Product Hunt 每日热榜 2025-12-09

PH热榜 | 2025-12-09

#1
Dapple
A smart platform to manage awards, contests and applications
291
一句话介绍:Dapple是一个面向创意行业的智能一体化管理平台,通过整合征集、评审、管理和报告流程,解决了奖项、比赛和作品征集活动中因使用分散工具(如邮件、表格)而导致的管理混乱和效率低下痛点。
Productivity CRM
创意产业管理平台 奖项竞赛管理 作品征集系统 评审流程自动化 表单定制 支付集成 项目管理 SaaS 效率工具 流程优化
用户评论摘要:用户普遍认可产品解决了管理混乱的核心痛点。有效问题集中在目标行业扩展性(如电竞)、支付集成、盲审和去重功能、表单自定义及评审流程灵活性上。团队回复证实了与Stripe的集成、高度可定制的工作流以及针对创意行业的核心设计。
AI 锐评

Dapple切入了一个细分但痛点明确的利基市场——创意行业的赛事与征集管理。其价值不在于技术颠覆,而在于对“创意工作流”的精准理解和流程重构。它本质上是一个高度垂直的“流程引擎”,将散落于邮件、表格、即时通讯工具中的非标准化流程产品化、标准化。

产品看似在解决管理者的“效率”问题,实则试图重塑整个生态的“体验”。创始人的背景揭示了更深层的洞察:传统流程的笨拙不仅拖累组办方,更伤害提交者的热情与信任。因此,Dapple的价值主张是双向的:为组办方降本提效(工具价值),为提交者创造透明、专业的交互体验(生态价值)。这使其区别于通用表单或项目管理工具。

然而,其挑战也显而易见。一是市场广度:过于聚焦创意行业可能限制初期规模,而向体育、电竞等“相邻行业”拓展,又需面对工作流差异化的新挑战。二是功能深度:评论中关于盲审、去重、自动化报告的追问,暗示了从“够用”到“精专”仍有距离,需持续投入以构建壁垒。三是竞争隐忧:该领域虽无巨头,但一旦被验证,易被更强大的通用平台通过功能模块快速覆盖。

总体而言,Dapple是一款典型的“场景驱动”型产品。其成功关键在于能否在利基市场中极致化体验,形成高粘性的用户社群和行业口碑,从而在垂直领域建立不可替代性,而非单纯比拼功能清单。

查看原始信息
Dapple
Dapple is an all-in-one management platform helping businesses in the creative industry collect, review, manage and report on submissions. Whether it's running calls for entry, awards, accepting applications, managing contests or pitches, Dapple streamlines the whole process into one simple-to-use platform, saving users hours in admin.

Hey PH world! 

If you’ve ever tried to run an award, contest, open call, or any kind of submission or application process, you probably know the drill: scattered emails, messy spreadsheets, a mixture of forms, reviewers working in different places. If you’ve got software, it’s probably clunky, expensive and built in the 2000s.

Dapple is our answer to that.
It’s a smart, simple platform that brings everything into one place. With beautiful forms for collecting applications, intuitive tools for organising, review panels for scoring, voting and feedback and easy ways of communicating with applicants, it removes the admin chaos.

Who’s it for?

Built by creatives for creatives, Dapple is aimed at arts organisations, publishers, non-profits, creative institutions - small teams doing big, meaningful work. We wanted to build a tool that would break the mould of a dry, corporate-based application system and create one that was sleek, intuitive, transparent, and fun to use. 

Thanks for checking us out!

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@oz_osbaldeston It’s impressive how you addressed the admin chaos creatives deal with. A unified, intuitive system like this can genuinely improve the experience for both organizers and applicants.

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Who is your target audience? Because first thing that came to my mind are some sport tournaments and online games (esports)

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@busmark_w_nika Hey Nika! Our target audience is the creative industries. Our platform is built to accept any file type and size and is designed for the processes required by those industries. That being said, due to the flexibility of the workflows/forms/setup etc, we've have had a mix of inbound from adjacent industries too and so depending on the setup, we could also work with sports tournaments and online games too :)

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Congrats on the launch! What was your inspiration or motivation to build Dapple?

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@peterclaridge Thanks! I'm originally a musician and a writer, and always found the process of either submitting demos or articles/manuscripts very cumbersome. I'd often send work off and not hear back (if at all) for months. It quickly transpired this was because creative orgs were being overwhelmed with submissions and had no real way to manage them. This then led us to try and fix the route issue - a better way to manage submissions. If we could improve the ability for businesses running creative applications, awards or contests then the net effect would be an all-around better experience for the people submitting material too!

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Super clean idea — love how Dapple removes the usual chaos of scattered emails, inconsistent forms, and overcomplicated legacy tools. The focus on simplicity + creative user needs really stands out. Excited to see how this evolves! What’s the biggest improvement you’re working on right now?
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@eric_ukeje Thanks for the feedback Eric. There's lots in the pipeline but our review panel feature (building teams of reviewers or judges to independently score, vote, comment on submissions) will be taken to the next level in subsequent releases with advanced automations and reporting. Cheers

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This is so needed. Managing awards and contests manually is actually a nightmare - spreadsheets everywhere, email chaos.

Quick q - does it integrate with payment tools? Like if people submit work and we need to collect fees? Also how do you handle judging workflows?

Looking good! 😍

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@imraju Hey Raju - Thanks for your feedback! Great question. Yes, we have a direct integration with Stripe. You can connect your Stripe account through the platform and start taking payments (such as submission fees or entry fees) in a matter of minutes. As you connect your own account, payments are deposited immediately (so no future payouts or invoicing etc). You can create different projects within the system, each with its own set of payment(s) and can run multiple contests/awards etc, simultaneously.

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That's a great idea to have a management platform for reward stuff. Congrats on the launch 🚀

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@basharath Thanks!

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Ah, flashbacks. Ran a small arts award with Google Forms + messy sheets. Total chaos. Nice to see review panels + comms in one place. How’s blind judging handled and dupes deduped? Screens feel clean, not corporate. Could’ve used this last year.

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@alexcloudstar Ah shame we weren't around then to help you out! Personal creator details can be hidden for blind reviews. Previous submissions are stored against their profile and using filters and bulk select, you can easily archive dupes en masse (although it doesn't tend to be too much of an issue so far with early customers). Thanks for taking a look and the feedback!

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Congrats on the launch! @oz_osbaldeston really useful tool

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So exciting! Good luck with your journey! My question is how customizable are the forms?

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@djolexv Hey! Forms are fully customizable. You can create an unlimited number of fields with all the field options such as dropdowns, selection boxes, single/radio etc. You can also brand all the forms with backgrounds, headers and themes etc. Thanks!

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Does Dapple allow custom review workflows for different types of submissions?

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@abod_rehman Hey Abdul! Indeed it does. For each submission type (we call them "projects"), you can create your own customised workflow, based on that project's needs. E.g you could have a project with multiple payments and automations at each stage of the submission journey. You could simultaneously run a separate project with no payments and different (or no) automations set. Thanks for the question.

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Your team has truly delivered an amazing product that is now a critical, indispensable part of my toolkit. Thank you once more!

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@yuki1028 Thanks!

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Interesting! Thank you for the product. Just a quick note, I think the images on your website are poor quality, which detracts from the visual experience. Just an idea for upgrading your product :)

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@diana_mirrorapp Hi Diana, thanks for the feedback! We'll certainly look at upgrading the website image quality asap!

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#2
BON Credit
Reduce your debt with AI
256
一句话介绍:BON Credit是一款AI驱动的信用卡债务管理应用,它通过整合多卡信息、分析利率与消费,为用户制定个性化还款计划,在用户面对多卡高息、还款混乱的债务困境时,提供清晰、自动化的行动方案,旨在减少利息支出并加速债务清偿。
Finance
AI个人理财 信用卡债务管理 智能还款规划 金融科技 债务减免 账单整合 行为金融学 财务管理工具 美国市场 免费增值模式
用户评论摘要:用户普遍认可其“行动而非分析”的核心价值,并关注AI策略逻辑(如是否动态调整、兼顾数学最优与行为激励)、数据安全、商业模式、国际扩展(如加拿大)及与竞品(如Cred)的差异。开发者积极回复,透露了策略的混合性与数据通过Plaid处理且不存储。
AI 锐评

BON Credit的亮相,精准刺中了传统债务管理工具的软肋:它们擅长用图表制造焦虑,却吝于提供可执行的逃生路线。其宣称的“AI层”价值,不在于算法有多高深,而在于它试图扮演一个冷静、全知的财务副驾,在用户与银行复杂规则构成的迷宫中导航。

产品的真正颠覆性,或许不在于“雪球法”或“雪崩法”的算法混合——这已是理财常识——而在于其试图实现的“系统级干预”。它将分散的信用卡账户、各异的还款日与利率陷阱整合进一个界面,并内嵌支付功能,这实质上是在用户与银行体系之间插入了一个优化代理。其承诺的动态重规划,是对抗人性弱点与收入波动的关键,若实现可靠,将从“计划工具”升级为“实时协管”。

然而,其面临的挑战同样尖锐。首先,**信任壁垒**:连接所有信用卡并集中支付,对安全性与可靠性的要求极高,任何数据泄露或支付延迟都可能引发灾难。其次,**商业模式模糊**:作为一款声称免费且提供奖励的应用,其长期可持续性存疑。未来是通过推荐金融产品抽佣、订阅高级功能,还是处理债务重组服务盈利?这关乎产品中立性与用户利益的根本。最后,**效果验证**:在“减少利息”的承诺背后,实际节省金额是否显著到足以改变用户行为?AI的“个性化”是否会沦为另一种形式的建议,而无法真正抗衡银行从循环利息中盈利的底层商业动机?

评论中关于“谈判”功能的探问,点明了更深层的可能性:如果BON仅止于优化既定规则下的还款,其价值天花板明显;若能利用聚合的用户数据与洞察,代表用户与银行进行费率协商或债务重组,才算真正“深入系统”。目前看来,BON更像一个高度智能的还款策略引擎与支付聚合器,它解决了“信息混乱”与“执行繁琐”的痛点,但尚未触及信用卡债务生态中更坚固的权力结构与利益链条。它的成功,将取决于能否在安全、盈利与实效三者间找到稳固的支点,并证明其AI驱动的“行动”能产生足够颠覆性的财务结果,而不仅仅是心理安慰。

查看原始信息
BON Credit
BON helps you reduce your credit card debt using AI. It analyzes your cards, balances, interest rates, and spending, then gives you a simple plan to pay less interest and clear debt faster. You get guidance, reminders, and personalized options that traditional apps never show. The best fintech app designed.

Hey👋 I’m Abhinav, one of the makers of BON Credit.

Over the last year, I kept seeing the same pattern: people weren’t drowning in debt because they were irresponsible; they were drowning because the system is confusing, fragmented, and full of traps.

Multiple cards. Different due dates. High APRs. Zero clarity on what to pay first.
Most tools show you charts. None of them actually help you get out of debt faster.

So we built BON Credit, an AI layer that sits on top of all your credit cards and does the heavy lifting for you.

What BON Credit does

  • Connects all your credit cards (securely)

  • Plans the smartest payoff path based on APR, utilization, due dates, and your cash flow

  • Lets you pay all your credit cards inside one app

  • Rewards you for paying on time with real perks.

What makes BON different

  • Action, not analytics; BON actually helps you get out of debt

  • Zero-interest strategies optimized by AI

  • Unified bill pay - all cards, one flow

  • Positive incentives for good habits

We’ve been building BON Credit for months with a small, obsessive team; talking to users, shipping weekly, and learning fast.

I’d love to hear your thoughts, feedback, and what you’d want BON Credit to do next.

Thank you for checking us out ❤️
- Abhinav

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@abhinav_jain_ Does BON Credit handle multiple card types from different banks seamlessly? Would love to know how smooth the setup is

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@abhinav_jain_ The debt management apps really needed a tool that acts, not just tracks. BON seems to be filling that gap. Many congrats! :)

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@abhinav_jain_ Curious how BON adapts payoff strategies when users’ spending patterns change — does the AI replan dynamically?

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I’m curious about the AI optimization logic here. Does the model prioritize strictly by highest APR, or does it factor in cash flow/psychological wins?

We deal with similar optimizing for human behavior challenges at SquarePact, so I’m interested in whether the AI optimizes for math or for habits. Congrats on the launch @abhinav_jain_!

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@anighojkar Great question. We do both. BON’s AI starts with the math (APR, balances, due dates) but adjusts the plan based on real-world behavior. Some people stick better to small early wins, others to pure interest optimization. The model picks the path that keeps you consistent while still reducing total interest paid.

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This is such a thoughtful approach. Debt tools usually overwhelm, BON actually guides.

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This is fantastic - does the app also teach you about how to improve your credit score? In the theme of confusing information - there's so much to learn around what's impacting your credit ... is it opening cards, having multiple lines of credit, closing a card?? Can't wai tto check it ou

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Congrats on the launch. Does the AI automatically replan the payoff strategy when income or spending patterns shift?

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@zerotox Yes. BON updates the plan automatically when your spending or cash flow changes. If you pay more one month, pay less, or a new balance shows up, the AI recalculates the fastest, cheapest path and adjusts your strategy in real time

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Hey Abhinav, that line they were drowning because the system is confusing, not because they were irresponsible really hits. Was there a specific person or moment that made that click for you?
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@vouchy Exactly. We talked to 100+ people and the pattern was the same. They were trying to pay down debt, but their balance kept growing because of how the system works. One example that shocked us was someone who paid before the due date and still got hit with interest because the payment didn’t ‘post’ in time. The bank then suggested paying an extra fee to credit it instantly. And I was like wth!!!!

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Absolutely love your product! Any chance you’ll be making it available in Canada soon?

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This is an incredible idea and such a widespread need. How do you handle data safety?

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Great concept and the UI looks sleek and meaningful

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Your app looks great and it certainly is needed in today's climate. If you don't mind me asking, the app is free and offering rewards, what is the commercial model behind it? Is there one, will there be one in the future? I wonder how this valuable offering can be viable as a free service.

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When BON Credit uses its AI assistant to recommend credit cards or loans, how deep does the recommendation go? Does it consider long-term costs, interest rates, and credit-score impact?

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@getsiful Yes. BON looks beyond surface perks. The AI models long-term cost, APR, fees, credit-score impact, utilization changes, and how the new card or loan fits your existing debt.

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I see your main advantage is to help people understand the credit system easily. Apart from that, is it same as Cred?
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@anishsharma We reduce debt faster and cheaper for US citizens.

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Love this. The debt problem is crazy broken right now. Banks don't make it easy to understand your options and most people end up paying way too much in interest.

What's the actual savings number you're seeing per person? And are you guys handling the full negotiation piece or just giving advice? Just curious how deep into the system you're going.

Keeping an eye on this one! 🚀

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On the security side, how are card connections handled and what data does BON actually store vs. just read?

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@roopreddy We use Plaid for credit card connections and we don't store any financial data of the user.

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How does BON decide between different payoff strategies (avalanche, snowball, utilization-based, etc.) when creating a plan for someone with multiple maxed-out cards?

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@nuseir_yassin1 Hey Nuseir, It runs all the major strategies in parallel, then picks the version that saves you the most interest while keeping you consistent. If someone needs early wins, it leans snowball. If the goal is pure cost reduction, it leans avalanche. For high utilization risk, it blends both.

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The app looks looks sleek and purposeful! Would love to see future integrations maybe with savings accounts for a full financial snapshot.

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@himani_sah1 It already have that :)

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#3
TubeGuide
Convert YouTube to step-by-step notes
222
一句话介绍:TubeGuide是一款将冗长的YouTube教程视频即时转换为可操作步骤指南的工具,解决了学习者因视频内容冗杂、节奏拖沓而不得不反复观看、难以提炼核心步骤的痛点。
Productivity Notes YouTube
视频学习工具 YouTube笔记生成 AI摘要 效率工具 教程转换 步骤指南 学生工具 自学辅助 生产力应用 内容提炼
用户评论摘要:用户普遍认可其解决“反复观看视频”痛点的核心价值,认为其节省时间、非常实用。主要建议包括:支持提取时间戳和代码片段,优化对超长视频和技术教程的处理能力,并考虑增加学生优惠。开发者积极回应,部分功能已快速迭代。
AI 锐评

TubeGuide切入了一个被忽视但广泛存在的需求缝隙:信息媒介与学习习惯的错配。YouTube是视觉/听觉的线性信息流,而深度学习和操作却依赖可反复浏览、结构化、可检索的文本。该产品本质是充当“认知转码器”,将低信息密度的视频流压缩为高密度的行动清单。

其真正价值不在于AI摘要技术本身,而在于对“学习工作流”的精准解构。它瞄准的不是泛泛的“视频总结”,而是高度场景化的“教程拆解”,承诺输出“可遵循的步骤、工具和需求”,这使其从众多摘要工具中脱颖而出,具备了成为特定领域(如编程、技能学习)刚需工具的潜力。

然而,其面临的挑战同样尖锐。首先,技术天花板明显:处理复杂逻辑嵌套的技术教程时,AI能否准确理解并排序操作步骤?能否区分叙述、举例和核心指令?当前“分块摘要”的方式对长视频的逻辑连贯性是巨大考验。其次,商业模式与规模化的矛盾:作为解决“时间浪费”的工具,其自身必须极度快速、廉价。一旦试图覆盖更复杂的视频类型或追求更高准确率,计算成本将飙升。用户愿意为“节省的时间”支付多少,将决定其天花板。

评论中开发者与用户的积极互动显示其敏捷的“解决问题”姿态,这是早期产品的宝贵资产。但长期来看,它必须从“有趣的AI玩具”进化为“可靠的学习基础设施”,这需要在AI能力、产品设计(如社区、笔记集成)和可持续商业模型上找到更坚实的支点。它揭示的趋势是:在信息过载时代,工具的价值正从“提供信息”转向“优化个人的信息消化系统”。

查看原始信息
TubeGuide
Turn YouTube tutorials into actionable step-by-step guides instantly. The #1 YouTube notes generator for students, developers, and self-learners. Paste a link, get a guide.
I was trying to learn something from a YouTube tutorial a few weeks ago. 47 minutes long, lots of talking, sponsor promos, side tangents, “smash that like button”… and at the end I realised I still didn’t have the actual steps written down. I had to watch it again. 😩 So I built this. Paste a YouTube link → it turns the whole thing into a step-by-step guide you can actually follow. No fluff, no filler, just the actions and tools you need. It’s honestly a little ridiculous that this didn’t already exist. But I know it's a bit stupid as well 😅 I made it for myself because I learn visually but I work text-first. And now I can grab the guide, copy it to my notes, save it for later, or follow it like a recipe. It’s weirdly addictive. Is this silly? Yes. Will it save people hours of rewinding, pausing, and scrubbing? Also yes. 🧠 What it does: Summarises any YouTube tutorial into clear steps Pulls out tools, requirements, actions Lets you copy/export the guide instantly Saves past guides so you never lose anything Why I’m sharing it today: Because I built this for fun. But the first time it worked, I got chills and thought I had to share it. It felt like learning finally bent to me, not the other way around. If you try it, I’d love your feedback. Brutal honesty is always welcome. If it helps you skip one long video, mission accomplished. Thanks for reading. Now go learn something in 1/10th the time. 👇
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@robin_gustafsson Love the concept. Super practical tool.

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@robin_gustafsson Interesting! Solving a big problem not sometimes everytime when we forget what was the next step then we need to watch the video again and again and it is really very hectic. Your solution is go to go :) Congrats on your launch.

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@robin_gustafsson Curious how TubeGuide handles more technical tutorials—does it extract tool names or steps differently for coding videos?

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Hopefully, will learn coding with this! :D

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@busmark_w_nika That would be amazing! What would this help you with in that sense you think, and what else could we do to help you even further?

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Fed it a 40-min React hooks video. Got a sane checklist + tools in 10s. Pasted into Obsidian. Might save my spacebar from pause-scrub hell. Curious how it handles code snippets/timestamps, but yeah... solid little win.

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@alexcloudstar Thanks for testing it out and offering your feedback! Let me know if you find anything else. We can manage timestamps, so that's a good idea!

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I really loved that you gave the feature to copy paste the Guide to Notion. I would love to see, if you also add timestamps, which will help us go to that particular part of the video when required.
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@anishsharma That's a great idea. We'll make it happen

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@anishsharma We actually just fixed this. Try it out and let us know what you think!

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This solves such a real problem. I've been there - watch a 30 min tutorial and still confused about what to do.

Love that you're making it AI-powered. Quick question - does it work for technical tutorials too? Like coding or design? That's where I think the real value is.

Great product! 😟

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@imraju Thanks Raju! I figured someone else was also living my pain haha. That's a really good use case. Please try it out and see how you find it in those specific use cases, we will test and see how we can improve as well!

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It's a great tool. Highly useful for making notes.

Congrats on the launch 🎉

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@basharath Thank you so much! I'm happy you found it useful

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Wow, for coding tutorials do you also export the code snippets?

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@chilarai That's a really smart feature. Will look into it! Thank you for that!

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How are you handling the context window for 2+ hour podcasts? Do you chunk the transcript and summarize loosely, or are you using a model with a massive context window (like Gemini 1.5/Claude) to keep the thread of the argument intact?

We struggle with this long-context retention problem at SquarePact (analyzing 100+ page contracts), so I’m curious how others prevent the AI from forgetting the first 10 minutes by the time it gets to the end. Good luck @robin_gustafsson!

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@anighojkar Currently we chunk the transcript and summarise loosely. Tweaking all the time though. Good luck to you as well!

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very interesting. would definitely check it out!

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@darsh_vaidya Please do and let me know what you think!

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This is a very impressive feature, especially for students and people who enjoy self-study. Have you considered expanding your pricing options in the future? For example, special prices for students and pupils?

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@diana_mirrorapp Thanks for checking it out! Absolutely, students can have it for free, just let me know!

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Very useful tool, I often found myself needing a bit of info from a video in text format. Plug this into an AI and you can do awesome things :)

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@nightshiftdebug That's exactly right!

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This is easily one of the most practical tools I’ve seen in a while. Everyone learns from YouTube, nobody has time for the fluff.

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@abod_rehman I guess I'm not the only one feeling this way. Thank you for engaging!

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This looks interesting... we indeed, waste a lot of time watching and rewatching tutorial videos and this can be an absolute timesaver.. Good luck on the launch!

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@dkspeaks Thank you for the support! Hope you'll like it

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This is an incredible product. Helps shorten time without loosing quality. Great job Robin. But I'm wondering, Tube Guide has a generic identity - Just a play button icon. Nothing specific or tailored to the brand.

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@charis123 This is correct. I may have to export a guide from YouTube on how to improve brand identity 😁 But in all honesty.

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How does your tool handle tutorials that mix instructions with storytelling or fast screen changes? Does it still manage to pull out accurate step by step actions or are there cases where the structure gets messy?

Wishing you a strong launch today!

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@why_tahir Appreciate you support an comment. We don't extract visuals so it shouldn't be an issue. Please try it on a video like that and let us know the results!

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TubeGuide could save tons of time by generating notes for videos! that is so useful in this fast paced era lol

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@cruise_chen I really hope it can :)

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Wow. A lot more people than I thought seemed to have had this issue, we've got a LOT of new users today so far. Keep trying it, keep writing in the "Feedback" window at the bottom left once logged in. Love it! Such a stupid and silly idea haha. Happy it resonated

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This is really cool. I tested it with a recipe I keep coming back to. Life saver that I could easily copy and paste into Notion. Awesome job

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@nicklas_eriksson123 I'm really glad you found it useful! Let us know if you're missing anything!

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Congrats on the launch. This is actually really useful. As someone who learns a lot from YouTube, having clear step-by-step guides would save a lot of time. I’m definitely going to try this out, looks honestly really promissing.

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@mona_hooshmand I know right?! I am the same type of learner. I hope you will find it as useful as I have. Let us know once you've tried it!

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#4
GLM-4.6V
Open-source multimodal model with native tool use
197
一句话介绍:GLM-4.6V是一款开源多模态模型,通过原生工具调用功能,在复杂智能体工作流(如网页搜索、编程)场景中,实现了从视觉感知到可执行行动的直接转化,解决了传统多模态模型需要额外编排才能操作工具的痛点。
Open Source Artificial Intelligence Development
开源多模态模型 原生工具调用 视觉理解 AI智能体 大上下文窗口 代码生成 视觉交互 函数调用 工作流自动化 计算机视觉
用户评论摘要:用户普遍关注其原生工具调用的实际效果、与GPT-4V/Claude的对比、长上下文任务中的推理一致性以及API定价。正面反馈集中在128k免费上下文、MIT许可证和简洁的UI上,认为其是构建真正AI智能体的变革者。
AI 锐评

GLM-4.6V的宣称亮点在于“原生工具调用”与“128K上下文”的结合,试图将视觉模型从“观察者”升级为“执行者”。这直指当前AI智能体开发的核心桎梏:感知与行动之间的割裂。若其宣称的“自动生成图文交错内容”和“独立处理完整工作流”能稳定实现,确实能显著缩短从想法到功能实现的路径,尤其对开发者而言。

然而,其真正的价值与挑战并存。所谓“原生”,是否意味着工具调用的可靠性、准确性和逻辑链条的连贯性达到了工业级应用水准?评论中关于“多步骤视觉任务一致性”的质疑切中要害。在复杂工作流中,一次错误的工具调用或理解偏差就可能导致整个流程崩溃。此外,尽管拥有128K上下文,但模型如何在长序列中保持对视觉信息与工具调用指令的精准关联与持久推理,仍是待验证的工程难题。

从生态角度看,其开源策略与MIT许可证是明智的差异化竞争手段,旨在吸引开发者和研究者构建生态,对抗闭源巨头的API绑定。但“开源模型”与“可靠的生产级智能体平台”之间存在巨大鸿沟,需要持续的工程迭代、工具生态建设和社区支持。目前来看,GLM-4.6V更像一个颇具潜力的“概念验证”,它指出了多模态模型进化的一个关键方向,但其宣称的“游戏规则改变者”地位,仍需在真实、复杂的任务环境中经受严苛考验,证明其不仅“能调用工具”,更能“正确、高效、可靠地”完成端到端的任务。

查看原始信息
GLM-4.6V
GLM-4.6V is GLM's newest open-source multimodal model with a 128k context window. It features native function calling, bridging visual perception with executable actions for complex agentic workflows like web search and coding.

Hi everyone!

GLM-4.6V is a significant iteration for the GLM multimodal series. It scales the training context window to 128k and hits SOTA visual understanding for its size.

The biggest update here is the native Function Calling. For the first time in the GLM architecture, tool use is integrated directly into the visual model. This effectively bridges the gap from "visual perception" to "executable action."

It can automatically generate high-quality image-text interleaved content and handle complete workflows independently, like viewing products, comparing prices, and generating shopping lists. The frontend replication and visual interaction capabilities are also impressive, which significantly shortens the path from design to code for developers.

Try it on Z.ai or find the open weights on HF.

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@zaczuo So this actually lets the model interact with tools directly? That could save so much back-and-forth

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@zaczuo Curious whether you’ve tested GLM-4.6V on longer agentic tasks that require persistent reasoning across the full 128k context—any early insights?

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Cool! We used Z.ai for our hackathon in Slovakia (actually, they were our main sponsor), so happy to see how they progress even on PH :)

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How consistent is the function calling when handling multi-step visual tasks?

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Native function calling + 128k context is huge. This could be a game changer for building actual AI agents instead of just chatbots.

Big question - how does this compare to Claude or GPT-4V in real-world tasks? Any benchmarks? Also curious about API pricing when it goes live.

Seems like solid work! 🚀

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Wait wait wait ...

It can analyze images and handle tasks for me ? Nice my lazy era has officially begun 😄

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Gave Z.ai a spin on the train. Simple UI, snappy. Rumination mode took a bit but made cleaner steps. 128k context for free is wild. MIT license too. Really want to see how the function calling handles web/code tools. Bookmarking to test a longer task tonight.

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Their progress is amazing and I actually love them now more than I loved ChatGPT when it came out. Somehow ChatGPT, even hough they improved GPT models seem to stagnate whereas Z.ai really shines with their Open Source releases. (Which also shows that OpenAI should actually have stayed open, I am pretty sure they would rock the generative AI world by now)

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#5
Kortex
Organize, import + export NotebookLM sources with a click
164
一句话介绍:Kortex是一款浏览器扩展,作为AI聊天工具(如ChatGPT、Claude)与知识库应用NotebookLM之间的集成层,通过一键导入/导出和精准内容抓取,解决了用户在整理和迁移AI对话内容时流程繁琐、数据封闭的痛点。
Productivity User Experience Education GitHub
浏览器扩展 AI生产力工具 知识管理 数据迁移 NotebookLM生态 一键归档 Markdown导出 内容抓取 信息集成 第二大脑
用户评论摘要:用户肯定其填补了NotebookLM导出等功能短板的价值,并关注其扩展性(支持更多AI源和自定义目标)、技术细节(大文档处理、防AI幻觉、格式保留)以及长期差异化优势(与普通网页剪辑器的区别)。
AI 锐评

Kortex聪明地扮演了一个“填缝者”角色。其真正价值不在于技术颠覆,而在于精准地捕捉并产品化了一个新兴的、转瞬即逝的生态位需求:在如NotebookLM这类功能强大但初期开放度不足的“围墙花园”式AI应用,与主流但数据封闭的通用AI聊天界面之间,搭建一座轻量级的数据桥梁。

产品介绍中强调的“Native LLM Archiving”和“数据自由”(批量导出Markdown),直击了当前AI工作流的核心矛盾:生成内容易,沉淀和复用难。用户被困在多个平台的会话历史中,无法有效构建个人知识体系。Kortex试图将碎片化的AI对话,转化为结构化的知识资产。

然而,其面临的挑战同样尖锐。首先,护城河太浅。其功能严重依赖上游平台(NotebookLM及各大聊天机器人)的界面稳定性,一个官方API或功能的更新就可能使其核心功能归零。评论中关于“支持其他目的地”和“网页版”的提问,正点出了其生存焦虑——必须快速扩展,从“NotebookLM专用插件”升级为“AI数据通用管道”。

其次,“精准抓取”体验与“防幻觉”需求存在深层张力。当它从AI聊天中抓取特定文本块时,这些内容本身可能已是AI生成的、需要被核实的“二手信息”,这与处理源文档有本质区别。这使其“保真度”更多体现在格式还原上,而非信息可信度。

长远看,Kortex的出路在于从“工具”走向“协议”。它不应止步于做一个好用的剪辑器,而应思考如何定义AI内容归档的元数据标准,成为用户“第二大脑”的数据摄入中枢。否则,一旦巨头们稍加关注此需求并内置类似功能,它便极易被取代。它的当前成功,是敏捷生态位创新的典范;它的未来,则取决于能否在巨头转身前,建立起不可替代的数据处理逻辑与用户习惯绑定。

查看原始信息
Kortex
Most extensions are basic web clippers. Kortex acts as an integration layer, bridging active AI chats with NotebookLM storage. Its standout features include Native LLM Archiving, which adds a one-click import button directly inside ChatGPT, Claude, and Gemini. Unlike others, we focus on data freedom with bulk exports to Markdown, and precision sniping to save specific text blocks rather than whole messy webpages.
NotebookLM has great features, but it is still lagging in many aspects like letting the users download the chat, particular responses, or even the studio notes. Kortex helps user to export these things easily. Also, you can import your LLM chats directly to notebookLM by clicking only one button. Kortex also offers many features along with these above.
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Any plans to support custom destinations beyond NotebookLM?

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@abod_rehman Do you have anything in mind? It might me a good idea to expand beyond NBLM.

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Congrats on the launch! The 'Chat with PDFs' feature is crucial for a second brain app.

I’m curious, how are you handling the context retrieval for larger documents? Do you have a way to prevent the AI from hallucinating details not found in the source text? I’m tackling this exact challenge right now with my own tool (SquarePact) for legal contract review, so I'm always interested in how other makers ensure high-fidelity retrieval.

Excited to try out the new workflows!

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NotebookLM is powerful but there are still those tiny good-to-have features that we usually miss.... and Kortex seems to be bridging that gap... Interesting...

Best luck on the launch!

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Smart move. NotebookLM is great but feels incomplete without easy export. Building on top is the play.

Question - does it work with other AI chat sources too? Or just NotebookLM for now? Also, any plans for a web version instead of just chrome extension?

Clean product! 🙋

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Quite amazing. Do you also preserve the text formatting of the chat generated by LLMs?

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Clean concept. But what’s the real edge here — is it the native LLM archiving or the precision-sniping workflow? Also, how do you handle formatting consistency when clipping AI chats, and what stops this from becoming just another fancy web clipper? Curious how Kortex stays genuinely differentiated long-term

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#6
Lyria Camera by Google DeepMind
Turn your camera into a musical instrument
147
一句话介绍:一款由Google DeepMind开发的APP,通过摄像头捕捉环境画面,并实时生成与之匹配的动态背景音乐,将日常场景转化为沉浸式的视听体验,解决了用户渴望轻松创作个性化氛围音乐的痛点。
Music Photography Artificial Intelligence
AI音乐生成 实时视觉识别 多模态AI 创意工具 沉浸式体验 Google DeepMind 环境配乐 互动艺术 创意表达
用户评论摘要:评论普遍表达了对新颖概念的兴奋与赞赏,认为其展现了多模态创意的未来。有效反馈包括:询问应用下载链接(已由团队回复提供),以及提出能否反向将音乐与灯光控制系统结合的创意建议。
AI 锐评

Lyria Camera并非一款简单的滤镜或音乐播放器,其核心价值在于将Google两大尖端技术——Gemini的多模态视觉理解与Lyria RealTime的实时音乐生成——进行了轻量化、场景化的封装与落地。它本质上是一个“环境-音乐”的实时转译系统,其真正颠覆性在于降低了AI驱动的艺术创作门槛,将生成过程从“提示词工程”变为更直觉的“物理世界交互”。

然而,其当前形态更像一个精美的技术演示(Tech Demo),而非成熟产品。从评论中用户急切寻找下载链接即可看出,其发布渠道(Google AI Studio)仍偏向开发者与实验者,离大众市场尚有距离。用户提出的“音乐反向控制灯光”的建议,恰恰点出了其更大的潜力:它不应止于一个封闭的视听玩具,而应成为一个开放的、可编程的“感知-生成”中间件。其未来价值在于API化,赋能游戏、现场演出、AR/VR乃至疗愈等领域,实现动态环境的实时音频渲染。

目前来看,Lyria Camera是Google展示其AI在创意领域实时协同能力的一次华丽亮相,但能否从“惊艳的玩具”进化为“生产力工具”或“创意平台”,取决于其后续的开放程度与生态构建。它揭示了AI不再仅是内容生成器,而是可以成为连接物理世界与数字表达的“感知性乐器”这一未来方向。

查看原始信息
Lyria Camera by Google DeepMind
Lyria Camera turns your surroundings into a live soundtrack. Using Gemini’s visual understanding and the Lyria RealTime API, it transforms what your camera sees into evolving music that matches your mood and movement turning every moment into an immersive audiovisual experience.
Excited to share Lyria Camera! Аn app that turns your camera into a live musical instrument. It uses Gemini to interpret what you see and Lyria RealTime to compose music that evolves with your surroundings. A beautiful glimpse into the future of multimodal creativity.
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This is something new I got to know, out of the box concept. congrats on the launch. 🎉
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This is lovely. But where is the link to your app?

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Stunning. :) I'm super curious if this can go the other way around, connect music + camera to DMX controllers and light up a stage. Awesome work! Upvoted!

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#7
Cosmic AI Agents
Autonomous AI that builds, writes, and ships for you.
143
一句话介绍:Cosmic AI Agents是一款自主AI助手平台,通过代码代理自动构建功能、修复Bug并生成内容,帮助开发者和内容团队自动化处理重复性任务,从而聚焦于核心创新工作。
API Developer Tools Artificial Intelligence
AI智能体 自动化开发 代码生成 内容生成 GitHub集成 工作流自动化 自主代理 软件开发 生产力工具 SaaS
用户评论摘要:用户主要关注代码生成的结构规范性、任务冲突处理、GitHub集成流程的清晰度以及新用户上手的易用性。开发者担忧AI输出代码的可靠性与可维护性,团队则询问大规模协作时的管理机制。产品方回应将遵循最佳实践并强调人工审核环节。
AI 锐评

Cosmic AI Agents的野心在于构建一个“AI劳动力”的中控系统,其核心价值并非简单的代码或内容生成,而是试图将AI代理转化为可调度、可管理、具备标准化工作流的数字员工。产品将“隔离分支”和“人工审核PR”作为安全护栏,是明智之举,这在一定程度上缓解了开发者对“黑箱自动化”的信任焦虑。

然而,其真正的挑战在于“可靠性”与“可预测性”。首条高赞评论一针见血:AI生成的代码结构是否遵循最佳实践,还是会埋下“意大利面条式”逻辑的隐患?这直接关系到产品能否从“有趣的实验”升级为“可信的生产力工具”。目前看来,它更像是一个能力增强型的自动化脚本运行器,而非具备深度理解和系统架构能力的“同事”。

此外,产品将“代码代理”与“内容代理”分而治之,显示了清晰的场景切割,但两者在底层是否共享同一套指令理解与任务分解引擎?若否,则可能沦为两个独立工具的简单拼接;若是,则如何保证在不同领域输出的专业度?评论中提到的“冲突指令处理”问题,正是规模化应用时必须解决的协调难题。

总体而言,这是一款踩在AI应用浪潮正确方向上的产品,它抓住了“自动化执行层”的痛点。但其长期成功不取决于“能做什么”,而取决于“做出来的东西质量是否稳定可控”。它需要证明自己不是另一个制造技术债的快捷方式,而是能理解和融入现有工程与内容规范的智能伙伴。前方的道路在于持续的模型微调、领域知识灌输以及异常复杂的任务编排逻辑的打磨。

查看原始信息
Cosmic AI Agents
Autonomous AI assistants that build features, fix bugs, and generate content for you. Give your agent instructions, and let it work in the background to build and optimize your application and content. Code agents create isolated branches and PRs. Content agents generate drafts matching your style. Schedule recurring tasks or run on-demand. Mission control for your AI workforce.

Okay, I was ready to roll my eyes at another "AI builds everything for you" promise but the schema generation here is actually slick.

I’m curious though, when the agent 'ships' for you, how opinionated is the code structure? Does it stick to standard Next.js patterns, or am I going to find some spaghetti logic in the API routes later?

I fight this battle daily with SquarePact, so I know how hard it is to get consistent structured outputs. If you nailed the reliability here, that's a massive win. Good luck @tonyspiro!

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@anighojkar We have some good direction here for the agents to use the latest versions and opinionated design / engineering principles.

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Hey Product Hunt! We're excited to share Cosmic AI Agents - autonomous AI assistants that build features, fix bugs, generate content, and automate workflows while you focus on what matters most.

What are AI Agents?

AI Agents work independently in the background to handle development and content tasks. Set up an agent with instructions, and it gets to work - no supervision required.

Two Types of Agents:

🔧 Code Agents - Connect to GitHub repositories, work in isolated branches, and create pull requests when done. Perfect for building features, fixing bugs, updating dependencies, and generating documentation.

📝 Content Agents - Generate and manage CMS content at scale. They analyze your existing content to match your tone and create drafts for review. Ideal for blog posts, product descriptions, and content campaigns.

Key Features

- Unified AI Agents Hub - Mission control for your AI workforce with real-time status updates
- Isolated Branch Workflow - Each code agent works on its own branch, preventing conflicts during parallel execution
- Scheduled Automation - Run agents hourly, daily, weekly, or monthly (Starter plan+)
- Progressive Discovery - Agents intelligently explore external links for context
- Email Notifications - Get AI-generated summaries when agents complete tasks
- Saved Prompts - Reuse your best prompts with one click

Why We Built This

Development teams spend countless hours on repetitive tasks - writing boilerplate code, updating dependencies, generating content, and maintaining documentation. We wanted to give teams an AI workforce that handles these tasks autonomously, so developers can focus on solving complex problems.

AI Agents is currently in Beta and available now. We'd love to hear your thoughts and feedback!

Learn more: https://www.cosmicjs.com/blog/in...

What tasks would you automate with AI Agents? Drop a comment below! 👇

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@tonyspiro Wondering how it handles conflicting instructions or overlapping tasks between agents. Could get tricky at scale

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@tonyspiro 

This looks awesome — love how you’ve separated Code Agents and Content Agents into clear, purpose-built workflows. The isolated branch approach for code is especially smart; parallel automation usually gets messy fast, so having agents work safely in their own branches is a huge win. The unified hub idea also makes it much easier to keep track of what’s happening without babysitting every task.

It’s exciting to see how fast AI execution layers are evolving. I’ve been brushing up on some foundational AI/Deep Learning concepts lately through resources like the ones at iCertGlobal (https://www.icertglobal.com/new-technologies/artificial-intelligence-and-deep-learning), and products like Cosmic AI Agents show exactly how those fundamentals turn into real, scalable automation.

Congrats on the launch — can’t wait to see how teams start using this in real workflows!

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Im a newbie on the AI build app world and Im trying several. Yours appears to be more set up upfront which may yield better results later....But I got lost in the lack of logical steps flow. In other words...I cant get it to generate. Just left myself hanging. It may be entirely on my end. But the key is too make it dummy proof to increase adoption. Looking forward to seeing more :)

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@bill_x Great feedback. I'm on the Cosmic team, and I just sent you an email to find a time to connect and get that roadblock taken care of for you!

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"Code agents create isolated branches and PRs" - How does this work? whats the flow?

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@conduit_design The workflow is familiar: It connects to your GitHub account (or shared account) through the Cosmic dashboard and creates a repository. Then creates branches and PRs on your behalf.

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How do code agents integrate with GitHub/GitLab and CI/CD—do they run tests and require human approval before merging PRs? Any guardrails for secrets/env access?

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@anna_h_ng The agents create the PRs then a human approves / merges. If new env vars are needed, it requires them in a pending operation. There are security best practices in place for separating code from secrets.

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#8
SidePanel Buddy
Open any website in chrome side panel
134
一句话介绍:SidePanel Buddy 是一款Chrome扩展,通过在侧边栏固定并自动保存网页浏览会话,解决了用户在多任务处理时频繁切换标签页导致上下文丢失的核心痛点。
Chrome Extensions Productivity Education
浏览器扩展 侧边栏工具 生产力工具 会话持久化 多任务浏览 Chrome插件 网页固定 搜索引擎切换 效率工具
用户评论摘要:用户高度评价其“自动保存会话”的核心功能,认为其实用性强。主要技术疑问在于如何绕过网站对iframe嵌入的限制(如X-Frame-Options),开发者回应使用了Chrome API进行头部修改,但对有强力Bot防护的网站无效。另有用户询问其与Chrome原生多视图功能的差异,开发者强调其核心优势在于真正的会话持久化。
AI 锐评

SidePanel Buddy 捕捉到了一个被主流浏览器长期忽视的细微痛点:临时性、参考性网页浏览的状态丢失问题。其宣称的“True session persistence”是产品的真正护城河,它并非简单的书签或历史记录,而是试图将侧边栏模拟成一个独立的、有状态的浏览容器,这比Chrome正在实验的原生多视图功能在“状态保持”上走得更远。

然而,其技术实现路径暗含风险与局限。依赖 declarativeNetRequest API 修改响应头以绕过安全策略(如X-Frame-Options、CSP),本质上是与网站安全策略对抗。这不仅可能随着浏览器安全政策的收紧而失效,更可能在法律和道德层面面临挑战,特别是处理敏感信息时。开发者坦承的“works for most sites”策略,意味着产品体验是脆弱且不稳定的,高度依赖目标网站的“宽容度”。

从产品演化角度看,它更像是一个“功能原型”,其核心创意价值在于向浏览器厂商证明了用户对“持久化侧边栏”的强烈需求。一旦Chrome或其他浏览器将类似状态保存功能深度集成到原生多视图中,此类扩展的生存空间将被急剧压缩。其附加的搜索引擎切换等功能,属于低壁垒的增量价值。

因此,SidePanel Buddy 的长期价值不在于其当前的技术实现,而在于它精准定义并验证了一个细分场景的需求。对于开发者而言,最大的机会或许是快速迭代,将“状态保持”这一核心能力抽象成更通用、更合规的解决方案,或寻求被浏览器生态整合的可能。在当前阶段,它是一个出色的痛点验证者和临时解决方案,但并非一个稳固的技术产品。

查看原始信息
SidePanel Buddy
Browse any website in Chrome's side panel alongside your main tab. Your browsing session stays exactly where you left it. Unlike other side panel browsers, SidePanel Buddy automatically saves your last visited page - close the panel, switch tabs, or even restart Chrome, and your page will be right there waiting when you return. Choose your favorite search engine. Quickly switch between Google, Bing, Brave Search, Ecosia, or Yahoo directly from the side panel.

Auto-save is such a small detail, but incredibly useful. Love it!

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@zhiqi_shi Thank you! Really appreciate it

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How are you handling the dreaded X-Frame-Options / CSP headers? I know a ton of major sites (GitHub, Notion, etc.) explicitly block being loaded in iframes or side panels. Did you find a workaround to proxy them, or is it a 'works where it works' situation?

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@anighojkar Great question! I use Chrome's declarativeNetRequest API to strip X-Frame-Options and CSP headers from response headers. This allows most sites, including GitHub and Notion to load successfully in the side panel.

That said, it's not 100% bulletproof. Sites with aggressive bot protection (like Cloudflare challenges) won't pass verification inside the iframe. And ironically, the Chrome Web Store itself blocks embedding regardless of header stripping.

So yes, it's a "works for most sites" situation, but in practice, the vast majority of sites people actually want to browse (social media, docs, news, dev tools) work great.

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Simple idea but it works! Great job.

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@john_licato Thank you! Really appreciate it

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Hey Product Hunt! 👋

SidePanel Buddy solves a problem every Chrome user faces:

"Losing your place when you need to quickly reference something."

🎯 The main feature that sets us apart: True session persistence. Unlike other side panel tools, your browsing session automatically saves - close the panel, switch tabs, restart Chrome, and your page is still there waiting. No more losing that important article or reference page you had open.

Perfect for:

Researchers keeping references visible while writing

Shoppers comparing products side-by-side

Anyone following tutorials while working

Multitaskers who need multiple views without tab chaos

Plus: Multiple search engines (Google, Bing, Brave, Ecosia, Yahoo), drag & drop links, dark mode, and a clean interface that stays out of your way.

Also check out my other free Chrome tools 👇

  • Email Buttons - Turn email links into buttons that get clicked

  • SEO Copilot - Instant on-page SEO analysis in your side panel

Would love to hear your feedback and answer any questions! 🚀

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@zack_ho So if I close Chrome and reopen, everything’s exactly where I left it? Even multiple panels open at once?

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Session persistence is the killer bit. I always pin a wiki or Notion in the side and Chrome forgets it after a restart. If this keeps the page right where I left it, that's a win. Bonus points for quick search switch + dark mode. Installing to try today.

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@alexcloudstar Thanks so much. Hope it works great for you! Let me know what you think after trying it out 🙌

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This solves the constant switching between a Chrome tab and another companion page or, tool where either you are writing something or, doing a comparative evaluation... I particularly loved that option to research and write on Medium...

Good luck on the launch!

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@dkspeaks Thank you!

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Wow, this is amazing.

But Google has started to roll out multiple views on Chrome. How is it different and adding value?

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@chilarai I actually built this before Google started rolling out multiple views, so there is definitely some overlap now. The big difference is still the true session persistence, where your last page always comes back exactly where you left it. Also, SidePanel Buddy adds conveniences like quick search engine switching, which some people find it useful. Anyway, appreciate you giving it a look. Cheers!

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#9
EpsteinGPT
ChatGPT connected to the Epstein Files
129
一句话介绍:一款基于爱泼斯坦文件数据库构建的专用AI搜索工具,在调查研究和信息挖掘场景下,帮助用户快速从海量解密文件中定位关键信息。
Politics Software Engineering Artificial Intelligence
AI搜索工具 文件分析 数据库查询 爱泼斯坦文件 信息检索 深度学习 新闻调查 数据挖掘 概念验证 网络应用
用户评论摘要:用户主要关注技术实现细节(开发时长、向量数据库选择)和内容有效性(文件是否大量匿名、如何发现未公开信息、搜索提示建议),开发者回应积极,但未提供实质性发现案例。
AI 锐评

EpsteinGPT本质上是一个蹭热点事件(爱泼斯坦文件解密)和热点技术(生成式AI)的快速概念验证产品。其核心价值并非技术创新,而在于以极低成本将两个高流量话题粗暴结合,制造传播噱头。

从产品介绍中“speedrun a meme website”的自我定位即可窥见,开发者的首要目的并非构建一个严肃的调查工具,而是快速完成一个具有话题性的“梗”产品。其技术栈(连接现有大模型与文档数据库)已高度模块化和普及,并无门槛。真正的挑战在于文件处理的质量:如何对大量可能经过编辑、格式混乱的PDF或图片进行高质量的OCR、实体识别和结构化,这直接决定了AI回答的可靠性。而评论区的核心质疑恰恰在此——文件中的大量匿名化处理是否导致AI只能输出“无信息”的结论?开发者避而不谈具体发现,更佐证了其作为“玩具”而非“工具”的属性。

在价值层面,该产品揭示了当前AI应用的一个浮躁切面:过度追求“连接一切”的速成概念,而忽视数据质量、伦理边界与实际效用。爱泼斯坦文件涉及大量敏感、未经证实的指控与隐私信息,将其简单接入一个黑盒AI进行“趣味”问答,可能带来事实扭曲、二次伤害和法律风险。它更像一个吸引点击的数字奇观,其短暂的生命周期大概率将随着公众兴趣的消退而终结,难以对严肃的调查工作产生实质助益。

查看原始信息
EpsteinGPT
I connected the Epstein files to a deep learning AI researcher. As many of you know, the Epstein files were released a few weeks ago, with over 20,000 individual text and image documents. When I saw this, I thought it would be fun to purchase a domain and speedrun a meme website that connects the Epstein files to an AI agent built specifically for searching the files and finding information.

Your fun project is awesome.
How many days did you take to build this? Also, what VectorDB did you use?

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Feel free to ask me any questions and I'm happy to answer!
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@ryankashi any compelling or interesting discoveries that haven’t been widely reported on? What prompts do you suggest?
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Are there any known names in the files or are they all redacted which would then make your AI say that there are no known name in it? How do you handle this?

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#10
Kerno
Testing Co-Pilot for Backend Engineers
128
一句话介绍:Kerno是一款IDE集成的AI测试副驾驶,为后端工程师自动化生成、执行和维护集成测试,在AI原生开发流程中解决手动测试低效、反馈周期长的痛点。
Software Engineering Developer Tools Artificial Intelligence
测试自动化 AI辅助开发 集成测试 IDE插件 后端工程 代码审计 测试生成 开发效率 持续测试 智能测试
用户评论摘要:用户认可IDE内测试带来的体验变革,赞赏其定价策略。核心关注点在于产品对复杂遗留系统(如混乱数据库模式)的兼容性、对微服务依赖关系的梳理能力,以及对运行时性能开销的担忧。
AI 锐评

Kerno的叙事巧妙地将自己锚定在“AI原生工作流”的必然演进路径上,其真正价值不在于“生成测试”,而在于构建一个实时、闭环的**行为一致性审计系统**。它试图解决的深层矛盾是:AI代码生成的速度与人类信任建立速度之间的巨大断层。产品将测试从“提交后的质量关卡”前置为“编码时的实时副驾驶”,这不仅是效率提升,更是范式转移。

然而,其宣称的“理解代码库”、“自动修复测试”在复杂现实面前面临严峻考验。用户评论中的“混乱的遗留DB模式”和“微服务犯罪现场”恰恰点中了要害:AI理解清晰规范代码不难,难在消化人类多年累积的“技术债”和隐式契约。其“上下文感知测试生成”的能力边界,将直接决定它是仅适用于绿地项目的玩具,还是能改造棕地系统的利器。

另一个关键风险是“透明度过载”。在IDE内全自动运行测试并报告问题,固然缩短反馈循环,但也可能打断开发心流,成为新型“警报疲劳”的来源。此外,其依赖图谱构建与实时测试执行所带来的资源开销(用户已敏锐提及),在大型项目中的表现仍是未知数。

本质上,Kerno售卖的不是测试用例,而是“在AI编码时代的速度与信心之间的平衡”。如果它能稳健处理边缘案例,将可能成为AI辅助开发基础设施的关键一环;若不能,则可能只是另一个在简单场景有效、在复杂现实中失灵的“AI神话”。其成功与否,不取决于AI生成测试的炫技,而取决于工程上的深度、对系统复杂性的敬畏,以及最终为用户节省的、远超其引入的认知负担与性能成本的时间。

查看原始信息
Kerno
Never manually write, or and maintain backend tests again! Kerno automates integration testing end-to-end inside your IDE. It understands your codebase, generates meaningful tests, spins up test environments, executes tests, and delivers instant audit reports to catch issues early, validate changes before committing your code. Use Kerno to: → Catch breaking changes at source → Augment current Code-Gen loops with test data → Audit AI generated code in real-time → Increase test coverage

Hey PH 👋

Firstly, we want to say sorry to all the developers who enjoy writing, running and maintaining tests. 😅

Manual Integration Testing is an antipattern in AI native workflows.
While AI is helpful to do rapid prototyping or boilerplate tasks, we still do not trust it to do the most crucial parts of coding without testing or audits. Code generation moves at speed, but testing and auditing are still slow, manual, inconsistent, and even then, the feedback cycle from issue to fix takes hours.

The New Era of Testing
Kerno AI fully accelerates the entire workflow for integration testing, providing an audit of behavior changes introduced by new and AI generated code, in seconds, without leaving the IDE.

Developers use Kerno to:
→ Catch breaking changes at source
→ Augment current Code Gen loops with test data
→ Audit AI generated code in real time
→ Increase test coverage

Testing Should be an Experience Designed to Flow
✅ IDE native – Run tests inside your IDE and get results in seconds without waiting on CI.

✅ Context aware test generation – Kerno creates a detailed graph mapping every piece of code, dependency and business logic to understand how everything fits together and generate high quality tests.

✅ Test execution – When you make a code change, Kerno autonomously spins up real dependencies, runs, and updates tests, and detects behavioural and logical changes in your app.

✅ Maintenance – As your codebase evolves, Kerno automatically self-heals, adds and remove tests to ensuring your test suite never drifts out of sync.

You spec. AI Builds. Kerno Validates. Ship software with confidence.

Get started for free today at Kerno.io. (Get 50% off your first month with code PH50)

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@karim_traiaia Running tests inside the IDE feels like such a small change, but it could completely change the dev experience.

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Great pricing presentation - very original and powerful!

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Thx @osakasaul :D

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Spent too many mornings chasing flaky API tests and waiting on CI. If Kerno can spin up deps in-IDE and self-heal, that’d be nice. Gonna try it on a small Go service first. Curious how it handles messy legacy DB schemas.

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@alexcloudstar 

"Curious how it handles messy legacy DB schemas." I'm curious too 😅

Please give it a try and let me. I'm actively gathering different edge cases to improve things.

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My microservices architecture looks less like a map and more like a crime scene right now.

If Kerno can actually untangle the relationships between my legacy code and the AI agents trying to fix it, that's witchcraft.

Technical Q: How much overhead does the agent/telemetry add? I’m paranoid about observability tools slowing down the very thing they are supposed to be watching. (We have to be super light with our own tracking at SquarePact, so I feel the pain). Congrats on the launch @karim_traiaia!

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#11
thefrontkit
Design + Code UI kits for AI & SaaS
126
一句话介绍:为AI与SaaS应用提供“设计+代码”一体化的生产级UI套件,解决开发者从零搭建复杂、合规且美观的前端界面时,重复劳动、设计不一致和合规焦虑的痛点。
Design Tools Developer Tools Artificial Intelligence
UI套件 设计系统 前端模板 AI界面 SaaS后台 无障碍合规 Next.js Tailwind CSS Figma 生产就绪
用户评论摘要:用户肯定其完整性与节省开发时间。主要反馈与建议包括:1. 关注企业采购中的“合规焦虑”痛点,建议强化“合规就绪基础设施”叙事。2. 询问Figma与代码的同步深度及是否支持Claude MCP。3. 确认计费逻辑需自行对接后端,并关注AI流式响应等组件深度。
AI 锐评

thefrontkit的野心,远不止于售卖另一个漂亮的UI套件。它精准地切入了一个新兴的、充满摩擦的市场缝隙:在AI应用爆炸和SaaS红海化的当下,开发者与创业公司的核心矛盾,从“能否实现功能”转向了“能否快速交付一个体验专业、流程完整且合规风险可控的产品界面”。它的真正价值,在于试图将“生产就绪”标准化。

产品将“设计”与“代码”捆绑销售,并提供“可运行的示例”,这直接攻击了传统工作流中设计到开发的巨大损耗与失真。其标榜的“Token驱动主题”和“开箱即用的无障碍(WCAG-AA)”,则是对准了企业级采购中日益关键的品牌一致性与合规审计门槛。一条用户评论犀利地指出,对于决策者(如CTO),“速度”的吸引力可能不如“焦虑缓解”——即确保产品能通过严苛的采购与合规审查。thefrontkit内置的“合规收据”功能,正是对这一痛点的预判性回应,这使其从“效率工具”升维成了“风险缓解工具”。

然而,其挑战也同样明显。首先,“设计-代码”的深度同步承诺在复杂修改面前依然脆弱,官方回复也承认“深度更改不会自动同步”,这仍是理想与现实的差距。其次,在AI套件中缺乏真正的流式UI组件,暴露了其“AI-Ready”标签在当前阶段的不完全性,追赶AI交互范式快速迭代的速度将是持续考验。最后,其定价策略和“套件”模式,需要持续证明自己相对于组合使用Shadcn/ui等免费/开源生态的集成优势。

总而言之,thefrontkit的价值定位是敏锐且具前瞻性的。它不是在卖组件,而是在销售“时间、合规性与专业度的确定性”。它的成功与否,将取决于能否在快速演进的AI交互领域持续提供深度、而非表面的“生产就绪”模式,以及能否真正赢得那些被“合规焦虑”所驱动的企业级客户的信任。

查看原始信息
thefrontkit
thefrontkit = Design + Code UI kits that feel like a real app, not a mock. Token-driven theming, accessibility out of the box, and runnable Next.js + Tailwind examples. Launching two Full kits: AI UX (prompt→streaming→citations→feedback→upload→export) and SaaS Starter (auth, dashboard, tables, forms, settings). Built to ship, not tinker.

Forms, tables, dashboards — everything feels coherent. I can ship prototypes much faster now

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@tim_david22 Exactly :)

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Hey PH! 👋 I’m GG, maker of thefrontkit.

We built this so you start from a production app shell, not stitched components.

WHAT’S INSIDE (LAUNCH)
• AI UX Kit (Full = Design + Code): Prompt → streaming (Stop/Retry) → citations → feedback → upload → export
• SaaS Starter Kit (Full = Design + Code): Auth, dashboard, tables, forms, settings, billing stubs
• Token-driven themes (light/dark) + accessibility by default
• Runnable examples (Next.js + Tailwind) + editable Figma

FOUNDING PRICE (25% OFF)
• AI UX Kit (Full): $149
• SaaS Starter Kit (Full): $249

TELL US WHAT YOU WANT NEXT
• Which patterns you want next (AI or SaaS)
• Any rough edges in the pricing/checkout
• What would make this instantly useful to you

If you’re building something, drop a link—happy to cheer you on. 🚀

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@greedy_reader do you have MCP for claude desktop
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@greedy_reader So if I tweak the Figma design, does it sync back to the code easily?

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@masump You can sync minimal changes from Figma, but it really depends on what level of changes you're making. Tiny UI tweaks reflect easily, but anything deeper won’t auto-sync- you’ll handle those directly in code. The good part: the codebase is very easy to customize. Plus, each kit comes with a bunch of pre-built recipes and flows that you can plug in instantly-so extending or modifying things becomes super straightforward.
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Congrats on the launch! The focus on WCAG-AA 'receipts' and evidence reports looks super useful for teams trying to close B2B deals.

The positioning captures the 'Speed' angle well, but I think it misses the 'Anxiety' angle that actually drives enterprise adoption. For a CTO, the 'Gain' (shipping faster) is often less powerful than the 'Pain Relief' (passing procurement and accessibility audits). If you flip the narrative to lead with 'Compliance-Ready Infrastructure' rather than just 'UI Kits,' you effectively de-risk the purchase for larger organisations immediately.

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@anastasiia_tilinina This is a great point. Speed gets attention, but anxiety around audits is what actually closes enterprise deals. That’s exactly why we ship WCAG-AA receipts and evidence-ready patterns. We’re gradually leaning more toward a “compliance-ready infrastructure” narrative for each kit we are providing, and your comment really reinforces that direction.
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Looks solid. Tired of stitching shadcn + auth + tables every project. The AI flow w/ stop/retry + citations is the bit I never finish. Curious how deep the billing stubs go. If tokens are easy to tweak to our brand, this might save a weekend on my side project.

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@alexcloudstar thefrontkit provides the complete UI templates- all screens, flows, and components - but we intentionally don’t include backend billing logic. So it’s frontend-ready, and you can wire it up to Stripe/Lemon Squeezy/Paddle however you prefer. Tokens are fully customizable, so you can adapt everything to your brand very quickly. The idea is to save you the repetitive UI + flow setup, while keeping the integration side flexible.
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Congrats on the launch @greedy_reader! The focus on 'AI-ready' components caught my eye.

Do you have specific pre-built components for streaming text or thinking states? I’m building an AI compliance tool (SquarePact), and I’ve found that standard UI kits often lack good patterns for showing live AI generation without it looking jerky.

Would love to know if you're planning more agentic UI patterns in the future.

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@anighojkar Thanks so much! Right now, we don’t have true streaming components yet - the responses render once the message is generated, with a clean loading state in between (you can see this in the demo). We are actively working on more agentic and AI-focused patterns, richer AI-ready components are definitely coming soon, and you can absolutely consider FrontKit for your project.
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#12
WarpGrep
Remove context rot + improve code search
121
一句话介绍:WarpGrep是一款通过强化学习优化代码检索的AI编程副驾驶子代理,在长周期编码任务中,能显著减少AI代理在代码库中的无效搜索耗时,提升整体编码效率。
Text Editors Artificial Intelligence
AI编程助手 代码检索优化 强化学习 上下文管理 开发效率工具 智能代码搜索 AI代理基础设施 MCP协议 语义搜索 代码库理解
用户评论摘要:用户普遍认可其解决AI代理“搜索慢”核心痛点的价值,认为它是关键基础设施。具体反馈包括:建议增加文件级性能调试日志;询问项目级与文件级上下文处理细节;指出官网博客链接不可点击的技术问题。
AI 锐评

WarpGrep的发布,看似是又一个“AI+代码搜索”工具,实则精准地刺入了当前AI编程代理繁荣表象下的一个结构性软肋:上下文检索的盲目性与低效。产品介绍与高赞评论一针见血地指出,AI代理的瓶颈往往不在“思考”速度,而在“寻找”过程——它们像无头苍蝇一样在代码库中浪费大量计算预算与时间,导致响应迟滞、幻觉频出。

其真正的颠覆性在于,它没有停留在简单的语义搜索包装层面,而是将“上下文检索”本身构建为一个独立的、用强化学习训练的子系统。这相当于为AI代理配备了一个经过专项训练、拥有严格“回合预算”和并行搜索能力的“专业导航员”。高达70%的上下文腐化减少和40%的任务加速,其本质是大幅降低了AI代理的认知负荷与决策熵,使其能将有限的注意力集中在真正的代码生成与推理上。

然而,其成功高度依赖于与主流AI编码代理(Claude Code、Codex等)及MCP协议的深度集成,生态位绑定明显。它解决的“搜索慢”问题,是否会随着基础模型上下文窗口的持续扩大和原生代码理解能力的增强而被部分削弱,是一个值得观察的长期挑战。目前来看,WarpGrep是AI代理栈专业化、分层化趋势下的一个典型产物,它标志着AI开发工具正从“功能大而全”的单一代理,向“各司其职”的模块化、专业化协作系统演进。它的价值不在于炫技,而在于让整个AI辅助编程的体验从“可用的实验品”向“可依赖的流水线”迈出了扎实的一步。

查看原始信息
WarpGrep
Introducing WarpGrep, a fast context subagent that improves coding agent performance. WarpGrep speeds up coding tasks 40% and reduces context rot by 70% on long horizon tasks by treating context retrieval as its own RL trained system. Inspired by Cognition’s SWE-Grep - we’re opening access to Claude Code, Codex, OpenCode or any coding agent via MCP (or through our SDK)
WarpGrep is one of those upgrades that feels obvious in hindsight: coding agents aren’t slow because they “reason slowly,” they’re slow because they waste most of their budget stumbling around the repo. Fix search and suddenly the whole agent stack wakes up. What Morph shipped here isn’t another semantic search wrapper. It’s a purpose-built, inference-optimized subagent that treats context retrieval as a first-class RL problem. Parallel grep calls, strict turn budgets, heavy prefill, and an engine trained to keep recall high without drowning models in junk. The result is simple: agents stop hallucinating irrelevant files, stay inside the task boundary, and get 40 percent faster in real workflows. If you’re building anything agentic, this is the layer that quietly decides whether your product feels instant or unusable. SWE-Grep proved the concept, WarpGrep makes it accessible across Claude Code, Codex, OpenCode, and anything MCP-compatible.
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@morphllm A small log showing which files slow the agent down would be super handy for debugging.

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4500+ tokens/sec is fast! I've been looking for something that handles the 'merge' step better than the standard cursor-style diffs.

Question for you: Does Morph maintain a context of the full project structure when applying these edits, or is it strictly file-level? I’m tackling some similar context-window challenges with my own tool (SquarePact) for legal docs, so I'm always interested in how others handle large-context merges.

Good luck with the launch today!

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This is really amazing. Would love to try it out

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"It's a bit unintuitive why you would need an apply model - read more about it on our blog: https://morphllm.com/blog" - this isn't clickable in your website.

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This will be a big part of killing the hickup feeling when we're on a dev roll. Well done!

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#13
taag.app
Share all product links on your image, powered by Vision AI
117
一句话介绍:一款利用Vision AI技术,帮助内容创作者在图片中便捷关联并分享商品链接,以解决粉丝频繁询问购买来源痛点并提升变现效率的工具。
SaaS Influencer marketing Affiliate marketing
创作者经济 AI图像识别 社交电商 内容变现 商品标记 链接管理 营销工具 Vision AI 社交媒体优化
用户评论摘要:用户肯定其界面设计与核心概念,但指出预览加载有延迟。核心建议是增加“自动标记”功能以进一步提升体验,并询问与Instagram等主流平台的具体集成方式。开发团队已积极回应改进。
AI 锐评

taag.app瞄准了创作者经济中“流量变现最后一公里”的经典难题——将内容影响力高效转化为电商引流。其核心价值并非简单的链接托管,而在于通过Vision AI充当“视觉搜索引擎”,试图在内容(图片/视频)与商品库之间建立自动化、精准的关联,从而将创作者从繁琐的 manual tagging 中解放出来。

然而,其当前形态透露出明显的“中间件”尴尬。首先,其依赖“个人主页链接”的集成方式,在Instagram等封闭生态内实属隔靴搔痒,无法实现原生、无缝的购物体验,这极大限制了其核心场景的转化效能。其次,评论中关于“自动标记”的建议恰恰点中了其AI能力商业化落地的要害:AI识别的准确性与可靠性是产品体验的生死线。若自动推荐不准,手动修正成本高昂,则工具价值锐减;若完全依赖手动,则其“AI驱动”的溢价难以体现。

产品真正的护城河在于其背后的商品库规模、AI识别精准度,以及与社交平台更深度的API集成能力。否则,它极易沦为又一个为创作者“锦上添花”而非“雪中送炭”的辅助工具,在激烈的创作者工具红海中难以突围。它的未来,取决于能否从“链接管理工具”进化为“视觉即购物”的底层基础设施。

查看原始信息
taag.app
Now powered by Vision AI - Simplifying product sharing for content creators powered by vision AI. Earn more as a creator with taag.app, taag.app enhances the process of sharing products links for content creators using AI, increasing both engagement and monetization opportunities. For creators tired of answering the questions "Where did you buy it from?", taag.app simplifies everything and allows you to earn.

tried it on a few reels and the tagging flow felt clean, though the preview took a moment to load 😅

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@rahul_manjhi1 thank you for trying it out, we will smooth out the preview!
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The analytics UI is beautiful!

💡 On tagging, have you considered automatically tagging at first? You've done the hard task of finding similar/related products, so I reckon you could perhaps eliminate the manual find/search, then tag.

Ideally, if done, users should be able to update the tags - since LLMs aren't infallible.

I didn't see this in the video, but how does the solution work with social media sites like Instagram? Assuming that's a big medium for the target audience?

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@ohansemmanuel thank you for the feedback, I can definitely add auto tagging without manually selecting the items. You’re right, the solution is mainly targeting users on all social media platforms, the integration right now is mainly via links, so using your profile link in your link in bio and on apps like Threads/X you can directly post it on the feed with added advantage of utilizing the open-graph info automatically.
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#14
Crowdstake
AI Marketing OS for waitlists, preorders & A/B testing
70
一句话介绍:Crowdstake是一款AI营销操作系统,帮助初创团队和独立开发者在产品开发前,快速构建候补名单页面、收集付费预订并进行A/B测试,以极低成本验证市场真实需求,解决“闭门造车、发布即冷启动”的核心痛点。
Crowdfunding Artificial Intelligence Marketing automation
AI营销操作系统 产品验证 候补名单 预发布页面 A/B测试 独立开发者 初创公司 市场调研 登陆页生成 需求验证
用户评论摘要:用户普遍认可其解决“从0到1”验证痛点的价值,认为能节省时间、专注产品构建。主要问题集中于功能细节:是否包含页面托管、未来能否扩展为完整网站、分析数据维度、自定义域名支持,以及与竞品(如Lovable/v0)的差异化。
AI 锐评

Crowdstake切入了一个精准且高频的利基市场:初创团队的“想法验证”阶段。其宣称的价值并非简单的“又一个AI建站工具”,而是一个“风险对冲工具”。它试图将传统的、耗时数周的MVP验证流程,压缩到几分钟的页面生成和A/B测试中,本质是销售一种“确定性”——用预付意愿等真实数据替代创始人的盲目猜测。

产品定位颇具策略性:以“免费”和“极简启动”降低准入门槛,吸引最广泛的目标用户(焦虑的创始人),而其长期愿景“AI智能体营销OS”则描绘了更大的蓝图,旨在成为初创公司的营销中枢。从评论回复看,团队思路清晰,强调与“产品构建工具”的差异化,坚守“营销与验证”的边界。

然而,其面临的挑战同样尖锐。首先,功能壁垒不高,候补名单收集、简单A/B测试已是许多工具的标配功能,其AI生成页面的质量和转化效率将是关键护城河。其次,从“验证工具”向“营销OS”的演进路径漫长且竞争激烈,需要持续证明其AI能真正理解营销策略而不仅是执行模板任务。最后,其商业模式隐含矛盾:最需要它的用户(零收入初创公司)付费意愿最低,而成长后的公司可能转向功能更全的专业营销套件。

总体而言,Crowdstake若能在“验证”这一单点上做到极致——提供更深度的洞察数据(如用户画像分析、竞争对标)和更高的转化率,它就有机会成为创始人工具箱中的必备“探路针”。否则,它可能只是另一个在红海市场中挣扎的SaaS工具。其真正的考验在于,AI是营销噱头,还是能真正重构早期营销的决策链条。

查看原始信息
Crowdstake
Build and launch your waitlist in minutes — not weeks. Crowdstake creates your messaging, designs your landing pages, and runs A/B tests automatically. It’s the fastest way for founders and indie devs to validate an idea and grow an audience.

Hey Product Hunt! 👋

Super excited to finally share Crowdstake with y'all.

We built this because we've seen too many founders spend months building something in the dark, only to launch to no customers. The reality is you don't need a finished product to start finding customers. You need a way to capture interest, collect paid reservations, and prove demand before you write a single line of code.

That's what Crowdstake does. We give you AI-powered landing pages and conversion tools that make it ridiculously easy to build your waitlist and validate willingness to pay, so you can launch with confidence backed by real data, not guesses.

But this is just the beginning. Our bigger vision? We're building toward an AI agent marketing OS, a future where lean teams and solo founders can compete with companies 10x their size. We want to empower the next generation of low-headcount enterprises to punch way above their weight.

Would love your feedback, questions, roasts. And if you've got an idea you want to validate or a waitlist to build, give it a spin!

Let's go 🚀

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Hey everyone, James here. I am one of the co-founders of Crowdstake. We built Crowdstake because creators, founders, and small businesses keep launching into the void, guessing if anyone will care. Instead of shouting into the void, you build an AI-powered prelaunch page that captures real reservations, waitlists, and preorders. You can A/B test your idea, refine your story, and launch with data-backed conviction. Our goal: make validation as easy as imagination. We’d love your feedback and thoughts!
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@jamesjacksonleachatx Thank you for making this product Free! We will test it!
Congrats on your launch!

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Congrats on the launch team!
Does the package include hosting for the landing page? And can we build the complete web app on top of the landing page in the future?

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@chilarai Thanks so much! Yes, hosting for the landing page is included on every plan.

And yes, the idea is that you start with a simple launch page and turn it into a full marketing website that boosts your venture. Crowdstake is built as your AI-guided marketing command center: it helps you go from one landing page to a complete SEO/AEO-friendly website with A/B testing, guided content creation, and all the AI features you need to consistently 10x your customer base.

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@chilarai // the free plan includes hosting as well, already integrated when you publish a page!

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Alexander, congrats on your launch!

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This looks great @alexander_gifford . What kind of analytics can we get on these pages?
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Looks great, congrats on the launch! Wish we had this before we launched.

Do you provide any sort of analytics around conversion rates for A/B testing?

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@cschlaepfer Thank you! Yes in the dashboard it shows you which email/payments came from what landing page version.

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Very cool! Writing copy for landing pages is a tough job. This lets me concentrate on building the actual thing instead!
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Massively overlooked side of marketing. No matter how beautiful a website looks, a converting website will always beat that.

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SHould speeed this nuisance task up for many - good one!

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@osakasaul Yes, it is everybody’s pain going from 0 to 1. We want to be both the painkiller and the steroids for any new startup!

Thanks for the support!

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@osakasaul // from account creation to launching a beautiful, already hosted landing page, only 20 min.

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A cool idea for startup founders. Congratulations on the launch!

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@mykyta_semenov_ Thank you so much! 🙌 Really hope it becomes a helpful tool that makes marketing way easier for founders.

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@mykyta_semenov_ // Crowdstake offers a fast way to quickly get a project onto "paper" and shared with the world.

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Pretty cool! Excited to see what your build in the future with a full on Marketing OS

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@kritikasinghania Thanks! Oh yes 😄 More cool stuff is coming!!! We’re building toward a full Marketing OS to help any business get heard, be well-positioned, and grow insanely fast

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@kritikasinghania // We’re on a mission to help founders build low headcount billion dollar companies!

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Really like this idea. Validation tools are often more complex than they need to be. Can teams connect their own domain or is it only hosted pages?

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@alia_soni1 Thank you! Yes, you can connect your own domain, or use our hosted pages if you prefer. Starting a business is hard as hell :( Crowdstake is here to make the validation and launch part radically simpler and actually work on your terms.

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Congrats on the launch! Looks like a really useful tool for founders and indie devs. Good luck!

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Sounds exciting, will check it out soon! 🚀
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Congrats on the launch! Why would one choose your product over Lovable/v0/other AI website builders?

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@nikitaeverywhere Thank you! We're building something different, an AI Marketing OS. Lovable and v0 help you build products. Crowdstake handles everything on the marketing side: strategy, messaging, landing pages, email capture, payments, A/B testing. Think of it as an AI marketing team for founders who don't have one. Validation is our first use case, but we're building toward a full suite of tools that thinks and executes alongside you.

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Great idea! Congrats on the launch and thank you from all of us bootstapped founders haha

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@dcline Hey David, thanks so much

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Hi James, congrats on the product hunt launch. What was the inspiration or motivation for you to build this app?

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@peterclaridge // Crowdstake is the product I wished I always had when getting new ideas off the ground. Creators/builders/makers can quickly launch pages to triple check validation and start growing waitlists. Like 20 min fast!

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Liked you idea, A/B test always make me curious to test what is working and what not beforehand.
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@anishsharma // yes, always be testing!!! We've helped make A/B testing easier with Crowdstake.

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Really like this angle. Most founders spend weeks building landing pages and still end up validating the wrong thing. Automating messaging + A/B testing at the prelaunch stage feels like a huge time-saver.


Curious: how are you determining which variations “win” when there’s limited early traffic?

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Hey James! It's super cool cause it allows us to launch and validate before building an MVP. Quick question: is it a one shoot model or are you thinking on a recurring one?

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Congrats on the launch! The 'AI Marketing Consultant' feature looks super useful for technical founders who can build the product but struggle to sell it.

Quick thought on category design: By defining yourself as a 'Landing Page Builder,' you’re inviting comparison to low-cost commodity tools. Given the AI strategy component, you actually have the leverage to elevate this into a 'Validation Engine' narrative. Right now, the copy feels functional, but the tech is actually delivering Strategic Speed, which justifies a much higher price point than just 'hosting'.

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@anastasiia_tilinina Thanks so much, this is really valuable feedback. You are right: calling it a “landing page builder” drags it into the commodity bucket, even though what we are trying to build is more of a marketing backbone - intelligent infrastructure that guides the journey from validation through growth and learns as you go.
I am also testing a second angle: “Stop duct-taping tools. Start compounding marketing with an AI OS”.

From your “validation engine / strategic speed” lens, which of these feels closer to what you actually see in the product – or none of them at all?

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Congratulations

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@madalina_barbu Thank you! 🙌

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@madalina_barbu // thank you for your launch support! Our goal is for Crowdstake to help 100,000+ builders and makers!

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Congratulations on the launch 🎉 🎉 !!

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@shubham_pratap Thank you! Now let’s see what founders launch with it 😉

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@shubham_pratap // Thank you! very excited about what the team has built!

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#15
Teardown
Kill outdated app versions instantly
66
一句话介绍:Teardown 是一款面向移动开发团队的强制更新工具,通过即时淘汰过时或存在缺陷的App版本,解决了因应用商店更新延迟导致用户仍在使用旧版、故障版本的痛点。
Analytics Developer Tools
移动应用开发 强制更新 版本管理 发布运维 React Native Expo 开发工具 故障修复 用户端控制 SDK
用户评论摘要:用户普遍认可其解决了一个普遍痛点(等待OTA更新的无奈)。开发者积极互动,询问了是否支持Web应用(目前仅限移动端)以及产品路线图。评论整体以祝贺和正面反馈为主,体现了对开发者及其实用性理念的肯定。
AI 锐评

Teardown 精准切入了一个被主流应用商店分发模式所掩盖的“控制权真空”地带。它的核心价值并非技术上的颠覆,而是提供了一种关键的“保险丝”或“紧急制动”能力,将发布流程的最终控制权从不可控的、异步的用户更新行为,部分夺回至开发团队手中。

这尤其暴露了现代敏捷开发与古典分发模式之间的深层矛盾:团队迭代越快,旧版本“长尾”带来的运维成本和声誉风险就越高。当出现严重Bug或安全漏洞时,传统的“望天收”式等待更新是完全不可接受的。Teardown 的本质是一个风险管理工具,它让团队在“快速行动”的同时,拥有了应对“破碎东西”的底线能力,将潜在的公关危机和用户流失风险从“不可控”降级为“可管理”。

然而,其价值与风险一体两面。这种“强制”能力是一把双刃剑,滥用或误操作可能引发用户反感,甚至被视为一种“傲慢”的开发行为。产品成功的关键将不仅在于技术稳定性,更在于其功能设计的审慎哲学——是否提供了足够精细的分组、灰度与回滚机制,让“强制”变得智能且必要。此外,其目前绑定React Native/Expo生态,既是精准获客的利器,也决定了其市场天花板。

总体而言,Teardown 不是一个面向所有开发者的通用工具,而是特定于高速迭代的移动团队、特别是React Native技术栈的“专业止痛药”。它填补了工作流中的一个关键缺口,但其长期发展需在赋予开发者权力与尊重用户体验之间找到精妙的平衡。

查看原始信息
Teardown
Ever shipped a fix only to realize users are still running your broken build from last year? Teardown solves this. Force updates instantly—no app store delays. Target segments or individual users. Track version distribution live. Rollback bad releases with one click. Native React Native & Expo support. Stop waiting for adoption. Start enforcing it. Built for teams that move fast.

While I know @urbanchrisy from a mutual friend, I really admire his dedication for his project. Teardown is gonna be so helpful for anyone having an app. I am glad to be a part of this launch.

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@lakshya_singh Thanks man, and thanks for your help getting this all together 🙌

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Congratulations 👏🏻 🎉 looks great!

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@madalina_barbu Thank you so much! 🙌

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@madalina_barbu thank you 🙏

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Does one thing, and does it well. Nice!

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@kritikasinghania Thank you so much! 🙌 Please try and let us know

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Such a practical tool. And a pain that we've all felt while waiting (and hoping) for OTA updates to roll out.

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@peterjthomson Exactly! you shouldn't have to hope any longer, should work well in the IV app!

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@peterjthomson So true, Peter! Would love for you to try it out and share your feedback with us.

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Hey Product Hunt 👋 I'm Chris, the maker of Teardown.

I've been a React Native engineer for years & Every team I've worked with has had the same pain: users stuck on broken versions, support tickets flooding in for bugs we fixed weeks ago, and no clean way to force an update when it really matters.

I built Teardown to be the kill switch I always wished existed. With one SDK integration, you can force users off outdated versions, block access during critical security issues, and make sure everyone's running your latest bug fixes and features. No more duct-tape solutions.

What started as scratching my own itch evolved into a full release management platform—dashboard, analytics, and SDKs for React Native and Expo. The goal: give mobile engineers control over their release lifecycle without reinventing the wheel every time.

Feedback, questions, or wild feature ideas are very welcome in the comments. I'm here all day and genuinely want to build more tools that make React Native engineers' lives easier. 🚀

Check it out: https://teardown.dev

Building better tools for React Native engineers.

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Clean DevOps! Chris is the best builder in this. Congrats on the launch!!

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@tszhoi_19 Thanks Lee! LFG!!!

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Hey, Congrats on launch! Looks great!

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@andryemel thanks so much 🙏

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This is intriguing. Does it only support mobile apps or web apps as well?

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@chilarai at the moment just mobile as web it’s not as much of an issue. But an idea tho

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as a mobile developer, I liked the idea. good luck 🚀

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@savaskalkan thanks so much 🙏

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With the speed development exponentially increasing, we are shipping updates more frequently, and the need to reduce our long tail is becoming a very relevant problem. Going to check out Teardown.

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This looks so awesome, will give it a try in my next react native proj.! This has been a hassle for me esp. bcoz of the changes from my backend :(

What's the upcoming roadmap for Teardown?

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#16
Fastbreak Video
Polished product marketing videos. Zero learning curve.
59
一句话介绍:一款面向营销团队的零学习成本视频制作工具,通过预制模块和品牌一键套用,快速生成高质量营销视频,解决了传统视频制作软件学习门槛高、外包成本高昂的痛点。
Marketing Advertising Video
视频制作 营销工具 零学习曲线 品牌一致性 AI辅助 模板化 SaaS 效率工具 内容创作
用户评论摘要:用户普遍认为产品直观、有用。主要问题与建议集中在:成本明细(订阅制与按导出量计费)、自定义素材上传功能、与外部内容(如LinkedIn帖子)集成生成视频的可能性,以及品牌素材库的扩展需求。
AI 锐评

Fastbreak Video 精准切入了一个喧嚣市场中的真实缝隙:在专业级复杂工具(如After Effects)与“万金油”式AI生成视频之间,为营销团队提供一个“质量可控、操作傻瓜化”的解决方案。其核心价值并非技术颠覆,而是体验重构和流程封装。

产品将专业视频制作的“黑盒”拆解为几个关键预制件:品牌套件、智能布局、文本动画、嵌入式组件。这本质上是将资深视频设计师的经验与工作流产品化、模块化,让用户通过配置而非创造来达成“体面”的结果。它瞄准的不是创意表达,而是营销场景中高频、格式化的视频需求(如产品更新、社交媒体广告),用一致性替代独特性,用效率置换灵活性。

然而,其面临的挑战同样清晰。首先,定位上需警惕“夹心层”风险:对个人或极简需求用户,$30/月的定价可能过高;对大型品牌,其模板化输出可能无法满足深度定制需求。其次,评论中暴露的“上传不便”、“素材库扩展”等问题,正是其从“好用”到“必用”必须跨越的体验鸿沟。最后,其宣称的“零学习曲线”与未来可能增加的AI信用体系、更复杂组件之间,存在天然的体验矛盾——功能膨胀是此类工具的最大陷阱。

创始人基于十年行业经验的产品化直觉值得肯定,但真正的考验在于如何克制地定义边界,在“满足营销团队核心需求”与“避免滑向另一个复杂编辑器”之间找到精妙的平衡。它的未来,不在于追赶AI视频生成的炫技浪潮,而在于能否成为营销视频领域的“Canva”,将“够用且体面”的标准化产出做到极致。

查看原始信息
Fastbreak Video
Create polished multi-clip marketing videos in minutes. Drop in your brand, pick from ready-made building blocks, and export stunning video with smart layouts, text animations, and embedded clips you can fine-tune and share. Built for fast-moving marketing teams.

Hey Product Hunt! 👋

I’ve been waiting a long time to write this. Today I’m excited to introduce Fastbreak to you.

Fastbreak is the easiest way to create good-looking marketing video.

I know there are tons of video tools out there. But honestly, none of them hit the mark. They either require a steep learning curve or put the creative burden on you. Both skills take time to acquire — which is why most still outsource the production.

Meanwhile, AI-generated video is increasingly good, but doesn’t by itself consider how it might be used, and requires a combination of stitching and layering of more “consistent” assets, like animated marketing copy or product, and brand.

Fastbreak is born out of my own a 10-year journey creating video. I spent eons inside After Effects, and worked alongside incredibly talented designers and animators to product video ads for some of my favorite brands. Big projects. Big budgets. Big annual launches.

But thats not the world of tomorrow. The user experience I’m building towards: Simplicity meets quality.

  • Simplicity, so that you have autonomy and the ability to produce video more frequently–as it aligns with your team’s needs.

  • Quality, so that you feel good about what you share and your audience is hooked.

Here are some of my favourite things about Fastbreak →

  • 🫆 One-click brand consistency - during onboarding, you can add your company url and the app will grab brand colors and logos that will be used to auto-style your content.

  • 🛍️ Embeds — add images or video embeds inside any container. This is just the start.

  • 🎛️ Widgets - widgets are pre-designed components that are needed by marketing teams to tell their stories. Today I’m releasing a small portion. Tell me what is missing and I’ll build it.

  • 🎨 Instant layouts — pick from a selection of layouts, and automatically construct your scene

  • 🛼 Text animations — grouped by “energy level” that you can customize if needed

  • 🎙️ Voice-over — have an AI-generated narrator read your scene’s text out loud.

The video editor of tomorrow will look nothing like the ones today.

But I still have things to figure out, like which use-cases to prioritized and why. And building this alone, the app is still rough around the edges. But today’s launch is a step toward building that future.

Thanks for reading — and for helping shape where this goes next 🙏

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Amazing product @robingreenwood ! Can't wait to try it!

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@joel_milligan appreciate the support. Lmk if you have any questions

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Super slick ! Very useful for us.
How much does it cost?

Thank you

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@tasos_frantzolas thanks! I'm testing a subscription model at the moment of $30/month and based on # of video exports. As I role out more embedded AI-generated content they'll be a credit based system. Q: how much video are you currency producing, and at what frequency? weekly?

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Congrats, @robingreenwood ! I just tried it out and it's extremely intuitive and simple. Well done!

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@thomas_kaiser thanks. Appreciate the feedback. Keep me in the loop with what you build or if something doesn’t feel intuitive
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Looks great! is there a way i can insert a e.g. linkeidn post and get out a video that matches the post?

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@benjamin_drury very interesting idea. So basically 1) add a block of text, 2) define your brand, 3) click "create." I'm working on it :)

Q: What would you expect as out outcome? Text only animations, or mixed with other media?

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Congrats on the launch! Looking good!

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@jan_heimes thanks! If you end up using it for your continuous strong updates at Needle, lmk!

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This looks awesome congrats Robin!! Can't wait to try it!

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@balazs_deme1 Thanks so much — really appreciate it! Would love to hear what you think once you try it.

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This looks incredibly useful :) upvoted & shared with our PMMs.
Best of luck with the launch today!

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@lev_kerzhner Thanks!


If they try it out, I’d love to hear which use case they start with.

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Hi Robin,
I gave a try ad is really good! Now that I'm reading your story make sense that the first video i build is great!

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@daniele_r omg. That's amazing. You created that video already?

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Congrats on launching @robingreenwood!

With AI making it easier to build products, I do think that launching and branding becomes more valuable. Excited for fastbreak to build in that space.

Happy to also discuss a collab with GoLongtail (making SEO easier) if you’re interested.

Good luck! 🍀

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@richardpoelderl thanks! Let's produce some videos for GoLongtail! I'll connect

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I am trying it. Under "Add photo," I expected that I could add my own photo. Is there a possibility to add my own brand kit (colours, logos, images, some snippets), and AI will generate a custom-made branded video? Something similar to Mailchimp has for emails (I provide a brand media kit – it generates a custom-made layout for the newsletter).

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@busmark_w_nika thanks for checking it out!

  • You can add your own photo via url at the moment (upload coming next).

  • Brand kit at the moment includes colors and logo sourced by url. Those will then be auto-placed within your video scenes. Further images and snippets are not available atm, but sounds really cool. Can you give me an example of the kind of snippet you're thinking of?

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@busmark_w_nika follow-up question as I check out Mailchimp: do you then use the custom-made layout for your newsletter or do you go back in and edit? This balance of ease-of-use and desired outcome is super interesting!

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Congrats Robin! Great that someone like you with so much experience in video creation is putting into a product for us. Excited to try it!

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@charlotteschmitt really appreciate it! Excited to see what you end up producing!

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#17
Chat4Data
The Web Scraping Agent That Thinks for Itself
38
一句话介绍:一款具备自主规划与执行能力的AI网页抓取Chrome插件,通过自然语言交互,让非技术用户也能轻松完成复杂、动态网站的数据采集任务。
Productivity Artificial Intelligence Data
AI网页抓取 浏览器插件 数据采集代理 无代码工具 自动化 RPA Chrome扩展 智能代理 网络爬虫 自然语言交互
用户评论摘要:用户普遍认可其易用性和“智能代理”的进化方向。核心关切点在于其能否应对Cloudflare等复杂反爬机制,以及是否支持更广泛的浏览器自动化(如自动填表)。开发者回应后者已在规划中。
AI 锐评

Chat4Data 2.4的叙事从“对话式抓取”升级为“自主思考的代理”,这标志着其从工具向协作者的定位转变。其宣称的“智能任务构建”与“自主执行”,本质是将传统爬虫工程中最为耗时的环节——分析网站结构、设计抓取路径、处理动态加载和反爬策略——封装进一个黑盒AI模型。这直击了市场核心痛点:数据需求的即时性与技术门槛的长期矛盾。

然而,其光鲜的“智能”外衣下,隐藏着所有AI驱动型抓取工具的共同命门:对抗性网络环境的残酷考验。一条用户评论精准刺破了关键疑虑:在面对日益普及的Cloudflare和高级指纹反爬系统时,其“自主”行为模拟(如鼠标移动、延迟)是否足够逼真以规避封禁?这并非细节问题,而是决定其能否从“玩具”蜕变为“工具”的生死线。产品目前对静态或简单动态网站展示的“智能”,在复杂的工业级数据采集场景中可能瞬间瓦解。

另一个值得玩味的点是其边界。用户询问其能否向网站“输入”数据,暗示了市场对其有更高的RPA(机器人流程自动化)期待。团队的肯定性远期规划,暴露了其更大的野心:不止于数据提取,更想成为浏览器内人机交互的通用代理。但这一定位将使其面临更严峻的技术、伦理和竞争挑战。

总体而言,Chat4Data 2.4是一次有价值的范式推进,它让数据采集的入口变得无比平滑。但其真正的“智能”成色,并非体现在理解“请抓取某产品价格”这类简单指令,而在于能否在布满陷阱的现代互联网中,像一位经验丰富的老手那样稳定、隐蔽地完成任务。在它证明自己拥有这份“街头智慧”之前,它仍是一个面向轻中度用户的便捷解决方案,而非颠覆行业的革命者。

查看原始信息
Chat4Data
Best AI-based web scraper plugin for Chrome. Beyond conversational scraping, now with agentic intelligence to handle what others can't.

Hey PH community 👋
I’m Lina Scott, co-founder of Chat4Data.

A few months ago, we launched Chat4Data — the first AI scraper that lets you extract data simply by chatting, with no setup, no XPaths, no technical overhead. Since then, we’ve been listening closely to your feedback and rebuilding the core engine to not just follow instructions, but understand them.

Today, we’re excited to introduce Chat4Data 2.4 — a smarter, more autonomous scraper that can plan, navigate, and extract on its own!

🛠️ What’s new in 2.4
1. Intelligent Task Construction
Describe your goal in plain language. Chat4Data interprets intent, breaks it into steps, and builds the workflow automatically.

2. Autonomous Execution
Give one instruction, and it handles the rest — navigating sites (even SPAs), adapting to changes, and managing multi-step flows without manual fixes.

3. More Scenarios Unlocked
Support for listing pages, detail pages, and multi-level drill-downs makes complex extraction smoother than ever.

4. Workflows that Remember
Your chats and workflows are saved, searchable, and ready to pick up anytime.

Our vision is simple: web data extraction should feel intuitive, not technical.
With Chat4Data 2.4, we’re getting much closer to a true “data agent” — one that understands what you want, figures out the steps, and gets the job done.

We’d love for you to try 2.4 and tell us what you think.
The whole team is here today to answer questions, gather feedback, and learn from you!

Thanks for being part of this journey 🚀

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This looks way too easy. My trust issues are tingling.

Most AI scrapers work great on a static blog but choke the second they hit a site with Cloudflare or complex anti-bot fingerprinting. Does Chat4Data handle the 'human' behavior (mouse movements, delays) to avoid getting IP banned?

I'm rooting for you @lina_scott1 because building datasets manually is the worst.

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Congrats on the launch! Besides data collection, can Chat4data realize other browser automation tasks? For example, automatically inputting collected data into specific websites.

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@sherryje Thank you for asking that! Currently, Chat4Data is mainly optimized for navigating sites and capturing the data you’re looking for. More advanced browser automation — like auto-filling forms or sending data back into websites — isn’t supported yet, but it’s definitely on our roadmap.

Really appreciate the idea!Your comment helps us shape what we build next! 🚀

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Great tool, especially the ability to infer list pages, detail pages, and drill-down paths automatically is incredibly impressive.

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Thats a joy, looking forward to playing around with it. Good luck today! :)

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@lev_kerzhner Thanks for your support:)

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Most scrapers have a steep learning curve. This one feels welcoming.

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Been in my AI stack for almost 180 days. Love it and glad to see how it evolves into an ai agent.

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@karenapatchhh Thank you Karena!

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#18
Ark Empowerment
The Dream Co-Captain for Navigating Your Business
36
一句话介绍:Ark Empowerment 是一个专为早期创业团队设计的AI协同工作空间,通过整合顾问训练的专业AI代理和共享文档,在创业初期混乱、信息分散的场景下,帮助创始人统一策略、对齐团队认知并加速决策与执行。
Productivity Artificial Intelligence Consulting
AI工作空间 创业协同 AI代理 文档分析 战略决策 初创企业工具 团队对齐 智能顾问 上下文感知 一体化平台
用户评论摘要:用户普遍认可产品解决早期创业信息分散、认知模糊痛点的价值,赞赏其“公司大脑”的定位和基于上下文的AI代理。有效建议包括明确其“上下文层”的系统定位以构建壁垒,并持续收集功能反馈以优化成为团队的默认工作空间。
AI 锐评

Ark Empowerment 的野心不在于成为又一个AI聊天界面,而在于试图成为初创公司的“上下文层”操作系统。它直面早期创业最本质的混乱——策略、财务、法务等信息散落于各处,团队认知不同步,决策基于不完整的假设。产品将顾问经验编码进垂直AI代理,并构建统一的公司档案(Company Profile)作为上下文核心,让AI的每次交互都基于持续积累的“公司记忆”,这使其从“交互系统”向“记录系统”演进。

其真正的护城河潜力正在于此:如果它能成功吸引团队将核心决策过程、文档迭代和战略讨论沉淀其中,它便不再是一个可被轻易替换的AI前端,而是成为了承载创业公司核心知识资产与决策逻辑的“数字基座”。这比单纯提供建议的工具更具粘性和长期价值。

然而,挑战同样严峻。首先,它需要极高的数据保真度和上下文理解深度,任何重大的信息遗漏或误读都可能导致决策建议的偏差,这对早期团队是致命的。其次,它必须平衡“结构化引导”与“灵活性”之间的关系,过于僵化的流程会扼杀创业公司的敏捷性。最后,如何从“有用”跨越到“不可或缺”,让繁忙的创始人养成在此进行首要思考的习惯,是其产品设计、工作流集成和网络效应构建的关键考验。当前版本更像一个功能整合良好的专业版ChatGPT,其宣称的“公司大脑”能否真正从辅助升级为中枢,仍有待观察。

查看原始信息
Ark Empowerment
Ark unites your co-founders, documents, and AI Agents into one workspace. Trained on real startup advice, Ark helps you make better decisions, create faster, and stay in sync as you build.
Hey Product Hunt! 👋 I’m Aviv, co-founder & Co-CEO of Ark. We’re excited to launch Ark: an AI Workspace where your entire startup collaborates with AI Agents trained by real startup advisors. Early-stage life is chaotic—scattered docs, endless decisions, and not enough hands. Ark gives founders a place where strategy, context, and teamwork stay aligned, and where AI actively helps push projects forward instead of adding complexity. Here’s what you can try today: - Bring your co-founders into a shared AI Workspace - Talk to advisor-trained AI Agents across strategy, product, operations, fundraising, and more - Upload documents and have Ark review, analyze, or transform them - Generate plans and documents your whole team can iterate on - Explore your startup stage and let Ark adapt to what you’re building And the best part: you can start completely free - no credit card needed! Just jump in and try Ark with your team. We’d ❤️ your feedback. What’s working? What’s not? What should we build next? We’ll be here all day answering questions, sharing our roadmap, and learning from you. Thank you very much for checking out Ark - and if you try it, drop a comment! We’re building this for founders like you. 🚀
15
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Such an important launch! I know a lot of early-stage teams who are drowning in scattered docs, context switching, and endless “who owns what.” But beneath all of that, the real challenge is the vagueness of being an early-stage founder - nothing is fully defined, everything is urgent, and every decision depends on half-written assumptions living across ten different places. Ark is the first workspace I’ve seen that actually reduces that cognitive fog instead of adding another tool to manage. We've been using Ark internally at Radicalbutton.com and the advisor-trained AI agents are a game changer // especially the way they understand strategy, product, and operations in context, not in isolation.


Huge congrats to the team ♥︎ This is the direction startup tooling should be heading ⚔︎⚔︎⚔︎⚔︎⚔︎⚔︎⚔︎

9
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@galrubinx Thank you, Gal! We truly appreciate all your support 💜

5
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Hey Product Hunt! 👋 I’m Nimrod, co-founder & Co-CEO of Ark. I’ve spent the last 15+ years working with hundreds of startups as a lawyer and advisor. The pattern was always the same: strategy in one doc, financials in another, advice stuck in someone’s head or a random WhatsApp thread – and founders trying to glue it all together at 2am. Ark is the “company brain” I always wished those teams had: a shared AI Workspace where your startup’s context lives, and where advisor-trained AI Agents help you make decisions instead of creating more noise. A few things I’m personally excited for you to try: • Bring your co-founders into one workspace and keep everyone aligned on the same plans and docs • Ask AI Agents real questions about strategy, fundraising, operations, and more – in the context of your startup • Upload your key documents and let Ark review, analyze, and transform them into drafts your team can iterate on • Use Ark to turn messy ideas into concrete plans your whole team can move forward with We’re learning in public here, so I’d really love your honest feedback – especially from founders, operators, and advisors: 👉 What would make Ark your default place to think and build with your team? 👉 What’s missing or confusing right now? We’ll be in the comments all day. Thank you for checking us out ❤️
5
回复

The workspace every founder needs, from A to Z!
Highly recommended for founders looking to acquire more skills.

5
回复

@avi_rafalson1 Thank you for the feedback and for being a tester, Avi!

6
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This is beyond exciting. The opportunity is enormous.

5
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@okaniel Thank you very much for all your support, Oren!

5
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Congrats on the launch! 🎉

Tried Ark recently and was really impressed. It’s basically a bunch of specialized AI helpers for founders — strategy, finance, legal, hiring, fundraising — all in one place. What I liked most is that it actually remembers your company details, so you’re not repeating yourself every time you ask something.

The shared workspace for co-founders and advisors is a nice touch too. Makes it way easier to keep everyone aligned without juggling a bunch of tools.

It’s still early, but it already feels super useful for small teams trying to move fast.

Worth checking out if you’re building anything right now.

3
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@ganjonathan Thank you very much, Jonathan!

2
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Congrats on the launch! The concept of a persistent 'Company Profile' that informs every agent’s response is a smart architectural choice.

It’s interesting to see where this sits in the stack. It feels like you are transitioning from a 'System of Engagement' (chatting with AI) to a 'System of Record' (owning the startup's context). Most AI tools get stuck as just an interface, which is defenseless against OpenAI. If the positioning can articulate that you own the 'Context Layer'—meaning the AI remembers the business logic that humans forget—that’s where the real enterprise value lives.

2
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#19
1Click Report
Build marketing dashboards in 60 seconds using AI
33
一句话介绍:一款AI驱动的营销仪表板工具,60秒内自动整合多平台数据并生成可视化报告,解决了营销人员无需依赖开发者和分析师即可自主、快速获取数据洞察的痛点。
Analytics Marketing Artificial Intelligence
营销数据分析 AI仪表板 无代码平台 SaaS 数据整合 自动化报告 营销技术 商业智能 白标报告 Claude集成
用户评论摘要:用户反馈积极,认可其节省手动制作报告时间、简化数据整合流程的核心价值。具体建议集中在期待更多数据源集成,并提及当前报告流程中最令人烦恼的部分是反馈重点。
AI 锐评

1Click Report 精准切入了一个成熟但依然混乱的市场缝隙:中层营销人员的自助数据分析。其宣称的“60秒生成”和“无需代码”直指传统BI工具和定制化开发在敏捷性与成本上的软肋。产品将自身定位为“简化工具”是明智的,它并未声称替代专业数据分析师或强大的BI系统,而是旨在消灭那些重复、初级且耗时的数据抓取和拼接工作。

真正的亮点在于内置MCP服务器并与Claude深度集成。这步棋超越了“看数据”的层面,迈向了“问数据”的交互范式。它试图将AI助手从通用的文本处理,牵引至专有的、上下文丰富的业务数据领域,这可能是其构建长期壁垒的关键。然而,其面临的挑战同样清晰:首先,$25/月的定价锚定了其“轻量级工具”属性,但如何应对随着客户数据量增长和需求复杂化带来的成本与功能压力?其次,当前集成(GA4, Meta, Google Ads)仍显基础,能否快速响应市场对TikTok、LinkedIn等渠道的集成需求,将决定其市场广度。最后,在“AI生成”仪表板的炫酷背后,其数据解读的深度、准确度及可定制性,能否经得起专业营销人员的挑剔,将是留存的关键。

总体而言,这是一款在正确方向上迈出扎实一步的产品。它用AI和集成解决了“有无”和“快慢”的问题,但距离真正提供“分析师级洞察”,还有很长的路要走。其成功与否,将取决于能否在极致的易用性与一定程度的分析深度之间找到最佳平衡点。

查看原始信息
1Click Report
Marketers shouldn't need developers to see their own data. But today you either beg engineering for help, hire analysts, or pay $600/mo for tools that need a PhD to use. We built something simpler -Connect GA4, Meta Ads, Google Ads to 1ClickReport -AI builds your dashboard in 60 seconds - No code. No formulas. No waiting on anyone. -MCP server built-in—connect your data to Claude. Get analyst level insights -White-label sharing for client reports. $25/mo. First 500 users get 55% off forever.
Hey Product Hunt! 👋 I'm Suryansh, and I've spent 10+ years in product and analytics. Here's the frustrating truth I've seen at every company: Marketers can't access their own data without help. They wait days for a developer to build a dashboard. Or pay analysts to pull reports. Or spend $600/mo on tools that still need technical setup. I watched smart marketers stuck in spreadsheet hell, copy-pasting from 5 different tabs just to answer "how did last week go?" That felt broken.So I built 1ClickReport. Connect your GA4, Meta Ads, Google Ads. AI builds your dashboard in 60 seconds. No code. No waiting. No $600/month bill. We also built an MCP server—so you can analyze your marketing data directly inside Claude. This is day one. The product will get better with your feedback. Would love to hear: -What integrations do you need most? -What's the most annoying part of your current reporting? Happy to answer any questions! 🙏
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Love the landing page, will give this a try. Creating manual reports is really a hassle.

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Great tool for marketers. Congrats 🚀

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@basharath Thanks alot.

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Thats a powerfull tool, specially the AI grnerated dashboard

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@murad_ Thanks alot. Do give it a try. Would love to get your feedback.

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The dashboard builder is great. Saves a lot of time and effort trying to get all the data together on looker studio.

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@hitesh_uchil1 Thanks a lot. Your feedback on earlier product really helped us bring this product to life.

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#20
Optifly
Create vacations in one prompt
31
一句话介绍:Optifly是一款AI旅行规划助手,通过单次指令快速生成个性化行程,解决了用户在规划航班、酒店和活动时耗时耗力的痛点。
Global Nomad Travel Artificial Intelligence
AI旅行规划 个性化行程生成 智能助手 航班酒店预订 旅行科技 效率工具 行程管理 一键生成
用户评论摘要:用户反馈积极,认可AI简化旅行规划的价值。主要建议/问题集中于:1. 希望产品能根据不同的旅行风格(如穷游与奢华游)调整推荐;2. 期待社区分享与计划保存功能。
AI 锐评

Optifly切入的是一个古老但持续疼痛的市场——旅行规划。其“一键生成”的标语直指核心:将繁琐的信息搜集、比价、路线串联工作,交给AI进行秒级处理。这看似是效率的极致提升,但深究之下,其面临的挑战与价值同样清晰。

真正的价值并非简单的信息聚合,而在于其“个性化”的深度。当前市面上已有众多旅行预订平台,Optifly的差异点必须建立在AI对复杂、模糊用户意图的精准理解,以及对海量非标旅行数据(如小众体验、季节性活动、实时口碑)的整合能力上。否则,它极易沦为另一个包装精美的航班酒店搜索器。

从现有有限评论已可窥见用户的核心关切:AI的推荐是否真正智能、灵活且具备风格适配性?这恰恰是产品的生死线。用户询问“能否区分预算背包客与奢华游”,本质上是在质疑其推荐引擎的颗粒度和上下文理解能力。此外,社区分享功能的提及,暗示了用户可能期待的不只是一个工具,更是一个激发灵感和获取信任的社交化平台。

因此,Optifly的远景不在于“规划”,而在于“认知”与“发现”。它能否从“理解我的明确指令”进化到“洞察我未言明的旅行偏好”,并提供令人惊喜的选项,将是其能否建立壁垒的关键。在AI工具同质化初显的当下,拥有独特数据源、深度算法和垂直场景理解的产品才能最终存活。Optifly迈出了正确但也是第一步,真正的旅程才刚刚开始。

查看原始信息
Optifly
Experience the future of travel planning with our intelligent AI assistant that creates personalized itineraries in seconds. Plan flights, hotels, and activities with AI.
Save your plans and share it with the community in Optifly!
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Fahmid, really like how AI simplifies trip planning. Quick question: Does Optifly adjust recommendations for different travel styles—like budget backpacking vs. luxury getaways?

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