Product Hunt 每日热榜 2026-01-21

PH热榜 | 2026-01-21

#1
Blink Agent Builder
You can now vibe code agentic AI apps
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一句话介绍：Blink Agent Builder 是一个“氛围编码”平台，允许用户通过自然语言描述快速创建功能完整的AI智能体应用，解决了非技术用户或小团队在构建复杂AI代理时面临的高技术门槛和工程集成难题。
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Developer Tools Artificial Intelligence Vibe coding
AI智能体开发平台 无代码/低代码 氛围编码 AI应用构建 多智能体编排 RAG 工具集成 快速原型 生产级应用 自动化工作流
用户评论摘要：用户普遍赞赏其快速构建、降低复杂度的核心价值，认为其是独立开发者和团队的理想工具。主要问题与建议集中在：复杂场景下的用户控制粒度、生产环境下的代理稳定性与评估、模板视觉同质化、试用期积分限制、以及OAuth等集成所有权细节。
AI 锐评

Blink Agent Builder 宣称的“描述即工作”直击了当前AI代理开发的核心矛盾：构想与实现之间的巨大工程鸿沟。其真正价值并非在于引入了新的技术范式，而在于做了一次大胆且必要的“封装”和“抽象”。它将分散的组件——从180+模型调用、代码执行、向量数据库到网页搜索——打包成一个看似简单的指令接口，试图将构建AI代理的“工程问题”降维成“描述问题”。

然而，这种极致的抽象是一把双刃剑。从积极面看，它极大地扩展了潜在创作者的范围，让营销人员、设计师等非工程师也能将工作流自动化构想具象化，这可能在企业内部催生出一批高度定制化、垂直的“微智能体”生态。其内部提及的“程序化工具调用与验证循环”是应对智能体不可靠性的关键，旨在用系统设计而非单纯提示工程来保障复杂状态管理。

但风险与挑战同样尖锐。首先，“氛围编码”在原型阶段无往不利，但在生产部署中，智能体的可靠性、成本控制、安全边界和可调试性将成为严峻考验。评论中关于“运行台账”、“评估门控”的提问恰恰点中了这一命门。其次，平台在极力降低门槛的同时，也可能将用户禁锢在其特定的抽象层和SDK中，对于需要深度定制或已有技术栈集成的中大型企业，这可能成为新的“锁死”风险。最后，当任何人都能快速克隆一个“简化版Cursor”时，产品的差异化将迅速从“有无功能”转向“体验与生态”，而目前模板同质化的问题已初露端倪。

本质上，Blink 是一场豪赌：赌的是智能体应用开发的“基础设施”阶段即将结束，“应用层”创新将爆发，而它的角色就是为这波创新提供最快的水和电。成败关键在于，它能否在“极简抽象”与“生产级控制”之间找到那个精妙的平衡点，并构建起强大的开发者生态与评估工具链，否则它可能只是一个出色的原型玩具，而非改变生产方式的平台。

查看原始信息 ▼
Blink Agent Builder
Blink is the first vibe coding platform that builds AI agents. Describe what you want — Blink creates an agent that thinks, uses tools, and completes tasks end-to-end. Built-in web search, code execution, vector database, sandbox, and 180+ AI models. We used it to recreate Cursor, Perplexity, and Shortcut in minutes. Now it's your turn.

Hey everyone! 👋


Kai here, founder of Blink.


When we launched Blink, something interesting happened. People weren't just building landing pages and dashboards — they kept trying to build AI agents. Research assistants. Coding copilots. Support bots that actually do things.


But building agents meant stitching together APIs, managing context windows, handling tool calls, deploying infrastructure. Real engineering work.


So we asked ourselves: what if you could just describe an agent and have it work?


That's what we're launching today.


Blink Agent Builder lets you create agentic AI apps from a prompt. We tested it by rebuilding Cursor, Perplexity, and Shortcut — fully working, no code.


Everything's included: web search, code execution, vector database, sandbox, image and video generation, 180+ models, webhook tools for any API. Plus human-in-the-loop, multi-agent, and context engineering so your agent stays sharp.


Would love to hear what you think — and what agents you'd want to build. I'll be here all day.

—Kai

PS Grab our PH launch discount 🎁

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@kf_builds All the best with your launch Kai!

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@kf_builds This is great Kai, congrats on the launch. How do you handle midsize corporate use cases that are niche?

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@kf_builds hey, this is Saul; I’m a graphic designer, and I used Blink for the first time this week. I built a nutrition app for cyclists called BackPocket.

I was honestly impressed by the speed of execution compared to other similar platforms. One thing worth noting is the limited number of credits during the trial period, although I also understand the high costs involved in LLMs wrapping and building agents.

I also think there’s room for stronger visual curation, as many templates tend to look quite similar. This could potentially be handled or curated by real art directors—something hybrid between AI and human touch (maybe something to consider in the future).

I’d love to get in touch and talk. Congrats on the product.

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Congrats on the launch — this looks like a dream tool for solo builders and small teams who want to go from idea to production-ready agentic apps in minutes, not weeks.​

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@zeiki_yu  I was thinking about the same thing, speed is great, but removing the hidden complexity feels like the real unlock.

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@zeiki_yu Thanks! That's literally it - we got tired of AI tools that generate code that doesn't actually work at scale. Wanted something that solo founders could actually use to ship real products.

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Interesting direction. The “describe an agent and it just works” idea sounds powerful, but also hard to get right. Curious how much control users have once things get more complex.

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@shreya_chaurasia19 Great question, honestly, this was one of our biggest design challenges.

The "describe and it works" part is the entry point, but you're right that real-world use cases get messy fast.

We've built in layers of control for when you need them. You can configure which tools your agent has access to, manage context windows, set up human-in-the-loop approvals for critical actions, and even orchestrate multi-agent workflows where different agents handle different parts of a task.

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@shreya_chaurasia19 Great question Shreya! Users have the complete control over their agentic ai app behavior after initial build. This is because Blink is an ai app developer that can always follow user requests to make changes and iterate on the app. Think of it as your own expert dev team.

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Congrats on the launch. Its slick and fast.

Great experience

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@monali_dambre1 Glad you liked it!

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@monali_dambre1 Thank you Monali! It's great to hear you're liking it. Let us know how we can make it better for you :)

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Hey Product Hunt!

I'll be honest – I didn't fully get the agent hype until a few months ago.

Everyone was talking about AI agents like they were the future, but when I actually tried to build one for our marketing workflows, I gave up after two days. Too many moving parts, too much technical overhead. I just wanted something that could research competitors and pull data from the different channels and data sources we have, not a PhD in API management.

When Kai told me we were building the Agent Builder, it immediately resonated – because I'd lived this exact problem as a user.

Now we have agents running all over our stack. One pulls engagement data and writes analysis. Another monitors our community channels and flags important conversations. Another helps draft and iterate on copy. They're not perfect, but they're useful.

The bigger realization is that whether you're rebuilding something like Perplexity or Cursor, or just automating a specific workflow, the barrier has always been the same – the technical complexity of making agents actually work. That complexity shouldn't be what stops good ideas from existing.

I'm really curious what you'd build if the technical overhead wasn't in the way. What's the agent you've been wanting to create but haven't had the time or resources to actually build?

Around all day for questions or just to chat 🚀

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Bundling web search + code execution + vector DB + sandbox into one “agent app” builder is the right abstraction. The scale pain is runaway tool calls + nondeterministic runs as agents get more capable; best practice is a run ledger (all tool I/O + model/version pinning), budgeted tool policies (timeouts/quotas), and eval gates before deploy 🔥 Are agent workflows represented as an explicit graph/state machine under the hood, and can users export/replay a run (for CI + regression) across different models?

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@ryan_thill Yes you are right! Internally we already have very robust eval practices and with our users this is on our roadmap to help them achieve really great agentic building best practices as well. Thank you for the thoughtful input, well said!

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@ryan_thill Now regarding your question, agents are defined as the Agent class and you can create multiple agents in your codebase and call them whenever you want. This object oriented approach achieves greatest flexibility and ease of management.

The best part is even a non-technical user can easily read it and edit the prompt, tools array, etc. if needed.

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Love the OOTB capabilities especially Oauth. I'm going to build something today. Congrats guys.

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@5harath Glad you liked it! Do share what you build on Blink today! Would love to hear more about your experience!

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@5harath Awesome! Great to have you giving Blink a try! Would love to hear what you think soon :)

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can I also orchestrate agents that I built in Blink?


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@samet_sezer Yes! Multi-agent orchestration is built in.


You can set up workflows where different agents handle different parts of a task. For example, one agent does research, passes findings to another that analyzes the data, and a third that formats everything into a report.

The agents can communicate with each other, pass context and results between them, and work in sequence or parallel depending on what you need.

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@samet_sezer Oh yes you can! Each agent is defined as an object and so you can create many different agents and orchestrate them directly.

You can also make API calls to the agents you create if you want to use them out-app.

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Your remixable pages and app selection is larger than some, which is great, but I'd like to see sections on RAG recipes and Agents.

Also, if I'm reading your pricing right., with the Pro tier, there are no credit rollovers?

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@osakasaul Thanks for checking out our site - glad you're interested in seeing the large collection of community projects! We're just launching the agent builder capabilities along with RAG, sandbox, and AI gateway, which is why there hasn't been as big of a collection for those community projects yet (but soon there will be!).

Yes, credit rollovers is a premium feature that is currently available on Max plan. All plans do enjoy 5 daily credits for free on top of the plan's monthly credits!

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This looks really good - very curious how the integration layer works? If I build an agent that connects to notion, who owns the Notion oauth application? Does that change based on whether its a persoanl/internal application vs customer facing?

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@ryan_brown18 Great question, Ryan. You can ask Blink (coding agent) to build you Notion connection to your own OAuth app if you want; we also are beta testing our pre-made connector with Notion etc. so you can also use Blink's platform Notion OAuth app if preferred. The system is very flexible so really depends on your goals and preference.

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Can I specify the agent framework as well while using blink?

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@pulkit_garg7 Blink apps use the Blink SDK (our own agentic framework). It allows any LLM model, prebuilt / custom webhook tools, context management, stopping strategy, etc. to help you build agentic ai apps.

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good luck with the launch, this is cool!

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@bbrooksvc Thank you Brandon! Appreciate your support today!

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Congrats on the launch! Vibe coding is great for prototypes, but usually hits a wall with complex state management. Just wondering, what can be the most complex, production-ready app built with Blink that handles multi-step logic without hallucinating or breaking?

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@jiawei_liu6 Great question - that's exactly the wall we built Blink to break through.


We've rebuilt production versions of Cursor (full IDE with multi-file editing), Perplexity (search with citation chains), and Gamma (presentation builder). These handle real state: editor buffers, search caching, user sessions, multi-step workflows.


The key difference: Blink uses programmatic tool calling with validation loops, so complex state gets managed through actual abstractions, not hallucinated spaghetti code. When you prompt for "save chat history with resumable sessions," it builds proper state patterns.

Check out what Blink made:

Excel agent: https://shortcut.sites.blink.new/

Powerpoint agent: https://gamma.sites.blink.new/

Research agent: https://perplexity.sites.blink.new/

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Nice work! Wondering if I can build an ai agent that runs in a chrome extension to automate work on websites like Canva, airtable etc similar Claude for chrome but custom built by a developer! You guys are doing great stuff with blink. Love it
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@t0ny_ns That's a great idea! With Blink you can do that but for Chrome extensions likely it will involve a bit more hacking and testing to access the user browser and take actions such as scrolling and clicking. We'll likely build this next as a challenge!

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Congrats on the launch!

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@asadatnoodle Thank you Asad! Please give Blink a try today, I'd love to hear your feedback on it!

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Congrats on the launch!

This really caught my eye, so I jumped in to try it. Unfortunately I didn't get to see the final result -- I think my first prompt was a little too enthusiastic 😅, and a few bugs along the way triggered extra auto-prompts that burned through my 5 daily credits.

I'm excited to give it another try tomorrow. I also really enjoyed the UX -- especially how it presents its chain of thought and the technical approach it takes to interpreting the user's request.

Best of luck!

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@monchozuniga Hey Ramon thank you so much for trying it out and sharing your feedback! Yes the more complex your app is the more credits it tends to consume. We give 5 daily credits on the free plan so would love for you to build out your agentic app and truly experience it.

Btw what's your prompt? I'm curious to give it a try :)

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Great product! Just curious - How do you make the product faster than others?

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@cruise_chen We kill boilerplate code with our owned infrastructure and code sdks. The result is 10x faster feature building experience since we optimize the end-to-end experience and avoid duplicate code.

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Congrats. In the screenshots what prompt did you give to create that excel clone?

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@ahmedrana Hey, you should be able to get a prototype with "Build me an Excel Copilot like Shortcut". It might require a few iterations to perfect. Excited for you to try it out!

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@ahmedrana Check out this page for the prompt and build process!
https://blink.new/p/shortcut

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Congrats on the launch just curious how do you handle long running agents memory across sessions ?

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@farhan_nazir55 Great question, Farhan. Agents created with Blink run on our managed backend service and can handle long-running tasks since it's a node based service. Memory across sessions is achieved easily through Blink SQL database which every Blink project gets out of the gate.

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#2
Fimo
Where your website lives, collaborates, and evolves with AI.
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一句话介绍：Fimo是一款AI原生的CMS与网站构建平台，能在几分钟内创建并管理具备SEO优化、团队协作和持续进化能力的网站，解决了传统网站建设耗时耗力、维护复杂的痛点。
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Marketing Website Builder Artificial Intelligence
AI网站生成 内容管理系统 无代码/低代码 团队协作 SEO优化 实时预览 媒体库 Strapi生态 快速建站 企业级应用
用户评论摘要：用户普遍赞赏其将AI生成速度与扎实的CMS功能（内容管理、SEO、工作流）结合，解决了多数AI建站工具“重生成、轻维护”的缺陷。核心好评在于团队协作（Build Together）与专业基础（源自Strapi）。主要建议/疑问集中在是否提供精细的动画交互控制UI，目前仍需通过代码实现。
AI 锐评

Fimo并非又一个简单的AI网页生成器噱头，其真正价值在于试图用AI缝合网站“创建期”与“全生命周期管理”之间的巨大断层。它敏锐地戳中了当前AI建站工具的普遍软肋：生成一个静态页面很快，但一旦涉及多语言、内容更新、团队审核、SEO持续优化等现实业务需求，工具就立刻失灵。

其底气显然来自母公司Strapi十年头部开源CMS的经验积累。这意味着Fimo在“AI快速生成”的糖衣下，包裹的是一个深思熟虑的、以内容管理和工作流为核心的内核。“内置CMS”、“媒体库”、“内容历史”这些功能，都是面向真实、持续运营的严肃需求。评论中“速度+真实CMS基本功”的称赞，精准点明了其差异化优势。

然而，其挑战也同样明显。首先，它定位“AI原生CMS”，这意味它需要同时教育两类用户：让习惯传统CMS的用户接受AI工作流，又让追逐AI潮流的用户理解CMS的必要性。其次，产品目前似乎在“深度控制”上做了权衡，如评论所指，复杂动画控制仍需代码，这可能会让部分追求极致设计自由度的用户却步。这本质上是一场关于“开箱即用的智能”与“专业定制化能力”的边界探索。

Fimo的野心，是成为网站从诞生到迭代的“操作系统”，而不仅仅是创建工具。它能否成功，不在于AI生成网站是否比对手快10秒，而在于其由Strapi背书的“内容治理”能力与AI的“生成与优化”能力，能否深度融合，真正让网站“持续进化”。这条路正确且艰难，但无疑是下一代网站构建平台的必争之地。

查看原始信息 ▼
Fimo
Building a website used to take months. Starting today you can create one in 10 seconds

Hey PH family, Pierre, CEO/co-founder of Strapi (creators of Fimo.ai) here 👋

We’re excited to launch fimo.ai 🚀

TL;DR

  • Fimo.ai is an AI-native CMS

  • Build a website in minutes

  • Fully built-in CMS & Media Library

  • Agents (will) optimize your site

Building a website that fits your needs used to be too complicated. With fimo.ai, you can create one in minutes.

Fimo.ai is an AI-native CMS where your website lives, collaborates, and evolves with AI.

Existing vibe coding tools are great for building apps, but websites have specific requirements. We’ve spent the last 10 years building Strapi, the most popular open-source Headless CMS. We know what is important for users: translate content, reuse assets, optimize SEO/GEO, update content, A/B test, personalize pages, schedule releases, review workflows, etc.

You save time and money, while increasing your visibility and converting more!

Our vision is to help you create, update, translate, test, and continuously optimize it for SEO/GEO.

Here are some of the top features:

  • Build Together: See who from your team is doing what, in real-time.

  • Live Preview (with visual control): Click any element to tweak styles and properties.

  • Built-in CMS: Manage the content of your website with a great CMS.

  • Media Library: Keep all your assets organized in one place.

  • Code: Jump into code when you need it (enjoy the split views!).

  • Content History: Go back to previous versions of your website

  • Publish: Go live globally in one click with secure, built-in hosting.

We’ve put a lot of love into building fimo.ai and we really hope you’ll enjoy the product as much as we do.

Try it for free: fimo.ai 🚀

Let us know if you have any feedback - thank you for the support 🙏

Feel free to check our public roadmap and add your feature requests: https://roadmap.fimo.ai

Thanks a lot to our hunter: Steven Tey, founder of Dub.co, the modern link attribution platform for short links 🙏

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@pierre_burgy Congrats on the launch, Pierre & team
Fimo.ai feels like a natural next step for websites AI-native, fast to build, but still grounded in real CMS needs like content, SEO, and workflows. Excited to see where this goes!

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So happy to launch Fimo today. We've put a lot of work and love into it to combine the best of AI website builders and CMS and we can't wait to see what you're all gonna build! 🎉

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Exciting times indeed, @convly ! Building and managing websites will never be the same 🚀 Can't wait to see what users will build with it

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These guys cooked

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and we're only getting started, @rauchg 🚀

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Should we disclose what Fimo means? 🫢

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@jvlien FOREVER IN MOTION!!!! 🚀

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@jvlien I didn’t even think about that for some reason!

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So glad we are launching Fimo today. And this is just the beginning of the best Agentic CMS in the market!

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@marc_roig_campos 🔥

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So happy for the launch! Excited to follow along and see how makers put this to use 🚀

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@hicham_elbsi 🔥

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Go team Fimo! Even my kids can make website now , so easy !

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They can indeed :)

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@vcoisne "Create a website convincing my parents that we should get a dog/cat with solid arguments such as: I brush my teeth, clean my room, and finish my meals"

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Bravo pour le lancement ! I can feel that an expert company like Strapi is behind the solidity of components

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@vicgrss 🙏

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We have indeed spent a few years in that space, @vicgrss  :)

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Great news strapi team !

Pas mal non, c'est français !

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@julien_fissette Thanks Julien 🙏
Made in 🥖

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C'est très français @julien_fissette 🥖

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Congrats on the launch ! Can't wait to test it :)

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@ale6_ Thanks! Tell us what you think about it!

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Thanks, @ale6_ ! Can't wait to see what you build!

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Great move, was looking for a new web site for a recruitment agency, site done in 6 minutes :). Great job.

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@denis_lt Thank you for the support Denis 🙏

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Thank you,@denis_lt ! Building websites will never be the same!

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Congrats on the launch team! I love the focus on "Build Together". Most AI builders feel like solo tools, but websites are usually a team effort.

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They are, indeed! Team work for the win 🤝

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Congrats on the launch! Let's go @Strapi team! 🚀

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@stevenfabre Thanks for the support Steven!

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Just tried Fimo — and honestly, these guys cooked 🔥

What clicks immediately is the combo that most AI website builders miss: speed + real CMS fundamentals. Generating a site is the easy part; keeping it clean, editable, collaborative, and SEO-ready over time is where most tools fall apart. Fimo seems built for that reality.
Congrats to the Fimo team 🚀

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@emmanuel_darras Thank you so much, it means a lot!!

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Most AI builders generate clean layouts but fail at the 'soul' (complex animations & micro-interactions). Does Fimo give us granular control over motion design (like scroll effects), or is it limited to standard static CSS?

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@jiawei_liu6 You can give it a try! I was able to have animations working; however, the AI can code it, you can edit it via the code, but we don't offer a UI/side-panel to control animations. It isn't our focus right now; we focus on the content aspect.

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Great product, congrats on the launch! 🔥

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@manuarora Thanks a lot Manu 🔥

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@manuarora Thank you, it means a lot coming from you!!

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Love it, congrats on the launch!!

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@steventey Thank you Steven 🙏

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This is great, I've been hoping to find more vibe website design tools I can use to build my sites. Right now I use Framer and have played around with Webflow and Wix as well (I used to build wordpress sites for clients back in the day).

But some of the modern tools have too many configuration options and its overwhelming, was that the inspiration behind Fimo?

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@jake_friedberg We love Linear. We love Vercel products. Polished, powerful and still easy to use!

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Well executed, tea - looks great! 💪

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Thanks @nicklas_gellner !

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Tested and already impressed by this first version

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@auree_aubert 🙏

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Glad you liked it@auree_aubert !

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Looks incredible
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@mehdidjabri Thanks Mehdi! Have you tried it already?

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This is impressive. The right mix of building fast and making it possible to evolve / maintain.

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@alexisfogel You got it right!

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Looks really cool and well executed. When should I use this vs others like Lovable?

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@louislecat We believe that we have better design results + managing content through our CMS is one of our strong differentiator. Also, optimization agents are part of our vision. The agents would inspect your website, suggest updates, and eventually A/B test them by themselves and roll them out if necessary.

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This looks dope! Gonna try it right now.

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@chrissom_ Tell us what you think 🙏

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So excited about this launch 🚀 It's only the beginning, everything can be improved, but it's a new start for the CMS category. The vision is bold, we cannot wait to share more and make the product better. We did it with love, we are aware of some bugs, so please bear with us 🙏

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Congrats for the launch guys! Question: How's the website optimized by the agents? Is it once the website is deployed or pre-deployment?

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@y__b This is a work in progress feature, it's probably gonna be pre-deployment :)

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Although we have focused on website creation, optimization agents are strongly part of our vision. The agents would inspect your website, suggest updates, and eventually A/B test them by themselves and roll them out if necessary.

Also, they could suggest content creation (based on SEO/GEO opportunities) and draft content for you.

So, to answer your question, it is once the website is deployed (and it will be redeployed by agents).

This way, your website gets better and better, while you sleep :)

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Huge congrats on the launch!

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@yuki1028 Thank you Yuki 🙏

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Thanks@yuki1028!

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Congrats.. very cool .. all the best 🔥🔥
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👀👀👀
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@ben_cotte 👀👀👀👀👀👀

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👀👀👀👀

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does it actually monitor performance to suggest design tweaks later, or is it mostly for generating new content?

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@samet_sezer Both, the idea is to have agents keeping your website in good health while you generate content easily with the help of another agent or not :)

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#3
Mastra
Build AI agents with a modern TypeScript stack
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一句话介绍：Mastra是一个基于现代TypeScript技术栈的AI智能体开发框架，它通过提供工作流、记忆、评估、追踪等一体化工具链，解决了开发者在构建和部署生产级AI应用时面临的架构复杂、工具分散和调试困难的核心痛点。
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Software Engineering Developer Tools Artificial Intelligence
AI智能体框架 TypeScript开发栈 开源工具 工作流编排 智能体记忆 开发与测试一体化 生产就绪 多智能体协作 本地开发环境 应用性能评估
用户评论摘要：用户普遍赞赏其开箱即用的体验、优秀的文档教育资源和能显著减少样板代码。具体亮点包括内置的记忆系统、本地开发调试工具Studio，以及从LangChain迁移的顺畅体验。主要问题集中在框架的灵活性上，例如能否集成现有智能体、如何构建多智能体系统和工作流，官方回复证实其支持多种模式，具备良好扩展性。
AI 锐评

Mastra的亮相，远不止是又一个AI工具库的版本更新，它标志着AI应用开发正从“实验性拼凑”迈向“工程化整合”的关键转折。其核心价值并非单纯的功能聚合，而在于为混乱的AI开发生态强行注入了软件工程的正统性——通过TypeScript强类型体系约束智能体行为，将工作流、记忆、评估、追踪这些分散的关注点统一到一套符合生产标准的架构中。

产品背后Gatsby团队的经验清晰可见：他们深谙开发者痛点并非缺乏AI能力，而是缺乏将AI能力可靠、可维护地集成进复杂业务系统的“胶水层”。Mastra提供的“白色斑点”设计，本质上是为专业开发者划定了清晰的边界——框架负责通用且繁琐的基础设施（如流式响应、记忆回溯、评估追踪），开发者则聚焦于核心业务逻辑。这种设计哲学，使其与追求“全包”但臃肿的框架，或追求“灵活”但原始的底层SDK拉开了差距。

然而，其真正的挑战也在于此。过度“现代”的TypeScript栈可能将部分非前端生态的AI开发者拒之门外；一体化的“Studio”虽降低了调试门槛，但在超大规模复杂工作流场景下的能力仍有待验证。此外，在AI技术栈每月都在剧变的背景下，一个试图提供稳定生产基座的框架，其迭代速度能否跟上底层模型与范式的革新，将是持续生存的关键。

总体而言，Mastra是面向“下一阶段”的产物，它服务于那些已跨过AI概念验证、正为技术债务和运维成本发愁的团队。它的成功与否，将直接检验市场对“AI工程化”的迫切程度和付费意愿。

查看原始信息 ▼
Mastra
From the team behind Gatsby, Mastra is a framework for building AI-powered apps and agents with workflows, memory, streaming, evals, tracing, and Studio, an interactive UI for dev and testing. Start building: npm create mastra@latest

Hello, Product Hunt!

Mastra (YC W25) just released stable 1.0 for building AI apps and agents, announcing 300,000+ weekly npm downloads and 19,400+ GitHub stars, and they keep the momentum going launching today on @Product Hunt. LFG!

I had a blast working on this launch with @calcsam @smthomas3 @bookercodes and team. Read the behind-the-scenes in /p/mastra and give them a star on GitHub.

Oh and @bookercodes and I will be live on an X Space today, Jan 21, at 3 PM UTC / 4 PM CET / 10 AM EST to talk about the launch ops. Tune in!

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Hi Product Hunt, we're Sam, Shane, and Abhi, and we're building @Mastra, the open-source JavaScript agent framework. 

We are excited to announce today we released Mastra 1.0 in stable. Mastra lets you create multi-agent workflows, run evals, inspect in a local studio, and emit traces.


We started Mastra about 15 months ago and now it’s grown to over 300k weekly npm downloads and 19.4k GitHub stars. It’s now Apache 2.0 licensed and runs in prod at companies like @Replit, PayPal, and@WorkOS

If you want to learn more:
- GitHub repo: https://github.com/mastra-ai/mastra
- Demo video: https://www.youtube.com/watch?v=1qnmnRICX50
- Our website homepage: https://mastra.ai
- And our docs: https://mastra.ai/docs

You can get started with `npm create mastra@latest`. Excited to share Mastra with everyone here – let us know what you think!

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@calcsam humble to work on this launch with you 🙏

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@sam_bhagwat congrats on the launch! Is it possible somehow to plug in existing agents or all need to be created with Mastra?

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Hey, that’s my face on the demo thumbnail!

Stoked to be launching on Product Hunt today. 🔥 For the past 6 months I’ve been learning how to build agents with Mastra and sharing everything on YouTube as I go.

Beyond having everything you need out of the box, what really makes Mastra special is education. We put a lot into docs, guides, videos, workshops, and talks so you can quickly get to the concepts that actually matter. If you're new to (vibe) coding agents, Mastra is a great place to start.

It also helps you ship to production faster. Mastra is built on established patterns and gives you “white spots” to plug in your own agent logic, so you spend more time building and less time wiring things together. If you need RAG, HITL, evals - Mastra has a primitive for it, and they all play nicely together.

The local development environment, Studio, really shows how well everything works together. Run `npm create mastra` to spin up a default weather agent and poke around - it feels playful, and I’m pretty sure you’ll learn something new.

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@bookercodes 🐐

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The easiest and most comfortable way to start building products with AI 🤩

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@mfrachet lfg! above all, what's the #1 feature that you enjoy the most about @Mastra?

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@fmerian It’s kind of insane Mastra has SOTA semantic recall memory built-in
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Mastra is amazing framework and an amazing product!

I learned a lot reading their code and the way their api is laid out. We switched our AI chat over to Mastra in my last company and their let us rip out hundreds of lines of code because Mastra was handling almost everything we needed to build a chat

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@flyakiet Agreed, v useful

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Really excited for this thanks @fmerian and the @Mastra team for their work! I've been working with multi-model setups for debugging and actually testing the use through SWEBench right now and look forward to working Mastra into this.

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Excited to be launching on Product Hunt!

I still remember back to our first Mastra release in October 2024. We had to pull out the playground (now called studio) because it wasn’t ready.

We eventually added it back in and now Mastra studio is one of the things people love most!

Happy we get to share our 1.0 launch with the Product Hunt community.

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@smthomas3 S/O for the amazing work - keep it up 👏👏

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Congrats! Have been watching and developing early. Cool to see it maturing.

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I use Mastra to help automate daily report building for potential investments. I love the strongly typed systems and the studio debugging tools.

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The combination of workflows, evals, and tracing in one place stands out. How opinionated is Mastra about how agents are structured?

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@shreya_chaurasia19 Mastra is flexible! It supports: tool-calling agents, agent networks (multiple agents that can collaborate), and workflow orchestration when you need fine‑grained control over complex flows. So you can start simple and gradually add structure as your use case becomes more advanced.

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Been working with Mastra since its inception and been one of the best find for building with AI I've ever had, this team has been really amazing and involved with the community using Mastra

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Loved the explainer video, absolutely wonderful! Super excited for your launch. Quick question: can you also create workflow agents like how ADK allows us? Is it possible to configure multi agentic systems using mastra and later on have them sit behind apis that an app can consume?

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Epic product. Epic team. Congrats on the epic launch!

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@notrab epic supporter!
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Wonderful tool! Swapped over from Langchain and haven't regretted it once.

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Congrats on the release. I have already used mastra before for my company, and the experience has been great 😄

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I have already used mastra before for my company, and the experience has been great

@kimmyxpow your words just made our day - spread the word on X!

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Big Mastra fan here, congrats on the launch

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@jackbridger you're the legend, Jack!

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#4
Citable
Get mentioned by AI agents
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一句话介绍：Citable是一款AI驱动的品牌可见性分析与优化平台，帮助品牌在ChatGPT、Gemini等AI引擎中提升被提及和引用的机会，解决企业在AI优先时代“数字可引用性”不足的痛点。
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Analytics SEO Artificial Intelligence
AI品牌监控 生成式引擎优化(GEO) AI可见性分析 数字可引用性 内容生成 竞争情报 SEO 增长工具 B2B SaaS 营销自动化
用户评论摘要：用户普遍认可AI可见性作为独立增长渠道的价值，赞赏其从“分析”转向“行动”。主要问题集中在：GEO与SEO的具体区别、如何从被提及提升至被信任、工具如何过滤噪声保证数据稳定性、以及实际转化效果（如点击率低）。团队回复详细，解释了技术架构与核心逻辑。
AI 锐评

Citable敏锐地抓住了AI原生世界的底层流量迁移：搜索正从“排名”转向“推理”。它的真正价值并非简单的“AI SEO”监控，而在于试图将模糊的“AI心智占有率”转化为可测量、可优化的增长指标。产品从“可见性分析”升级到“行动引擎”，是关键的生存进化，直面了企业“看了数据也不知道怎么办”的核心焦虑。

然而，其面临的挑战与机遇同样深刻。首先，市场教育成本高：需要说服团队，在AI对话中“被推荐”的价值可能高于传统搜索点击，这关乎根本的归因模型变革。其次，数据护城河问题：其分析高度依赖对主流AI模型输出的持续、稳定抓取与解析，技术对抗（如平台限制）和模型快速迭代带来的数据漂移是长期风险。最后，也是最关键的一点，它必须证明其“行动建议”能有效提升“可引用性”，而这涉及内容战略、实体权威建设等厚重工作，工具能否真正撬动，仍有待验证。

本质上，Citable出售的是一种在AI时代的新型“安全感”和“导航图”。如果它能成为企业理解并影响AI“推理过程”的事实标准，其想象空间将远超工具本身，触及AI时代营销的底层方法论。但目前，它仍处于从“有趣概念”迈向“必备基础设施”的险峻道路上。

查看原始信息 ▼
Citable
Discover how AI platforms perceive your brand. Citable provides AI-powered brand visibility analysis and generative engine optimization (GEO) to improve your digital citability.

Hey Product Hunters and Founders 👋

I’m Maria, co-founder + CTO of Citable — and we’re back for Launch #2 with a big upgrade: we moved from “visibility analytics” → to “visibility + action.” ⚡️

Quick recap: Citable helps founders + marketers understand how their brand actually shows up inside AI engines like ChatGPT, Gemini, and Perplexity (across personas + geographies). Because search is shifting from ranking → reasoning, and most teams are basically flying blind.

What’s new since our first launch 🛠️

We shipped a ton of improvements — especially on the “what do I do next?” part:

✅ AI Action Engine — clear next steps to improve mentions + citations
✅ Content generation by GEO + brand voice — regenerate posts for LinkedIn / X / Instagram
✅ YouTube description generator — optimized for discoverability + credibility
✅ Community discovery — find the best Reddit communities, draft posts, and build karma the non-spammy way
✅ Blog generation + optimization — turn visibility gaps into pages that win
✅ Content scheduling — plan + ship consistently instead of “posting when panicking” 😅

If you’re working on growth, SEO, or brand discovery in an AI-first world, we’d love for you to check it out + roast us with feedback 🙏

Try it here: https://getcitable.com
Join the early community: r/AI_Visibility
Slack: https://join.slack.com/t/citablehq/shared_invite/zt-3i1y4zeyc-7II3r90YV~sKQqUsfq_JjQ

Huge thanks to MarketingGuys for the strong social media presence and amplification around this launch — really appreciate the support.

Excited to hear what you think 🚀

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Huge thanks to MarketingGuys for the strong social media presence and amplification around this launch — really appreciate the support. Thanks everyone for making this launch come true!

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@maria_gorskikh1 Congrats on the launch Maria. Whats the one "shut up and take my money" new feature for you?

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@maria_gorskikh1 Moving from “insight” to “action” is the right step. In practice, which recommendation do teams actually follow first, and which one do they keep ignoring, once the AI tells them what to do to improve visibility?

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Hey Maria, does your tool also offer options to improvements? E.g. where your brand should be mentioned to improve positioning?

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@busmark_w_nika Hi Nika, absolutely! With Citable's source tracking, you can easily pin point the channels that most suitable for your content distribution. We offer features such as reddit opportunity search to help teams to quickly spot where are the sub communities where people are asking for help and you are the one that can answer their questions -- building trust and be helpful in AI era. If you schedule a free onboarding consultation with us, you'd also be able to have access to our exclusive 100,000 distribution channels that are effective for GEO & SEO

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Congrats on the launch! Super cool to see AI visibility treated as its own growth channel, not just an SEO side quest.

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@zeiki_yu Thanks for the support Zeiki! When growth teams have so much on their plate, picking the north star metrics suitable for their growth becomes so important. Generative engine optimization eventually is optimizing the value proposition to the most targeted customers who are looking for an answer in AI. That's actually far more profound and deep connected to the users rather that just key word clustering. That's why we built Citable to empower teams to focus on delivering message directly to their customer through AI.

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Looks cool! Is the AI content plan generated based on competitive data or LLM trends? Can I customize content?

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@alina_petrova3 Hey Alina, thanks for the support and question! Plan is generated based on three parameters: Channel effort (Amount of Channel and Contents) x LLM trends (Which are priority) x Persona Trends (You ICP's channel has higher priority)
Overall, you should be able to customize you content plan and quickly test out different channels through campaign tracking.

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Big congrats on the launch! 🚀 I love that the tool thinks beyond just SEO. In the current landscape, topical authority across platforms is a must for AI visibility. Having actionable suggestions ready to go is a huge value-add for any content team.

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@pidsinee_einarsdottir Thank you Pidsinee! It's great to hear positive thoughts from growth experts like you! By tracking the user queries for different personas, topical authority becomes more clear and would give content marketers clear signal and priority on what to focus and why.

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Hey there!!

Wow this tool was so much needed ahah

How do you automate interactions with multiple AI providers (e.g., separate accounts with "pre-warming" memory, Playwright/Selenium, or direct APIs where possible)? And also, how do you handle citation parsing and "why" explanations? Prompt engineering per model, or post-processing with another LLM?

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@cathcorm thank you!! 🙌 We use a combination of direct APIs (when available) and headless browser automation. Citations are parsed then canonicalized/deduped, and the “why” explanations come from a structured analysis layer so results stay comparable across models/providers.

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Yeah! Love the Notion style but even more how you help brands to face their presence in this AI era, which is actually great! Wish you all the best!

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@german_merlo1 appreciate that a lot!! 💛 We’re obsessed with making AI visibility feel simple + actionable. Thanks for the support!

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Congrats! How different is GEO from SEO? Are there different signals?

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@daniele_packard thank you!! 🙌 GEO is different from SEO because the goal shifts from ranking on a list of links → to being the recommended answer inside the model (and ideally cited).


SEO signals are mostly: keywords, backlinks, technical health, CTR. GEO signals are more like: clear entity positioning(“what you are / who you’re for”), source credibility (being referenced by trusted sites), consistent facts + terminology across the web, and content that’s easy for models to quote/cite (comparisons, pricing/benchmarks, specs, use cases).

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At thousands of prompts per day across models plus persona memory, non-determinism and model drift can make share-of-voice and citation deltas noisy.

Best practice is to run a versioned eval harness: fixed prompt suites, replicated runs, temp 0 where supported, response caching, and calibrated LLM-judge scoring to detect meaningful changes.

How are you normalizing citations (canonical URL dedupe) and isolating persona state from model updates when computing SOV trends?

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@ryan_thill great point — we treat SOV/citation trends as an eval problem, not a single run. We run versioned prompt suites with replicated runs, cache outputs, and normalize citations via canonical URL + redirect + tracking-param dedupe so the same page doesn’t inflate counts. Personas are snapshot/versioned (frozen state) so we can separate persona effects vs model updates, and when a model drifts we start a new baseline instead of mixing trends.

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I like that this goes beyond analytics. Visibility without clear next steps can be frustrating, so the action layer feels like the right evolution.

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@shreya_chaurasia19 I agree Shreya! Analytics and action speeds up the time-to-value for customers, but ultimately its' up to founders and marketers who invent and spread the unique value proposition of product and service. This is the underlying cornerstone for GEO.

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This is awesome and I've been looking for a tool like this for my project and congrats on the great launch! Before committing to paying monthly is there anyway to see (on your platform or off) how often there are prompts related to your product that would appear if it was ranked higher in the AI agent?

Kind of like a pre-qualifier to begin optimizing your outreach through AI agents?

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This is really cool and makes a ton of sense, considering the direction in which commerce and product research are going. I get how you assess share of voice -- that's clever. But having measured that, how do you help users improve their standing?

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Interesting take on “AI visibility” as a measurable surface, not just SEO rebranded.

One question though: how do you separate being mentioned from being trusted by agents?
As agents start making operational decisions, not just citing sources, the difference between visibility and reliability feels critical.

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I still don't quite understand how AI tracking impacts websites. Basically, for example, Chatgpt cites sources, but only 1/10 people click on the link, and many AIs even remove the source entirely -> no real revenue if users don't visit your page. Of course, I don't deny it's bad for SEO, but I'm curious if it's really that important.

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@agnxi super fair question — clicks can be lower in AI, but the impact is still huge because AI often becomes the decision layer (“what should I use / buy?”). Even without a click, being recommended + cited changes which tools people shortlist, trust, and purchase. We track that shift and turn it into concrete actions so you can actually increase share-of-voice in those answers.

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#5
FastMCP 3.0
The fast, Pythonic way to build MCP servers and clients
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一句话介绍：FastMCP 3.0是一个用于构建智能AI上下文应用（而不仅仅是工具服务器）的Python框架，它通过统一集成、重塑多源工具与数据，并提供状态管理、访问控制与可观测性，解决了AI代理在复杂场景下获取及时、准确、相关信息的核心痛点。
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Open Source Developer Tools Artificial Intelligence
AI应用框架 MCP协议 上下文管理 工具集成 状态跟踪 访问控制 可观测性 Python 智能体开发 生产就绪
用户评论摘要：用户高度认可其从“工具服务器”到“上下文应用”的范式转变，认为其解决了状态管理、访问控制、多源编排等规模化痛点。核心关注点包括：具体升级内容、与LangGraph等编排工具的关系、状态存储的可插拔性、字段级访问控制实现，以及端到端追踪的最佳实践。
AI 锐评

FastMCP 3.0的发布，标志着一场对MCP（模型上下文协议）生态的“升维打击”。它敏锐地戳破了当前AI工具集成的华丽泡沫：协议实现只是门槛，真正的战场在于**信息的精准投送**。产品将自身重新定位为“上下文应用”框架，这并非文字游戏，而是直指Agent生态的阿克琉斯之踵——碎片化工具调用导致的信息孤岛、状态丢失与权限混乱。

其价值核心在于“控制力”。通过内置的状态跟踪、访问控制、长时任务和版本化API，它试图为混乱的AI工具调用建立秩序。这相当于在数据层与模型层之间，插入了一个智能的、可编程的“上下文中间件”。它不再满足于被动提供工具，而是主动管理信息流的形态、时序与权限。评论中关于“字段级权限”和“版本化契约”的探讨，恰恰揭示了高端用户对生产级可控性的渴求，这也是FastMCP试图构建的壁垒。

然而，其野心也带来新的复杂性。当框架从“工具集成”迈向“上下文编排”，它不可避免地会与LangGraph等现有编排方案产生重叠与竞争。官方回复的“有趣的构建块”之说颇为暧昧，暗示其定位是更底层的基础设施，但最终可能仍需在“框架”与“平台”之间做出清晰抉择。此外，将如此多的关注点（状态、权限、观测、版本）熔于一炉，对开发者心智和框架本身的抽象设计是巨大考验。它提供的是一套强大的“工业级”解决方案，但其学习曲线和架构重量，可能让只需“轻量级工具桥”的用户望而却步。FastMCP 3.0的真正考验在于，能否在提供强大控制力的同时，保持其标榜的“Pythonic”简洁，避免成为新的复杂性源头。

查看原始信息 ▼
FastMCP 3.0
FastMCP 3.0 is a framework for building smarter AI context apps, not just tool servers. Pull tools and data from anywhere, reshape them, control access, track state, and run long tasks — with hot reload, versioning, and observability built in for production use.

From @jlowin :

FastMCP 3.0 is the platform MCP deserves in 2026, built to be as durable as it is future-proof:

We are moving beyond simple “tool servers.” We are entering the era of Context Applications—rich, adaptive systems that manage the information flow to agents.

The real challenge was never implementing the protocol. It’s delivering the right information at the right time. FastMCP 3 is built for that:

  • Source components from anywhere.

  • Compose and transform them freely.

  • Personalize what each user sees.

  • Track state across sessions.

  • Control access at every level.

  • Run long operations in the background.

  • Version your APIs.

  • Observe everything.

It’s time to move fast and make things.

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@jlowin  @chrismessina congrats on the launch!

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Congrats on the launch — love how FastMCP is pushing MCP beyond “tool servers” into real context apps with state, access control, and observability built in.

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We've been adopters of FastMCP since the early days at Noodle Seed! - Super excited to see the launch of version 3.0!

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@asadatnoodle Thanks!

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Hey Chris, that line about the real challenge being delivering the right info at the right time, not implementing the protocol, is a good reframe. Was there a specific project where you had MCP working technically but the agent still wasn’t getting what it needed when it needed it?
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@vouchy We see this in practice all the time -- common gotchas are tightly coupled tools (either that need to be called in sequence, or with correlated information) that the agent doesn't call correctly. Another is simply having too many tools with too many descriptions; choice paralysis is real.

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Love the "context applications" framing - MCP isn’t hard, relevance is.
Curious what you’ve seen as the biggest source of pain in practice: state across sessions, access control, or debugging/observability once you have multiple sources in the loop?
Also - do you have an opinionated default for tracing tool calls end-to-end (so people don’t live in logs)?

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@dmitry_petrakov I think authentication followed by more granular access control has been a major blocker. State across sessions is more of an enabler than blocker; and observability is something we just always want to improve!

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@jlowin jlowin — “context applications” (state + ACL + long tasks + observability) is exactly where MCP gets painful at scale: multi-source fan-out + stale context + non-idempotent tool runs.

Best-practice: treat every tool call as a versioned contract (Pydantic schemas + semver), persist state as an event log (so you can replay/debug), and add distributed tracing with correlation IDs across sources/steps.

Q: is state storage pluggable (Redis/Postgres) with resumable long-jobs, and do you support per-user ACL down to field-level redaction in composed contexts? 🔥

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@ryan_thill state storage is pluggable, yes. The built-in auth hooks are registered at the tool or server level, so applying it at the field level would require leveraging the auth context yourself to modify the result. You could do this either as a custom wrapper for your tools, or a custom middleware.

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love the shift to stateful context apps over just dumb tool servers. does this replace the need for LangGraph in simpler agents?

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@samet_sezer Maybe not in this raw form, but I think it's an interesting building block that could result in some very interesting server-side orchestration patterns in the near future.

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Can you tell a little bit more about what you do in version 3, please? How does it differ from 2?

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@anton_tishchenko we have a post that covers all the new features here: https://www.jlowin.dev/blog/fastmcp-3-whats-new

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#6
Forvibe
Launch apps without the operational busywork
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一句话介绍：Forvibe通过自动化应用商店上架流程中的本地化、商店列表、截图生成、法律文档和订阅定价等繁琐操作，解决独立开发者和小团队在全球化发布时面临的运营负担，让其能专注于产品开发本身。
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Productivity Developer Tools Artificial Intelligence
应用发布自动化 应用商店运营 开发者工具 本地化服务 截图生成 法律文档生成 订阅管理 独立开发者 效率提升
用户评论摘要：用户普遍认可其解决“发布税”痛点的价值，尤其对独立开发者和小团队是巨大解放。有效建议集中在与官方商店API的深度集成、版本管理与回滚功能、以及模板编辑灵活性等高级运营需求上。
AI 锐评

Forvibe瞄准了一个真实且疼痛的缝隙市场：应用开发“最后一公里”的运营泥潭。它本质上不是技术革新，而是流程整合与自动化，将分散、重复、高合规要求的应用商店上架工作产品化。其真正价值不在于某个单点功能（如AI生成截图），而在于试图成为连接开发完成与全球上架之间的“发布中台”。

然而，其面临的挑战同样清晰。首先，其核心壁垒依赖于与Apple和Google官方API的稳定深度集成，这本身就是一项持续且脆弱的工程。其次，当前功能更偏向“自动化初版发布”，但用户评论已触及更深层的企业级需求：版本控制、差异对比、回滚机制、团队审批流程——这些才是“保持一切同步”和“安全发布”的关键，也是从工具升级为平台必须跨越的门槛。最后，其商业模式可能面临两难：对预算最敏感的独立开发者是早期拥趸，但他们付费能力有限；而真正需要此服务、有付费能力的中大型团队，其对流程可靠性、安全性和定制化的要求会指数级增长。

产品标语中的“operational busywork”一词精准定义了市场，但能否将“busywork”转化为可规模化的、坚实的“基础设施”，将决定它最终是一个解决长尾痛点的利基工具，还是一个重塑应用发布工作流的核心平台。

查看原始信息 ▼
Forvibe
Focus on building your mobile app, not the operational busywork. Forvibe streamlines the entire launch process for App Store and Google Play. We automate localization, store listings, and screenshot generation while handling AI landing pages, legal docs, and global subscription pricing. Don’t let launch friction slow you down. We handle the heavy lifting so you can ship faster, scale globally, and keep your focus on what truly matters: creating a great product.

Congrats on the launch — this is a huge unlock for indie devs and small teams who want to ship globally without getting buried in app store ops and legal busywork.

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@zeiki_yu Thank you for your feedback and for understanding our vision!

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Hey Product Hunters 👋, I’m Berat. I’ve been building and publishing mobile apps for over 8 years. While developing apps is fun, the publishing and launch process is often tedious, time consuming, and repetitive. I built Forvibe to solve exactly this problem. With Forvibe, you can create a professional app landing page in minutes without worrying about domains or hosting. Manage your in app purchases and subscriptions from a single dashboard, design in app screenshots using 10+ ready made templates, and localize them into multiple languages with ease. Legal pages like Privacy Policy, Terms of Use, and EULA are handled in one click and published for you. On top of that, Forvibe provides an AI supported customer support inbox, so you don’t need to set up or manage a separate email system. User requests are analyzed and answered automatically. In short, focus on building your app. Let Forvibe handle everything else.
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@zekkontro Hi Berat, congrats! Can we edit them? including the screenshots?
btw the coconut tree eye looks smart, haha

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@zekkontro This is very cool Berat, congrats on the launch. Do you keep a log of the submission files (most app makers only find out at V2 that they need the v1 subs)?

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Automating the “launch tax” (localization, listings, screenshots, legal, pricing) is such an underrated win for mobile devs. The scale pain is keeping everything in sync with App Store Connect / Play Console changes + avoiding accidental overwrites; best practsice is sAPI-driven diff + preview, versioned templates, and per-locale approval workflows before push 🔥 Are you integrating directly with ASC/Play APIs for read/write, and will you add a “release checklist + rollback” mode (revert metadata/screenshots per version) for safer launches?

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@ryan_thill Right now, we’re integrating with the App Store Connect and Play Console APIs and syncing everything so changes are reflected directly in the actual app stores. We don’t have a rollback system in store presence yet, but we’ll definitely add it. That’s honestly a great idea! Thank you for your comment

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#7
Modo
Turn a hardware idea into a buildable prototype
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一句话介绍：Modo通过AI将硬件创意文本描述转化为可构建的原型，为独立创客和软件开发者解决了从概念到实体原型过程中选型、设计、编程的繁琐与专业壁垒问题。
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Design Tools Prototyping Hardware
硬件原型设计 AI设计助手 创客工具 电子工程 3D打印 固件生成 智能选型 产品设计自动化 物联网开发 快速原型
用户评论摘要：用户普遍赞赏其基于真实元器件和规格书的设计理念，认为这是实现“可构建”的关键。核心建议集中在：深化二次约束检查（公差堆叠、连接器间隙、热设计、EMI）；拓展供应链与制造集成（元器件供应商链接、3D打印服务）；完善软件生态导出（如KiCad）；以及修复产品初期存在的少量交互Bug。
AI 锐评

Modo所标榜的“从文本到可构建硬件原型”，其真正的颠覆性不在于“生成”，而在于“约束”。它没有选择生成天马行空的炫酷概念，而是将LLM的能力严格限制在真实存在的元器件数据库和规格书参数之内，这看似限制了想象力，实则抓住了硬件开发从虚拟走向物理世界的命门——可行性。这使其与众多“AI硬件”演示划清了界限，后者往往止步于视觉渲染或理想化模型。

产品的深层价值在于，它试图将资深硬件工程师的隐性知识（如根据尺寸估算外壳、根据引脚定义编写驱动）编码为可重复的自动化流程。这不仅仅是效率工具，更是一种能力平权工具，显著降低了硬件创新的初始门槛。然而，正如资深用户敏锐指出的，真正的“魔鬼细节”在于公差、热管理、EMI等二次约束，这些因素往往在第一次实物组装后才暴露。Modo目前的成功，是实现了“从0到0.8”的飞跃，但能否攻克这些高阶工程挑战，实现“从0.8到1”的质变，将是其能否从“有趣工具”进化为“专业桥梁”的关键。

其商业模式也暗藏潜力。当前聚焦于原型生成，但自然延伸将是供应链集成（元器件采购、PCB打样、外壳打印），这使其可能成为硬件创业的入口级平台。风险在于，硬件领域极度碎片化，长尾需求众多，深度与广度难以兼顾。若过于追求通用性，可能沦为玩具；若过度深入特定垂直领域，则可能失去大众吸引力。如何在这条精密的钢丝上行走，将是其长期发展的核心课题。

查看原始信息 ▼
Modo
Modo turns a text description into a buildable hardware prototype with validated parts, printable enclosures, firmware scaffolding, and step-by-step assembly instructions.
I’ve built hardware projects for years, and the slowest part was always translating an idea into parts, enclosure dimensions, and something I could actually assemble. Modo started as a way to compress that gap—by constraining generation to real components and using datasheet dimensions to drive enclosure geometry instead of guessing. It’s early, opinionated, and definitely not perfect yet. I’d love feedback on what you’d try building with it, and where it breaks down.
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@ethans100 This is brilliant Ethan, congrats on the launch. How far does it go component architecture and diagrams? Component suggestions?

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Congrats on the launch — turning plain text into a fully buildable hardware prototype with real parts and enclosures is such a wild unlock for indie makers and hardware-curious software devs.​

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Constraining generation to real components and datasheet-driven geometry is exactly the right move — that’s where most “AI hardware” demos fall apart.

Curious how you’re thinking about second-order constraints next: tolerances stacking up, connector clearance, thermal considerations, and EMI quirks that usually only show up after the first physical build.

If you can surface those risks early (even heuristically), this could become a serious bridge between software-minded builders and real-world hardware.

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Congrats on the launch! It's really impressive, I like the idea. I've experienced some bugs (wasn't able to write some followups, the Send button doesn't work), however I'm really impressed with how easy and straightforward the process was. Good luck!

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@mrfullset appreciate it - not easy, even with LLMs to ensure all the parts fit, cad renders, etc.

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@mrfullset Fixed it. The issue was when you're not logged in and in its anonymous build, you couldn't modify the chat, but now you can.

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Wow - super cool! Do you then link your users with relevant hardware builders/providers? Help on the supply chain side

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@daniele_packard always open for support - this is a side project since for my main gig i needed to build a hardware project and i found myself doing all these steps manually.

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Constraining generation to real components + driving enclosure geometry off datasheet dimensions (vs “vibes”) is the right way to make AI hardware actually buildable 🔥 The scale pain is tolerance stacks + connector/thermal/EMI realities that aren’t in the BOM; best practice is parametric CAD (Replicad) with clearance rules, fast-fit test prints, and constraint checks (USB/headers/screw bosses) baked into the generator. How are you modeling tolerances/keepouts per part, and will you add an export to KiCad + a “vendor-available BOM” check (LCSC/DigiKey) next?

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Congrats on the launch! Excited to see this product since many hardware founder friends always feel painful to find all parts to make their prototype. Wandering will you considering to connect with some 3d printing shop to allow more room for builders?

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the firmware scaffolding is a nice touch. does it write the actual pin definitions for the specific components I pick, or is it just generic boilerplate?

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@samet_sezer Yes, it writes actual pin definitions for your specific components!

The system reads your wiring diagram and generates real code. For example, if you're building a temperature monitor with a BME280 sensor and OLED display:

// Pin definitions from YOUR wiring diagram
#define SDA_PIN 21
#define SCL_PIN 22

// I2C addresses from YOUR selected parts
#define BME280_ADDRESS 0x76
#define SSD1306_ADDRESS 0x3C

// Component-specific libraries (not generic!)
#include <Adafruit_BME280.h>
#include <Adafruit_SSD1306.h>

Adafruit_BME280 bme;
Adafruit_SSD1306 display(128, 64, &Wire, -1);

void setup() {
  Wire.begin(SDA_PIN, SCL_PIN);
  bme.begin(BME280_ADDRESS);
  display.begin(SSD1306_SWITCHCAPVCC, SSD1306_ADDRESS);
}

void loop() {
  float temp = bme.readTemperature();
  display.printf("%.1f°C", temp);
  display.display();
  delay(2000);
}

It maps BOM parts → wiring pins → working code with the correct libraries and initialization for each component. You could actually flash this and it would work.

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#8
FiloMail for Android
AI Gmail client that turns emails into clear tasks
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一句话介绍：一款AI驱动的Gmail客户端，通过智能摘要、任务提取和自动分类，在移动办公场景下解决用户邮箱信息过载、任务管理混乱的痛点。
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Android Email Productivity Task Management
AI邮箱客户端 智能邮件摘要 邮件任务化 智能标签过滤 隐私安全 生产力工具 Gmail增强 跨平台 收件箱管理
用户评论摘要：用户肯定其核心的AI摘要和任务提取功能，并关注与原生Gmail更新的差异、隐私安全（数据存储方式）、以及任务能否与外部日历/任务应用双向同步。开发者回应了隐私关切，并透露任务同步功能正在研发中。
AI 锐评

FiloMail的野心，并非做一个简单的Gmail皮肤，而是试图成为凌驾于收件箱之上的“意图层”操作系统。它将邮件从沟通记录重新定义为待办事项的原材料，其核心价值在于“任务代理”（Task Agent）功能——这本质上是一次对非结构化信息的强制性结构化。它用AI的确定性，对抗人类沟通的模糊性，风险也恰恰在此：其摘要、提取的准确性和上下文理解深度，决定了它是“省心”还是“添乱”。

产品巧妙地避开了与Superhuman在“极速”赛道的正面竞争，转而深耕“理解”与“行动”。其“风险检测”和暗示中的“语气识别”，试图触及更微妙的人际管理层面，但这把双刃剑对AI的伦理判断提出了更高要求。目前，其最大的护城河与最大的挑战都指向隐私：强调本地化处理是明智的信任筹码，但这也可能限制更复杂AI功能的实现（如基于用户习惯的深度个性化）。用户关于双向同步的提问直击要害：若不能与现有工作流（如Google Tasks）融合，它创造的将是又一个数据孤岛，反而增加管理负担。

真正的考验在于，它能否在“自动化”与“用户控制感”之间找到精妙平衡。当AI替你决定什么重要、什么该做时，解释性（为何生成此任务）和可修正性（轻松调整AI决策）将比炫酷的模型本身更重要。FiloMail的成败，将验证在邮箱这个古老场景中，用户是否愿意让渡部分控制权，以换取心智负担的切实减轻。

查看原始信息 ▼
FiloMail for Android
A faster way to handle Gmail on Android. Filo summarizes conversations, suggests replies, and turns emails into clear next steps. Define Smart Labels and Smart Filters with short prompts to auto-sort, pin, mute, or label messages. Convert emails into tasks with due dates, priority, and time zone, so you can stay focused.

Hey Product Hunt! I’m one of the builders on Filo Mail 👋

We’re a small team, and we’ve been using AI to tackle a very human problem: inbox chaos. Email is where life and work show up, and we want Filo to keep things calm, while still making sure you don’t miss what matters.

Filo launched on iOS first, then we shipped macOS + Windows. Today we’re finally launching Android, the last missing piece so you can use Filo across all your devices.

What Filo does (in a practical way):

  • AI summaries to make long threads readable in seconds

  • Task Agent (our core): it pulls important events and requests from messy emails and turns them into clear to-dos, with real-time progress updates

  • Smart Labels to automatically group and organize emails, so the right stuff stands out and the noise fades

  • Risk / “gotcha” detection for emails that feel urgent or suspicious, so you can double-check before acting

  • A clean Gmail experience that stays fast and simple

On iOS, we’ve gotten a lot of encouraging feedback, and Filo is currently rated 4.8/5 on the App Store. We’re aiming for Android to reach the same bar, and we’ll iterate quickly. Honestly, we’re trying to move as fast as the models do.

If you give it a try, we’d love your feedback (good or harsh). We’re building in the open and we want Filo to grow with you.

What’s the one thing in your inbox that annoys you the most right now?

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@justin_bao Gmail recently launched a similar update. How does it compare to Gmail's update?

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@justin_bao congrats on the launch. Does this replace Superhuman?

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The gotcha detection is a feature I didnt know I needed until today! We’ve all sent emails in a rush that we later regretted. Can it also detect passive-aggressive tones from clients? Asking for a friend:D Great job on the 4.8 rating on iOS, hope Android hits the same mark!

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@eugene_chernyak We don’t officially ship a “spicy email detector” yet, but you’re definitely bringing up an interesting point😆. Appreciate the shoutout, Android is catching up fast.
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Congrats! Gmail efficiency on steroids! AI summaries + smart filters + task management in one app.Absolute must-have!

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@yuki1028 Thank you, Yuki! We are thrilled that you’re enjoying the efficiency boost! 🙌

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Are the data read by the 3rd party, or stored only locally on my computer?

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@busmark_w_nika Great question, Nika! We prioritize privacy, so we only access your emails directly through the Gmail API. All data is stored strictly locally on your computer. We do not sync, read, or store any of your emails on our servers.

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“Task Agent” that turns messy Gmail threads into real to-dos (with due dates + time zones) is the kind of AI that actually saves time. The scale pain is trust + privacy as you summarize/extract across sensitive inboxes; best practice is least-privilege Gmail scopes, local-first indexing, and explainability (link each task back to the exact email snippet + confidence) so users can verify fast 🔥 Are tasks derived via deterministic rules + an LLM pass, and can users export/sync tasks bidirectionally (CalDAV/Google Tasks) without creating duplicates?

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@ryan_thill Thanks so much for the support and the thoughtful suggestions! We take user privacy very seriously, and task syncing with other task managers is currently under active research on our side. 🙌

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#9
Templated
Video Rendering & API for Automated Dynamic Videos
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一句话介绍：Templated通过API提供自动化动态视频渲染服务，使开发者能基于模板批量生成MP4视频，解决了在营销、产品演示等场景中需手动制作或维护复杂视频基础设施的痛点。
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Design Tools API Marketing automation
视频自动化 API渲染 动态视频模板 批量生成 无代码/低代码 开发者工具 内容生成 营销科技 云渲染 多媒体处理
用户评论摘要：用户普遍祝贺并称赞产品，认为其将“设计一次，随处自动化”拓展至视频领域是重大突破。主要提问聚焦于技术实现，如后端如何实现规模化渲染（是否使用无头浏览器或GPU加速），以及是否会添加webhook、局部重新渲染等功能以优化成本。
AI 锐评

Templated此次将业务从图像、PDF自动化模板拓展至视频领域，本质上是在争夺“自动化内容生成”的基础设施层席位。其宣称的价值——免除视频基础设施与手动编辑——直击中小企业与开发者在创作动态视频内容时的核心成本与技能门槛。然而，其真正的挑战与价值深度并非在于“能否渲染”，而在于“如何可靠、经济且高质量地规模化渲染”。

从评论中技术向的提问即可窥见关键：规模化渲染的确定性、字体与时间线的精确性、成本控制（如局部重渲染），这些才是企业级客户的核心关切。产品目前强调的“同一工作流”延展性是其优势，但视频渲染在计算复杂度、一致性要求和网络开销上均是指数级提升。若其底层仅是对现有开源方案（如FFmpeg、Remotion）的简单封装，则壁垒有限；若能构建具备容错、帧级精确预览和智能队列调度的专属渲染引擎，并实现动态内容的成本优化，方能构建护城河。

当前市场，视频自动化需求旺盛，但多集中于简单剪辑与合成。Templated定位“开发者友好的API”，策略正确，抓住了产品内嵌、工作流自动化这一高价值场景。成败关键在于其技术架构能否真正兑现“如生成图片一样简单”的承诺，同时处理视频特有的性能与成本怪兽。这不仅是功能叠加，更是一场严峻的技术工程能力考验。

查看原始信息 ▼
Templated
Templated now supports Video Rendering via API. Design dynamic video templates once and automatically generate MP4 videos at scale — using the same workflow you already use for images and PDFs. No video infrastructure, no manual editing. Just templates + automation for social videos, product demos, motion graphics, and personalized content.

Congrats on the launch Pedro! Really nice tool

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@glauberramos 

Thanks Glauber!

Appreciate the support always 🫶

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Templated is amazing. I use and recommend.

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@caiokaspary 

Thanks Caio!

Appreciate the support and all the feedback we gave us along the way.

🫶

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Congrats on the launch — love how you’re making “design once, automate everywhere” possible for images, video, and PDFs with a developer-friendly API.

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Thanks,@zeiki_yu !

Automated video rendering open up a lot of new possibilites on what users can do with our tool.
Appreciate the support!

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Hello Hunters! 👋 I’m excited to share something big we’ve been building at Templated: Video Rendering via API. Until now, Templated helped teams automate images and PDFs using reusable templates. With this launch, those same templates can now generate fully rendered MP4 videos, with animations, transitions, and dynamic content, all programmatically. The goal is simple: make video automation as straightforward as image generation. No video infrastructure to maintain, no manual editing, just design once and render videos at scale. We built this for developers and teams who need dynamic video content inside their products, workflows, or marketing systems. I’d love to hear what you think, answer questions, and learn how you’re handling video today. Thanks for checking it out! 🙌
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@templated Congrats on the launch!
Templated making video automation as easy as image generation is huge design once, render MP4s at scale, no manual editing. Excited to see how teams use this in products and marketing

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@templated it's awesome product, super useful for us!

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Amazing product, the possibilities are endless. Congrats on the launch!

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Congrats on this launch guys!!

Quick question, how does the backend handle rendering at scale? Server-side with headless browsers, or something more efficient like GPU acceleration?

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amazing tool! Congrats on the launch
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@titxo 

Appreciate the support, man!

❤️

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Congrats on the Launch! I've been following Templated evolution over the last years and it has been amazing! Definitely one of the best tools in its niche!

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@nihey 

Thanks Nihey!

Appreciate the support (and help!) you always give us 🫶

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Bringing the same “design once, render at scale” workflow to MP4s is a huge unlock for product + marketing teams. The scale pain is deterministic rendering + throughput (fonts, timing, transitions) under load; best practice is idempotent rendder jobs with a spec hash, queueiang + autoscaling workers, and frame-accurate preview (same engine) so what you see is what the API outputs 🔥 Are you rendering via a headless timeline engine (Remotion/FFmpeg pipeline?) and will you add webhooks + partial re-rendering (only changed layers) to cut costs for personalization?

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@ryan_thill 

Thanks, Ryan!

Definitely!
We've been working hard for a long time to make our tool scalable to support from the indie hacker just starting a new project to Enterprise clients with large volume of automation.

Thanks for the support!

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#10
Portalwith
Create a secure site client portal with notion database
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一句话介绍：Portalwith将Notion内部数据库转化为专业、安全的客户门户，解决了团队使用Notion协作时，对外分享信息混乱、不专业且权限管理不便的痛点。
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Productivity Marketing Notion
Notion工具 客户门户 无代码开发 SaaS 数据安全 品牌定制 工作流集成 信息过滤 仪表盘生成
用户评论摘要：用户肯定产品将混乱的Notion链接转化为专业门户的核心价值。主要问题集中在客户角色权限、认证方式（魔法链接/OTP/SSO）、行级数据安全实现机制、移动端优化以及未来功能（如客户端评论）规划上。开发者回复已支持多种登录方式和响应式设计。
AI 锐评

Portalwith精准切入了一个被忽视的缝隙市场：Notion的“对外接口”问题。它的真正价值并非技术颠覆，而是作为一层精巧的“翻译器”和“过滤器”。它理解到，Notion对内是强大的生产力工具，但其原生分享模式对外却暴露了生产过程的“后台”——内部注释、半成品、复杂关联，这些对客户而言是信息噪音和认知负担。

产品聪明地做了两件事：一是“降维”，通过关系型数据库过滤，实现行级安全，将复杂的Notion结构简化为客户所需的单一视图；二是“升维”，通过品牌定制和界面净化，赋予其专业门户的“交付感”。这本质上是将Notion从协作后台重新包装为交付前台，满足了知识型服务从业者（如顾问、代理商）既想维持高效灵活的内部协作（Notion），又需呈现简洁可靠客户界面的双重需求。

然而，其深层挑战也在于此：其命运与Notion平台深度绑定，功能边界受制于Notion API。评论中关于嵌入部件、客户端通知的询问，已触及其作为“中间层”的局限性。长远看，它必须在“深度集成Notion”与“发展为独立应用平台”之间做出选择。当前阶段，它是一个极佳的产品化案例，证明了通过精准定义问题边界（仅做呈现与权限过滤，而非重构工作流），并能将单一平台依赖转化为深度集成的优势，同样能创造显著用户价值。

查看原始信息 ▼
Portalwith
Create a beautiful app/dashboard/client portal site with Notion. More professional, more customizable, your own branding, no multiple workspaces. You can still focus on your notion workspaces for your team work.

Hey everyone 👋
Thanks for checking us out!

Portalwith was born from a simple frustration:
Notion is amazing internally, but sharing it with clients often feels messy and unprofessional.


Clients don’t need to see:

  • internal notes

  • half-finished ideas

  • complex databases

  • expensive to scale when inviting many users

They just want clarity.

So Portalwith turns your existing Notion setup into a clean, client-ready portal with proper structure, visibility control, and a professional feel.

If you:

  • use Notion for client work

  • send tasks, project updates, or deliverables

  • want to look more polished without changing your workflow

…Portalwith is built for you.

Happy to answer any questions, and I’d really appreciate your feedback ❤️
Let me know what you’d like to see next.

- Ryan

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@distartin Great use case Ryan, congrats on the launch. Can your clients have multiple roles?

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@distartin This resonates clients really only want clarity, not internal chaos. The visibility control angle feels especially important once multiple clients are involved. What’s the biggest feature request you’ve been hearing so far?

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Congrats on the launch — love how this turns messy Notion links into a polished, secure client portal without changing existing workflows.​

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Congrats on your launch guys!

How does client authentication work? Magic links, password logins, or SSO options? What measures ensure row-level security for filtered database views?

Also, do you have any plans for mobile optimization/responsive portals, embeddable widgets, or deeper features like client-side comments/notifications?

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@cathcorm  thanks!

1. We support magic links and otp today and sso.

2. For data security, content is filtered via relations to a client database in Notion, that relation is what determines what each client can see, so clients only ever access their own rows.

3. Yes, the portal is fully responsive and optimized for mobile. We intentionally keep the UI simple (Notion-like) but you can still add custom blocks and logic on top.


Let us know if you’d like to try it out... happy to help

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#11
RelateDB
Offline-first database schema designer in your browser
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一句话介绍：一款离线优先、浏览器内的数据库架构设计工具，让开发者能快速、无摩擦地可视化设计数据表关系，并导入/导出SQL/DBML，无需账户和网络连接。
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数据库设计工具 可视化建模 离线优先 无账户 隐私安全 SQL/DBML导入导出 浏览器应用 开发者工具 架构设计
用户评论摘要：用户高度赞赏其离线、免账户、无摩擦的核心体验。主要建议集中在：处理大型架构时的布局稳定性与版本对比功能，以及未来增加只读分享链接、协作和迁移差异生成等高级功能。创始人确认数据存于本地IndexedDB，并计划开发版本快照、差异对比和云同步。
AI 锐评

RelateDB精准切入了一个被忽视的缝隙市场：轻量、瞬时、隐私至上的数据库草图设计。它没有选择与Lucidchart、dbdiagram.io等全功能或云端协作工具正面竞争，而是回归了开发者“随手画个图”的本质需求——打开即用、关闭即走，数据完全本地。其“离线优先”和“无需账户”的设计，不仅是功能亮点，更是对当下工具普遍存在的“注册墙”、“功能订阅墙”和“数据上传焦虑”的犀利反击。

然而，其真正的价值与挑战并存。价值在于它极致简化了设计到SQL/DBML输出的“单机循环”，成为了个人开发者或小团队快速迭代的思维延伸工具。但评论也一针见血地指出了其天花板：当架构复杂化，缺乏版本差异、布局稳定性和协作能力，会使其停留在“草图”阶段，难以管理严肃项目的演进。创始人规划的版本快照、差异迁移和只读分享，正是向“生产级工具”跃迁的关键。能否在保持核心轻量体验的同时，优雅地解决这些进阶痛点，将决定它是止步于一个优秀的小众玩具，还是能成长为颠覆数据库设计工作流的基础设施。其商业模式目前空白，这既是其“无摩擦”承诺的基石，也可能成为其长期发展的隐忧。

查看原始信息 ▼
RelateDB
RelateDB is an offline-first, browser-based database schema designer. Model tables and relationships visually, import SQL or DBML, auto-arrange diagrams, and export SQL/DBML or images. No accounts, no cloud, no limits—everything runs locally in your browser for fast, frictionless schema design.
I built RelateDB because most free database diagram tools I tried had friction — either the UI felt limiting, key features were locked behind paywalls, or simple workflows took too many clicks. I wanted something fast, offline-first, and frictionless: open the browser, design schemas visually, import/export SQL or DBML, and move on — no accounts, no uploads, no artificial limits. Everything runs locally in your browser, and your data never leaves your machine. I’d love feedback on usability, missing features
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@karthikponnam Love this!
RelateDB looks like the no-friction, privacy-first database diagram tool we’ve been waiting for fast, offline, and fully in-browser. Excited to try it and see how smooth schema design can be!

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Congrats on the launch — love how fast, offline-first, and no-account this is, perfect for devs who just want to sketch schemas and export SQL/DBML without any SaaS friction.

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This is very cool, I love the design 👀

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Congrats on the launch! I like the idea a lot, just out of curiosity how do you generate revenue off of something like this?
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Offline-first + no-account + SQL/DBML import/export is the exact “just let me sketch a schema” experience devs want. The scale pain is keeping diagrams stable as schemas grow (auto-layout + diffing) and best practice is a deterministic layout engine + schema version snapshots so changes are reviewable/undoable 🔥 Are you storing state in IndexedDB (with shareable file export), and will you add migration diffs (v1→v2 SQL) + collaborative “share a read-only link” as next steps?

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@ryan_thill  Yes, everything is stored locally in IndexedDB today, so it works fully offline and without an account.

I’m working toward proper schema snapshots + record-level diffs so things like migrations (v1 → v2 SQL) and undo/compare become possible. I’ll also add full workspace export/import for backup and portability.

Read-only sharing and cloud sync are on the roadmap as well.

Really appreciate the feedback, this is exactly the direction I want to take it.

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#12
Alive
Silent safety check-ins—making solo living feel seen
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一句话介绍：Alive是一款为独居者设计的极简安全签到工具，用户只需每日一键签到，若超时或漏签则自动分级发送邮件警报给紧急联系人，在保障独居者安全的同时，最大限度地减少日常打扰。
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Privacy Health Security
独居安全 安全签到 隐私保护 极简工具 应急警报 无定位追踪 加密 健康科技 生活辅助
用户评论摘要：用户普遍赞赏其轻量、隐私友好的设计理念。主要建议集中在增加通知渠道（如短信、Telegram）、扩展设备支持（手表、小组件）以及优化误报处理机制。开发者积极互动，询问关于默认设置、异常规则等具体反馈。
AI 锐评

Alive切入了一个微妙而真实的需求缝隙：在过度连接（社交/位置追踪）与完全孤立之间，为独居者提供一层“隐形安全网”。其真正的价值不在于技术复杂度，而在于对“安全感”这一情感需求的精准解构——它用极简的交互（每日一键）和严格的数据限制（无定位、无登录、加密），将产品存在感压到最低，恰恰是为了换取用户最高的信任感：这工具不会窥探我的生活，只在我“消失”时替我呼喊。

然而，其核心模式也暗含挑战。首先，其有效性高度依赖用户养成“每日签到”这一新习惯，这本身存在不确定性；漏签或手机没电导致的“误报”可能消耗紧急联系人的信任，而信任是此类产品的生命线。其次，目前仅依赖邮件通知，在紧急情况下的触达率和时效性存疑，这或许是用户强烈要求增加SMS等渠道的原因。最后，其商业模式和长期可持续性尚不清晰，作为免费工具，如何平衡运营成本与隐私承诺将是长期考验。

本质上，Alive卖的是一种“安心的可能性”。它不像传统安防产品那样试图掌控全局，而是承认独居生活中的不可控，并用最低成本设置了一个安全底线。它的成功与否，将取决于能否在“极度克制”与“关键时刻可靠”这一对矛盾中，找到并维持那个完美的平衡点。

查看原始信息 ▼
Alive
Alive is a lightweight safety status tool for people living alone. Unlike location/social tracking, it’s almost invisible: set a check-in timer and tap once daily; if time runs out or check-ins are missed, it auto emails tiered alerts to your emergency contacts. It’s instant to start (no sign-up), no location, minimal permissions, no irrelevant data. Contacts and logs are encrypted. Customize period, grace, reminder cadence, and quiet hours. Silent when you’re fine, loud when you’re not.

Congrats on the launch — love how lightweight and privacy-respecting this is for solo living safety, feels like the right balance of “always there, never intrusive.

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Hi everyone, I’m the maker of Alive. Today we’re launching a “silent safety check-in” tool: set a check-in timer and complete it with a single tap each day; if time runs out or you miss consecutive check-ins, it will automatically email your emergency contacts—based on your tiered settings—with your recent status and a preset message. There’s no sign-up, no location tracking, minimal permissions, and your contacts and check-in logs are encrypted in storage and in transit. We want to strike a balance between being seen and being interrupted, adding an invisible layer of protection when living alone. We’d love your feedback: Are the default check-in interval and grace period sensible? How do the reminder cadence and quiet hours feel? Should we add more notification channels (e.g., SMS/Telegram) or support more devices (watch, widgets, shortcuts)? What other “anomaly” rules would you like to define? Please leave questions, critiques, and suggestions in the comments—we’ll respond promptly. And thank you for sharing it with someone who might need it. We sincerely hope it will always sit quietly on your phone, but speak up for you when it matters most. P.S. To celebrate the launch, we’re giving away 10 free redemption codes. Comment below or DM to get one—first come, first served. H7KLJ76F9JMW A6HMPRKEYRE7 PPERRKTRYNEH EANK733RPFY4 LFYNN679NFFY N69M9KFX3PFY PHEAYLFKM9F7 PHJYXFN47X4W KJMTJNAF67AJ TTHHFATHEXP7
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@dison_wei Congrats on the launch this is a very calm, intentional UI. The circular check-in state and soft gradients immediately communicate safety without urgency, which fits the product philosophy really well.

From a UX perspective, I like how the flow reads visually from “status → configuration → contacts.”
One thing I’m curious about: how do users confirm at a glance that everything is correctly set up? A subtle “all good” or confidence indicator could really reinforce trust without adding noise.

Overall, the restraint here is impressive hard to design something that feels present but not intrusive. Great work 👏

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@dison_wei The “silent until it matters” idea is thoughtful. In real life, what’s the most common false alarm scenario you’ve seen so far, travel, routine changes, phone battery issues, and how easy is it for users to recover trust after one accidental alert goes out?

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That sounds quite useful! Any plans to make a version for android ?

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The app is simple yet very useful :)
Congrats on the launch!

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Omg this app is brilliant ahahahah

How are you handling the tiered alerts and encryption of contacts/logs—client-side only, or with a secure server?

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thanks! are the notifications only via email? if yes, are you guys considering adding other channels?

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Congrats on the launch! This lowkey reminds me of the Chinese app, 'Are you dead?' You should definitely provide SMS notifications and an option to opt for automated calls that go out to emergency contacts

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#13
Art Network
A social network for the art community
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一句话介绍：Art Network是一个专注于艺术社区的社交网络，为艺术家和收藏家提供按时间顺序排列的、无算法干扰的信息流，旨在解决艺术家在Instagram等主流社交平台上因广告、算法压力及内容混杂而难以持续、专注地分享作品与创作过程的痛点。
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Android Art Social Network Community
艺术社交网络 艺术家平台 收藏家社区 无算法信息流 按时间序展示 艺术创作分享 艺术收藏管理 行业垂直社区 反算法设计 深度连接
用户评论摘要：用户反馈肯定其“反算法”立场和简洁理念。主要问题与建议集中在：1. 艺术品溯源与版权保护机制（如签名上传、水印）；2. 媒体存储与下载/转发权限控制；3. 希望增加“展览/收藏”集功能，以便作品汇总成时间线。开发者回应已通过关联工具StudioArchive处理深度文档，并强调将审慎探索信任体系。
AI 锐评

Art Network的推出，与其说是一款新产品，不如说是一面折射出当前内容平台生态异化的镜子。它精准地狙击了Instagram等泛社交平台的“七寸”：算法黑箱、信息过载与商业变现对专业内容生产者的系统性排挤。其宣称的“无算法、按时间序”并非技术创新，而是一种价值宣言——将“可见性”的控制权交还给用户，试图重建一种基于时间线信任的、可预期的社交契约。

然而，其真正的挑战与价值远不止于此。在艺术这个高度依赖视觉信用与稀缺性的领域，平台的核心矛盾将从“如何分发”转向“如何确权”与“如何构建可信环境”。评论中关于溯源、版权控制与作品集管理的提问，直指艺术社交的命门：它不仅是信息流，更是资产与声誉的流通过程。Art Network试图通过与自家文档工具集成来迂回解决，但这暴露了其战略定位的模糊性——它究竟是一个轻量级社交场，还是一个严肃的艺术资产管理生态的入口？若选择后者，将不可避免地踏入“验证”深水区，与“保持宁静”的初心产生张力。

其“反病毒式传播”的定位是一把双刃剑。它过滤了噪音，也可能过滤了网络效应所需的必要流动性。在艺术这个小众、高门槛的领域，如何在不依赖算法推荐的情况下，解决新艺术家的“冷启动”问题，将是其增长的关键瓶颈。本质上，Art Network是在用古典互联网的“博客+订阅”思维，对抗当下平台经济的流量逻辑。它的实验意义大于商业野心，其成败将验证：在高度成熟的平台时代，一个拒绝“优化互动”的垂直社区，能否依靠对专业尊严的回归，赢得一群核心用户的持久驻留。这条路注定孤独，但若走通，其提供的范式或许能溢出艺术领域，启发其他被算法与商业化裹挟的专业社群。

查看原始信息 ▼
Art Network
ArtNetwork is a social network focused on artists and collectors. Artists share studio updates, exhibitions, and new work directly with the people who follow them. Collectors and curators can follow artists and stay up to date through a simple, chronological feed — no algorithms, no engagement tricks. ArtNetwork is designed for long-term visibility and meaningful connection, not virality.
Hi Product Hunt 👋 I’m Adam, the maker of ArtNetwork.io, StudioArchive.io, ArtCollection.io, and ArtMaster.io. Art Network came out of building tools for artists and collectors and realizing that most existing social platforms—Instagram in particular—are no longer especially friendly to artists. Between constant ads, an ever-changing mix of formats, algorithmic pressure, and the blending of personal and professional life, it’s become difficult to simply share work, process, and updates in a focused, sustainable way. Most platforms optimize for reach and engagement. We wanted to optimize for long-term practice and followership. Art Network is intentionally quieter: chronological posts, fewer distractions, and a space where artists can share real updates and collectors can actually keep up without noise. Would love feedback from artists, collectors, curators, and anyone thinking about how creative communities should work online. Happy to answer questions.
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Congrats! Looks cool

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A chronological, no-algorithms feed for artists/collectors is a refreshing “anti-engagement-tricks” stance. The scale pain is trust + provenance (original work, editions) while keeping it calm; best practice is signed uploads + EXIF preservation, optional watermarking, and lightweight verification (studio/venue links) without turning into KYC. How are you handling media storage/rights controls (who can download/repost), and do you plan “collections/exhibitions” as first-class objects so posts can roll up into a clean portfolio timeline?

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@ryan_thill Really appreciate this perspective. The chronological, no-algorithm feed is very intentional. A lot of the art community feels platforms like Instagram broke discovery when they moved away from chronology. If an artist I follow releases a print, I want to know when it’s released — not when it happens to rank in an algorithm.

We’ll continue to explore provenance and trust thoughtfully, without turning the platform into a verification or engagement game.

For artists who want deeper documentation, ArtNetwork integrates with StudioArchive.io, which acts as a system of record for works, editions, dimensions, and exhibition history. Posts can reference documented works without forcing heavy verification upfront.

Thanks again for the thoughtful comment — this kind of feedback is exactly why we built this.

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Love this idea... jumping in to give it a try today ;-)

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great! I love the idea of free algoritms for art work, that way you can really connect just because of your work and pieces. Congrats, keep working on it.

a few things to improve, some issues on profile view creating a post. Just take a look and fix it, I would love start posting here, please let me know when its ready. See you there

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#14
The People Net
Turn your resume into a personal site
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一句话介绍：一款能将简历快速转化为个人站点的工具，在一分钟内解决求职者与创作者搭建个人展示门户的繁琐痛点。
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Website Builder Artificial Intelligence Career
简历工具 个人网站生成 求职辅助 快速建站 作品集展示 在线身份 SaaS 极简操作 职业发展
用户评论摘要：用户肯定其快速、简洁的核心价值，尤其适合求职者和怕麻烦的创作者。主要问题集中于域名自定义、网站可定制化程度以及数据隐私（数据存储、二次利用与一键删除）。开发者回复称支持自定义并正完善域名服务。
AI 锐评

The People Net 精准切入了一个微小但持续存在的市场缝隙：那些需要线上职业身份却畏惧传统建站复杂性的群体。其宣称的“一分钟生成”是核心卖点，本质是将结构化的简历数据自动映射为标准化网页模板，技术门槛不高，但用户体验设计是关键。

然而，产品目前呈现的是一种“精致的简陋”。它用极速和易用性吸引初期用户，但评论中关于域名绑定和深度定制的疑问，恰恰暴露了其作为“个人网站”的短板——真正的个人品牌需要独特性和控制权。若不能平滑过渡到支持自定义域名、更灵活的版式与设计，用户极易在职业进阶后流失至更专业的平台。其引以为傲的“快速”可能成为天花板。

更犀利的点在于数据与隐私。那条零赞却直指核心的评论，质问数据使用与一键删除，揭示了此类工具潜在的阿喀琉斯之踵。在GDPR等法规下，简历数据高度敏感，“一键删除”不应是功能，而应是法律合规的底线。平台若不能清晰、前置地阐明其数据政策，任何便利性都将建立在脆弱的信任之上。

因此，The People Net 的真正价值并非技术突破，而是一个优雅的“上车”体验。它能否从“简历转换器”升级为可持续的“个人数字身份中枢”，取决于它能否在保持简洁的同时，开放足够的扩展性与给予用户完全的数据自主权。否则，它可能只是一个精美的临时驿站。

查看原始信息 ▼
The People Net
Turn your resume into a personal site in less than a minute!

If you:

  • have always wanted to make a personal site but never got around to it

  • are looking for new roles and want your professional / creative work to stand out

  • think your family pet deserves their own personal site (https://meow.thepeoplenet.com/)

Try People Net, we've made it easy to make a personal site in less than a minute, with easy-to-edit fields to make adding new things to your site really easy!

Let us know what you think :)

https://thepeoplenet.com/

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@jeremy_suh Great idea Jeremy! loving this :)

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Congrats on the launch — love how fast this makes it to go from plain resume to a clean personal site, perfect for job hunters and builders who don’t want to wrestle with a website builder.​

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lets go

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This is cool!

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Love the background music in your demo video 😁

How does it work on the DNS side? Should I connect my own domain, server, database or is it somehow integrated to the platform?

Another question: is the website customizable?

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@alina_petrova3 website is customizable! u can prompt it however you'd like.

On the DNS side we're working to make it so you can connect your own domain or pick/buy one directly from in our site! We think picking a domain should be just as easy as picking a username.

Thanks for checking us out! Let me know if you have any other questions.

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Concentration！Is users' resume data subject to storage or utilization for secondary purposes? Does the platform support the one-click complete deletion of data and the immediate offline of user websites at the user’s discretion?

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#15
Fix My Agent (FMA)
See what breaks your AI agent and fix it automatically
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一句话介绍：一款能自动诊断、修复并验证AI智能体（如语音和聊天代理）生产环境故障的工具，帮助开发团队将长达数周的调试优化工作缩短至几小时。
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Developer Tools Artificial Intelligence Tech
AI智能体调试 自动修复 提示工程 性能优化 模拟测试 并行评估 生产运维 开发工具 LLM
用户评论摘要：用户肯定其能大幅缩短优化时间、实现并行测试和避免意外破坏。创始人回复阐明其核心技术是通过模拟数千真实场景进行诊断与修复。主要询问集中在故障追踪是基于观测数据还是模拟，以及是否包含质量评估。
AI 锐评

Fix My Agent 切入了一个清晰且正变得日益棘手的痛点：AI智能体在生产环境中的复杂调试。其宣称的价值并非停留在观测（Observability）层面，而是试图构建从“发现问题”到“验证修复”的自动化闭环。这直指当前AI工程化的核心瓶颈——评估（Evals）能告诉你表现差了，但无法给出明确的修复路径，导致工程师陷入耗时、基于直觉的试错循环。

产品逻辑的犀利之处在于“模拟”和“并行”。通过生成大量域特定场景进行压力测试，试图系统性地定位故障根因（提示、流程或模型配置），而非依赖稀缺且可能敏感的生产日志。同时提供并行测试多种修复方案的能力，将传统的线性迭代变为可比较的对照实验，这不仅是效率提升，更是一种方法论转变，让优化决策从“猜测”转向“数据驱动”。

然而，其真正的挑战与价值天花板也在于此。首先，“模拟”的保真度决定了工具的上限。能否生成足够真实、覆盖长尾情况的用户交互，是诊断准确性的前提。其次，自动生成的修复建议（尤其是提示层面）的可靠性和可解释性至关重要。用户最终“信任”并采纳哪个版本，不仅需要看到指标提升，更需要理解“为什么”——工具在提供“差异对比”时，是否也能提供清晰的归因？最后，它将竞争从“观测”领域延伸至“自动化优化”这一更前沿的战场，需要面对的是企业级客户对流程可控性、安全性和集成深度的严苛要求。

总体而言，Fix My Agent 展现了一个正确的进化方向：将AI应用于AI自身的运维与提升，推动智能体开发从“手工业”走向“工程化”。但其成功与否，取决于在复杂现实场景中，其“模拟-诊断-修复”循环的稳健性与深度，能否真正兑现“几分钟取代数周”的承诺，而不仅仅是提供一个更高效的试错界面。

查看原始信息 ▼
Fix My Agent (FMA)
Diagnose → Fix → Compare → Ship When AI agents fail in prod, debugging is manual and slow. Evals show what broke, but not why or how to fix it. Teams spend weeks on root causes, testing prompts sequentially, swapping models & configs one at a time. Fix My Agent auto-detects why your AI agents fail (system + prompt level), suggests fixes, lets you implement in one click, compare results parallely, and ship the best version. Get the most optimized agent in minutes, not weeks.

Hey everyone 👋

I'm Nikhil, Founder of Future AGI. Excited to launch Fix My Agent for voice ai and chat agent builders.

Quick context on why we built this:

Debugging AI agents is painful. But here's what's worse- even when you know what's broken, implementing fixes is a grind. You tweak prompts, adjust configs, swap models, re-test. Fix one thing, break another. Weeks pass. AI teams still cannot answer- Why the agent is failing… and what should we change first?

All this because there’s no reliable bridge from “agent failed” → “here’s the fix (and proof)”.

We didn't want to build another tool that just shows you what's wrong. We wanted a system that diagnoses, fixes, and validates - automatically. That’s the gap FixMyAgent is built to close.

How it helps?

If you’re building support agents for  booking, claims, onboarding, sales, fintech workflows or anywhere an agent has to survive real users and messy conversations, FixMyAgent helps you diagnose root causes automatically, generating targeted fixes (system + prompt level). Test in parallel. Ship with confidence.

Under the hood (the tech behind)-

  1. It simulates thousands of real-world scenarios for your agent. 

  2. Run domain-specific evals (via our Turing model) to pinpoint where the agentic flow breaks, 

  3. Iterates automatically - test → fix → evaluate, until the eval scores meet the bar you set. 

  4. You stay in control: review diffs, compare outcomes, and ship what you trust.

Reducing weeks of debugging to a few hours. Been testing this in beta, now live for all.

Why we’re confident it works (IMPACT metrics)

Internally, we’ve analyzed 500+ agent optimization sessions.
What used to take teams 15+ hours of manual diagnosis now takes minutes, and what used to be weeks of one-by-one testing becomes a parallel run you can review and ship in a few hours.

A few things we cared about (a lot)

  • Works with any LLM (OpenAI / Anthropic / open-source)

  • Works with any framework (LangChain / LlamaIndex / CrewAI / custom)

  • Suggests prompt + infra fixes and auto-implement fixes at prompt level

  • You can see diff-based changes + projected improvement before shipping

Built for: AI/ML engineers, Prompt engineers & AI Product managers shipping voice and chat agents

If you’re building agents, I’d genuinely love your blunt feedback:
What part of the fix loop hurts most for you today? Diagnosis? Choosing the lever? Proving the improvement?

Try FixMyAgent today → 

Colab | Docs | Try for free

Appreciate the upvote, but even more, the real feedback. 🙏

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@nikhilpareek Hi Nikil, this is brilliant. Congrats on the launch. Is the tracking from observability/telemetry or simulation (thousands of rw scenarios)?

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@nikhilpareek congrats on the launch. Does it also do the quality evals?

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now optimizing your agents is a matter of minutes!

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We’ve been using this internally for a while, and it’s been the most reliable way we’ve found to fix agents without accidentally breaking other parts.

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The parallel trials are the real unlock.....you can test a bunch of fixes side-by-side and pick the winner.

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Worked on the optimisation side of Fix My Agent — transforming simulation metrics into targeted fixes so your AI agents improve automatically rather than by trial-and-error. Really excited to see how folks use it!

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Agent debugging shouldn’t be trial-and-error anymore.
This turns intuition into measurable fixes you can actually trust.

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We have the full package, Generate, Simulate, Evaluate and Optimize. This is one of the key feature we launched to help optimize your agents.

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Fix My Agent turns simulation results into clear steps to optimize your agent.

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This is one of the goto solutions, can't get all the features except one place anywhere else. I can see the issues of my agent and also optimize the prompts in one click.

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This would be huge for support/booking/claims agents where a small failure rate becomes a huge escalations volume. Getting baseline quality up before launch is underrated.

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Evals and observability are great, but teams get stuck at dashboards. This closes the loop from evaluation data to actionable fixes.

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When an AI agent fails, I usually end up guessing whether it’s the prompt, the flow, or the model. Having a tool that simulates real scenarios and shows which changes actually improve things would make that process much clearer.

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#16
Bind
AI-powered contracts for small businesses in minutes
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一句话介绍：一款AI驱动的合同平台，允许小企业主用自然语言描述需求，由AI在数秒内生成定制化合同，并完成电子签名与管理，解决了传统方式模板僵化、定制耗时且缺乏法律保障的痛点。
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Productivity Legal Artificial Intelligence
AI合同生成 电子签名 中小企业法务 智能合约平台 无代码法律工具 SaaS 效率工具 身份验证 合同生命周期管理
用户评论摘要：创始人亲自介绍产品开发初衷与核心优势（AI生成、身份验证）。另一联合创始人征集用户反馈，核心问题是：当前业务中合同最难的部分是什么？模板是否足够？目前评论以产品介绍和鼓励为主，尚无具体功能反馈或批评。
AI 锐评

Bind瞄准了一个精准且痛感强烈的市场缝隙：为没有法务团队的中小企业提供“够用且智能”的合同解决方案。其真正价值不在于简单的“AI+模板”，而在于试图重构合同起草的交互逻辑——从“在固定字段中填空”变为“用自然语言对话生成”。这降低了专业壁垒，但其核心挑战与风险也在于此。

产品宣称“优于大多数律师”，这是一个危险的市场话术。AI在合同起草上的真正能力是“效率”和“查漏”，而非“替代专业判断”。它能快速生成结构完备的初稿，并提示用户可能忽略的细节，但对于复杂条款的风险博弈、行业特殊惯例及最新司法实践的理解，目前仍无法与经验丰富的律师相比。其“合法支持”的根基是训练数据的质量与覆盖度，这需要持续投入与验证。

另一个亮点是集成Stripe ID等身份验证，直指电子签名领域的欺诈痛点，增加了产品的可信度与实用性。然而，作为初创产品，其面临的考验在于：如何平衡“简单易用”与“合同的严谨性”？如何建立用户对AI生成合同的法律效力的信任？以及，如何应对不同行业、不同法域下合同规范的巨大差异？

总体而言，Bind是一个极具潜力的效率工具，其方向正确。但它目前更适用于标准化的简单合同场景。其成功与否，将取决于AI模型在垂直领域的深耕程度、法律合规的严谨性，以及能否构建一个让中小商家真正“放心”的生态，而不仅仅是“快捷”。

查看原始信息 ▼
Bind
Bind, the ultimate contract platform for small businesses. Describe what you need in plain English, and our AI drafts a custom contract in seconds (better than most lawyers). Send for e-signature, track status, and store everything, all in one place. No templates to hunt down. No lawyers needed for simple contracts. No enterprise pricing. Perfect for: Real estate agents, freelancers, small business owners, consultants, and anyone who needs contracts but doesn't have a legal team.

Hey everyone 👋
My name is Caleb, and I’m the founder and lead developer of Bind.

I come from a sales background, and I repeatedly ran into the same issues with existing e-sign platforms: missing or rigid templates, fraud from people signing on behalf of others, and way too much time spent dragging and dropping fields instead of actually getting deals done.

So about four months ago, I decided to build the tool I always wished existed.

Bind’s biggest advantage: you can turn a simple prompt into a fully structured, legally backed contract. Our AI doesn’t just fill in blanks—it actively asks the questions you didn’t think to ask, then builds a more complete and durable agreement from start to finish. It even embeds the signature boxes for you!

On top of that, Bind adds stronger trust to e-signing by verifying identities through Stripe ID and SSN verification, helping ensure the person signing is actually who they claim to be.

Bind is built from the ground up using multiple specialized AI models to remove friction, reduce risk, and make contracts faster and smarter—without adding complexity.

This is not the final version. I’m actively building and shipping new features, and Product Hunt feedback will directly shape where Bind goes next.

As a thank you to the PH community, you can use PH50FOR3 to get 50% off for 3 months.

I’d love to hear your thoughts, questions, or feature ideas 🙌
Thank you all — Caleb

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@caleb_wickers keep up the good work with this amazing product.

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👋 Hey Product Hunt! I’m one of the founders of SignWithBind. We built SignWithBind because small businesses struggle with contracts, drafting takes too long, templates miss details, and most CLM tools are built for enterprises, not SMBs. With SignWithBind, you can describe your agreement in plain English, let AI generate a complete contract, send it for e-signature, and manage everything in one clean dashboard no legal background or complex setup required. We’d love your feedback: • What’s the hardest part of contracts in your business today? • Are templates enough, or do you usually need customization? Thanks for checking us out, excited to hear your thoughts!
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#17
QRiety
Dynamic QR Codes with real-time tracking & analytics
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一句话介绍：QRiety是一款提供实时追踪与分析功能的动态二维码生成工具，解决了传统静态二维码无法更新、难以衡量线下营销效果的痛点，适用于市场营销、活动、产品包装等多种场景。
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Web App Marketing SaaS
动态二维码 实时追踪 营销分析 数据仪表盘 品牌定制 批量生成 API集成 营销工具 线下转化追踪 免费增值
用户评论摘要：目前仅有一条由开发者发布的发布评论，介绍了产品背景与核心价值，旨在引导讨论。尚无真实用户反馈、问题或建议。
AI 锐评

QRiety切入的是一个看似陈旧但痛点明确的赛道——二维码管理。其宣称的“动态更新”与“实时分析”功能，直指传统静态二维码在营销活动中的致命缺陷：一旦印刷即成定局，线下流量如同黑箱。这确实抓住了营销人员在衡量线下转化、优化活动效果时的真实需求。

然而，产品的核心价值与面临的挑战同样清晰。其真正卖点并非生成二维码，而是提供了一个连接线下与线上数据的“监控”与“调控”中枢。这对于需要精细评估线下广告、展会、产品包装引流效果的企业具有实用意义。但问题在于，市场早已不乏同类动态二维码服务，QRiety需在分析深度、数据准确性、更新速度或定价策略上建立差异化壁垒。

从仅有的开发者评论看，产品尚处于市场验证初期，缺乏真实用户反馈是最大隐忧。用户是否会为“分析”功能持续付费？其数据能否与现有营销栈（如CRM、Google Analytics）无缝集成？其“免费开始”模式如何实现可持续增长？这些都是待解之题。本质上，QRiety是在将线上营销的“可追踪、可优化”逻辑复制到线下场景，但它的成功不仅取决于技术实现，更取决于能否说服市场，为“线下数据洞察”这一曾经模糊的概念持续买单。在二维码已成为基础设施的今天，其前景在于能否从工具升级为不可或缺的营销数据分析节点。

查看原始信息 ▼
QRiety
Create professional, dynamic QR codes with real-time tracking and comprehensive analytics. QRiety offers: ✓ Dynamic QR codes that can be updated anytime ✓ Detailed real-time tracking (scans, locations, devices) ✓ Comprehensive analytics dashboards ✓ Customizable designs for your brand ✓ Bulk creation for larger campaigns ✓ API integration for developers Perfect for marketing, events, product packaging, and more. Start for free!
Hello everyone and Product Hunt! 👋 Launching QRiety - dynamic QR codes with real-time tracking! **The Problem:** Traditional QR codes are static and untrackable. Once printed, you're stuck with wherever they point. **Our Solution:** ✨ Dynamic codes you can update anytime 📊 Detailed analytics (scans, locations, devices) 🎨 Customizable designs ⚡ Free to start, unlimited scans We built this after seeing marketers struggle to measure offline campaigns. Every QR code should tell you what's working. Try it free: https://qriety.com/ What use cases would you use dynamic QR codes for? Would love your feedback! 🚀
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#18
Lovable Templates
Free Lovable templates made by experts @ Zeroqode
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一句话介绍：一套由无代码专家制作的免费、可完全自定义和复用的应用模板，帮助开发者快速搭建仪表盘、CRM、分析工具和内部应用，解决从零启动项目耗时费力、结构设计困难的痛点。
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Design Tools Developer Tools Vibe coding
无代码开发 应用模板 快速原型 仪表盘模板 CRM模板 内部工具 开源可复用 Zeroqode Lovable平台 生产力工具
用户评论摘要：发布方强调模板是功能完整的起点，非静态演示，旨在帮助用户跳过“空白画布”。用户反馈认可模板能加速开发，尤其赞赏其为成熟团队提供坚实基础的价值。目前评论以祝贺和产品说明为主，暂未发现具体问题或功能建议。
AI 锐评

在无代码/低代码平台竞争白热化的当下，Zeroqode此举实为一次精准的生态位卡位。其真正价值并非在于“免费模板”这一表层噱头，而在于通过专家级的最佳实践封装，降低高阶用户的使用摩擦和认知负担。

Lovable作为后发平台，面临的最大挑战是如何让潜在用户——尤其是具备复杂需求的企业用户——相信其能力边界。Zeroqode的模板库，本质上是一套经过验证的“可行性说明书”和“架构示范”。它将抽象的平台能力转化为具体、可拆卸的工程实例，如结构化的数据关系、安全的权限逻辑和可扩展的流程设计。这直接回应了无代码领域长期存在的“玩具”质疑，旨在证明在Lovable上构建“真实、结构化、安全”的生产级应用是可能的。

然而，其深层风险与机遇并存。模板化可能导向应用的同质化，并暗示平台自身的灵活性存在隐形天花板。其成功关键在于后续能否形成活跃的Remix文化，让模板成为创新的跳板而非天花板。此外，作为平台的重要生态伙伴，Zeroqode的模板战略也使其与Lovable平台深度绑定，一荣俱荣。当前22票的关注度略显平淡，反映出产品可能尚未破圈，或平台本身生态仍处早期。真正的考验在于，这些模板能否吸引足够多的专业用户进行复杂定制，并反哺出更具说服力的成功案例，从而完成从“开发加速器”到“生态催化剂”的跃迁。

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Lovable Templates
A collection of free Lovable templates by Zeroqode to help you build dashboards, CRMs, analytics tools, and internal apps faster. Each template is fully customizable and open for remix, making it easy to adapt for real projects, prototypes, or production-ready apps.

Congrats on the launch — awesome to see a seasoned no-code team doubling down on Lovable templates to help founders skip the blank canvas and get to real apps faster.​

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@zeiki_yu Thanks! It’s always exciting to see how much faster teams move when they start from a solid foundation instead of a blank canvas. That’s exactly what we aimed for with this collection.

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Hey, Product Hunters! 👋 Over the past months, we’ve been spending a lot of time exploring Lovable and experimenting with what’s actually possible to build on top of it — not just demos, but real, structured and secure apps that make sense in practice. Today we’re excited to share a collection of free Lovable templates by Zeroqode. These templates are not locked demos or static mockups — they’re fully functional starting points you can remix, customize, and use for your own projects. Inside the collection you’ll find ready-made foundations for dashboards, CRMs, analytics tools, booking flows, content tools, and internal apps. The goal is simple: help you skip the blank canvas, understand how things are structured, and move faster from idea to a working app. All templates are completely free, open for remix, and built the same way we’d structure projects for real clients — clean logic, practical flows, and room to grow. We’d love to hear what you think, how you plan to use them, or what templates you’d like to see next. Drop your questions or feedback below — we’ll be around all day. Much love, Levon Founder @ Zeroqode 💙
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#19
Deskie – Frames & Decor for Your Screen
Your screen looks lonely. I can fix that :)
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一句话介绍：一款允许用户在电脑屏幕上直接放置相框和小装饰品的桌面美化工具，为远程办公者营造了温馨、个性化的虚拟工作角落，缓解了长期面对冰冷屏幕的孤独感。
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Chrome Extensions Design Tools Productivity GitHub Design
桌面美化 屏幕装饰 数字生活 情感化设计 远程办公 个性化 免费工具 轻量化应用 非生产力工具 虚拟桌面
用户评论摘要：用户反馈积极，认可其营造温馨感的理念和产品初衷。开发者强调产品完全免费、非营利。主要问题集中于功能实现方式（是预制素材还是自定义创建），开发者回应目前为预制素材，但愿意根据用户需求添加自定义内容。
AI 锐评

Deskie呈现了一个有趣的反趋势样本：在效率工具与数据追踪泛滥的时代，它刻意强调“非生产力”、“安静”与“无罪恶感”。其真正价值不在于技术突破，而在于精准捕捉并试图疗愈一种数字时代的新型情感痛点——远程办公带来的物理空间缺失与情感连接疏离。

它将“工位个性化”这一线下行为进行数字化转译，让WFH（居家办公）用户也能通过低成本的虚拟装饰，构建归属感与情感锚点。产品介绍中“Your screen looks lonely”直指核心：屏幕不仅是工作界面，更是长期相伴的环境，而“孤独”需要被治愈。这本质上是一款“数字慰藉型”产品，其竞争力在于极致的轻量与纯粹（无账号、无付费墙），这与其试图传递的无压力、温暖感高度自洽。

然而，其深层挑战也在于此。当新鲜感褪去，这些静态的虚拟相框与装饰品，能否持续提供足够的情感价值，对抗用户习惯性忽略“桌面背景”的天然惯性？其“完全免费与非营利”的宣言，既是吸引早期用户的利器，也彻底放弃了商业可持续性，可能意味着功能迭代与生态扩展的动力不足。它更像一个充满情怀的精致“数字小工艺品”，而非一个可进化的产品。它成功地提出了一个关于数字环境情感化设计的重要命题，但解答这个命题的深度与持久力，仍有待观察。

查看原始信息 ▼
Deskie – Frames & Decor for Your Screen
Deskie lets you place photo frames and small decor items directly on your screen, like a real work desk. It’s not a productivity tool, tracker, or widget overload. It’s intentionally quiet. You drag in photos of people or moments that matter, decorate your screen lightly, and keep a sense of warmth while working long hours. No accounts, no paywalls, no guilt-driven features. Just a personal nook for your screen :3

hello guys!

this is my first Product Hunt launch and this is Deskie - A tool to keep ur loved ones framed on ur screen/ add charms to ur boring white screen

(watch the 40s demo video i insist its adorable!)

this is completely non profit and free! i just wanted to spread love and joy with this one. i see all my friends decorating their office cubicles, making it their own but i don’t have one since i wfh, so i made this and now i share it with u:)

feel free to drop recommendations for charms if u need any.

Thank You!!

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Congrats on your first Product Hunt launch, Abhijith!

Recreating that cozy, desk-side feeling for people working from home is such a thoughtful idea. Also +1 on the demo video. 😂

I can already think of a few friends who’d absolutely love this.

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@npmitaart Thank you Giodo! Haha yes and The idea is completely non profit too :) I won't charge anybody a dime for this, just spreading love and light with this one!

omg yea? u must send it to them then I insist. If you guys need me to add custom frames/charms lmk. U can dm me on @abhidoes

I appreciate you commenting!!

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Congrats on your launch! Do I build everything in the app or do you have prebuilt stuff or templates?

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@daniele_packard thanks daniele! everything is prebuilt (watch the 40s demo video it’s fun)

if u want me to add any charms or frames let me know i’ll add them anytime :)

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#20
Phinder
Tinder for Product Hunt
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一句话介绍：Phinder将Product Hunt的新品列表转化为可快速滑动的信息流，让用户在碎片化时间中高效、有趣地发现每日产品，解决了传统浏览方式效率低下且枯燥的痛点。
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Productivity Product Hunt Maker Tools
产品发现 信息流浏览 效率工具 无账户使用 浏览器扩展 趣味化设计 每日精选 极简交互
用户评论摘要：用户反馈积极，认为产品创意巧妙且有趣。核心建议包括：强烈希望推出移动应用版本；有用户对产品名称产生误解，期待其能真正成为“连接产品猎手”的社交工具。开发者回应了移动化面临的API权限限制。
AI 锐评

Phinder的聪明之处在于，它用最轻量的方式——一个基于浏览器的、无需登录的交互层——试图优化一个已成熟的内容平台体验。其“真正价值”并非技术突破，而在于对用户注意力和行为模式的精准洞察：它将“浏览”这一被动行为，通过“滑动选择”机制转变为带有游戏化和掌控感的主动决策过程，契合了当下用户稀缺的耐心和决策疲劳。

然而，其价值天花板也清晰可见。首先，它本质是一个“只读”的交互外壳，无法与Product Hunt生态（如收藏、评论、关注发布者）深度整合，这限制了其长期粘性，正如开发者所言，API权限是硬伤。其次，“Tinder for X”的范式虽能快速建立认知，但也容易让用户产生“社交匹配”的错误期待，评论中的误解即是证明。这揭示了产品概念传播中的认知风险。

更深层看，Phinder更像一个精巧的“体验原型”，它验证了市场对更高效、更愉悦产品发现方式的需求。但其长期生存取决于能否从“有趣的玩具”进化为“有用的工具”。可能的路径是超越对单一平台的界面优化，聚合多源信息，或引入个性化过滤机制。否则，其新鲜感褪去后，很可能沦为一次性的效率噱头。它的出现，反而映衬出主流内容平台在信息呈现交互上多年来的停滞与保守。

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Phinder
Phinder turns Product Hunt into a fast, fun swipe deck. Like, skip, or superlike launches, then review your daily history whenever you want. Your swipe history lives only in your browser, so you can explore freely without creating an account.

Finally, a dating app for nerds and tech addicts like me 😂 this is genius. I want a mobile app!

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@alina_petrova3 exactly! 🤣 I'd love to turn this into a mobile app, but for it to make sense, I would need to get write permissions from the API, and @producthunt doesn't give that I think 😭

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Hi Product Hunt! 🚀 I'm Guilherme Campos, and I built Phinder to make daily product discovery feel fast and fun. Instead of skimming long lists, you can swipe right to like, left to skip, or star a superlike, then revisit everything in your daily history. Your swipe history stays local in your browser, so you can try it instantly without signing up. I would love feedback on the swipe flow and what would make this even more useful for your daily Product Hunt routine 😃
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@guilherme_campos uh...so I upvoted before i understood what this was :) I thought it was tinder for PH hunters.(Chris, Kevin, Garry etc)......Please add that. The rest of the product is cool also. Congrats on the launch, still upvoted.

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