Product Hunt 每日热榜 2025-12-11

PH热榜 | 2025-12-11

#1
ClickUp 4.0
All your work: tasks, docs, chat, and AI with 100% context
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一句话介绍:ClickUp 4.0是一款集成了任务、文档、聊天和AI的聚合工作平台,通过将所有工作信息与AI智能体在统一上下文中连接,解决了团队因使用多个割裂工具而导致的“工作蔓延”、效率低下和上下文丢失的核心痛点。
Productivity Artificial Intelligence
一体化工作平台 项目协作 人工智能工作空间 生产力工具 任务管理 文档协作 团队沟通 会议管理 工作流整合 效率软件
用户评论摘要:用户普遍赞赏其一体化设计、性能提升和UI改进,认为其真正解决了工具割裂问题。主要问题集中在AI如何长期保持上下文准确性、与外部工具(如Google/Zoom)的同步细节,以及对“聚合”概念具体能实现什么的进一步说明。
AI 锐评

ClickUp 4.0的野心远不止一次版本更新,而是一次对“工作操作系统”的重新定义。其核心价值并非简单堆砌功能,而是试图用“聚合”和“上下文”这两个关键词,对治现代知识工作的系统性痼疾——“工作蔓延”。

产品将任务、文档、聊天、会议等模块深度整合,并让AI贯穿其中,宣称拥有“100%上下文”。这直指当前AI工具的核心短板:大多数AI助手是“失忆的临时工”,每次交互都从零开始,无法积累和调用跨平台、跨格式的工作历史与知识。ClickUp的“聚合AI工作空间”若能实现承诺,意味着AI从“文本生成器”进化为“工作流程理解者与推动者”,这具有范式转换的潜力。

然而,其最大挑战也在于此。首先,“100%上下文”在工程和算法上是巨大考验,如何从海量异构数据中实时提取、关联并保持信息一致性,且不产生“幻觉”或信息过载,是极高门槛。用户评论中对AI上下文准确性的担忧正是此点。其次,真正的“聚合”意味着要替代或深度连接用户原有的数十种工具生态,其迁移成本、数据安全性和第三方集成深度将是实际采纳的关键。最后,将如此多的功能与AI深度耦合,可能带来界面复杂度和学习曲线的提升,如何保持“简洁高效”的体验,将是对其设计功力的终极测试。

此次更新将重心放在“工艺、质量和性能”上,是对过去产品口碑的一次必要修复,但真正的战役才刚刚开始。它不再是与Asana、Notion在单一维度竞争,而是试图开辟一个“以智能工作流为中心”的新赛道。成败与否,取决于其AI智能体在实际工作流中的理解与执行能力,是否能从“有用的功能”进化为团队不可或缺的“数字同事”。

查看原始信息
ClickUp 4.0
Today marks a new era of ClickUp, defined by craft, quality, and convergence. It’s the future of software, converging 50+ apps to maximize human productivity with AI. ClickUp 4.0 is polished, powerful, and perfectly crafted... and it's available for everyone, now.

Product Hunt, Seven years ago, we started ClickUp with a simple but ambitious idea: one app to manage all of your work.

 

Since then, work has only gotten more chaotic. Teams are juggling dozens of tools, copy-pasting between apps, and losing context in the gaps. We call this Work Sprawl—and it quietly kills productivity.

 

ClickUp 4.0 is our answer.

 

Over the past year, more than 80% of our engineering effort has gone into one thing: raising the bar on craft, quality, and performance. We rebuilt the experience so your work feels faster, cleaner, and more connected than ever before.

 

ClickUp 4.0 is the world’s first Converged AI Workspace—a single place where your tasks, docs, chat, and AI agents all work together with 100% context.

 

Here’s what that means for you:

  • One workspace, not fifteen tabs. Bring projects, docs, conversations, and files together so you always know where work lives.

  • New 4.0 navigation built for focus. A modern, customizable sidebar, a My Tasks hub for your day, and Hubs for teams, meetings, and more.

  • AI that actually knows your work. Connected AI agents that understand your tasks, docs, chats, and connected tools—so they can summarize, answer questions, and move work forward, not just write text.

  • Meetings that run themselves. Built-in calendar, SyncUps, and AI notetaker to schedule, record, summarize, and turn conversations into action items.

 

This launch is a new era for ClickUp.

 

ClickUp 4.0 is live today. I’d love to hear what you think and what you want us to build next.

 

– Zeb

Founder & CEO, ClickUp

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@djcurfew Congrats on the 4.0 launch! curious how your AI agents maintain accurate context across tasks, docs, and meetings without drifting over time?

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@djcurfew Curious how the AI actually ‘understands’ tasks and docs. Does it get context from everything automatically?

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@djcurfew Looks awesome! Navigation and My Tasks = immediate wins. Does Meetings/AI Notetaker auto-sync with Google/Zoom? Congrats!

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Congratulation @djcurfew @thisiskp_ ClickUp 4.0 looks like the first real solution to Work Sprawl - everything finally lives in one connected workspace.

The new performance and UX upgrade is unreal; it actually feels fast enough to keep up with real teams.

Connected AI agents + unified tasks + docs might be the biggest productivity jump ClickUp’s ever shipped.

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Hey PH fam 👋

Super excited to bring ClickUp 4.0 to the Product Hunt community today 🚀

There is a very real pain point I keep hearing from founders, product teams, and operations leaders.

Teams are not struggling because they lack tools.
They are struggling because their tools do not talk to each other. And once the workflow cracks, everything slows down.

Here are the concerns I hear most often:

• “We lose context every time we switch tools”
• “Our meeting notes never turn into action”
• “Updates live in so many places that no one knows the full picture”
• “AI is helpful but it does not understand the actual work we are doing”

These are not small annoyances. They are real blockers that limit execution speed.

That is why this launch matters.

ClickUp 4.0 is the most intentional attempt I have seen to solve the coordination problem at scale. Not by adding more tools, but by bringing everything into one connected workspace and letting AI support the flow instead of disrupting it.

Here is what stands out:

✨ Unified workspace where tasks, docs, chat, meetings and dashboards sit together
✨ AI Chat that actually understands your projects, notes and context
✨ SyncUps that turn calls into summaries and next steps instantly
✨ Autopilot agents that handle routine follow ups and small tasks
✨ A cleaner interface that reduces friction across the entire workflow

And the workflow feels… natural.

Describe what you want to focus on, and AI gives you context from your own workspace.

Jump into a meeting and watch SyncUps convert it into actionable steps.

Move through your day with fewer tool jumps and fewer moments of “where did that information live”

What I appreciate most is that ClickUp 4.0 keeps humans in control.

Your structure.
Your workflow.
AI simply accelerates the pieces that normally slow you down.

The ClickUp team is here all day to answer questions and hear feedback. Drop your thoughts, questions or reactions below 👇

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Convergence is great, and the sprawl problem is real. But would love to see a bit more on what that enables!
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@jalcantara Absolutely! Please dive in and let me know your thoughts. We're happy to solve the problem and feel this launch really gets us there

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One app to kill AI tab chaos. Nice. 👏

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@hayun_song Exactly! No choas just all your work in one place!

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Congrats to the whole ClickUp team, rebuilding this much at the foundation level isn't easy, but the results show.

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@abod_rehman Greatly appreciate you!

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This is a really impressive update. The polish shows.

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@kshitij_mishra4 Much appreciated! We really focused on craft and quality here. Let me know your thoughts

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Huge congrats on the launch!!

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@francescod_ales Appreciate you always friend!

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Congratulations on launch.. This looks brilliant! Best of luck.
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The new hubs and sidebar redesign are incredibly clean. The UI feels calmer, more focused, like it grew up.

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ClickUp's 4.0 is a major game changer!

Been having issues looking into a lot of tasks assigned to myself. After 4.0, the tasks are organized better! With the integration with a lot of apps, it's a breath of fresh air having to do a lot of things within a single app! MINDBLOWN!!!

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Looks polished, but I hope legacy performance issues are gone. Congrats 🥂

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@kate_ramakaieva we wiped them out. Tysm!
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Wonderful update! The unified workspace genuinely feels like the future of project management. 😊
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@iamanantgupta its the future for sure!

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The way it organizes small details saves me from scrolling around apps all day 😌

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feels like a mini workspace that grows with me. Simple start, strong workflow later on.

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The way it organizes small details saves me from scrolling around apps all day 😌

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Chat and work living together actually helps me respond faster without losing track.

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this thing gives my day structure without making it complicated. Big win for focus.

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Can the AI summarize cross-project insights or spot trends automatically?

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@nuseir_yassin1 yes! You can ask Brain or schedule it to look for trends etc. you just need to set a trigger and make sure it has a timer to check. Reach out to us if any questions
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Huge congratulations to the ClickUp team! The craftsmanship really shows. Love seeing ClickUp continue raising the bar for productivity.

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@zerotox greatly appreciate you. That was the entire goal!
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Seems pretty cool - clickup could save me out of tedious project management tasks!

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Smooth UI, faster actions, and better automation. Great launch.

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@nichochar Greatly appreciated!

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This is so relevant. Going to be very useful!
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@pritish_gupta2 Excited to see the time it saves you!

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Big congrats to the ClickUp team. amazing work.

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Looks great. Congrats on the great work.

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@alexmturnbull Ty Alex, excited to hear the worlds thoughts on the release

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Congrats 👏👏👏

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@djcurfew @clickup_chris the layout is so much cleaner and the speed is top-notch! This is great job and every team aiming at being productive should be using this for sure.

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Looks incredibly powerful - data silos from Slack/Notion/etc. have made it very difficult to have a single agent work across all the platforms your team is on. If you have a team fully on ClickUp they will likely see a lot more upside to agents

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The streamlined navigation looks good reducing tab-switching. Nice work!!
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I use ClickUp every day and have already bid farewell to context switching and should I say typing?! Love love love Talk to Text. Do we have a TTT Leaderboard? 🤩

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#2
Finesse by Skippr AI
AI Product Refinement, Right in Your Browser
340
一句话介绍:一款浏览器内的AI产品精修助手,在开发与设计阶段自动捕捉设计、文案和可访问性问题,解决产品上线前缺乏自动化UX与内容质量检查的痛点。
Chrome Extensions User Experience Artificial Intelligence Vibe coding
AI产品评审 UX自动化检查 可访问性测试 设计质量保证 浏览器扩展 实时反馈 产品开发协作 AI设计顾问 MCP集成 预发布质检
用户评论摘要:用户普遍认可其解决“自动化设计/无障碍QA”空白的潜力,赞叹效率提升。主要问题集中于:如何保持跨产品反馈一致性、如何处理多步骤流程、与代码代理的区别、自定义设计系统支持、CI/CD及代码平台集成深度,以及未来是否会从反馈走向自动执行。
AI 锐评

Finesse 瞄准了一个被AI编码热潮掩盖的关键断层:生成代码易,生成优秀产品体验难。它并非另一个编码副驾驶,而是定位为“产品副驾驶”,试图将产品经理和设计师的专业判断力注入开发流程的前端。其真正价值不在于简单的规则检查,而在于试图通过模型去“理解”用户流程与设计意图,进行更高阶的批判性思考。

产品逻辑犀利地戳中了当前“ vibe coding ”的软肋——快速产出可能意味着更快速地产出糟糕的UX。通过MCP与编码代理联动,它构想了一个“评审-执行”的闭环,但这也是其最大风险点:其反馈的“专业性”和“可执行性”高度依赖底层模型的认知能力,在复杂、非标准化的产品逻辑面前,能否提供真正超越资深产品设计师的洞察,而非泛泛而谈,仍需观察。

从评论中的官方回复看,团队思路清晰,明确优先解决“反馈”这一最痛缺口,而非盲目追求全自动执行。未来的挑战在于,如何将模糊的“产品最佳实践”转化为在不同公司、不同设计系统语境下都足够精准的建议,以及如何从UI表层分析走向与业务数据、用户反馈结合的深度分析。若能突破,它有望从“智能检查清单”进化成为产品决策的核心神经中枢。

查看原始信息
Finesse by Skippr AI
AI agent that catches design, copy, and accessibility issues before you ship. Works on Localhost, Production, Figma, Lovable, Replit & more. Syncs with coding agents via MCP. Finesse reviews every screen against UX and product best practices, then gives you real-time feedback. See annotations directly on your UI, generate shareable reports with one click, or create tickets for Linear and Jira. Need deeper feedback? Talk to your AI design lead - the deepest product critique agent available.

Hey Product Hunt 👋 I'm Sagi, founder of Skippr.

AI has made building products faster than ever, but reviewing what it actually built is still painful. That's why we built Skippr Finesse. Skippr Finesse gives instant, expert feedback across Product Management, Product Design, Content, and Accessibility. Like having a full product team in one click. And with Live Mode chat, you can talk directly to specialists as you build, getting real-time guidance instead of static reports.

🧩 The blocker no one talks about
Plenty of tools automate coding, PRs, and deploys, but the product experience still gets left behind. Clean code doesn't guarantee clear UX, and tight engineering doesn't fix confusing flows or inaccessible interactions.
Skippr puts product fundamentals back in the loop, helping teams ship experiences users actually love.

⚙️ How it works
Open any page in your app.
Click the Skippr extension.
Get an expert-grade review instantly, or jump into Live Mode for real-time help.
And with MCP integration, tools like Cursor or Claude Code can automatically implement Skippr's feedback, closing the gap between review and execution.

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@sagi_shorrer1 Congrats on the launch! curious how Finesse keeps its UX and content feedback consistent across different product types?

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@sagi_shorrer1 hello sagi What an amazing solution to solving problems with AI My name is wisdom, from Nigeria - I am a UI designer while taking a warm look at your innovation - I write to express in being part of your design team, help build more functional and clear design experience for user
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@sagi_shorrer1 Congrats! How well does Skippr handle multi-step UX flows across connected screens?

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@ziad_al_ziadi and the team reached out to me recently, and honestly, I see massive potential here. Every product needs this kind of automated QA for design and accessibility.

It is clear that this is built by a team of top-notch players who know their craft. Definitely deserves the support!

Good luck to the whole squad!

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@ziad_al_ziadi  @byalexai this is huge

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@byalexai Thanks for the support Aleks, super excited for this and to be working alongside you 🔥

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Congratulation @byalexai @sagi_shorrer1 This is the kind of AI every product team needs - real-time, practical, and actually useful before launch.

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How does Skippr differ from the AI coding agents? Seems like you’re solving a different, more upstream problem with no coding abilities?

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Hey @roopreddy

Skippr operates on a completely different layer! Coding agents jump in once you already know exactly what you want to build. Skippr is the step before that, the product and UX brain that helps you avoid shipping the wrong thing faster.

It catches issues early, clarifies intent, shapes the experience, and makes sure the direction actually makes sense. Then, when you’re ready to execute, Skippr hands clean, intentional requests off to any coding agent through MCP. It’s upstream, not competing, and it saves a ton of wasted development cycles.

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This looks soo cool! Would love to see Skippr integrate with tools like Cursor/Claude Code. Is that on the roadmap? Great job team

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Thank you @ansh_deb!

Currently, you can integrate Cursor/Claude Code via an MCP using an npm command or by directly adding the JSON config. Tighter integrations with IDEs are something we're definitely thinking about.

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Do you eventually want Skippr to read analytics, user feedback, or session data to inform product suggestions? think that would close the loop neatly

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How does Skippr decide what feedback to give? Is it more rule-based or model-driven

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Hey @kshitij_mishra4, it’s model-driven! There are no rigid rule trees under the hood, as those start to break when reviewing more complex products with nuanced UX flows. Skippr attempts to reason about the user flow, the clarity, the hierarchy, and the intent behind what you’re building across design, product, accessibility and content. It then gives feedback based on that understanding!

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QA automation for AI-powered products is becoming critical. Automated design + accessibility checks before shipping is huge.

Q: How does it handle custom design systems or company-specific UX patterns? Also integrating with CI/CD pipelines - any plans for that?

Love the execution! 🚀

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@imraju Thanks! Great questions.

Custom design systems were actually part of Skippr's original story. We're exploring ways to bring this knowledge into Skippr Finesse.

CI/CD integration is definitely on our radar. We're exploring running Skippr as an async process in CI/CD pipelines to auto-review each PR, plus integrating with GitHub/GitLab/Bitbucket to pull codebase context and potentially push fixes or suggestions as PRs directly.

Are you looking for that full closed-loop workflow - review, find issues, suggest improvements, implement fixes, and open PRs automatically - or more of a PR review agent?

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Congrats on the launch! Curious to know how Skipper's agents pull insights from local dev environment. Is it reading diffs, runtime behaviour, or something else under the hood?

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@sunny_k_s Thanks!

For local dev environments, we don't read diffs, runtime or anything of the like. You're able to bring Skippr context and feedback through the MCP to your local dev environment, however. We do have ideas on our roadmap to tighten the connection to local dev for different teams beyond engineering.

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Love it! The amount of messages i send after a page goes live about how we still need to fix x and y and z. And the messages, screenshots, recordings i get from people saying, how could we go live! this is breaking....ughhh.

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Do you see Skippr replacing traditional PRDs/specs entirely, or is it supporting existing workflows?
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Hey @odeth_negapatan1!

Really good questions- right now, we're more focused on supporting existing workflows. Replacing traditional specs/PRDs is definitely a talking point in many product/engineering circles at the moment, given the rise of vibe coding and such. Ultimately, I think it's a wider cultural question for organisations to abandon PRDs/specs, as it comes down to how certain teams prefer to work. I think Skippr can be useful in both instances.

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Does Skippr integrate directly with GitHub/GitLab/Bitbucket yet? Or is everything done locally through the Chrome extension?

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Hey@dheeman_hota 

Right now, we don't integrate directly with GitHub/GitLab/Bitbucket. You can use Skippr locally via localHost in a browser!

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@dheeman_hota Great question! Everything currently runs through the Chrome extension - no direct GitHub/GitLab/Bitbucket integration yet.

But we're exploring this path to give Skippr codebase context and potentially push changes as PRs directly.

What's your main use case - better context awareness or automated PRs?

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Any plans to let Skippr actually implement the changes it recommends? That would be a huge leap from just feedback to real execution.

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Hey@deepak_jangir7!

Definitely. Tighter, automated implementations for Skippr’s suggested changes are on the roadmap. You can already approximate this today through our MCP connection, which lets you send fixes straight to Claude Code, Cursor, or VS Code.

We started with feedback first because that’s the gap teams feel most—coding execution is already well covered right now. The goal is to close that loop over time!

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@deepak_jangir7 Yes! We're actively exploring this.
Currently, Skippr provides context to coding agents like Cursor or Claude Code via MCP - they handle implementation. But we're definitely looking at the possibility of closing that loop entirely and having Skippr implement changes directly.

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As someone who manually checks UX and content during QA, this is huge. The speed is insane cutting hours of repetitive review work.

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If this truly works well on localhost + Figma + production flows, it’s going to replace a bunch of scattered tools we use today. One extension to rule them all.

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Seeing annotations directly on the UI feels clean. No long reports to decode before fixing things

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this kind of early review system keeps the final build polished without slowing the pace. Pretty solid workflow upgrade 🚀

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Love this. That Live Mode chat sounds good. Can’t wait to try it! 👏

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How does Skippr scale with team size? Is it more useful for tiny teams or also mid-sized engineering orgs?

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This is such a real problem. Everyone talks about AI speeding up build time, but nobody talks about how slow review still is.

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@abod_rehman Yeah, reducing product reworks is something we're looking to impact directly for teams.

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Will Skippr agents eventually specialise beyond product feedback? E.g., architecture reviews, UX audits, testing strategies?

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@ayushkumar1610 For now, we're pretty focused on product feedback however, we're also exploring areas across QA and other forms of visual-based feedback. Keen to hear what areas you have in mind though!

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Brilliant!! I spent two decades designing UI/UX. This is a game-changer. Well done Sagi and team! 👏🏼

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Does it generate a generic review or are there different modes to test certain things?

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Incredible product! It solves the last mile issue of native ai development. Very cool team Skippr 💪💪

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Whoa, Finesse looks amazing! Love the idea of shareable feedback links. Does Skippr AI handle duplicate feedback submissions automatically to keep things tidy? Super curious!

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Skippr seems to be an agentic version of QA!Nice angel to dive in - congrats team!

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Can it read session data to perform analytics

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#3
echo
847 emails → one dashboard with key data from your inbox
270
一句话介绍:Echo是一款通过连接Gmail邮箱,自动从往来邮件中提取关键数据(如合同金额、到期日、发票状态)并生成实时可视化仪表盘的工具,解决了用户在繁杂邮件中难以追踪重要业务和私人事务信息的痛点。
Email
邮件数据提取 智能仪表盘 工作流自动化 个人效率工具 SaaS 信息聚合 可视化分析 智能助理 生产力提升 早期项目
用户评论摘要:用户普遍认可其将邮件转化为可视化仪表盘的核心价值,认为其提供了即时、可操作的洞察。主要问题集中在技术实现细节:如何处理重叠邮件线程和附件版本?是否支持多邮箱(Gmail/Outlook)聚合?能否自定义筛选器?数据识别准确性(如AWS成本)如何?另有用户提出与Obsidian等工具集成的期待。
AI 锐评

Echo的核心理念堪称“邮件矿工”,它试图将最传统、最混乱的数据仓库——邮箱——变成结构化的数据库。其真正价值不在于简单的邮件摘要,而在于定义了一种新的数据交互范式:将非结构化的异步通信(邮件)实时映射为结构化的状态视图(仪表盘)。这戳中了一个深层痛点:现代工作者往往在协同工具(如Slack、Notion)中追求秩序,却放任最核心的合同、发票、行程等关键信息散落在邮件黑洞中。

然而,其面临的挑战与潜力一样巨大。首先,技术可靠性是生命线。评论中关于“重叠线程”和“附件版本”的提问直指核心:邮件上下文极其复杂,简单的关键词提取极易误判,需要深厚的NLP与上下文理解能力作支撑,这对早期项目是巨大考验。其次,产品边界需要谨慎定义。是专注于通用数据提取框架,还是深耕如AWS成本分析等垂直场景?用户需求已显现出分化(商业vs个人,通用vs垂直)。过早追求广度可能导致每个场景都不够精准。

其商业模式也值得玩味。从邮箱中提取的合同金额、付款状态等数据,天然贴近企业的财务与运营流程,这或许暗示其最终路径并非简单的个人效率工具,而是切入企业工作流管理的B2B服务。但这条路上,数据安全与隐私将是用户首要顾虑,也是产品必须构筑的最高壁垒。

总体而言,Echo构想了一个“邮箱即数据库”的未来,但能否成功,取决于其能否在数据提取的“准确性”与场景应用的“深度”上,交出远超现有邮件客户机智能功能的答卷。否则,它可能只会是另一个有趣的、但最终被遗忘的数据玩具。

查看原始信息
echo
Your inbox already contains everything about your work and life: contracts, client conversations, invoices, travel plans, deadlines, etc. Echo builds live dashboards from your email traffic. Extract invoice totals, catch contract renewals, find client projects, track job applications, spot AWS cost anomalies, etc.


👆👆👆

Echo solves two problems:

  1. Monitoring incoming traffic: automatically extracting key details as new emails arrive.

  2. Finding data in old emails: amounts, dates, decisions, deadlines buried in threads.

How it works: Connect your Gmail → Create a "stream" (e.g., "Track unpaid client invoices") → Pick a view (table, timeline, snapshot doc) → Echo scans your inbox and keeps updating as new mail comes in.

What users are already tracking:


Work stuff:

  • Client invoices / payment status

  • Fundraising tracker (all email communication with VC/angels in one dashboard)

  • Team SaaS subscriptions

  • Project deadlines and stakeholder updates

  • Contract renewals (from attached pdfs)

Life stuff:

  • Trip details (flights, hotels, rental cars, etc.)

  • Job applications (who responded, who ghosted)

  • Sales and discount hunting

  • Startup accelerator application tracker

We're currently onboarding early users and prioritizing what to build next based on their use cases to ensure Echo works perfectly for each scenario.

To try Echo just drop us a line i@beau.to or request early access at https://beau.to/echo

18
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@kyrilku Really intriguing approach, i wonder how echo handles overlapping threads or multiple versions of the same attachments while keeping context intact.

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Fantastic software! Instead of being just another summarizer full of text, it offers a live visual dashboard -> instant, actionable insights

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Such a useful tool! Great work @kyrilku and team!

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How does Echo handle multiple email accounts? Can it pull data from Gmail and Outlook at the same time?

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I find this idea very useful. However need to see it in action.
Currently working on ActorDo, and I'd integrate such dashboard into it.

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Stay focused and don't miss a thing. That's what i need.

Good luck with the launch, and I'll be eagerly awaiting plugin for Obsidian, it would be the perfect working space.

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Congrats on the launch! Hope the launch will help you start a new successful product

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Wow it's the best what I saw for today 👏🏻 Can you set up filters yourself or only use predefined ones?

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Very cool

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Great idea for all who use emails on daily basis 🙌

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Cool SaSS.

would love to know what tech stack do you used?

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Wow, Echo looks amazing! I love the idea of turning email clutter into actionable dashboards. How does it handle identifying and categorizing financial data like AWS costs - any integrations with cloud billing platforms?

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What is meant by "847 emails"? Just a placeholder number on number of emails in your inbox?

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Congratulations on your launch!🎉 I'm a big fan of Cora, a similar service, and I understand it excels in business applications, but I would be very happy if it were also available for personal use.

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Brilliant idea! I would be thrilled to receive early access!

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Interesting approach. Can this work across separate email addresses (manage multiple businesses)?

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Good job, a real use case for AI !


I’m concerned about the privacy aspect though. Invoices and other strategic data could potentially be accessed by the model’s company.
Providing clearer guarantees or on-device / self-hosted options could make serious businesses more comfortable adopting your product.

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will try it out. great job

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Email intelligence turning inbox chaos into actionable data is solid. Invoice extraction, contract tracking, sentiment analysis - all valuable use cases.

Q: How deep can the AI go - can it categorize custom business workflows? And what about data security for enterprise?

Great launch! 🚀

0
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#4
Signal by Vouch
Modern landing pages with a short video for you to stand out
212
一句话介绍:Signal by Vouch 是一款利用AI工具快速创建个性化招聘官视频和落地页的平台,旨在解决海量、同质化的招聘触达效率低下问题,通过视频化、个性化内容提升候选人的回应率和体验。
Hiring Human Resources Video
招聘科技 AI视频生成 招聘营销 候选人体验 个性化触达 HR SaaS 招聘流程优化 视频招聘 人才获取
用户评论摘要:用户普遍认可产品解决了招聘触达同质化、噪音大的痛点。主要问题集中于:与ATS系统的集成深度、AI生成视频脚本的自动化程度(目前仍需招聘官输入)、大规模发送时的视频质量保持。开发者回应将根据用户反馈探索更深集成。
AI 锐评

Signal by Vouch 切入了一个看似细分却直击痛点的市场:招聘触达的“最后一公里”。其核心价值并非简单的视频生成,而是试图将规模化效率与人性化沟通这对天然矛盾进行调和。产品聪明地选择了“视频+落地页”的组合拳,视频负责建立初步情感连接与信任,落地页则承载具体信息与转化,这比单纯的视频邮件或短信更成体系。

然而,其面临的挑战同样清晰。首先,其宣称的“AI赋能”目前看来更偏向于流程提效和灵活性支持,而非真正的智能内容生成,脚本仍需人工输入,这限制了其“规模化”的承诺。评论中关于与ATS集成和视频质量一致性的疑问,恰恰暴露了从“单点工具”到“工作流嵌入式解决方案”之间的鸿沟。招聘官需要的是无缝融入现有工作流、且能稳定批量生产高质量个性化内容的工具,而非另一个需要额外维护的独立平台。

其次,产品的长期价值取决于其能否构建真正的竞争壁垒。视频招聘工具赛道已不乏竞争者,其差异化优势“由Vouch背书”及“落地页”功能易被模仿。真正的壁垒可能在于通过数据积累,让AI更精准地推荐视频风格、脚本话术,并与ATS数据深度结合实现超个性化,这需要深厚的行业Know-how与时间。

总体而言,这是一个正确的市场切入点和优雅的v1.0产品,但尚未构成颠覆性创新。它能否从“值得一试的酷工具”进化为“招聘团队不可或缺的基础设施”,取决于其后续在AI深度、系统集成和工作流重构上的进化速度。

查看原始信息
Signal by Vouch
Create and send personalized recruiter videos and landing pages in seconds with Signal by Vouch. Boost response rates and humanize outreach using AI-powered recruitment tools.

We’re super excited to launch Signal today. We built it because recruiter outreach has become noisy and forgettable, and candidates deserve something more human, thoughtful and personal.

Signal creates simple, beautiful landing pages with a short video so your message actually cuts through. It’s our v1 and there’s a lot more we want to add, so we’d love your feedback.

Huge shout-out to the team and to @stevenbirchall @dstirk and our whole team for getting this live.

23
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Congratulations on the launch@gary_zurnamer! This looks really exciting.

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Looks really helpful, congrats on the launch!

4
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Thanks so much for your support @ctnicholas
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Recruiter outreach being generic is a real problem. Personalizing with video at scale changes the game for candidate experience.

Q: Does Signal integrate with ATS systems? And how does the AI generate video scripts - is it fully automated or does it need recruiter input?

Love this! 🚀

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Our integration with most ATS platforms is very limited (import/export back-and-forth), though we will explore more deeper integrations based upon customer feedback and usage. The video scripts require recruiter input currently @imraju
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Excited to see this in action! Could save so much time for teams.

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Please let us know what you think of it once you start using it @abod_rehman
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Nice entry-product for Vouch! 👏🏻 Great for gaining traction and awareness.

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Thanks @pasha_tseluyko
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Aussie? Congrats on the launch!

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Thanks @andrew_uxpin . Yeap we're definitely Australian made
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Vouch looks amazing! That Signal feature for personalized recruiter videos is genius. How does the AI handle different video styles for different company cultures?

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@jaydev13 great question. For now we've tried to give the recruiters a lot of flexibility around how they record their 'base' video for their pitches using the Vouch recorder, as well bring in videos they may have created in other tooling. We're hoping, as part of the roll out, to get some customer guidance around what else they need or what else they'd like us to explore from an AI side whilst still keeping it feeling authentic.
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This is such a needed refresh for recruiter outreach. Great job

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Thank you @musfk
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Recruiter outreach is definitely noisy. The personalized video + landing page combo makes sense for cutting through.

how do you handle video quality at scale? Like if a recruiter sends 50 personalized videos, does each one maintain quality or does it get generic?

0
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#5
Macaly 3.0
The best editing experience in vibe-coding
203
一句话介绍:Macaly 3.0是一款专注于“氛围编程”的AI辅助设计与开发工具,通过提供直观的编辑模式、全局样式和资产库等精细控制功能,解决了用户在AI生成初稿后难以高效完成最终视觉与布局调整的痛点。
Website Builder Developer Tools Vibe coding
AI辅助开发 氛围编程 网页设计工具 代码编辑 原型设计 AI生成 视觉编辑 团队协作 前端开发 设计系统
用户评论摘要:用户普遍赞扬其流畅的编辑体验、节省AI算力积分以及3.0版本更新的全面性。具体关注点包括:编辑模式的直观性、全局样式能否支持CSS变量等深度定制、与竞品(如Cursor)的功能对比,以及质疑其与成熟设计工具(如Figma)的定位差异。
AI 锐评

Macaly 3.0的发布,表面上是“氛围编程”赛道中一次常规的版本迭代,实则精准地刺中了当前AI生成式开发工具的一个核心软肋:从“草稿”到“成品”的最后一公里困境。产品聪明地将重心从“生成”转向“编辑”,其推出的编辑模式、全局样式、资产库和版本对比功能,本质上是在为AI输出的、不可控的代码黑箱,套上一层可预测、可重复、符合专业工作流的操作界面。

它的真正价值并非替代专业开发者或设计师,而是试图成为连接AI创造力与生产级交付标准的“校准器”。通过赋予用户对布局、视觉和结构的“真实控制权”,它旨在降低AI实验的成本与心理负担,让迭代变得“无压力”。用户评论中提及的“节省积分”和“快速完成应用”印证了这一价值主张。

然而,其挑战也同样明显。其一,专业壁垒问题:它试图同时吸引“新手”和满足“专业用户对CSS变量”的深度需求,这种定位存在内在冲突。其二,生态竞争:在Figma、Webflow等成熟工具已建立强大心智和生态的领域,Macaly需要证明自己不是又一个功能有限的“玩具”,而是能融入真实工作流程的必备环节。其三,“氛围编程”本身仍是一个小众概念,Macaly的成功很大程度上依赖于这个赛道能否真正走向主流。总体而言,这是一次方向正确、聚焦痛点的升级,但产品能否从“令人惊艳的AI演示”蜕变为“不可或缺的生产力工具”,仍需在专业深度与工作流集成上接受更严苛的考验。

查看原始信息
Macaly 3.0
Macaly 3.0 brings the best editing experience to vibe-coding. AI gets you the draft, but finishing is where most people get stuck. Edit Mode, Global Styles, Asset Library and Review Changes give you real control over layouts, visuals and structure so your sites and apps get finished.

Hey Product Hunt! 👋

Macaly 3.0 is all about the editing and refinement phase of building. You can now style elements without prompting, edit text directly, adjust layouts, and set global styles once. Honestly, it’s one of the smoothest editing experiences we’ve seen in vibe-coding tools. It’s fast, intuitive, and helps you get to your vision quicker. Plus you save credits.

We also launched canvas improvements, asset library, team plan, hosting. And yes, 3.0 it's all powered by the latest agents.

Try it and tell us what works and what doesn't.

We’ve got plenty planned and we’re open to chat about what’s next.

Comment for 500k free credits.

8
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@petrbrzek Congrats on the launch!The smoother editing flow sounds like a big step forward for vibe-coding tools.

0
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@petrbrzek Love that it saves credits while editing. Makes experimenting way less stressful.

1
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@petrbrzek  Really looking forward to try 3.0!

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Love this update! Thanks for evolving this product further, I use it weekly for personal projects and for teaching, excited for the agent upgrades and for the hosting improvements! Keep up the great work team 💪

6
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0
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@jakubzitny Let's talk about when Apple will start using Macaly.

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Wow, Macaly looks amazing! Love the focus on Edit Mode and fine-tuning AI drafts. How granular can you get with the Global Styles - can I define CSS variables for truly custom themes?

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Great work guys. I built my first site with Macaly this week and was blown away

2
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0
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@joshua_tiernan Can you share it here with the community?

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Asset library + team plans + improved canvas all landing together makes this feel like a proper 3.0 release not just a cosmetic bump.

1
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Now this is a complete game changer for vibe coding websites. The Macaly team continues to deliver impressive stuff! 👏

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Great work team! What's the new feature having the most impact so far?

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@marekmensa I would say the instant edit mode.

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Nice one! I especially lik the diffing to see what’s changed!

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@matt_roskovec Cursor copied us 😅

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Congratulations on moving forward to the next version, Macaly 3.0.

1
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@radek_poslusny Thanks Radek.

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@durk0 Your product looks amazing, just gave it an upvote! If you’re looking for more support, there’s a startup and tech community here where you can connect with companies, product managers, and tech professionals who are happy to help with upvotes, testing, and feedback. Once you join, feel free to introduce yourself to the group. Here’s the invite link: join.slack.com/t/pmteach/shared_invite/zt-3ic26bu6u-pYOtYOvl_Ld6r5aUtuG5Cw
0
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@trishaagarwalpm good luck
0
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Ansioso para experimentar essa fantástica ferramenta.

1
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My favorite stack is Figma Make and Figma Sites. But maybe it's because we're so fluent with figma.. In this is more for newbies?

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Loving this every bit, smashing out apps in hours. Recently built an app with external storage set up on Wasabi. Never expected this to be so powerful.

0
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#6
Dex by Thirdlayer
Turn tabs into automated workflows and tasks
202
一句话介绍:** 一款将浏览器标签页转化为自动化工作流和任务的AI浏览器扩展,为知识工作者解决了多标签页混乱、跨应用操作繁琐及重复性手动操作耗时等核心痛点,实现“标签页清零”并提升浏览器的主动智能水平。 **
Chrome Extensions Productivity Artificial Intelligence
** 浏览器扩展 AI工作流自动化 标签页管理 生产力工具 智能助手 RPA(机器人流程自动化) 知识工作 YC孵化 隐私保护 无感集成 **
用户评论摘要:** 用户普遍赞誉其强大的标签页整理能力,解决了“数百个标签页”的管理噩梦。用户认可其将标签页转化为任务、自动执行跨应用操作(如日历、邮件)的价值,提升了效率。主要询问包括:对Outlook等应用的支持、未来路线图、以及作为独立应用的可能性。 **
AI 锐评

** Dex的野心并非简单的标签页管理,它试图将浏览器这个最通用的前端,改造成一个以用户为中心、具备“工作流记忆”的AI智能体中枢。其真正价值在于两点:一是“情境化”,它不追求通用AI的泛化能力,而是深耕用户独特的浏览和工作上下文,以此驱动自动化,这比空谈“个性化”更务实;二是“无感集成”,它不要求用户迁移到新平台,而是附着在Chrome这一存量入口上,通过OAuth连接现有SaaS工具,极大降低了采用门槛。

然而,其挑战同样尖锐。首先,“AI命令中心”的定位意味着它要与操作系统级的自动化工具(如Apple Shortcuts)、其他浏览器助手乃至企业级RPA竞争,其作为浏览器扩展的性能边界和权限天花板将是长期制约。其次,“主动式”服务与用户控制感之间的平衡极为微妙,尽管团队强调“关键操作需确认”,但过度主动可能变为侵扰,如何精准定义“用户所需”是持续难题。最后,其商业模式依赖与第三方应用的深度集成,这些应用的API变动或竞争关系都可能成为其生态壁垒。

从评论看,早期用户多为“标签页重症患者”,这是精准的切入场景。但要从一个出色的标签整理工具,升维为一个不可或缺的“数字大脑”,Dex必须证明其工作流自动化能处理更复杂、更专业的业务逻辑,而不仅仅是信息聚合与简单起草。其背后团队来自Meta FAIR、Jump Trading等背景,暗示了在智能体决策与执行优化上的技术潜力,但这仍需在更广泛的公开测试中经受检验。总而言之,Dex描绘了一个诱人的未来工作界面,但其成败关键在于能否在“深度理解用户意图”与“稳定执行复杂任务”这两个AI核心难题上,建立起真正可持续的技术与体验护城河。

查看原始信息
Dex by Thirdlayer
Browser extension that proactively organizes tabs, shortcuts workflows, and handles tasks for you. Your digital mind in Chrome. Turn your browser into an AI command center.

Hey Product Hunt! Regina here, cofounder of ThirdLayer 👋


Got 100+ tabs open? Yeah, we did too.

The problem: Knowledge work requires deep context - your preferences, relationships, and knowledge. Every AI tool gets it wrong because they can't adapt to your unique situation - so we built our own.

Dex turns your browser into an AI workspace that knows you. As a founder and the #1 power user, it's saved me countless hours and entirely removed copy-pasting, organizing to-dos, and manual actions from my workflow.

Here's what makes Dex different:

  • Get to Tab Zero: Inbox zero, but for tabs. Check out our onboarding tomorrow for a surprise ;)

  • Actions Anywhere. Connects dozens of power apps and acts across all your tabs. Find anything instantly from calendar + slack + linear, scrape complex sites into sheets, draft mass personalized emails, + so much more. All in a few seconds without leaving your tab.

  • Proactive Scheduling. Surfaces what you need before you ask - Dex checks your availability the moment scheduling appears and creates calendar invites for you.

  • Automatic Email Drafts. My favorite! Every morning, Dex pings me with important emails and pre-drafts the perfect response with all the relevant context already pulled in.

  • Workflow Memory. Our agentic memory system learns from every interaction. Teach Dex once, never repeat yourself again. Use your daily work diary as a personal knowledge-base & productivity metrics.

Other important notes:

  • Privacy focused. Secure OAuth. We never train on your data. You control everything from incognito chat to specific domain and history settings.

  • Zero adoption cost. No new browser or app needed. Dex works on top of what you already use.

  • Always confirm mission-critical actions. We've built our system around providing you maximum confidence in AI: before editing, deleting, or sending, we ask for one-click confirmation.

Since YC, we've scaled to thousands in closed beta. Today we're opening it up to get your feedback.

Launch special: 500K free tokens + code DEX for $5 off Pro

Dex is built by ex-founders, quant researchers, designers and engineers from Meta FAIR, Jump Trading, and Harvard. Backed by YC and leading deep tech investors. Huge shoutout to Chris Messina (#1 Hunter!) and Michael Siebel for their support!

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Yayy official Dex launch! Time to try the Tasks feature >:)

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finally a tool that allowed me to get rid of my 200 tabs

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This has helped with so many tasks for our team! Especially when it’s not so bulky but required to be done in a browser

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@pasha_rayan Thanks so much Pasha! Honored to be serving your team 🫡🫡

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This is literally the cursor for the browser - theres been so many random small repetitive tasks I've been able to get done so much quicker with Dex and i LOVE the tab org, each task now has its own set of tabs i can clear when done (like monthly bills, groceries etc).

Congrats Regina, Kevin, Charles and the rest of the team!

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love anything that helps me with my 100+ tabs. checking this out!

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@kritikasinghania thanks kritika :)) let us know what you think!

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gotta love tab organization

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@reaganhsu so true first time i've been able to find anything in my 8 chrome windows

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Nice product! congrats on the launch. Interested to know what's on the roadmap for Dex?

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Changing the way we work for real! Congrats on the launch guys ❤️

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@ay_ush Thank you!

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finally dont have to move my life to another browser just to get good ai features! does does dex work with outlook?

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@joshkmartinez hey josh!! it did work with outlook although we've temporarily removed the subagent to patch it up to work better :) coming soon!

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After having this on Chrome I would love something like this also as a standalone app! Congrats on the launch!

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Literally mind-blowing, so many magical moments!

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go go dex!

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Wow, Dex by Thirdlayer looks amazing! I love the idea of automated workflows right from my tabs. How does it handle conflicting tasks across different projects?

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@jaydev13 hey jay!! not sure if this is what you mean by conflicting tasks but we add relevant context independently to different tasks and they run separately in different chats :)

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Never thought to turn my tabs into a "to-do" list of sorts. Really smart! Now to deal with my 20+ tabs....

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@lienchueh Dex helped me organize my 30+ tabs into 5 tasks within a minute!

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Never dealing with 100+ tabs at once again

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How easy is it to customize actions across different tabs and apps?

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@abod_rehman very easy because of memory - if you have a preference or customization for an action, you can let Dex know as well as change it anytime!

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Nice idea! I will surely try it out, need to get rid of my 100s of tab and switching b/w them.

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@sunny_k_s Yesss, it works very well, def try it out!

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How does Dex handle updates to indexed content? Does it auto-reindex in the background, or do you need to trigger a resync manually?

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@getsiful No need to resync manually! we take care of it in the background :)

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#7
Fei Studio
Unify design, product & dev into a single AI native workflow
174
一句话介绍:一款将设计、产品和开发统一于AI原生工作流的工具,允许非技术人员通过文本或截图直接修改真实产品界面并生成生产级代码,旨在解决产品团队因开发资源瓶颈而交付缓慢的痛点。
Software Engineering Artificial Intelligence Vibe coding
AI代码生成 低代码/无代码 产品设计协作 前端智能 开发效率工具 产研协同 AI原生应用 自动化工程 企业级SaaS 软件开发流程
用户评论摘要:用户反馈积极,认为产品“雄心勃勃”,集成简单,团队有才华。关注点集中在:对复杂UI逻辑的处理能力、代码隐私安全性、定价策略(尤其是5人团队起订门槛)以及其相较于传统IDE的优势。创始人回复强调了企业级安全、团队协作价值及处理复杂代码库的能力。
AI 锐评

Fei Studio的野心不在于成为又一个“更好的代码补全工具”,而在于试图重构软件生产的权力结构。其核心价值宣称是“让非技术人员安全地贡献生产变更”,这直指一个更本质的行业顽疾:产研之间的“意图翻译”与排队等待成本。

产品介绍与创始人评论共同勾勒出其差异化壁垒:1. **“仓库感知”与“组件复用”**:这并非从零生成代码,而是在既有复杂代码库中精准定位与适配,这需要深度的代码语义理解,技术门槛远高于空白文件生成。CTO提及克服设计稿与组件不匹配、遗留代码等“现实世界不对齐”问题,正是其宣称“达到可靠性水平”的关键。2. **工作流脱钩**:将AI智能体从开发者本地环境剥离至云端工作室,优化了全流程速度,但更深层意义是**创造了非技术人员可进入的协作界面**。这使其从“开发者效率工具”转向“跨职能协作平台”。

然而,其面临的挑战同样尖锐。首先,**“安全”是双刃剑**。向非技术人员开放代码库修改权限,即便经过“高级工程师标准”的代码和开发者审核,其风险管控、责任界定与变更追溯的复杂性呈指数级上升,这或许是其强调SOC II认证并瞄准5人以上团队的原因——客户需具备一定的成熟度。其次,**价值定位的博弈**。85美元/人/月的定价与团队门槛,表明其坚定服务于中大型企业产研团队,但这也可能将好奇的个体开发者与小团队拒之门外。最后,**工作流的真正融合而非叠加**。产品能否深度融入现有产研流程,减少而非增加上下文切换,将是落地成败的关键。用户评论中“集成到现有工作流很简单”是积极信号,但规模化验证仍需时日。

总体而言,Fei Studio是一次大胆的范式跃进尝试。它不再满足于做开发者的“副驾驶”,而是试图成为连接产品、设计与开发三域之间的“空中交通管制系统”。其成败将不取决于AI生成代码的行数,而取决于能否在确保代码质量与系统稳定的前提下,可信地瓦解那堵阻隔创意与实现的“开发资源墙”。这条路布满荆棘,但若走通,意义深远。

查看原始信息
Fei Studio
Product teams plan fast but ship slow because engineering is overloaded. Fei Studio fixes that! It unifies Design, Product, and Dev into one AI native workflow where PMs, designers, and UX writers can update real products. Open a screen, request and iterate changes with text or screenshots, and let Fei, our repo aware, component reusing Front End Intelligence, deliver code updates written at senior developer standards, for developer review. Real changes, real velocity, no dev bottleneck.

🚀 Introducing Fei Studio: Software Creation for Everyone

Hey Product Hunt, Adir here, CEO and founder of AutonomyAI.

Today we are launching Fei Studio, and I could not be more excited to share it with you.

For the past year we have been building autonomous engineering systems that understand context, read requirements, generate and improve code, fix issues, and support full software workflows. Companies use AutonomyAI today to accelerate engineering at a level that feels very close to autonomous.

Fei Studio brings all of that power to the web.

It is our biggest step toward opening software creation to everyone, not only developers.

Why we built it

We kept hearing the same story.

Product teams, designers, ops, and other non technical folks hold the insights that shape what software needs to do. Engineers hold the ability to turn those insights into reality. The handoff between these groups is still slow and painful. Tools got better. The workflow did not.

So we built Fei Studio to close that gap.

With Fei Studio you can bring a requirement, a mock, an idea, or a screen, and instantly collaborate with our autonomous systems to shape features, refine interfaces, and generate production ready code. Product people can express intent. AI turns intent into working software. Engineers guide the architecture and quality.

It feels like the workflow we all wanted for years.

What we believe about the future

We believe the next big shift in software creation is not faster code generation. It is expanding who can participate.

The future looks like this:

• Product and design can shape early versions of features without writing code

• Engineers focus on the highest value decisions

• AI handles the translation work that used to live between teams

• The distance between idea and execution becomes extremely small

Fei Studio is our step toward that future. It makes building feel collaborative, continuous, and accessible.

What’s going live today

We are opening Fei Studio for teams that want to explore autonomous software creation directly from their browser.

If you care about engineering speed, product iteration, or rethinking how software is built, we would love your feedback and support.

Happy to answer any questions here. Excited to show you what we have been working on.

Thanks for checking it out! 🙌

9
回复

@adir_ben_yehuda Excited to try it

1
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🧪 Behind the Scenes of Fei Studio — From the CTO’s Desk

Hey Product Hunt, Tammuz here — CTO and co-founder of AutonomyAI.
This launch means a lot to me because it’s the result of 2+ years of working directly with developers to make sure Fei can truly understand, personalize, and reuse patterns on any codebase. Hitting that level of reliability is what finally allowed us to take the big leap: letting non-technical teammates work with Fei and effectively contribute to the dev team. 🚀

One of the hardest parts was overcoming all the “real world” misalignments that trip agents up:

  • Figma designs that don’t perfectly match the components in the repo

  • Multiple components that look identical but behave differently

  • Legacy variants the agent needs to avoid

  • Inconsistent naming or one-off overrides

We took what we learned from working with dozens of engineering teams and distilled all of it into Fei’s judgment system — so even in ambiguous or messy situations, Fei chooses the right path.


Another major unlock was decoupling Fei from the developer’s machine. Once everything ran inside Fei Studio, we could finally optimize the entire pipeline for speed without sacrificing the quality we’ve been obsessing over since day one. The result is dramatically faster performance — both compared to where we were, and to most tools in the space. ⚡️

But the part I’m most excited about isn’t just speed.
It’s the shift in who can actually build. Throughout our journey, we kept seeing that the biggest bottleneck wasn’t complexity — it was access. Fei Studio widens the circle of who can safely contribute real production changes, and that feels like a genuine step toward software creation for everyone.

Happy to answer questions — thanks for checking out what we’ve been building! 🙏

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Very ambitious! Happy to see that code is kept private :)

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@joshwallerr absolutely, privacy and security have been top of mind since day one. We are SOC II and have a very transparent security and compliance page on our site 🛡️

2
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@joshwallerr 
Absolutely, this was designed with Enterprise in mind and all the CISO complexity that follows. :)

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@joshwallerr thank you! it is, we are very strict about it!

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I enjoy working with it.

Was super easy to integrate into my existing flows (I used solely Cursor before).

Bonus - Tammuz and the team behind this are super talented and helpful. Pretty easy onboarding and quick to deliver results.

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@michael_zion Thank you for the support!

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I've seen earlier versions and it looks promising, excited to see the new version

2
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@nirbenita 
It's a massive upgrade. :)
It's a game changer just by power of not living in the IDE and being accessible to the product team.

Highly recommend signing up for the beta and seeing for yourself. :)

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Wow, AutonomyAI looks incredible! The idea of PMs making real updates without clogging up dev cycles is game-changing. How does Fei handle complex UI interactions with a lot of custom logic?

1
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@jaydev13 
Surprisingly well! take a look at the video.
It literally takes a simple basic table and transforms it into a fully functional kanban UI, including custom interactions and features that you don't see often like:

on hover on a user it shows the users other tasks. :) it's wild.

Highly recommend signing up and giving it a try :)

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I love the confidence - startups will pay $85/month for anything. Strike that - per user? 500 ACE Component Context Window must be groundbreaking.

But, why must we have 5+ on our team...?

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@osakasaul a part of the magic behind Fei is that it updates its component context with every change by any team member, so we want to make sure people use it in a team where it adds the most value (keeping up with changes to components that colleagues make is a weak spot in FE development). If you have less than 5 developers we can definitely talk :)

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Fei studio is very good - arguably the best - when working within an existing complex code base.

And a team of 5 devs is likely to have that, which means we get to do what we're best at :)

That said, if you'd like to experience it, sign up for the beta and when you see the value, I'm sure we'll find a way to make it work :)

Appreciate the support!

3
回复
#8
Helploom
Unlimited customer support with live chat and help center
150
一句话介绍:Helploom是一款提供无限量实时聊天与帮助中心服务的客户支持软件,以极简部署和全平台兼容性,解决了中小企业在使用传统客服工具时面临的成本高昂、功能臃肿和增长受限于收费模式的痛点。
Customer Success Customer Communication Artificial Intelligence
客户支持软件 实时在线聊天 帮助中心 AI客服代理 无限用量 中小企业SaaS 性价比 快速部署 全平台兼容 替代Intercom
用户评论摘要:用户普遍赞赏其“无限量”模式、简洁设计和易用性,视其为Intercom/Crisp等产品的有力替代。创始人背景和产品理念获得认同。主要问题集中在AI代理与现有知识库的集成效果,以及“无限”模式在LLM成本下降趋势下的可持续性。
AI 锐评

Helploom祭出的“无限量”旗帜,与其说是一项技术突破,不如说是一场针对SaaS行业惯例的定价策略宣战。它精准刺中了Intercom、Help Scout等成熟产品“按坐席、按消息数收费”的商业模式痛点,以近乎“共产主义”的定价,迎合了初创公司对成本敏感和增长不确定性的深层焦虑。其宣称的“3分钟部署”和全平台兼容,本质是降低替换成本,意图在竞争对手服务宕机时(如评论提及的Help Scout)快速收割用户。

然而,其真正的风险与价值都隐藏在“无限”二字之中。在客服场景中,“无限”可能意味着对低质量或滥用性查询的隐形成本承担,尤其是其提及的“AI Agent”功能,若基于大语言模型,其token成本会随使用量线性增长。在LLM成本尚未降至边际成本趋近于零的当下,这种模式能否长期持续,高度依赖于其用户群体的使用行为分布和团队的资金耐力。它更像一个精心计算的增长黑客策略,旨在通过极致的价格价值比快速获取用户,建立壁垒。

产品层面,它抓住了“简化”这一核心需求,将臃肿的现代SaaS工具还原为沟通本质:一个聊天窗口和一个帮助中心。但这也意味着其功能深度可能存疑,在面对复杂工单流、CRM深度集成或企业级权限管理时恐显乏力。因此,Helploom的真正定位可能并非全能冠军,而是作为中小团队从零启动或从高溢价产品“降级消费”的过渡性解决方案。它的成功与否,将取决于能否在“无限”带来的增长狂欢与成本控制的冷酷现实之间,找到那个精妙的平衡点。

查看原始信息
Helploom
Helploom is the most affordable customer support software. It offers unlimited customer support with beautiful Live Chat and Help Center. There's also an AI agent. Unlike others, Helploom offers unlimited messages, users, threads and team members. Setup takes less than 3 minutes: copy the script and paste it on your website, that's it! Helploom works everywhere on the web. HTML, React, Webflow, Framer, WordPress, Shopify, Squarespace, Wix, Bubble, Laravel, Django, Rails, or any other.

Hi everybody,

I started working on Helploom in the last week of July. The product was big, but I was determined to build a simple, affordable customer software that was beautiful and fair. Can't believe it's been more than 4 months already.

Every customer support tool out there is overwhelming, bloated and overpriced. They charge by agents, customers, or messages. They punish you for growing.

Helploom is my way of building software that’s simple, fair, and built with intention and care.

I rely on Helploom every day too, so it's always getting better.

I hope Helploom helps you get closer to your customers and build a business that’s loved, respected, and celebrated. Can't wait to have you on the other side!

Best,
Preet

7
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@preetmishra Congratulations. Mishra ji.

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@preetmishra Looks clean and easy to use! And I adore your logo - it gives such a positive, friendly vibe from the founders. :)

2
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Finally! A decent Intercom / Crisp replacement.

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@nkotov Means a ton! Thank you so much!

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We're using @Helploom for long enough to say it's a really well designed and done product. Congratulations on the launch @preetmishra 🎉

1
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@designerdada Thank you so much! Blessed to have a great team on my side!

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Helploom looks awesome congrats on the launch @preetmishra !

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@david_hartley4 Thank you so much! What do you like the best?

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@preetmishra Killer launch! and its nice to see products that are "unlimited" - I really think as we get closer to the cos of certain LLMs decreasing re: economies of scale - its a good problem to have if people are running into limit issues (or even costing you to be in the platform).

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Wow, Helploom looks amazing! Unlimited everything is super appealing, especially for startups. How well does the AI agent integrate with existing knowledge bases?

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@jaydev13 Thank you! It works super well. Everybody loves it.

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Perfect timing lol. Help scout was down today and I was already running to Crisp but this seems like a better offer.

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@malithmcrdev Unbelievable! Let's talk more! I'd love to help you on Helploom.

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If I had to choose customer support software right now, I'd choose Helploom. Great going @preetmishra 🚀

0
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@ritiksharmarj Means a lot, thanks!

0
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#9
FireWally
A free Mac firewall powered by Apple Intelligence
141
一句话介绍:FireWally是一款免费、直观的Mac防火墙,通过实时监控应用网络连接、一键拦截及Apple Intelligence智能分析,解决了普通用户因系统防火墙功能基础、专业工具复杂昂贵而难以掌控应用“偷跑”流量和数据隐私的痛点。
Mac Apple Security
网络安全 Mac防火墙 隐私保护 免费工具 实时监控 流量管理 Apple Intelligence 一键拦截 用户友好 数据可视化
用户评论摘要:用户普遍祝贺发布并认可其隐私优先设计。有效建议集中在:希望增加基于异常流量的警报与推荐功能;支持按进程(而非仅应用)级别拦截;提供更详细的连接历史日志;以及未来能扩展至网站拦截。
AI 锐评

FireWally的亮相,精准刺中了macOS生态中一个长期被忽视的夹层市场:既不满于系统墙的羸弱,又畏惧于Little Snitch等专业工具复杂性与成本的“沉默大多数”。其核心价值并非技术上的颠覆,而是体验上的“降维打击”——通过“完全免费”和“单屏仪表板”极大降低了防火墙的认知与使用门槛,并巧妙借势“Apple Intelligence”为其简单的允许/拦截操作披上了一层智能解释的外衣,缓解了用户面对陌生连接时的决策焦虑。

然而,其“免费”模式与开发团队(Nektony)以往以清理、卸载工具为主的商业背景,不禁让人对其长期战略与数据使用边界画上一个问号。当前版本功能聚焦且克制(仅应用级拦截),这既是其简洁优势的来源,也可能成为其护城河的短板。用户评论中涌现的对进程级控制、历史日志、网站拦截等需求,恰恰暴露了其与专业工具的差距。若不能快速迭代,一旦用户从“隐私监控启蒙”走向“深度管控需求”,产品恐面临尴尬。真正的考验在于,团队能否在保持简洁性的同时,有序、透明地深化功能,并将“Apple Intelligence”从营销话术转化为不可替代的核心洞察力,从而在“免费工具”与“可信赖的隐私管家”之间找到稳固的立足点。

查看原始信息
FireWally
FireWally is a privacy-first network tool designed to give you full control over your Mac’s online activity. See which apps are actively connecting to the internet in real time, block unwanted connections, and explore detailed traffic history by the hour or for the entire day. Apple Intelligence–powered insights help you understand why apps connect and whether they’re safe, making FireWally a smart, intuitive way to protect your privacy and take control of your network.
Hey Product Hunt community! I’m Yuriy, CTO of Nektony, and I’m thrilled to finally launch FireWally - a free Mac firewall powered by Apple Intelligence! We’ve spent years building Mac cleanup utilities and security apps, and one question kept coming up: Why is monitoring a Mac's outgoing network traffic so complicated? The default macOS firewall is basic, and the most powerful third-party tools are often too technical (or come with a hefty price tag) for everyday users. This leaves most Mac users vulnerable to apps "phoning home" and excessive, hidden data usage. We built FireWally to change that. What makes FireWally different? - Totally free. - Built for simplicity with a single-screen dashboard. - One-click blocking of unwanted apps from going online. - Smart explanations for app connections using Apple Intelligence. Give it a try and let us know what you think! We’ll be here all day answering every question and listening to your feedback.
12
回复

@yuriy_varbanets congratulations! Great product!

1
回复

@yuriy_varbanets Genius idea, congrats!

2
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FireWally is live! 🙌 So happy for the team and proud to be on this journey together. Congrats!

8
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Amazing to see this launch go live! 🥳 Congrats to the team - glad I could contribute!

8
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Great work by the whole team — proud to be a part of it!

8
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So proud of our team and this launch! FireWally is a huge milestone. 🚀

8
回复

The product looks great and the focus on privacy first design is refreshing. I am curious whether you plan to add alerts or recommendations based on unusual traffic patterns. This seems like a tool that can grow in many useful directions.

6
回复

@ngocphuc_1910 Thanks for the kind words! We’re glad the privacy-first approach resonates. Alerts and recommendations are great suggestions - we’re exploring different ways to evolve Firewally, and feedback like this plays an important role in shaping our priorities.

1
回复

Does it allow blocking sites or apps?

3
回复

@nuseir_yassin1 The current version of the app can block apps only. Thanks for the suggestion to block websites!

1
回复

The release is here! ✨

Hope our users will be satisfied with FireWally! 😊

2
回复

Wow, FireWally looks incredible! Im loving the Apple Intelligence-powered safety insights. How granular can you get with blocking connections for specific processes within an app?

2
回复

@jaydev13 Thanks a lot for the kind words — great to hear you liked the Apple-Intelligence-powered insights!

Right now, FireWally tracks and manages network activity only at the app level. The first version of the app doesn't calculate traffic on a per-process basis.

Your suggestion is valuable — we’ll add it to our wishlist.

If you have more ideas, we’d love to hear them!

2
回复

This is really cool. Just installed and setup. Might be more advanced but would love to see a log of the connections if it's possible. For example, I use Opal once/twice a month for calls and I realized it's been phoning home for some reason even though it's not actively being used.

2
回复

@nkotov Thanks for checking out FireWally and for the kind words — really appreciate it!

Your suggestion about having a history of app activity is very interesting. We’ll add it to our wishlist.

If you have more ideas or feedback, feel free to share!

3
回复
#10
Updated.dev
Turn Git commits into Linear-style release notes
123
一句话介绍:Updated.dev 是一款将Git提交记录自动转化为Linear风格发布说明的工具,为高频迭代的研发团队解决了手动编写更新日志耗时费力、难以持续的痛点。
Customer Communication Email Marketing GitHub
发布说明生成 DevOps工具 Git集成 产品更新 团队协作 AI辅助写作 用户沟通 SaaS 效率工具
用户评论摘要:用户反馈普遍认同“开发工作因分享繁琐而未能触达用户”的核心痛点。创始人分享了产品源于自身开发节奏加快后,整理发布说明耗时剧增的经历。有用户询问其灵感的具体触发时刻,但未提出具体功能建议或批评。
AI 锐评

Updated.dev瞄准了一个精准且真实的缝隙市场:在“持续交付”与“持续沟通”之间日益扩大的断层。其价值不在于技术上的颠覆,而在于流程上的“缝合”。它将发布说明从一项需要灵感、文笔和额外时间的“创作”,降维为一项基于结构化数据的“编辑”工作,这本质上是将软件开发的工程化思维延伸至用户沟通领域。

产品逻辑清晰:以Git提交记录这一单一事实来源为起点,通过AI进行初步的语义归纳和格式化,输出可供快速审阅的草稿,最终一键发布至应用内组件和公共页面。这个闭环巧妙地规避了从零开始的写作恐惧,并保证了更新发布的即时性。其宣称的“无缝应用内组件”是真正的价值放大器,它让更新通知从被动的、需要用户主动寻找的邮件或博客,变为主动的、上下文相关的应用内提示,极大提升了用户感知产品迭代的几率。

然而,其深层挑战也显而易见。首先,其效果严重依赖团队Git提交信息的质量。如果提交信息本身是“修复了一个bug”这类无意义的记录,AI也难以生成对用户有价值的说明。这实则是将维护规范提交信息的成本,转移到了后续环节。其次,产品目前定位更偏向“发布”的效率工具,而非“沟通策略”工具。如何界定哪些提交值得告知用户、如何用非技术语言描述技术改动、如何规划更新的节奏与叙事,这些更高维的决策仍需团队自己完成。工具解决了“怎么写”和“怎么发”的效率问题,但未解决“为什么写”和“写什么”的战略问题。

总体而言,Updated.dev是一款优秀的“执行层”工具,能有效降低高质量用户沟通的边际成本。但它能否成功,不仅取决于其本身的易用性,更取决于它能否引导或融入团队建立更规范的开发与沟通纪律。它是一把锋利的剪刀,但布料仍需用户自己提供。

查看原始信息
Updated.dev
Updated.dev turns your Git commits into clean, ready-to-publish release notes in seconds. Connect your repo, pick what matters, and let AI handle the drafting. Published updates appear instantly in the in-app widget and on the public page.

Hey Product Hunt 👋

We’re excited to finally launch Updated.dev today.

I'm Hyun, co-founder of Updated.dev. Over the years, I have worked closely with multiple product teams and also built several products myself.

What I kept noticing was this: product teams are moving faster than ever, but a huge part of that work never reaches users. Not because it is unimportant, but because sharing updates is tedious and hard to maintain alongside constant shipping.

Still, sharing updates really matters. Teams that shared updates consistently saw higher engagement, stronger trust, and more returning users. So we set out to remove the friction from writing and publishing release notes entirely.


How it works is simple:

  1. Select – Choose the logs you want to turn into a release note

  2. Review – Check and edit the auto-generated draft

  3. Publish – Release notes go live instantly in the in-app widget and public page

No extra steps. No lag between shipping and sharing.


What makes Updated.dev different:

  • Commit based release notes
    Connect your GitHub repo and your commits are automatically grouped into clean, readable logs. You can simply select the logs you want to include, and generate a publish-ready release note draft in seconds.

  • Seamless in app widget
    Once published, release notes appear seamlessly inside your app through a widget, so users discover changes without context switching. Public pages and email notifications are included as well.

  • Clean, modern design
    A clean in-app widget and a modern release note page help your updates feel more trustworthy and professional.


If you are shipping every week and still posting release notes manually, Updated.dev will save you hours.

Give it a try and share your thoughts. I would truly appreciate any honest feedback or suggestions. 🙌

5
回复
Hey Hyun, congrats on the launch! That observation about work never reaching users not because it’s unimportant but because sharing it is tedious really resonates. Was there a specific moment where that hit you hard?
3
回复

@vouchy  Thanks for the question.

For me, the pain showed up as my development pace increased.
More changes meant more things to share, but the updates themselves started to feel messy and scattered.

Every time I sat down to write a release note, I found myself digging through past work and trying to turn raw commits into something readable. It took way more energy than it should have.

Updated came directly out of that realization. Hope it brings some relief to your process too.

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回复

Huge congrats on the launch, Hyun! 🎉

As someone who ships fast and often, I feel the pain you’re trying to solve. Most teams want to communicate consistently, but the overhead of turning commits into something user-friendly kills the habit.

I don't have a personal use case for it myself at the moment, but I just wanted to come along and show my support 💪

1
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#11
Wellbot
Smart nutrition assistant for healthy choices
106
一句话介绍:一款集成于WhatsApp的智能营养助手,通过在购物时即时扫描食品标签,提供营养评分、过敏警报和健康洞察,解决消费者在选购食品时难以快速理解复杂标签信息的痛点。
Health & Fitness Food & Drink Fitness
健康科技 营养助手 食品标签扫描 过敏预警 WhatsApp应用 AI识别 免费工具 健康饮食 智能购物 生活辅助
用户评论摘要:用户普遍赞赏其便捷性和免费模式,尤其关注过敏支持与多语言能力。主要问题聚焦于:健康评分体系与欧盟标准(如法国Nutri-Score)的关联与差异、未来是否支持比价功能、盈利模式可持续性,以及全球可用性和多语言支持的具体范围。
AI 锐评

Wellbot 2.0的核心价值在于将高频通讯工具(WhatsApp)转化为即时健康决策入口,巧妙地降低了用户使用健康工具的门槛。其“扫描即得”的模式直击购物场景下信息处理的即时性痛点,具有场景洞察力。

然而,产品面临几重深层挑战与质疑。首先,其自立标准的“Health-Score”系统与欧盟等地区权威评分体系的割裂,是一把双刃剑。创始人直言不讳地批评现有标准为“无效”,这虽树立了差异化形象,但也将承担教育用户和建立新信任体系的沉重成本,其科学性和公信力有待长期验证。其次,当前的“完全免费”模式依赖创始团队自掏腰包和启动积分,在用户规模增长与AI调用成本攀升的双重压力下,可持续性存疑。评论中关于盈利的提问一针见血,捐赠模式能否支撑其愿景,是悬而未决的关键问题。

从评论反馈看,其真正的护城河或许意外地集中在“过敏支持”和“多语言”上,尤其是为跨国旅行者提供的解决方案,这构成了其最具体、最刚性的使用场景。相比之下,用户提出的“比价”等扩展功能,虽具吸引力,但受制于零售业数据壁垒(尤其在欧洲),短期内难以实现。

总体而言,Wellbot是一次精巧的场景化创新尝试,但其长期生存能力取决于:能否将其评分系统打造为值得信赖的新标准,以及能否在免费模式下找到健康的商业闭环。否则,它可能仅停留为一个有趣但脆弱的工具型应用。

查看原始信息
Wellbot
Scan food labels on WhatsApp and get instant Nutri-Scores, allergy alerts, and health insights. Wellbot makes smarter grocery shopping effortless.
Hey Product Hunt! 👋 Super excited to relaunch Wellbot today. When I first built Wellbot, the goal was simple: Help people understand food labels instantly. Since then, your feedback helped shape a much better version — and today’s update is a big step forward. ✨ What’s New in Wellbot 2.0 Health-Score system for clearer decisions Smarter AI label reading with higher accuracy Personalized allergy alerts based on your profile Cleaner summaries with clear positives & negatives Faster WhatsApp experience Totally free My goal is to make healthy eating effortless — especially while shopping, when decisions matter most. I’d love your feedback, ideas, or any rough edges you spot. Thanks for checking out Wellbot and supporting this journey! 🙏 — Balint
1
回复

@balint_horvath2 So the Health-Score changes if I update my diet preferences, right?

1
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@balint_horvath2I created a new colleaction on PH for this app :)
Thank you for making it free, I will try it out.

1
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@balint_horvath2 Hi

Your product looks amazing, just gave it an upvote!

If you’re looking for more support, there’s a startup and tech community here where you can connect with companies, product managers, and tech professionals who are happy to help with upvotes, testing, and feedback.

Once you join, feel free to introduce yourself to the group.

Here’s the invite link:

join.slack.com/t/pmteach/shared_invite/zt-3ic26bu6u-pYOtYOvl_Ld6r5aUtuG5Cw
0
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Looks like a great app, I am def trying it out as a nutritionist! In the meantime I am curious if the Health-Score you provide correlates with the EU scores - for example in France where I am now lots of local products have nutri scores on boxes (from A to E I think). Are those somehow connected to the ones you provide? Sorry if this was already answered somewhere else

1
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@yana_shvets  Hey, i'm really curious about your feedback as a nutritionist!

No, we developed this app with some help with nutritionists/ dietitians and we considered that EU nutri scores are not valid. We saw a lot of A-B scores on some really processed foods. Our scoring system analyzes how processed and how nutritionally dense is a product.

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Can it also provide you with alternative (cheaper) foods? I mean, Product A is this, and you can have Product B with the same markers for less money here.

1
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@busmark_w_nika Oooooo The Queen again 🙈

No, now we are folly focused on the allergy support and travellers (multi language support)
Maybe in the future can do something you requested, but in the EU nearly no big supermarket chain offers public API acces to implement this. In the US it's possibile.

Thank you again for the ideas and support 💚

0
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This is such an easy solution to healthy eating, especially since many already use whatsapp daily so it's comfortable to use. And it's free?? I'm curious, since you probably have some kind of costs based on usage of AI model, how do you become profitable or at least stay at the surface with this?
1
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@nair0 Hey, thanks for the kind words!

Yes we cover all the costs now from startup credits and from our pocket, since we make to grow our user base, and want to help people with food allergyes. Donations are availabile, and we appreciate them!

0
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Having a son who is allergic to most nuts and dairy, not to mention airborne skin allergies, this would make my life a tonne easier. Especially when going abroad, luckily the UK is pretty good with highlighting allergies in bold, so they're easier to spot, but when on holiday it's a real stress. If this covers many languages, this is a real win.

0
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Wow, Wellbot is genius! I love the WhatsApp integration for quick label checks. Does it currently support ingredients lists in multiple languages, or is it primarily focused on English?

0
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@jaydev13 Hank you!

After you recieved the wellcome message, you can set your language tonearly everything. After you can add ingredients in your selected language.

0
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Does it works for products globally or specific geo location?

0
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@himani_sah1 It's work in nearly all languages, so no specific geolocation. (a few countryes are blocked for security reasons for now, but we are working on it)

0
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#12
Expensent
Automatically forwards invoices to your accountant
105
一句话介绍:Expensent是一款自动将用户邮箱中的发票和账单转发给会计师的工具,解决了自由职业者和小企业主在报税季手动整理海量电子发票耗时易错、导致税务抵扣遗漏的痛点。
Email Freelance Accounting
自动化财务 发票管理 税务抵扣 邮件过滤 SaaS工具集成 小微企业工具 效率提升 文档扫描 订阅制服务
用户评论摘要:用户普遍认为产品“有用”、“节省时间”,能解决实际痛点。主要问题集中在:是否支持所有主流邮箱客户端(已确认支持),以及算法能否智能学习新发件人模式(回复称能处理已知及自定义发件人,并可适应发件人模式的轻微变化)。
AI 锐评

Expensent瞄准了一个微小但真实存在的市场缝隙:介于个人财务管理软件和专业会计软件之间的“发票传递”真空地带。它的核心价值并非技术创新,而是对“懒惰”这一人性弱点的精准商业化和对现有工作流的“胶水式”修补。

产品聪明地避开了复杂的会计逻辑,只做一件事——邮件搬运。这降低了使用门槛,也明确了责任边界:它只负责传输,不负责核算。这种定位使其能轻装上阵,快速集成各种SaaS服务,并通过“扫描历史邮件”功能提供即时价值,解决了用户的“历史债务”焦虑。

然而,其长期价值面临三重拷问:首先是护城河问题,其基于规则和预设发件人的过滤逻辑容易被模仿,甚至被邮箱客户端的原生规则功能部分替代。其次是扩展性问题,当前“发票转发”的单点功能天花板明显,若要增长,势必侵入会计软件或报销管理领域,将面对更强大的竞争对手。最后是数据安全与信任门槛,用户是否愿意将连接邮箱(包含大量隐私和商业信息)的权限交给一个初创工具,并相信其不会误判或泄露,这需要极强的品牌建设和安全背书。

本质上,Expensent是“自动化”趋势下的一个精致产物。它能否从“有用的小工具”成长为“不可或缺的财务管道”,取决于其能否在精准传递之外,挖掘出数据的附加价值(如基础分析、费用分类),并构建起以会计师为核心的B2B2C网络生态。否则,它可能永远只是一个优雅的“临时解决方案”。

查看原始信息
Expensent
Invoices arrive in your email and get buried. Expensent automatically forwards them to your accountant — no manual forwarding again. Any sender is handled: GCP, Vercel, Figma, other SaaS tools, or your custom ones. New and past invoices are forwarded, saving time and preventing lost deductions.

TLDR;

It sends your email invoices (expenses) to your accountant. You configure it once, it runs on autopilot. On mobile you can also scan paper invoices (camera) and send them in an instant.

Hey everyone 👋

Every month (or year) it’s the same headache:

digging through my inbox to find invoices to send to my accountant.

I usually skip it, then forget it, and lose money on taxes.

Last year, my accountant gave me a special email to forward expenses — I didn’t send a single one. Even one manual forward felt too annoying (probably ADHD and lazy 🫠).

So I built Expensent.

It auto-forwards invoices from your inbox to your accountant, so you never touch them again.

How it works:

1. Connect your email

2. Add your accountant’s address

3. Choose your invoice senders (GCP, Vercel, Figma, etc.)

It’ll handle all new invoices automatically and you can also catch up on past ones in bulk.

If you have restaurant or gas station receipts, just use the camera directly from the webapp or upload a file...

Sent, Done.

Fair pricing:

Solo: $5/mo (1 email account)

Pro: $15/mo (5 emails accounts)

🎁 In December use code "PH-LAUNCH" at checkout and the Solo plan is just $2 for 3months.

I hope this saves you time, gives you some peace of mind and puts a bit of that lost money back in your pocket.

Happy to receive feedback and answer any questions!

3
回复

OMG, Expensent is genius! Finally, no more digging for invoices. Does it learn the sender patterns over time to improve accuracy for new SaaS tools I add?

1
回复

Hi @jaydev13 and thank you for your good energy,

Yes, in addition to the list of senders that we maintain (or to the custom senders that you add), Expensent will know if a sender changes pattern slightly. Once you selected the senders you want to auto-forward the invoices to your accountant, Expensent will forward all future invoice emails that match. You can also scan for past invoices manually in order to catch up on this current year.

Let me know if you have more questions,

Thank you 😊

0
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really useful - this will save a lot of headache and money

1
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Hi @gbonsel and thank for the visit,

Yes personally I've been skipping sending expenses to my accountant for years, because they are too small amounts, too many and too repetitive.

At the end of the year I could probably deduct 2~3K easily.
Also i didn't mentioned it enough maybe, but there is a camera document scan function if you use it on from phone browser, for sending paper receipts.

I hope users find it useful.
✌️

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Nice project @ilios ! It will definitely help me

1
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Works across gmail, outlook and other email clients?

0
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Hi @nuseir_yassin1 ,

Yes it works with all major email providers and IMAP too (just in case).

IMAP is by nature a bit slower than email providers.

But Gmail scans finishes in less than 5-10sec.

You can choose from a list of vendors presets (the companies that send you invoices) or add your custom senders or modify the current vendors.
Once you have a list of vendors, Expensent knows which email need to forward, and all new emails detected are handled. If you need to catch up invoices from the past you can run a manual scan (~10sec on gmail).

If you need anything i'm here :)

Thanks again

0
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#13
FixBot by iFixit
Diagnose problems from pics & receive voice guidance to fix
101
一句话介绍:一款通过拍摄照片即可AI视觉诊断问题,并提供免提语音指导的维修助手,解决了用户在维修过程中双手被占用时无法查阅图文指南的核心痛点。
Android Hardware Artificial Intelligence
硬件维修 AI视觉诊断 语音交互 多模态AI 自助维修 教程库 免提指导 ifixit生态 工具类应用
用户评论摘要:用户普遍肯定其免提指导和AI视觉诊断的革新性。主要关注点在于AI对老旧或严重损坏设备识别的准确性,官方回复称其支持超7.5万台设备,并以修复任天堂Switch摇杆漂移为例佐证。
AI 锐评

FixBot并非简单的指南数字化,而是对维修体验的一次场景重构。其真正价值在于将“查阅”这一动作从维修流程中剥离,通过“视觉输入+语音输出”的多模态闭环,让用户的注意力与双手完全聚焦于维修操作本身,实现了从“边看边做”到“只做不听”的质变。这精准击中了专业维修者乃至普通DIY用户“手脏、手忙、手不得闲”的深层需求。

然而,其光鲜的AI外壳下,潜藏着所有知识驱动型AI产品共有的命门:诊断的准确性与知识的边界。评论中对老旧设备识别准确性的质疑,直指其模型训练数据的完备性与泛化能力。iFixit庞大的维修库是其护城河,但如何将非结构化的图文知识高效转化为可推理的视觉-语言模型,并覆盖长尾、非标的损坏情况,是技术上的持续挑战。此外,产品与开源社区的关系及数据使用伦理的争议,也暗示着在利用社区智慧喂养AI与回馈社区之间,需要更精巧的平衡艺术。

本质上,FixBot是一次成功的产品化“转译”,它将前沿的多模态AI技术“转译”为一个极具场景感的实用工具。但其长期成功不取决于AI的炫技,而取决于维修知识库的深度、诊断的可靠性,以及能否在提升商业效率的同时,维系其赖以起家的社区精神。它证明了AI在垂直领域的实用化潜力,但通往“万物皆可修”的愿景,道路仍崎岖。

查看原始信息
FixBot by iFixit
Get hands-free guidance, visual analysis, and instant access to the world's repair knowledge.

Hi everyone!

The capability leap in multimodal models opens up so much imagination for vision and thinking use cases. FixBot, by iFixit, is a classic example of this.

It uses AI to visually diagnose problems from photos and provides hands-free voice guidance grounded in their massive library of repair guides. So it can solve the real problem of needing answers when your hands are full of tools.

iFixit put it best:

Your stuff belongs to you. You should be able to fix it. And now you can.

I cannot think of a better ending than that.

P.S. Interestingly, I noticed some controversy regarding the relationship between the product and the community, plus the classic issue of data and AI. We have seen similar debates from tech giants to startups over the last three years. In a time of such rapid foundational change, this discussion will continue and friction will persist, but the trend is unstoppable. The challenge for all makers has always been, and will always be, the art of balance.

0
回复

@zaczuo Congrats on the launch! such a thoughtful direction for multimodal repair guidance.

0
回复

Wow, I Fix It looks incredible! The hands-free guidance is a total game changer. How accurate is the visual analysis on really old or damaged devices?

0
回复

@jaydev13 We support over 75,000 devices. Many of those are very old! Here's an example for fixing stick drift on a Nintendo Switch. https://fixbot.ifixit.com/chat/0cb7d066-6215-47f9-80f2-81b54222d164

1
回复
#14
The Almanac
Look up people and how they connect
98
一句话介绍:一款AI驱动的个人传记引擎,在会面或社交前快速研究他人时,解决LinkedIn信息单薄、网络搜索耗时且易混淆同名者的痛点,10秒内生成深度、可溯源的公共人物档案。
Social Media Artificial Intelligence LinkedIn
人物情报 AI摘要 社交背调 关系图谱 个人品牌 公开信息聚合 智能名片 人脉发现 身份消歧 知识图谱
用户评论摘要:用户肯定产品创意与界面,核心反馈集中在:1.质疑公开信息的实用性与可靠性,认为深度人脉比公开资料更重要;2.强烈期待关联LinkedIn并认领、编辑个人页面的功能;3.询问除生成档案外的其他价值。团队确认认领/编辑功能正在开发。
AI 锐评

The Almanac 瞄准的是“社交前情报准备”这一真实但微妙的场景。它试图用AI缝合公开信息的碎片,其宣称的“身份消歧”和“深度挖掘”是技术上的正确方向,但恰恰也暴露了其核心矛盾:**它处理的是最公开的数据,却试图解答最需要私下洞察的问题**。

评论区的质疑一针见血:真正的高价值社交,依赖的是非公开的“暗知识”——个人口碑、圈内评价、真实性情。这些是AI无法从博客和播客中抓取的。产品目前的价值,更可能落在对“中低频、弱连接”关系的快速背景构建上,比如媒体采访、投资初步筛选、会议演讲者了解,为使用者提供一个比维基百科更个人化、比领英更生动的“第一印象”说明书。

其真正的护城河并非信息广度,而是“可信度”。团队强调的“每项声明皆有引用”是关键,这使其区别于幻觉频出的通用AI,构建了作为“事实核查工具”的初步信任。然而,这又引向另一个风险:当个人要求编辑或删除信息时,如何在“客观聚合”与“个人隐私/形象管理”间取得平衡?即将推出的“认领页面”功能将是第一个试金石。

长远看,它可能演变为一个“个人公共信息中心”,成为用户主动管理的、比领英更丰富的动态名片。但前提是,它必须从“他者审视的工具”,转变为“自我展示的平台”,吸引用户主动维护。否则,它可能永远停留在“高级版百度百科”的层面,有用,但难以触及社交的核心。

查看原始信息
The Almanac
Almanac lets you type any name and instantly see a professional, public-facing profile for that person. Search yourself or anyone else, if the profile does not exist yet, you can generate it in <10s. We crawl the public web, reconcile sources, and writes a detailed, neutral biography with a profile card, timeline, and key highlights. The related-people section links connections to other people so you can quickly see how everyone is connected. Share your Almanac page as your go-to bio link.
Hi Product Hunt! We've all been there: You have a meeting with someone important, so you look them up. LinkedIn gives you their resume, but it doesn't tell you who they are. You try ChatGPT, but it confuses them with a soccer player of the same name. That's why we built Almanac. Almanac is an AI biography engine designed for depth, accuracy, and connection. Why is this different? 1. It knows who's who: We built a disambiguation engine that separates the 'John Smith' who codes in Python from the 'John Smith' who sells real estate. 2. It is genuinely deep: We don't just summarize their About section. Almanac reads their blog posts, podcast appearances, and the connection they have to your co-founder. 3. Citations for everything: Every claim links back to the source. I'd love for you to search for yourself or your next meeting and tell me what you thought of it! - Rohan
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@rohans0509 Hi

Your product looks amazing, just gave it an upvote!

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Wow, this looks like a solid tool for aggregating public info on people you want to connect with.

But speaking as a user, I’m a bit skeptical about the actual utility. If I’m at the level where I can actually land a meeting with a VIP, I would never rely solely on public records—they're just too unreliable.

Instead, I’d always try to find a mutual contact to get the inside scoop first, and then do my research based on those specific insights.

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@liusally4 that’s an interesting point, could you tell me a bit more about why public sources might be unreliable? Is it that public sources don’t have enough information?
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Great work and a real usage of ia.

I would suggest to be able to connect with linkedin to claim the page and be able to edit it.

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Hey Valentin, thank you so much. We’re working on this exact feature and will be launching it soon :)
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What is the benefit of this product? (or kind of help that offers)
I understood that adding a LinkedIn profile URL would create an article (which would mean some visibility). But are there any other hidden gems?

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@busmark_w_nika thanks for the comment! The article we generate has much much more information than a linkedin profile - on an average our articles have about 10-30 sources including the linkedin profile. So you can get a much better idea of the person in a glance. So instead of looking people up on google and manually parsing through sources on your own you can just directly read their almanac profile
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Wow, The Almanac is seriously cool! I love the way it visualizes connections. Im curious, could it be used to map out relationships within open-source project communities too?

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The idea is strong and the interface is clean. One thing I wonder is how you see this evolving for people who want more control over their public page. Will there be ways to claim or edit a profile? Excited to follow the updates.

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Yes there will be, you will be able to connect your linkedin and suggest edits for your article. We’re working on it and will be releasing it soon :)
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#15
Runathon AI
AI Coach That Builds and Adapts Your Running Plan
97
一句话介绍:一款利用AI构建并动态调整跑步计划的智能教练应用,为跑者解决了传统训练计划僵化、无法根据个人实际状态与表现进行适配的核心痛点。
Health & Fitness Running Community
AI健身教练 个性化跑步计划 自适应训练 跑步训练应用 运动科技 健康管理 数据驱动 移动应用 智能体育 实时指导
用户评论摘要:用户普遍认可产品理念与简洁设计,认为其解决了传统计划僵化的问题。主要反馈集中在:希望明确伤病等意外情况的应对逻辑;建议简化AI报告并增强数据可读性;询问与Garmin等平台的数据同步及计划手动调整功能;探讨其与Strava的竞合关系。
AI 锐评

Runathon AI切入了一个看似拥挤但实则存在巨大优化空间的赛道:大众跑步训练。其宣称的价值并非简单的计划生成,而在于“动态适应”——这直击了传统训练应用“计划与执行脱节”的命门。从创始人自述的创作动机来看,产品试图将“教练”的决策逻辑算法化,根据每次跑步的实际表现反馈调整后续计划,这比静态的“Couch to 5K”模式或依赖用户手动调整的计划更具前瞻性。

然而,其面临的挑战与机遇同样尖锐。首先,“自适应”算法的科学性与透明度是信任基石。评论中关于“伤病如何适配”的提问,恰恰点出了AI教练在复杂现实情境(如身体异常信号)下的决策瓶颈。这不仅是功能问题,更是责任与安全边界问题。其次,其定位在“教练”而非“记录”,试图与Strava等巨头进行差异化竞争,策略清晰。但创始人关于UI风格“故意接近Strava”以营造熟悉感的解释,是一把双刃剑,虽可能降低用户迁移成本,却也削弱了品牌独特性,并可能引发“模仿者”而非“颠覆者”的认知。

从评论反馈看,用户的核心需求已从“有无AI”升级为“AI是否真正智能与开放”。他们关心数据互通(Garmin、Apple Watch)、计划的手动微调权限,以及报告的可解释性。这揭示了一个深层趋势:用户希望AI是辅助决策的“副驾”,而非完全掌控的“自动驾驶”。产品下一阶段的胜负手,或许在于能否在保持自动适配核心优势的同时,赋予用户更灵活的干预接口,并建立更透明、可信的调整逻辑说明,从而在“算法权威”与“用户自主性”之间找到最佳平衡点。

查看原始信息
Runathon AI
Smart training plans, real-time guidance, and personalised insights to help you reach your running goals faster and safer than ever before.

This is such a smart use of AI for fitness. Real time coaching, adaptive plans, and weekly insights all in one place make the running journey feel much easier. The design looks polished and friendly too. Congrats on the launch and wishing you great traction.

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@ngocphuc_1910 Hi Phuc, thank you for your kind wishes!

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Hi everyone! 👋 I’m the creator of Runathon AI, and I'm really excited to share it with you today. I built this because I always struggled with training plans that never adjusted to how I was actually feeling or performing. If I had a great run, the plan stayed the same. If I had a slow or tough day, the plan still stayed the same or. It never felt like a real coach who adapts to you. So I created an AI running coach that builds a personalised plan based on your goal, and then automatically updates your upcoming runs based on your real performance. The idea is to make training feel more responsive, supportive, and realistic especially for everyday runners who want guidance without rigid or complicated programs. Some things I’d love feedback on: Do the training suggestions feel helpful and logical? Is the plan adaptation clear? Anything confusing, missing, or frustrating? What features would make this feel even more like a true running coach? I’m offering 1 free month of full access for Product Hunt users — your feedback will help shape the next version. Thanks so much for checking it out, and I’d love to hear your thoughts, ideas, or critiques! 🙏🏽🏃‍♂️💬
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@kursat_keskin1 Congrats on the launch! Love the idea of a running plan that finally adapts to how you actually feel and perform.

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Wow, Runathon AI looks amazing! The real-time guidance is super cool. How does it adapt to unexpected things like a sudden injury or illness?

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Hey Kǔrşat,

Congrats on the launch!

I like the simplicity throughout the app, for example in the workout prescriptions and how you show progress ("5 of 24 workouts completed"). A lot of competitors miss the mark on this by making things too complex, especially for the typical "couch to 5k runner". I feel like you could stretch the simplicity also to the AI Run Report by making it a bit easier to digest.

With which platforms do you integrate to pull activity data, or is this only recorded in the app? Do you also push workouts to for example Garmin or Apple watches? And do you allow "shuffling" the workouts when users don't like what is planned?

Finally, although I like the styling, the orange theme feels a bit too close to Strava's (especially since you'll be competing with them/Runna).

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@aartgoossens Hey Aart, thank you for your comment! Since the app is currently available only on the App Store (Google Play is coming soon), users can connect their Apple Watch. They can import runs directly from the watch or use the app’s built-in running feature. Afterwards, they can still merge data to include heart rate, cadence, and elevation gain from their watch. I’ll also be integrating Garmin in the next update.

The system already allows users to delete a training plan and generate a new one if they don’t like the plan or if their goal changes. In upcoming updates, I’ll be adding training plan customisation and even better, the ability to talk with the AI to adjust only the parts you’re not satisfied with.

I agree with you about the styling, but it was intentional. Since competing with Strava is already challenging and people are very loyal to existing brands, I wanted Runathon AI to give users a similar if not better overall vibe.

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Does this compete with Strava? Or is it a complementary product?

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@busmark_w_nika Hi Nika,
Strava is amazing for tracking and social features, no doubt about that.
But yes, my long-term goal is to compete with Strava in a specific way.

Where Strava focuses mainly on recording your run, I’m building a platform that focuses on improving your running.

Runathon AI generates a training plan based on your goal and then updates all upcoming workouts automatically based on your actual performance. It’s built to feel more like having a real coach, not just a logbook.

So while people can absolutely use both together today, the vision is to become a full coaching + tracking alternative for runners who want something more adaptive and personalised than traditional tracking apps.

That’s the direction I’m building toward.

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#16
Korey Coding Agent Handoffs
Send your bugs and ideas to your favorite coding agents
93
一句话介绍:Korey是一款AI智能体,通过自动化从想法到实现的中间步骤,在软件产品开发流程中,解决工程师在任务拆解、上下文搬运和跨工具协调上耗时过多的痛点。
Task Management Developer Tools Artificial Intelligence
AI编程助手 工作流自动化 智能体协作 任务管理 开发运维 代码生成 产品工程 生产力工具
用户评论摘要:用户反馈积极,认为该功能是“游戏规则改变者”。主要问题集中在多AI编码智能体任务分配时的冲突处理逻辑。官方回复当前支持手动指定或设置默认智能体,未来计划通过规则引擎实现更智能的路由。
AI 锐评

Korey的“Coding Agent Handoff”本质上是在争夺AI原生时代的“产品工程中枢”席位。其真正价值并非仅仅是串联了想法、任务管理与AI编码智能体,而在于试图定义和标准化“AI协同时代”的软件生产工作流。

产品将“生成任务规格”和“分配执行智能体”这两个关键环节自动化,瞄准了当前AI开发工具繁荣背后的新痛点:工具碎片化与上下文割裂。工程师在Cursor、Devin等工具间手动切换和搬运需求的成本,正在抵消AI带来的效率提升。Korey试图成为智能体世界的“调度中心”,这是一个颇具前瞻性的定位。

然而,其面临的挑战同样尖锐。首先,工作流的“黑箱化”风险。当AI负责从需求解读到任务拆解的全链条时,如何确保其对复杂、模糊需求的把握精准度?错误的拆解可能导致后续智能体全盘跑偏。其次,当前解决方案对多智能体协作的逻辑仍显初级,仅靠简单路由规则难以应对真实开发中前后端交织、依赖复杂的场景。最后,其价值高度依赖上下游生态的开放性与稳定性,在AI智能体市场格局未定的当下,存在一定的集成风险。

总体而言,Korey从工作流自动化切入,思路正确且痛点抓得准。但它能否成功,取决于其能否从简单的“管道工”进化成具备一定项目理解与协调能力的“智能项目经理”,这对其自身AI能力的深度提出了更高要求,而不仅仅是做连接。

查看原始信息
Korey Coding Agent Handoffs
Korey is an AI agent that accelerates product engineering workflows by automating the steps between idea and implementation. The new Coding Agent Handoff workflow turns ideas into specs, generates tasks, and hands them directly to coding agents like Cursor, Devin, and Jules to produce PRs. Connected to tools like GitHub Issues and Shortcut, Korey keeps work moving automatically so engineers spend less time organizing and more time shipping.

Hi Product Hunt!

We're the team behind Shortcut. We've spent years watching product engineering teams lose hours to the work about work: turning ideas into specs, breaking specs into tasks, copy-pasting context into coding tools.

So we built Korey to handle it.

Today we're launching Coding Agent Handoff. Korey connects to your project management tools (GitHub Issues, Shortcut, more soon) and your coding agents (Cursor, Devin, Jules). You go from a screenshot or conversation to a task to a PR without the back-and-forth.

How it works:

  • Drop in an idea, screenshot, or bug report and get back a spec

  • Korey breaks it into dev-ready tasks

  • Hand them off directly to your coding agents

  • Track the session and PRs from inside Korey

500+ companies are already using Korey. Try it for free now at https://korey.ai

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Wow, Korey looks amazing! The Coding Agent Handoff is a game changer. How does it handle potential conflicts when handing off tasks to different coding agents like Cursor and Devin?

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@jaydev13 Thanks! Right now you tell it which agent you want to hand off to (or you tell Korey to remember to always hand off to a certain agent by default.)

In the future we're planning to build out recipes support so that things like "if front-end bug -> go to Cursor" and "if all Devin sessions are exhausted -> go to Claude Code" are possible.

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We've been using Shortcut (and now Korey) for a long time now and appreciate the constant path of improvement, we have several users in the org who are big Korey fans :) it enabled more people to be proactive in product discussions and specs. Great job.

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@itamarro Thanks for the support! We love hearing that your team's using Shortcut and Korey together :)

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#17
HoverConvert
Instant Hover Unit Converter
92
一句话介绍:一款Chrome浏览器扩展,通过悬停即时检测并转换网页上的各类单位,解决了用户在浏览网页时需中断操作、手动复制粘贴到计算器进行单位换算的效率痛点。
Chrome Extensions User Experience Developer Tools
浏览器扩展 单位转换 效率工具 悬停操作 即时工具 生产力 网页辅助 开发者工具
用户评论摘要:用户反馈积极,认为产品体验“轻松”。主要建议集中在功能扩展上:一是希望增加更多单位类型;二是询问对科学计数法的支持(开发者已确认将加入后续更新)。另有用户主动寻求改进设置的建议。
AI 锐评

HoverConvert 的本质,是将一个高频但碎片化的“微操作”从“主动调用”变为“被动响应”,其真正价值在于对用户“心流”状态的保护。它没有创造新的生产力,而是通过近乎零成本的交互(悬停),消灭了单位转换这个动作本身所带来的上下文切换成本——从复制、打开新标签页、搜索、粘贴、查看结果到返回原页面的一系列中断。

然而,其“犀利”之处也潜藏着发展的天花板。首先,其核心技术“单位自动识别”在复杂文本环境(如混合格式、非标准缩写、科学文献)下的准确率将是体验的生命线,一次误识别就可能导致用户信任崩塌。其次,作为轻量级工具,其功能深度与用户定制化需求之间存在天然矛盾。评论中用户对“更多单位”和“设置”的询问,已隐约触及此边界。工具若一味堆砌单位种类,会变得臃肿;若保持极简,又可能无法满足专业场景。

它的成功,不在于替代专业的换算网站,而在于用极致的“懒人逻辑”占据了浏览器内即时换算的生态位。其未来挑战在于:如何在保持“无感”体验的前提下,通过智能识别算法升级和有限但精准的可配置性,从“好用的小工具”进化为“可靠的基础设施”。当前版本是一个优雅的起点,但下一阶段,它必须在“精准”与“全能”之间做出明智的权衡。

查看原始信息
HoverConvert
Chrome Extension that convert units instantly by simply hovering over them. Temperature, metrics, imperial, and more. Fast, clean, effortless. Stop copying values into conversion calculators. HoverConvert automatically detects units on any webpage and shows conversions in a clean tooltip the moment you hover over them.

Thanks for checking out HoverConvert!
I built this because I kept wasting time converting measurements while cooking or doing quick calculations online. HoverConvert works anywhere on the web, just hover to convert units instantly.

If you try it out, I’d love feedback on two things:

  1. Which units should be added next?

  2. Is there any additional settings I can add to make it better to use?

Appreciate everyone giving it a spin

1
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Whoa, HoverConvert is awesome! I love the effortless unit detection. Does it handle scientific notation well, especially in research papers? Im already hooked!

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@jaydev13 Not yet but that's actually a great suggestion! ill add it to the next update!

0
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#18
Agentfield
Build & scale AI \ agents as microservices with IAM
88
一句话介绍:为AI智能体提供生产级开源控制平面,通过Kubernetes式的编排与零信任身份层,解决开发者在规模化部署和管理自主软件时的安全、调试与扩展难题。
Open Source Developer Tools Artificial Intelligence GitHub
AI智能体平台 微服务架构 开源基础设施 零信任安全 身份与访问管理 可观测性 生产就绪 自主软件 编排框架 分布式系统
用户评论摘要:用户主要关注产品的实际应用能力,核心问题集中在两点:一是从单个智能体平滑扩展到数百个时是否需要重构;二是在多智能体交互中,如何通过策略(而非自定义代码)强制执行信任边界与访问控制。
AI 锐评

Agentfield的亮相,直指当前AI应用开发从“玩具”迈向“生产工具”过程中的核心断层。它聪明地避开了已显臃肿的“框架”之争,转而将自己定位为“基础设施”,这一定位是其最大价值所在。它试图回答一个关键问题:当开发者厌倦了复杂抽象,选择直接调用API编写智能体后,随之而来的运维、安全与规模化挑战该如何系统性地解决?

产品将Kubernetes的编排理念与零信任安全架构融合,本质上是为离散的、API驱动的智能体脚本提供了一套工业化的运行时环境。其真正锋芒在于“管控”而非“创造”。它不关心智能体的内部逻辑,而是通过密码学身份、授权策略和可验证审计追踪,在智能体外部构建了一个可信的执行网格。这恰好击中了早期采用者(如评论中“直接调用OpenAI API”的开发者)在尝试规模化时必然遭遇的痛点:混乱的权限、脆弱的交互、深夜的调试噩梦。

然而,其挑战也同样明显。首先,市场教育成本高,需要说服崇尚“简单直接”的开发者接受一套新基础设施的复杂度。其次,在智能体范式本身快速演进的当下,定义一套稳定、普适的“执行与身份模型”需要极高的架构前瞻性。最后,作为开源项目,其成功将极度依赖生态的构建——能否围绕其“控制平面”形成丰富的工具链与最佳实践。

总体而言,Agentfield是一次极具针对性的供给侧改革。它并非又一个LLM包装器,而是试图成为智能体时代的“Spring Cloud”或“服务网格”,其价值能否兑现,取决于能否吸引到那些真正面临生产痛点的团队,并共同完成从概念验证到关键业务负载的艰难跨越。

查看原始信息
Agentfield
Open-source control plane for production-grade autonomous software. It unifies a Kubernetes-style Agent Execution and Scaling Fabric with an in-built Zero-Trust Identity and Auth Layer. This provides the complete backend system to deploy agents as distributed microservices and enforce trust at every step with cryptographic identity, authorization policies, and verifiable audit trails.

Hey PH! 👋

If you've ever said "I'm just going to call the OpenAI API directly", this is for you.

We get it. You ditched LangChain because you were tired of fighting 5 layers of abstraction to change one thing. You don't need a framework to write f-strings.

Six months ago, we asked ourselves: What would agent infrastructure look like if we designed it from scratch with production in mind?

Not another agent framework. Not another LLM wrapper. Real infrastructure.

When your agents are just Python/TS scripts calling APIs, how do you:
- Know which agent can talk to what?
- Stop one agent from accessing another's data?
- Debug when an agent chain fails at 3am?
- Scale from 1 agent to 10k?

Agentfield gives you the infrastructure without the framework.

Think of it as:
• The scaling fabric for agents as microservices (K8s-style, not DIY)
• The identity layer your agents are missing (cryptographic, not "just trust me")
• The authorization your API calls need (policy enforcement, not guidelines)

We're not telling you HOW to build agents. Build them however you want. We just make them production-ready.

Open-source, Apache 2.0 licensed.

For the "just use the API" crowd: What's your current production setup look like?

Here all day! 🛠

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@santosh_radha Can this scale smoothly from a single agent to hundreds without rewriting everything? Curious.

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@santosh_radha Congrats on the launch! Agentfield looks powerful.

I'm wondering how it handles trust bounderies when multiple agents are interacting with each other. Can policies be enforced for agent-to-agent call without adding custom logic in script?

Anyways, best of luck!

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cool!

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#19
Guess Whale
Guess the prompt and commune with the machines
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一句话介绍:一款通过“猜测AI生成图像的提示词”来反向培养AI思维直觉的休闲游戏,在轻松的游戏场景中,降低了公众理解AI图像生成原理的门槛。
Artificial Intelligence Tech Games
AI素养游戏 提示词猜谜 逆向工程 每日挑战 Wordle-like 休闲益智 AI教育 用户参与 游戏化学习 生成式AI
用户评论摘要:用户普遍认为产品构思巧妙,翻转了传统的AI交互模式,UI精致且具有吸引力。主要反馈集中在:1. 对游戏难度等级平衡性的好奇;2. 希望增加与朋友分享挑战、进行竞赛的社交功能;3. 认可其可能形成像Wordle一样的每日习惯。
AI 锐评

Guess Whale 的聪明之处在于,它用一个精巧的游戏化外壳,包裹了一个严肃的“AI祛魅”内核。在生成式AI被过度神化为“输入咒语,输出奇迹”的当下,它通过“逆向工程”的玩法,强制用户进行一场思维训练:从结果(图像)反推原因(提示词)。这个过程本质上是在引导用户解构AI的“黑箱”,理解风格、物体、构图等元素与文本描述之间的统计关联,而非魔法。

其真正的价值并非在“猜词”游戏本身,而在于它提供了一种零门槛、高粘性的“AI素养”普及方案。它将原本枯燥、技术性的“提示词工程”知识,转化为可感知、可迭代的游戏目标(星星、收集品)和社交货币(每日排行榜)。这比任何教程都更有效。然而,其长期挑战也显而易见:游戏的核心体验高度依赖提示词-图像对的数据集质量和多样性。一旦玩家摸清套路或数据集枯竭,新鲜感和教育意义会迅速衰减。此外,它目前培养的更多是对现有模型(很可能是Midjourney或DALL-E风格)的“直觉”,这是一种对特定AI系统行为的适应,而非对通用AI原理的深刻理解。

未来,若能将玩法从“猜对标准答案”拓展到“探索提示词的边界与创造性组合”,或许能从“AI猜谜游戏”升维为“AI思维训练工具”。目前来看,它是一个极具创意的市场切入点和用户教育入口,但若要维持长期生命力,必须在内容深度和社交维度上快速迭代。

查看原始信息
Guess Whale
Guess Whale flips generative AI on its head: you don’t create the prompt, you guess it! Each round challenges players to reverse-engineer an AI-generated image. Play unlimited free rounds across three difficulty levels, earn stars to unlock collectible whale icons, and compete in a daily Wordle-style challenge where everyone solves the same image each day. A fun, accessible way to build intuition for how AI thinks.

Most AI products focus on creating prompts, but flipping the experience and making people guess the prompt is genuinely clever. The daily challenge and leaderboard create a really fun Wordle style habit loop.

I can see this becoming one of those games people open every morning to train their intuition for how AI thinks. The UI feels very polished and the whale character is really charming.

Congratulations to the team on the launch. Excited to see where you take this.

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@ngocphuc_1910 Appreciate the support Phuc! I don't even know how you found my Founder tiktok, but genuinely delighted from the DM you sent me man, making products is one of me and @elliot_choi 's favorite things to do, so it's great to get feedback from folks like yourself!

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Hey Product Hunt 👋 My team @elliot_choi and @achen_design and I built Guess Whale after realizing that while AI image generation is everywhere, most people still treat it like magic. Prompt engineering felt powerful, but weirdly inaccessible. So instead of asking people to write better prompts, we flipped the problem. What if you had to guess the prompt instead? Guess Whale started as a quick experiment to make AI literacy playful. Along the way, it evolved into a Wordle-style daily challenge, difficulty tiers, and light progression with collectible whales to keep it fun rather than technical. Would love feedback on: • Which difficulty feels most satisfying • How the daily challenge compares to Wordle • What new modes you would want to see next Happy to answer any questions. Thanks for checking it out 🐋
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@elliot_choi  @achen_design  @jorrel_s Congrats on the launch! Curious which difficulty level players tend to find the “aha” moment most satisfying on?

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@elliot_choi  @achen_design  @jorrel_s Any plans for sharing challenges with friends? Could be a fun mini competition

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#20
Nimbalyst Beta
Local, WYSIWYG markdown and mockup editor for Claude Code
87
一句话介绍:Nimbalyst是一款本地WYSIWYG编辑与会话管理工具,通过在统一环境中与Claude Code迭代处理文档、线框图和代码,解决了AI编程助手在跨文档、视觉元素和代码间工作流割裂的痛点。
Design Tools Productivity Developer Tools
AI编程助手工具 本地Markdown编辑器 原型设计工具 图表工具 会话管理 WYSIWYG编辑 Claude Code集成 上下文迭代 生产力工具 Beta软件
用户评论摘要:用户普遍肯定其统一工作流、提升效率的价值,界面设计获赞。主要建议与担忧包括:导航需保持简洁、界面布局需防信息过载、长期会话的稳定性至关重要,以及对未来团队协作功能的期待。
AI 锐评

Nimbalyst Beta的亮相,直指当前AI编程助手生态中的一个关键缝隙:上下文碎片化。工具将Claude Code的交互从离散的代码片段或聊天窗口,锚定到了一个持续、可视、多模态的本地文档环境中。其宣称的“构建完整上下文并迭代”是核心价值主张,这并非简单的功能聚合,而是试图重塑人机协作的“工作平面”。

从评论看,早期用户敏锐地捕捉到了其潜力与风险。效率提升是即时收益,但“稳定性成为一切”和“布局需平衡以防过载”的评论,则点出了此类深度集成工具的阿喀琉斯之踵。当工作流完全依赖于一个持续会话和统一界面时,工具的鲁棒性、性能和信息架构设计就从未如此重要——一次崩溃或混乱的布局,代价可能是整个思维链的中断。创始团队拥有被收购的创业背景,这或许意味着对产品化与稳定性的理解更深,但挑战依然巨大。

本质上,Nimbalyst是在与主流IDE(如Cursor)和笔记工具(如Obsidian)争夺AI原生工作流的“中心节点”位置。它的赌注在于:对于Claude Code的重度用户而言,一个专为“迭代构建上下文”而生的、融合了文档、草稿与代码的沉浸式环境,其增益将远超在多个优化程度不一、彼此割裂的专业工具间切换的成本。然而,其“本地、免费、但不开源”的模式,在吸引早期用户的同时,也可能为未来的生态扩展和信任建立设下隐形门槛。它能否从一款优秀的Claude Code伴侣,进化为一个不可替代的AI协作平台,取决于它如何应对稳定性、复杂场景下的用户体验以及未来的协作架构挑战。

查看原始信息
Nimbalyst Beta
You get the best results with Claude Code when you iterate with it to build full context. Nimbalyst is the local editor and session manager where you iterate with Claude Code on WYSIWYG markdown docs, mockups, diagrams, and code. This is the launch of Nimbalyst's Beta.

Nimbalyst feels like a real breakthrough for anyone who works with Claude Code. The local WYSIWYG editor for markdown, mockups, and diagrams makes the whole workflow feel much smoother and more intentional. The interface looks clean and well thought out and I can see this saving teams a lot of time. Congrats on the launch and wishing you a great day ahead.

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@ngocphuc_1910 Thanks so much! Please reach out any time with feedback and ideas. Also, join our discord for support and discussion https://discord.gg/FgD9S2MCYB

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jumping between code and visual elements without switching tools saves time, though navigation should stay simple.

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@shawn_idrees thanks Shawn. Let me know any enhancements on the navigation or places where it feels complex.

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Hello Product Hunt! We are Karl, Greg, Jordan, and Q, the founders and some of the key team behind Evergage which Salesforce bought in 2020.

Nimbalyst is in Beta, local, free, but not open source. We would love to discuss it here with you and have you try it and give us feedback.

We have been getting the best results with Claude Code when we iterate with it to build full context and then use and update that context as we work. So, we built Nimbalyst to maximize our (and your) ability to iterate and build context:

  • Work with Claude Code to write/edit WYSIWYG markdown. Approve AI changes

  • Integrate mermaid diagrams, text, tables, mockups, images

  • Annotate the mockups, iterate on html mockups with Claude Code,

  • Tie sessions to documents, resume sessions, run in parallel

  • Code with Claude Code

We love this product and are proud of it. We use Nimbalyst to build Nimbalyst, one of us as Product Manager/Marketer/Biz person and the others as developers.

We are excited to show it to the Product Hunt community and, again, we would love your feedback and ideas.

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@karl_wirth Mermaid diagrams inside the tool? That’s awesome, been wanting something like this for a while

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Such an awesome tool! Claude Code is so incredible but using it for document based work is only so-so

  1. With Obsidian, the markdown is nice but the terminal and the docs are disconnected

  2. With IDEs like Cursor, the terminal and docs are connected but editing sucks

Nimbalyst gives the best of both worlds. Huge fan.

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@stealthystork Thanks Carl!

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the focus on long iterative sessions with an AI assistant sounds powerful, but stability becomes everything in that setup.

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@shania_jennings Agreed. We have prioritized making sure Nimbalyst is rock solid from a stability. It doesn't crash, but even if it does, we have database backup and recovery already implemented.

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Having mockups and diagrams in the same space as code feels efficient, but it get it overwhelming if the layout isn’t balanced.

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@new_user___32820255110fbd0979bddd1 Thanks. We'd love your feedback on the UI

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building context in one unified place helps workflow flow better, but I’d love to see how well it handles bigger teams later on.

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@saturnina_brigante Yes. Beta users are asking for this. We have ideas :)

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