Product Hunt 每日热榜 2025-12-17

一句话介绍：基于GPT Image 1.5模型，提供能精准保持光影和人像特征的图像生成与编辑功能，解决了用户在创意工作中输出结果与预期不符、细节丢失和生成速度慢的痛点。

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API Artificial Intelligence Photo editing

AI图像生成 AI图像编辑多模态AI 创意工具图像模型精准编辑人脸保持生成加速 OpenAI生态 API服务

用户评论摘要：用户普遍赞赏生成速度提升和精准编辑能力，特别是对人脸和光影的保持。期待与Google Nano Banana等竞品对比。主要疑问集中于API处理复杂场景的能力、实际工作流中的最大价值点以及具体定价。

AI 锐评

OpenAI此次迭代，与其说是技术飞跃，不如说是一次精准的“补短”与“体验重塑”。GPT Image 1.5的核心卖点——精准保持光影和人像、更强的指令跟随、4倍速度——直指当前AI生图领域的用户核心槽点：不可控的“开盲盒”体验、修图毁原图、以及等待消耗的创作灵感。

从评论看，用户的兴奋点高度聚焦于“终于不换脸了”和“4倍速”，这恰恰暴露了前代产品或竞品在“可靠性”这一基础体验上的不足。OpenAI正在将ChatGPT在文本领域的“强指令跟随”优势，系统性地复制到图像领域。推出内置的“Images”功能模块，预设滤镜和提示词，更是意图降低创作门槛，将ChatGPT从对话机器人转变为集成的创意工作台，旨在绑定用户生态。

然而，光鲜之下暗藏挑战。首先，“精准”是一个相对概念，在评论中已有用户追问复杂光影场景的处理，这仍是AI的难点。其次，竞品环伺，Google的Nano Banana等模型以轻量和效果惊艳引发关注，后发者未必有优势。最关键的是，OpenAI此次依然强调“在ChatGPT和API中可用”，这强化了其生态闭环战略，但模型独立竞争力如何、API定价是否具备优势，将决定它能否从“ChatGPT用户的内置福利”走向广大开发者与企业的生产环境。此次升级是巩固阵地而非颠覆市场，真正的战役在于能否在开放战场上，以同等成本提供更稳定、可控的工业级图像生成能力。

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ChatGPT Images

ChatGPT Images is powered by the new GPT Image 1.5 model. It delivers precise edits that preserve lighting and facial likeness, stronger instruction following, and 4x faster generation. Available now in ChatGPT and via API.

Hi everyone!

OpenAI just released a new version of ChatGPT Images, powered by their new flagship image generation model.

Now, whether you are creating from scratch or editing a photo, you actually get the output you are picturing. It makes precise edits while keeping details intact, and generates images up to 4x faster.

They also introduced a new dedicated Images feature within ChatGPT to make creative exploration effortless, featuring dozens of preset filters and prompts to jump-start inspiration.

Rolling out today for all users, and in the API as gpt-image-1.5.

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@zaczuo Huge congrats on the launch, Zac! 4x speed is a massive unlock for the creative flow, I can’t wait to see how this levels up the Scribe experience!

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@zaczuo Love how this focuses on precision and speed together. The dedicated Images experience inside ChatGPT also feels like a smart move for everyday creators, not just power users.

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This will be so nice , because every time I send my image to ChatGPT to generate for me , it always end up changing my face. So this will be so good, and I really can't wait.

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Nice upgrade. The faster generation and more precise edits are a big win 👍. Keen to see how this stacks up against the other models.

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OpenAI has finally rolled out image generation. Google’s Nano Banana has been blowing up lately with some really impressive results, and I’m looking forward to seeing comparisons of GPT Images, Google Nano Banana, and other image generation models—especially in terms of quality and pricing.

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Looks Nice! Congrats

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The precision-first approach really stands out here — getting exactly what you imagine while preserving fine details is huge for creators.
Curious: in real workflows, where do users see the biggest leap — fast iterative editing, style exploration with presets, or complex multi-step image edits?

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Wow, OpenAIs new image editing is incredible! The precise lighting preservation is a game-changer. How does the API handle complex scene edits with multiple light sources?

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Excited to try it out!!

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Impressive model

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Can't wait to test this against Gemini's Nano

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一句话介绍：Kraa是一款将个人笔记、富文本文档与实时群聊融合于一体的网页写作应用，通过分离内容与样式及灵活的模板系统，解决了用户在写作、协作和轻量级发布场景中需频繁切换工具的痛点。

Writing User Experience Notes

网页写作应用笔记工具实时协作富文本编辑器内容发布团队聊天一体化工作流设计简洁模板化无干扰写作

用户评论摘要：用户普遍赞赏其一体化设计和简洁美观的UI。核心关注点包括：实时聊天功能的性能与规模上限、产品名称发音、用户留存策略、与外部平台的兼容性。主要建议是优化官网首页的滚动提示UX。

AI 锐评

Kraa 1.0的野心在于试图成为“一切文本的抽象层”，其核心价值主张并非功能堆砌，而是通过一个统一的“写作基元”重构数字文本的生产与消费场景。它将传统割裂的笔记、文档、聊天甚至博客评论，统一为可灵活转换形态的“叶子”，这本质上是挑战当前以功能划分工具（如Notion、Google Docs、Slack）的主流范式。

其“分离样式与内容”的核心理念是一把双刃剑。优势在于为用户提供了从私密草稿到公开出版的无缝流，且保持了写作时的“冷静与专注”，这直击了高端写作者的核心诉求。独特的聊天组件并非意在取代Slack，而是将临时性、围绕文本的轻讨论内化，试图减少上下文切换的摩擦。

然而，其最大风险在于定位的模糊性。“为一切而写”可能意味着“无一物专精”。普通用户可能觉得笔记功能过于复杂，而专业团队则可能怀疑其聊天和协作功能的深度与可靠性。评论中关于“留存曲线”和“网络效应”的提问，恰恰点中了其增长要害：它需要锚定一个高粘性、可传播的初始场景（是个人写作者的出版工具，还是小团队的创意协作空间？），并在此建立壁垒，而非停留在“有趣的概念”层面。

技术选型（ProseMirror, Svelte）确保了现代且强大的编辑体验，但产品能否成功，取决于团队能否在“无限的灵活性”与“清晰的用户心智模型”之间找到精妙的平衡。目前，它更像一个优雅的、具有前瞻性的“原型”，其真正考验在于后续如何收敛场景，实现可持续的增长。

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Kraa 1.0

This is the first major release of Kraa. Kraa is not just another note-takin app. It's a web app for any kind of writing, be it a personal note, collaborative rich-text document, or even a group real-real time conversation (via Kraa's unique Chat widget).

Hello Product Hunters! I'm Lev, one of three building this product.

We are well aware of the sea of editors and note-taking apps out there. Kraa in a way adds to this already overwhelming choice, but our approach is quite different and allows for specific use cases one might not expect from a regular 'markdown editor'.

One of the core principles of Kraa is a strong separation of style and content. Our templating system allow for rich customizations while the experience of actually writing or reading the content remains clutter-free and focused.

Kraa is also aiming to be an abstraction over ANY written text. We are still far from that goal, but you will already find — on a first-glance odd — features like real-real-time chats or a completely frictionless blog-publishing experience (literally just change access from 'anyone with link' to a 'reader' and add a Chat widget for comments).

Live demos (no login required):

Kraa is built on ProseMirror (via TipTap) and Svelte.

You don’t need an account to try it. We’d love to hear what you think.

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@miserilev The strength here is the single writing primitive reused across notes, docs, publishing, and discussion. Separating content from presentation reduces tool sprawl and keeps workflows flexible.

As adoption grows, which use case are you anchoring on first?

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@miserilev will check this out!

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@miserilev The abstraction-over-writing idea is interesting, especially combining long-form writing with lightweight chat. Curious to see how writers adopt this over time — the calm, focused UX is a big plus.

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Wow, Kraa looks incredible! The writing app for everything tagline is spot on. Super curious how the Chat widget handles large group conversations in real-time. Definitely giving this a try!

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@jaydev13 Thank you! We had some successful tests with 50+ real-time participants for the chat and the theoretical limits are quite high with plenty of room for optimization. We have big plans for the chat feature.

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How do you pronounce Kraa?

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@davidos366 It rhymes with 'bra', but hold onto that 'a' tad bit longer.

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@ladislav_kafka The writing workspace is beautifully designed. How are you capturing writers as a network effect? What's the retention curve looking like after day 30 and the secret to it looking like?

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Kinda into this idea. One place for notes, docs, even group chat. I’m constantly jumping between Notes, Docs, and Slack. If Kraa keeps long-form clean and doesn’t turn into a noisy inbox, I’m interested. Will give it a spin tonight.

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@alexcloudstar Thanks, Alex! If you can – share your thoughts once you give it a try!

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On the homepage, can you make the scroll down a little more prominent?
I thought the website was incomplete. You hid the features of your app just because of a small UX

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@chilarai Yes, fair enough, we will make it a little clearer

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The design is AWESOME 👏🏻 Just pure beauty.

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@pasha_tseluyko Thank you! Glad to hear you like it.

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Saw this a while back on HN, congrats on the launch here!

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Is the editorial style compatible with most platforms (Medium, Substack etc)?

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@tade_odunlami Yes, it creates a regular <h1>, <p>, ... structure that you can copy-paste anywhere. You can also export your leafs (Kraa's term for documents) into .md file.

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一句话介绍：StreamAlive是一款PPT插件，通过直接读取会议平台（如Zoom、Teams）的聊天内容，在现有幻灯片内实时生成投票、词云、问答等互动，解决了在线演示中观众参与度低、操作流程割裂的核心痛点。

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Meetings Artificial Intelligence Online Learning

演示工具观众互动 PowerPoint插件实时参与在线会议企业培训互动教学 SaaS 效率工具聊天驱动

用户评论摘要：用户普遍认可其“聊天驱动”理念的革命性，认为能极大提升会议和课堂参与度。主要反馈包括：希望支持Google Slides；询问与企业、教育机构的合作；探讨用户因固有思维（如依赖二维码）而产生的使用障碍；期待更多互动形式和AI功能。

AI 锐评

StreamAlive的野心，并非再造一个Mentimeter或Slido，而是对“互动”本身进行一次釜底抽薪式的场景重构。其真正价值在于“消解工具感”——它不要求观众跳出会议主场景（聊天框）去完成互动，而是将互动悄无声息地嵌入既有的沟通流中。这看似微小的技术路径差异，实则击中了线上协作最深层的顽疾：因工具切换带来的认知负荷与参与断层。

CEO的自述揭示了产品演进的本质：从打造一个独立的“优秀应用”，到谦卑地“融入用户38年的工作流”。这是一个关键的战略转身。它不再与PowerPoint为敌，而是选择成为其神经末梢，将单向播报的幻灯片变为可双向对话的“活页”。这极大地降低了主讲人的操控成本和观众的参与门槛，其“Powered by the chat”的极致简洁，是它最犀利的武器。

然而，其面临的挑战同样深刻。首当其冲是“心智模型”的教化成本，正如评论中所揭示的，用户需要时间重新理解“互动”的定义。其次，其价值深度绑定于“聊天”这一形式，在静默观看的直播或纪律严苛的汇报场景中可能受限。最后，其护城河在于对主流会议平台聊天协议的深度集成与稳定性，技术依赖性强。

长远看，StreamAlive正试图占据线上沟通的“互动层”基础设施地位。它的未来不在于互动形式的无限堆砌，而在于如何更智能地解析聊天流（如评论中提及的AI推荐互动），从“呈现反应”进阶到“解读意图”，最终让幻灯片不仅“听得见”，更能“听得懂”观众的声音。这是一条更艰难但更具颠覆性的道路。

查看原始信息 ▼

StreamAlive

For 38 years your PowerPoint slides have been talking to your audience. Now it's time for them to listen. Using nothing but the chat in Teams, Zoom or any other meeting platform, your audience can author and update your slides in real-time. Add all kinds of interactions from polls, word clouds, interactive maps, quizzes, and spinner wheels DIRECTLY inside your existing PowerPoint slides. Note: works with PowerPoint v16.100 and above.

best thing to come out of streamalive yet.

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@ranjanrishikesh I feel like there's a star wars meme here where I say "except the fun and entertaining weekly newsletter I write, right?"

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Hi Product Hunter!

Thanks for taking a look at our latest product.

I'm Lux Narayan, CEO and co-founder at StreamAlive. I'd like to share a little bit about our journey to make your PowerPoint slides interactive.

For that, we have to go back 38 years when Robert Gaskin and his team released the first version of PowerPoint. Ever since then PowerPoint has been used to talk to audiences online and offline.

At StreamAlive our mission is to help unmute the audience. We started with chat-powered interactions in live sessions, then built the StreamAlive app for Zoom to make it more seamless, and then created a presentation builder so you could create your slides and interactions as if you were creating a presentation deck.

The more we spoke to users the more we realized that we were trying to force our app on their existing workflow. While everyone loved how easy it was to run chat-powered interactions, there was an element of friction because 80% of the world still presents on PowerPoint.

Our users found that they were constantly switching context from their PowerPoint slides to the interaction slides, and back again. As most people know, presenting is a very stressful job, even more so when it's done virtually where any number of technical challenges can trip you up.

We wanted to give people fewer plates to spin during their presentation and that meant figuring out how to bring StreamAlive's interactions INSIDE an existing PowerPoint deck.

The journey has been long (over 6 months in development) and full of setbacks, but we're finally ready to show the world what we've built.

After 38 years it's finally time for your PowerPoint slides to listen to what the audience has to say. We hope you try it out and discover that their is life after death by PowerPoint.

A huge shoutout to the StreamAlive team and all the beta-testers who have patiently tested our new add-in for PowerPoint and reported bugs and offered ideas on how to make it better.

Looking forward to hearing any feedback or comments that you many have.

Thank you.
Namaste! 🙏🏽

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Excited about this launch!
Looking forward to hearing how StreamAlive is transforming your PowerPoint presentations. Would love your feedback and any new ideas you'd like to see next!

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Powerpoint + Teams or Zoom chat + StreamAlive = Seamless Interactive presentation for a connected, inclusive, and engaging session

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I love this guy!

The interactive slides seems with tiles seems like a nice idea. I think it will become more ueseful with more features and (my wet dream) - an AI agent for GSlides or PP to write your texts with you.

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@pasha_tseluyko That sounds like a great idea and we have our resident AI agent expert @ranjanrishikesh who can look into this for us!

Unfortunately as advanced as Google Slides is, it doesn't support embeds 🤯 so we can't make StreamAlive work in Google Slides the way we can do it in PowerPoint.

We're looking at Gamma.app and Canva as the next places we want to bring StreamAlive interactions into your existing presentation deck.

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@pasha_tseluyko Thanks for the support. Just to add... Our AI can read your ppt slides and recommend perfect interactions at the right spot It's quite amazing, if I may say so myself.

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This could be a game-changer for boring meetings.What’s the most surprising use case you’ve seen so far — team meetings, classrooms, or live events?

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@pany_ai The most surprising one was from a couple of years ago when we were still figuring out who our ICP was. Airrack did a live ping pong tournament on YouTube Live and used StreamAlive to process the comments as the audience voted on what forfeits the players had to do:

https://youtu.be/CwNSIkmfOjg?si=sn0Slbkbp7higZ22

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Huh?

What does that even mean?

Unlike other audience engagement tools you might be familiar with, your audience uses the chat in your meeting or streaming platform to participate.

When you run a StreamAlive poll in your PowerPoint slide, your audience doesn't look at a second screen or hunt for the voting window. They just type in the meeting or streaming chat, 1, 2, or 3, etc.

That's it.

Try it out in the sandbox here: https://sandbox.streamalive.com/sandbox1?platform=zoom&interaction=poll-1

When you run a word cloud in your PowerPoint slide, your audience types their answer in the meeting or streaming chat.

That's it.

Try it out in the sandbox here: https://sandbox.streamalive.com/sandbox1?platform=zoom&interaction=wordcloud-1

When you want to run a spinner wheel in your PowerPoint slide, StreamAlive automatically adds everyone from the chat to the spinner wheel. (You can also manually upload a list of people if you're old skool).

That's it.

Try it out in the sandbox here: https://sandbox.streamalive.com/sandbox1?platform=zoom&interaction=wheel-1

When you want to capture all the audience questions and show them on your PowerPoint slide, just tell your audience to type their question in the meeting or streaming chat. No special Q&A boxes or special characters to denote a question.

That's it.

Try it out in the sandbox here: https://sandbox.streamalive.com/sandbox1?platform=zoom&interaction=quick-question-1

When you want to run a quiz in your PowerPoint presentation, your audience just types 1, 2, or 3, etc. in the chat for their chosen answer. Points are awarded for the right answer and speed. Leaderboards track who's winning.

That's it.

StreamAlive is an audience engagement platform, but different to anything you have seen before.

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@peterclaridge that looks promising, and there are so many use cases that come to mind. Cool product!

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Nice product! I wish I had such a tool when I was a consultant. Do you plan to work with consulting firms?

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@donatien_dubois1 We have a self serve model so anyone who uses PowerPoint and wants to add a layer of interaction with the audience to it can use StreamAlive - we're pretty industry agnostic, although it's mostly trainers and facilitators who use the product.

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@StreamAlive - Interactive PPT slides Clever inversion of the engagement problem - keeping interactions inside native chat instead of forcing a second screen is the kind of product thinking I respect.

My question: as presenters integrate this into their workflow, what's the biggest blocker you're seeing for adoption - is it friction in the PowerPoint UX itself, or more about folks not knowing this exists? Also curious how you're thinking about the data layer - are teams wanting to capture and analyze interaction patterns across presentations for insights?

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@imraju That's a great question! Unfortunately there's no badge to award for "great question".

The biggest point of friction that we're seeing right now is people's mental model of how an audience engagement platform "should" work. We've had over a decade of "audience, please scan this QR code, download the app, enter this code, and vote in the poll about what you had for breakfast".*

StreamAlive is far, far easier for your participants.

All your audience has to do is type their responses in the meeting or streaming chat to participate. StreamAlive reads the chat and visualizes your poll, word cloud, or other interaction in your PowerPoint slide.

This is so new and revolutionary that people can't quite wrap their head around it (hence my earlier comment here about being powered by the chat).

I did a customer call the other day where they accused us (in a nice way) of building the most complicated engagement tool in history. When I dug in to what they had done, they assumed StreamAlive worked like "every other engagement tool" and they were searching for the QR code or link to share with their audience. In the end they shared their profile link and 30 employees all signed up for a StreamAlive account and then got confused why they still couldn't access the interactions.

When I showed them how StreamAlive actually works I had to pick their jaws up from the floor. They were just stunned. And absolutely mortified. They couldn't believe how easy it was and how badly they had misunderstood how it works (because their mental model could only handle engagement being done through QR codes and links).

They are now a happy user :)

So biggest challenge isn't technical or legal. It's pre-existing ideas on how an engagement tool "should" work.

*Shamelessly stolen word for word from @luxnarayan

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Hi, do you plan on expanding the interaction library in the future? or what areas of the tool other than this you plan on improvising further?

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@tania_j Hi Tania, there are currently 12 different interactions that are powered by the chat already available. At the moment we can only think of variations of those interactions instead of completely new ones. So more like a different visualization of an existing interaction.

For example the spinner wheel could be varied by just picking a name out of the hat or it could be a slot machine type visualization.

If you have ideas on what other chat-powered interactions you'd like to see, we'd love to hear it!

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@tania_j we will be building a lot more features to our Quizzes. Coming soon.

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I can imagine how students and schools could benefit from this and make the learning process way effective. Do you collab also with some universities or so?

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@busmark_w_nika Yes, we do! We have Tatiana who uses it with her class at Rutgers - https://www.streamalive.com/customer-stories/tatiana-rodriguez

And Manish Agarwal who uses it in his classes https://www.streamalive.com/customer-stories/manish-agarwal

They both say the same thing: StreamAlive helps give a voice to the too shy to speak and too cool to speak, so that the classes can be inclusive, interactive and engaging.

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一句话介绍：一款将草图、构图与AI生成结合的无画布创意工作空间，为创作者在将想法交付AI前提供了结构化的视觉构思场景，解决了纯文本提示的随机性与传统设计软件笨重的问题。

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Design Tools Art Artificial Intelligence

AI绘画工具创意工作空间草图生成AI 无限画布视觉构思独立开发图像生成设计辅助快速原型风格转换

用户评论摘要：用户普遍认可“草图先行”理念与无限画布体验，并询问iPad/Apple Pencil支持情况。核心关切点在于生成成本（每图消耗1积分）和生成失败处理。重要建议包括：增加跨帧风格一致性控制、优化笔压感应、明确生成对布局的遵循程度。

AI 锐评

CanvAi 试图在“提示词彩票”与“专业软件过载”之间开辟一条新路径，其核心价值并非单纯的AI生图，而在于提出了“**结构化引导**”的前置工作流。它将无限画布定位为“思考空间”，让用户通过草图、形状、框架等视觉元素构建意图，再交由AI执行，这本质上是对当前AI图像生成“黑箱操作”的一种降噪和可控性尝试。

然而，产品目前呈现出一个明显的“中间态”矛盾。一方面，它吸引了追求快速构思的创作者，但其核心功能（如Nano Banana Pro生成）的可靠性、一致性等关键指标，在评论中仍是未经验证的黑盒。用户关于风格一致性、布局遵循度的提问，直指当前AI生图技术的通病，而这并非一个前端画布工具能独立解决。另一方面，它看似轻量，但“构思-搭建框架-生成”的流程，是否真的比精炼提示词更高效？这需要用户改变既有习惯。

其真正的机会点在于，能否将“视觉框架”深度转化为AI可理解且严格遵循的强约束条件，从而产出确定性更高的结果。否则，它可能仅是一个附带了AI生成功能的在线白板，其“转化”环节的随机性会削弱前端“结构化”的全部意义。开发者的独立身份是双刃剑，虽能快速响应（如承诺研究风格参考功能），但也可能受限于底层模型能力。产品的成败，在于它能否从“有趣的创意玩具”，进化成具备稳定产出预期、真正提升工作流效率的“专业桥梁”。

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CanvAi

CanvAi is a creative workspace that turns rough sketches into polished AI art. Draw on an infinite canvas, add shapes and assets, then use frames to transform them with Nano Banana Pro.

Hey everyone, Charlie here 👋 I'm excited to introduce CanvAi.co on Product Hunt. I built CanvAi because I kept wishing for a space where I could sketch, plan, and experiment visually before sending anything to an AI model. Most tools rely on prompting alone, which feels unpredictable, and traditional design apps feel too heavy for quick idea work. CanvAi gives you a place to think on the canvas. You can sketch rough ideas, drop in shapes, add text labels, create frames, import reference images, and then transform those compositions using nano banana pro. It lets you guide the AI with structure, not guesswork. Here is what you can do: • Draw and experiment on an infinite canvas • Build frames and compose scenes • Import your own images and generate variations • Create standalone assets like characters and props • Transform everything into polished art with Nano Banana Pro • Export in high resolution for print, social, or your next project I built this indie style and will be improving it actively. Your feedback means a lot, so if you try it and anything feels confusing, slow, or missing, please tell me. I want this to become the most enjoyable creative playground for anyone who likes to sketch and generate. Thanks so much for supporting the launch!

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@charlie_clark congrats on the launch!🚀 How much credits are needed per image generation? How does it handle failed generations?

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@charlie_clark Love the idea of guiding AI with structure instead of text-only prompts. The “canvas as a thinking space” really comes through here excited to see how creators push this beyond quick experiments.

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This is amazing! Chat and Sketch should always get the images generated faster and better.
It definitely should be less frustrating. Great job

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@chilarai appreciate it!

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Can this be used on iPad? Using it with Apple Pencil would be a great experience😁

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@xiaoguang_zhao hey Xiaoguang, it should work on iPad!

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Congrats on the launch team! Cool features, how many credits does each generation consume?

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@sohan_patil thanks! Each generation costs 1 credit.

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Congrats.. that’s very cool .. all the best 🔥🔥

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@dessignnet cheers Marios!

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CanvAi feels like a great bridge between thinking in sketches and finishing with AI. The infinite canvas + frames workflow is super interesting.
Curious — how do creators usually use Nano Banana Pro: more for refining composition or for exploring totally different styles from the same sketch?

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@pany_ai thanks yu! I’ve mostly been seeing folks play with the sketch -> image pipeline so far!

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You're a product creating MACHINE. Can't wait to make all my memes and beautiful pictures as well in your new tool

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@campak haha thanks Cam 😅

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Wow, CanvAi looks amazing! Love the infinite canvas idea. Im curious, how well does it handle generating consistent styles across multiple frames with different sketches?

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@jaydev13 good question! There isn't currently a good mechanism to enforce consistency between frame generations. I think some mechanism that allows attaching style references would be effective. I'll look into this!

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Nicely done, I like the svg waves on the landing page. Do you know Perlin noise? Would make it even more natural I think.

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@laurentlahmy_ good idea, I'll look into using perlin noise for the waves 〰️

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Looks very professional! Many creators would benefit from such an amazing product! Congrats on your launch!

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@avloss Thank you so much Anton!

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Love the idea of sketch-first vs prompt soup. Infinite canvas + frames makes sense. I doodle rough storyboards on my iPad—does pencil pressure work? Also curious how tight the gen sticks to the layout. Nano Banana Pro is a wild name 😂

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一句话介绍：Croct是一款集成了AI驱动实时分群、个性化内容与A/B测试的动态CMS，它通过分析用户实时与历史行为数据，帮助增长团队无需复杂代码或SQL即可实现精准受众细分与个性化体验，解决了多工具切换、数据滞后与开发资源紧张的增长痛点。

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A/B Testing Growth Hacking Website Builder

网站个性化实时用户分群行为分析 A/B测试动态CMS 增长工具无代码分析隐私合规 AI驱动客户旅程优化

用户评论摘要：用户关注产品性能（尤其对Next.js等框架的轻量集成）、数据隐私与GDPR合规性，以及企业级适用性。开发者团队积极回应，强调匿名化处理、轻量级设计与良好开发体验。用户认可其将历史行为（近期度、频次）融入实时分群的价值，认为其填补了分析工具与个性化工具间的鸿沟。

AI 锐评

Croct此次升级的核心并非简单的功能叠加，而是试图用“行为时序数据”重构网站个性化与增长的基础逻辑。传统工具要么如分析平台深挖历史数据却无法实时行动，要么如个性化引擎实时响应却依赖浅层会话信号，Croct将RFM模型与实时事件流结合，本质是让“用户意图”成为一个可被持续计算和即时响应的动态变量。

其宣称的“无需SQL、无过度工程”直指增长团队的核心困境：数据洞察与行动执行间的“工具链断层”和“开发依赖”。产品若能真正实现轻量集成与无性能损耗，确实有潜力成为增长中台的“统一行为层”。

然而，潜在风险同样清晰。首先，“AI驱动”的具体实现细节模糊，是自动化规则生成还是更深的预测模型？其智能程度将直接决定产品是“更易用的分群面板”还是“真正的意图预测引擎”。其次，匿名化处理虽利好隐私合规，但也可能限制其在需要用户身份识别的复杂转化场景下的深度。最后，评论中提及的“避免过度细分”问题非常关键，产品若不能引导团队聚焦于高价值行为模式，反而可能助长增长团队的“局部优化内卷”。

总体而言，Croct的价值在于它试图在“数据深度”、“行动速度”和“实施成本”这个不可能三角中寻找新平衡点。其成败关键在于：能否将“基于历史行为的实时分群”这一复杂能力，封装成真正可被市场、运营等非技术角色安全、高效使用的增长基础设施。

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AI-powered website segmentation by Croct

Croct is a dynamic CMS with built-in personalization, AB testing, and analytics. Today, we're launching a new version of the product that not only provides real-time data about the user but also historical data. Now you can segment website visitors by the events they perform, specifying recency and frequency criteria for real-time audience segmentation.

RFM-style segments + flags in one place sounds handy. We’re on Next.js and juggle too many tools for this stuff. If setup’s light and doesn’t slow the page, tempting. The historical bits (recency/frequency) are the draw for me.

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@alexcloudstar You’re not alone, those two points were deal breakers for us as well. That’s exactly why performance has always been a core concern in how we built the product.

From the start, we put a lot of focus on the developer experience, especially for frameworks like Next.js. The goal was to keep implementation lightweight, predictable, and not introduce extra work down the line (or page slowdowns 😅)

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@alexcloudstar Great to hear that, Alex! If you get a chance to try Croct, we’d love to hear your thoughts and impressions.

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@alexcloudstar Turning real user behavior into live segments without SQL or heavy analytics setup is a big win for growth teams. The focus on intent evolving over time really stands out in this release.

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how does it handle data privacy and GDPR compliance when tracking real-time behavioral patterns?

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@lightninglx Great question, Xiang! Croct is designed to work with anonymous users by default, especially across open areas of the site. We don’t require personal data (such as email, name, or any direct identifier) to track real-time behavioral patterns or to deliver personalized experiences.
As users navigate the site, Croct creates and enriches an anonymous profile based purely on behavioral signals (pages viewed, interactions, interests, events). These signals are processed and activated in real time, allowing content, personalization, and experiments to be triggered immediately, without tying that behavior to personally identifiable information. :)

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Awesome launch as always Croct and the Team!

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@georgekaran Thank you, George! Your support is always appreciated 🙋‍♀️💚

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Super awesome! Congrats on the launch

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@chilarai Thank you, Chilarai! 💚

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@chilarai , thank you for the support!! 💚

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👋 Hey Product Hunt!

Today, we're shipping something we've been working toward since the first version of Croct: AI-powered website segmentation.

Until now, segmentation has relied on static data or real-time context. But visitor behavior isn't static: visitors click, browse, return, convert, and change their intent constantly.

So we built a way to turn every on-site action into growth.

With this release, you can understand what they click, what they view, how often they return, and use their behavior to create live segments that learns from real web activity over time. No SQL, no analytics gymnastics, no over-engineering.

What you can do now:
- Segment visitors by real behavior, not snapshots
- Leverage recency, frequency, and intent
- Personalize experiences automatically as users interact
- Run smarter AB tests based on richer audience data
- Turn behavior patterns into high-converting experiences

It's simple, fast, and ready to plug into any website.

As always, we're building this alongside the community. Your questions, ideas, and feedback shape what we do next, so hit us with everything you've got 💚

Let's do this! 🚀

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@amorimj This is a strong direction especially the shift from static or session-only context to behavior over time.
the recency + frequency layer stands out. that’s usually where teams hit a wall analytics has the data but can’t act in real time, while personalization tools can act but rely on shallow signals. bringing historical behavior directly into segmentation closes that gap. how do you help teams avoid over-segmentation early on?

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@amorimj Websites usually feel like a 'one-size-fits-all' brochure, but this turns them into a personalized concierge. Congrats, Juliana! Static data is officially dead; intent is the new king.

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Solid approach to website personalization. Curious to know though - are you seeing adoption from enterprises as well? How do you handle privacy compliance across different geographies?

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@imraju Yeah, adoption from enterprise companies has been really strong! In many ways, they have an advantage because higher traffic volumes accelerate experimentation and open up more possibilities for segmentation. We’re seeing especially high engagement from teams that are very data-driven and innovation-oriented, as they’re able to extract value faster and iterate at scale.
On privacy and compliance: our approach is built around anonymous user profiles by default. We work with behavioral and contextual data in open areas of the site, without requiring personal identifiers like email or user IDs. This allows teams to personalize experiences and run experiments in real time while staying aligned with privacy regulations across different geographies.

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Love the focus on helping growth teams move fast without blocking on devs.
which use case has shown the biggest lift so far — AI audience segmentation, personalization, or A/B testing?

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@pany_ai, that’s a great (and tricky) question :D
It’s hard to point to a single use case as “the biggest winner” because results vary a lot depending on factors like the market, the company’s growth maturity, traffic profile, and how well the team understands its audience.
What we consistently see driving the strongest impact, though, are 360º strategies that look at the entire user journey, not isolated tactics. Teams that combine AI-driven audience segmentation, personalization, and A/B testing tend to move the needle much more than those using any one of these in isolation.
Segmentation helps you understand who you’re talking to, personalization helps you deliver the right message at the right moment, and A/B testing ensures you’re continuously learning and improving. When these three work together, the impact compounds and that’s usually when we see the most meaningful lifts.

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Wow Juliana! I used to need more than 3 tools to make all you pointed here! It’s really impressive. Are you competing with mixpanel and intercom at the same time?

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Wow! This is really amazing. Congratulations on the launch. Everything looks really great. 💚💚

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@lh_gms Thank you, Lu! You are an important part of our history and your support will always be appreciated 💚

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Congratulations with yet another successful launch! Likely you'll get another - #4 medal! Now that's some consistency!

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Wow, Croct looks amazing! The AI-powered audience segmentation seems super powerful. How granular can I get with the event-based segmentation for returning users?

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Congrats on the launch @amorimj @marcospassos @camila_shiratsubaki1 @luizawramos 👏
What stood out to me most is the combination of real-time events with recency/frequency segmentation. It makes web personalization far more reliable (less “loose rules”) and significantly improves experiment quality.

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一句话介绍：Wan 2.6是一款原生多模态AI模型，通过将创意转化为电影级视频和图像，解决了创作者在制作高质量、连贯视觉叙事时面临的技术门槛高、制作成本大的核心痛点。

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Artificial Intelligence Video

多模态AI AI视频生成 AI电影制作内容创作工具视觉叙事角色一致性多镜头叙事音画同步高清生成创意赋能

用户评论摘要：用户普遍认可其从“视频生成”到“AI电影制作”的定位升级，特别赞赏角色复用和结构化叙事功能。主要疑问和建议集中在生成速度、具体耗时（如能否在1分40秒内完成）以及镜头控制等细节的核实上。

AI 锐评

Wan 2.6的发布，与其说是一次版本迭代，不如说是一次战略性的定位宣言。它敏锐地捕捉到了当前AI视频生成领域的核心瓶颈：碎片化。大多数工具止步于生成单段、短时、元素随机的“视频片段”，而Wan 2.6旗帜鲜明地瞄准了“连贯叙事”这一更高维度。

其宣称的“参考选角”、“智能多镜头叙事”、“原生音画同步”，本质上是在构建一个可控的、可规划的视觉叙事流水线。这不再是简单的“文生视频”，而是“文生剧本-分镜-成片”。它试图将电影工业中导演、选角、摄影、剪辑的初步逻辑编码进模型，让AI从“执行者”部分转向“协作者”。这才是其真正的价值所在——降低专业级视觉叙事的前期制作门槛，为独立创作者、小型工作室提供了过去只有大型团队才能实现的叙事一致性和制作精度。

然而，光环之下，挑战同样尖锐。首先，技术实现度存疑。评论中关于生成速度的提问，直指用户体验与商业应用的核心。电影级质量若伴随小时级的生成等待，其“创作流”将被彻底打断。其次，“一致性”的边界何在？在复杂多人物互动、长镜头运动中，角色与场景的物理一致性是否能始终如一？最后，也是最重要的，它是否真正理解“叙事”？其“结构化故事讲述”依赖于“现实世界知识”，但这知识是否足以驾驭复杂的情感转折、隐喻和风格化表达？目前看来，它更可能擅长的是逻辑清晰的说明性、流程性叙事，而非充满灵感的艺术创作。

总而言之，Wan 2.6描绘了一个诱人的未来图景：AI作为电影制作的基础设施。但它目前可能仍是一把无比锋利、却略显沉重的“原型工具”。它的成功，不仅取决于技术参数的领先，更取决于能否在生成质量、速度、可控性与成本之间找到那个能让创作者真正“用起来”的甜蜜点，将概念验证转化为可持续的生产力。

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Wan 2.6

Wan 2.6 is a native multimodal AI model that turns ideas into cinematic-quality videos and images. It supports multi-shot storytelling, consistent character casting from reference videos, natural audio-visual sync with realistic lip-sync, and 1080p HD generation. With advanced control over motion, lighting, lenses, and aesthetics, Wan 2.6 enables creators to produce coherent, professional-grade visual narratives from simple prompts.

Hey Hunters, Wan 2.6 is here — a native multimodal model built for cinematic storytelling, not just clips. 🎬 What makes Wan 2.6 special: ✅ Starring / Reference Casting: Reuse characters from reference videos with consistent appearance & voice, even across multi-person and human–object interactions ✅ Intelligent Multi-shot Narratives: Simple prompts → auto-storyboarded, multi-scene videos with strong visual consistency ✅ Native Audio-Visual Sync: Multi-speaker dialogue with natural lip-sync and studio-quality sound ✅ Cinematic Output: Up to 15s, 1080p HD, with better motion physics, instruction adherence & aesthetic control ✅ Advanced Image Creation & Editing: Photorealistic visuals with precise lens & lighting control + multi-image references ✅ Structured Storytelling: Interleaved text & visuals powered by real-world knowledge for richer, hierarchical narratives This feels like a big step from “video generation” to true AI filmmaking Curious to see what creators, studios, and storytellers build with it!

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@saaswarrior Love how Wan 2.6 is framed around filmmaking, not just generation.
Reference casting and structured storytelling feel especially powerful for longer narratives.
Congrats on the launch this looks like a meaningful step forward.

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The description of the new version is great. How about the generation speed? Can it be achieved within 1:40？

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Congrats.. very cool product.. all the best 🔥🔥

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I love platforms like this that don’t just spit out one image from a prompt but give you space to compose your whole idea before generation feels way more empowering.

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Whoa, Wan 2.2 looks incredible! The MoE architecture for video generation is a game changer. How does the fine-grained cinematic control handle different camera lens simulations? Super curious!

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Finally!! (I couldn't have been the only one waiting for something more that 10 second clips).

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一句话介绍：Picser 2.0是一款原生macOS图片查看器，通过强大的标签管理和幻灯片放映等功能，解决了用户在本地文件夹中高效浏览、筛选和组织大量图片的痛点。

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Photography

macOS原生应用图片查看器文件管理标签系统幻灯片放映轻量级工具预览替代品 SVG支持效率工具

用户评论摘要：用户普遍认可替代系统预览（Preview）的需求，赞赏其轻快、专注本地浏览的定位。开发者积极互动，透露当前标签功能仅限同一目录。核心关注点在于标签系统的长期应用场景（临时过滤还是持久化组织）及跨文件夹批量操作的可行性。

AI 锐评

Picser 2.0的迭代，精准刺中了macOS系统生态中一个长期被忽视的缝隙：专业级图片管理软件过于臃肿，而系统自带的Preview又过于简陋低效。它的真正价值并非简单的“功能叠加”，而在于重新定义了“看图”这一基础操作的效率边界。

产品定位极其聪明：不做“另一个Photos”，而是做“增强版Finder视觉延伸”。这意味着它放弃了云端同步、AI修图等重型赛道，将所有资源倾注于“本地文件系统”这一原生场景。标签管理功能是这一战略的核心体现，它不是模仿相册应用的复杂面孔识别，而是将文件管理中的“关键词”和“颜色标签”逻辑无缝移植到图片浏览，让组织行为与macOS的文件哲学一脉相承，极大地降低了专业用户（如摄影师、设计师）的认知和操作成本。

然而，其面临的挑战同样清晰。从评论中可窥见，用户对标签系统的想象已超越“同一目录”的限制，这触及了工具与系统之间权限和设计逻辑的深层矛盾。若固守单文件夹，则标签价值大打折扣；若想实现跨库全局标签，则不可避免地要涉足数据库管理，可能背离其“轻量、原生”的初心，陷入与大型管理软件的缠斗。

此外，将旋转、镜像等基础编辑功能免费，是高明的情感营销和获客策略，但这也凸显了其“专业功能”矩阵的薄弱。幻灯片、SVG支持等虽好，但尚不足以构筑坚固的付费壁垒。它的长远生存，取决于能否在“极致轻量的文件系统伴侣”与“用户期待的高效组织中枢”之间，找到一个不可替代的平衡点，并在此基础上挖掘出真正值得用户付费的深度工作流。目前来看，它打开了一扇门，但门后的道路仍需谨慎铺设。

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Picser 2.0

Picser is a blazing-fast, native macOS image viewer built to replace Preview. v2.0 brings major workflow upgrades: 🏷️ Tag Management: Organize with keywords & colors instantly. 🎬 Slideshow Mode: Auto-play your images with custom intervals. 🖼️ SVG Support & Zoom to Cursor. We also made Rotate & Mirror FREE for everyone! Built with SwiftUI for a silky smooth, lightweight experience. No library imports needed.

Subject: Back with 2.0! Tagging, Slideshows, and more free features. Hi Product Hunt! 👋 I'm the creator of Picser. I launched v1.0 here a while ago as a lightweight, native alternative to macOS Preview. Since then, I've been listening to your feedback. While Preview is okay for single files, it struggles with folder browsing and organization. Today, I'm excited to introduce Picser 2.0! What’s new in 2.0? 🏷️ Tag Management: Organize your library instantly. Filter by keywords or colors without the bulk of the "Photos" app. 🎬 Slideshow Mode: Auto-play your images with customizable intervals. 🖼️ SVG Support: View vector graphics natively. ✨ Better Experience: Zoom to Cursor, smoother transitions, and a refined UI. Giving back to the community: I moved the Rotate & Mirror tools from the paid tier to the Free tier. Basic editing should be free for everyone! I’d love to hear your thoughts on the new tagging workflow. Let me know what you think in the comments! 👇 I have 10 codes for the Lifetime Pro version, let me know if you want to test the Tagging feature!

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@mallocai looking good I'll try absolutely

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@mallocai great product for pic

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@mallocai Welcome back with 2.0! Love how Picser is doubling down on fast local browsing instead of becoming another heavy “Photos” replacement. The new tagging + folder workflow feels like a real upgrade for power users.
Curious: how do you envision people using tags long-term — more as temporary filters during review, or as a persistent organization system across large libraries?

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Wow, Picser looks amazing! The tag management feature seems like a huge time-saver. How well does it handle tagging images in different folders all at once? Really impressed!

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@jaydev13 Hey Jay! The current tagging feature is designed for the same directory. Why not give it a try?

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Default Preview is definitely out of date. Sometimes it open one preview window, sometimes two. Definitely highly unpredictable and annoying to work with. Replacement is much needed!

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@avloss Hahaha! Same here! The built-in preview is really useless. Maybe you could try Picser!😆

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一句话介绍：Grov是一款团队AI编程记忆同步工具，它将AI编程助手从单机模式升级为团队共享大脑，通过自动捕获和同步解决方案背后的推理过程，解决开发者在重复探索、上下文丢失和文档维护上的效率痛点。

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Open Source Developer Tools Artificial Intelligence GitHub

AI编程助手团队协作知识同步上下文管理开发效率 Claude集成智能记忆代码推理 SaaS工具开发者工具

用户评论摘要：用户普遍认可“团队大脑”概念的价值。核心问题聚焦于技术实现（上下文同步机制、人数上限）、定价策略（免费到付费阶梯陡峭）、以及实际考量（代码风格兼容性、记忆版本控制、嵌入技术细节）。创始人积极回应，透露了自动摘要、混合搜索等实现方案，并对定价和版本控制等未完善功能持开放调整态度。

AI 锐评

Grov切入的并非表面功能叠加，而是AI原生工作流中的一个深层断裂带：个体智能与集体智能的脱节。当前AI编程工具将效率爆炸局限于单点，Grov试图将这种爆炸网络化，其真正价值在于构建团队的“推理图谱”，而非简单的代码片段库。

它敏锐地抓住了两个核心矛盾：第一，AI会话的“失忆症”与软件工程所需持续上下文之间的矛盾；第二，个人通过AI加速与团队知识流转滞后的矛盾。其解决方案——自动提取“推理过程”并语义化同步——直指要害，这比共享聊天记录或强制文档更接近知识本质。

然而，其面临的挑战同样尖锐。首先，“记忆”的保鲜期问题：代码迭代迅速，静态的“团队记忆”如何动态演进而不成为历史包袱？创始人承认版本控制仍在开发，这是产品能否实用的生死线。其次，“推理”的标准化与噪音过滤：并非所有对话都值得共享，如何界定有价值“记忆”的边界，避免信息过载污染团队上下文？最后，生态依赖风险：深度绑定Claude等少数代理，使其命运与上游模型能力及API政策紧密挂钩。

产品理念超前，但现阶段更像一个精巧的“概念验证”。它验证了市场对AI协同层的强烈需求，但要从“有用”到“不可或缺”，必须跨越记忆的准确性、相关性与时效性这三座大山。它不是另一个SaaS工具，而是一次对团队知识如何在新范式下沉淀与复用的激进实验。成功与否，取决于其工程深度能否匹配其愿景高度。

查看原始信息 ▼

Grov

Most AI coding tools are single-player. Your AI forgets everything when the session ends, forcing every dev to waste time on redundant exploration. Grov turns your AI coding agent into a collective team brain. It captures the reasoning behind every solution and syncs it to your entire team. If one dev’s AI figures out your auth system, everyone’s AI knows it instantly. Currently works with claude code, expansion: codex, gemini Later: cursor

Oh that is cool! How do you keep context window and actually "sync" across players? Also, how many people max?

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@tade_odunlami Thank you! Appreciate it :)

Context window: Grov tracks token usage. When you hit ~90% capacity, it auto-summarizes your progress, clears the conversation, and re-injects the summary + team memories. So you never lose important context.

Sync: When a task completes, Grov extracts the reasoning and syncs it to your team. When any teammate starts a new Claude session, relevant memories get auto-injected into their context - Claude just "knows" what the team already figured out.

For max people, we currently do not have a “max” on team members, but we recommend a 3-5 person team

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Hi everyone! I started building Grov because my co-founder and I were struggling to keep documentation in sync with our development speed. In an era where AI tools let you 2x your codebase in days, maintaining docs is a nightmare. We realized the core problem: while our code was shared in Git, our AI's learnings were trapped in private chat logs. Even when you feed your agent documentation, you still waste time and tokens waiting for it to re-explore the codebase or re-learn architectural decisions it should already know. With Grov, we want to help teams: 1. Ship faster by skipping the "exploration" phase 2. Write fewer docs (Grov captures the "why" automatically) 3. Save tokens by stopping redundant work Looking forward to your feedback! I’d love to know: Does this solve a pain point for your team? What features are we missing?"

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BRILLIANT concept! Going from free for 3 > $100 for four is steep. Play with pricing?

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@osakasaul Honestly, we're still figuring it out based on feedback exactly like this. If you've got a team of 4, here is my email: stef@grov.dev I'll get you set up for free.

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Hey Tony, your AI’s learnings trapped in private chat logs that hit me. It’s like starting every session with amnesia. Was there a specific moment where that really stung?

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@vouchy Hey! Yes, there were multiple. For example, during a recent hackathon, my cofounder and I built a voice AI + live KG for therapists. It was really annoying having to make the coding agent read a lot of docs from my teammate, then reread files, re-explain how things work and why, etc. Even while building Grov, after a long planning session with Claude, I have to manually push .md files to Git just so my cofounder’s agent can access them. Starting a new session means re-ingesting everything. Decisions and insights get trapped in individual chats, a friction I’ve felt from hackathons to building actual projects. Specifics moments are especially when I’m planning a comprehensive feature to add/I’ve fixed an annoying bug and then starting next session my Claude has to reinvest everything or re explore everything and I have to explain what why and how. That’s honestly how i got the idea for Grov as well.

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@vouchy Also regarding what Tony said, maintaining these docs is also a huge pain. If I let them get too long, they eat up the context window, wasting time and tokens.

Another frustrating this is that Claude’s /compact often missed details after long planning sessions and switching from ideas back in forth, so I had to do the standard workaround everybody does: manually create a .md file, start a new chat, and make it read it again. That’s at least 3 extra steps every time just to keep context.

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Wow, Grov looks amazing! The team brain concept for AI coding is a game changer. Curious if the synchronization accounts for differing code styles across devs?

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@jaydev13 Thanks so much! Great question.

Grov actually operates at a higher level than code style, it captures reasoning, architectural decisions, and constraints rather than formatting preferences.

So if Dev A discovers "we use OAuth-only, rate limit is 100/min" while debugging auth, that knowledge syncs to the whole team. But code style (tabs vs spaces, semicolons, etc.) stays with your existing tools like ESLint/Prettier configs.

This is intentional, we focus on the "why did we build it this way" knowledge that's usually trapped in one dev's head (or lost when they switch contexts).

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@tonyystef this directly hits a real pain point we see in dev teams. A few questions: (1) How do you handle versioning when the codebase evolves but team memories stay static? (2) What's your token efficiency gains in practice - are you seeing 30-40% reduction in redundant exploration?

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@imraju Appreciate it! Great questions,

(1) Versioning: We're actively working on this. Right now memories persist until deleted - we store files_touched and linked_commit but don't auto-invalidate when files change. It's under active development.

(2) Efficiency: We've seen tasks go from 10+ min, 3+ subagents used & ~10 files read by the main model to 1-2 min, 0 subagents launched and 0 to ~3-4 files read when context is available (measured by avoiding re-exploration). Haven't formalized token reduction metrics yet. Would love to hear what you're seeing if you try it.

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Really cool. But does it also support chunking and embedding to be provided to the next agent for the team member?

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@chilarai Yes! When a memory is synced, we generate embeddings (OpenAI text-embedding-3-small) from the goal, reasoning trace, and decisions. When a teammate starts a session, we do hybrid search (semantic + keyword) to find the top 5 most relevant memories and inject them into their context.

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Hello, question for the Free plan:

what if I don't provide any API Key? what's still working?
would it work with AWS Bedrock or Openrouter API Key? Or only an Anthropic Key does the job?

Thank you

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一句话介绍：Ayer是一款完全离线的个人相册应用，允许用户自主选择任意日期，即时查看历年同一天的所有照片和视频，解决了用户在回顾特定日期记忆时受限于算法推送和云端隐私担忧的痛点。

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Android Privacy Photography Lifestyle

离线相册隐私安全日期回顾个人记忆管理本地化应用用户自主家庭相册无云端存储时间对比照片管理工具

用户评论摘要：用户反馈积极，赞赏其隐私保护（完全离线、无网络请求）和用户自主选择记忆的理念。开发者互动透露将优化照片交互UX。有用户询问对不同相机和比例照片的兼容性，已获肯定答复。

AI 锐评

Ayer的诞生源于一个具体而微的家庭需求，但它精准地刺中了当前数字记忆管理领域的两个核心矛盾：算法推荐与用户自主权的对立，以及云端便利性与数据隐私安全的冲突。其宣称的“100%离线”并非简单的功能阉割，而是一种激进的价值主张——将数据主权彻底交还用户，以彻底放弃网络功能为代价，构筑一个不可被侵入、售卖或用于AI训练的数字记忆堡垒。

产品真正的价值不在于其“按日期查看”的功能本身（这在技术上并非壁垒），而在于它选择了一条与科技巨头背道而驰的“退化”之路。在一切皆云、一切皆智能推荐的当下，它反其道而行之，推崇“笨拙”的本地化和用户完全手动控制。这看似牺牲了“智能回忆”的便利，却恰好满足了特定用户群体（尤其是高隐私敏感度、有强烈情感整理需求的家庭用户）对确定性、安全性和仪式感的需求。它从“工具”属性转向了“数字纪念品”属性。

然而，其发展路径也布满荆棘。完全离线意味着跨设备同步、分享等现代用户的基础需求被彻底放弃，将自身市场局限在了一个特定的利基圈层。此外，作为本地应用，其长期数据备份、存储空间管理的责任完全转移给了用户，这本身也构成了使用门槛。它更像一个精心设计的数字手工艺品，能否从满足小众情怀走向更广泛的可持续商业模式，仍需观察。它揭示了一个趋势：在数据焦虑时代，“少即是多”、“本地即奢华”可能成为新的产品差异化突破口。

查看原始信息 ▼

Ayer

Ayer lets you pick any calendar date and instantly see all the photos and videos you took on that exact day across every past year. I built it after my second son was born exactly two years and one day after my first. I wanted to compare their photos on the same day, year over year. No app let me do that. Most photo apps decide what memories you see. Ayer lets you choose. 100% offline. No cloud, no login, no tracking.

👋 Hi Product Hunt, I’m Jaime, the maker of Ayer. I built Ayer after my second son was born exactly two years and one day after my first. I wanted to compare photos of them on the same calendar day — their first week, first month, first birthday — year over year. I assumed this would be easy. It wasn’t. Every photo app I tried was timeline-based or relied on cloud “memories” picked by an algorithm. None let me simply choose a date and see that day across different years, and I didn’t want my family photos uploaded anywhere. So I built Ayer. Ayer lets you pick any date and instantly see all your photos and videos from that exact day across your years — completely offline, with no login, no cloud, and no tracking. I’d love your feedback: • Do you care more about privacy, or convenience? • Would you use something like this as a daily ritual? Thanks for checking it out 🙌

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Quick note before the day ends: One thing I didn’t emphasize enough: Ayer has *zero* network calls. You can literally put your phone in airplane mode and everything works. I built it this way because I wanted a place for family photos that could never be breached, sold, or used to train AI. Happy to answer anything technical or personal about the build.

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Wow, Ayer looks incredible! I love the focus on letting me choose which memories to revisit. Does it handle photos taken with different cameras and aspect ratios gracefully? Super excited to try it!

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@jaydev13 thank you so much for your comment and feedback ❤️ Yeah exactly, my main goal was to let the user (and not _algorithms_!) pick their memories). Yes it handles photos taken with different cameras and aspect ratios. I am in fact also planning to launch an update where I polish the behavior of the interactions when zooming and exploring photos. UX is a main part of the app!

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Very cool! Google Photos has always scared me so this might just be what i'm looking for!

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一句话介绍：通过AI对话，将想法快速转化为具备完整数据库和基础设施的全栈应用，解决了非技术用户和开发者从构思到安全部署的完整流程痛点。

Vibe coding

AI应用构建全栈开发无代码/低代码 React SSR Cloudflare边缘部署预览与生产隔离快速原型生产级应用数据库自动化安全防护

用户评论摘要：用户反馈流程顺畅，预览与生产环境隔离受好评。开发者强调其与“玩具项目”的区别，突出全球速度、安全性和现代技术栈。用户关心非技术人员适用性及AI幻觉与安全风险，官方回应已通过环境隔离、操作限制和数据恢复等措施进行缓解。

AI 锐评

Beautiful.dev的野心并非再造一个“AI对话生成前端页面”的玩具，而是试图用AI重构全栈应用从开发到部署的完整生产线。其真正的价值锚点在于“生产就绪”，这通过三个硬核设计实现：一是基于Cloudflare的边缘网络，直接捆绑了性能、全球分发与安全能力；二是采用支持SSR的现代React框架，直面SEO与性能痛点，与众多仅输出客户端渲染代码的平台拉开代差；三是严格的预览与生产环境隔离，这不仅是一个功能，更是对AI不确定性的工程化应对——将AI的“创造力”约束在沙箱中，通过非破坏性数据库操作和回滚机制为风险兜底。

然而，其面临的挑战同样清晰。首先，“全栈”意味着AI需要理解并协调从界面到数据再到基础设施的复杂逻辑，当前技术下的可靠性天花板仍是问号。其次，它试图同时取悦非技术用户和追求生产级的开发者，这两类人群的诉求和容忍度截然不同，平衡难度极大。最后，其商业模式和复杂应用的定制化上限尚未可知。本质上，它不是一个单纯的AI工具，而是一个披着AI对话外衣的、高度集成的云应用平台。它的成败不在于AI能否写出炫酷代码，而在于这套“AI驱动+专业基础设施”的封装，能否在可控成本下，真正稳定地交付可维护、可扩展的商业应用。这条路如果走通，将是对传统低代码和云服务市场的一次降维打击。

查看原始信息 ▼

Beautiful.dev

Beautiful.dev lets you go from an idea to a full-stack app by chatting with AI. It generates the app, sets up the database and infrastructure, and deploys it for you. You can iterate and make changes through conversation.

Hey everyone, maker here.

A quick note on what makes Beautiful.dev different from other AI app builders:

Fast, secure hosting on Cloudflare:
Apps are hosted on Cloudflare and run at the edge, so they are fast globally by default. They also benefit from Cloudflare’s built-in DDoS protection, security rules, and automatic scaling with no extra setup.

Modern React with SSR and prerendering:
We use TanStack Start, which gives apps server-side rendering and prerendering out of the box. This improves performance and SEO compared to platforms that ship only client-rendered apps.

Clear preview and production separation:
Preview and production environments are fully isolated. App code, databases, and integrations are separate, which lets you iterate safely, move forward or roll back versions, and deploy with confidence.

We built Beautiful.dev for people who want to ship real apps, not demos.
Happy to answer any questions.

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Tried Beautiful.dev this morning and was surprised by how clean the flow is. Going from idea to a working app feels much smoother than most AI builders I’ve tested. The preview vs production separation is a nice touch. 👏

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Hi Baris,
Congrats for your launch, nice product!
Is beautiful.dev designed for non-tech people as well? How do you mitigate hallucination or security risks?

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@ddu Hi! Thanks a lot!

Yes, beautiful.dev is designed for non-technical users, but it’s not limited to demos or toy projects. Apps built on beautiful.dev are fully featured, scalable, and production-ready, using the same infrastructure we run ourselves.

To mitigate hallucinations and security risks, we’ve put several guardrails in place:

Strict separation between preview and production: each environment has isolated code, data, and infrastructure, so changes in preview can never affect production.

Controlled AI actions: AI-driven database changes are limited to non-destructive operations only. Destructive changes are intentionally blocked.

Safety nets: we support point-in-time database restoration, so even in an unwanted scenario, data can be recovered quickly.

Our goal is to make app building accessible for non-tech users without compromising reliability or security.

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Hey Baris @baris_oner ,

Congrats on the launch of Beautiful.dev! The concept of building full-stack apps just by chatting with AI is super cool, and the clear preview vs production separation is a great touch.

I’m curious, how’s the response been so far? What kind of marketing strategies are you focusing on to promote the product? Would love to hear how things are progressing!

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一句话介绍：一款专为Web3从业者打造的加密原生AI工作空间，通过整合实时市场警报、智能合约工具与法律智能分析，在高速变化的加密市场中为用户提供一站式信息处理与决策支持，解决信息过载与工具割裂的痛点。

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Fintech Artificial Intelligence Web3

加密原生AI Web3工作空间智能合约工具市场分析预警区块链开发辅助加密货币交易智能审计法律智能一站式平台生产力工具

用户评论摘要：用户普遍认可其“一体化工作流”价值，节省多标签页切换时间；V2版本在界面成熟度、响应速度和用户体验上获好评；加密警报和智能合约审查是高频受赞功能。主要期待/疑问集中于：其审计功能能否真正压缩开发反馈闭环，以及市场推广策略。

AI 锐评

ChainGPT AI Hub V2的亮相，与其说是一次功能升级，不如说是对“Web3专用AI”这一细分赛道价值主张的再次强化。其核心卖点“No generic AI”直击痛点：通用大模型在解读链上数据、代币经济模型和实时市场语境时存在结构性短板。产品将警报、分析、合约生成与审计、法律智能打包，本质上是在售卖一种“认知减负”服务，帮助交易员、研究员和开发者从信息泥沼中挣脱。

然而，其真正面临的考验并非技术集成度，而是专业壁垒与市场规模的悖论。产品力图面面俱到，从交易到开发，但每个垂直领域都存在已有巨头（如交易端的TradingView，开发端的OpenZeppelin）。其优势在于“串联”，但深度是否足以让专业人士放弃原有精专工具，仍待观察。评论中提及的“压缩审计反馈循环”点出了关键：若能将其AI审计深度整合进开发流程，成为智能合约部署前的必备质检环节，而非事后补充，则可能构建起真正的护城河。

当前版本更像一个功能强大的“瑞士军刀”，但Web3领域的用户既需要军刀的便捷，也需要手术刀的精准。产品的长期价值取决于其能否在某一两个核心功能上（如智能合约安全或法律风险解读）建立难以替代的权威性，从而从“有用的工具箱”进阶为“不可或缺的基础设施”。在加密市场追求“alpha”的背景下，其工具提供的洞察是沦为泛泛之谈，还是能持续产出稀缺的、可操作的“认知差”，将是衡量其成败的终极标尺。

查看原始信息 ▼

ChainGPT AI Hub

ChainGPT AI Hub is a crypto-native AI workspace built for traders, researchers, and builders who need clarity in fast-moving markets. It combines crypto alerts, market analysis, smart contract tools, legal intelligence, and AI-powered trading for Web3 workflows. AI Hub V2 boosts performance and accuracy, enabling faster market tracking, on-chain insight, and risk assessment. Purpose-built for crypto. No generic AI. Just tools that understand the market.

Hey Product Hunt! We’re excited to share ChainGPT AI Hub, our crypto-native AI workspace built for people who actually work in Web3. General AI tools struggle with on-chain data, token mechanics, smart contracts, and fast-moving market context. AI Hub was built specifically to handle those problems, from real-time crypto alerts and trading analysis to smart contract generation, auditing, and legal intelligence. V2 brings meaningful upgrades across the platform, and we’d love your feedback on what works, what doesn’t, and what you’d want to see next. Happy to answer questions in the comments. — Ilan Rakhmanov, Founder and CEO of ChainGPT

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@chaingptai I've been using ChainGPT for a while and find it really convenient, especially when I need to quickly check contracts or on-chain news. It saves me from having to open a bunch of tabs

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@chaingptai That’s the underrated part workflow compression. When tools remove friction, you actually use them.

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@chaingptai Congrats

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I spent some time testing AI Hub V2 , and it left a genuinely good impression. The interface feels more mature and organized, which makes navigating between tools much easier than before. I especially liked how fast the AI responses are now — it makes research, idea generation, and quick checks far more comfortable. Some small UX touches show that the team actually thought about how people use the product day to day, not just how it looks. Overall, it feels like a meaningful upgrade rather than just a visual refresh. Respect to the team for the progress and attention to detail.

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Impressed by how powerful and user-friendly ChainGPT AI Hub is. It’s bringing real AI utility to blockchain users and developers—this is the future of Web3 innovation. 💡

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Crypto Alerts is easily one of my favorite features. It cuts through the noise and helps me spot relevant market moves without having to track everything manually.

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Hey @chaingptai ,

Congrats on the launch of ChainGPT AI Hub! It seems like a really powerful tool for those working in Web3 and crypto. The crypto alerts and smart contract tools must be super helpful in such a fast-moving space.

I’m curious, how’s the response been so far? Any marketing goals or strategies you’re focusing on to get the word out? Would love to hear how things are shaping up for you!

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@ChainGPT AI Hub

I’ve been using ChainGPT for some time now, and it’s been really convenient—especially for quickly reviewing contracts or staying updated on on-chain news. It saves me from having to open multiple tabs.

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I’ve been using ChainGPT for some time now, and it’s become a really handy tool. It’s especially useful when I need to review contracts or catch up on on-chain updates quickly. Being able to get everything in one place saves me the hassle of jumping between multiple tabs.

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I am so excited for this platform and nice working 😃

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ChainGPT AI Hub brings together a powerful set of GPT-based tools in one place. I’ve used it to generate technical explanations, smart content ideas, and quick code snippets — all without switching between platforms. The interface is clean, responses are relevant, and it feels like having a personal AI assistant for both work and creativity. Definitely worth checking out!

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Been using @chaingptai for a while and it’s a total game-changer! It’s my go-to for quick contract checks and staying updated on-chain. Definitely saves me from the 'too many tabs' headache. 🔥

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I personally love ChainGPT AI Hub,it like chatgpt but for crypto and web3,it feels purpose built for crypto users

The on chain insights and alerts are practical way beyond just hype

I'll also say AI Hub V2 is fast clean and useful for real market analysis

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This is awesome ChatGPT is really making waves in web3

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i love chaingpt they give every share for little creator everybody earn for his own efforts buzz is also nice ..keep it up

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this is interesting, especially because the pain point is real. audits today are slow, expensive, and usually happen way too late in the dev cycle. if this actually lets teams catch issues early and iterate safely before a formal audit, that alone is a big shift.

the real value won’t be replace auditors, but compressing the feedback loop so developers don’t ship blind.

curious how it handles context heavy issues versus pattern based ones.

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Crypto Alerts is easily one of my favorite features. It cuts through the noise and helps me spot relevant market moves without having to track everything manually.

▲ 0

This is where innovation and opportunity meet It has amazing features

▲ 0

ChainGPT AI Hub is a major evolution in the crypto AI workspace. We can’t wait to take advantage of its new capabilities🥰

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We are excited to launch the ChainGPT AI Hub! This space will help us work best in the Web3 world.

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一句话介绍：AI Engage通过自动化、地理定位的提示活动，主动“教育”AI搜索引擎理解品牌内容，解决了企业在AI搜索时代难以被准确推荐和引用的痛点。

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Marketing Artificial Intelligence Search

AI搜索引擎优化品牌AI可见性多引擎覆盖地理定位活动内容教育搜索端点自动化营销 AI品牌分发搜索分析多语言支持

用户评论摘要：创始人阐述了产品逻辑，强调从优化关键词转向教育AI。用户认可其将AI模型视为分发渠道的新思路，并称赞其UI。整体反馈积极，认为其开创了新品类。

AI 锐评

AI Engage的本质，是试图在AI搜索的“训练数据层”进行干预的早期工具。其宣称的“教育AI”，实则是通过模拟海量、多地域的真实用户查询，主动向Google AI Search、ChatGPT等公共搜索端点“投喂”品牌内容，以期影响这些模型在生成答案时的引用和推荐概率。这确实跳出了传统SEO的框架，从争夺页面排名转向争夺模型心智。

其核心价值在于“系统性”和“数据反馈”。它不再让品牌被动等待AI爬虫的偶然光临，而是主动组织查询战役，并有分析工具追踪效果。这为品牌提供了一种可操作、可衡量的新渠道，尤其是在AI搜索答案直接终结用户查询、不再提供流量来源列表的当下，这种“被引用”的能力可能比“被排名”更为关键。

然而，其面临的挑战同样尖锐。首先，效果存疑且难以归因：各大AI搜索引擎的学习机制、数据源权重均为黑盒，这种外部提示活动能在多大程度上“教育”模型，缺乏透明验证。其次，可持续性风险：一旦平台方将其识别为系统性操纵行为并加以限制，整个方法论可能失效。最后，它可能开启一场新的“军备竞赛”，当所有品牌都涌入时，单个活动的边际效益将迅速递减。

总体而言，AI Engage是一个应运而生的投机型工具，它敏锐地抓住了AI搜索范式转移初期的规则模糊地带。它提供的不是长期稳定的解决方案，而是一个在窗口期内进行策略性卡位的“雷达”和“探针”。其真正贡献在于提出了一个尖锐的问题：当搜索变成对话和答案生成，品牌的“搜索营销”究竟应该在哪里发生？

查看原始信息 ▼

AI Engage: Train AI Search Engines

AI Engage introduces a new way to win in AI Search. Instead of optimizing for keywords, it systematically educates AI search engines about your brand by prompting models to fetch and analyze your real content. Automated campaigns engage Google AI Search, ChatGPT Search, Perplexity, and Microsoft Copilot using realistic user queries. Campaigns run in six languages across 150 million geo targeted IPs, with analytics to track visibility and performance by market.

Hey Product Hunt, Josef here, founder of Akii. Search has changed faster than most brands realize. It’s no longer just about ranking pages. AI systems like Google AI Search, ChatGPT, Perplexity, and Copilot now decide which brands get explained, cited, and recommended in answers. That’s why we built AI Engage. AI Engage lets brands systematically educate AI search engines about who they are, what they do, and when they should be recommended. Instead of optimizing for keywords, it runs automated, geo targeted campaigns that prompt AI models to analyze and learn from your real web content over time. Campaigns run across multiple AI search engines, multiple languages, and real user query patterns, using public search endpoints that AI systems already learn from. The goal is simple: help AI understand your brand accurately and consistently at scale. If you care about how AI search represents your brand in 2026, this is built for you. Happy to answer questions and go deeper on how it works.

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awesome UI, loving this already!

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@osakasaul Thanks Saul, appreciate that a lot!

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Love seeing AI models treated as distribution channels, not a black box you hope understands your site. AI Engage feels like a new category, not just "AI SEO".

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@nicole_scott4 Appreciate that, Nicole. That’s exactly how we see it. Once you treat AI models as distribution channels instead of a black box, the strategy changes completely. AI Engage is built around that shift. Glad it resonated with you.

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一句话介绍：TravPick是一款通过拍摄货架照片，利用AI自动识别产品、提取关键成分标签并生成多语言清晰摘要的购物决策助手，在海外购物、美妆和食品选购等场景中，帮助用户克服选择困难，实现个性化快速决策。

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Productivity Shopping Personal shopper

购物决策助手 AI图像识别个性化推荐成分分析多语言支持消费科技选择困难症海外购物美妆个护食品选购

用户评论摘要：用户高度认可其“成分标签+摘要”的核心价值，认为它超越了单纯的产品识别。主要建议包括：增加更明确的推荐理由说明（如“更低糖”）、开发实时识别功能、建立用户偏好档案、提供替代品推荐、增加检测置信度提示。团队积极回应，强调透明度与可信决策是产品基石。

AI 锐评

TravPick切入了一个精准且普世的痛点——信息过载时代的选择疲劳。但其真正的野心，并非做一个更快的“搜索引擎”，而是试图成为用户决策框架的**外部构建者**。这比单纯识别产品要深刻得多。

它的核心价值链条是“图像→结构化数据→个性化解释”。绝大多数竞品止步于前两步，而TravPick试图攻克最难的第三步：将成分、功能等数据，翻译成与个人情境相关的“决策理由”。这使其从“工具”向“顾问”跃迁。用户评论中反复出现的“信任”、“透明”、“解释为什么”，恰恰印证了市场对“可信AI代理”的渴求，而非另一个信息瀑布流。

然而，其面临的挑战同样严峻。**首先，是推荐的“客观性”幻觉。** 团队声称不受广告影响，但“个性化”算法本身必然内置价值判断。将“高蛋白”、“无香精”标记为优点，已是某种引导。真正的中立近乎不可能，如何管理这种不可避免的偏见，将是长期命题。**其次，是场景的“纵向”与“横向”拓展矛盾。** 评论中既期待更深的个人偏好学习，又要求更广的全球商品覆盖。在资源有限的情况下，是深耕美妆、食品等垂直领域建立权威，还是快速扩张品类成为通用平台？这关乎生死。**最后，是其商业模式与核心价值的潜在冲突。** 一旦引入价格比较和购买链接，难免滑向佣金驱动。如何平衡“用户决策代理”的中立立场与商业变现，是悬顶之剑。

总体而言，TravPick展现了一个极具潜力的AI应用范式：不创造信息，而是重构信息的呈现逻辑，以服务于人的决策心智。其成败关键在于，能否在技术扩张的同时，坚守“透明与解释”的产品初心，真正成为用户利益的“数字受托人”，而非又一个精巧的引流渠道。首日3000人排队体验的数据，验证了需求的存在；而能否将这份新鲜感转化为持久的信任，才是真正的试炼。

查看原始信息 ▼

TravPick

TravPick helps people cut through choice fatigue by letting them simply snap a shelf to get personalized picks. It auto-detects products, extracts key ingredient tags, and generates clear summaries in multiple languages. In just one day, over 3,000 people tried TravPick — with many waiting more than 30 minutes just to experience it. We’d love your feedback as we bring this new, smarter way of shopping to more stores.

TravPick’s “ingredient tagging + summary” approach is what makes this stand out to me. Lots of apps can recognize products, but the real value is: why is this a good pick for me? If you can translate a shelf into understandable tags and then make a recommendation with a short explanation, that’s a real decision aid—not just computer vision.

One suggestion that would make it even stronger: a “Why this pick” section that’s super explicit—e.g., “Lower sugar than similar items,” “No fragrance,” “High protein,” “Matches your preferences,” etc. That transparency is what builds long-term trust.

Great concept and very clear positioning.

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@31xira Thank you so much — this really captures what we’re trying to build.

We strongly agree that recognition alone isn’t enough.

The real value is explaining why something is a good fit for you.

The “Why this pick” idea is especially spot-on making criteria
like “lower sugar,” “no fragrance,” or “matches your preferences” explicit is exactly how we think long-term trust is built.

We’re actively iterating on how transparent and understandable those reasons should be.

when you shop, which kind of “why” matters most to you?

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Hi everyone 👋

This is NOT Meta Glasses.
Tired of advertisements telling you what to buy?
TravPick helps you choose without them.
Food & beauty shopping made simpler — wherever you are.

TravPick started with a simple question:
“Why is choosing a single product this hard?”

In stores, you face shelves stacked with nearly identical options.
Online, you get overwhelmed by ads and sponsored reviews.
When traveling, you often have no idea what the local products even are.

We realized this daily decision fatigue isn’t a minor inconvenience —
It’s a genuine problem affecting shoppers everywhere.

So we decided to focus not on search, but on discovery.

📸 Just take a photo, and instantly understand what’s right for you.

🌍 How TravPick is different

Not a simple database lookup — it analyzes real shelf photos instantly
No ads, no influencer noise — just the true essence of each product
Extracts structured insights: ingredients, keywords, functional features
Personalized discovery based on your skin type, preferences, and habits
Works for global shopping: drugstores, supermarkets, travel destinations, online shopping
AI interprets the product, compares it, and gives you a clear decision framework

Everything is designed to help you choose with clarity — not confusion.

✨ Core Features

📸 Scan an entire shelf with one photo

🏷️ Automatic extraction of product keywords & benefits

🧴 Easy-to-understand ingredient summaries

🛒 Price comparison & purchase links (lowest-first)

🔍 Product-to-product comparison (coming soon)

🌐 Global support for 7 core languages:
English, Korean, Chinese, Japanese, Spanish, French, German

🚀 Why this matters
People hesitate not because they don’t want to choose —
but because they don’t know how to choose.
When the right criteria are presented clearly,
your decisions become fast, confident, and stress-free.
TravPick provides that clarity.

📲 How to use TravPick

Take a photo of any product or store shelf
See the essentials instantly — key features, ingredients, suitability for you
Ask questions in chat if you want deeper explanations or alternatives

Just point, shoot, and discover.

TravPick is building a new standard for better consumer decisions.
In a world overflowing with choices but lacking trustworthy criteria,
we want to help everyone make decisions with confidence and clarity.

No endless searching.
No complicated comparisons.
No reliance on ads or sponsored reviews.
One photo is all you need.

Whether you’re traveling, shopping in-store, or browsing online,
TravPick helps you choose faster, smarter, and more personally.

— The TravPick Team

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Is it only photo-based, or can it identify products in real time too? If real-time isn’t supported yet, are you planning to add it in a future update?

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@zi_woo Thanks for your opinion!
actually Live, real-time recognition is not supported yet.

However, it’s something we’re actively considering for future updates once we can ensure it meets our standards for accuracy and user experience.

We chose a photo-first approach because it:

Works reliably in real offline environments
Allows users to get clear results with a single action
Provides better accuracy and explainability around why a product is recommended

Our priority isn’t just speed —

it’s helping users make trustworthy, understandable decisions.

Real-time recognition will be added when it supports that goal, not compromises it

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Congrats the launch!

How do you make sure the recommendations stay unbiased and not influenced by ads or sponsored products?

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@hee323 thank you naehee!
Our recommendations are based on:

Real product attributes detected from photos (ingredients, features, labels)
User-defined criteria and personal preferences
Clear, transparent explanations of why a product is recommended

Our goal is not to say “Buy this.”

It’s to help users understand their options and make decisions they genuinely agree with.

We believe trust doesn’t come from persuasion, it comes from transparency and clarity.

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The shelf-scan workflow is one of those “wow” moments that actually feels useful, not gimmicky. People don’t want to read 20 labels or compare 10 products—they want a short list of “good options for me” and a clear explanation.

Also, if you’re seeing thousands of people trying it in a short window, that’s a strong signal the problem is real. Most of us have experienced that “standing in the aisle, overwhelmed” moment—food, skincare, supplements, you name it.

Wishing the team a great launch day. I’m curious how you’ll expand the store coverage and keep the recommendations accurate across regions.

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@angie_wang1101
Thank you so much!
that “wow” moment is exactly what we’re aiming for.

We agree: people don’t want to read 20 labels or compare 10 products.

They want a short list of options that fit them, with a clear reason why.

Seeing thousands of people feel the same overwhelm in such a short time was a strong signal this is a real problem.

For expansion, we’re improving photo-based understanding beyond catalogs and layering local context (language, labels, standards) to keep recommendations accurate and explainable.

Really appreciate your thoughtful feedback 🙌

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Very strong idea, and the demo makes the value obvious quickly. A few features I’d personally love to see as you iterate:

A way to save “my preferences” (allergens, avoid/like ingredients, budget, diet style, skin concerns) so recommendations get better over time
A quick “swap” option: “Give me 3 alternatives that are similar but better on X” (e.g., lower sugar / fewer irritants)
Confidence indicator: shelf photos can be messy, so showing when detection is uncertain would help users trust the output
Offline / low-connectivity mode for travel (even partial)

Overall, the core workflow is super compelling. If you nail speed + trust + personalization, this could be a daily habit product.

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@nevermindiforgiveyou
Thank you so much for such a thoughtful and concrete breakdown.

You’re touching exactly on the areas we’re actively thinking about.

We’re still actively upgrading our models to identify each individual product more accurately — especially in complex, real-world shelf photos.

That said, every point you mentioned is exactly what we believe is necessary to make TravPick more than a one-off tool.

Our goal is to turn it into a decision assistant people trust and use as a habit.

Speed, trust, and personalization are the three pillars we’re building around, and feedback like yours helps us stay focused on what truly matters.

Thank you again for sharing such thoughtful insights 🙌

▲ 0

This feels like it could become the “Google Lens for smarter shopping,” but with personalization and context. I can see it being especially useful in travel scenarios: you walk into a local store abroad, don’t recognize brands, labels aren’t in your language, and you just want to make a safe/good choice quickly.

The “stop comparing, start personalizing” tagline is on point. Comparison tools usually create more mental load; personalization reduces it. If you keep the app focused on helping people decide in the moment, it’s going to resonate.

Congrats on the launch—this is a refreshingly concrete way to apply AI in daily life.

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@xingran_wang_ you captured our intention really well!
TravPick is especially designed for travelers.

when you're in an unfamiliar store abroad— unknown brands, foreign labels, limited time — you just want to make a quick, safe choice without overthinking.
TravPick helps in those moments by turning a single photo into clear, understandable criteria, so you can decide with confidence.

Thank you for such a thoughtful perspective
feedback like this truly helps shape where TravPick goes next 🙏

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woooo i love that!! i can think about using it for Wine, always take me 20min to choose :D

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@eduardo_schuch
In our food survey, users can select taste preferences, openness to new flavors, and favorite cuisines.
so finding a well-matched wine takes less than 30 seconds!

We also consider everyday diet, nutrition goals, religious restrictions, and health-related allergies, which helps people discover food that truly fits them — instantly and confidently.

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Love the “photo → personalized decision criteria” angle, it feels like a genuinely helpful way to cut through ads/sponsored reviews, especially in food & beauty and when you’re shopping abroad.

▲ 1

Love how lightweight this feels.

Instead of adding more information, TravPick seems to focus on helping people decide faster.

The “one photo → clarity” approach feels very aligned with real in-store behavior.

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@minsoo_park
We’re trying to remove the “ugh..” moment and replace it with a clear next step.

Those choices also generate meaningful offline behavior data :
useful not just for shoppers, but for brands trying to understand how people actually decide in-offline store.

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一句话介绍：Bilt.me 是一款AI智能体，能将自然语言描述或现有Web应用快速转换为原生移动应用，旨在解决非技术创业者及团队在移动应用开发中面临的速度慢、技术门槛高、成本昂贵的核心痛点。

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Artificial Intelligence Apple Development

AI原生应用开发无代码开发平台 Web应用转移动应用快速原型创业工具移动应用生成 AI智能体产品实验应用部署创新加速

用户评论摘要：用户反馈积极，认可其“从想法到应用商店仅需一小时”的愿景。有效评论集中于功能确认与集成需求：团队证实了Supabase等后端集成能力；用户询问与现有项目兼容性、后端生成（如支付、认证）及GitHub集成细节，表明用户关注生产就绪性与扩展性。

AI 锐评

Bilt.me 宣称的“通过AI构建真实原生移动应用”直击了一个长期存在的市场矛盾：移动端需求的爆发式增长与原生开发资源稀缺、流程冗长之间的鸿沟。其价值主张并非简单的“又一个无代码工具”，而是试图成为从创意到可部署产物的“即时编译引擎”。产品介绍中“将移动应用创作变得像写下想法一样无摩擦”的表述颇具野心，这暗示其目标不是服务严谨的工程迭代，而是捕捉并快速验证那些转瞬即逝的创新灵感。

然而，其真正价值与面临的挑战同样鲜明。核心价值在于**极大压缩了“概念验证”周期**，可能催生出一波由非技术背景创业者驱动的微型应用实验浪潮，特别是在轻量级工具、社区应用和内部效率工具领域。团队评论中透露的从单体到微服务再折返的技术栈摇摆，以及“对废弃API端点进行技术怪招”的自述，恰恰揭示了这类平台的核心困境：在追求生成速度与灵活性的同时，**如何保证生成应用的可维护性、性能与长期演进能力？** 用户评论中对Supabase、GitHub集成及后端功能的关切，正反映了早期采用者对其“生产就绪”承诺的谨慎试探。

当前阶段，Bilt.me 更像一个强大的“原型加速器”而非“开发替代品”。它的成功与否，将不取决于能否生成“下一个Facebook”，而在于能否在生成应用的代码质量、架构清晰度与生态集成深度上建立可靠标准。否则，它可能只是将开发瓶颈从“从零开始编写”转移到了“对生成代码的深度调试与重构”上。其愿景能否实现，取决于团队能否在“快速生成”的魔法背后，构建起坚实的工程体系。

查看原始信息 ▼

Bilt.me

Build and launch production-ready native mobile apps with AI. Prototype, collaborate, and deploy faster — no coding required. Build from scratch or auto deploy Web Apps into Mobile Apps. By making mobile app creation as quick and frictionless as writing a thought, we aim to unlock a wave of innovation where anyone can turn fresh ideas into working native apps the moment inspiration strikes.

Thanks for checking out Bilt! We built this out of the first hacker house in Estonia, after spending months developing our own mobile apps and hitting the same wall over and over again: making mobile apps was still way too slow, too technical, and too expensive for most founders. Bilt started as an internal tool to turn prompts into mobile apps for our own experiments. Then friends started asking for it. Then their friends. At some point, we realised we weren’t just building apps anymore, we were building the tool we always wished existed. Today, Bilt generates full mobile apps from a few prompts or deploys your existing Web App into Mobile, and we’re shipping every week to make that experience better, faster, and more reliable. If you’ve ever wanted to go from idea → working app in minutes, Bilt is for you. Happy to answer questions and show what’s under the hood! — Uku & the Bilt team

▲ 20

Hey!

A lot of blood, sweat and tears went into creating Bilt. Pivoting from monolith to microservices back to monolith like a typical startup, doing technically weird hacks with deprecated API endpoints, but we truly believe that our platform can give everyone a chance to build their dream app - may it be the next Facebook or just some tool that You've missed in Your life.

Let us know what You think!

▲ 9

if you want passive income, just come and build with bilt, you can get your mobile app from an idea to app store in an hour.

▲ 6

Huge if true

▲ 5

@joosep_sibul1 It's true, you can trust me.

▲ 3

will this work with my existing lovable projects ?

▲ 4

Was waiting for this launch, I really needed the github and supabase integrations to release !!

▲ 3

Hi! Good Job! Does Bilt generate backend as well? For features like payments, auth, ai-agents, etc.

▲ 2

@alexander_ostapenko2 Yeah, you can integrate Supabase for databases and securely add secrets for other API integrations.

▲ 2

Great product and even better team behind it, definitely recommend to try it out!🚀

▲ 1

Hey Uku @biltme ,

Congrats on the launch of Bilt! It’s exciting to see a tool that makes building mobile apps so easy and quick without the need for coding.

I’m curious, how’s the response been so far? What kind of marketing strategies are you focusing on to promote Bilt? Would love to hear how things are shaping up for you!

▲ 0

一句话介绍：MethodsAgent是一款提供基于经典商业与营销框架训练的专属AI智能体平台，让用户无需学习提示词即可快速生成营销漏斗、活动、外联方案与定位策略，解决了从理论到实践的执行鸿沟。

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Sales Marketing Artificial Intelligence

AI智能体营销自动化商业框架无代码工具策略执行创业工具专家系统内容生成营销策划教练式AI

用户评论摘要：用户认可其解决“从知到行”痛点的定位，并对“无幻觉”技术实现方式（RAG管道）表示好奇与肯定。主要问题集中于如何确保建议质量、未来框架扩展计划以及具体的市场推广策略。

AI 锐评

MethodsAgent的核心理念并非简单的“AI生成营销文案”，而是试图封装“专家方法论”并将其转化为可交互、可执行的决策流程。其宣称的“无幻觉”背后，是通过严格的RAG架构将LLM约束在既定知识框架内，这本质上是用确定性知识库限制生成模型的创造性，以换取可靠性与专业性。这种“框架优先”的策略是一把双刃剑：它精准切中了渴望方法论却缺乏执行力的创业者焦虑，提供了结构化的安全感；但同时也可能将复杂多变的商业现实，简化为有限框架内的标准化问答。产品真正的挑战在于，那些被奉为经典的营销框架（如StoryBrand、蓝海战略）本身就需要深度情境化理解与灵活变通，AI能否在“严格遵循框架”与“适配用户独特情境”之间取得平衡，仍是未知数。其长期价值不在于“50+框架”的数量积累，而在于能否建立让框架持续进化、并真正内化为用户商业能力的交互机制。目前看，它更像一个结构化的高级查询向导，而非拥有真正战略思维的“专家”。

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MethodsAgent

MethodsAgent gives you specialized AI agents trained on proven frameworks. Build funnels, campaigns, outreach, and positioning in minutes — without prompts or learning curves.

Most builders would relate to the headline! That's a right problem to solve. let's go @pierremouchan

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@neelptl2602 Thank you, Neel!

I'm building the “Cursor for Marketing.” If you’re familiar with Cursor and AI agents, this should spark your curiosity ;)

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@pierremouchan it does. Hope it becomes big 🤌

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Hi Product Hunters! 👋 I'm Pierre, maker of MethodsAgent. For years, I fell into the same trap: I'd read a brilliant business book like The Mom Test or Zero to One, get super inspired, and then... do absolutely nothing with it... 📉 The gap between reading a methodology and actually applying it to my specific problems felt huge. I didn't want to just "know" the theory; I wanted a world-class expert sitting next to me, telling me exactly how to apply it to my startup. That's why I built MethodsAgent. Think of it as a GPT Store for specialized, high-impact playbooks. Instead of generic advice, you get hyper-specific agents trained on the exact frameworks used by the world's best entrepreneurs. It's like having GaryVee, Rob Fitzpatrick (The Mom Test), or Donald Miller (StoryBrand) on your team, 24/7. 🧠 Key Features: 📚 50+ Curated Playbooks: Access legendary frameworks like GaryVee’s Content Repurposing, The Mom Test, StoryBrand SB7, Hook Model, and Blue Ocean Strategy. 💬 Guided "Coaching" Mode: The agents don't just vomit text; they interview you, challenge your assumptions, and guide you step-by-step through execution. 🎯 Tangible Outputs: Generate actual assets—content calendars, customer interview scripts, positioning statements—not just "insight." I'd love your feedback: I am launching with 50+ marketing and strategy agents. Which specific framework or book would you like to see next? 👇 Let me know in the comments!

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Good luck, Pierre!

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@natiakourdadze Thank you so much!

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Hey Pierre, this is cool, marketing is definitely the biggest area to crack for launching founders now that building has become easier.

You mention that you have been able to handle hallucinations, and the platform "doesn't hallucinate", how do you do that?

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@tony_lewis1 You're right to be skeptical!!
zero hallucinations is a strong claim... However, we minimize it structurally by treating the LLM as a reasoning engine, not a knowledge base ;)

Instead of letting the model "guess" based on training data, we constrain it to a RAG pipeline backed by 50+ marketing frameworks. The agent constructs answers only from this retrieved context. If the answer isn't in the playbook, it’s instructed to ask clarifying questions rather than invent facts ;)!

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Hey Pierre @pierremouchan ,

Congrats on launching MethodsAgent! The concept of specialized AI agents trained on proven frameworks sounds really interesting, especially with the playbooks and guided coaching mode.

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

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would it give me the best advice? There are so many options, I'm confused

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@sarvesh_kumar18 Yeah! it will give you the best possible output based on its trained data, I plain to add more and more usage/data/frameworks in the following days. (+ multi tool calls)

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一句话介绍：一款AI驱动的Chrome扩展，通过智能自动填充求职表单、追踪申请状态和管理跟进提醒，在用户海投简历时，解决手动重复输入信息耗时耗力、导致求职倦怠的核心痛点。

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Productivity SaaS Career

求职工具浏览器扩展 AI自动填充申请追踪效率提升求职自动化 SaaS Chrome插件生产力工具招聘辅助

用户评论摘要：用户反馈普遍认可其解决了求职时重复填表的真实痛点，认为将申请从数小时缩短至几分钟是巨大价值。评论集中于肯定产品洞察（数据录入是瓶颈而非职位发现）及源于开发者自身挫折的共鸣，无具体功能建议或问题提出。

AI 锐评

JoBot切入了一个狭窄但疼痛感极强的场景：技术求职者（尤其是工程师）的海量申请流程自动化。其真正的价值并非技术创新，而在于对“求职漏斗”最底端、最枯燥环节的精准优化。它将求职者从“信息搬运工”的角色中解放出来，本质上是在对抗求职过程中的“决策疲劳”与“行动阻力”——手动填表每增加一秒，放弃申请的概率就增加一分。

然而，其商业模式和长期价值面临清晰的天花板与挑战。首先，产品高度依赖第三方求职网站的表单结构，任何重大变动都可能影响填充准确率，维护成本隐而不显。其次，其核心功能（自动填充）技术壁垒有限，极易被大型招聘平台或浏览器原生功能集成，作为独立扩展的护城河较浅。最后，其“追踪”和“提醒”功能目前看来较为基础，若不能与邮箱、日历深度整合，形成智能的求职CRM系统，则很难提升用户粘性和客单价。

当前的热评反映的是早期采纳者（多为创业者、产品人士）对“痛点共鸣”的赞赏，而非广泛用户的功能性验证。产品能否成功，关键在于能否从“解决开发者自身问题”的工具，演进为服务更广泛求职群体（如非技术岗位、跨领域申请者）的可靠平台，并探索出超越一次性下载的可持续收入模式。否则，它可能只是一个精彩的“痛点验证”案例，而非一个能规模化的商业产品。

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JoBot - Job Autofill & Tracker

Engineers waste valuable time manually filling out job applications and repetitive forms. JoBot, an AI-powered Chrome Extension, focuses on instant application submission through intelligent autofill, tracking status, and managing follow-up reminders. This eliminates the manual chore, letting you concentrate on interview prep. Find the job; the extension handles the paperwork.

Hello Product Hunt! 👋

I'm the maker behind JoBot: Job Autofill & Tracker, and my product's story comes directly from pure job-hunting burnout. 😫

Every time I looked for a new role, the process was the same: apply to 15-20 jobs daily, waiting 1-2 months for enough volume to generate callbacks. The worst part? The time commitment. There were many days I only applied to 3-4 jobs because of manual entry burnout or simply avoiding applications altogether due to their sheer length. ✍️ I realized data entry was the biggest bottleneck, not finding the job itself.

That frustration led me to build JoBot. 💡

JoBot is a Chrome Extension 🤖 that acts as your personal application assistant. It reads your resume and profile once, and then intelligently auto-fills those tedious job applications for you across the web. It eliminates that reluctance to apply!

The result? What used to take hours now takes minutes. I can literally apply for 20 jobs in under 5 minutes! 🚀 That's a huge time-saver! ⏱️

If you’re tired of repetitive data entry being the enemy of your job search, give JoBot a try! I’d love to hear your feedback on our launch today! 🙏

Get the Chrome Extension: JoBot: Job Autofill Tracker

Check out the Webapp: https://job4you.pro

Thanks for checking it out, and happy hunting! 🙌

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Great product! Solves a real use case when someone is applying at multiple places during a job search!

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@chinchang457 glad you like it, thanks for kind words 😊

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Congrats on the launch 🚀 This hits a very real pain point.

The repetitive data entry in job applications is exhausting and often the biggest reason people stop applying consistently. Your insight that data entry, not job discovery, is the real bottleneck is spot on. Turning hours of work into minutes and enabling 20 applications in under 5 minutes is a huge value add.

Love that JoBot came from your own frustration—those usually make the best products. Excited to try it out and wishing you a great Product Hunt launch 🙌

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@ajay_yadav_1829 Spot on! The goal was exactly that: more job applications, less burnout. 🤖 Really appreciate the kind words and the PH launch wishes, means a lot!

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All the best with it!

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一句话介绍：一款AI驱动的习惯追踪应用，通过拍照记录饮食和整合多维度健康数据，为厌倦复杂健身软件的用户提供无压力的可持续健康习惯养成方案。

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Health & Fitness Artificial Intelligence Lifestyle

健康科技习惯养成 AI营养识别卡路里追踪生活方式管理极简设计个人健康助理数据可视化行为科学移动应用

用户评论摘要：用户主要关注功能细节：是否支持自制食物识别、是否需要可穿戴设备、能否调整热量目标、睡眠数据如何同步。核心建议包括增加一致性打卡奖励。开发者积极回复，明确了产品“习惯优先”而非单纯计数的核心理念，并收集反馈用于路线图规划。

AI 锐评

MyFitFix的入场，精准刺中了当前健康科技领域一个被过度复杂化的痛点：数据崇拜导致的用户倦怠。它表面上是又一个“AI拍照识食物”的应用，但其真正的差异化价值在于战略性的“功能减法”与“心智定位转移”。

产品没有沉迷于提供更精确的宏量营养素分析或更丰富的运动库，而是将“可持续性”作为最高设计原则。其推出的“FitScore”、“习惯连胜”机制，本质上是将健康管理游戏从“精确度挑战赛”重构为“一致性养成游戏”。这巧妙地避开了与MyFitnessPal等巨头的正面数据战争，转而争夺用户有限的心智带宽和情绪资源。其目标用户画像清晰：不是健身狂热者，而是那些因“完美主义”而屡屡受挫、最终放弃的“健康沉默大多数”。

然而，其面临的挑战同样尖锐。首先，其“温和推动”的哲学与用户对“有效性”的硬性期待之间存在张力。当用户（尤其是减重需求者）未看到直观的体重或体型变化时，这种“不施压”的设计是否会反被质疑为“不够有效”？其次，其数据根基存在矛盾：一方面宣称无需复杂设备，另一方面又重度依赖Apple Health/Google Fit的自动化数据流。对于非穿戴设备用户，手动录入睡眠、步数等数据将立即破坏其主打的“无压力”体验，形成体验断层。

从评论区的积极互动可以看出，开发团队深谙早期社区运营之道，将Product Hunt发布本身转化为一次高效的用户需求探针。但长远来看，产品的护城河在于其AI识别的准确度能否支撑起“轻松记录”的承诺，以及其行为科学模型能否真正产出可感知的健康结果。它是一场针对用户健康心理的优雅实验，但实验的成功，最终需要超越“感觉良好”的硬指标来证明。

查看原始信息 ▼

MyFitFix

MyFitFix is an AI-powered calorie and habit tracker built for people who hate complicated fitness apps. Take a photo to log meals in seconds and manage sleep, steps, water, protein, and exercise in one clean dashboard focused on daily consistency. Instead of obsessing over numbers, MyFitFix focuses on consistency using habit streaks, a weekly FitScore, and gentile nudges.

👋 Hey Product Hunt! I am Woody Firdu, I’m excited to share MyFitFix with you.

MyFitFix is a simple, clean habit + nutrition app built for busy people who want to get healthier without overthinking it.

What you can do in the app:

📸 Snap a photo of any meal → instantly get calories, macros, and nutrition info
💤 Track sleep, 🥤 water, 🏋️‍♂️ exercise, 🚶 steps, and 🍗 protein
⭐ Stay motivated with weekly FitScores, trophies, and small habit wins
🔔 Get gentle nudges and tips to help you stay consistent

I built MyFitFix to solve my own problem — I was too busy for complicated, manual fitness tracking.
The app focuses on building sustainable habits, not perfect tracking.

I’d love your feedback.

💬 How you can help:

Try it out and tell me what feels smooth vs. clunky
Suggest features that would make it more useful for your routine
Share any bugs or UX rough edges — I want to fix them fast

Thanks for checking it out and supporting MyFitFix 🙌

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Quick question for everyone checking this out 👋

If you were using MyFitFix daily, which habit would you want it to help you stay consistent with most — nutrition, water, sleep, steps, or workouts?

I’m prioritizing the roadmap based on real answers here 🙏

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Do i need wearables like apple watch or fitbit?

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@biruk_ayalew MyFitFix works fully on its own. Apple Health or Google Fit are optional and just help automate things like steps or activity if you already use them. You can use the app without any extra devices.

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@biruk_ayalew Good question, you don’t need a wearable like an Apple Watch or Fitbit to use MyFitFix — but the app does rely on synced data to power your habits.

If you connect Apple Health or Google Fit, MyFitFix pulls in things like steps, sleep, and workouts automatically, so you don’t have to log everything manually.

If you don’t use a wearable, you can still use MyFitFix as long as your phone is tracking and syncing that data through Apple Health or Google Fit.

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Does this app works for home made foods ? Or only for commercial places?

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@teferi_firdu Yes, it works for home-cooked meals too.

The AI looks at the overall plate and portions, not just packaged foods. It’s designed for real life, not perfect labels.

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A feature can be added where users receive rewards for consistent check-ins.

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@richard_rui Great idea — consistency is exactly what we’re optimizing for.

Rewarding regular check-ins is something we’re actively exploring, especially in a way that feels motivating without turning the app into pressure or noise. Feedback like this helps us prioritize what actually matters, so thanks for sharing it.

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Does it work for home cooked meals?

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@yoseph_tiruneh Yes! MyFitFix works with home-cooked meals too. The AI looks at your plate and portions, not just packaged or restaurant food, designed to fit real life, not perfect labels.

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Can I use this app if am trying to lose my weight

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What kind of feedback have you received from your testers and what inspired the development of myfitfix app?

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Does it help in building sustainable healthier eating habits? or just counting calories?

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@leykun_birhanu Great question — and an important one.

MyFitFix is not just a calorie-counting app. While calorie awareness is part of it, the core focus is building sustainable, healthier eating habits over time.

Instead of pushing perfection or constant manual logging, the app emphasizes:

Awareness over obsession with numbers
Simple, repeatable habits like protein intake, hydration, and regular movement
Consistency, tracked through a weekly FitScore rather than daily pressure

The goal is to help users make better choices naturally, without burnout. Calories are a tool — habits are the foundation. That’s what makes the progress more realistic, long-term, and maintainable.

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How does the sleep tracking work in the app, do I have to manually update my hours slept each day?

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@hanna_5 Good question, normally, you will have wearable either Apple or Google watches that will synchronize with our backend system to give you the results of hours of sleep. If you don’t want the wearables while sleep, you could be able to enter is manually.

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Can I adjust my calorie target within the app, for instance during periods of fasting?

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@simon_41 At the moment, MyFitFix doesn’t allow manual adjustment of calorie targets within the app. That said, this is a planned improvement and something we’re actively considering for future updates.

We recognize that many users adjust intake temporarily for religious fasting, intermittent fasting, or health-related reasons, and flexibility around calorie targets is important in those cases. Our goal is to support these real-life scenarios without making the app complicated or rigid.

For now, users can continue tracking meals and habits during fasting periods, focusing on awareness and consistency rather than strict daily targets. More customization — including fasting-friendly options — is on our roadmap as we continue to evolve the product based on user feedback.

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Hey Woody @myfitfix ,

Congrats on the launch of MyFitFix! The idea of focusing on building sustainable habits without the complexity of traditional fitness apps is refreshing.

How’s the response been so far? I’m curious, what kind of marketing goals or strategies are you focusing on to promote the app? Would love to hear how things are shaping up!

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@mfarhan1107 Hey Muhammad — thank you, really appreciate the kind words 🙏 So far the response has been encouraging, especially around the simplicity and habit-first approach. We’re getting thoughtful feedback from early users, which is exactly what we wanted at this stage. On the marketing side, we’re being very intentional and experimental. Right now the focus is on learning over scaling — testing different channels, messages, and audiences in small batches to understand what resonates most before doubling down. A mix of community-driven discovery, organic content, and early user feedback loops has been working well so far. The goal isn’t to push growth prematurely, but to build something people genuinely stick with. We’re using this phase to refine positioning, onboarding, and retention before turning up distribution. Appreciate the interest — happy to keep sharing learnings as things evolve 🚀

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definitely worth it

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@esayas_tekle Thank you for the comments. We really appreciate you for taking the time to check it out.

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Is this more habit-based or nutrition -based?

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@fitsum_aklilu Habit-first.

Nutrition matters, but habits are what make nutrition stick. The app intentionally focuses on a few high-impact behaviors instead of micromanaging everything you eat.

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Will I have to delete my current fitness app?

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@ann_nyambura1 No — you don’t have to delete your current fitness app. But most of our users are replacing their current app it except for your apple health or google fit sync. Since you have one place to get all your healthy habits.

Making food tracking faster and less stressful
Focusing on daily habits instead of endless metrics
Giving you a clear weekly FitScore to stay consistent

You’re free to use it on its own or as a complement — whatever fits your routine best.

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Does Myfitfix helps with personalized adaptive recommendations, calorie tracking and behavioral support?

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@abai7 Great question.
MyFitFix is a calorie-tracking app, and it doesn’t push complex personalized meal plans or constant behavioral prompts. That’s intentional.

Instead, MyFitFix focuses on simple, adaptive habit guidance around sleep, water, steps, protein, and exercise — using your consistency (via FitScore) to encourage sustainable progress.

You’ll get lightweight tips and nudges designed to support habits over time, without overwhelm, guilt, or micromanagement. The goal is behavioral support through clarity and consistency, not rigid optimization.

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Can I use this app if am trying to loose weight?

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@segen_getachew While MyFitFix isn’t built only for weight loss, it works very well if losing weight is your goal. The app focuses on the fundamentals that drive weight change: nutrition awareness, daily habits, and consistency.

By making food logging fast (photo-based), tracking key habits (protein, movement, sleep, water, steps), and summarizing progress with a simple weekly FitScore, MyFitFix helps you stay consistent without feeling overwhelmed. That consistency is what leads to sustainable fat loss over time.

At the same time, the app is flexible — it supports people who want to lose weight, maintain, improve energy, or simply build healthier habits. You don’t have to follow a rigid plan or be “perfect” for it to work.

In short: it fits weight loss goals, but it’s designed for real life and long-term health — not short-term extremes.

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How effective is the app in tracking ethnic foods? e.g. Injera and so?

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@yodit_tessema Great question — this was a key focus for us.

MyFitFix is designed to work well with ethnic and culturally diverse foods, not just standard Western meals. Our database includes 900,000+ ethnic foods, including Ethiopian dishes such as injera and common sauces, along with over 2 million recipes across global cuisines.

For photo-based tracking, the AI looks at the overall plate, portions, and food type, which works effectively for mixed and traditional meals that don’t come with nutrition labels. This makes it especially useful for home-cooked and cultural dishes where manual logging is usually difficult or inaccurate.

While no system can be perfectly precise, MyFitFix prioritizes consistency, speed, and realistic tracking — helping users stay aware of their intake without needing to break down complex recipes or search endlessly for exact matches.

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Will this replace my current fitness app?

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@tsion_teka_most Not necessarily, but most replace it completely since it has every healthy habits.

It plays well with simple routines.

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How does the fitScore actually work?

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@mazi_ayalew FitScore is based on a small set of daily habits — sleep, water, steps, protein, and movement.

Instead of obsessing over one number, it gives you a simple weekly snapshot of how consistent you were. It’s meant to motivate progress, not perfection.

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Can I use this if I’m not trying to lose weight?

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@mazi_ayalew Definitely. A lot of users focused on habit consistency, energy, or just staying generally healthy.

The app is about awareness and routine. Weight loss can be a side effect, not the only goal.

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What do really surprised you the most after people successfully using this app?

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@teferi_firdu How much people care about less features, not more.

Many users told us this is the first app they didn't feel guilty opening. That reinforced that simplicity really matters.

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一句话介绍：一款基于Notion的学术生活管理模板，通过整合课程、任务、笔记、资源等所有学业相关信息于一个系统，解决大学生在多应用间切换导致效率低下和信息混乱的痛点。

Productivity Education Notion

Notion模板学生生产力学术管理一站式学习时间管理笔记整合任务规划教育资源个人知识库大学生工具

用户评论摘要：用户反馈积极，认为该产品是学生刚需，并惋惜自己入学时没有类似工具。主要建议/问题是询问是否具备基于课程的社交或资源共享功能，开发者给予了肯定回复。

AI 锐评

“Student OS”本质上是一个封装了特定数据库结构和使用逻辑的Notion模板，其核心价值并非技术创新，而是场景化的方案设计。它精准地切中了学生群体——尤其是大学生——在数字化学习中的核心矛盾：信息与工具的碎片化。通过将日历、任务、笔记、资源等模块在Notion的柔性框架内进行系统化集成，它试图提供一个“单一可信来源”，这直指效率提升的关键：减少上下文切换与搜索成本。

然而，其天花板也显而易见。首先，它严重依赖Notion生态，其体验上限受制于Notion本身的性能与用户熟练度，对于非Notion用户存在显著的学习门槛。其次，作为静态模板，其智能化、自动化程度有限，无法像专业学习应用那样提供数据深度分析（如学习模式洞察）或高级提醒功能。评论中关于“课程社交”的询问，恰恰暴露了其作为封闭模板的短板——缺乏网络效应和动态数据交互能力。

它的真正成功，取决于能否从“一个优秀的模板”进化为“一个活跃的学生工作流社区”。开发者提及的可共享资源，暗示了向轻量级协作平台演进的潜力。若未来能围绕模板构建起课程笔记、资料分享的微社区，其价值将从工具提升为网络。目前来看，它是一个思路清晰、解决真问题的“杠杆解”，但并非革命性产品。它提醒我们：在AI与复杂应用泛滥的时代，通过精巧设计对成熟平台进行“场景赋能”，同样能捕获特定用户的强烈需求。其挑战在于，如何构建更深的护城河，避免被轻易复制。

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Student OS

Stay On Top Of Your University Life Are you tired of switching between multiple note apps and not knowing where your lecture notes went? Do you want to become an organized student and focus on what matters to you? Whether you're just starting out your university, preparing for an important exam season or simply want to organize everything associated with your studies in one place. This template is made for you. Are you ready to become an organized student?

Hey ProductHunters and everyone else! I'm Matthew, Notion consultant and creator of this template. Stay On Top Of Your University Life Are you tired of switching between multiple note apps and not knowing where your lecture notes went? Do you want to become an organized student and focus on what matters to you? Juggling between multiple apps and remembering deadlines in your head won't work long term. You'll get overwhelmed and always feel behind due to disorganization. While you could focus on studying and still have time left for other activities. That's why I created this template. From one student to another. I'm also a student myself... Whether you're just starting out your university, preparing for an important exam season or simply want to organize everything associated with your studies in one place. This template is made for you. Are you ready to become an organized student? What you'll get? 🔹 Student OS Notion template where you can organize your personal and university details, semesters, classes, attendance, teachers, calendar, tasks, projects / exams, class notes, grades, study sessions, resources and notes in a systemized way and store everything associated with your studies in one place 🔹 Guide with explanation of each module 🔹 Instructions how to use the template You can also customize this product for your needs! Who is this for? 🔹 University undergraduates who want to organize everything associated with their studies in one place 🔹 PhD candidates who need to reliably access the resources and store references to focus on their PhD 🔹 Anyone who's still in school / university and wants to become more organized 🔹 You! Now, if you’re ready to be honest with yourself. And take the steps you promised to get your studies under control. You’re one step away from making that a reality. Your organized, confident and A-grade self is just around the corner. 6 months from now. You’ll be proud of your university progress (if you take this step today), or you’ll still be feeling the same frustrations (if you don’t). The choice is yours. Stay On Top Of Your University Life Grab your Student OS today! Feel free to check it out and leave your feedback about it :)

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If you are a student, you definitely need this!

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@nixisworld Indeed :)

Thank you bro for your support!

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I wish I had something like this in my freshman year!

Can students also see or connect with others taking the same courses?

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@samet_sezer Appreciate the feedback :)

Absolutely! You can share the resources or entire class page

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一句话介绍：这是一个AI工具发现与分发平台，通过结构化目录、高权重SEO和整合营销，在AI工具泛滥、信息过载的场景下，为使用者解决筛选难题，同时为开发者提供持续、可预测的流量曝光。

Marketing Artificial Intelligence Tech

AI工具聚合平台 AI产品分发 SEO与LLM搜索优化开发者营销服务 AI工具发现产品目录广告投放平台 AI交易市场行业导航 B2B服务

用户评论摘要：创始人亲自评论，阐述了产品解决AI工具发现碎片化、短期炒作问题的愿景，并详细介绍了为广告主提供的复合价值。评论中未出现其他用户反馈，核心是产品方的价值阐述与对社区反馈的征集。

AI 锐评

“Everything AI Tool”的野心远不止于又一个AI工具导航站。其核心叙事是“对抗速朽”，试图在AI工具生命周期极短的当下，构建一个能让优质产品获得“复利式曝光”的生态系统。价值主张清晰切割了“发布日流量高峰”与“长期稳定分发”，这直击了当前AI创业者和营销者的核心焦虑。

产品的真正价值在于其试图成为“流量基础设施”。通过高权威页面获取SEO及LLM搜索流量，并打包仪表盘、新闻稿、社交曝光形成复合营销方案，它售卖的是“可预测的意向流量”。即将推出的“AppSumo式交易市场”更是精明之举，不仅抓用户、聚流量，也为工具方提供了一个清晰的变现通道，可能形成供需双侧的良性循环。

然而，其挑战同样尖锐。首先，平台的核心壁垒“高权威页面”与“LLM搜索浮现”本身具有不稳定性，受搜索引擎算法及LLM产品策略影响极大。其次，在工具泛滥的背景下，平台的“策展”能力与公信力将是生命线，若沦为付费排名，则与它抨击的“噪音”无异。最后，其商业模式高度依赖B端广告主，在AI投资可能降温的周期中，需证明其ROI能持续优于巨头广告平台或直接营销。

总而言之，这是一个在正确时机提出正确命题的产品：将无序发现变为有序分发。但其长期成功不取决于功能堆砌，而取决于能否在算法、资本与用户信任之间，建立起一个真正公正且有效的“价值发现”机制。否则，它可能只是从“工具的坟场”升级为了“营销的战场”。

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Everything AI Tool

Everything AI Tool is built to dominate AI discovery. With 25,000+ curated AI tools and 30K+ unique weekly visitors, we give AI products real distribution, not launch-day spikes. Our high-authority pages rank on Google and increasingly surface in LLM search results. Advertisers get a dedicated dashboard, pages, newsletter reach, and social visibility that compound. LLM-powered workflow search and an AppSumo-style AI deals marketplace are coming next.

Hey Product Hunt, Malav here, founder of Everything AI Tools. The AI ecosystem currently faces a significant challenge. There are zillions of tools launching every year, but value keeps dropping because people do not know which tools are actually good, how to use them, or how to combine them into real workflows. Discovery is fragmented, noisy, and often driven by launch-day hype instead of long-term usefulness. Everything AI Tools is built to fix that. We focus on structured discovery, real traffic, and visibility that compounds across search and LLM-driven discovery so good tools do not disappear after a week. For AI founders and advertisers, we offer deep coverage, not just listings. You get a dedicated dashboard to create and track campaigns, credit-based usage on clicks, a dedicated tool page, newsletter exposure, social mentions, and priority placement inside our upcoming LLM-powered search module. The goal is simple: predictable, high-intent distribution instead of one-off promotion. Coming soon, we are launching an AppSumo-style AI deals page timed for Christmas sales. This gives users access to the best AI offers in one place and gives publishers and tool builders a high-conversion channel without burning ad budgets. Would love feedback from the community. How do you currently decide which AI tools are worth using, and what would make discovery actually valuable for you long term?

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一句话介绍：fal.ai 为开发者提供了一个集成数百个生成式媒体模型的统一平台，通过高性能、易用的API，解决了开发者在构建AI应用时面临的多模型集成复杂、成本高昂及从原型到生产扩展困难的痛点。

Design Tools Artificial Intelligence Photo & Video

生成式AI平台开发者工具 AI模型集成 API服务高性能计算可扩展架构媒体生成成本优化生产部署人工智能基础设施

用户评论摘要：发布者评论为产品推广性质，强调其高性能、易用性、可扩展性和安全性。目前无外部用户真实反馈，缺乏实际使用问题与建议。

AI 锐评

fal.ai 瞄准的是一个拥挤且正在快速 commoditization（商品化）的赛道：生成式AI模型API平台。其核心叙事——“集成数百个模型，最简单且最具成本效益”——既是亮点，也是挑战的起点。

真正的价值不在于“集成数量”，而在于其集成的“深度”和“智能”。当前，许多开发者完全可以直接调用原厂API（如OpenAI、Anthropic）或使用其他聚合平台。fal.ai 要脱颖而出，必须回答几个尖锐问题：第一，其“成本效益”是单纯的价格战，还是通过技术优化（如推理优化、动态路由）实现的真实优势？第二，“最简单”如何体现？是提供了更优雅的抽象层、更统一的API设计，还是解决了模型之间输入输出格式不兼容、参数差异巨大这一真正让开发者头疼的“脏活”？第三，面对FLUX、SVD等模型版本的快速迭代，平台如何保证同步的及时性和接口的稳定性？

从仅有发布者评论来看，产品尚处于早期市场验证阶段。其标语“for developers”非常明确，这意味着它必须用极致的开发者体验（DX）和可观测性（Observability）来构建壁垒。如果它仅仅是一个模型的“黄页”或代理，价值有限。但如果它能成为一个“智能调度层”，根据任务需求、成本、延迟自动选择最佳模型，甚至实现模型的组合编排（pipeline），那它将从“工具”升级为“引擎”，这才是其宣称的“生成式媒体平台”应有的内涵。当前投票数（10）的冷淡反应，也侧面反映了市场对又一个“AI聚合器”的审慎态度。成功与否，取决于其技术护城河的深度，而非模型列表的长度。

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Fal.ai

Easiest & most cost-effective way to use Gen AI. fal.ai is how devs integrate dozens of generative media models. FLUX, King, Hailuo +600 more

Hey Hunters 👋, I am excited to hunt fal.ai — the future of generative AI infrastructure! fal.ai makes it insanely simple to build, scale, and deploy AI models with blazing performance: ⚡ High-performance compute optimized for large models 🔗 Easy API access to state-of-the-art AI capabilities 📈 Scale effortlessly from prototype to production 🔐 Secure & reliable infrastructure for mission-critical applications 🌐 A platform that empowers builders, startups, and teams to create without limits Whether you're building the next viral AI product or enhancing your app with powerful models, fal.ai has you covered. Can’t wait to see what the community builds next! 🔥

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PH热榜 | 2025-12-17

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