instantly generate and publish GEO-optimized blogs and landing pages Our mission is simple 💡 Help your brand get discovered and recommended in the age of AI search. If you’re building, marketing, or scaling a product and want AI platforms to recommend you instead of your competitors Blazly is built for you 💙 Would love your feedback, questions, and support today. Thanks for checking us out 🙌🚀 PS: SEO will take time GEO won't
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Congrats on the launch, @jerryton ! As a founder in the cloud space, I've noticed this exact shift. We spend so much time obsessing over Google rankings, but more and more devs are just asking Claude or ChatGPT for tool recommendations. The ai.json optimization feature sounds particularly interesting, it feels like the new robots.txt for the AI era. Excited to give this a spin for CloudWise!

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How does your tool differ from similar in the industry?

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@busmark_w_nika Hello Nika, glad you asked. Right now, SEMrush, Writesonic, Profound, and a few other companies have started offering GEO optimization.

They don’t provide advanced features like ours, such as AI Monitor and competitor research. These tools help you track where your website or brand is mentioned across ChatGPT, Gemini, Claude, and Perplexity, and give you clear action items to improve visibility on these AI engines.

We also offer competitor research to identify gaps and opportunities that help AI engines mention your brand more often.

In addition, we provide GEO crawling to detect internal linking gaps, along with GEO-optimized blog writing and GEO-optimized landing pages that can be created and published directly to your website from our platform.

Also Blazly GEO has 3 day free trial without asking credit card :)

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Congratulations on the launch 🎉

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@shubham_pratap Thanks a lot mate

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Genuinely useful tool you've made here @jerryton ! I tried it out for @StreamAlive - Interactive PPT slides and was impressed with how well Blazely identified the topics, keywords and AI visibility.

Apparently we're not doing too badly in Perplexity 😁

Congrats on your launch!

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Congratulations on the launch!

Do you have a free plan, and if so, what are its limits?

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There’s a lot of buzz around AI-search optimization right now! So what would you say is your biggest differentiator compared to other GEO or AI-SEO tools?

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#16
AI Proctor by Qlay
AI Proctor for online tests and interviews
50
一句话介绍:AI Proctor by Qlay是一款利用智能手机作为第二摄像头的AI监考工具,在在线考试和面试场景中,通过实时检测异常行为和未授权设备,解决日益复杂的AI辅助作弊等舞弊问题,保障评估的公平性。
Education Artificial Intelligence Human Resources
在线监考 AI防作弊 远程招聘 教育科技 行为分析 多摄像头监控 智能手机应用 诚信评估
用户评论摘要:用户普遍认可其利用手机作为第二摄像头的创意与成本效益,认为其比单摄像头方案更可靠。主要反馈包括:初始设置和调整手机位置较耗时;持续运行耗电快;悬浮摄像头窗口有时遮挡内容,建议增加最小化按钮。开发者积极回应,表示将优化指引和功能。
AI 锐评

AI Proctor by Qlay 的核心理念——“智能手机即第二监考摄像头”,是一次对在线监考固有缺陷的精准外科手术式打击。它没有停留在软件层面的屏幕锁定或行为记录,而是巧妙地利用几乎人手一台的现有硬件,构建了一个低成本、易部署的多视角监控体系。这直击了远程作弊的核心:主摄像头盲区。其真正价值不在于炫酷的AI模型,而在于这个务实且极具可扩展性的硬件解决方案设计。

然而,产品的成功将取决于在“监控强度”与“用户体验”之间走钢丝的平衡能力。当前评论已暴露出两大隐患:一是作为监考方的“组织体验”,如何批量、高效地指导成百上千名考生完成手机架设这一物理步骤,将是一个巨大的运营挑战;二是作为被监考方的“考生体验”,持续的摄像头运行带来的隐私焦虑、电量消耗以及界面干扰,可能引发抵触情绪,甚至影响考试发挥。这本质上是一场“信任”与“侵扰”的博弈。

此外,其AI行为检测的准确性与公平性将是另一座待翻越的高山。如何精准区分“作弊的异常手势”与“思考时的无意识动作”,避免误判带来的争议,是算法层面必须解决的难题。产品若想从“有趣的工具”成长为“可信的基础设施”,必须在降低误报率、建立透明的申诉复核机制上投入更多。简言之,它聪明地提出了一个硬件解决方案,但真正的考验在于其软件算法的精准度与整个流程的规模化、人性化设计。

查看原始信息
AI Proctor by Qlay
AI Proctor by Qlay detects the most sophisticated AI-assisted and other forms of cheating during online tests and interviews. Its core component is a mobile app that turns the interviewee's smartphone into a secondary camera. This mobile app uses object detection AI models to flag unauthorized devices and suspicious body, head, or hand movements in real time.

Hi PH! 👋

Toku here, CTO of Qlay.

Cheating in Online Tests & Interviews
We built AI Proctor by Qlay because online test-takers and candidates are now equipped with AI tools that enable them to cheat in new ways that are difficult to catch, especially when they are running them on a second device.

How Qlay detects cheating?
AI Proctor by Qlay is designed to detect the most sophisticated AI-assisted and other forms of cheating during online tests and interviews. Its core component is a mobile app that turns the interviewee's smartphone into a secondary camera. This mobile app uses object detection AI models to flag unauthorized devices and suspicious body, head, or hand movements in real time.


This will make online tests and interviews fair and transparent for both test-takers/candidates and organizations.

Try AI Proctor & Connect!
If you’re a test administrator or a hiring company, we’d love to connect and hear your feedback.


Happy to answer questions and learn from your feedback!

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@tokumasa congrats on the launch. Does it also work on desktop or solely as a mobile app?

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I like how this focuses on real behavior instead of only locking screens. It feels more realistic for modern remote exams.

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@tarresa_cosson1998 Thanks Tarresa! We're experienced in interviews and noticed that candidates can cheat by hiding 2nd monitor under the table, etc. so we decided to detect behaviors. Good love to hear more feedback if any!

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The mobile app as a secondary camera is clever and cost-effective. No extra hardware is a big win.

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@jacob_love_tech2009 Thanks Jacob! :) We did trial and errors then found that using our daily phones as a second camera works best, since our target users are students and job applicants.

Would love to hear more feedback if any!

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@jacob_love_tech2009 Thanks Jacob! Did you have any difficulty while setting up your phone?

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The camera window during testing was inconvenient for me because I had to move it constantly. It would be great if ít could be hidden. Overall this app is pretty good.

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@palmer_cole Appreciate your feedback, Palmer! That's actually a great idea to have a minimize button for the window camera.

Our temporary solution is that you can close the camera window and open it again by clicking on the icon in the right bottom (pointed by a drawing green arrow in image below). We hope this helps while we improve our product!

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The secondary smartphone camera idea is surprisingly smart and practical. It adds a real-world layer that most online proctoring tools miss.

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@jorgegonzalez68 Thanks Jorge! Did you have any difficulty while setting up your phone?

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This can reveal real skills :D that can be problem for many people :D

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This is much harder to game than single-camera setups. The second angle matters.

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Clean website, smart AI, and the phone-as-a-second-camera idea just works. Feels way more trustworthy than typical online proctoring tools.

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@alo_ny_pham Thanks Alony. Could you let us know what makes AI Proctor by Qlay reliable for use?

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I used AI Proctor for a few online interviews and tests, and overall it works really well. The idea of using your phone as a second camera sounds a bit unusual at first, but once you try it, it actually makes a lot of sense and adds an extra layer of security. The app itself runs smoothly during the interview. It detects things like additional devices or unusual head and hand movements in real time, and once everything is set up, it mostly stays in the background without being distracting.

There are a couple of minor downsides. The initial setup can take a bit of time, especially getting the phone position and lighting right. Also, since the camera and AI processing run continuously, the phone battery drains fairly quickly, so it’s a good idea to keep the phone plugged in during longer sessions.

Overall, AI Proctor by Qlay does what it promises. With a bit of preparation before starting, it provides a stable and reliable proctoring experience.

2
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@xuan_hieu_nguyen Appreciate your feedback! You're right about the set up and phone battery. We'll improve our instruction to give user heads-up about these issues. Thanks again!

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I’ve used a few online proctoring tools before, and the idea behind AI Proctor by Qlay honestly makes a lot of sense. Turning the candidate’s phone into a second camera immediately solves many blind spots that webcam-only setups have. During actual use, the setup felt simple and the real-time detection worked as expected. It’s a practical idea that feels realistic to deploy, not just a nice concept on paper.

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Interesting approach to a tricky problem. We’ve seen a huge rise in devs using tools like Cluely lately, and honestly, it’s made the whole 'remote assessment' part of hiring pretty complicated. On one hand, you want to trust the candidate, but on the other, you want to make sure the technical signals are actually accurate.

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Thank you for the launch, does this have multi languagues support?

1
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Can this be used for organizing online test for class of 40 students

1
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#17
Projects Yard
Build portfolios in mins that are discoverable by recruiters
45
一句话介绍:一款AI驱动的作品集聚合与招聘匹配平台,帮助求职者快速构建结构化项目履历,并让招聘者通过语义搜索精准发现人才,解决了项目经验分散、难以被有效检索和评估的痛点。
Hiring Productivity No-Code
招聘科技 AI招聘 技能匹配 作品集工具 人才发现 求职平台 项目履历 STAR法则 语义搜索 招聘优化
用户评论摘要:用户肯定其直击作品集分散、难以被发现的核心痛点,创建过程快捷(约20分钟)。建议增加拖拽式可视化编辑器以提升易用性。招聘者询问其识别何种有效信号。创始人则探讨AI时代“证据”比“表达”更重要的核心洞察。
AI 锐评

ProjectsYard的野心,并非再造一个Behance或Notion式作品集工具,而是试图在招聘的源头——信息结构与发现机制——进行一场“格式化革命”。其真正价值在于双向约束与赋能:用STAR框架和AI摘要“约束”求职者,将碎片化项目转化为结构化数据;同时用语义搜索“约束”招聘者,迫使其从关键词迷信转向技能与实质工作内容匹配。

产品犀利地戳穿了当前招聘场域的虚伪共识:简历与作品集本质是两种矛盾的语言体系,前者要求极简压缩,后者需要丰富证据,而招聘方却幻想同时获得两者。ProjectsYard通过创建“技能优先的人才层”,本质是构建了一个招聘专用的“结构化数据中间件”。这比单纯提升美观度或传播力更为底层。

然而,其最大挑战也在于此“结构化”的野心。能否让足够多的优质候选人心甘情愿接受这种格式“规训”,并形成高质量的初始人才库,是生死门槛。此外,当AI使“生成证据”也变得廉价时,平台如何验证项目真实性?评论中招聘者对“信号”的追问,正是对其信任机制构建的考验。它若成功,可能成为招聘基础设施的一部分;若失败,则只是又一个增加候选人负担的格式化工具。其成败关键在于,能否让招聘方为此结构化数据支付足够溢价(时间或金钱),从而形成拉动候选人的强大飞轮。

查看原始信息
Projects Yard
ProjectsYard lets you create discoverable portfolios in 15 mins. Candidates present real project work in a searchable, recruiter-facing directory organized by skills, not keywords. They turn resumes and decks into structured STAR showcases using AI in seconds. Recruiters run semantic searches, paste job descriptions to find matches, and compare candidates with standardized formats and match scores. ProjectsYard replaces scattered portfolios with a skills-first talent layer.

Hey Product Hunt 👋
We built ProjectsYard as CMU students after running into the same 3 frustrations again and again:

  • We spend hours crafting portfolios that few people ever stumble across, and even fewer read deeply.

  • Everyone has strong projects, but there’s no single discoverable place to showcase them

  • One-Page Resumes reduce months of real work into a few shallow bullets.

    Recruiters scan fast and often miss strong signals because projects are scattered across resumes, GitHub, and portfolio links.

    From a Product Lens, this is a system problem, not a talent problem.
    ProjectsYard started as a project to answer one key question:
    What if hiring began with real projects instead of keywords?

    So we focused on 3 things:

  • Creating a portfolio aggregation platform that enables users to build portfolios in < 15 mins

  • Standardize how projects are explained. A consistent, structured format across candidates.

  • Make candidates discoverable. AI-powered search & matching using real work, not keywords.

    This is not a design-first portfolio tool.
    It is a hiring-focused product built to improve decision quality for both candidates and recruiters.

    If you’re a maker, we’d love to know what’s hardest about showcasing your work today.
    If you’re a recruiter, we’d love to know what signals you actually trust.
    Thanks for checking it out — excited to hear your thoughts!

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回复

Himakar here (maker) 👋

We’re CMU students, and building ProjectsYard made something feel very clear to us: AI is making it cheap to sound impressive. The bottleneck is shifting from “writing” to “evidence.”

In your experience, what actually counts as evidence that someone can build? Not a buzzword, but the thing that makes you believe the work is real. Curious to hear what you look for first when evaluating a project.

We’ll be in the comments and are actively iterating based on feedback. Appreciate you all 🙏

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@venkata_himakar_yanamandra This hits close to home. I’ve spent a lot of time polishing portfolios and project pages, and the reality is most people skim them quickly. What I like about ProjectsYard is the shift in what gets rewarded. Real project work, clear scope, and outcomes, not just resume bullets or a pretty site. If hiring is going to be fast, portfolios need to be scannable and comparable, and this feels built for that.

0
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This is a solid take on the core problem with portfolios.

Checked out the website and it took barely 20 minutes to set up an entire portfolio.
Have considered adding a visual editor with drag and drop functionality to make it even easier?

The UI looks slick

7
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As a recruiter, this is a good product. I am curious what kind of signals are you observing at this stage?

0
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#18
Bleenk
Chat with AI to build apps and websites
36
一句话介绍:Bleenk是一款通过自然语言对话驱动AI生成完整应用程序和网站的零代码平台,旨在为非技术背景的创业者、创作者和团队降低软件开发门槛,实现从想法到成品的快速构建。
SaaS Website Builder Artificial Intelligence
AI代码生成 零代码/低代码 应用开发平台 实时协作 网站构建 生产级应用 GitHub集成 公开测试版 非技术用户友好 快速原型
用户评论摘要:用户反馈集中在询问GitHub同步、托管方案、与Cursor等工具的区别等实际功能。开发者回复确认GitHub集成是核心功能,托管将支持多云平台或自托管,并强调Bleenk能构建完整应用且自动化处理GitHub,区别于仅生成demo或代码片段的工具。
AI 锐评

Bleenk的野心在于将“对话生成应用”的叙事从“玩具演示”推向“生产级工具”,其核心价值主张直击当前AI编程工具的软肋:生成结果多为片段或概念验证,难以直接部署。产品定位看似缝合了“Lovable”的零代码应用构建与“Cursor”的AI辅助编程,但关键在于其强调的“生产就绪”与全流程GitHub自动化——这试图将AI从“代码建议者”升级为“项目协作者”,接管从生成、版本管理到部署的链路。

然而,公开测试版中托管功能的缺失,暴露了其“端到端”承诺的当前短板。用户关于托管和集成的提问,恰恰反映了目标用户(即便非技术背景)对应用生命周期管理的实际关切。Bleenk的真正挑战并非技术新颖性,而是工程可靠性:在简化前端交互(聊天)的同时,能否稳健处理后端复杂的项目结构、依赖管理和部署流程,避免成为另一个“惊艳演示后难以维护”的案例。其差异化若仅停留在“生成更完整的代码”,则易陷入同质化竞争;若能通过AI深度理解项目上下文并管理开发工作流,才算触及“AI队友”的实质。当前市场需要的是降低“构建”而非“想法”的门槛,Bleenk的成败将取决于其AI在复杂、真实项目中的持续输出质量与系统稳定性,而非对话交互的噱头。

查看原始信息
Bleenk
Turn ideas into software by chatting with AI. Real-time collaboration, zero coding, maximum impact.

Hey Product Hunt 👋
I’m Alen, one of the makers behind Bleenk.

We built Bleenk because building software is still unnecessarily hard for non technical founders creators and teams. With Bleenk you can build real apps and websites by simply chatting with AI no code no setup no complexity.

What makes Bleenk different
It generates production ready apps not demos
You collaborate with AI in real time like a teammate
It is built for speed from idea to working product in minutes

This is our public beta and we are actively listening. Your feedback will directly shape where Bleenk goes next.

What would you try to build first with Bleenk?

Thanks for checking us out and supporting the launch 🚀

12
回复

@unfavalen Good luck with the launch. Looks like a cool tool!

0
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Congrats on the launch!
Can I sync Blink with my Github changes?

1
回复

@hovo_ghevondyan1 Sure thing. GitHub integration is one of our core features, so you can easily sync and work with your GitHub changes.

0
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Congrats! How does hosting work?

1
回复

@daniele_packard Thanks Daniel! Hosting isn’t available yet, it will come after full launch. You can use our cloud, or connect to Vercel, Netlify, Cloudflare, or just download and host anywhere you like.

0
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Good luck with the launch.

What makes it unique and different from cursor?

1
回复

@tigran_chakhalyan1 It’s like if Lovable and Cursor had a child. Bleenk builds full web and mobile apps and handles GitHub automatically, all through simple chat.

0
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Bleenk Public Beta Is Live 🚀

We’ve just opened the public beta for Bleenk, an AI coding agent that helps you create full web and mobile apps through simple chat interactions.

You can sign up here:
https://beta-app.bleenk.pro/

We also have a Slack community for updates, questions, and feedback:
https://join.slack.com/t/bleenkdev/shared_invite/zt-3hu5zwiiv-1FVkbXGXJFk0IVXnLrZoSQ

If you’d like to support the beta and help us improve, please share your feedback here. You’ll receive +10 extra messages added to your daily limit:
https://beta-app.bleenk.pro/beta-feedback

Would love to hear your thoughts.

0
回复
#19
grepai
grep for the AI era
26
一句话介绍:grepai是一款利用向量嵌入技术实现代码语义搜索的本地CLI工具,专为AI编程助手场景设计,解决了传统grep工具因关键词不匹配而无法理解代码逻辑含义的痛点。
Open Source Developer Tools Artificial Intelligence GitHub
代码语义搜索 开发者工具 本地CLI AI编程助手集成 向量嵌入 开源工具 隐私优先 实时索引 代码理解 生产力工具
用户评论摘要:用户普遍认可其语义搜索价值和80%的token节省效果,对100%本地运行表示赞赏。主要问题集中于适用平台(确认支持Cursor等工具)和工具性质澄清(非品牌监控工具)。开发者积极互动,寻求功能改进建议。
AI 锐评

grepai的实质,是在AI智能体开始深度介入编程工作流的拐点上,提供了一个关键性的“连接层”基础设施。它敏锐地捕捉到了一个被忽视的断层:以符号匹配为核心的传统代码搜索工具(如grep),与以语义理解为目标的AI编程助手(如Claude Code)之间,存在根本性的交互逻辑矛盾。AI助手消耗大量token去“阅读理解”代码文件,本质上是在为工具链的落后买单。

其真正价值不在于“又一个语义搜索工具”,而在于它精准地重新定义了搜索的边界和对象。传统搜索的对象是“开发者”,而grepai搜索的对象是“AI智能体”。它通过本地化向量索引,将代码库预先处理成AI易于理解的语义化图谱,从而将昂贵的、重复的AI理解成本,转变为一次性的、廉价的本地计算。宣称的80%token节省,并非简单的性能优化,而是对AI智能体工作流经济模型的颠覆——将成本中心转化为效率中心。

然而,其挑战也同样尖锐。首先,它重度依赖“Ollama”等本地AI基础设施的普及和性能,这为其设定了技术门槛。其次,作为连接层工具,其生存与发展将受制于上下游生态:上游的嵌入模型性能和下游的AI助手是否开放、稳定的接口。最后,其核心功能(语义搜索)面临被集成的风险,一旦主流IDE或AI助手将类似能力原生内置,其独立价值将迅速被稀释。

当前的成功,很大程度上源于其作为开源项目精准击中了开发者社区的“痒点”,并通过巧妙的社区运营(YouTube、Reddit)放大了声量。但要从一个优秀的side project进化为持久的生产力标准,它需要构建更深的护城河,例如建立跨代码库的语义模式库,或向“代码知识图谱管理与推理”的更深层能力演进。它开启了一个正确的方向,但战役才刚刚开始。

查看原始信息
grepai
grep was built in 1973. It finds text, not meaning. When you search for "authentication logic" but the code is named handleUserSession, grep fails. grepai uses vector embeddings to understand code semantically. Search by WHAT code does, not what it's called. Built for AI agents like Claude Code and Cursor, find relevant code instantly instead of browsing hundreds of files. Features: • Semantic search with natural language • Call graph tracing • 100% local • Real-time file watching

Hey Product Hunt! 👋

I'm Yoan, a French developer and YouTuber. I built grepai as an open-source side project, and my community absolutely crushed my expectations.

THE STORY: I challenged my YouTube community to help reach 300 GitHub stars. They didn't just meet it — they CRUSHED it with 750+ stars. A few days ago, I shared grepai on Reddit's r/ClaudeAI, and it hit 279k views. The response has been overwhelming.

THE PROBLEM: grep was built in 1973. It's amazing for exact text matching, but modern codebases need semantic understanding. When you want to find "authentication logic" but the code is named "handleUserSession," grep fails you. AI agents like Claude Code or Cursor spend massive amounts of tokens searching your codebase, often finding irrelevant results.

THE SOLUTION: grepai indexes your code using vector embeddings, enabling natural language queries. Search by WHAT code does, not what it's called. Plus: it reduces Claude Code input tokens by up to 80% (verified benchmark from my Reddit post).

WHAT MAKES IT SPECIAL:
- 🔒 Privacy-first: Runs 100% locally with Ollama
- ⚡ Real-time: Watches your files and auto-updates the index
- 🤖 AI-native: Built specifically for AI agent integration
- 📊 Call graph tracing: Find who calls a function instantly

It's completely free and open source. No cloud, no API keys required (unless you want OpenAI embeddings).

I'd love your honest feedback: What features would make grepai more useful for YOUR workflow? What's missing?

I'll be here all day answering every question. Merci! 🙏

Yoan

15
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@yoandev Congrats on the launch, this deserves more upvotes. That 80% token reduction is a massive win for anyone using AI agents, and keeping it 100% local with Ollama is a huge plus. Very cool!!

1
回复

@yoandev Très belle idée Yoann, je vais tout de suite adopter!

0
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Congrats! Can I use it in Cursor or only Claude Code?

2
回复

@daniele_packard Thanks! Yes, you can definitely use it in Cursor. It works with pretty much all current tools.

0
回复

I use it with Claude Code : Absolute Banger !

1
回复

this is a really smart idea. search is definitely shifting toward ai , people are asking chatgpt and perplexity instead of googling. brands that don't show up in ai answers will lose out.

curious about the brand tracking , how does it work exactly? does it run queries periodically across chatgpt, claude, gemini and check if your brand appears? or is there another method? would love to understand the technical side.

0
回复

@topfuelauto Thanks for the feedback! I think there is a slight misunderstanding regarding the nature of the tool.

GrepAI is actually a CLI tool for developers to query their local codebase. It acts like grep (the standard command line tool to find text in files), but instead of simple keyword matching, it uses vector embeddings (semantic search).

This allows you to search through your files by meaning and context, rather than exact strings. It is not a marketing tool to track brands on external platforms.

1
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#20
Play The Event
Organize Events Effortlessly
20
一句话介绍:一款集预算、支出、参与者和后勤管理于一体的智能SaaS平台,为活动组织者提供一站式解决方案,在活动策划与执行场景中解决信息分散、协同低效与成本失控的核心痛点。
Events SaaS
活动管理SaaS 项目管理 预算与支出跟踪 参与者管理 后勤协调 实时洞察 一体化平台 B2B软件 效率工具
用户评论摘要:由于提供的评论列表为空,无法从用户反馈中识别具体问题或建议。目前产品仅显示20个投票,可能处于发布初期,用户实际使用反馈有待积累。
AI 锐评

PlayTheEvent切入的是一个古老而拥挤的赛道——活动管理软件。其宣称的“一体化”和“实时洞察”是行业标准话术,而非突破性价值。真正的挑战在于,面对Asana、Trello等通用项目管理工具的灵活性,以及Eventbrite等在特定环节(如票务)的深度渗透,一个新平台如何证明其存在的必要性。

它的价值主张“清晰与控制”直指行业痛点:活动筹备中预算超支、沟通碎片化、后勤脱节。若能真正实现数据在预算、支出、人员、物流间的无缝流转与自动核验,从而提前预警风险,那它提供的就不是简单的“看板”,而是基于规则的“决策辅助”。这才是其“智能”二字的应有之义。

然而,从现有简介看,其功能描述仍停留在模块列举层面,未见其驱动“智能”的核心算法或数据联动逻辑的独特阐述。在初期缺乏用户评论的情况下,其易用性、集成能力与定制化水平均是未知数。对于个体和小型协会,价格和上手成本将决定其吸引力;对于企业客户,则需与现有OA及财务系统深度集成。

总而言之,这是一个理念正确但执行决定生死的产品。在MVP阶段,它必须迅速证明其“一体化”不是功能的简单堆砌,而是能生成“1+1>2”协同效应的有机体。否则,它极易沦为又一个功能雷同、可替代性强的背景板。

查看原始信息
Play The Event
PlayTheEvent is a smart SaaS platform that helps organizers manage events with clarity and control. From budgeting and expense tracking to participant management and logistics, PlayTheEvent centralizes everything in one place. Designed for individuals, associations, and businesses, it simplifies planning, reduces errors, and gives you real-time insights to run events smoothly and sustainably.