Product Hunt 每日热榜 2026-01-30

PH热榜 | 2026-01-30

#1
Leapility
Turn your repetitive workflows into AI-powered playbooks
397
一句话介绍:Leapility 是一款AI工作流自动化工具,它允许用户用自然语言将重复性工作流程转化为可自动执行的“智能手册”,帮助知识工作者(如顾问、营销人员)减少重复劳动、整合零散工具,从而在相同时间内显著提升产出。
Productivity SaaS Artificial Intelligence
AI工作流自动化 智能流程构建 无代码自动化 知识资产化 SaaS效率工具 智能体(Agent) 可复用SOP 多合一AI平台 自然语言编程 生产力工具
用户评论摘要:用户普遍认可产品将隐性知识转化为可复用资产的核心理念,认为其从“聊天窗口”转向“执行层”的定位是正确方向。主要问题集中于复杂工作流的支持能力、具体设置成本、本地任务与集成支持情况。建议进一步明确适用边界与操作细节。
AI 锐评

Leapility 所标榜的“将工作流转化为AI执行手册”,本质上是在当前AI应用“聊天化”与“碎片化”困局下的一次精准突围。它没有选择在通用大模型的能力竞赛中内卷,而是切入了一个更务实、更痛苦的缝隙:如何让AI真正融入并固化专业工作流程,而非作为随时需要提示、每次都要从头教起的临时工。

其真正价值不在于“自然语言创建自动化”这一技术表象,而在于它试图成为个人与团队的“**操作化智能中枢**”。通过“Playbook”这一载体,它将专家经验、判断规则、数据源和输出格式封装为可迭代、可分发的数字资产。这超越了简单的宏或脚本,是一种面向AI原生环境的、动态的标准化作业程序。从评论中“基础设施而非助手”、“将隐性知识可重用化”的反馈来看,核心用户已敏锐地捕捉到了这一深层价值——它旨在系统性地提升AI的可靠性与规模化输出能力,降低每次使用的认知负荷与试错成本。

然而,其面临的挑战同样尖锐。首先,**“自然语言描述复杂逻辑”本身存在描述精度与AI理解力的根本矛盾**,评论中关于“多分支复杂流程”的质疑直指这一痛点。其次,产品成功与否高度依赖于能否形成活跃的、高质量的Playbook生态,否则极易沦为另一个需要用户自己从零搭建的“自动化孤岛”。最后,在集成能力尚未完全展露的情况下,其宣称的“替代一堆AI工具”的愿景能否实现,仍需观察。

总体而言,Leapility 代表了AI应用从“玩具与对话”迈向“工具与系统”的重要一步。它的前景不取决于AI是否足够“智能”,而取决于其能否足够“**听话**”和“**稳定**”,真正成为用户工作流中值得信赖的自动化环节。这是一条更艰难但更正确的道路。

查看原始信息
Leapility
For professionals who want more output with less effort. You've done the same work dozens of times. Yet you're still juggling AI tools and losing focus halfway through. 💻 Leapility lets you describe your expertise as a playbook in plain language. Add your sources, steps, tools, and rules. Then hit run and let AI do the rest. ✌️Build once, reuse every time. Scale your output, not your hours.

Hey Product Hunt 👋

I'm Laura Zeng, one of the builders of @Leapility .

Leapility turn your repetitive workflows into Al-powered playbooks that run themselves.

We built this for professionals who want more output — with less effort.

If your work requires doing the same reptitive workflows (e.g. consultants, marketers, educators, freelancers), this is for you.

✍️ Here's how it works:

  1. Write down your workflow in plain language. Add your sources, steps, and rules.

  2. We'll turn it into a playbook.

  3. Run and iterate until it's perfect.

Save it and Leapility will turn it into a custom AI-powered playbook you can run right within chat.

Why you want Leapility:

  • Less Repetitive Execution: your playbook becomes a reusable asset, not a one-off prompt

  • Everything stays in one place: instructions, sources, outputs and all context

  • Enrich Your Deliverables: you can generate text, podcasts, videos, even websites from the same playbook

  • Less repetitive work. Less tool-hopping.

  • One subscription, multiple tools. More output, same hours.

🎉 To celebrate our launch, use code PH1MPRO to get 50% off a Pro membership!

We’ll also be running free Pro giveaways in our Discord: https://discord.gg/GMjzhrfa

Come share your playbook and play with Leapility together 🚀

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@Leapility  @randomlaura This really resonates. Most AI tools still feel like prompt-heavy chatbots instead of teammates that actually do the work.

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@Leapility  @randomlaura Hey Laura! In practice, what’s the first moment users realize an agent has actually “grown” with them, a decision it remembers correctly, a preference it challenges, or a task it starts handling differently without being told? Treating agents as long-term teammates is clearly.. a bold shift.

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@randomlaura super excited for your launch! You guys have come a long way in expressing your value prop, and you've moved quickly to embrace playbooks as a core element of capturing expertise in a repeatable, iterative form that helps people scale their output, not their hours.

Congrats!

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Hey Product Hunt! 👋

I'm Ivy, from Community Growth team at Leapility. But more importantly, I’m the person whose workday was completely transformed by it.

In growth work, we’re often buried in repetitive tasks: tracking trends, drafting social posts, and summarizing user insights. I used to feel like I was just "moving data" around—until I started using Leapility to build my own "AI sidekicks."


⚡️ Making an Agent is as simple as a conversation:

The best part? You don’t need to be a "techie." As someone on the community side, I love that I can build a powerhouse tool in minutes:

  1. Just Type: Write your process in plain language, exactly how you'd explain it to a teammate.

  2. Add Your Brain: Drop in the docs, links, or specific rules you want the AI to follow.

  3. Run it: Leapility turns that into a reusable AI Playbook you can trigger anytime.

It takes the "coding" out of automation and leaves you with the magic.

💎 Why I’m a total power user:

  • Your Work, On Autopilot: I don't write prompts anymore; I build assets. My favorite playbooks are saved and ready to work whenever I am.

  • One Input, Many Outputs: I can take one community update and instantly generate a newsletter, a podcast script, and even a quick landing page.

  • Streamlined Everything: I’ve replaced a whole stack of separate AI subscriptions with this one workspace.

I’ve personally cut my manual workload in half. I’m not just saying this because I work here—I’m saying this because I finally have my weekends back!

🎁 Launch Day Special: Grab 50% OFF Pro membership with code: PH1MPRO

Join me in Discord: I’ll be in our Discord community all day helping users brainstorm their first playbooks. Come say hi! https://discord.gg/GMjzhrfa

What’s that one task you absolutely hate doing every day? Comment below and let’s see if we can build a playbook to kill it! 🚀

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Love the focus on simple language instructions. How does Leapility handle very complex workflows with multiple decision branches? I'm interested to see if it can handle my logic before I dive into the Pro plan.

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@rydensun You can just write it out like you'd explain it to a person. "If this, then that, otherwise do this other thing." Honestly the best way to know is to try it with your actual workflow. Happy to help if you wanna explore more here in our community: https://discord.gg/jCezb7mQ6d

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Great product! innovative idea of turning workflows into Al-powered playbooks. Also I like the launch assets and the storytelling. They really highlight what makes this product special. The poster is also very cool, I love the design.

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@frank_li13 Thank you so much! We’re thrilled that the vision of turning workflows into AI-powered Playbooks resonates with you. We put a lot of heart into the storytelling and design to make sure the 'Agent OS' concept felt as intuitive as possible. So glad you liked the poster and the launch assets—it means a lot to the team! Rocketing forward! 🚀

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@frank_li13 haha glad we share the same taste :P
we really wanted to make AI adapt to how you work, not the other way around. hope you've already got an idea brewing for your first playbook!

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wow this is great

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@kshitij_mishra4 Thanks for your kind words! Feel free to join our discord if you have any questions or wanna know more about other experts' use cases:https://discord.gg/jCezb7mQ6d

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Congrats! Is this mainly for knowledge work, or have you seen people use it for more operational tasks too?

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@victorzh Both! We've seen everything from content research to outreach workflows to internal reporting. What kind of tasks are you thinking about?

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Cool idea! Quick question: how much setup does a typical playbook take before it’s actually useful?

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@luke_pioneero great question

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@luke_pioneero Here's the magic: run your task first, see that it works exactly how you want. Then just hit "Save as Playbook." Done. Now it's yours to reuse anytime :P

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Congrats on the launch! 🎉 Just checked this out and the playbook idea is really nice.

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@sandy_liusy Thanks for feedback~

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@sandy_liusy Thank you!! 💛 We genuinely can't wait to see playbooks from all kinds of experts. Curious what you'd want to build first?

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@sandy_liusy Thanks for your support, Sandy!

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Love it! Looks like an amazing tool to create unique content based on real-live workflows. Can be useful for marketers, coaches, and content producers.

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@alina_petrova3 You get it!! these are truly our early power users and we love seeing how they turn their workflows into playbooks. we also built a reddit strategist agent ourselves if you'd like to give it a spin: https://leapility.com/share/agent/i-8poxa0f1xq9q?ref=r-quxojujq5ivb

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I like that Leapility treats AI as an execution layer, not just a conversation window.

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@heal_yi Spot on! That’s exactly the shift we’re aiming for. Moving AI from a 'chat window' to a functional execution layer is what turns simple prompts into actual productive assets. We believe the future of AI isn't just talking about work, but actually getting it done through structured Playbooks!

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This feels like turning tacit knowledge into something reusable and scalable.

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@svaney_neyney Precisely! Capturing that 'tacit knowledge' and turning it into a reusable, scalable Playbook is the heartbeat of our vision. We wanted to move away from fleeting prompts and create a way for experts to 'clone' their best practices into executable assets. It’s about building a library of your own expertise that works for you 24/7!

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Interesting idea. Can I use it for local tasks on the laptop? How many integrations does it support?

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Interesting, playbooks as reusable SOPs feels way more aligned with how professional teams actually work than Jira board. Looking forward to try it out!

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@amberjolie Thanks! That’s exactly how we think about it, playbooks as reusable SOPs built around real workflows. Excited to hear what you think once you try it out! 🙌

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This is closer to infrastructure than an assistant—and that’s a good thing.

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@arvinx Thanks for the support! Really appreciate this framing.

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@arvinx We really do think of it that way🥹 . Chat is great, but we wanted something that actually stays and grows with you.

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This could meaningfully change how teams operationalize AI.

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@amazing_1 That’s the goal 🙌 helping teams move from AI experiments to something they can actually operationalize - really appreciate your support!

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Having browsing, code execution, and generation in one layer removes so much context switching.

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@thechaos Yes! Honestly it feels so good when you're not jumping between ten dialogue boxes and losing your train of thought halfway. Just focus on the refinement of a playbook and stay in the flow.

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This feels like a step away from chatting about work toward actually running work.

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@qiwap Exactly what we were hoping for! 😄 We use this ourselves all the time. Half our marketing workflows are playbooks now, and we even built a Reddit Strategist agent that the whole team shares. Feels good when "talking about work" becomes "work actually getting done."

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This feels built for professionals who actually repeat workflows weekly, not casual AI experiments.

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@wellswang You nailed it! We built Leapility specifically for that 'pro' use case. While casual AI experiments are fun, real value comes from turning your weekly, repetitive expertise into a permanent asset. That shift from 'one-off chats' to 'reusable Playbooks' is exactly how we help professionals scale their impact without the manual grind. Glad to have you with us

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What stood out to me is how production-ready this feels — not just another automation that breaks the moment things get slightly complex.

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@yuezheng That is a huge compliment! We intentionally built the Playbook architecture to move away from the 'chaotic' nature of standard AI chats. By using a structured format, we ensure the logic stays rigid and production-ready, even as workflows scale in complexity. It’s all about giving you a digital employee you can actually trust to deliver every single time!

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@Leapility great launch! I love the style of your media, straight-forward and warm. On the way to test the product. What workflow would you recommend to automize to a startup founder like me?

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Every playbook I've set up has a weird edge case within the first week. Leapility letting you iterate right in chat before it misfires on live data, that's the part that sells it.

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Great work, and nice presentation! Good luck with your launch!

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@th_calafatidis Thanks so much! Really appreciate the kind words and support 🙌

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This looks very interesting. If this is as easy to use as it looks it will be a game changer @randomlaura

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Huge potential here. Does the 'multimodal knowledge base' support uploading video/audio files as source material for the playbooks yet? I have a lot of recorded meetings I'd love to turn into playbooks.

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Love the UX and the demo. Congratulations on the launch!

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@aj_123 Glad you like it! Can't wait to see what you can build into Playbooks with Leapility :)

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Congrats on the launch! I like that Leapility focuses on real workflows instead of demos that only work in theory.

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@libin_yao Thanks!! We really wanted to build something that works in the messy reality of actual work, and release ourselves more room for the fun stuff: exploring and testing new ideas, and figuring out the Playbooks!

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#2
Kalendar.work
A free fully featured Calendly alternative
279
一句话介绍:一款免费、功能齐全且高度可定制的Calendly替代品,为团队提供日程安排解决方案,解决了用户对传统SaaS工具价格高昂、功能僵化且存在供应商锁定的痛点。
Productivity SaaS Developer Tools
日程安排工具 Calendly替代品 免费SaaS 可定制化 团队协作 预约管理 开源基础 无供应商锁定 品牌定制 无限事件类型
用户评论摘要:用户普遍欢迎免费替代Calendly的定位,关注其长期免费承诺及盈利模式。核心反馈包括:询问团队预约(如轮询)功能、集成便捷性、自定义功能(如通话统计)需求,以及对母公司Founding.dev“vibecode”构建模式的兴趣。开发者积极回应,强调免费永久、即将开源并支持用户自主扩展。
AI 锐评

Kalendar.work并非一个单纯的“Calendly杀手”,其本质是母公司Founding.dev商业模式的一个战略级“诱饵”和功能演示。它的真正价值不在于在功能层面彻底颠覆现有日程安排市场,而在于精准切入用户对主流SaaS工具“昂贵且僵化”的普遍不满,以“永久免费”和“完全可控”为价值主张,进行一场激进的市场教育。

产品介绍中反复强调的“owned, not rented”和“built on Founding.dev”是关键。这暗示Kalendar本身可能并非其核心盈利点,而是一个展示其底层开发平台Founding.dev能力的“模板”或“样板间”。通过提供一个足够实用、完全免费的成熟应用,它实现了双重目的:第一,快速获取大量对价格敏感、渴望控制权的精准用户(中小企业、初创团队);第二,生动演示其平台如何能快速构建并定制一个复杂SaaS工具,从而将用户导向其真正的业务——售卖其AI驱动的SaaS开发平台服务。

从评论区的开发者回复可以印证这一点:对于盈利模式的追问,回答直指母公司使命;对于定制功能需求,则引导用户使用Founding.dev自行构建。这是一种典型的“开源核心,售卖平台与服务”的变体策略。

风险与挑战同样明显。作为“诱饵”,其自身功能的持续投入和发展动力存疑,可能长期维持在“够用”水平。完全依赖母公司输血,其服务长期稳定性面临考验。此外,面对Calendly等巨头已建立的生态壁垒(如深度集成、企业级功能),仅凭“免费”和“可控”难以撼动主流市场。它更像是一场针对特定细分人群(极客、成本敏感型创业者)的理念宣言和平台获客实验,其成功与否将取决于Founding.dev平台本身能否兑现其“让普通人轻松构建SaaS”的承诺。

查看原始信息
Kalendar.work
Kalendar is a free, fully customizable Calendly replacement for teams that want control, not lock-in. Create booking links, manage availability, add your own branding, and run unlimited event types without per-seat pricing or artificial limits. Kalendar is built on Founding.dev and can be adapted to your workflows as your needs grow. It’s designed to be owned, extended, and used long-term not rented.

Hi Hunters👋

Kalendar is a free, fully customizable Calendly replacement you can start using today.

We built it at Founding.dev after seeing teams pay for scheduling tools that were rigid, expensive, and hard to adapt as they grew.

This is one of the templates we've built and we're on a mission to help companies build their own SaaS tools with AI instead of wasting thousands of dollars on expensive subscriptions.

I’ll be here all day, would love your feedback and happy to answer questions.

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@masoodtalha7 Congrats! How did you decide which features to include in the first version, especially as a free product?

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Congrats Talha! It looks super cool. How are you going to monetize it? It's too complicated to compete against Google Calendar beyond being free. Anyway I wish you all the best here!

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@german_merlo1 Not looking to monetize it. We're launching it for free forever. I am building founding.dev where our mission is to help companies build their own SaaS tools and saving thousands of dollars on subscriptions.

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Hello @masoodtalha7 @aima

I’ve just checked your website and it looks great. I really like that you included a comparison with Calendly’s features—it makes the decision to switch to your platform much easier 🙂

I’m currently using Calendly to set up demo meetings for my product, but I’m going to try doing it with your platform and will share my feedback.

Thanks!

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@masoodtalha7  @ksenia_sh Thanks so much for the feedback Ksenia, please do let us know whatever feedback you have at anytime. And if you need a feature that will help your work flow, let us know and we would see to it that it is done, as long as it is within our power to do so. I appreciate the time you took in leaving a thoughtful comment on our launch today. Have the very best of the rest of your day.

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@ksenia_sh Do give us a try. Our mission is for everyone to NOT pay thousands of dollar for SaaS.

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Looking forward to no longer paying for Calendly

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@zain_khalid_butt Thanks Zain! Do let us know how about your experience.

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@zain_khalid_butt many thanks!!! Yes!!! Kalendar is all shades of awesome!!!

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Thats SO awesome!

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@george_portillo1 I’m glad you liked it and thanks a lot for your support.

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Looks so vibe coded 🫩
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@wherelambo Really? Don't you like vibe coded products that are also secure?

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Congrats @aima this looks great.

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@alexmturnbull Thanks a lot for your support!

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Love the promise of this! Would be curious on your thoughts for monetization over time to cover the server costs whether differentiating on the paywall for features, ads, or something else

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@aaronwgoh Very good question. This Kalendar is a free offering from the parent company https://founding.dev - We're also going to publish the codebase next week for the world to self host if needed

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Can multiple people share one booking link with round-robin or collective availability?

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@zypressen Thanks for asking about this. Right now there's no ability to add a team. How important is this feature for you?

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@zypressen Hi Zypressen, we are hoping that when you see @masoodtalha7 question you'd respond. We are committed to making Kalendar as valuable as you require so it can serve you better, and you get the best experience out of it. We are very grateful for your support.

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If you're positioning on the price mainly, what are your monetisation plans then? Cheers!

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@davidkaufmann No monetization plan. Just a way to help people get rid of Calendly's pricing.

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Congratulations on the launch of Kalendar. Loved the custom branding feature considering I don’t have to pay for it. I want to use the Kalendar to book demos of my product with custom branding.

I was curious to know that is it plug and play for integrating with my product website or do I have to vibe code to integrate it?

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@ammaramehdghani It is definitely plug and play. Please create an event type and setup your booking page and then you should be able to link to your website.

If you want to build complex workflows, you can also import it as a template in founding.dev and then build on top of it.

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As we write with Aima... you know what is the next step :D Time wasted on calls statistics :D

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@busmark_w_nika Haha! Interestingly, Kalendar is built on Founding.dev With Founding.dev you can vibecode any feature you want. So if you are up for it, let's sure make it happen!!! lol Cheers to no more wasted calls! 🥂

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Congratulations on the launch!

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Congrats on the launch Talha and team 🎉

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@asadatnoodle thanks for the support.

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Nice one guys! A few days ago I was thinking about how shallow Google Calendar looks. Hope this goes well. Might give it a try. Would love to see an MCP around this to automate the process easier.

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@th_calafatidis Do give it a try. Later you will be able to import it as a template within Founding Dev and make any kind of changes on top of it.

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interesting product!

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@madalina_barbu Thank you Madalina, please we are open to hearing your feedback on what you'd need us to do to make you have the best experience with Kalendar thanks!

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Hey Product Hunt! 👋 I’m Aima, one of the makers behind Kalendar.work.

For a long time, scheduling tools felt like something teams had to rent rather than shape to their needs. We kept running into limits around customization, branding, and per-seat pricing as teams grew.

Kalendar.work is our attempt to approach scheduling differently, with flexibility and ownership as first-class ideas.

What makes it different:

  • No per-seat pricing as your team grows

  • Deep customization of workflows and branding

  • Built to adapt to how your team actually works

My ask:

If you have a couple of minutes, try creating a booking page. Does the flow feel flexible enough? What’s one edge-case feature you’ve always wanted in a scheduling tool?

I’ll be in the comments all day and would love to learn from your feedback 👇

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@aima Fix the landing page. How can I trust product and spend time creating a booking page, when its landing page has issues?

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#3
NMTV
I built a 24/7 MTV time machine to save my wife’s birthday
248
一句话介绍:NMTV是一款24/7不间断播放的复古音乐电视模拟应用,通过精心编排的频道和复古遥控器交互,在用户需要背景音或怀旧放松时,解决了现代流媒体“选择困难”和算法主导体验的痛点,重现了上世纪观看MTV的“懒人”式沉浸感。
Music User Experience Entertainment
复古流媒体 音乐电视 怀旧体验 线性广播 背景音乐 情绪疗愈 数字复古主义 无算法推荐 沉浸式播放 私人订制
用户评论摘要:用户普遍赞赏其强烈的怀旧情感价值与沉浸式体验,认为其精准还原了90年代MTV的观看感觉。主要反馈包括:UI设计出色,唤起童年回忆;作为背景音提升工作效率;期待Android TV版本及未来可能增加的特定节目点播功能。
AI 锐评

NMTV表面上是一个复古音乐视频播放器,但其真正价值在于它精准地狙击了当代数字娱乐的两大“倦怠”情绪:选择过载与算法囚笼。它并非提供更丰富的内容,而是通过精心设计的“限制”——无搜索、无跳过、线性播放——来创造稀缺的“确定性”和“被动性”体验。这本质上是一种数字时代的情绪商品,贩卖的是对前互联网时代媒介仪式感的乡愁。

其成功揭示了“反效率”体验的市场缺口。在一切追求个性化、交互性和控制权的当下,NMTV反其道而行之,用模拟电视的集体性、单向广播和偶然性(“zapping”)来提供一种认知减压。它的核心不是技术,而是情境构建。创始人将其包装为“送给妻子的生日礼物”这一故事,进一步强化了其情感合法性,使其超越了工具属性,成为一个文化符号。

然而,其长期发展面临关键拷问:第一,怀旧驱动的“新奇感”耗尽后,如何维持用户粘性?第二,版权问题始终是悬挂在UGC混搭(如插入YouTube播放列表)模式上的达摩克利斯之剑。第三,其“无算法”的纯粹性,在面临用户对内容广度与深度日益增长的需求时,可能会遭遇挑战。它或许不会成为主流,但它成功地证明,在“更多、更快、更智能”的科技叙事之外,“更少、更慢、更简单”同样拥有巨大的情感溢价和市场空间。

查看原始信息
NMTV
NMTV is a 24/7 TV time machine. When MTV went off the air, my wife was heartbroken—so I built her a new one for her 36th birthday. 8 Curated Channels: 80s, 90s, 2000s and more. The UX: Retro UI + keyboard support for zapping. The video is the king. The "M" in MTV: Official videos, vintage ads and classic shows—no filler. Custom Broadcasts: Add your YouTube playlists as personal tracks. Special Events: Seasonal & tribute channels. Works on all devices. No search, no skip. Just nostalgia.
Hi Product Hunt! 👋 I’m Alon, the maker of NMTV. This project started from a very personal place. My wife was heartbroken when the original MTV became... well, not MTV anymore. For her 36th birthday, I decided to build her a time machine. I wanted to recreate that magical feeling we had as kids in the 90s—where the TV was always on MTV in the background, and you could just grab the remote and start "zapping" through music channels. What started as a small birthday gift quickly took on a life of its own. I shared a prototype with a few people, and the response was overwhelming. It went viral almost overnight, proving I wasn’t the only one craving that "lean-back" 90s nostalgia. Why NMTV? While there are many playlists and video sites out there, NMTV isn't about searching or skipping. It’s about curation. I wanted to build something that feels like a real broadcast, where the video is King and the UX feels like 1996. What you’ll find in NMTV: - 8 Curated Channels: From the 80s and 90s to Rock, Hip-Hop, and Live Unplugged. - Authentic UX: A retro remote and full keyboard support for that real zapping feel. - The "M" is back: Only official music videos, vintage commercials, and 90s era-appropriate shows—no filler. - Custom Broadcasts: You can even inject your own YouTube playlists as personal broadcast tracks. I’d love to hear your thoughts! Which 90s band did you love the most, or is there a specific music video that’s forever burned into your brain? Drop a name in the comments. I'll be here all day to answer your questions and take your suggestions. 🤘 Stay tuned, Alon http://nmtv.online
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@alonhmdt i think i love this, this make sense for our age group..

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I'm a '90s kid, and this site is amazing and one of my favorite discoveries! The quality and design truly do justice to MTV, and the nostalgia kicks in ;)

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@alonhmdt This instantly took me back to leaving MTV on after school, just letting it play. No skipping, no algorithms, just vibes. It’s oddly relaxing and a little dangerous for productivity 😄
What channel are you adding next?

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I think that I fell in love with this launch. So nostalgic!

❤️❤️❤️

Thank you!

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I love it :DDDDD German techno (mady by some Italian singer) :DD

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@busmark_w_nika Haha, thank you so much Nika! ❤️ That's exactly the kind of deep-cut nostalgia I was aiming for.

(Radiohead is also one of my favorites btw)

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This reminded me of sitting in front of the TV after school. My attention felt lighter back then without endless options.

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@amarnath_kumar3 I completely agree, that 'lighter' feeling of just letting the TV guide your afternoon is exactly what's missing today. Do you happen to remember a specific favorite video from those after-school sessions?

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As a kid who grew up waiting for Cable to be installed in my neighborhood so I can get MTV I needed this thank you

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@terrence_kelleman That is exactly why I built this. I wanted to capture that feeling of finally having music television 24/7. Thank you for the support.

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that era had some dope music. how did music get worse every year since then 😂

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@conduit_design Haha, tell me about it! We definitely peaked back then. That’s exactly why I built NMTV—to create a safe haven from the 'skip' culture and modern algorithms.

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Super fun app, @alonhmdt! It was very nostalgic flipping through the channels from a Metallica video, to Green Day and so on... Congrats on the launch!

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@anthony_latona Thanks Anthony, glad you enjoyed the channel flipping; since you mentioned Metallica and Green Day, is there a specific video you remember waiting for all day to see on TV?

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awwwww, that's so sweet!

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@kate_ramakaieva Thank you, Kate! ❤️

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Great app, great idea. It runs in the background constantly while I work, makes me feel 15 again 😅

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@matan_weksler1 Thank you! That is so awesome to hear! Any specific music video that’s forever burned into your brain from that age?

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that's literally brilliant @alonhmdt

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I still remember waking up before school and watching the morning music videos. You’ve brought back some major nostalgia!

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Wow! The UX is mind-blowing - it's basically turned my smartphone into our TV. Spotify, who? Thank you!
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@charleane_servigon That’s exactly the mission: moving away from the endless scroll and back to that immersive, lean-back TV experience. Actually, since you mentioned the TV vibe, I'm currently working on a dedicated Android TV version to make it a true living room experience! Thanks for the support, Charleane!
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Hey Alon, building a time machine for your wife’s birthday is such a sweet origin story. I’m curious what was the moment she realized MTV wasn’t MTV anymore?
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@vouchy Thank you so much! 🙏 It was truly heartbreaking for her when they announced the closure. She’s actually sitting right here next to me, saying: 'I still can’t wrap my head around how something so meaningful, that had such a massive impact on my life, can just come to an end.'
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This is such a vibe! Total trip down memory lane! I spent way too much time today just reminiscing about my childhood/teen years :D UI is spot on, really captured that 90s feel.

Would love a way to pick specific shows in the future, but even as is, it’s amazing. Upvoted for the nostalgia alone! 🙌

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@valeriia_kuna Thanks Valeriia! So glad to hear it captured that 90s feel for you—that 'memory lane' trip is exactly what I was aiming for
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#4
Sheetsbase
AI formulas generator and shortcuts for Google Sheets
168
一句话介绍:Sheetsbase是一款Chrome侧边栏扩展,通过AI将自然语言转化为公式并解释现有公式,让用户在Google Sheets中无需切换标签页即可快速查询与生成公式,解决了因频繁搜索导致的注意力中断和工作流卡顿痛点。
Chrome Extensions Productivity Artificial Intelligence
Google Sheets增强工具 AI公式生成 生产力扩展 Chrome侧边栏应用 公式解释器 快捷键目录 办公效率 无上下文切换
用户评论摘要:用户普遍赞赏“保持上下文”的侧边栏设计,认为能有效维持心流。核心反馈聚焦于对AI生成公式的信任度,建议增加解释和示例以验证准确性;同时关注其对复杂情况(如区域分隔符、数组公式)的处理能力。有评论将其与Google内置AI功能对比,开发者回应称优势在于集成的快捷目录和侧边栏工作流。
AI 锐评

Sheetsbase看似解决了Google Sheets用户的表面痛点——公式查找的繁琐,但其真正价值在于对“工具认知负荷”的隐性削减。它将离散的外部知识(博客、文档)和抽象的逻辑表达(公式)整合为即时、可视化的侧边栏服务,本质是构建了一个“工作记忆外挂”。然而,其AI生成功能在专业场景下面临严峻的信任危机:公式的准确性、对数据结构和区域设置的适应性,才是决定它能否从“便捷玩具”升级为“专业伙伴”的关键。当前它更像一个智能化的快捷手册,而非可靠的AI协作者。

产品巧妙利用Chrome侧边栏这一未被充分挖掘的交互空间,避免了传统插件对界面元素的侵占,这是其设计上的精明之处。但长远来看,其护城河并不深:一旦Google将更强大的AI能力深度集成到Sheets中,或出现类似的开源解决方案,其独立价值将迅速被稀释。因此,其现阶段的核心优势并非AI技术本身,而是对“查询-应用”这一微观工作流的极致优化和动线设计。若想持续生存,必须将用户反馈中的“信任构建”作为首要任务,通过透明化AI推理过程、提供可验证的案例库,甚至引入社区验证机制,来填补当前的能力与信任之间的鸿沟。

查看原始信息
Sheetsbase
Sheetsbase is a Chrome extension that helps you work faster in Google Sheets. It lives in your chrome browser’s side panel, so everything you need stays right next to your sheet. Use AI to generate formulas from plain English and understand existing formulas with simple explanations. No guessing. No tab switching. It also includes searchable directories of formulas and keyboard shortcuts, so you can find what you need instantly. Use code FEEDBACK50 to get 50% off and help shape Sheetsbase.
Hey Product Hunt 👋 I’m the maker of Sheetsbase. I built Sheetsbase because I use Google Sheets a lot and kept running into the same problem: breaking focus. I was constantly Googling formulas, opening random blog posts, or trying to figure out what an old formula actually did. Sheetsbase lives in the Chrome side panel next to your sheet, so you can stay in context. You can generate formulas from plain English, understand existing formulas in simple terms, and quickly browse common formulas and keyboard shortcuts without switching tabs. This is an early launch and I’m actively looking for feedback. 🎉 Launch offer: Use code FEEDBACK50 for 50% off. Would love to hear what feels useful, what’s missing, or what you’d want next. Thanks for checking it out 🙏
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@atmiya Congratulations on the launch! This is such a major convenience and makes the workload feel less tedious. Not having to switch between browsers and tabs in order to find out formulas whether new or old really puts the work into a flow-state.

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@atmiya Love the “stay in context” angle - side panel is exactly where this should live. The killer feature for me would be trust: when it generates a formula, does it also explain it in plain English and show a couple tiny examples so I can sanity-check it before I paste? Also curious how you handle messy cases like locale separators, dates, and array formulas - that’s where most helpers usually fall apart. Congrats on the launch!

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This should absolutely be the product of the day.

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@paulgeller Thank you so much, that really means a lot 🙏

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This is awesome! I remember having quite a few sticky notes back when I first started to use excel/google sheets. I love how you can also generate formulas instantly which really helps to not get lost in opening up in a new tab to search for it.
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@nicc666 Thanks! That’s exactly the problem we wanted to solve, keeping everything in one place without tab hopping 😊

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Nice product 😄

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@aashu0148 Thank you! Really appreciate the support 😊

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Spent 10 mins untangling an IF chain. Sheetsbase explaining existing formulas in the Chrome side panel is what I'd use daily. Shortcuts list is handy when you blank on a combo. Hard part is grabbing the right context and staying correct across locale separators.

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Cool launch! How does this compare to Google's built-in `=AI` functionality?

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@wilco_kruijer1 Google’s =AI is great for quick help. Sheetsbase stays in a side panel and adds a searchable formula/shortcuts directory for quick access.

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#5
Archimyst
AI-powered platform for designing system architecture
141
一句话介绍:Archimyst是一个AI驱动的系统架构设计平台,能将自然语言描述快速转化为可测试的后端架构,允许工程师在编写生产代码前,对性能、成本和故障场景进行模拟验证,解决了架构设计因缺乏真实世界压力测试而在生产环境中失败的核心痛点。
API Developer Tools Artificial Intelligence
AI系统设计 架构图绘制 云架构模拟 性能压力测试 成本优化 故障演练 预生产验证 后端开发 运维可观测性 工程效率工具
用户评论摘要:用户反馈积极,肯定其在编码前进行模拟的价值。主要问题与建议集中在:AI具体如何辅助设计、是否支持登录集成、能否导出为IaC代码(如Terraform)、以及是否提供入门模板。创始人积极回应,表示正开发登录功能并考虑IaC导出。
AI 锐评

Archimyst的野心不在于绘制另一张精美的架构图,而在于成为架构的“数字孪生”沙盒。其宣称的核心价值——将想法转化为“生产就绪”架构——是最大胆也最易受质疑的宣称。真正的工程风险往往源于模糊的需求、复杂的交互逻辑与糟糕的代码实现,而非单纯的架构拓扑。平台若能通过AI将非功能性需求(如SLA、成本预算)直接转化为可量化的模拟约束,并在模拟中暴露出组件耦合、单点故障等设计缺陷,其价值将从“绘图工具”跃升为“架构决策支持系统”。

当前用户反馈暴露了其定位的过渡性矛盾:工程师既期待它作为上游设计沙盒(模拟流量与故障),又希望其产出能无缝对接下游工程实践(导出IaC)。这揭示了工具成功的关键:它必须在“快速创意验证”与“严谨工程交付”之间找到精准平衡点。若模拟过于理想化,则失去信任;若绑定具体云商或技术栈过深,则失去灵活性。创始人回应对IaC的开放态度是正确方向。Archimyst的真正考验在于,其AI模型对“现实世界”复杂性的理解深度,以及模拟引擎的保真度,这决定了它是会沦为高级玩具,还是能成为改变系统设计范式的关键拼图。

查看原始信息
Archimyst
The intelligent architecture diagramming tool for modern engineering teams. Design, simulate, and document in minutes.Archimyst is an AI-powered system design platform that transforms ideas into production-ready backend architectures. Generate, simulate, and validate cloud systems in minutes by stress-testing performance, cost, and failure scenarios before they reach real users.
Hey 👋 I’m Hritvik, the founder of Archimyst. We built this because we kept seeing great system designs fail in production not because the idea was wrong, but because the architecture was never truly tested under real world load, failures, and cost constraints. Archimyst turns a simple prompt into a living, testable backend architecture. You can simulate traffic spikes, outages, scaling limits, and cloud costs before writing a single line of production code. We’re early and actively building with the community, so I’d love your feedback — especially from engineers, founders, and SREs. What’s the one architecture problem you wish you could safely test before shipping?
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@hritvik_gupta1 Congratulations on the launch! How exactly does AI support the design process? Is it generating designs, suggesting improvements, validating constraints, or something else?

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@hritvik_gupta1 Diagrams don't crash, but 100K RPS does. Wish: Prod-scale simulation without prod risk, closest is advanced chaos + traffic replay.

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Simulating architecture before production is a great approach. For teams using AI agents to build features incrementally, having a way to validate each component's impact on the overall system would be really useful. Does Archimyst support incremental architecture updates where you can add new components and see how they affect the existing simulation metrics?

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Will you incorporate the option to log in with e.g. Gmail account?

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@busmark_w_nika  Thanks for the feedback. We are currently on it.

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Got burned when load testing came too late in a project. Archimyst letting you simulate traffic spikes and outages before code gets written is the right sequence. Exporting those constraints as acceptance criteria for the implementation team would close the loop.

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That's so cool! Does it support exporting design to IaC like Terraform or Cloudformation?

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@henryborska That's a good question. we currently only support you architecture design to get connected to IDE like cursor , Antigravity and others. And also you can download the code zip file for that architecture. But we would definitely think about that. Thanks for the feedback though .

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Turning a prompt into a testable backend architecture in minutes, that’s wild. Congrats on the launch, Hritvik! Are there any templates for simple web apps to get started?

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@eugene_chernyak Yes we do have the templates, we will be adding those soon on our platform as a starter pack. Thanks for the feedback

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#6
Superagent from Airtable
The multi-agent system that delivers finished work
133
一句话介绍:Superagent是一款基于多智能体协作的AI研究助手,通过规划任务、并行调用专业代理并整合输出,为用户快速生成可直接使用的交互式报告,解决了用户在复杂市场分析、竞品调研等场景中需要手动串联多个AI工具、难以获得完整交付成果的痛点。
Analytics SaaS Artificial Intelligence
多智能体系统 AI研究助手 自动化报告 市场分析 竞品分析 投资研究 智能体协作 Airtable生态 AI原生应用 企业智能分析
用户评论摘要:用户反馈积极,认可多智能体解决“提示词管理疲劳”的价值。主要问题集中在:与Airtable的集成方式、新用户上手路径、典型使用案例(如创业者场景)、技术层面如何保证智能体协调的可靠性及处理信息冲突。
AI 锐评

Superagent的发布,与其说是一款新产品,不如说是Airtable在AI时代一次关键的“身份重塑宣言”。它剥离了具体的表格工具形态,直指AI应用当前的核心矛盾:从“工具执行”到“成果交付”的断层。

产品逻辑上,它试图将“多智能体”这一前沿技术概念产品化,用“协调层”封装提示工程、任务拆解、结果合成等复杂性,承诺交付“成品”。这确实切中了高阶用户对当前AI交互模式“琐碎、不连贯”的厌倦感。然而,其真正的挑战与价值并非在技术演示层面。

首先,其价值深度严重依赖于“可信数据源”的整合能力与领域专业性。若仅作为通用LLM的调度器,其报告质量天花板明显,容易沦为华而不实的自动化PPT生成器。其次,“协调”的可靠性是产品生死线。评论中提及的子智能体信息冲突问题,恰恰是工程难点与用户体验雷区,处理不当会导致结论可信度崩塌。

从战略看,这是Airtable“AI原生平台”转型的关键落子。通过收购DeepSky、引入OpenAI前高管,将自身从“结构化数据管理平台”重新定位为“智能工作协调平台”。Superagent作为独立产品探路,未来与Airtable底基数据深度结合,可能形成“数据(Airtable)+ 协调智能(Superagent)”的闭环,这才是其长期想象空间所在。

但眼下,它必须证明自己不是又一个包装精美的“AI代理”概念验证,而是能在具体商业分析场景中,产出真正超越资深分析师单兵作战或传统单轮对话AI的深度、可靠成果。否则,“多智能体”恐将只是一个吸引眼球的营销标签。

查看原始信息
Superagent from Airtable
Superagent is a new AI research assistant that works like a coordinated team, not a single bot. Ask a complex question—like a market, competitor, or investment analysis—and it plans the work, pulls from trusted data sources, and delivers a polished, interactive report you can use immediately.

Announcing Superagent, from @Airtable CEO@howietl:

Today, we’re announcing Superagent, our first standalone product built on multi-agent coordination. When you ask Superagent a question, you're not getting one AI assistant doing sequential tasks. You're getting a coordinating agent that plans the work, deploys specialists who work in parallel, and synthesizes their output into a finished deliverable you can immediately use.

This approach reflects what I call 'inside out' product thinking: start with what's now technically possible at the frontier of technology, then work backward to create the right product experience. Multi-agent systems represent that frontier today.

Superagent is built on our acquisition of DeepSky and reflects our broader momentum in AI – from hiring David Azose as CTO after he led ChatGPT's business products at OpenAI, to launching Airtable for ChatGPT, to refounding as an AI-native platform.

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@howietl  @chrismessina awesome. we use airtable a lot and love it. will it be connected to airtable in some way? will start trial now

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@howietl  @chrismessina Congrats on the launch! What’s the typical on-boarding journey look like for a new user, from setup to their first completed task?

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@howietl  @chrismessina Thanks for this launch. Would it be possible to have a promo code, maybe for the folks here on PH? :)

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@Superagent from Airtable amazing guys, i'm a huge fan of Airtable for the last 3+ years, and I'll definitely try Superagent. What are the best use cases to start with if I'm a startup founder?

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We’re building a multi-agent system at Nuomy too, and our research shows exactly what you’re addressing—users are getting tired of juggling prompts. They just want the final deliverable without having to manage the AI.

This inside-out approach is definitely the way to go, but I’m curious: what was the biggest challenge in making the coordination layer reliable? How do you handle it when sub-agents find contradicting info or get out of sync?

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#7
Lost Post
The whole world is asked and answers a single question
128
一句话介绍:一款通过“每日一问,全球匿名互答明信片”的形式,在信息过载和社交疲惫的时代,为用户提供一种期待感强、低压力、促进跨文化理解的慢速连接工具。
Writing Social Media Community
慢社交 匿名社交 跨文化交流 数字明信片 每日一问 内容创作 情感连接 邮票收集 反碎片化 正念应用
用户评论摘要:用户普遍赞赏其“人性化”、“有趣”和“令人愉悦”的理念,怀念早期互联网的发现感。主要反馈包括:与已关闭的StumbleUpon类比;对非iOS用户无法使用的遗憾,并建议开发网页或邮件版;以及为可持续运营,建议从生活类杂志等渠道获取更多样化的问题灵感。
AI 锐评

Lost Post 精准地切中了一个被主流社交平台遗忘的角落:对无压力、非绩效化人际连接的渴望。它并非解决“效率”痛点,而是试图疗愈“意义”焦虑——将漫无目的的“刷”转变为有仪式感的“收”与“发”。其核心价值在于用极简的规则(一日一问)和复古的载体(数字明信片),构建了一个反算法、反瀑布流、反社交资本比较的“数字飞地”。

产品聪明地融合了多个成功要素:日记的私密感、漂流瓶的随机性、集邮的收集乐趣,以及“全球村”的地理可视化。它的匿名性剥离了身份包袱,鼓励真诚分享;而“反应”功能与邮票收集,则提供了恰到好处的轻量化反馈,维持了基本的互动循环,避免了完全的单向树洞可能带来的失落感。

然而,其面临的挑战与价值一体两面。首先,模式极度依赖持续、高质量的问题策划和用户参与度,一旦问题流于平庸或用户基数波动,体验将迅速稀释。其次,“一日一答”的慢节奏是特色也是增长天花板,用户粘性虽高但使用时长极短,商业变现路径模糊。最后,其试图营造的“美好乌托邦”社区氛围,在规模扩大后,将面临垃圾信息、恶意内容或文化冲突的严峻治理考验。

本质上,Lost Post 是一次对社交本质的浪漫主义回溯实验。它不追求DAU,而追求用户每天的“片刻期待”。在科技趋势追逐元宇宙与AI时,它选择回归人性最基本的故事交换需求。它的成功与否,将验证在高度功利化的数字时代,一款“非功利”的情感产品能否找到可持续的生存空间。

查看原始信息
Lost Post
One question. Once a day. The whole world answers. Every day, answer a new prompt and send your thoughts into the world as a postcard. Tomorrow, receive someone else's story from anywhere on Earth, anonymously. Send a quick reaction to let the writer know their words reached you. Fill your passport with stamps from every country. Watch your collection grow as voices from new places arrive in your mailbox. Make each postcard yours. Choose colors, patterns, and stamps that express who you are.
Hey Product Hunt! I really miss when the internet was a fun place to discover new things. When you could find a random website from someone, somewhere else in the world and learn something new or play a little game. Now, my phone is either boring, or endless doom scrolling. So I wanted to build something that I could be excited about every day, for just a few minutes, and would connect me to real people and experiences. That led to Lost Post. Every day, there's one single question posed for everyone to answer. It might be a creative prompt, it might be about a memory or a story you have, or something else entirely. If you respond to the prompt, then the next day, you'll receive someone else's response for that prompt, from somewhere in the world, anonymously. My hope is that it's a fun, mindful way to learn about other cultures and perspectives and experiences. That it's something I (and maybe you) can look forward to for a few minutes each day. It's like a new pen pal every day, or...non-social social media. I've built a lot of fun little easter eggs into the app too. You can send a reaction to someone's card to let them know it meant something to you. You can customize your postcard and make it truly yours. You can collect country stamps from people around the world and fill out your passport book. And you can unlock little achievements (that may unlock new features or customizations). Please give it a try for a few days and let me know what you think! p.s. If you have any ideas for writing prompts, I'd love to hear them!
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@aaronheth This is ultra cool, congrats on the launch. This reminds me of StumbleUpon from back in the day, before it became a cesspit.

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This is really beautiful. As a developer who feels stuck within the current tech trend, it's nice to see something human. Also for someone who loves to travel and collect stamps, made me smile when I earned my first stamp. Lovely app!

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@mustafabulut Totally agree about feeling stuck in the current tech trend. I'm so glad the stamps made you smile! I plan on tweaking the stamp collecting more to make it even more fun/joyful over time.

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I love reading about how people from all around the world do things. I often find myself on various subreddits like r/asklatinamerica and the r/French. I think it’s great that Lost Post lets you learn about other cultures from real people. I also think it’s also great to learn about cultures that might not necessarily be on my radar. In terms of prompting, have you thought about looking into lifestyle magazines because they do tend to have a lot of reflective questions?
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@nicc666 That's a great idea! I need so many prompts and have to balance them around being engaging, and interesting, but not overwhelming. I'll do some research. Thanks!

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Your product genuinely made me smile. In a world obsessed with productivity and performance, it’s refreshing to see something about human connection and real experiences. Lovely launch and well done 👏

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@alina_petrova3 Your comment made my day! Glad it's resonating with you just how I'd hoped it would for folks. Thanks for giving it a try.

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Fun idea, sadly can't try it because I'm not on iOS. Do you have a web version (email version 🤔)?

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@janschutte Oh, an email version is a good idea. I was thinking about starting a digest featuring a handful of posts and this is a nice way to do it, thanks!

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@Lost Post i love how fun this idea is! how did you come up with that one?

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#8
Grok Imagine API
SOTA video generation across quality, cost, and latency
117
一句话介绍:Grok Imagine API 提供了在质量、成本和延迟方面均属顶尖的视频及原生音频生成服务,支持高级对象编辑,为开发者构建端到端的创意工作流解决了高质量视频内容快速、经济生产的核心痛点。
API Artificial Intelligence GitHub Photo & Video
视频生成API 原生音频生成 AI视频编辑 创意工作流 低延迟 高性价比 对象编辑 SOTA模型 开发者工具 多模态AI
用户评论摘要:用户肯定其独特的“狂野”创意风格、低延迟与成本优势,以及原生音视频编辑简化流程的价值。同时,也提出了对模型版本锁定、更新导致工作流漂移的担忧,并指出其在动漫风格和内容审核上的特点。
AI 锐评

Grok Imagine API的发布,表面上是将一款“网红”视频生成模型工具化,但其深层价值在于试图用“风格化”和“性价比”撕开AI视频生成的应用缺口。产品宣传直指生产级应用的三大命门:质量、成本、延迟,并捆绑了原生音频与对象编辑,旨在提供一站式解决方案,这直接回应了市场对复杂、昂贵且不可控的AI视频管线的普遍焦虑。

然而,用户评论揭示了光鲜参数下的真实挑战。其一,其引以为傲的“狂野”风格是一把双刃剑,它可能意味着输出结果的不稳定和不可预测性,这与其“卓越的指令遵循”宣传形成微妙张力,暗示其更适用于创意发散而非精准执行场景。其二,开发者尖锐地指出了模型版本控制问题,这触及了AI即服务(AIaaS)的商业化核心矛盾:平台迭代优化与用户需求稳定性之间的冲突。没有明确的版本锁定和更新路线图,任何“生产级”承诺都是脆弱的。

本质上,Grok Imagine API并非在纯粹追求技术指标的绝对领先,而是在探索一条差异化的市场路径:用相对宽松的内容政策吸引特定创作者,用综合性价比吸引中小型开发者,并试图将X(Twitter)上已验证的“风格化”内容热度转化为开发者生态。它的真正考验在于,能否将这种“有趣的狂野”转化为可被产品化、规模化的稳定能力,并建立起足以让开发者信赖的工程与运营体系。否则,它可能只会是另一个昙花一现的创意玩具,而非重塑工作流的基石型工具。

查看原始信息
Grok Imagine API
Ranked #1 for quality vs latency. Grok Imagine API delivers SOTA video & native audio generation. Features advanced editing (add/remove objects) and superior instruction following. Build end-to-end creative workflows with the fastest video API.

Grok 3 is interesting, sometimes fun, sometimes sharp but doesn't feel like the AI you’d rely on every day for serious coding or deep work yet. It’s more like a confident friend who talks big and has good moments, rather than the quiet expert who always gets things right.

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Hi everyone!

Grok Imagine finally has an API!

Those videos on X coming from Grok Imagine... really show that this model has a very distinct, almost "wild" flavor.👽

Now we can build products on top of this creative baseline.

The latency and cost look really good for production use. It also handles video editing and audio natively, which simplifies the pipeline a lot.

The docs and playground are open. It is time to see if the "wildness" translates to some interesting real products.

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Does Grok Imagine API let you pin model versions, especially when add/remove objects and native audio need to stay consistent across runs? I've had creative workflows drift after silent model updates. Clear versioning plus safety knobs make this much easier to ship.

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Grok is great for anime and manga styles uniquely more than the others imo so it's good to see this kind of thing (also the loosest on censoring, I think)

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#9
MacOS Desktop Declutter
Open-source Tinder for desktop files on MacOS. 100% Free.
115
一句话介绍:一款将Mac桌面文件清理变成Tinder式左右滑动游戏的免费开源工具,通过游戏化交互解决用户桌面文件堆积、杂乱无章的管理痛点。
Productivity Open Source GitHub Menu Bar Apps
文件管理 桌面整理 Mac应用 开源工具 游戏化 重复文件检测 批量处理 效率工具 免费软件
用户评论摘要:用户普遍认可其解决真实痛点,并询问Windows版本及对其他文件夹(如下载、文档)的支持可能。核心关切在于隐私安全,开发者被明确询问如何确保文件数据不被读取或上传。
AI 锐评

这款产品巧妙地用“游戏化”糖衣包裹了“文件清理”这颗苦药,其真正价值不在于技术突破,而在于交互设计的心理洞察。它将令人抗拒的整理任务,转化为具有即时反馈和轻微成瘾性的滑动操作,降低了启动的心理门槛。

然而,其“开源”属性与“隐私安全”的承诺,才是其在敏感文件管理领域安身立命的根本。用户评论直接戳中要害:一个需要访问全部桌面文件的工具,如何自证清白?开源代码可供审计是其最佳答案,这构建了基础信任。但这也反衬出,对于非技术用户,这种信任依然是脆弱的。

从产品定位看,它目前更像一个精巧的“玩具”或单点解决方案,而非系统级的文件管理工具。用户对支持Windows及其他目录的呼声,揭示了其场景局限性。它的成功,验证了“游戏化清理”这一细分需求的存在,但天花板也显而易见:清理行为低频,桌面整理后,用户的深层需求会迅速迁移至更系统、可持续的文件管理体系。若不能从“一次性清理工具”升级为“习惯养成工具”或拓展管理边界,其用户留存将面临挑战。开发者“vibecoded”和反馈中透露的非Swift专业背景,也让人对其长期维护与深度迭代能力画上一个问号。总而言之,这是一个创意出色、切入点精准的MVP,但要从“有趣的点子”成长为“持久的产品”,还有很长的路要走。

查看原始信息
MacOS Desktop Declutter
Turn your messy desktop into a Tinder-like game. A native macOS app that lets you swipe left to trash and right to keep. It detects duplicates, groups similar files, and makes cleaning up screenshot_final_v2.png actually satisfying. 100% Free & Open Source.
Hey Product Hunt! 👋 Like most of you, my desktop is a graveyard of 1000+ screenshots, dsada.png, and PDFs I swore I'd read later. So I 'vibecoded' this simple DesktopDeclutter. It’s a native macOS app that brings the 'Swipe Left/Right' mechanic to your file management (just like Tinder). 🧹 Swipe to Bin / Keep 🔍 Auto-detect duplicates & large files 📂 Smart grouping for batch review ⌨️ Keyboard shortcuts for speed It’s 100% Free and Open Source on GitHub. Feel free to report bugs, suggest improvements, submit pull requests, fork and modify for your needs! Happy swiping! 🗑️
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@kamilstanuch Hey I can relate! It's not just my desktop though but my downloads need decluttering too! I would love to try but I am on Windows. Any plans to have this decluttering magic work on downloads, documents, photos etc also have it available for Windows users too?

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@kamilstanuch Congrats on the launch! How do you handle user privacy and ensure the app never reads or uploads files externally without consent?

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Nice to see a Mac app here, I think this one solves a real problem. I've been tempted many times to create something for Mac myself but I have not yet had an idea this good, and iOS tends to draw to much of my attention right now.

Nice work :)

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@marcus_friberg thanks Marcus! I'm not a Swift developer myself, just played around with Cursor so thought: "let's give it back to community" ;-)

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#10
YepCode
Developer-first AI integrations: build, run, scale safely
109
一句话介绍:YepCode是一个面向开发者的AI集成平台,通过提供安全的代码执行沙箱、密钥管理和基础设施支持,解决了AI代理在连接内部系统、执行生成代码时面临的安全与运维瓶颈问题。
Software Engineering Developer Tools GitHub Vibe coding
AI集成平台 开发者工具 代码沙箱 无服务器运行时 工作流自动化 AI代理工具 MCP协议 安全执行 流程编排 低代码扩展
用户评论摘要:用户反馈集中于安全与权限控制,如询问能否实现只读数据库访问。官方回应强调通过预构建的“工具”而非直接代码执行来控制权限,并指出其审计和治理层是填补市场空白的关键。另有用户询问其相比自建端点的优势。
AI 锐评

YepCode的亮相,精准地刺中了当前AI应用浪潮中一个隐秘而关键的痛点:AI“思考”与“执行”之间的断裂带。它并非又一个低代码自动化平台,其野心在于成为AI代理与真实世界业务系统之间安全、可控的“连接器”和“执行层”。

其真正价值在于三重定位的融合:首先,它是**安全沙箱**,通过隔离环境运行AI生成的JS/Python代码,并管理密钥,解决了“放行即风险”的信任难题。其次,它是**生产级粘合剂**,提供日志、调度、Webhook等本需自研的运维组件,将实验性Prompt快速转化为可靠流程。最后,也是最犀利的一点,它试图成为**工具协议中枢**,通过支持MCP(Model Context Protocol)等服务,将内部代码封装成标准化的、描述清晰的“工具”,供各类AI代理安全调用,这直指未来多智能体协作的基础设施需求。

然而,挑战同样明显。其“开发者优先”的定位,在拥抱灵活性的同时,也抬高了使用门槛,处于公民开发者与纯后端工程师之间的模糊地带。此外,在AWS Lambda等成熟无服务器函数与LangChain等AI框架已广泛使用的背景下,YepCode必须证明其提供的抽象层和安全管理,能带来远超集成这些开源组件的高效与便捷。它不是在解决一个从0到1的问题,而是在优化一个从1到100的工程化过程,其成功将取决于能否在开发者心智中,建立起“复杂AI集成=YepCode”的强关联。当前市场反馈显示,对权限治理的关切远超对功能本身的兴奋,这恰好印证了其切入点的正确——安全与信任,才是规模化应用AI代理的真正闸门。

查看原始信息
YepCode
YepCode is a developer-first platform to build, run, and scale AI-powered integrations. Write real JavaScript/Python, use any npm/PyPI package, and ship with the platform plumbing included: secure execution sandboxes, secrets, webhooks, scheduling, logs, and audit. Highlights: Yep Agent (prompt → runnable processes), MCP server/tools (turn code into agent tools), and YepCode Run (serverless runtime + SDK).

👋 Product Hunt — I’m Marcos, co-founder of YepCode.

In the age of AI agents, the bottleneck isn’t thinking—it’s doing. Agents need safe access to internal APIs/DBs/SaaS and a reliable place to run generated code with secrets, logs, scheduling and governance.

YepCode is the developer-first platform to build, run, and scale AI-powered integrations—faster and safer. It’s perfect for anyone who has reached the limits of no-code tools and needs more flexibility.

New since our last launches: Yep Agent (prompt → runnable JS/Python processes), MCP server/tools (turn code into tools), and YepCode Run (serverless sandboxes + SDK - NPM - PyPI).

Comment what you want to automate and we’ll reply with a suggested prompt + tool breakdown.

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@mmuino congrats on the launch! Does this replace a need to build your own endpoints?

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@mmuino Congrats on the launch! How does YepCode make AI integrations simpler or more powerful compared to building them from scratch?

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Hey Product Hunt!

I’m Santi, DevOps and infrastructure engineer at YepCode. With YepCode, our goal is simple: help teams turn AI and automation ideas into running processes — without infrastructure headaches.

YepCode Agent lets you create runnable JavaScript or Python processes directly from prompts in a web interface in seconds — no setup, no boilerplate.


Combined with MCP server and YepCode run, you can also turn existing code into secure, reusable building blocks that agents can call in production, all with built-in security and scalability.


We’d love to hear how you’re using YepCode Agent and MCP — and your feedback is hugely appreciated!

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Álvaro here, Tech Lead at YepCode. Super excited to share this — honest feedback is more than welcome :)

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Congrats! Can you limit access to read only? Would be cool to automate workflows from database but wouldn't want to give write access

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@daniele_packard That will depend on the permissions of the user account you provide as credentials in YepCode. Keep in mind that if you use the run_code tool, any connected agent could create scripts and use those credentials.

If you want to avoid giving agents full write access, a safer approach is, instead of using the run_code tool, to code your Processes and expose them as tools instead. With a full schema specification, you can control exactly how the tool is invoked, ensuring read-only access or limiting functionality as needed.

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Been there with the read-only question. The governance layer is what makes this usable for production DB workflows. Most sandbox tools either go full isolation (no DB access) or full trust (scary). YepCode sitting in the middle with real JS/Python plus audit trails is the gap that needed filling.

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#11
Webhound Reports
Deep research that scales with your budget
99
一句话介绍:Webhound Reports是一款AI研究代理工具,通过“预算决定深度”的模式,在用户需要进行市场分析、竞品调研或系统设计等深度研究时,解决了传统AI研究工具质量不可控、事实核查困难的痛点。
Artificial Intelligence Tech Search
AI研究代理 深度研究 预算可控 事实核查 可验证引用 市场分析 竞品分析 文档生成 B2B工具 生产力工具
用户评论摘要:用户反馈积极,认可其“质量优于速度”的理念及在基准测试中的表现。主要问题与建议集中在:明确核心用户画像(学术界或商业领域)、增加自带API密钥(BYOK)选项、确认报告风格是否可定制,以及进一步核实其引用与主张的匹配度。
AI 锐评

Webhound Reports提出的“预算决定深度”模型,看似是一个简单的定价策略,实则是对当前AI研究工具赛道一次尖锐的批判与重构。它摒弃了“即时生成”的行业迷思,将“计算量”与“研究质量”进行线性绑定,这本质上是将研究过程的黑箱,转化为一个用户可感知、可控制的透明变量。其宣称的“规划-执行-验证”循环架构,旨在解决AI幻觉与引用失准的行业顽疾,但关键在于其“验证器”能否真正进行跨段落、跨来源的逻辑一致性校验,而非简单的片段匹配。

产品真正的颠覆性价值,可能在于其试图将“研究”这项高智力活动,首次以可量化的“工程资源”方式进行部署和管理。这对于商业分析、战略咨询等需要可审计、可复现过程的专业领域具有吸引力。然而,其挑战也同样明显:一是“预算”与“深度”的关系是否真如宣传般线性可靠,存在边际效益递减的临界点;二是其报告质量高度依赖用户提示词的能力,可能形成新的专家壁垒;三是在法律、金融等超高风险领域,其“验证”机制能否达到行业合规标准,仍是巨大问号。

它并非万能研究助手,而更像一台“研究离心机”——用户投入的预算和时间,决定了最终成果的纯度与密度。它的成功与否,不取决于AI的智能,而取决于其工作流的严谨性与可验证性是否经得起苛刻用户的反复审视。

查看原始信息
Webhound Reports
Webhound Reports is an AI research agent where quality scales with the budget you give it. Simply describe what you need, set a budget, and Webhound keeps researching until the budget runs out — more budget means more sources, more depth, more coverage. Every fact is cited and verifiable. We ranked number one on DeepResearch Bench. Try it free with five dollars in credits.

Hey Product Hunt, Moe here.

Talking to users, we kept hearing the same thing: they cared more about quality and control than speed and cost. They wanted research that got better the more time and budget they gave it.

So that's what we built. Long-running research agents that scale quality with the resources you give them. Set a one dollar budget, get a concise report. Set fifteen, get a comprehensive report with hundreds of verified sources.

We ran this new deep research architecture on DeepResearch Bench and it ranked number one.

The architecture is a planner-executor-verifier loop. Planner creates research tasks, executors search and extract with citations, verifier checks the work before moving on. It keeps cycling until your budget runs out.

Reports is for generating comprehensive research documents — competitive analysis, system design research, market deep dives.

Would love to hear what you'd use it for.

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@mfkhalil congrats on the launch! You're mostly focused on academia or also business research works well?

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@mfkhalil Congrats on the launch! Which core user personas or industries is Webhound aimed at academics, analysts, journalists, lawyers, developers?

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Got burned by research agents that cite stuff but the quote doesn't match the claim. If Webhound Reports surfaces the supporting snippet in the verifier step, the budget knob becomes a real quality control.

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Awesome result on the DeepResearch Bench, congrats! Would you consider adding an option for BYOK (bring-your-own-key)?

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@wilco_kruijer1 Thanks! BYOK may be something we add in the future. Inference is being billed at cost, so it wouldn't change the price.

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Finally, an agent that doesnt rush. Quality over speed is exactly whats missing in AI research right now. Congrats on the launch, Moe! Can we set a specific tone of voice for the final report, or is it always strictly formal?

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@kostfast While there are some "hardcoded" style guidelines to help readability (using headings, avoiding walls of text), the tone/style is largely dependent on what you ask for in your prompt. This will happen both explicitly and implicitly. For example, if you ask for a "system design doc with enough technical details to implement", the style will be that of a system design doc, although you are not explicitly saying what that is. You can also explicitly ask for a certain tone, i.e. "a lit review on ___ in a casual register written for a mass market audience".

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#12
TENDERD
All-in-one fleet & equipment management software
90
一句话介绍:TENDERD是一款集成了GPS远程监控、预测性维护和实时安全警报的一体化仪表盘,帮助建筑、采矿、能源等重工业客户消除设备闲置、燃油浪费和非计划停机,最大化运营效率。
Internet of Things
车队管理 设备管理 工业物联网 预测性维护 GPS远程信息处理 运营效率 重型工业 施工管理 矿业科技 能源行业
用户评论摘要:创始人亲自介绍产品初衷并寻求反馈。用户评论主要为祝贺发布,并肯定该产品对传统重工业的价值,认为其能提升效率、提供关键业务与排放数据,但未提出具体改进建议或问题。
AI 锐评

TENDERD切入的是一个典型且棘手的“硬核”市场——重工业运营管理。其宣称的“All-in-one”价值主张,直指该行业长期存在的痛点:数据孤岛。工地上的设备、燃油、维护、安全数据往往散落在不同系统甚至纸质表格中,导致管理滞后、决策盲目。TENDERD试图通过集成GPS、预测性维护和安全警报来打破这种局面,愿景正确。

然而,其真正的挑战与价值深度在于执行层面。首先,**数据整合的深度与可靠性**是生命线。重型机械工况复杂,传感器数据的精准采集、在恶劣环境下的稳定传输,以及不同品牌、年代设备的兼容性,是技术上的第一道高墙。其次,**预测性模型的行业Know-How**是核心壁垒。仅仅告知设备“可能”故障远远不够,必须能精准预测故障部位、时间窗口,并提供可操作的维护建议,这需要深厚的领域数据积累与算法打磨。最后,**用户采纳的软性门槛**不容小觑。让习惯于传统工作方式的现场工程师和操作员依赖一个数字仪表盘,需要极致的用户体验设计和切实可见的ROI证明。

从现有信息看,产品仍处于早期推广阶段。评论区的“祝贺”多于“拷问”,缺乏来自一线用户的尖锐反馈。这提示我们,其产品价值尚未经过严酷的现场压力测试。如果TENDERD能真正解决上述挑战,其价值将远超一个“管理看板”,而成为重工业资产运营的“数字中枢”,从成本中心转化为利润驱动引擎。但如果仅停留在数据可视化层面,则可能沦为另一个难以落地、增加复杂性的IT项目。其成败关键在于:能否将炫酷的“仪表盘”变成深入设备骨髓的“神经系统”。

查看原始信息
TENDERD
TENDERD empowers heavy industries including construction, mining, and energy to maximize operational efficiency. By integrating GPS telematics, predictive maintenance, and real-time safety alerts into a unified dashboard, we help teams eliminate downtime, optimize fuel consumption, and drive measurable productivity
Hi Product Hunt, I’m Venkatesh and I lead Growth at TENDERD. We built TENDERD to help heavy industries construction, mining, energy to eliminate the inefficiencies we kept seeing on major projects: idle equipment, fuel waste, and unplanned downtime. TENDERD brings GPS telematics, predictive maintenance, and real-time safety alerts into one live dashboard. No more juggling tools or spreadsheets. Our mission is simple: give operations teams a platform that drives real productivity on the ground. We’re excited to finally share it here with you all. If you're in fleet, logistics, or heavy ops, I’d love your feedback especially on what we should improve or prioritize next. Ask us anything in the comments!
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@venkatesh_rs18 congrats on the launch. It's cool to see traditional industries on PH :)

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@venkatesh_rs18 Congrats on the launch! This is a phenomenal product. Especially for an industry that can get lost in its work because of high intensity and pressure and will definitely provide us with efficiency and a plethora of knowledge necessary for costs, business intel, emissions and utilization.

0
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#13
Kokori
Transform text to speech with a powerful macOS app
90
一句话介绍:Kokori是一款macOS本地文本转语音工具,通过内置API服务器和桌面应用,帮助开发者在本地测试阶段替代付费TTS服务,避免消耗云服务商额度,降低开发成本。
API Menu Bar Apps Audio
文本转语音 macOS应用 本地API服务器 开发者工具 语音合成 桌面应用 菜单栏集成 开发测试 成本节省 离线TTS
用户评论摘要:用户肯定其解决开发测试中消耗付费TTS额度(如ElevenLabs)的痛点,支持本地迭代。有人质疑市场饱和并询问创新性;另有用户询问是否增加德语等多语言支持。
AI 锐评

Kokori切入了一个看似“红海”但存在结构性空白的细分市场:开发者本地化TTS测试工具。其真正价值并非在语音合成算法本身,而在于精准定位了开发工作流中的成本漏洞——云TTS服务按调用收费的模式,使得开发者在反复调试和集成测试中不得不承担高昂的试错成本。产品将“本地化”和“API模拟”作为核心卖点,本质是提供了一个成本归零的沙箱环境。

然而,其面临的挑战同样尖锐。首先,技术壁垒有限,它更像一个针对特定API的本地代理或封装器,一旦主流TTS服务商推出类似的开发者沙箱功能,其存在价值将大打折扣。其次,其商业模式存疑,作为面向开发者的工具,付费意愿与云服务节省的成本直接挂钩,市场天花板明显。评论中关于“创新性”的质疑和增加语种的建议,恰恰暴露了其作为“中间件”的局限性:上游依赖语音模型的质量与多样性,下游受限于开发者的工作习惯。

它的机会在于,如果能深度绑定更多TTS服务商的API格式,成为跨平台、跨服务商的统一本地测试标准工具,或许能构建起一定的护城河。否则,它可能只是一个精巧却脆弱的“临时解决方案”,其生命周期将与上游服务商的定价策略和开发者工具完善程度紧密相关。在AI基础设施日益云化的今天,一个逆流而上的本地化工具能否持久,考验的是其对开发者痛点理解的深度,以及生态构建的速度。

查看原始信息
Kokori
Kokori TTS app for macOS: Transform text to speech with a powerful local API server & desktop app. High-quality voices, speed control, and seamless menubar integration.
Kokori was built as a result of burning through elevenLabs credits when developing projects locally. I did not want to pay for every time I tested TTS generation worked in my app before moving over to a paid production ready solution. Kokori runs an API server which accepts text, voice & speed parameters to respond with an audio file. Additionally - it offers a desktop application UI to manually generate TTS audio files, view detailed logs, see previously generated audio files and manage settings.
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@jack_callow The market for automated text-to-speech products is already saturated; it's a red ocean market.

Could you explain the innovative aspects of your product? Is it more intelligent?

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Every time I stub out a TTS call during dev, I either mock it or burn real credits. Kokori running a local API server with the same text/voice/speed params means I can iterate on the integration logic without touching ElevenLabs until I'm ready for prod.

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That is a cool idea! Are you planning to add more voices (german for example)?

Congrats on the launch!

0
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#14
Geekflare API
Scrape, Screenshot, and extract LLM-ready data
85
一句话介绍:一款将混乱网页转化为纯净Markdown和结构化数据的API套件,专为RAG管道和AI应用优化,解决了开发者从网页中提取高质量、LLM可读数据时面临的基础设施和噪音处理难题。
API Developer Tools
网页数据提取 API服务 Markdown转换 AI数据预处理 RAG管道 企业级API 无服务器架构 LLM工具 开发者工具 数据爬取
用户评论摘要:用户反馈积极,认为产品精准解决了RAG管道中手动清理HTML的痛点。主要问题集中在技术细节:是否支持HTML清洗自定义,以及如何处理JavaScript重型网站的动态内容加载。
AI 锐评

Geekflare API的重新发布,精准地踩在了AI应用数据供给的痛点上。其宣称的“为AI优化”并非空话,核心价值在于将非结构化的网页噪声转化为结构化的知识原料,这直接命中了当前RAG(检索增强生成)和模型训练中数据预处理成本高昂的瓶颈。产品将复杂的爬虫基础设施、反爬对抗、渲染引擎维护等脏活累活封装成API,本质是提供了一种“数据清洁即服务”。

然而,其面临的挑战同样清晰。首先,技术壁垒问题:评论中关于JavaScript重型站点和自定义清洗规则的疑问,直指其核心能力边界。网页解析的纯净度与兼容性是一场永无止境的军备竞赛,其服务质量能否持续稳定,是存疑的。其次,市场定位风险:该领域已有成熟玩家(如ScrapingBee, ScraperAPI),且云巨头也可能随时推出类似服务。其“企业定制”和“即将推出的智能搜索API”是寻求差异化和高溢价的尝试,但需要证明其算法在理解网页语义结构上,相比开源工具(如Readability)有代际优势。

真正的犀利之处在于,它试图成为AI时代的数据“净水器”。在“数据饥渴”的LLM面前,干净、即食的数据流比原始信息更重要。如果它能稳定提供接近人类标注质量的Markdown输出,其价值将远超简单的爬虫代理,而成为AI供应链上的关键一环。但这一切,都建立在它能否在质量、稳定性与成本之间找到那个让开发者无法拒绝的平衡点上。目前看来,方向正确,但护城河仍需时间验证。

查看原始信息
Geekflare API
Turn the chaotic web into clean Markdown. Access a suite of APIs to feed your legacy and AI apps without the infrastructure overhead.
Hi Product Hunt! 👋 I am super excited to re-introduce you to Geekflare API. We realized that while APIs for scraping existed, most weren't optimized for the new wave of AI agents and LLMs. We rebuilt it with a specific goal: Data quality for AI. If you are building RAG pipelines or training models, you know that HTML noise is a nightmare. Here is how we solve that: Clean Markdown: We convert web pages into Markdown, so your LLM can actually understand the content without the clutter. Rich Metadata: Get structured JSON metadata to provide context to your models. Enterprise Ready: We now offer custom API solutions if you need specific infrastructure adjustments. 👀 Coming Soon: We are heads-down building Search and AI-driven APIs to make data retrieval even smarter. I’d love to hear your feedback on the output quality. Let me know what you think!
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@chandankumar congrats on the launch! Is there a default HTML cleaning or it's possible to customize it?

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@chandankumar clean markdown output for llms is exactly what rag pipelines need. parsing html and removing noise manually is a pain.

structured metadata on top of that is useful for adding context to chunks.

how does it handle javascript heavy sites? does it wait for dynamic content to load or just grab the initial html?

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#15
Cntrl Bridge
Turn your Windows/macOS computer into a scriptable server
74
一句话介绍:Cntrl Bridge 将个人电脑变为轻量脚本化服务器,通过本地API实现跨设备监控系统状态与控制媒体播放,解决了用户为执行简单远程操作而依赖笨重远程桌面软件的痛点。
Productivity Open Source Developer Tools GitHub
本地API 远程控制 系统监控 媒体控制 开源工具 轻量应用 Rust开发 家庭自动化 开发者工具 桌面管理
用户评论摘要:用户高度赞赏其轻量(<5MB)、高效(Rust+Tauri)与实用价值,认为其填补了市场空白。对实时数据流(WebSockets)和React SDK表示肯定,并期待用于树莓派仪表盘开发。开发者积极互动,寻求用户案例。
AI 锐评

Cntrl Bridge 表面上是又一个“远程控制”工具,但其真正价值在于精准切中了一个被主流方案忽视的缝隙市场:**轻量化的本地自动化中枢**。它没有选择与TeamViewer等全功能远程桌面在“图形化控制”上硬碰硬,而是退一步,将电脑抽象为一个提供标准化API的“无头服务器”。这种架构选择是它最犀利的一步棋。

其价值核心在于“脚本化”与“轻量化”。通过提供类型化的React SDK和本地API,它将控制权从封闭的GUI软件中解放出来,交给了开发者和自动化脚本。用户不再是被动使用固定功能,而是可以按需组装自己的“物理快捷键”或仪表盘,无论是用树莓派还是旧手机。这本质上是一种“基础设施”思维,将电脑变成了智能家居中的一个可编程节点。

评论中反复提及的“<5MB”和“无需Chromium”,是对当前桌面应用生态“肥胖症”的无声批判。它用Rust+Tauri的技术选型,不仅实现了体积的极致压缩,更确保了低资源占用和长期后台运行的稳定性,这恰恰是作为“常驻服务”的核心竞争力。

然而,其挑战也同样明显。作为开源工具,其发展高度依赖社区生态;应用场景目前聚焦于媒体控制和基础监控,略显单一,能否激发用户构建更复杂的自动化流程(如结合Home Assistant)将决定其天花板。此外,面向开发者/极客的定位,也意味着大众市场的普及存在天然屏障。

总而言之,Cntrl Bridge 并非革命性创意,但是一次极其精准的工程实践。它用简洁的技术方案,优雅地解决了一个高频小痛点,并为自己在“轻量自动化”领域占据了一个有利的生态位。它的成功与否,将取决于能否从“好用的工具”成长为“活跃的生态起点”。

查看原始信息
Cntrl Bridge
Cntrl Bridge turns your Windows or macOS computer into a scriptable server. It runs a lightweight local API that lets you monitor system stats, control media playback, and manage power state from any device on your network. Built with Tauri & Rust.

Hey Product Hunt! 👋

I built Cntrl Bridge because I was tired of needing heavy remote desktop software just to pause Spotify or see if my PC was overheating while I was in another room.

I wanted something simple: A local API for my computer.

I originally built a prototype in Go, but recently rewrote the entire thing in Rust + Tauri v2. It's now super lightweight (<5MB), fast, and reliable.

What you can do with it:

  • Stats: Stream real-time CPU/RAM usage via WebSockets.

  • Media: Control Spotify/System audio (Play, Pause, Volume) from your phone or Pi.

  • Power: Remote Hibernate, Sleep, or Shutdown.

  • Secure: Secured with API Keys and IP Whitelisting.

For Developers: It comes with a typed React SDK (@cntrl-pw/sdk) so you can build your own custom "Stream Deck" or dashboard in minutes (I run mine on a Raspberry Pi).

It's 100% Open Source. I'd love to hear what you think! 🚀

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this is the kind of simple tool that should exist but nobody built until now. dont need teamviewer or anydesk just to pause any running app from another room.

rust rewrite under 5mb is impressive. most electron apps for simpler stuff are 200mb.

the react sdk is a nice touch. gonna try building a simple dashboard on a spare pi.

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@topfuelauto 
Thanks for the review, Mostafa!

The sub-5MB binary was a key goal - wanted this to be something you can leave running 24/7 without thinking about it. The SDK is designed to make custom dashboards stupid simple (literally just `npm install @cntrl-pw/sdk` and you're off).

If you end up building that Pi dashboard, I'd love to feature it in the docs as an example! Feel free to ping me on GitHub.

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ui so buttery my cat is sr sysadmin. elite stuff

^._.^

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Rust + Tauri under 5MB is the part that actually matters. Every local control tool I've tried either bundles Chromium or needs a full SDK install. WebSockets for realtime stats plus a typed React SDK means you can wire this into dashboards without reinventing the IPC layer.

0
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#16
Emra / Always on Transcription and PTT
Type with your voice and always-on transcription
73
一句话介绍:Emra是一款集实时语音转文字和Push-to-Talk输入于一体的工具,通过后台常驻转录和快速语音输入,解决了用户在会议记录、灵感捕捉等场景下思维被打断或信息流失的痛点。
Windows Artificial Intelligence Apple
语音转录 实时转写 生产力工具 会议记录 语音输入 效率软件 信息捕捉 常驻后台
用户评论摘要:目前有效评论极少,主要为创始人发布的产品介绍和推广信息,提及了产品理念、核心功能及早期优惠。尚无真实用户提出的问题或建议反馈。
AI 锐评

Emra瞄准的是一个拥挤但痛点明确的赛道:信息留存与效率提升。其提出的“Always-on Transcription”和“Push-to-Type”双模式,试图覆盖从被动记录到主动输入的全场景,野心不小。核心价值在于将语音这一高带宽、低操作成本的输入方式,无缝嵌入数字工作流,旨在保护用户的“心流”状态,这切中了知识工作者深层的效率焦虑。

然而,其真正的挑战与价值考验在于后续执行层面。常驻转录对隐私的敏感性、音频处理的精准度(尤其在多人会议环境)、以及最终生成的文本如何结构化成为可用的“知识”而非杂乱的“文字”,这些都是技术、伦理和产品设计上的深水区。目前仅靠创始人的介绍,缺乏早期用户的实际体验验证,其宣称的“140wpm”速度和后台转录的实用性存疑。

产品规划中提到的“集成摘要”功能,才是其可能构建壁垒的关键。如果转录仅停留在文字层面,它只是又一个听写工具;若能通过AI有效提炼要点、生成行动项、关联信息,它才有机会从“记录工具”升级为“认知副驾”。早期访问的优惠能吸引尝鲜者,但长期留存取决于其解决噪音信息、提供真正洞察的深度。在AI语音处理基础设施日益成熟的今天,产品的胜负手或许不在于“能否转写”,而在于“转写后如何赋能”。

查看原始信息
Emra / Always on Transcription and PTT
Put your words to work. Speak to type at 140wpm. Transcribe meetings, ideas, or scattered thoughts.
Hey Product Hunt! Glad to be back. We as people have created more words than anything else in human history. We believe words have power and shouldn't go to waste. That’s why we’re introducing Emra Voice. It’s an all-in-one transcription tool designed to help you capture that power. You can use push-to-type to immediately paste your spoken words anywhere on your computer, allowing you to stay in your stream of consciousness. It also runs background transcription, which is great for creating meeting summaries or finding insights while you work. We are launching Early Access today and are giving 50% off for a year to the first 100 users who use promo code: LAUNCH50 We’re planning on integrating summaries and other features in the coming weeks and can't wait to show you what we have next. We’d love to hear your thoughts and answer any questions!
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@jarrenrocks 🔥🔥🔥

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#17
MarketCrunch AI
Your Personal Quant Analyst for Trading.
62
一句话介绍:MarketCrunch AI是一款面向专业零售交易者的个人量化分析工具,通过深度AI模型分析海量数据,提供附带置信度和解释的次日及周度价格目标,旨在解决用户在交易决策中面临的信息过载与AI“黑箱”幻觉问题,帮助其更理性地决定交易、仓位或跳过。
Fintech Investing Artificial Intelligence
AI金融分析 量化交易 股票预测 零售投资 深度学习 决策支持工具 透明度 风险管理 投资研究 数据驱动
用户评论摘要:用户普遍赞赏其提供置信度、背景解释和回测的透明度,认为这有助于负责任地决策。核心问题与建议集中在:模型技术栈是否真为“深度AI”、如何防止过度拟合、置信度随时间与市场变化的演变、是否支持非美股,以及如何设置风险阈值以适应不同交易风格。
AI 锐评

MarketCrunch AI的亮相,直指当前“AI股票研究”领域的两大痼疾:披着LLM外衣的聊天机器人带来的数字幻觉,以及缺乏可解释性的“黑箱”预测。其宣称的核心价值并非在于预测的绝对准确性,而在于将AI的“不确定性”进行量化与可视化——通过置信度标记、回测上下文和清晰驱动因子,试图将模糊的“AI信号”转化为可供专业判断的“风险参数”。

产品在理念上颇具亮点,它不承诺“圣杯”,而是提供“仪表盘”。这一定位巧妙地规避了金融预测工具最易受到的“准确性”拷问,转而强调决策支持流程的严谨性。从其技术架构看,核心是深度神经网络(前馈网络与LSTM)的预测,外层则用GARCH、XGBoost等经典方法进行校准,这更像一个“深度学习+传统量化”的混合体。这种设计务实且聪明:用深度学习捕捉复杂非线性关系,再用更稳定、可解释的经典方法约束输出,以增强结果的稳健性和信任度。

然而,其面临的挑战同样尖锐。首先,“深度AI”的营销话术与混合模型的实际构成存在认知落差,可能引发资深用户对其技术先进性的质疑。其次,如何向用户有效传达“置信度反映预测范围紧密度,而非绝对准确率”这一核心概念,是巨大的用户教育工程,评论区对此的追问已现端倪。最后,作为面向零售交易者的工具,在提供强大数据的同时,如何设计有效的“防过度信任”机制(如评论中提到的仓位引导或变化追踪),防止用户盲目跟从,是其商业伦理与产品设计上的关键考验。

总体而言,MarketCrunch AI的价值在于尝试在嘈杂的AI投资工具市场中,树立一种“负责任的透明度”新标准。它能否成功,不取决于其AI预测能否击败市场,而取决于它能否真正培养起用户基于概率和证据进行决策的习惯,从而将自身从“预测工具”重塑为“理性决策的脚手架”。这条路正确但艰难。

查看原始信息
MarketCrunch AI
Most “AI stock research” tools are dressed-up ChatGPTs, or worse, hallucinating bots. At MarketCrunch AI, we built a deep-learning quantitative AI model that analyzes 300 million+ points daily - including macro, price action, news - to give you 1-click next-day + weekly price targets. Our AI shows its work: each price target has confidence markers, backtest, and clear drivers to help you can decide on trade / size / skip. Our fans say, its Bloomberg terminal for Robinhood users.

Hi! I'm founder & CEO of MarketCrunch AI and @ashim_datta2 (CTO) and I are super excited to share an update.

Most “AI stock research tools” feel like screeners, or worse hallucinating bots!

We built MarketCrunch AI ground up using a proprietary Deep AI model to crunch large numerical set. Not your run-of-the-mill LLM/language model, which we believe can't reliably process numbers or worse hallunicates!

We help you be more disciplined traders with: next-day + weekly price targets with confidence, backtest context, and a clear explanation, so you can decide on trade / size / skip.

Who it’s for: Pro retail traders and/accredited investors to complement their research with unique quant-based insights.

What you’ll see inside:
✅ Next-day + weekly price targets with hit-rate, backtest, technicals, and confidence level - in plain English
✅ Suggested Options based on our price target and a tool to explore strike-price + days-to-expiry

✅ AI-picks published ~5PM PT everyday by our model (no human review)

✅ Pulse: scans 2000 stocks across scores of indicators during Market open so you don't have to.

✅ Free emails alerting for 'Breakouts' with option to add watchlist and alerts.

What I’d love feedback on:
❓ Does the confidence + evidence make it easier to act responsibly (or to skip a trade)?
❓ What’s unclear, missing, or feels like “black box” hand-waving?

Note: This is research tooling, not investment advice. If you reply with a ticker you follow + your time horizon, I’ll help interpret what you’re seeing.

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I like the workflow angle: scan picks, sanity-check volatility/momentum, then decide entry/skip with rules. If you had to pick one feature that makes this ‘actionable,’ what is it?

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@ashim_datta2  @bhushan_s When do you plan to cover data beyond US stocks

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Tried MarketCrunch AI on $AMZN. What clicked: it doesn't just spit a number—there's confidence + context so I can decide 'trade / size / skip.' Curious how you think about calibration over time

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@shaurya_prakaash — sharing two posts on how we think about confidence and calibration:

  1. https://marketcrunch.ai/blog/stock-price-forecasts-approaching-uncertainty-with-deep-ml
    Note: confidence doesn’t automatically mean “accurate.” In our analysis reports it mostly reflects how tight the forecast range is (i.e., uncertainty)—kind of like “20% chance of rain” means rain is possible, but uncertain. That said, we show in the blog post that forecasts tend to be more accurate at the very highest confidence levels.

  2. https://marketcrunch.ai/blog/many-models-one-signal-how-ensemble-calibration-improves-stock-price-estimates
    We use ensemble calibration to keep learning from past errors, so as we make more predictions, the system improves over time.

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@shaurya_prakaash Appreciate you trying it on $AMZN! We calibrate per prediction using simulations and over time track errors to self-adjust.

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Love the focus on explainability and confidence tags, that’s a refreshing differentiator in the AI finance space. Curious how you’re thinking about evolving confidence as markets change over time, and whether users can tune risk thresholds to match different trading styles. Would love to hear your perspective.

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@shilpa_akunuri - Thanks Shilpa — appreciate that. On “confidence evolving”: our confidence tags are driven by Monte Carlo simulations (we run the model many times and measure how stable the prediction is). When markets get noisier / regimes shift, you’ll typically see wider dispersion leading to lower confidence, because the model’s outputs vary more across runs. We also monitor this over time and recalibrate / retrain so the confidence remains interpretable.

On risk thresholds: we don’t hard-code “one size fits all” rules. Instead we surface the full set of metrics (prediction, confidence/uncertainty, relevant context) and encourage users to apply their own judgment based on their risk appetite.

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Super excited to see this go live ! I like the fact is just not throwing a wild guess number but goes into the details of providing confidence guardrails so I can factor those signals into my trading decision.

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@amit_chopra1 exactly! We don't want to give false confidence, but provide relevant supporting data to help you trade/size/skip. Here's a blog where we explained an explore options strategy.

Also, others who's passing by, this separate blog talks about how to assess the prediction.

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Backtests are where most tools get hand-wavy. What evidence do you show so users can judge if this is overfit vs legit?

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@islam_toba Totally fair. We’re opinionated about showing receipts without fake certainty. If you’re evaluating rigor, what’s your minimum bar: walk-forward tests, out-of-sample windows, regime splits, or a live/paper tracker that updates daily?

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Based on the blog posts you are doing garch + isotonic + xgboost. And i believe you have started to look at LSTM. The former is not deep neural networks. I am not saying its a bad model stack, but do you see it as deep AI tech?

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@satya_chilukuri - Great question Satya. You’re right. GARCH / isotonic / XGBoost aren’t deep nets. That’s our calibration layer (post-processing).

The core forecast comes from an ensemble of deep models (~45M params across feed-forward NNs + LSTMs). After they predict, we use GARCH + isotonic + tree-based calibration to learn from past errors and make the output more reliable / interpretable across regimes.

So it’s deep learning for the signal + classical ML for trust & stability.

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I’m usually skeptical of AI forecasts because they’re marketed like guarantees. I like that you’re framing it as uncertainty + scenarios. What guardrails do you have to prevent people from over-trusting the target?

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@preethika_rangamgari You’re 100% right to be skeptical. Today we emphasize ‘target ≠ promise’ and show confidence/context; we’re also exploring onboarding checkpoints + clearer ‘when to skip’ cues. If we added one hard guardrail, would you prefer: max-position guidance, confidence thresholds, or a ‘what changed since yesterday’ diff?

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#18
LoudAF
The Content Studio System For Category (or Thought) Leaders
51
一句话介绍:一款为行业或思想领袖设计的内容操作系统,通过自动化市场调研、策略规划和多格式内容生成,解决创作者因时间匮乏而难以持续产出高质量权威内容的痛点。
Social Media Marketing Artificial Intelligence
内容创作操作系统 AI内容生成 社交媒体管理 市场调研自动化 多平台内容分发 效率工具 创作者经济 个人品牌建设
用户评论摘要:用户普遍认可其节省时间、简化从创意到发布流程的核心价值,特别赞赏“搜索意图雷达”和“苏格拉底式AI”在策略层面的帮助。主要反馈是工具能恢复内容创作的乐趣,并有效解决“为自己创作”的持续性难题。未发现明显功能性质疑或改进建议。
AI 锐评

LoudAF的野心并非替代写作者,而是重塑内容生产链条的前端——研究与策略。它精准切入了一个高阶痛点:专业创作者和创始人的“研究时间税”与“自我创作悖论”(善于服务客户,却疏于经营自身)。其宣称的“内容操作系统”定位,将散乱的工具(趋势发现、角度提炼、多格式适配)整合为一个线性工作流,本质是试图将“思想领导力”这种模糊概念工程化为可重复的标准化产出。

产品亮点在于其“苏格拉底式AI策略师”,这暗示其AI干预点前置到了创意构思阶段,旨在对抗通用AI写作产出的同质化“正确废话”,通过提问引导注入行业专有术语和独特视角。这比单纯优化文笔更具战略价值。

然而,潜在风险亦存于此。首先,其高度依赖Google和Reddit的“市场意图”数据,可能导致内容策略偏向于追逐即时热点,而非构建真正独特、前瞻的思想体系。其次,“一键注入8种引擎”的效率承诺,可能以牺牲内容在特定平台上的原生感和深度互动性为代价,陷入“内容批量改尺寸”的陷阱。最后,早期评论几乎全部来自利益相关者或热情早期用户,缺乏对输出内容权威性、深度以及长期品牌塑造效力的中立评估。

真正的考验在于,它能否帮助用户从“高频发声”跃迁至“高质量权威”,而非仅仅制造更多噪音。如果其AI策略能持续深化,真正理解不同垂直领域的知识图谱,它可能成为专业人士的内容“副驾驶”;若止步于信息重组与格式转换,则终将沦为又一款精致的“内容流水线”工具。

查看原始信息
LoudAF
Stop being the best-kept secret. LoudAF is a Content OS turning market intent into high-authority assets in seconds. Automate your 20-hour research grind. Discover: Extract ‘gold’ from Reddit/Google trends. Strategize: Refine angles via Socratic AI. Execute: 'Direct-Inject' research into 8 engines—Carousels, Threads, & Articles—in one click. Stop guessing. Start dominating.
Hi Hunters! 👋 I’m David, and I built LoudAF because I was tired of seeing brilliant founders and experts remain the "best-kept secret" in their niche. The reality is that time is the biggest barrier to authority. Most people don't have 20 hours a week to spend on manual research and content creation. Because of this "time tax," many founders end up being completely invisible to the very people who need their products and services most. We built LoudAF to kill that time barrier and close the "gap" between having an idea and hitting "publish". We’ve turned market research and content production into a Content Operating System that works in seconds, not hours. LoudAF isn't just another AI writer. It’s a 3-step growth engine: Discover: We use the Search Intent Radar to find exactly what your market is searching for on Google and Reddit. Strategize: Our Socratic AI Strategist asks you probing questions to ensure your angle is unique and jargon-rich, not generic. Execute: Our Direct-Injection technology "teleports" that research into 8 specialized engines—from Carousels and Threads to long-form Articles—in under 60 seconds. If you're tired of being invisible and ready to build the brand you deserve, we’re excited to offer a 14-day Free Trial to the Product Hunt community today. I’ll be here all day to answer your questions and hear your feedback. Stop guessing, start dominating. Let’s get LoudAF! 🚀
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@davecala Product is great, been using it for over a month

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@davecala David and Drew build time-saving, practical-use software that makes life easier. Coming up with ideas, writing content, and posting it on social media is time-consuming. LoudAF solves this problem and will make this job a breeze.

You owe it to yourself to check it out. Watch how easy it is to be everywhere on social media in just a few minutes a day.

Congrats to David and Drew for this incredible software. Every online marketer needs this in their toolkit.

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Love this tool! It's been a lot of fun using it so far!

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@austin_armstrong Thank you! I appreciate you!

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@austin_armstrong Wow! What an honor! Thanks so much for your support and kind words! We love Syllaby too! We will definitely be using it to create faceless and other videos to promote LoudAF.

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David builds awesome software, and LoudAF fills such a needed gap!

Content creation is such a chore for clients that I often forget to create for my own agency. I preach visibility and exposure all day long, but then I look at my own social presence and... crickets. The irony isn't lost on me.

What I love about LoudAF is that it actually solves the real problem - not the writing itself, but the hours of research and strategizing that come before you ever put fingers to keyboard. That's the part that kills momentum. By the time I've figured out what my audience is actually searching for and developed a unique angle, I'm mentally exhausted before I've written a single word.

The Search Intent Radar alone is worth it - knowing what people are actually asking about rather than guessing is game-changing. And the Socratic Strategist that pushes you to refine your angle? That's the kind of thinking partner I need when I'm staring at a blank screen.

Congrats on the launch, Dave & Drew. You guys built something agencies like mine desperately need. Can't wait to see how this helps me finally practice what I preach.

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@carla_mcneil Thanks so much Carla! Your support and transparent feedback means a lot to us!

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LoudAF was just what my agency needed - a way to get in front of more potential clients. I was preaching visibility and exposure to my clients, yet I was not doing that for my own agency. So thank you to Dave & Drew for this awesome tool. You guys rock and LoudAF rocks.

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LoudAF has honestly become my go to tool for getting my ideas out of my head and into formats I can actually use. I always have a bunch of thoughts floating around, and this is the first platform that helps me shape them into something clear and shareable. It keeps my real voice intact and somehow turns one idea into posts, carousels, scripts, and bite‑sized pieces of content that still feel like me. It makes content creation feel fun again instead of something I have to force myself to do.

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Great software that creates great content also creates images that corresponds to thecontent it produces.

the content the software it produces are for various social media platforms that are custom to that platform which is awesome. Software saves me a lot of time .

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I use this daily! My team loves it and it saves me hours per day.

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Looks like LoudAF (love the name) is just what I needed in my life!

I have been silent in the background for many years because of what I found to be a very tedious process: creating consistent content to post for myself (for clients, I am a beast; for myself, not so much). So I just didn’t.

Looks like LAF is going to eliminate that hurtal.

Thanks for building a platform that looks easy to use, and will eliminate the many hours of my content headache.

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LoudAF has become my go-to tool for turning the ideas in my head into content I can actually use. I’m always full of ideas, and this is the first platform that actually helps me turn them into clear, shareable content without losing my voice.

It takes one thought and turns it into posts, carousels, scripts, and short-form content that still sound like me — and even creates images that match, all tailored to each social platform. It saves me a ton of time, and for the first time in a long time, content creation feels fun instead of forced.

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This looks like a HUGE time-saver for anybody who wants to get LOUD AND PROUD online!

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The name says it all. If you want to increase your visibility across multiple platforms without increasing the 'time suck' get loud and proud, get LoudAF.

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Amazing tool for making amazing content
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Congrats on the launch! The time tax framing is real. Most generic AI writers still feel pretty sloppy for social content, so I’m curious what level of quality LoudAF can deliver. Will give it a try soon. Best of luck guys!

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@th_calafatidis We use this in our company and for clients This tool @davecala built does a great job. Take the trial and see for yourself!

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We’ve been using this product for a few weeks now. It’s been brilliant for generating new content. Lots of great features and more added since we first got access.

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All the best with the launch here.. I’m a launch user.

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When you visit the website and see what this tool can do for you... it's a "no brainer" (especially at this launch price). Knowing this team now for several years, I can tell you they build "rock solid" product (… and their always adding & improving features)…. as equally important (if not more so) - their support is "off the hook"... Highly Recommended!

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Thanks guys this system is pretty awesome - saves so much time and I can finally commit to social posting without the headache of not knowing what to share.

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Great product from Dave, Drew and and Jeff. A Swiss Army knife of publishing, Ai and creating incredible content that turns you into a publishing machine. This is a top 10 product so far in 2026.

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So excited to get started. Looks like an awesome platform. Can't wait to dive in!

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I have purchased from the Loud AF team with some of their other softwares and training before and have always been 100% happy with my purchase. Loud AF is no exception their best software and highly recommend this software if you need to regularly create content!

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I've been using this now for a few months, and the simplicity and ease of use is crazy! I love the ability to reuse trending, viral and hot posts so my biz is always using fresh info.
Love it!

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Very cool and fun to use! Will be super helpful in systemizing my content creation!

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I help the smallest businesses with their marketing, and am always looking for simple and super affordable options for them. LoudAF is an incredibly well thought out tool, SO powerful, yet elegantly easy to use.

I am now using it for my own agency, and I can have clients get their own and be on their team to help them.

Way to go !

Highly recommended.

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This has saved me hours by not having to trawl the internet to find content that I then have to rewite.

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More great stuff from Dave and Drew! Software that actually works by agency owners FOR agency owners...and everyone else too!

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This is a fantastic solution for keeping on top of trends in your industry and building a frictionless system for posting innovative and thoughtful content consistently.

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I’ve followed David and Drew for years, and they consistently build thoughtful software and create training programs that solves real problems. LoudAF fills a gap I’ve personally felt for a long time.

I spend my days encouraging clients to create consistent content, yet my own agency’s social presence often gets pushed aside. Not because I don’t know what to say, but because the research and strategy work before writing is what drains my energy.

That’s where LoudAF shines. It removes the guesswork by grounding ideas in real conversations, then helps refine your angle so the content actually sounds like you. Instead of starting from a blank screen, you start with clarity and momentum.

Congrats on the launch, David and Drew. This is the kind of tool agencies like mine actually use, and I’m excited to finally practice what I preach.

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Congrats on the launch! Positioning this as a content operating system rather than a writing tool makes sense, especially with the research - strategy - execution flow. How does LoudAF ensure the unique angle it surfaces stays genuinely differentiated over time, and doesn’t converge toward the same narratives once multiple users are targeting similar search intent?

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LAF takes away the friction, the overthinking, and the time drain that made consistency feel impossible.

It's actually a simple platform that doesn’t eat my day or my will to live? Wild.

This makes daily content fun & easy!

..and turns content from “ugh” into “okay, let’s go.”

Thanks guy:)

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#19
Hypereel
A smart way to win Hackathons
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一句话介绍:Hypereel 是一款将AI聊天记录或项目讨论快速转换为吸引人的预告视频的工具,核心解决了黑客马拉松团队在时间紧迫、缺乏视频编辑技能下,难以制作高质量项目演示视频的痛点。
Marketing Developer Tools Video
黑客马拉松工具 AI视频生成 项目演示 营销视频制作 效率工具 开发者工具 智能剪辑 内容创作
用户评论摘要:用户普遍认可其核心价值:为开发者/非设计师节省大量视频制作时间,输出效果超出预期。主要建议包括:希望增加更多视频模板、动画效果以防止同质化,以及支持上传更多元的产品资料(如图片、视频)为AI提供上下文。
AI 锐评

Hypereel 切入了一个精准且痛感强烈的细分场景——黑客马拉松的演示环节。其真正价值并非简单的“AI生成视频”,而在于将团队散乱、即时的沟通记录(如AI聊天窗口)这一“过程副产品”,结构化、叙事化,包装成具有传播力和说服力的“成果展示”。这本质上是为技术团队提供了最低成本、最快速度的叙事能力,将“构建产品”与“讲述故事”这两个在高压竞赛中常被割裂的环节无缝衔接。

从评论看,其“能用”甚至“好用”已得到早期验证,但潜在风险也清晰可见:一是输出视频的模板化风险,若无法提供足够的自定义和多样性,新鲜感过后易被视作“另一个同质化AI工具”;二是其场景深度绑定黑客马拉松,市场天花板明显。团队提出的“按需付费”模式虽有利于冷启动,但也侧面反映了其作为利基工具在定价上的犹豫。

产品的长远考验在于,能否从“黑客马拉松的演示急救包”,演变为更普适的“敏捷产品叙事平台”,服务于日常的产品迭代、进度汇报乃至众筹预热等场景。当前版本是锋利的“手术刀”,但要想成长为常备工具,必须在保持生成速度优势的同时,极大地丰富其“手术刀”的型号与功能。

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Hypereel
Be the reason your team has the best pitch video in the room. Hypereel turns your AI chat or project discussion into an engaging teaser video, ready in minutes, to make the jury remember you. PS: If you are curios if the video brings Ralf the win at his next Hack (07.02), follow here: https://www.linkedin.com/in/ralfboltshauser/
🚀 Hey Product Hunt! We’re Ralf & Scott, the makers of Hypereel. 👉 We built Hypereel because we want to help hackathon participants get noticed by the jury. 💡 With Hypereel, you can turn your AI chat or project discussion into an engaging teaser video, ready for the big stage in 5 minutes. 🏆 It works: participating in multiple hackathons since 2023, we and our friends have taken home more than $10K in prize money. 🎁 Product Hunt special: we’re offering pay-what-you-want. Details are on our site. ❓ We’d love your feedback: what part of pitching or demoing at hackathons is hardest for you today? Thanks so much for checking us out 🚀 We’ll be around all day to answer questions.
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Love the idea, congrats on the launch! I am very curious to see how the project will evolve in the future, keep up the good work!

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@elv1s42 
This is very kind! Thanks for your message!

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This is awesome!! This is exactly the kind of tool hackathon teams dream of at 3 AM. Turning a chaotic Claude/Cursor thread into a clean, jury-friendly teaser video without touching Premiere or CapCut. Huge time-saver for non-designer devs. Congrats on the launch Ralf & Scott, and love the pay-what-you-want PH deal. Just tried a quick test with my last project chat: the output feels surprisingly polished already. Upvoted and sharing with my hack group!

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@chapiware

Thx so much for your message. This is great!

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Congratulations on the launch! I can imagine this will save so much time for indie developer who doesn't have video editing background to create the first draft of the product marketing video. Excited to try this with my app Joodle 🔥

All the best!

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@li_yuxuan 
Thank's for your comment!
Let me know, how it worked out with Joodle!

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Congratulations on the launch! This saves a lot of time!
I was wondering if I could put my product's metadata(like existing videos, images, or thumbnails) to give your AI more context on what I'm building? Basically, any other information not present on my landing page

Good luck!

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@prastik 
Thank you so much for your kind words!

At the moment, Landingpage and AI Context are your two options. But your ideas are definitely worth to implement! I will let you know when it's done.

Have a great day!

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First things first, congratulations on the launch guys!

I’ll definitely use use Hypereel for every launch on my projects. Great job!

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@lvrpiz 

Thanks so much for your comment! Means a lot to us :)

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Nice idea! I tried it, and it’s quite convenient to use for simple teaser videos. Do you plan to add more animation templates? Or perhaps the ability to choose from several effects/transitions so videos don’t look too similar?

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@kristina__grits 
Thank you so much Kristina for your message and your question.
We are currently brainstorming about how i can bring more variation in the Output. More templates and effects/transitions are definitely on the table :) We will let you know as soon as we ideated the best option.
Wishing you the best of luck with Glam AI :)

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I used it, and it does the job really well!
Congrats on the launch guys!

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#20
Kite
Websites that build and run themselves with AI agents
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一句话介绍:Kite是一款通过对话式AI代理,为小型企业主自动生成并维护高质量、定制化网站的工具,解决了非技术用户创建专业网站门槛高、耗时长的痛点。
Website Builder Artificial Intelligence
AI网站生成 无代码开发 对话式交互 移动优先 小型企业 定制化设计 多智能体协作 品牌展示 自动化运维 免费增值
用户评论摘要:用户反馈两极。正面评价认为其像“口袋里的全能团队”,极大简化建站流程,设计选项和生成内容质量获赞。负面反馈集中在基础功能缺失,如自定义域名设置支持不足、无法导出代码自主托管,引发对产品成熟度和定位(技术vs非技术用户)的质疑。
AI 锐评

Kite的野心并非又一个“AI套壳”的模板化建站工具,其真正价值在于试图用多智能体架构重构网站生产与运维流程。它将传统建站中离散的、需要专业技能的环节(需求分析、视觉设计、文案、开发)封装成专精的AI代理,并通过对话这一低认知负荷的界面进行调度。这使其目标用户画像极为清晰:毫无技术背景、需要快速建立线上品牌存在的小企业主。

然而,产品当前呈现出的“撕裂感”值得玩味。一方面,它宣扬“无需提示词技能”的极致简易性,瞄准非技术用户;另一方面,早期尝鲜者(如Product Hunt社区用户)却迫切要求代码导出、GitHub集成等深度开发者功能。这暴露了其从“最小可行产品”向“成熟平台”演进中的核心矛盾:在讨好技术先锋与服务真实目标客群之间如何取舍?评论中关于域名设置支持的投诉,正是其工程化与用户体验细节尚未打磨到位的体现。

其宣称的“网站自我运行”愿景——即将引入SEO、营销、数据分析代理——才是更大的赌注。这意味著Kite志在成为网站的“自动驾驶系统”,从一次性构建工具转变为持续的运营伙伴。如果成功,它将开启“服务即网站”的新模式,但其挑战也在于此:需要极深的领域知识将复杂营销逻辑产品化,并需建立用户对AI长期自主运营的信任。目前来看,Kite在“从0到1生成”的演示上令人惊艳,但“从1到N运维”的可靠性与深度,将是决定它能否飞越早期采用者鸿沟的关键。

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Kite
Kite turns conversation into agency-quality websites. Chat to answer a few questions about your business, then get three custom designs created for you (not templates). Select, refine, and launch from an AI-native, mobile-first interface. Make changes freely with built-in guardrails that validate edits. Free tier available (plus 14-day Creator trial).

Hey Product Hunt, I’m Abhishek. Today we’re launching Kite, a website builder that turns a conversation into a real, launch-ready site.

Our bar is simple: Kite should ship sites that look like a real designer made them.

Most website tools still leave you with the hard parts: layout, copy, and visuals. Templates give everyone the same starting point. “AI builders” often need tight prompting, or you end up with that generic vibecoded feel.

We built Kite to fix that. Kite interviews you about your business, customers, and what makes you different. That chat becomes the source of truth for everything we generate.

How it works:

  • Like in AI tools, you talk, Kite builds context. Answer questions in chat. No prompting skills required.

  • Every build gives you 3 design options using your content. Three different directions you can pick from or remix.

  • Specialized agents handle the work:

    • Design agent: creates a custom visual system (type, color, layout, components)

    • Content agent: writes page copy meant to convert and creates/edits images that fit your website's vibe

    • Build agent: assembles the full site and keeps it editable

Our vision is to build a website that runs itself. Over the next few months, we are going to be introducing agents that take care of your SEO, your marketing, A/B testing and understanding and acting on your website analytics.

Examples of websites (links below):

Mobile-first: you can create and update the whole site from your phone. If you’re building from chat, you shouldn’t need a desktop.

Product Hunt offer: sign up through Product Hunt and you’ll get a 2-week free trial.

Would love your feedback. Ask anything here. We’ll be around all day.

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@abhishek_nayak6 What I love most about kite is that it's like having an entire team in your pocket. I used to have to plan my requirements perfectly, think through all the user experience and visual designs, write perfect copy for every section and test out all the flows! Now kite does all these roles while I just review & approve :)

Here's what I built!
https://studio-raya-c76b8d08.vercel.app
https://apparel-brand-store.vercel.app
https://firangi-forest-spa.vercel.app
https://spice-brand-website.vercel.app
https://perfume-brand-site.vercel.app

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SInce there's no support and your site is leterally telling me to seek Kite Support, I'll do that here:

Guys, the ability to "own our code" and host where we choose to is extremely basic in LCNC sites. A little help?

As you can see, this is what your product told me to ask you:

Custom domain setup does not show DNS record values/targets. My domain is allcandraw.com on Cloudflare. Please provide the required DNS records (Type, Name, Value) so I can verify.

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@nikhil_nandagopal1 I'm building now, love how your tool keeps getting confirmation answers from me - and better than any tool I've seen!

If possible, I will try to get something to show you, maybe share in here while your PH launch is still getting seen (nest 36 hrs). No promises, but here's where we're at:

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The 3 different design options is a nice touch! It's a lot better than waiting for one design to generate, only to scrap it and start over if you don't like it. And the images it generates are perfect for the site. It's not just grabbing the closest stock image that will work, it generates exactly what fits with the site.

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What are the backend options? codebase d/l? Github direct integration?

Sorry, but I like to get stared, put time into things on platforms that are at least as solid as Lovable and Replit.

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@osakasaul Hey Saul 👋, the way we see it - Lovable and Replit are great options for technical users who want a fast way to build anything.

Kite is designed for small business owners who have no technical knowledge and need a public website to showcase their brand and services. Take it for a spin! We think you'll be pleasantly surprised by how little effort it takes to build a beautiful website for a brand :)

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