Product Hunt 每日热榜 2026-02-05

PH热榜 | 2026-02-05

#1
Supaboard
Ask in plain English. Get accurate answers from your data
473
一句话介绍:Supaboard是一款AI驱动的商业智能平台,允许用户用自然语言提问,从连接的600多个数据源中获取准确、可操作的洞察,解决了非技术人员获取数据洞察门槛高、速度慢且缺乏业务上下文理解的痛点。
Analytics Data & Analytics Data Visualization
AI商业智能 自然语言查询 数据聚合平台 智能体 无代码分析 实时仪表板 数据安全 SaaS 企业级应用 决策支持
用户评论摘要:用户普遍认可其“用自然英语提问”的核心价值及连接多数据源能力。主要问题集中于:具体集成平台、数据安全措施、与通用AI工具差异、是否提供预设模板以及Slack通知等协作功能。团队回复详细,体现了对安全性与实用性的关注。
AI 锐评

Supaboard 2.0宣称的“Agentic, AI-native BI”试图在拥挤的AI数据查询赛道划出新边界。其真正价值不在于“自然语言查询”这一已不新鲜的功能,而在于两点核心主张:一是通过“定制智能体”灌输业务逻辑,追求“100%准确”而不仅是“快速回答”,这直击当前AI数据分析工具“胡言乱语”和脱离业务背景的核心痛点;二是构建“零数据存储”的实时查询架构,将自身定位为安全合规的查询层而非数据仓库,以缓解企业最敏感的数据泄露忧虑。

然而,其挑战同样尖锐。首先,“业务逻辑”的灌输高度依赖客户自身的清晰定义与配置,这过程可能重新引入它试图消除的复杂性和实施周期。其次,连接600+数据源虽广,但数据口径统一、语义层构建等脏活累活是否真能“零配置”解决,仍需大规模企业验证。评论中关于预制模板和培训流程的提问,恰恰暴露了从“可用”到“好用”之间存在巨大鸿沟。

本质上,Supaboard是一场赌注:赌企业愿意为“准确且安全”的AI洞察支付溢价,并相信其智能体能真正理解业务语境。它不再将自己定位为ChatGPT for Data的玩具,而是瞄准了严肃的商业决策场景。成败关键在于其智能体在复杂、模糊业务场景下的实际推理可靠性,以及能否在易用性与控制力之间找到完美平衡。否则,它可能只是另一个需要专业团队维护的“智能”BI前端。

查看原始信息
Supaboard
Ask questions in plain English. Get accurate, actionable answers from all your business data, no SQL, no waiting. Supaboard connects to 600+ data sources and gives your team the power to analyze, decide, and act instantly. Our built-in agents apply your business logic, so the answers you get are not just smart, but right. Fully governed. No data leaks. No technical skills required. Business intelligence, finally for everyone.

👋 Hey Product Hunt! We’re the team behind Supaboard

Over the last year, we spoke to hundreds of data teams and business operators. The same problems kept coming up:

  • Data scattered across tools

  • Weeks of waiting for insights

  • AI tools that give answers without understanding the business

So we rebuilt Supaboard from the ground up.

Supaboard 2.0 is an agentic, AI-native Business Intelligence tool where anyone can ask questions in plain English and get accurate, actionable answers from their data.


It connects to 600+ sources and uses custom agents that follow your business logic, so the insights aren’t just fast, they’re right.

As a thank-you to the PH community, we’re offering an additional 30 days on top of our 14-day trial for all new signups in the next 24 hours

We’d love your feedback:

What’s the hardest part about getting answers from your data today?

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@rishika_sharma9 congrats on the launch. Do you have pre-made templates/prompts for different use cases?

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@rishika_sharma9 congrats on this! Love looking through stuff I already have and figuring it out
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@rishika_sharma9 Love the focus on business context — how do teams usually get started training their first agent?

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Congrats to the team on shipping this!

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@manjunath_m1 Do check out the product and would love to hear your thoughts & feedback on the same.

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Sounds amazing. Context is the most important factor. Can you share what platforms do you connect with?

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@roypovar We connect to 700+ connectors(powered by Fivetran), here's the list: https://supaboard.ai/integrations

Let me know if you need any help exploring the product.

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This looks great, as a PM getting data from different sources is tough
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@superaibek Omg, I can’t relate more. We’ve heard this a lot from our users, and we’ve faced it ourselves, too.

That’s exactly the problem Supaboard is trying to solve: connecting different sources (DBs, spreadsheets, product/marketing tools) into a single source of truth, so anyone can chat with their data in plain English

I’m also curious - what’s the messiest combo you’re dealing with right now (e.g., spreadsheets + SQL + amplitude/mixpanel/CRM)?

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this was missing from my current AI stack 🔥
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@ranjanrishikesh, glad we could fill that gap in your AI stack! We built this product to make data-backed decisions accessible to everyone through plain English

We’d love to hear which feature stands out most to you and how you’re planning to use it to level up your data decisions

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Really solid product. Have used it extensively for my own business analytics decisions and really on-point insights.

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@rohan_singhvi1  Always great to hear such words. To help us continue to evolve, could you share which feature you find most valuable and one area where we could improve?

3
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sounds great! Do we have to integrate it into our tool? Or how does it work?

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@sasha_dikan Loved your question. Here’s how it works in Supaboard:

  1. Connect your data sources → everything stays in one place as a single source of truth

  2. Use our default Agent or train a custom Agent with your business logic

  3. Ask questions in plain English → Supaboard answers and can generate widgets for your dashboard from the same chat

  4. You can also embed those widgets directly into your tool, and they’ll stay updated as your data changes

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What about data and safety? How do you operate with information and its storage?

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Hi @busmark_w_nika , thanks for asking. Here are a few things we do to make sure your data is safe.

  • SOC 2 & HIPAA compliant

  • Zero data storage: We analyze your schema (e.g., table headers) to build context and mapping, then query your DBs/DWs in real-time

  • Read-only access only: You're in full control disconnect anytime

  • Metadata storage: Schema can be stored in USA, Germany (EU), or India (Asia); delete anytime

  • Encrypted credentials: DB credentials & SSH keys use AES-256 encryption

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Congrats on the launch!

The integrations list is solid. Аre there any plans for Slack notifications? It would be huge to get real-time alerts in team channels when a key metric drops.

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@byalexai Yes! Just open the Agent page and click "Connect to Slack" to link your agent to a Slack channel. Then, query your data right from Slack and get instant answers, charts, or tables delivered directly in chat.

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Wow! Sounds solid Could you tell me what's the difference between supaboard and creating such ai knowledge base in manus ai or chat gpt for example?
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Hi @svyat_dvoretski thanks for asking.

We deliver what ChatGPT and Manus can't: guaranteed accuracy from your actual data sources.

We've proven this at scale with enterprise customers querying 150M+ row tables delivering precise answers in under a minute by intelligently navigating massive datasets.

Zero-configuration intelligence. Our infrastructure automatically extracts knowledge from your database or data warehouse connections. No manual schema mapping, no documentation uploads just connect and start querying. Fine-tuning tools are available when you need them, but most customers don't.


Beyond Q&A, a complete BI platform:

  • Real-time dashboards with dynamic filtering and deep customization

  • Scheduled reports (daily, weekly, monthly, quarterly) delivered directly to your inbox

  • All the capabilities of enterprise BI tools with automation that eliminates the busywork

BTW I have been using Snippets AI from sometime, love your product. Would love to collab if possible.

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Congrats team! What have been some exciting customer insights baked into this new launch?

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@thisiskp_ 
Hi KP, thanks for the comment!

We've learned a lot from our last launch, and the biggest takeaway from the community was this:

  • In the data business, you're either right every time or you don't have a product.

  • That's become the core of our product philosophy, and you can actually achieve 100% accuracy by tuning the agent.

  • We've also built features that help users share what they build on Supaboard with their teams, including a Slack bot for faster answers where people actually work.

Beyond that, we've matured significantly as a product @PostHog has been a game changer for us with accurate user data.

On a personal note, thanks for always being there for us and helping us out.

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Great product! Loved the experience.

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@kalpesh_bhalekar1 Thank you for your kind words. It means a lot to our whole team. Do let us know which feature you loved the most, and how we can improve from here.

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this is called gold mate!

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@kshitij_mishra4 Thank you for your kind words. We’d love to hear what your favorite feature is, and any suggestions you have on how we can improve.

Quick tip (in case it’s useful): You can create widgets by simply writing prompts. Use embed to share dashboards with your team, so they stay updated in real time.

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Love the focus on 'context' rather than just raw data queries! The idea of having specialised AI agents that actually understand business logic is a huge time-saver. Congrats on the launch!

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@mssulthan  Thank you so much for the kind words. Yes, we really focused on accuracy in this latest version. You can now create agents that you can train on your domain by feeding them your business logic, and that’s been a game-changer for delivering more accurate insights.

If you get a chance to try the product, I’d love to hear your feedback.

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Congrats on the launch! Supaboard’s agentic BI and 600+ data sources look game-changing.

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@zeiki_yu Loved your comment, thank you for the good wishes. And yes, you’re absolutely right: Agents help businesses get accurate insights, and with Supaboard, you can connect your stack from 600+ data sources to build a single source of truth.

We’d love to hear your feedback on the product. What do you think we should improve?

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Congrats on the launch! How do you address hallucinations and protect users from plausible but incorrect data? Do you use guardrails?

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Hi @maxim_krivobok , thanks for the comment!


Our Agents are fully customizable with:

  • Knowledge: upload your PDFs, docs & company data

  • Rulesets: enforce business rules & guidelines on every reply

  • Evals: auto-score answers & only show high-quality ones

Quick to set up and very effective for on-brand, reliable responses.

Would love if you give it a try and share your thoughts! 🚀

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600+ connectors is table stakes now. Custom agents that encode business logic before generating answers... that's the part most NL-to-SQL tools skip entirely. They give you fast, confident, wrong results because there's no governance layer. Supaboard baking that in by default is the right call.

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Hi @piroune_balachandran, this is exactly what we realized when we launched last time. That's why we rebuilt the product with one target to make really accurate answers possible.

Our guardrails are baked into the core agents so when you set up a rule or a eval our answers will have to pass them in order to be a valid response.

That being said I love to hear your feedback on how this works for you and if there is anything we can do to make Supaboard more valuable for you.

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Big day for the team, this feels like a thoughtful evolution of BI 🥳
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@inderpreet_singh1  Indeed, it is. With progress happening in every other category, it’s high time business intelligence gets the development it has long deserved.

We’ll keep working day and night to make that happen 💪

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This is compelling. BI usually breaks down at the context layer, not the data layer. A trusted business logic layer that agents can reason over could finally make self-serve analytics actually reliable. Curious how Supaboard handles metric governance as teams scale.

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Thrilled to see how Supaboard could handle all those diff data from various sources for AI uses... how does it manage the meta data layer then?

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Hi @cruise_chen , thanks for your comment.

We have built our infra that picks up accurate database context and instructs the AI how to construct the SQL or Python code to get error free and correct data answer.

Would love to hear your feedback, do try Supaboard and let me know if it works for you.

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Congrats team! What do you mean by no waiting? What time is needed still to provide a result?
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Hi @kate_ramakaieva,

Supaboard offers two modes to fit your needs:

  • Concise Mode: Quick answers to "what" questions in 5-30 seconds.

  • Deep Dive Mode: In-depth analysis of your data to uncover the "why" and "how", typically 1-3 minutes.

Hope this clears things up! Give Supaboard a spin and share your feedback, I'd love to hear it.

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Love the focus on actionable insights over charts

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@arun_prasad06 Well, you picked a good one.

Absolutely, we made sure everyone can understand the charts, which is why we built AI directly into them. You can also use the AI chat to generate written insights along with relevant widgets and charts.

Thanks for sharing what you liked. If you have any suggestions on how we can improve the product further, we’d love to hear them.

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Great product! I signed up to test. It's solving an important problem that I often see in small teams: they want analytics and actionable insights but lack the resources to hire a BI engineer or skills to build a solid data stack themselves. I think your platform could be really helpful.

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@alina_petrova3 First of all, thanks a lot for signing up. I love how clearly you described the problem statement. You're absolutely right: small teams often don’t have the budget to hire a BI engineer, and as they grow quickly, they can’t afford delayed insights. Kudos for bringing that up.

Our tool is built to help businesses solve these challenges. Even mid-to-large companies deal with scattered data, delayed insights, and the reality that not everyone has the technical skills to use traditional BI tools. Our goal is to make it easy for every team member to get answers and take action. Almost everyone in your team becomes a data analyst.

Alina, thank you again for taking the time to share this in such detail. Please keep the feedback coming, we’re always looking for ways to improve the product.

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This is how AI should assist humans

Congrats on the launch team! 🚀

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@alexanderfarr  Indeed, you’re 100% correct. When we started working on it, we had the same mission in mind, and I’m really glad it resonated with you.

If you can spare some time, we’d love to hear your feedback on the product and how we can improve. We’d be truly grateful :)

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Hi, congrats on your launch! My questions:
1) How do you ensure there is no hallucination?

2) Is there any specific business type or model you want to serve or you're addressing all types of businesses?

3) In wchich use cases Suporboard will help best? And where can we expect issues when using your tool?

Fingers crossed!

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@mike_wycislik Thank you for taking the time to share this - my team and I really appreciate it.

Let me address your questions one by one:

  1. How do you ensure there is no hallucination?

Every business is different, so we’ve built agents that can be trained. Businesses can provide evals (business logic) and a master ruleset to ensure the AI stays grounded in their data and delivers accurate insights consistently.

  1. Is there a specific business type or model you’re focusing on, or are you serving all businesses?

Right now, we’re primarily focused on SMEs with $10M+ in annual revenue, addressing common challenges like scattered data, delayed insights, and the technical complexity of traditional BI tools.

  1. Which use cases does Supaboard handle best? Where might users face issues?

Supaboard works best for unifying multiple data sources, enabling cross-channel analysis, generating quick insights, and creating charts and tables through prompts that update in real time.

Potential issues typically come up when the underlying data is incomplete, inconsistent, or poorly structured. In those cases, some cleanup or clearer business rules may be needed for the most reliable results.

I hope this helps. You can reach out to me directly at rishika@supaboard.cloud if you need any help

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really nice tool! looking forward to test it out properly

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@respira Glad you like the tool! Please test it out and let us know what you like and how we can improve it further. Your feedback is our most important asset.

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Congrats on the launch, @rishika_sharma9 ! 🙌

Love the idea of just asking questions in plain English and getting actual answers from your data. No SQL, no waiting around, just insights. Really cool stuff, excited to try it out!

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@umar_lateef  Thank you so much for trying it out. I’m glad you liked the idea.

We’ve seen many businesses face this problem firsthand, and each of us on the team has, at some point, struggled with not getting insights on time, getting the wrong insights, or finding BI tools hard to understand. That’s why providing insights in plain english felt like a no-brainer for us.

Thanks again for the appreciation; it means a lot to our whole team.

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Congratulations on the launch 🎉 🎉

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@shubham_pratap  thank you, Shubham. Please let me know which feature is most useful for you, or if you think we can improve something, once you are done exploring the product.

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This is good stuff! When you say the agents follow our business logic, does this mean that the AI learns from the company data that is uploaded or do I have to configure rules/prompts?

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Hi @mustassim, thanks for your comment!

It can be a mix of both. If you have a website, SOPs, or perhaps a launch strategy, simply upload them to Knowledge, our agents will proactively query them when relevant to your question.

Add Rules or Evals (with finetuning), and Supaboard ensures agents always follow them, we won't deliver a response unless they pass.

Think of Knowledge as proactive context and Rules/Evals as reactive safeguards.

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Really like the concept! Would love to see more integrations and templates in future updates
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@ayush_pratap_singh2. Glad you liked it! Yes, absolutely - we’re planning to add even more integrations over time.

Right now, we support 700+ data sources, and we’ll be launching more templates and ready-to-use reports soon( so many exciting features are coming up ) that will help teams make data-driven decisions even faster.

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#2
The new v0
Full stack vibe coding platform. Created by Vercel.
318
一句话介绍:Vercel推出的AI协作编程平台,通过自然语言交互,帮助产品、设计、开发等角色快速将需求、原型转化为可部署的全栈应用,解决从想法到产品交付流程繁琐、团队协作低效的核心痛点。
Productivity Artificial Intelligence Vibe coding
AI代码生成 低代码开发平台 全栈应用开发 团队协作工具 原型即代码 Vercel生态 Web开发 UI组件生成 多框架支持 PRD转PR
用户评论摘要:用户期待新版功能,询问具体更新内容。官方回复核心更新:支持导入现有GitHub/Vercel代码库、支持多框架、可构建全栈应用和智能体。用户关注其目标用户是开发者还是无经验者,官方强调其服务于产品、设计、市场、工程、数据、GTM等多角色。部分用户认为发布信息不够清晰。
AI 锐评

“The new v0”的野心远不止于一个UI代码生成器。Vercel将其重新定位为“全栈氛围编码平台”和“协作式AI助手”,这标志着其战略从辅助开发者个体,升级为切入团队级的产品开发工作流。其真正价值在于试图成为连接“需求-设计-代码-部署”的胶水层,让非工程角色也能在受控环境下直接操作代码资产(如导入仓库、创建分支、发起PR),这直指现代软件开发中跨职能摩擦与交付延迟的顽疾。

然而,光鲜定位下暗藏挑战。首先,“为所有人服务”是双刃剑。让市场、产品人员直接生成代码,在简单原型场景可能高效,但涉及复杂业务逻辑与状态管理时,AI的不可预测性与代码质量如何保障?“不破坏生产环境”的承诺需要极其精细的权限与沙箱控制。其次,支持任意框架听起来美好,但可能削弱其深度。与Vercel自身深度绑定的Next.js生态体验,和其对Svelte、Astro等的泛化支持,能否做到同样流畅?这考验其抽象层能力。

从评论看,用户最关心的仍是实用性问题:如何与现有项目集成、迭代速度、多角色交接。这反映出市场不只需要概念,更需要可靠、无缝的工程化集成。v0若仅作为一个独立的“创意玩具”,价值有限;若能真正成为团队工作流中不可替代的协作枢纽,并形成从Vercel项目初始化到线上部署的闭环,其想象空间才真正打开。此次更新是向该愿景迈出的关键一步,但产品成熟度与生态接受度,仍需在真实的复杂项目淬炼中证明自己。

查看原始信息
The new v0
Your collaborative AI assistant to design, iterate, and scale full-stack applications for the web.

Looking forward to seeing what you launch with the new @v0 by Vercel!

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@fmerian love the v0 ability to generate beautiful production ready components!
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What is new?

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@kaansoral good q. with this update, you can now:

  • Work on existing codebases: import any @GitHub repo or @Vercel project, create branches with new chats, and open pull requests all from inside v0

  • Use any framework: @Svelte, @Astro, @Vite, @Nuxt, etc.

  • Build full-stack applications and agents

Full details in this thread (edited)

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Congrats! Is it for developers specifically or for anyone with even little experience?

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anyone can built with @v0 by Vercel

from the blog announcement (source):

  • Product leaders turn PRDs into prototypes, and prototypes into PRs, shipping the right features, fast. They go from "tell sales there's another delay" to "it's shipped."

  • Designers work against real code, refining layouts, tweaking components, and previewing production with each update. They go from "another ticket for frontend" to "it's shipped."

  • Marketers turn ideas into site updates immediately, edit landing pages, changing images, fixing copy, and publishing, all without opening a ticket. They go from "please, it's a quick change" to "it's shipped."

  • Engineers unblock stakeholders without breaking prod, making quick fixes, importing repos, and letting business users open PRs, all in a single tab. They go from "I can't keep up with the backlog" to "it's shipped."

  • Data teams ship dashboards the business actually uses, building custom reports and analytics on top of real data with just a few prompts. They go from "that's buried in a notebook" to "it's shipped."

  • GTM teams close deals with the demo customers actually asked for, create live previews, mock data, and branded experiences in minutes. They go from "let's show the standard deck" to "it's shipped."

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That's nice! Been a fan of Vercel v0. Will definitely try this one too.
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Let's go!!!

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Tried v0 and found it helpful for quickly generating UI ideas from simple prompts. It’s a convenient way to explore layouts without starting from scratch.

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Nice positioning. Framing it as a collaborative assistant for design through scale feels much closer to how teams actually build. Curious how it handles handoffs between design, frontend, and backend as projects grow.

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Really impressive update! I'm curious - how does the new version handle integrating with existing codebases? Can you import your current Next.js project and build on top of it, or is it mainly for starting fresh? Also interested in how it compares to running locally in terms of iteration speed.

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The launch is strange. It does not explain: what is new?
And it was asked about what is new, and the answer mentions a few things, but provides links to other ones.

Probably, I don't understand, and that is a tricky strategy to make me look for what is actually new?

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FYI you can read what's new in this blog announcement and ICYMI you can also find the latest product updates in /p/v0 - hope it clarifies!

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I have been a long time user of v0, and find it the best tool when it comes to creating UI components and even websites in most cases. I was looking forward to working with new frameworks. The new preview window is also good, with the mini chat window which saves time and lets you iterate faster!

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#3
Higgsfield Vibe-Motion
Create motion images in a single prompt in an editing canvas
254
一句话介绍:Higgsfield Vibe-Motion是一款通过单一提示词生成动态图像并在画布上实时编辑的AI工具,为内容创作者和营销人员解决了从创意到专业级动态视频制作流程繁琐、门槛高的痛点。
Design Tools Video
AI视频生成 动态设计 创意工具 实时编辑 文生视频 创作者经济 内容创作 智能相机控制 视频营销 生产力工具
用户评论摘要:用户普遍赞赏其生成效果流畅自然、界面直观、能快速将想法可视化。主要质疑和建议集中在:1)订阅模式复杂,关键功能被高价位锁定;2)好奇其底层技术与专业软件(如DaVinci)的对比及对设计师职业的潜在影响;3)期待更明确的人工控制与AI辅助的平衡点。
AI 锐评

Higgsfield Vibe-Motion的亮相,精准地刺入了当前AIGC领域从“静态生图”向“动态生成”演进的关键赛道。其标榜的“单一提示词生成+画布实时控制”,本质上是在降低动态创作的技术门槛与时间成本,试图将专业级的摄像机运动与动画逻辑封装为直观的交互。这并非简单的“特效滤镜”,而是对动态设计工作流的一次解构与重组。

从评论反馈看,其真正的价值可能不在于“替代”After Effects或DaVinci Resolve这类功能庞杂的巨无霸,而在于成为创意工作流中一个高效的“起搏器”和“加速器”。它让非专业用户能快速产出可用动态素材,也为专业设计师提供了快速构思和原型制作的工具。然而,其面临的挑战同样尖锐:一是如何界定“专业级控制”的深度,过于黑盒化会失去专业用户,过于复杂则违背了降低门槛的初衷;二是其订阅定价策略引发的争议,揭示了工具类产品在“普惠”与“商业化”之间的永恒矛盾。若不能清晰定义核心用户(是大众创作者还是寻求增效的专业人士)并据此设计功能与价格阶梯,很可能陷入两头不讨好的境地。

产品的长期竞争力,将取决于其AI模型对“运动美学”理解的独到性,以及“画布控制”所能达到的精细度和创造性自由度。否则,它很可能只是又一个在红海中、依靠算力堆砌出短暂视觉惊艳的平庸工具。

查看原始信息
Higgsfield Vibe-Motion
Create stunning AI-generated videos with Vibe Motion on Higgsfield. Transform your ideas into professional videos using advanced AI models with intuitive creative controls.

Hey Hunters 👋

Hunting Higgsfield Vibe-Motion today 🚀


One prompt → instant motion → full real-time control on canvas. Super smooth, super powerful, and honestly makes motion design feel effortless.

Big congrats to the team on this launch and best wishes ahead 🙌

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@saaswarrior Very cool! Congrats on the launch. What sort of AI/tools are used underneath the hood? I've seen tools like Davinci or After Effects. To what degree do you think this could replace professional designers?

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@saaswarrior vibemotion looks good
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@saaswarrior Congrats on the Higgsfield Vibe-Motion launch. Turning a single prompt into real-time motion with full control sounds like a huge step forward for motion design. Wishing the team a strong launch and lots of great feedback from the community.

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Higgsfield looks powerful. AI camera control built by creators is the right approach if it speeds up workflows without killing creative control, this could be huge for video makers 🎬🚀

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not bad when it comes to content generation. but the subscription model feels limiting and somewhat confusing, with key features locked behind higher tiers. Overall, good potential and decent output, but the pricing and access structure could be more user-friendly

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Huge congrats on the launch! 🎉 Higgsfield’s pro-level camera control and cinematic AI toolkit look insanely powerful for creators and brands.

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Wow the vid looks really slick
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@Higgsfield i love higgsfiled so much, great startup with a great growth

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Just tried Higgsfield and one thing that stood out is how quickly you can go from idea to usable visual without a complicated setup. The interface feels straightforward, which makes experimenting easier. Curious to see how it evolves with more use.

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Tried Higgsfield’s vibe motion recently. The standout for me was how smoothly it adds natural movement without making things feel over-animated. It’s been useful for quickly bringing static visuals to life with minimal setup

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Love the creator-first angle. AI-powered camera control feels like one of those tools that quietly unlocks way better output once it’s dialed in. Curious what level of manual control creators still have alongside the AI.

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#4
Voxtral Transcribe 2 by Mistral
Real-time speech-to-text with speaker diarization
230
一句话介绍:Voxtral Transcribe 2 是一款提供超高速、高准确率实时语音转文字及说话人分离服务的API,专为直播应用、语音助手和在线会议场景设计,解决了实时交互中对低延迟、高精度转录和多人对话区分的核心痛点。
Android Developer Tools Artificial Intelligence Audio
语音转文字 实时转录 说话人分离 AI语音模型 开发者工具 低延迟 多语言支持 隐私优先 会议记录 语音智能体
用户评论摘要:评论普遍对产品的发布感到兴奋,认可其低延迟和高准确性的技术实力,认为其在实时应用和语音智能体领域有巨大潜力。有用户幽默地赞叹其速度。未发现具体的功能性质疑或改进建议。
AI 锐评

Voxtral Transcribe 2 的亮相,远不止是Mistral在语音赛道的一次技术展示,更是对当前实时AI应用基础设施的一次精准卡位。其宣称的“亚200毫秒延迟”和“说话人分离”直击了实时语音交互的两大命门:速度与场景理解。在视频会议、直播字幕、实时语音助手乃至AI面试等场景中,这不仅仅是“听写”,更是为机器提供了理解“谁在说、说了什么”的对话脉络能力。

然而,其真正的挑战与价值在于“产业级部署”。标语中强调的“隐私优先部署”暗示了其可能提供本地或私有云方案,这对于处理敏感商业对话的金融、医疗、法律客户来说是关键卖点,也是其从消费级工具走向企业级服务的桥梁。Mistral作为模型层的明星公司,推出此产品意在构建从文本到语音的完整能力栈,将模型优势转化为可被直接调用的服务,从而在激烈的API竞争中(如对抗OpenAI Whisper等)建立差异化壁垒。

但需冷静看待的是,产品介绍中“行业领先的速度和成本”仍需大规模实际应用验证。用户评论虽正面却流于表面,缺乏深度使用反馈。在真实、嘈杂、充满口音和跨语种混杂的复杂场景下,其准确率与鲁棒性才是决定其能否从“技术惊艳”走向“商业成功”的试金石。它提供的不是锦上添花的功能,而是旨在成为下一代实时语音应用不可或缺的“水电煤”,其成功与否,取决于开发者是否愿意为此付费并构建出杀手级应用。

查看原始信息
Voxtral Transcribe 2 by Mistral
Voxtral Transcribe 2 delivers ultra-fast, highly accurate speech-to-text with real-time transcription and speaker diarization. Built for live apps, voice agents, and meetings, it supports 13 languages, word-level timestamps, and privacy-first deployment All at industry-leading speed and cost.
Hey everyone 👋 Excited to share Voxtral Transcribe 2! Ultra-fast speech-to-text with real-time transcription and speaker diarization. Built for voice agents, meetings, and live apps, with sub-200ms latency, high accuracy, and strong multilingual support.
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@byalexai Congrats on the Voxtral Transcribe 2 launch. Real-time transcription with that level of speed and accuracy is impressive, especially for live apps and voice agents. Excited to see how teams put this to use.

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That moment when Mistral thinks faster than I speak. :D

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It was definitely time for Mistral to launch something SOTA! Awesome.

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#5
Webflow AI site builder
Turn a prompt into a production-ready site with Webflow
182
一句话介绍:Webflow AI网站生成器通过自然语言描述,快速生成最多5页、生产就绪的网站及设计系统,解决了非技术用户或小团队从创意到专业网站落地的启动门槛高、耗时长的痛点。
Website Builder Artificial Intelligence No-Code
无代码开发 AI网站生成 多页面网站 设计系统 快速原型 生产就绪 自然语言交互 Webflow生态 可视化建站 企业级框架
用户评论摘要:用户普遍认可其降低了Webflow专业工具的使用门槛,能快速生成结构良好的多页网站。核心关注点在于AI生成代码的整洁度与长期可维护性,以及非设计人员能否有效进行后续优化。官方回应强调其基于模块化框架,保证了代码结构和设计系统的清晰可扩展。
AI 锐评

Webflow此次AI更新,远非又一个“提示词出网页”的噱头,而是一次精心设计的战略卡位。其真正价值不在于替代专业设计,而在于**重构了专业设计工具的“上船”路径**。

它巧妙地将生成过程框定在“最多五页”和围绕“Flowkit框架”内,这看似是限制,实则是确保产出物处于“可控专业区间”的精明策略。用户得到的不是一个无法预测的AI黑箱产物,而是一个继承了Webflow成熟工程实践(如模块化CSS、清晰类命名、全局样式控制)的、可无缝接入其庞大专业生态的“半成品”。这直接回应了当前AI生成内容在真实工作流中最大的痛点:即兴创作与工程化维护之间的巨大鸿沟。

评论中关于“代码整洁度”和“长期维护”的提问,恰恰击中了行业命门。Webflow的答案展示了其深层逻辑:AI在此扮演的不是颠覆性的“创作者”,而是一个高度理解内部规范、能自动执行最佳实践的“超级入门助手”。它降低的是启动成本,而非天花板。这一定位使其与面向一次性原型的轻量级AI工具产生了本质区别,它服务的终极目标,是成为企业级网站项目可信任的起点,并将用户自然引导至其强大的可视化编辑与代码导出能力上。

风险与挑战同样清晰:对复杂业务逻辑的深度理解、生成内容的个性化程度、以及如何平衡“引导”与“自由”的度,将是其能否从“惊艳的入门”走向“核心的生产力”的关键。总体而言,这是一次兼具产品思维与商业智慧的升级,旨在用AI拓宽护城河,而非拆掉它。

查看原始信息
Webflow AI site builder
Turn a simple prompt into a multi-page, production-ready website with Webflow’s AI site builder. Start with structure, styles, and animations, then continue building seamlessly in Webflow. It’s a faster start on a foundation built to scale.

AI site builder is Webflow’s updated and improved on-ramp. 

With natural language, you skip the intimidating blank page and describe what you want to build. Instead of dropping you straight into the deep end of implementation, it walks you through a site build-out of up to five pages around a theme, topic, or goal.

Webflow is an incredibly powerful tool for professionals; this lets you wade into that power through the shallow end, instead of diving straight into the depths of the full design experience in Webflow.

What you can look forward to:

  • Design up to five cohesive pages all together as a set — not piecemeal.

  • Because you're building on Webflow's tried-and-tested Flowkit framework (and establishing a design system simultaneously!), you'll never end up slopped in an AI cul-de-sac.

  • Make significant sitewide changes easily — and apply them consistently — via global theming controls.

  • Great for founders, small teams, and partners who want to spin up professional-quality sites that can expand over time.

What I like most: it reduces back-and-forth prompting chaos and instead pushes you to ship multi-page, consistent sites that actually look good.

The Webflow crew ships with craft and pragmatism, and this launch has been a year in the making.

Excited to support this launch and see what you build with it!

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@chrismessina Thanks so much for advising us on our launch. Your deep insight into the Product Hunt community helped us fine-tune our approach and ensure we showed up in a way that truly highlighted the amazing work our team has been doing.

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Hey Product Hunt!

At Webflow, our mission is to bring development superpowers to everyone. When we first launched our AI site builder last year, our goal was to help people move from idea to site faster, no matter their design or technical expertise.

Since then, we've leveled it up: Now you can use Webflow’s AI site builder to create a multi-page, production-ready site AND a foundational design system in minutes. And because it’s generated right in Webflow, you can easily tap into the full power of our platform to take your new site even further.

Here’s how it works:

  1. Describe your vision. Share what you’re building and who it’s for. Webflow AI creates a ready-to-edit site draft.

  2. Add some structure, Shape your site’s structure by adding, removing, or reordering sections and pages.

  3. Make it your own. Customize styles, colors, typography, and other elements site-wide.

  4. Go further. Extend, refine, and optimize your new site using the full power of Webflow.

Check out webflow.com/ai-site-builder to try it for yourself!

Questions? Visit the Webflow Help Center for more details.

Show us what you're building!

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26 launches! Josh and the team are really setting the gold standard for no-code. As someone who just speed-ran a build of Featmap.app on a 4-hour train ride today, I’m obsessed with how you’re lowering the on-ramp for complex sites.

I’m a big believer in the 'Simplicity First' movement—while Webflow handles the heavy lifting of production sites, I’m trying to make the feedback loop just as fast for founders.

Question: With the new AI site builder, how do you ensure the design system stays 'clean' for devs who eventually want to export the code and customize it manually?

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@michael_dors_dev Glad you're a fan of the vision!

The AI site builder is designed to create a clean, production-ready foundation that you can build on with confidence.

Every site generated uses Flowkit, Webflow’s modular CSS framework. That means consistent class naming, reusable components, and a clear design system from the start. Styles are centralized and applied systematically, not scattered or hard-coded, so the structure stays organized as the site grows.

When developers export the code, they’re getting predictable, well-structured HTML and CSS that’s easy to understand and customize manually. The result is a site that’s fast to prototype, but still clean and maintainable for teams that want to take it further in code.

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Congrats on the update! Generating both a multi-page site and a foundational design system directly inside Webflow is a big step toward faster production work. How do you think about balancing speed of generation with long-term maintainability, especially so the AI-created structure and styles scale cleanly as teams iterate and add complexity over time?

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What if we need to prototype new course landing pages fast without waiting on dev resources? Does it work well for non-designers? I can describe what I want, but I'm not sure I'd know how to "refine and optimize" properly.

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@klara_minarikova Great question! That’s exactly what the AI site builder is designed for.


It helps you go from a natural language prompt to a structured page (or multiple pages of a site) in minutes, without waiting on dev. It creates the layout, page structure, and design foundation up front so you’re not starting from scratch.

It also works well for non-designers. You don’t need Webflow expertise to get something usable. Refining and optimizing is about simple, visual tweaks like editing copy, rearranging sections, or adjusting styles, not redesigning the site. The structure stays in place.

You can move fast early, get alignment, and bring in designers or developers later to build on the same foundation if needed.

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#6
GitHub Agent HQ
Run Claude, Codex & Copilot directly in GitHub & VS Code
165
一句话介绍:GitHub Agent HQ 允许开发者在GitHub和VS Code环境中直接调用Claude、Codex及Copilot等多种AI编码助手,并能根据任务灵活切换或对比结果,解决了在单一开发环境中高效利用和对比不同AI代理能力的痛点。
Artificial Intelligence GitHub Development
AI编程助手 开发者工具 GitHub集成 VS Code扩展 多代理切换 代码生成 智能编程 Copilot增强 异步任务处理
用户评论摘要:用户反馈积极,认为在任务间切换或对比不同AI代理的输出很有价值,可将其分配给Issue或PR进行异步工作。评论者观察到不同AI对相同上下文处理方式各异,这颇具启发性。目前评论中未提及明显问题或具体改进建议。
AI 锐评

GitHub Agent HQ 表面上是一个“聚合”平台,将Claude、Codex和Copilot塞进了开发者最熟悉的环境。但其真正的锋芒,在于它无意中触及了当前AI编程工具生态的一个核心矛盾:模型崇拜与实用主义之间的断层。

当前市场被“哪个模型更强”的舆论裹挟,但开发者在实际编码中面临的往往是具体场景下的适配问题:一段晦涩的旧代码重构,Copilot可能循规蹈矩,而Claude或许能给出更具解释性的方案;一个需要创造性命名和架构设计的任务,Codex可能稍逊一筹。Agent HQ 没有试图做“裁判”,而是提供了“武器架”和“试验场”。其价值不在于引入另一个更强的模型,而在于提供了**即时比较和场景化切换的能力**。这本质上是将AI模型的选择从一种信仰式的站队,降维成一个可验证、可随时调整的工程决策。

“分配任务给代理异步工作”的功能点,更暗示了一种演进方向:AI代理不再仅仅是即时响应的代码补全工具,而可能成为项目中的“异步协作者”,负责处理那些定义明确但繁琐的代码任务(如标准化重构、文档生成、基础测试编写),这或许才是“智能编程”走向深水区的关键一步。

然而,其挑战也同样明显。首先,这高度依赖于底层模型API的稳定性、成本与响应速度,聚合模式放大了这些依赖风险。其次,在缺乏深度工作流集成和上下文管理的情况下,简单切换可能导致思维断层。最后,它的核心用户目前可能是对AI敏感的技术探索者,如何让更广大的、只求“开箱即用”的开发者感知到多代理切换的必要性与便利性,是它从炫酷工具走向必备设施必须跨越的鸿沟。

总之,Agent HQ 是一款具有战略前瞻性的产品,它没有在模型军备竞赛中硬碰硬,而是机智地选择了成为“模型管理者”和“工作流赋能者”。如果它能持续深化场景集成,并构建出不可替代的、基于多代理协作的最佳实践,它有可能重新定义开发者与AI工具的交互范式。否则,它也可能仅仅沦为高级玩家手中一个可被替代的“切换器”。

查看原始信息
GitHub Agent HQ
Claude by Anthropic and OpenAI Codex are now available in public preview on GitHub and VS Code with a Copilot Pro+ or Copilot Enterprise subscription.

Hi everyone!

Agent HQ lets you use Claude and Codex directly inside GitHub and VS Code, alongside Copilot. You can also add custom agents. Being able to swap between agents depending on the task (or just comparing their outputs) is nice.

Assign them to issues or PRs and let them work asynchronously. It is interesting to see how they handle the same context differently👾

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#7
Kling 3.0
Native 4K output with extended video time with just a prompt
139
一句话介绍:Kling 3.0是一款通过文本提示即可生成长时长、原生4K视频的一体化创意引擎,解决了创作者在高质量视频内容制作中面临的技术门槛高、耗时耗力的核心痛点。
Design Tools Photo & Video
AI视频生成 多模态AI 创意工具 文生视频 4K视频 内容创作 AIGC 生产力工具 创意引擎
用户评论摘要:用户反馈集中于期待体验其宣称的“原生4K”和长视频生成能力,并与Sora等模型进行比较。主要问题涉及获取途径(等待名单)、具体功能细节(如“原生”的确切含义)以及对不同文化元素(如中国主题)生成效果的关注。建议明确产品访问方式。
AI 锐评

Kling 3.0将竞争焦点从“能否生成视频”精准地推向“能否生成商业级质量的视频”。“原生4K输出”和“扩展视频时间”是其刺向当前AI视频生成领域软肋的两把尖刀。当前主流AI视频生成在分辨率、时长和一致性上仍显粗糙,难以直接用于专业场景。Kling 3.0若如其宣称般可靠,则意味着AI生成内容从“概念演示”迈向“可用资产”的关键一步。

然而,其真正的挑战与价值同样巨大。首先,“一体化创意引擎”的定位暗示其野心不止于视频生成,可能整合图像、音频等多模态编辑,这考验其技术整合与用户体验平衡的能力。其次,“原生4K”在营销之外,需经受色彩深度、码率、细节真实性等专业维度的检验,这直接关系到其在影视、广告等垂直行业的渗透深度。用户评论中关于访问权限的疑问,也折射出当前AI产品常见的“预告式发布”策略,热度与落地能力之间存在温差。

本质上,Kling 3.0的价值不在于单项技术的炫技,而在于试图为创作者提供一条从灵感到成品的“最短工作流”。它的对手不仅是Runway、Pika等AI视频工具,更是Adobe、Final Cut Pro等传统创意软件。能否以AI为核心重构创作流程,而不仅仅是添加一个特效功能,将是决定其能否从“有趣工具”晋升为“行业标准”的关键。我们应谨慎看待其宣传参数,重点关注其输出成果的实际可用性、工作流的流畅度以及在真实创作场景中替代传统环节的比例。

查看原始信息
Kling 3.0
An all-in-one creative engine that enables truly native multimodal creation
#8
Miro MCP
Turn code into visual docs, board context into code
115
一句话介绍:Miro MCP 是一款连接AI编程工具与Miro可视化协作平台的服务器,它允许AI直接读取白板上的产品需求、图表等信息来生成代码,或将代码库自动转化为架构图,解决了开发者在视觉文档与代码之间手动转换和重复解释的痛点。
Software Engineering Developer Tools Artificial Intelligence
AI编程助手 可视化文档 代码生成 架构图 开发协作 MCP服务器 产品需求文档 上下文理解 开发效率工具
用户评论摘要:用户肯定产品方向,认为将视觉上下文引入AI编程是重大突破。主要问题集中在:大规模/复杂白板内容处理的性能与准确性;AI对白板的读写权限管理;以及如何长期保持白板内容与代码库的同步性。团队回应已关注单板权限和内容摘要优化。
AI 锐评

Miro MCP 的野心不在于创造又一个AI编程副驾驶,而在于试图成为连接“想法可视化”与“代码实体化”两个关键环节的缺失链路。其真正价值是首次系统性地将非结构化的、散落在协作白板上的产品意图、设计决策和业务逻辑,变成了AI可理解、可执行的“高保真上下文”。

这直击了当前AI编程的核心矛盾:AI拥有强大的代码生成能力,却对项目最根本的“为什么”和“要做什么”近乎盲视。开发者被迫成为低效的“翻译官”,将图表、注释人工喂给AI。Miro MCP 若运行良好,能大幅压缩从产品设计到代码实现的“认知摩擦”,其“代码转可视化文档”的反向功能,则可能成为应对系统复杂性和知识传承的利器,让架构图能随代码自动更新。

然而,其面临的挑战同样深刻。首先,“理解”视觉信息是巨大技术难点,白板上的随意涂鸦、松散关联的便签,AI能否准确提炼核心逻辑而非陷入“噪声”,将决定其实用性上限。其次,评论中提到的权限与同步问题,触及了协作的本质:白板是动态、充满讨论甚至矛盾的“思考过程”,而代码是必须精确的“执行结果”。如何管理不同角色的访问边界,以及如何确保双向同步不至于在快速迭代中变成双向的“真理”污染,是产品从“有趣工具”迈向“核心基础设施”必须跨越的鸿沟。它不是在解决一个简单的功能问题,而是在尝试定义人、AI、视觉化知识、可执行代码之间新的协作协议。

查看原始信息
Miro MCP
Your AI coding assistant can now read your Miro boards. • Code → Visual Docs: Open your AI tool in your repo, ask "Document this on Miro" - get architecture diagrams, flowcharts, data models. • Board Context → Code: AI reads your PRDs, specs, diagrams, flows, prototypes, decisions and generates code matching your plans. • Works with: Cursor, Claude Code, Windsurf, VSCode + Copilot, Replit. • 2-min setup, OAuth. Public beta.

Hi PH! I'm Łukasz, Director of Engineering at Miro. Super excited to share what we've been building.

The backstory:
As you can imagine, our engineering team lives in Miro - we have PRDs, diagrams, user flows, wireframes, technical specs, user insights... everything.

But when we used AI coding tools like Cursor or Claude Code, they had zero context about any of this. We'd spend forever exporting, screenshoting and re-explaining everything that already existed on our boards.

Frustrating!

So we built Miro MCP Server


Now AI coding tools can read Miro boards directly. Point AI at your Miro board with PRDs, prototypes, notes and it can read everything and build exactly what you mean.

But even better, you can use Miro visual capabilities to help you understand your codebase. Imagine this:

You're looking at an unfamiliar codebase. Instead of reading files for hours, you ask your AI tool: "Document this entire system on Miro." Five minutes later, you have architecture diagrams showing how everything connects. People are using it for onboarding new engineers (visualize the codebase before diving in), for keeping documentation current (auto-generate diagrams), and for finally getting AI to stop hallucinating when building features.

What I'd love to hear:
We're in public beta specifically to learn what we're missing.

  • What use cases matter to you?

  • What's broken?

  • What should we build next?

I'm here all day to answer questions, help with setup, or just chat about where AI + visual context is heading. Let's go!

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Board context → code is the direction I keep thinking about. But it raises a question I don't have a good answer for: once an agent can read your PRD board, who decides if it can also edit it? Or read board A but not board B?

MCP is great for connectivity. The permissions side feels underspecified though. We're working on this problem at keypost.ai - basically a policy layer for MCP servers.

Have you seen teams ask for this kind of control yet, or is everyone still in "let it read everything" mode?

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@kxbnb hi! interesting issue — we are currently fairly restrictive in our MCP and focus on per-board per-use-case enablement.

Because of limitation for board by board access, we haven't seen customers ask for that yet, but it's an interesting challenge for sure

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Every time I've pointed an AI coding tool at a PRD, I end up copy-pasting sections into the prompt and losing the visual layout. Miro MCP pulling board context directly into Cursor or Claude Code skips that whole translation step. Biggest question is how it handles large boards with mixed content... rate limits plus noisy context could get tricky fast.

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@piroune_balachandran we aim to summarize and generalize the board content first, search for the artefacts that are useful for the particular task you're working with.

But you can also refer to particular elements on a board — either by copying a direct link to them or by asking your agent.

Give it a go and see if it works with your workflow — and give us a shout!

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Congrats team!

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@farbodsaraf thanks!

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Congrats on the launch! Giving AI coding tools direct access to visual product context feels like a big unlock, especially for reducing re-explanation and hallucinations. How do you think about keeping Miro boards and the underlying codebase in sync over time, so the diagrams and PRDs stay a reliable source of truth as systems evolve?

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#9
Sylvian AI Forms
Never fill a PDF by hand again
114
一句话介绍:Sylvian AI Forms是一款通过AI自动识别并填写PDF表单的工具,能处理报销单、合规表格等复杂文档,将用户从繁琐、易错的手动填写工作中解放出来。
Productivity Artificial Intelligence
AI表单处理 PDF自动化 文档智能 效率工具 企业服务 合规填报 报销管理 YC创业公司 可靠AI 专用智能体
用户评论摘要:用户肯定其解决真实痛点(如复杂、受监管流程中的PDF填写),并关注其可靠性、验证纠错机制及专业代理模式。主要问题/建议集中在:目标客户群体(医疗/合规团队还是个人)、AI是否具备学习纠错能力、如何试用、未来平台开放策略。
AI 锐评

Sylvian AI Forms切入了一个看似微小却极具价值的缝隙市场:非结构化文档数据的结构化提取与填入。其宣称的“最完整的PDF表单AI”野心,直指传统RPA和通用OCR在应对复杂表格、复选框、单选按钮时的乏力痛点,尤其是在医疗、法律等容错率极低的领域。

产品真正的价值不在于“生成”,而在于“可靠地填充”。在生成式AI陷入“幻觉”困扰的当下,其定位“可靠的专业AI”是一种聪明的差异化。它本质上是一个高度垂直的、规则与AI结合的专业智能体,其挑战并非技术新颖性,而是对无数非标准PDF表单结构的理解精度和稳定性。从评论回复看,其通过用户纠错反馈来优化特定表单模板的逻辑,是构建实用壁垒的关键——这更像是一个“可训练的模板库”,而非通才AI。

然而,其商业模式面临清晰拷问:作为独立应用,它需要应对PDF表单的无限长尾,维护成本高昂;若深耕垂直行业(如医疗合规),则需面对厚重的行业知识、数据安全与合规认证壁垒。创始人暗示目前自建专用代理,而非开放平台,这虽能保证初期体验,但可能限制其扩展速度和生态构建。在“AI+PDF”这个拥挤赛道,能否从一款精准的工具,成长为某个垂直工作流中不可或缺的、可信赖的基础设施,将是其从“有用”走向“成功”的关键一跃。

查看原始信息
Sylvian AI Forms
Upload a reimbursement form and 10 receipt images — Sylvian will fill in your form with all the info. Upload a compliance form and a spreadsheet with 10 rows of information — Sylvian will fill out 10 compliance forms for you. All of this in seconds. Sylvian AI Forms is the most complete PDF Form AI ever, made so you never have to fill a PDF by hand again.
Hi Product Hunt! I'm Will, CEO of Sylvian (YC F25), and we're setting out to create reliable, specialized AI. We're releasing Sylvian AI Forms with the goal of saving you the time of filling out PDFs by hand. Sylvian can read spreadsheets, images, and PDFs alike, and can fill out as many forms as you need in seconds. Our AI handles even the most complex of forms, handling tables, checkboxes, and radio buttons from notoriously complicated forms from medicine, law, compliance, and more. Would love to hear your feedback! Feel free to reach out to hi@sylvian.ai.
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@williamhuang This is a very real problem to go after. Filling complex PDFs is one of those tasks that’s invisible until it eats hours, especially in regulated workflows where mistakes aren’t an option. Handling tables, checkboxes, and radio logic reliably is where most automation breaks down, so it’s interesting to see you leaning into the hardest cases first. Curious who you’re seeing the strongest pull from so far. Is it healthcare and compliance teams, or individuals dealing with recurring forms at scale?
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Big congrats on the launch, Will! Solving the PDF 'unstructured data' nightmare is a huge win for productivity. As someone who just speed-ran a build of my own project, FeatMap (.app) on a 4-hour train ride today, I have massive respect for teams focusing on 'Reliable AI' over just 'Generative AI.'

I’m curious about the 'specialized agent' approach—do the agents learn from the corrections a user makes to a filled form to improve accuracy for the next batch, or is the logic mostly based on the initial spreadsheet/context provided?

1
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@michael_dors_dev Yes, users can make edits to our AI’s understanding of a particular form!

0
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This is useful, I hate filling pdfs. How do I try this?

0
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Love the focus on reliability-first workflows. PDF form filling is one of those painfully real tasks where a specialized agent can save hours if it’s accurate and auditable. Curious what your validation and error-checking loop looks like.

0
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@nextgrid Our platform allows users to edit our AI’s understanding of a form if any mistakes are made, which allows the AI to fill the form correctly in future iterations!

0
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This is nice. Are you planning to release multiple specialised agents yourself or open it to other builders release agents on your platform?

0
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@gokuljd Hi Gokul, we’re building specialized agents ourselves as of now!

0
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#10
TalkToPost
Voice notes to LinkedIn and X viral content in seconds!
99
一句话介绍:一款将杂乱语音笔记在数秒内自动转换为适用于LinkedIn和X平台的病毒式传播轮播图内容的AI工具,解决了内容创作者灵感稍纵即逝及专业设计耗时费力的核心痛点。
Productivity Social Media Artificial Intelligence
AI内容生成 语音转社交内容 社交媒体营销 SaaS工具 效率提升 创作者经济 LinkedIn运营 轮播图设计 免设计 多语言支持
用户评论摘要:用户普遍认可其解决真实痛点的价值与流畅体验。主要问题与建议包括:询问免费试用或额度;希望增加轮播图背景模板多样性;询问单页字数限制及手动添加图片功能;好奇AI如何从非线性语音中提取核心钩子与结构。
AI 锐评

TalkToPost精准切入了一个高增长且充满焦虑的赛道——专业个人与B2B社交媒体内容创作。其宣称的价值并非简单的语音转文字,而是“理解想法”并生成“专业设计”,这试图将创作链中最耗时的“结构化思考”与“视觉化呈现”环节一并自动化。产品逻辑直击“灵感流失”与“设计门槛”两大顽疾,颇具吸引力。

然而,其真正的考验在于AI的“理解”深度与输出的“专业”程度。评论中关于“如何从非线性漫谈中提取核心”的提问切中要害。目前市场上多数工具仅能做到关键词提取与模板填充,生成内容流于表面格式的“专业”,缺乏真正的洞察框架与逻辑张力。若TalkToPost仅止步于此,它将很快沦为又一个“内容美颜相机”,而非“内容大脑”。其长期价值取决于AI模型对特定垂直领域(如商业、职场)内容逻辑的掌握程度,以及能否生成具备独特观点与说服力的内容结构,而非千篇一律的清单体。

此外,其商业模式与市场定位存在隐忧。高度依赖LinkedIn和X的平台生态,需持续应对其算法变化。从“工具”走向“平台”是自然想象,但需警惕在用户建议下盲目增加功能(如品牌工具包),导致产品失焦。当前的核心任务应是极致优化从“语音灵感”到“爆款内容”的转化率与惊喜感,用结果证明其能真正提升用户的“内容影响力”,而非仅仅节省时间。唯有如此,才能从“有用的新奇玩具”进化为“不可或缺的专业装备”。

查看原始信息
TalkToPost
Turn messy voice notes into viral LinkedIn and X carousels in seconds. It understands your idea and generate professional social content instantly, eliminating manual typing and design work. No typing, no Canva or Figma
Hey Hunters! 👋 Agustin here from Buenos Aires, Argentina. I’m a developer by trade, but I’ve always struggled with the "Creator" part of being a founder. I would have great ideas while walking my dog or driving, but by the time I sat down at my laptop, the "spark" was gone. And even if I remembered the idea, I hated spending 2 hours in Canva or Figma just to make it look "professional." So I built TalkToPost to fix my own workflow. The premise is simple: Press Record: Ramble about your topic (in English, Spanish, or 100+ languages !!). AI Formatting: The engine cleans your grammar, finds the "hook," and structures the argument. The best part...It generates a stunning, customizable carousel instantly. I’d love to hear what you think! Specifically about the "Voice-to-Design" quality! Let me know if you hit any bugs! I'll be here all day fixing them. 🐛🔨
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@agustinvrancic This app feels super cool! Are you planning to release a trail version or limited credit anytime soon? Would love to take it for a try.

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I absolutely love tools (and it's the reason I check products mainly on PH) - A tool that does one thing that simplifies a lot of things in a manner of seconds, has great UI/UX, is very well thought of +++ has voice integration (I believe people are sick of typing). This is Beautiful and IT DESERVES MUCH MORE UPVOTES. Congrats, Augustin, you just created something beautiful and truly useful (and expandable down the line!) LOVE THIS.

1
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@thisisjad thanks for your comment Jad and your support! Hope it helps lot's of people out there, focusing on distribution because it solves a real problem for Linkedin users looking to scale their account

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Absolutely agree. There should be different variations of backgrounds I feel (without going grossly overboard) the way for example MICROSOFT always over-does everthing. Just minimal (unlike Canva too) but with new colors and pattern variations. A LinkedIn cover maker for professionals (or whole brand kit: profile picture helper & cover photo with text to be filled templates) would be very cool DOWN THE LINE of course... (and not all good ideas are good ideas!)

Btw, is there a limitation on how many carousels can be generated? Manual adding of a photo (like carousel cover photo - the first/last) possible? AND how much text (letters or words) can each image hold without being hard to read...

Many questions, ideas :
Excellent product.

Thanks,
Jad

0
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Congrats on the launch! Turning raw voice into a finished, share-ready carousel is a really nice way to preserve that initial spark. How does TalkToPost decide which parts of a spoken ramble become the core hook and structure, especially when ideas are nonlinear or exploratory rather than already well-formed?

0
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Really like the focus on helping people create professional content from rough ideas. It feels especially useful if you want to share ideas quickly without getting stuck on design or formatting.
0
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#11
AutoBandStudio
AI that turns your melody into a full arrangement
93
一句话介绍:一款Windows桌面应用,允许用户绘制主旋律后,由AI自动生成和弦、鼓点、贝斯和吉他等伴奏声部,解决了音乐创作者“有旋律但难以快速完成完整编曲”的痛点。
Music Artificial Intelligence
AI音乐生成 编曲辅助工具 桌面应用 旋律驱动 虚拟乐队 创作者友好 MIDI编辑 免费增值 Windows软件 音乐制作
用户评论摘要:用户认可其“虚拟乐队伙伴”的定位及和弦生成的自然度。开发者透露模型基于Pop/Ballad风格训练,对极端速度和跨风格适配能力有限。主要建议/问题集中于对更多音乐风格的拓展支持。
AI 锐评

AutoBandStudio在“文本生成完整歌曲”的AI音乐红海中,选择了一条更聪明且更尊重创作主体的路径:**“旋律主权”模式**。它本质上不是一个替代创作者的AI,而是一个将创作者从繁琐、需要大量乐理知识的伴奏编配工作中解放出来的“超级执行层”。其核心价值不在于生成了什么,而在于**它严格界定了人与AI的协作边界**:人负责核心创意(旋律),AI负责功能性、框架性的填充。这种设计巧妙地规避了当前AIGC在音乐领域最被诟病的“风格同质化”和“创意随机性”问题,将输出质量的下限牢牢锚定在用户输入的旋律质量上。

然而,其面临的挑战同样清晰。首先,其技术护城河完全系于那个“Transformer Encoder”和弦预测模型。从开发者回复看,其训练数据集中于流行和抒情风格,这极大地限制了产品的应用场景和用户广度。在音乐风格极度分化的今天,仅支持主流风格是一个明显的短板。其次,“免费+订阅”的模式中,将“无限导出”设为Pro功能是一把双刃剑,虽能刺激转化,但也可能阻碍初期用户深度体验和传播,毕竟无法自由导出成果的编曲工具实用性大打折扣。

总体而言,这是一款理念领先于当前技术成熟度的产品。它精准切入了一个细分但真实的需求,为具备基础旋律创作能力但编曲能力不足的“中间层”音乐爱好者提供了极具诱惑力的解决方案。它的成功与否,将不取决于AI有多“炫技”,而取决于其模型迭代的速度——能否快速覆盖摇滚、电子、嘻哈等更多元风格,以及其编辑功能(如鼓点、吉他声部)能否提供足够精细的手动调整空间,以满足用户从“辅助”到“共同创作”的进阶需求。它证明了,在AI音乐领域,“少即是多”的克制设计,可能比追求全自动生成,更能赢得创作者的长期青睐。

查看原始信息
AutoBandStudio
Free Windows app that turns your melody into full arrangement with AI. Unlike tools generating songs from prompts, AutoBandStudio keeps your voice. You sketch the melody — AI fills in the rest. How it works: 1. Draw melody on piano roll 2. AI generates chords, drums, bass, guitar 3. Export as MIDI or audio Features: 🎹 AI chord prediction 🎸 Guitar generation (4 styles) 🥁 Editable drums ✂️ Regenerate sections 💾 Save/load projects Free — Pro unlocks unlimited exports.

Hey everyone! 👋 I'm a solo developer working full-time as a C# desktop app developer. I built AutoBandStudio on nights and weekends over the past few months.

Why I made this: I've been playing in bands since college. I always had melodies in my head, but turning them into full songs was the hard part — especially the accompaniment. There are amazing AI music tools out there that generate entire songs from text prompts. I wanted something different: a tool where I create the melody, and AI just helps with the backing track. Think of it like sketching a drawing and having AI color it in.

Tech behind it: The chord prediction model is a Transformer Encoder built and trained in PyTorch. As a C# developer, diving into Python and deep learning for the first time was... an experience 😅

Where it stands now: 650+ downloads across 58 countries, 5.0 rating on Microsoft Store. v2.0 just launched with guitar generation, drum editing, and a Pro subscription.

I'd love to hear your thoughts — what would make this more useful? What's missing? Thanks for checking it out! 🎵

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The AI chord prediction flows naturally with the melody , no awkward harmonies at all

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@rahul_manjhi1 Glad to hear that! The chord prediction model was the part I spent the most time on, so this means a lot.

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Love this approach. Preserving the original melody while letting AI handle arrangement feels way more creator-friendly than prompt-only generation. Curious how well it adapts across genres and tempos.

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@nextgrid Currently, the model is trained on a general dataset, so it works best with pop and ballad-style melodies. Tempo-wise, it handles a decent range, but extreme tempos may give less ideal results. Thanks for the question!

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It feels a lot like having a virtual bandmate: you throw out an idea and get a full, living arrangement in return

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@misha___mavrin That's exactly the vibe I was going for. A virtual bandmate who fills in the rest. Thanks!

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#12
Therapist AI
Built by Therapists, For Therapists
89
一句话介绍:一款由治疗师构建的AI辅助平台,通过自动化文书、管理会话和追踪进度,在临床诊疗场景中为治疗师节省行政时间,使其能更专注于客户关怀。
Productivity Artificial Intelligence Health
心理健康科技 AI辅助治疗 医疗SaaS 行政自动化 治疗师工具 会话管理 进度追踪 SOAP笔记 效率工具 B2B医疗
用户评论摘要:用户反馈高度认可其“由治疗师、为治疗师”的定位及节省行政时间的核心价值,期待后续功能。主要询问集中于案例笔记助手是否支持多种治疗框架,开发者回应目前基于SOAP框架,并计划增加其他模板。
AI 锐评

Therapist AI 精准切入了一个高价值且被长期忽视的痛点:心理健康专业人士的行政负担与职业耗竭。其宣称的“Built by Therapists, For Therapists”并非空洞口号,而是其核心竞争力的来源——这确保了产品设计源于真实的临床工作流与伦理考量,而非粗暴的技术套用。从评论看,其初期成功的关键在于传递了“赋能而非替代”的明确信息,缓解了行业对AI的抵触情绪。

然而,其真正的挑战与价值考验才刚刚开始。首先,**产品差异化壁垒不高**:自动化文书、进度追踪等功能已是众多实践管理软件的标配,其AI“助理”的具体效能、准确性与专业性(如基于SOAP框架的笔记生成)需经受严格临床验证。其次,**商业化与数据隐私的平衡**:处理极度敏感的心理健康数据,其安全架构、合规性(如HIPAA/GDPR)及数据使用政策必须是铁板一块,任何含糊都可能摧毁信任。最后,**从“工具”到“生态”的跨越**:能否从节省时间的效率工具,演进为能提供临床决策支持(如风险预警、干预措施建议)的智能伙伴,将决定其长期天花板。

当前版本更像一个精心设计的“止痛药”,市场反响证明了痛感之强烈。但若要成为行业基础设施,它必须证明自己不仅是行政的“减法器”,更能成为临床疗效与治疗师可持续发展的“放大器”。下一步,看它如何将治疗师的深度反馈转化为不可轻易复制的、与临床工作深度绑定的智能体验。

查看原始信息
Therapist AI
Get help from a team of AI therapy assistants and digital tools to manage therapy sessions, track client progress, and streamline administrative tasks. Avoid losing your most valuable resource - time. With Therapist AI, you'll find everything in one place 24/7. For professionals, you can focus more on care and less on paperwork.
As therapists, we don’t choose this work because it’s easy — we choose it because we believe in transformation. But the reality? Endless admin steals precious time from the work that matters: being present with clients, guiding change, and holding space with compassion. Therapist AI was created by therapists, for therapists — to give back time, energy, and headspace. So you can stay connected to your passion, spend more minutes in meaningful work, and less buried in paperwork. We built this to support the future of therapy — grounded in humanity, strengthened by technology, and fuelled by the belief that your time is sacred and your work changes lives. Let’s give therapists back their hours, and give the world more healing.
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@nyrelle_bade well done! This will be a game changer four so many businesses, but ultimately the clients that really need the help and support will be getting our full attention without being derailed from processes that should be automated.

Amazing

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@nyrelle_bade Finally! This is what the industry needs. Therapists should focus more on the patients and let AI do the admin work. Very cool. Congrats on the launch!! Cant wait for this to fly along with V2 - especially the case note assistant every therapist carries with them.

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@suraj_naik1 thanks for all your help with bringing my vision to life and helping to support me along this journey.

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Working on this project has been such a fulfilling experience for me. There was something incredibly meaningful about helping build an app focused on supporting therapists, the individuals who spend their careers helping others, but whose own challenges are rarely spoken about. Every stage of this app’s development has been guided by empathy, user feedback, and a deep commitment to creating something that genuinely helps people.

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What I really appreciate about TherapistAI is that it’s built around real therapist needs — not just technology. By reducing the admin burden, it helps therapists save time, protect their energy, and stay focused on meaningful client work. It feels like a product designed to support human care, not replace it, and I’m excited to see how it grows with feedback from the therapist community.

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@eris_tran Thank you for your support! Your excellent team work skills and excitement to be part of this project as an intern was great to see. You stepped up to the challenge and I loved seeing you develop new skills and confidence in areas you did not have before.

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Wow, that launch video is... something. 😅

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@chrismessina Thank you for watching our launch video. We really appreciate you taking the time. It means a lot to us and the journey behind building this.

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As an aspiring therapist, being part of building Therapist AI has been incredibly meaningful. I’ve seen firsthand how much time, emotional labour, and energy therapists pour into their work, often at the cost of their own wellbeing.

This product was shaped by real conversations with clinicians, real admin pain points, and a shared belief that therapists deserve better tools. We didn’t want to “add another platform” ,we wanted to reduce friction, cognitive load, and after-hours work.

Excited (and grateful) to finally share this with the community 💛

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@wai_zhen_chok Although you were very nervous to start your internship, you excelled in your leadership abilities. I loved the fun we all had making the video (it's almost a movie) and your vision for what you wanted the video to convey. So dedicated!

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Looks great! Therapists are hero’s of society so seeing a platform to help them out is always great to see.
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@peterdasilva Thank you so much, Peter. That truly means a lot. We completely agree, therapists do incredibly important work, and we’re grateful to build something that supports them.

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@nyrelle_bade Congrats on the launch! I'm curious about the case note assistant mentioned in the comments: does it help structure the notes based on specific therapeutic frameworks, or is it more of a general summary?

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@valeriia_kuna Hi Valeriia! The Case Note Assistant helps to structure notes based of the SOAP framework: Subjective (S), Objective (O),Assessment (A) ,Plan (P).

It will be structured into a summarised table format with what you input into the chatbox! You can voice record or type your case notes. We are working on version 2 which will provide options for other case noting styles and templates soon :)

@nyrelle_bade feel free to elaborate further, but we would love to offer you a free trial of 1 month for you to try Version one out today!

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Congrats on the launch. Love the “built by therapists, for therapists” positioning and the focus on saving clinicians time by reducing admin overhead.

The real value here is helping therapists stay present with clients while the tooling handles summaries, progress tracking, and follow-ups. Wishing you a strong launch day. @nyrelle_bade

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#13
Votap
A platform for the world to vote on political leaders
89
一句话介绍:Votap是一款让民众像给商品写评价一样,随时为政治人物进行实时点赞或点踩投票的平台,旨在填补选举间隙期公众表达渠道的空白,试图解决民众日常政治参与感弱、对政客缺乏持续监督渠道的痛点。
Politics Social Media Political news
政治科技 公众参与 政客评分 实时投票 社会监督 公民科技 舆论平台 政治问责
用户评论摘要:用户肯定概念创新,但担忧政客接受度与数据真实性(如机器人刷票)。核心建议包括:增加对具体法案/议题的投票功能;整合新闻事件以解读情绪波动;思考如何应对用户对政客评价的复杂性(支持部分政策但反对其他)。
AI 锐评

Votap的野心在于将金融市场般的实时反馈机制植入政治领域,其核心价值并非预测选举,而在于构建一个持续性的“社会压力仪表盘”。它试图将模糊的民意转化为可视化的、可追踪的数据曲线,这在理论上是公民监督工具的一次激进实验。

然而,其面临的挑战远大于技术实现。首先,**数据价值与噪音的悖论**:简单二元投票能否承载复杂的政治评价?用户评论已指出,支持政客A的政策X但反对其政策Y的困境,将被淹没在一个笼统的分数里,这可能导致结果肤浅化,反而削弱了讨论深度。其次,**代表性幻觉的陷阱**:平台用户必然是自我筛选的、非代表性的群体,其产生的“民意”极易被误读为普遍民意,可能加剧政治极化,或成为操纵舆论的工具。创始人提及防机器人机制,但更根本的是如何防止有组织的群体刷票——这本质上是一场军备竞赛。

其真正的破局点,或许在于评论中提到的“对法案投票”的延伸方向。如果它能从“评人”转向“议政”,聚合对具体议题的民意,并展现不同选区、人群的细分数据,则可能从一款情绪宣泄工具,升级为更具建设性的政策洞察平台。否则,它很可能沦为政治粉丝的应援榜或反对者的泄愤墙,无法实现其“改善行为、改善社会”的宏大初衷。创始团队需要回答:Votap是旨在真实度量民意,还是仅仅提供一种情绪表达的场所?这两者的产品设计将截然不同。

查看原始信息
Votap
Votap is like Google Reviews, but for politicians. Tap to upvote or downvote—and see thousands of votes move the chart live.

Hi Product Hunt 👋
I’m Alex, co-founder of Votap.

Votap started from a frustration my co-founder @zahoor_ali and I kept coming back to. Politics has a huge influence on our lives, yet most people have almost zero impact on politics day to day. We thought, if investors can react to companies in real-time on the stock market, why can’t ‘we the people’ do the same with politicians?

So we started building Votap:

  • It’s completely free to use

  • Vote on politicians anytime, not just during elections

  • Results update live as people vote

The aim is to hold politicians accountable between elections. Our belief is simple. When feedback is constant and transparent, behaviour improves. And when behaviour improves, society improves.

We’ll be here in the comments all day — we’d love your honest feedback! Ask anything, challenge the idea, or tell us why this is a good (or terrible) concept. We’re here for it 🙌

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Truly love this concept, but do you think politicians are actually ready for a real-time performance review or should we expect some angry calls when their stock starts crashing? :D

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@valeriia_kuna Haha, appreciate the love 😄

Honestly, probably a bit of both. Real-time feedback isn’t always comfortable, but that discomfort is kind of the point. CEOs deal with live market sentiment every day, and politics has a huge impact on people’s lives, yet feedback is slow and indirect.

We’re not expecting politicians to love it on day one, but over time we think normalising transparent public sentiment could lead to better accountability and better conversations.
Curious, would you actually use something like this to track politicians you care about, or would you mostly check it when big news breaks?

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Hey Product Hunt 👋 I’m Zahoor, one of the founders of Votap.

Like most startups, Votap started pretty scrappy. A lot of late nights, second-guessing, building things that break, fixing them, and slowly figuring out what actually matters to users. This isn’t a polished “big company” launch. It’s very much a real product built by a small team trying to learn fast and build something useful.

We built Votap because politics affects almost every part of our lives: cost of living, housing, work, safety, opportunity. Yet for most of us, our actual influence feels close to zero outside of elections every few years. That disconnect never sat right with us.

Votap is our attempt to close that gap. It’s a simple way to express how you feel about politicians in real time and see how public sentiment shifts live through charts. No waiting years between elections. Just ongoing feedback.

Launching on Product Hunt matters a lot to us because early adopters here don’t just click and disappear. You ask tough questions. You spot flaws. You suggest features we didn’t think of. That feedback is genuinely how early products get better, and we’re here to learn.

If you try Votap, I’d love to hear:

  • What feels confusing?

  • What feels useful?

  • What would make you come back?

Thanks for checking it out, and appreciate any feedback (good or brutal). This is just the start for us 🙏

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@zahoor_ali If You had live votes on laws and legislation, especially for nationwide changes that would make me come back every time some bill is going through parliament!

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This is genuinely great haha! So is it just users signing up and voting at the moment or do you also take into consideration live news, trends of social media (X, Instagram etc) that also effect a politicians popularity / ranking within the app?

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@mustassim Thank you. The app also has a news feed for major media outlets which mention the politicians. You can vote on the articles too.
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@mustassim Good question! Right now the rankings are driven purely by live user voting inside the app. We do show relevant news in the Media tab, and users can vote on articles there too, so you can see how sentiment shifts around real-world events. Longer term, we’ll also use news and trends as context around voting signals.
Do you think seeing sentiment change alongside news would make you check the app more often, or would you mostly dip in when there is breaking news in politics?

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This caught my eye because I've long considered a similar idea. The idea being to propose real world questions based on real legal decisions/controversies or a suggestion being made and have people vote on it. For example, if insurance cost to you is the same or cheaper and you wouldn't have to change medical providers, would you be in favor of universal health care? Yes or No. Which i understand is just a poll, but if you have enough people leaning one way or another in a particular district, then your local politician could use that as information to guide them in a direction of how their constituents prefer they go. Of course this assumes you have enough participants. But then there could also be concerns of how reliable the data is if bots figure out a way to lean it in one direction or another... have you considered simple, topical questions?

Having said all that, I like the idea. A concern to me about voting on how a particular politician is doing, is someone may like certain things they are doing, but not others so it may not be as cut and dry. I think how they go on issues is what is important and easier for people to follow. Maybe combination of the idea above and your existing product: Trump wants to do X. I agree or don't agree on this particular issue. Then maybe have it aggregate up for an overall score.

0
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#14
Agent Sandbox
Your agent's personal remote computer and drive
87
一句话介绍:为AI智能体提供一个安全的本地沙盒计算与存储环境,解决了开发者在构建AI应用时,既要赋予代码执行能力又需规避安全风险与复杂基础设施管理的核心痛点。
API Developer Tools Artificial Intelligence
AI智能体开发 沙盒计算 代码安全执行 本地运行 云存储 开发者工具 AI基础设施 Agent工具 文件管理 工作流自动化
用户评论摘要:创始人分享了产品源于解决AI代理运行代码时的安全与部署难题。用户肯定了其API设计的简洁性,并询问跨会话的持久文件系统支持,得到肯定答复。该功能被证实对需要状态保持的工作流(如数据分析)至关重要。
AI 锐评

Agent Sandbox切入了一个精准且日益凸显的缝隙市场:AI智能体的“身体”或“操作环境”。当前AI浪潮中,大模型作为“大脑”的能力被无限追捧,但其与物理世界(或数字世界)交互的“手脚”却严重缺失。该产品没有选择在模型智能层面内卷,而是转向提供安全、可控且集成的执行层,这是一种极具洞察力的基础设施思维。

其真正价值在于“受控的能力赋予”。它并非简单地提供一个虚拟机,而是通过“存储桶”与“会话”分离的架构,巧妙地平衡了安全隔离与状态持久化的矛盾。这直接命中了AI智能体从单次对话玩具迈向复杂、多步骤工作流工具的关键瓶颈。开发者无需再在“全盘信任”与“从零搭建复杂基础设施”之间做痛苦抉择,一个API调用即解决了文件上传、代码执行和产物获取的完整闭环。

然而,其挑战也同样明显。首先,作为本地运行的工具,其性能与资源边界将受用户本地硬件制约,复杂任务可能遭遇瓶颈。其次,在安全层面,它虽然隔离了主机,但沙盒本身的安全性、对网络访问等敏感行为的管控深度,将是企业级用户考量的重点。最后,其商业模式和与云端Agent平台(如LangChain Cloud、Cline等)的竞合关系值得观察。它目前是本地化的赋能工具,但若智能体工作流本身向云端迁移,它的定位可能需要调整。总体而言,这是一个务实、解决真问题的产品,为AI智能体的能力落地提供了关键的“基座”,但其长期发展取决于能否从单点工具演进为智能体工作流的标准执行层。

查看原始信息
Agent Sandbox
Agent Sandbox gives AI agents what they've been missing: a real computer. While other tools focus on making AI smarter, we focus on making AI capable, with sandboxed compute, cloud storage, and artifact retrieval in a single tool. Agents can now upload files, run Python/Bash, install packages, and return real deliverables like charts, PDFs, and datasets all while running locally on your machine.
Hey Product Hunt! Eishan here, building this with my co-founder Akshay Khepla. We started Agent Sandbox after one too many "oh no" moments. You know the feeling—you're building an AI agent, it needs to run code, and your options are: (1) let it loose on your local machine and pray it doesn't pip install something sketchy or nuke a folder, or (2) spend weeks setting up sandboxed containers, cloud storage, networking, permissions... all before you've written a single line of your actual product. Neither felt right. So we built the thing we wanted: one API to upload files, execute code safely, and get artifacts back. No local risk, no infra rabbit holes. You can get up and running with just a single onboarding prompt to your local coding agent! Anyway, we're stoked to share it. Let us know what you think, ask us anything!
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Single API for upload, execute, artifacts back is the right surface area. Most sandbox tools either give you too much infra to manage or too little control over the runtime. Does Agent Sandbox support persistent file systems across sessions? That's where stateful agent workflows get tricky fast.

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回复

@piroune_balachandran Yes it does! Think of it like agent's personal S3 bucket. Sessions are like their personal VM machines. Any file from their storage can be injected into any session. It's been super useful having my clawbot analyze market data for insights using Agent Sandbox :)

1
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#15
PopAir
Your All-in-one AI Copilot for MacOS
83
一句话介绍:PopAir是一款原生macOS AI助手,通过全局快捷键和统一模型枢纽,在写作、会议、图像处理等日常场景中,解决了用户需在多平台、高内存占用应用间频繁切换的碎片化痛点。
Productivity Artificial Intelligence
AI助手 macOS原生应用 多模型聚合 效率工具 系统集成 图像生成 会议记录 文本处理 轻量级应用 订阅制
用户评论摘要:用户认可其原生开发带来的性能优势与“Magic Panel”的无缝交互体验,认为其解决了竞品导致工作流中断的问题。同时有用户深入询问了其“上下文边界”的管理逻辑,关注其精准理解与隐私平衡。
AI 锐评

PopAir的野心不在于成为又一个聊天机器人前端,而旨在成为macOS的“AI系统层”。其真正价值并非简单聚合GPT、Claude等模型,而在于通过SwiftUI原生开发实现的“无感化”系统级渗透——无论是全局快捷键触发(⌥⌥),还是“询问窗口”的屏幕感知能力,都试图将AI从需要主动访问的“应用”降维成随手可用的“系统能力”。

产品犀利地切中了当前桌面AI工具的两大痼疾:其一是以Electron为代表的Web套壳应用带来的资源浪费,这在AI本就争抢算力的环境下尤为致命;其二是交互上的“上下文断裂”,用户仍需复制粘贴或切换窗口。PopAir的“Magic Panel”在选中文本上直接操作,是对“流式工作”的尊重。

然而,其宣称的“What Apple Intelligence should have been”也暴露了最大风险:对系统级集成的重度依赖,既是护城河,也是命门。一旦苹果在系统层面推出深度AI功能,此类第三方工具极易被降级或替代。此外,“看见屏幕”带来的隐私疑虑、多模型在统一界面下的体验调和、以及“一站式订阅”背后的商业可持续性,都是其从“犀利工具”迈向“可靠平台”必须跨越的鸿沟。它的成功,将取决于能否在“系统集成深度”与“独立应用价值”之间找到不可动摇的平衡点。

查看原始信息
PopAir
PopAir is the native macOS AI powerhouse built for speed and seamless integration. Using SwiftUI for 5x less RAM, it brings the world’s best models into one experience. • Unified Hub: GPT, Claude, Gemini & DeepSeek in one place. • Image Studio: Generate, edit, and upscale instantly. • Smart Meetings: One-click recording, transcription, and AI summaries. • System-wide: Instant OCR, translation, and rewriting via the Magic Panel (⌥⌥). One subscription. The AI superpower your Mac.
Hello Product Hunt! 👋 I’m Hasan, the creator of PopAir. As a engineer and designer, I’ve always been obsessed with the bridge between technical power and seamless experience. I built PopAir because using AI on macOS felt broken. Fragmented between dozens of browser tabs, heavy Electron apps, and expensive, overlapping subscriptions. The Vision: What Apple Intelligence should have been. We didn't just build another AI chat window; we built a native powerhouse. PopAir is designed to be the "missing layer" of macOS. Multi-model, context-aware, and deeply integrated into your system. Why PopAir? ⚡ Native Speed: Built with SwiftUI for ~5x less RAM usage than Electron alternatives. It’s ultra-light and instant. 🎯 Magic Panel (⌥⌥): Double-tap Option on any text, in any app, to trigger AI actions without breaking your flow. 🤖 Multi-Model Freedom: Access GPT, Claude, Gemini, and DeepSeek in one place. One subscription, zero "subscription fatigue." 🎙️ Smart Meetings: Record, transcribe, and summarize meetings with one click. 👁️ Context-Aware: Use "Ask with Window" to let PopAir "see" your active screen or analyze YouTube videos instantly. AI shouldn't be another tab you manage; it should be a superpower built into your Mac. I’d love to hear your feedback! What features would make PopAir the ultimate tool for your daily workflow? 🚀
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@hasanaydins SwiftUI over Electron matters more now than two years ago. AI tools already compete for RAM and GPU, so a menu bar assistant shipping Chromium is fighting your actual workload for resources. The double-option-key trigger on selected text is where PopAir pulls ahead of Raycast AI and BoltAI. Those tools are solid but they context-switch you into a separate panel. Acting on text in-place without leaving your app is a bigger deal than it sounds.

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An AI assistant for my entire Mac workflow? I'm sold. Want to dive in immediately!

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@misha___mavrin Thank you Misha!

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Congrats on the launch! Treating AI as a native system layer instead of a separate app feels like the right direction for macOS. How do you think about managing context boundaries, especially when PopAir can see active windows, so actions stay helpful and precise without pulling in too much or the wrong context?

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#16
Modaal
Business-grade iOS apps, end-to-end
80
一句话介绍:Modaal是一款面向iOS原生应用开发的端到端AI智能体,它通过规范化的产品需求、架构设计和代码生成流程,解决了开发者在利用AI助手快速构建应用时,随着项目规模扩大而出现的代码混乱、架构失控和难以维护的核心痛点。
iOS Developer Tools Vibe coding
AI辅助开发 iOS原生应用 Swift/SwiftUI 代码生成 项目架构 工程化实践 智能体编排 开发者工具 技术PM工具 可维护性
用户评论摘要:用户反馈积极,认可其解决AI编码项目“规模扩大后上下文丢失、小改动引发大问题”的痛点。创始人强调产品融合了高效工程团队的实践。主要问题聚焦于生成代码后是否需要大量手动打磨,以及产品经理等非纯开发者的使用体验。社区建设意愿强烈。
AI 锐评

Modaal的亮相,与其说是一个新的AI代码生成器,不如说是一次对当前“提示词即代码”狂热浪潮的冷静纠偏。它精准地刺中了AIGC编程工具的“阿喀琉斯之踵”:在项目从原型迈向产品的关键跃迁中,缺乏工程化纪律所导致的架构熵增与维护灾难。

其真正价值不在于生成更多的代码行,而在于生成“对”的代码结构。它将产品经理的思维语言(PRD、用户流程)直接翻译为工程师的契约(架构、模块边界),充当了产品思维与工程实现之间的“编译层”。这种“规划先行”的强制约束,试图将硅谷精英团队数十年积累的工程实践(如清晰规范、可维护架构、代码审查文化)封装为AI可执行的流程。这本质上是在用AI对抗AI自身带来的混乱。

然而,其商业模式与定位暗含挑战。其一,它定位“已在使用Cursor/Claude Code的开发者”,这意味着其用户是现有AI编程工具的“高级用户”或“受挫用户”,市场基数需要验证。其二,它将自身定位为“编排者”,成本依赖于底层AI模型,这在带来灵活性的同时,也可能使其价值被模型提供方的更新所稀释。其三,最大的考验在于其“规范”的普适性与灵活性平衡。它预设的“最佳实践”能否覆盖不同领域、不同风格应用的独特需求?过于严格的框架可能扼杀创新,而过于灵活又可能重蹈覆辙。

Modaal的野心,是成为AI时代软件工程的“脚手架”与“监理”。它能否成功,不取决于它能否写出惊艳的算法,而取决于它能否让一个由AI生成的项目,在六个月后依然能被人类顺畅地理解和迭代。这是对工程智慧能否被有效算法化的终极测试。

查看原始信息
Modaal
Modaal is an end-to-end AI agent for native iOS in Swift. It turns your idea into the artifacts serious apps require: PRD, MVP scope, user/data flows, navigation, and growth-ready architecture—then drives implementation as vertical slices so you ship safely, step by step. Modaal prioritizes maintainability: consistent structure across screens, clean module boundaries, and small SwiftUI diffs you can review. Connect the repo, and keep building with your team as the product scales.

Hello Product Hunt! Ivan here - Founder of Modaal.

I’ve spent the last 17 years building mobile products. I shipped hundreds of apps, led development teams, and worked as an engineer at Uber and Meta - building native apps at every scale, from scrappy prototypes to systems used by millions.

I believe in the benefits of building fully native mobile apps - this gives you the most flexibility, control, and native performance, the fullest possible access to native OS features, and the most powerful and expressive development languages and tools.

Today, with AI coding agents, anybody can start building a fully native mobile app - in minutes. However, as the projects scale, AI agents lose the context, the code bloats and stops doing what it was supposed to, small changes start taking hours and break something unexpected. These problems aren't new, and are solved in high-performing engineering teams with the help of proper planning - to gather the context before building, architecture - to keep the project scalable and maintainable over time, code review - to keep the code consistent, and testing - to make sure changing one screen doesn't break another.

Modaal brings the best engineering practices from high-performing teams. It is an orchestrator between you, your favorite AI coding agent, and Xcode, allowing you to create projects that stay maintainable as they scale.

As a true senior engineering team, Modaal:

  • Gathers context and creates comprehensive specifications.

  • Plans ahead: incorporates app architecture, and verifies every decision with you.

  • Maintains architecture - so what it builds stays consistent.

  • Automatically builds and fixes errors after every step.

We’re keeping pricing as transparent as possible:

  • You pay a small platform fee for Modaal.

  • You use the agent you already pay for (Cursor, Claude Code, etc.).

  • If you don’t pay for an agent yet, the combined cost (Modaal + agent) is still far lower than vibecoding tools that charge per credits.

  • Result: predictable monthly cost for building apps - no "surprise credit burn" when you're debugging.

Who it's for

  • Developers who are already using Cursor / Claude Code (or similar).

  • Technical PMs and designers who can write clear specs and want true native output.

  • or Just Builders who want to ship their own product and aren't afraid to install Xcode and plug in an agent.

We’re early, shipping fast, and we want your brutal feedback - drop a comment, I’ll be happy to get back! 🚀

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@ivan_misuno exciting to see it live!

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@ivan_misuno Finally! A solution for iOS developers 💪
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Launches are very personal for me. It’s like delivering a baby — you spend months building, then one intense day and it feels like success… but in reality it’s just the beginning of the whole journey.

Modaal is a special tool for me. I wish it existed 15 years ago, when I shipped my first native apps in my agency in Ukraine. I’m a builder at heart — I’ve never written a single line of code, but I’ve always had ideas.

Modaal helps builders (PMs, designers, founders) turn a clear idea into a high-quality, truly native Swift/SwiftUI iOS app — not a demo, not “web in a wrapper”.

If you’ve tried AI coding and hit the point where projects grow, context drifts, and “small changes” break everything — that’s exactly what we’re solving.

Our goal today: get your honest feedback and make this MVP to a product that you tell is "10/10".
Drop a comment — and join our community - https://discord.gg/KyQzDXxgU3.
Let’s build together.

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Love how Modaal slots into the ecosystem instead of trying to replace it. Excited to see how fast teams can ship once architecture and consistency stop being bottlenecks for AI.

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@quser Exactly, hope to stay laser-focused on this approach! Thanks for your support!

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@quser yes, you said this soo nicely!

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Congrats on the launch! Question for a PM: once the agent does its thing, how much manual polishing of the UI or code is typically needed, or is it truly a 100% hand-off?

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@valeriia_kuna That's a very good question. For this we're asking for as much feedback as possible, and are open to work with builders in a 1-1 setup.
Please join our community in Discord: https://discord.gg/TTDRgUQg
From my experience, it becomes possible to build finished products while staying in the AI-only workflow.
I'm curious of your experience!

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Congrats guys! Can't wait to see what the community will built with it

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@farbodsaraf yes! thank you for your support!

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@farbodsaraf Thank you for your support!

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Guys, you’re crushing it 🔥 Wishing you a fast takeoff and big wins, can’t wait to use Modaal!

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@anna_chernysh Thank you!

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@anna_chernysh thank you! doing our best!

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Glad to see Modaal launch today.
Looking forward to seeing how it’s used to turn product ideas into structured, native mobile apps.

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@vikakurchenko Thank you for your work and imagination!

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All builders, please feel free to join the builders community:
https://discord.gg/9CnEj7r2

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@lenaavramenko congrats on the launch. Community from the day one is a great approach!

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@nick_nikolaiev Thank you for your support!

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@nick_nikolaiev yes, I do much believe in community leg growth! we have a simple goal to make our product absolutely lovable by 100 people and from this number we can scale as we wish!

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So excited to see Modaal live! Can’t wait to build some cool widgets for IOS with it!

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@jeniab yaw! we also can't wait to see what comes!

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Solid app!! Congrats on your launch!!
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@tetianai Thank you!

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Congrats team! Excited to see what cools apps are built thanks to Modaal!

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@anthonyroux_ Thanks!)

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Congrats! This is an amazing solution!

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@nuo_li thank you!

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Love this ❤️ It’s a real problem getting 90% done with an app, then hitting a wall. So I love seeing an experienced team that’s willing to focus on the final tweaks that make ALL the difference between another abandoned project, and a smash success. Eager to start building! 🔥

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@scott_kennedy 🚀🚀🚀 Thanks! And will be happy to connect/help you build. Please join our makers community: https://discord.gg/TTDRgUQg

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As a product person, what caught my eye here is the spec-first approach. Most AI coding tools want you to describe a feature and then generate code. Modaal starts where I actually work: PRDs, user flows, architecture decisions. That means one stays grounded in the product thinking layer, while the tool handles implementation. The big advantage for me here is that what comes out isn't a throwaway demo but a real native codebase with proper structure that a dev team could actually pick up and build on. This changes prototyping from "validate and rebuild" to "validate and keep going."

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@sanderyermakov Exactly! Thanks for your feedback! Please also join our community on Discord: https://discord.gg/9CnEj7r2

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Congrats on the launch! I’m rooting for this one — the “end-to-end product development” angle is exactly what’s been missing for me in most AI coding tools. Upvoted and can’t wait to try it properly.

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@mlinne Thanks! 🚀🚀🚀 Please join our makers community too! https://discord.gg/4FcT4ktV

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Congrats on the launch @lenaavramenko and the team! 🚀

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@kate_syuma Thank you!

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Looks nice, can't wait to try it on some pet projects

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@karabeen Thanks! Looking forward to see what people are building!
Please feel free to join our Discord!
https://discord.gg/9CnEj7r2

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@karabeen wow, yes!!

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I have been waiting for Modaal release for so long. Very happy day!!!!

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@catherine_madden Thank you! Please also join our Discord community: https://discord.gg/9CnEj7r2
We help builders use Modaal, and we're very open for feedback)

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@lenaavramenko this looks fantastic - congrats and best of luck with the launch!

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@plgeek Thank you!)

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Saw you guys launched on LinkedIn, good luck! With the integration of Claude in to XCode I wonder what the additional value is of a tool like this? even less technical?

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@kasje Hi Kas! Good question. What we bring to the table right now: an app template (architecture, module organization, knowledge base for the agent) that scales from very simple projects to apps that have hundreds of screens and complex internal logic. And this is only the first step.

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Congrats with launch!
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Love Modaal’s direction. Feels much closer to how real teams build and review iOS apps. Excited to see how this evolves for larger codebases 🥳

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Congrats the team. Good luck to find your first user 🤞

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Hey Ivan @ivan_misuno ,

Congrats on the launch of Modaal!

It sounds like an incredibly powerful tool for developers, especially with its focus on scalability and maintainability.

How's the response been so far? What kind of marketing goals or strategies are you focusing on to get the word out? Would love to hear how you're planning to promote it!

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Congrats guys! 🎉 I’ve been building apps for 6 years now and this looks seriously impressive! Love the clarity of the workflow p.s. the visual is 🔥

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Wish you all the luck with the launch!

Taking into account you joint expertize, Modaal has no way than to become a true gem of highest quality

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#17
SessionCast
CLI control to monitor and work with Claude Code remotely
73
一句话介绍:SessionCast 是一款通过浏览器远程访问和控制本地 Claude Code 会话的工具,解决了开发者在外出时无法便捷、稳定地继续家中或办公室AI编程工作的痛点。
Developer Tools Artificial Intelligence Remote Work
远程开发工具 AI编程辅助 浏览器访问 无VPN 无SSH 轻量级代理 开发效率 跨设备协作 开发者工具
用户评论摘要:用户赞赏其轻量化和免复杂配置的理念,解决了传统远程访问(VPN/SSH/tmux)的繁琐和字符兼容性问题。主要建议集中在未来功能上,例如支持并行多会话管理和监控仪表板。
AI 锐评

SessionCast 表面上是解决“远程访问Claude Code”这一具体场景的工具,但其深层价值在于对“远程开发访问”范式的简化与重构。它敏锐地捕捉到了一个核心矛盾:云原生时代,AI辅助编程等重型工具仍常驻本地,而开发者的工作流却需要移动化。传统解决方案(VPN/SSH)是通用但沉重的“核武器”,为安全与普适性牺牲了便捷性。

产品真正的犀利之处在于其“减法”哲学:它不试图成为另一个远程桌面或完整的开发环境,而是精准地充当一个“会话管道”。通过牺牲部分通用性(专注特定应用),它换来了极致的易用性——代理+浏览器的两步操作。这本质上是一种面向特定场景的“瘦客户端”思想复兴。

然而,其挑战与机遇并存。深度绑定Claude Code既是其早期立足点,也可能成为其天花板。产品的长期价值取决于其“中继集成库”的开放程度和生态构建能力,如评论中提到的ThreadCast案例。未来,它能否从一个优秀的功能性工具,演进为一个支持多种AI编码助手乃至自定义应用的轻量级远程访问协议平台,将决定其天花板的高度。安全性作为此类工具的命门,在宣传中“无VPN/SSH”的便捷背后,其具体的安全模型和加密传输细节,将是专业用户和技术决策者下一步必然审视的关键。

查看原始信息
SessionCast
SessionCast lets you remotely access Claude Code running on your local machine from any device. Working with Claude Code on your home PC but need to step out? Traditional remote access requires VPN setup, SSH configuration, tmux, port forwarding... and after all that, non-ASCII characters still break. Run our lightweight agent on your PC, then access your Claude Code session from any web browser — phone, tablet, or another computer. No VPN. No SSH keys. No complex setup. Just works.
Hey Product Hunt! 👋 I built SessionCast because I was frustrated with the complex setup needed to access Claude Code remotely. Every guide says: install Tailscale, configure SSH, set up tmux, manage keys, forward ports... After hours of setup, I finally connected from my phone — and Korean characters were broken 😅 So I built something simpler: 1. Run the agent 2. Open browser Now I start Claude Code tasks at home, then continue from my phone at a café. Would love to hear what features you'd want to see next!
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Hey Product Hunt! I’m the maker of SessionCast.

Here’s the moment that triggered it:

I pulled an all-nighter at the office, shipped a bunch of work, then walked into a customer meeting the next day and thought…

“Uh… I didn’t write the docs.”
“No worries, I’ll just ask Claude Code to summarize yesterday’s changes.”

So I opened my laptop.

…and realized my Claude Code is on my office PC, far, far away.

VPN? Not set up.
SSH? Ports closed.
Keys? Configs? tmux? 🫠

All I wanted was simple:

From my phone:
“Hey office PC, ask Claude: summarize the API spec I worked on yesterday.”

But doing that the “normal way” is a whole side quest:
VPN, SSH configs, keys, tmux, apps, connection issues… and then you still babysit the VPN.

So I built SessionCast.

How it works

  • Run the agent

  • Open a browser

  • That’s it

- No VPN
- No SSH port opening
- No app install (browser-only)

Also: SessionCast isn’t just a standalone tool.
It includes a relay integration library, so you can build your own stuff on top of it.

A real example: ThreadCast (AI agent collaboration tool) is built on SessionCast relay.

You could use it for:

  • internal AI coding assistant dashboards

  • multi-machine agent monitoring

  • AI pair programming platforms

  • basically anything where “I want access to my dev box from anywhere” should be easy

That’s SessionCast.
Less setup, more shipping

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Love this lightweight approach — VPN + SSH + tmux setup is always a friction point for remote Claude Code sessions. The browser-based access is exactly what mobile-first workflows need.

I'm curious about multi-session support: when running multiple Claude Code instances in parallel (e.g., different worktrees), can you switch between sessions or monitor them simultaneously from the same dashboard?

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#18
AI Bulk Analysis
Turn contracts into instant, actionable intelligence
70
一句话介绍:一款利用智能体AI批量分析海量合同文件,将其转化为结构化数据并提供自然语言交互功能的产品,解决了企业在合同管理中长期存在的信息分散、版本混乱、关键条款(如续约、付款节点)难以追踪的痛点。
SaaS Legal Artificial Intelligence
合同智能分析 AI法律科技 企业SaaS 文档自动化 商业智能 风险管理 自然语言处理 数据可视化 合规管理 流程优化
用户评论摘要:用户反馈揭示了合同管理的核心痛点:合同散落各处、版本混乱、关键日期易遗漏、人工审查耗时。有效评论指出,产品价值在于提供全局视角和可追溯的洞察,而非仅是文档存储。开发者回应阐述了产品解决“规模化理解合同”问题的设计初衷。
AI 锐评

AI Bulk Analysis 看似是又一个合同管理工具,实则试图撬动一个更根本的转变:将静态的、防御性的法律文件,转变为动态的、可主动挖掘的商业资产。其真正价值不在于“分析”这个动作,而在于将非结构化的合同语言“翻译”成机器可读、可查询、可关联的结构化数据层。

这步“翻译”是关键。传统CLM(合同生命周期管理)系统侧重于流程管控,而此产品通过“智能体AI”进行批量解析,旨在直接生成数据仓库。这使得“与整个合同库对话”成为可能,其本质是提供了一个面向复杂合同数据的自然语言查询接口。这直接挑战了法务、财务、运营团队依赖人工记忆、碎片化检索和周期性报告的传统工作模式。

然而,其面临的挑战同样尖锐。首先,准确性与可信度是生命线,尤其在法律语境下。“每个洞察均可追溯至原合同”的承诺至关重要,但AI在理解复杂长句、隐含条件和行业术语时的错误率,仍需在真实场景中经受严格检验。其次,其价值高度依赖于数据输入的规模和质量,对于合同管理尚未数字化的企业,上手的门槛依然存在。最后,它触及了企业内部的数据孤岛和权责边界,如何与现有OA、ERP、CRM系统打通,并让不同部门信任并依赖这一“单一事实来源”,是比技术更难的 organizational challenge。

总体而言,这是一款具有前瞻性的产品。它不再满足于让合同管理“更高效”,而是试图让其“更智能”,将合同从成本中心转化为洞察中心。但其成功与否,将取决于其AI引擎在法律文本极端复杂性面前的鲁棒性,以及其能否融入并重塑企业现有的决策流程,而非仅仅作为一个外挂的“仪表盘”。

查看原始信息
AI Bulk Analysis
Tool analyzes your entire contract repository - extracting structured data like dates, values, jurisdictions, milestones, renewals. you get: A complete portfolio-level snapshot (active, expired, expiring soon) Structured views across parties, values, timelines, and regions Visual dashboards for renewals, payments, and milestones Customizable parameters based on what matters to your business The ability to chat with your entire contract repository using natural language.
Unlock the insights in your contracts with Legitt AI's Repo Analyzer. Interact with your contract repository using natural language, analyze on custom dashboards, and schedule reports. Streamline contract management, save time, and enhance oversight with ease.
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When we spoke to legal, finance, and operations teams, the problem wasn't drafting contracts, it was understanding them at scale.

Contracts lived everywhere: shared drives, inboxes, legacy systems. Teams tracked different versions. Renewals were missed. Obligations went unnoticed. And getting a simple answer often meant weeks of manual work.

We built Bulk Analysis to solve this exact problem.

Our goal wasn't to build another document storage system. It was to create a way for teams to understand their entire contract portfolio instantly.

Bulk Analysis uses agentic AI to analyze thousands of contracts in one pass, turn them into structured data, and surface insights that were previously hidden. Every insight is traceable back to the original contract, so teams can trust and verify what they see.

We believe contracts are one of the most underutilized sources of business intelligence. Bulk Analysis is our step toward changing that.

We'd love your feedback and your support.

- Team Legitt AI
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#19
GitScrum Studio for IDE
Full project management inside VS Code, Cursor & Windsurf
66
一句话介绍:一款将完整项目管理平台(看板、聊天、文档等)嵌入VS Code等IDE内部的扩展,解决了开发者因频繁切换浏览器与IDE而导致工作流中断、专注力下降的核心痛点。
Productivity Task Management Developer Tools
IDE扩展 项目管理 开发者工具 工作流整合 实时协作 看板 减少上下文切换 VS Code插件 效率工具 团队协作
用户评论摘要:创始人亲自介绍产品理念,获得用户对核心创意的认可。主要反馈为积极尝试意愿,但尚未出现具体功能反馈或深度建议。有效评论稀缺,讨论有待深入。
AI 锐评

GitScrum Studio的核心理念——“Zero context switching”——精准刺中了现代开发者,尤其是深度使用AI编程助手(如Cursor、Windsurf)者的高级痛点。它并非简单功能迁移,而是试图在“编码”这个单一物理界面内,重构“开发-协作-管理”的完整工作流闭环,其野心在于成为IDE内的“操作系统级”协作层。

产品真正的价值与风险并存。其价值在于,它试图将项目管理从“需要主动访问的外部系统”转变为“代码环境的被动沉浸式背景”,这符合工具“隐形化”的高阶趋势。若成功,能极大保护开发者的心流状态,理论上提升深度工作效率。然而,其风险同样显著:首先,IDE界面本就拥挤,嵌入复杂管理功能可能引发信息过载与视觉干扰,违背“专注”初衷;其次,它挑战了用户对“重型”项目管理工具(如Jira)的依赖,其功能深度与定制性能否满足复杂团队需求存疑;最后,其成功极度依赖生态整合,与Git、代码评审、CI/CD等工具的深度联动将是关键,目前介绍对此着墨不多。

当前66票的关注度表明其概念吸引人,但评论区的冷清也反映出,从“有趣概念”到“不可或缺的工具”之间,尚有巨大鸿沟。它需要证明的不仅是功能的存在,更是其嵌入后能带来超越独立专业工具与浏览器分屏工作模式的**净体验增益**。否则,它可能只是将“标签页切换”的痛苦,转化成了“IDE面板切换”的另一种负担。

查看原始信息
GitScrum Studio for IDE
GitScrum Studio isn't just another task list extension. It's the entire project management platform embedded inside your IDE. Stop alt-tabbing to browser. Manage Kanban boards, sprints, chat with your team, track time, access files, discussions & wiki - all without leaving VS Code, Cursor, or Windsurf. Zero browser tabs. Zero context switching. Maximum focus. Built with Laravel backend, optimized for real-time performance.
Hey! 👋 I'm Renato, founder of GitScrum. Super excited to share GitScrum Studio for IDE with you today! The Problem: I was tired of the constant context switching. You're in the zone, AI is helping you code faster than ever, then you need to check what's next on your sprint. Tab. Browser. Jira. Wait. Login. Load. Find the task. Copy the ID. Go back to code. Flow destroyed. 23 minutes to get back in the zone. The Solution: GitScrum Studio brings the ENTIRE project management platform inside your IDE. Not a simplified task list – the full suite: • Real Kanban boards with drag & drop • Time tracking in your status bar • Sprint planning & burndown charts • Team chat & discussions • Wiki & documentation • And everything else you'd expect What I'd love feedback on: - What features would make this indispensable for your workflow? - What integrations would you want to see? - How do you currently handle project management while coding? Thanks for checking it out! Happy to answer any questions 🚀
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@renatomarinho I really like the core idea behind the product. Would definitely give it a try. 😇

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#20
WebTerm
Safely run even rm -rf / — all in your browser.
61
一句话介绍:WebTerm是一款在浏览器中安全运行危险Linux命令的终端模拟器,解决了初学者学习命令行时因担心误操作损坏系统而不敢实践的核心痛点。
Linux Education GitHub
命令行学习工具 终端模拟器 浏览器应用 安全沙盒 编程教育 零配置 即时体验 Linux命令练习
用户评论摘要:评论主要为开发者自述的产品更新介绍,暂无来自真实用户的直接反馈、问题或建议。有效用户评论缺失。
AI 锐评

WebTerm标榜的“安全运行`rm -rf /`”是一个极具传播力的营销噱头,它精准地抓住了命令行初学者的普遍恐惧心理,并将其转化为产品的核心卖点。这暴露了当前命令行学习工具的普遍短板:要么是过于简化的玩具,要么是直接使用真机终端带来的高风险门槛。

然而,其真正价值并非在于这个“噱头”命令本身,而在于它试图构建一个“零摩擦、零风险”的逼真CLI沙盒环境。通过提供接近真实的命令覆盖、通配符支持,它旨在弥合“理论学习”与“危险实践”之间的巨大鸿沟。产品定位清晰——不是给开发者的生产工具,而是面向初学者的安全练习场。

但深层问题不容忽视:首先,“安全”的代价可能是环境的“失真”。当用户知晓所有操作都是虚拟且无后果时,其学习时的心态、警惕性和最终形成的操作习惯,与面对真实生产环境时是否存在认知偏差?这可能导致一种虚假的熟练度。其次,目前缺乏社区真实反馈,其“更清晰的交互”是否真正符合初学者认知模型,有待验证。最后,作为纯前端应用,其命令的覆盖深度和扩展性可能遇到瓶颈。

总体而言,WebTerm切入了一个细分且刚需的市场,其“无风险试错”的理念具有教育价值。但它的成功最终将取决于其模拟环境的真实度、教学引导的设计深度,以及能否将用户从“安全沙盒”平稳过渡到“真实终端”。否则,它可能只是一个让用户过把“危险命令”瘾的趣味网站,而非严肃的学习工具。

查看原始信息
WebTerm
WebTerm now lets you safely run even the most dangerous Linux commands like `rm -rf /`, right in your browser — no setup needed. I’ve added wildcard (glob) support, expanded command and option coverage, and made interactions clearer for beginners. Unlike other terminal emulators or learning tools, WebTerm offers a realistic CLI experience instantly, without risk! It’s the most frictionless way to explore and learn the command line.
Hey Product Hunt! 👋 I’m back with a big update to WebTerm, a browser-based terminal for learning the CLI with no setup. This version adds support for `rm -rf /` (safely!), wildcards like `*`, better interactions for beginners, and more real commands and options. If you’re curious about the command line — or just want to try `rm -rf /` without killing your machine — give it a spin😄 Would love your feedback, thoughts, or even bug reports. Thanks for checking it out!
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