Product Hunt 每日热榜 2026-01-29

PH热榜 | 2026-01-29

#1
Pandada AI
Build data wealth: Turns files into McKinsey-level insights
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一句话介绍:一款将混乱的CSV、PDF、Excel及图片文件,自动转化为麦肯锡级别、可下载分享的报告与演示文稿的AI数据分析平台,旨在帮助非技术运营者和数据科学家从数据沼泽中解放,快速获得决策洞察,构建“数据财富”。
Analytics Data & Analytics Data Visualization
AI数据分析 自动化报告 数据清洗 非技术用户友好 多格式文件解析 商业智能 数据财富 企业级应用 工作流自动化 洞察生成
用户评论摘要:用户普遍认可其“超越聊天”的交付模式、专业级输出质量及处理混乱文件的能力。主要建议包括:增加报告模板库、强化数据溯源审计、集成Slack/Notion等协作工具、优化新用户引导流程。开发者积极回应,透露模板库与集成已在规划中。
AI 锐评

Pandada AI的亮相,精准刺中了当前AI数据分析工具的一个普遍软肋:对话热闹,交付潦草。它不满足于充当一个需要用户不断提问、反复纠偏的“聊天伙伴”,而是直接定位为能产出终端成果的“分析师”。其宣称的“麦肯锡级报告”,实则是将数据清洗、智能提问、可视化呈现打包成一个黑箱工作流,追求的是开箱即用的决策材料,而非开放式的探索过程。

这一定位极具市场穿透力,尤其对时间紧迫的非技术决策者。其在中国市场验证的300万用户和超千家企业,证明了工作流自动化而非对话交互,才是广大基层业务人员对AI的核心诉求。然而,其“交付物驱动”的模式也暗含风险:对分析过程的“黑箱化”处理(尽管声称可查看代码),可能削弱专业用户对分析逻辑的信任。将复杂分析简化为“一键报告”,在提升效率的同时,也可能助长对数据背景和统计严谨性的忽视。

本质上,Pandada AI是在用AI重构商业分析的报告生成环节,它真正的竞争对手或许不是其他AI聊天分析工具,而是传统的数据分析师外包、咨询公司的PPT团队,以及用户自己手动在Excel和PPT间挣扎的无数个小时。它的成功与否,将取决于其“麦肯锡级”输出的真实质量能否经得起专业审视,以及其工作流是否能足够灵活地适配千变万化的业务场景,而非沦为另一个精美的模板化工具。

查看原始信息
Pandada AI
Pandada empowers both non-technical operators and data scientists to achieve data wealth. Move beyond "chatting" with data—Pandada turn messy csvs, pdfs, excels files, and even photos into downloadable and shareable McKinsey-level reports and presentations — so you can make better decisions grounded in data.

Hey Product Hunt! 👋 I’m the creator of Pandada.

Pandada turn your messy files (CSVs, Excels, PDFs, images) into McKinsey-level insights so that you can build “data wealth” (hold on a second, i will explain it below).

10 years ago, I was a quant analyst at Charles River Development (acquired by State Street). I spent 80% of my time cleaning messy spreadsheets and wrangling numbers so that my PM can make better product decisions. It was slow and, despite my best effort, prone to errors. When I transitioned to become a PM and Investor, the problem persisted.

This is a universal challenge: drowning in files, starving for insights.

This is what refer to as "data poor."

This is why I build Pandada.

We launched our original engine in Jan 2024 in China, a year before Manus, and we quickly scaled to 3 million users and 1,000+ enterprises.

Today, we are excited to bring our battle-tested "Data Wealth" engine to Product Hunt. Pandada is built for the messy reality of work. We help you build Data Wealth in 3 steps:

  • Better Data: Pandada cleans and structures "dumpster fires" of files—scanned PDFs, screenshots, or messy Excel sheets or CSVs.

  • Better Questions: Pandada refines your coarse queries and turns them into expert-level prompts to get at the core insights your seek.

  • Better Answers: Pandada generates McKinsey-level, decision-ready reports that you can share, present, or download.

Whether you are a Python expert clearing your backlog, a Founder hunting for the hidden gem in your metrics, or a marketer seeking a better growth strategy—Pandada is built to make you wealthy in insights.

I’ll be hanging out in the comments all day—what are some of the toughest data challenges you've faced recently?

To celebrate our debut on PH, anyone who signs up before Feb 28th gets one month Pro for free!

Just fill out the form, and we’ll activate your Pro access within 24 hours. https://forms.gle/XEPfdePLremwYGDu7

BR,

Anya

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@anya_pandada Finally, a tool that moves beyond chatting. I don't want to have a back-and-forth conversation with my CSV; I want a result. Pandada delivers a downloadable, structured report in one go, which is how professional work actually gets done.

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@anya_pandada Congrats on the launch.The UI feels clear but onboarding motion could help users get it quicker, happy to help if you want, I could send a quick example privately

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@anya_pandada Love the clarity on the landing page, gallery images and maker comment... super impressive! Filled out the form for access and can't wait to try it.

Is there an FAQ page listing supported file types for uploads? Thanks, and huge congrats on the launch!

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Congrats on the launch, Anya @anya_pandada and team! 🚀 Love the "data wealth" vision — it's so true that we're often drowning in files but starving for real insights. Turning messy CSVs/PDFs even from photos into McKinsey-style reports sounds like a game-changer for non-tech folks and analysts alike!

Big kudos on already serving 3M users in China — that’s impressive validation! 😲 The 3-step workflow (Better Data → Better Questions → Better Answers) is super clear and feels practical for daily chaos.

One suggestion from a product lens: Have you considered adding a "template gallery" of common business report types (e.g., marketing performance, SaaS metrics, quarterly reviews)? It could help users jumpstart their analysis and align teams faster. Also, a lightweight "audit trail" showing how data was transformed would boost trust for enterprise adoption.

Excited to try the Pro access! 🙌 Quick question: Are there plans to integrate with tools like Slack or Notion for sharing insights directly?

Wishing you a huge launch day! 🎉

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@rocsheh Thank you for your support!

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  @rocsheh Thank you so much!!

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@rocsheh Thanks for the support, Zepeng! Really glad the "Data Wealth" vision clicks with you.

Your suggestions are spot on:

  • Templates: We have some use cases built-in now, but a full "Template Gallery" is definitely next on our list!

  • Audit Trail: We actually expose the Python code for every step so users can see exactly how the data is transformed. Transparency is a big deal for us.

  • Integrations: Slack and Notion are high on our roadmap for easier sharing.

Excited for you to try the Pro access—let me know how it goes!

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Had a pleasure working with @anya_pandada to hone the message and positioning of @Pandada AI — a powerful conversational data analytics platform that converts your messy CSVs, Excels, PDFs, and data sources into "data wealth" — McKinsey-level insights that you can rely on to inform your toughest strategy decisions.

It's truly remarkable how Pandada can make sense of data spread across dozens of disconnected files. They started working on this before @Manus launched, and have over a million users in China.

To celebrate their Product Hunt debut, they're offering a free month to anyone who signs up before Feb 28th and fills in this form.

Throw something mean at it and let us know how it does!

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@chrismessina Thank you so much, Chris! Really appreciate your support and thoughtful feedback. Working on this with the team has been a great learning experience for me — your input on the messaging and positioning helped us see the value more clearly. Thanks again for backing the launch🙋
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@chrismessina Massive thanks for the hunt, Chris! Bringing the momentum of millions of users in China to the global stage is a huge milestone for us. Collaborating with you to craft a positioning that truly resonates with the global market is exactly how we envision building Pandada. Really appreciate you backing the launch!

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@chrismessina Thank you so much, Chris! It was great working together on this.

We really appreciate the help in shaping how Pandada is presented, and we’re excited to share it with the Product Hunt community and learn from the feedback here.

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How does Pandada handle really messy PDFs with tables and scans?

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@abod_rehman Messy PDFs and scans are usually a total nightmare. We handle them by combining traditional OCR with Multimodal Large Language Model capabilities. This hybrid approach helps Pandada recognize structural logic and reconstruct tables accurately. Feel free to put it to the test with your most chaotic files!

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Hi Hunters! 👋

I’m the maker of Pandada AI. Most tools let you "chat" with data, but we believe you need results, not just a conversation.

Pandada turns your messy CSVs, PDFs, and even photos into McKinsey-level reports and presentations in minutes. Stop digging through rows and start building your Data Wealth.

We’re live all day and would love your feedback! 🐼🚀

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Congrats! Pandada’s shortcuts feel clean, fast, and reliable. More importantly, it feels like a professional analysis workspace for working with real business documents.

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@libin_yao You nailed it, Tina! 🎯 We wanted to build a workspace for real work, not just another chat window. The goal is to help you fly through business docs without worrying about prompts. Thrilled you’re liking the professional feel!

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@libin_yao Hi~ Tina~ Really appreciate the support — thank you!

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@libin_yao Thank you for your support of our product.

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Hi Hunters! 👋

I’m the maker of Pandada AI. Most data tools stop at “talking to your files.”

Pandada goes further — it turns raw, messy data into insightful reports and polished slides you can actually use.

Upload your CSVs, PDFs, or images, and get McKinsey-level outputs in minutes.

Less time analyzing.
More time deciding.

That’s how you grow your Data Wealth. 🚀

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Congrats on the launch! I like that Pandada lets me analyze trends without writing code. Does it also expose the underlying Python code used during data processing?

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@sandy_liusy Thanks Sandy! Absolutely. While we offer a no-code experience, we also show the Python code so that expert users can audit the process and validate the results. We want to ensure our insights are always "white-boxed" and trustworthy!

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@sandy_liusy Thanks~~

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@sandy_liusy Many thanks for your kind words and support~

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I’m impressed by the output quality from Pandada. The export button produces clean, high-resolution charts where labels don’t overlap, which is a huge help for professional reporting.

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@charlenechen_123 Thank you, I'm delighted that Pandada is able to assist you.

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@charlenechen_123 So glad you noticed that detail, Charlene! We wanted those charts to be presentation-ready the second you hit export. No more design tools needed—enjoy!

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@charlenechen_123 Hey~~ Charlene~ Thank you for your support on Product Hunt — we really appreciate it!

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Pandada seems especially useful for comparisons. How smart is the column mapping? If one file has "Revenue" and another has "Total Sales", will it figure out they are the same field?

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@chouti Spot on, Daniel! That’s exactly what we aimed for. It’s smart enough to know that different names can mean the same thing (like your Revenue vs. Total Sales example), which saves a ton of manual cleanup. Try throwing your messiest files at it—I think you’ll be pleasantly surprised :)

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@chouti thanks for your support~

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@chouti Thank you so much for the support!

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When a user uploads a messy bundle (multiple spreadsheets + a PDF/screenshot), what does a successful first session look like end-to-end—how do you handle data cleaning corrections, provenance/citations to source cells, and rerunning the same analysis next week with new files?
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@curiouskitty Massive thanks for the deep dive! It’s not every day we get to chat technicals with a Curious Kitty. 🐾 Here is how the "Smart Panda" handles those messy bundles:

  • Cleaning: We don't just scrape text. Our Multimodal Large Model + OCR hybrid understands the visual and structural logic of your screenshots and PDFs. It reconstructs the tables as they were intended, ensuring the data is analysis-ready from the start.

  • Transparency: For strategic decisions, we know experts need to verify the logic. While we don't have direct cell-links yet, professional users can dive into the Code Interpreter to inspect the underlying code and verify exactly how the data was sourced and processed.

  • Shortcuts: Efficiency is about not repeating yourself. Based on our 100+ global user interviews, we built Shortcuts. You can customize and save your task logic, then use it as a recurring workflow to handle your weekly reports—or even automate "counting how many fish I've eaten today"... lol. No need to reinvent the wheel!

We’re excited for you to build your first Shortcut and look forward to your feedback!

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@curiouskitty Thanks for the thoughtful question. From a user’s point of view, a good first session usually starts pretty simply.

You upload a messy bundle (spreadsheets + PDFs/screenshots), ask a rough question, then hit the “Enhance the prompt” button. That step helps turn your initial ask into a clearer, more structured analysis prompt before anything runs.

From there, Pandada handles the cleanup and analysis, keeps results traceable to their sources, and lets you fix or clarify things conversationally if something looks off.

That’s the experience we’re aiming for, and we’re continuing to refine it based on real messy data.

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This looks excellent! sifting thru CSV's images PDFs and other files can be quite tedious I'm glad to see a product that is focused on making it easier to get the insights needed to make decisions. Wondering if it can integrate with my Gmail to download files and produce insights on a cron schedule or based on triggers (eg new email received? Congrats on the launch!
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@t0ny_ns To be honest, we didn’t start with email triggers in mind, but we’ve had a lot of people asking for this exact feature lately. It’s definitely making us rethink the roadmap.

What’s the specific workflow you’re imagining? Would you want Pandada to just grab any attachment from a certain sender, or are you looking for a more complex cron-based setup for your reports?

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Pandada handles document-based data surprisingly well. The structured output saves a lot of cleanup time and makes analysis much smoother.

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@heal_yi Appreciate this. Turning document data into clean, structured output is a big part of what we focus on. Glad it made your analysis smoother.

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Congrats on launching today. How does this differ from other AI data analyst agents?

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@zerotox Good question!

Chat-based AI tools are great at conversation.

Pandada is built for analysis delivery.

  • Workflow-first, not chat-first

  • Built-in analytical structure, not blank prompts

  • Outputs designed for decisions, not just reading

Pandada works less like a chatbot, and more like a junior analyst who already understands the task.

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The micro tools on your site are part of an SEO strategy or they are included as part of the larger product? Congrats on the launch!!

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@roopreddy Thanks! Good question. The shortcuts on our site are part of the broader Pandada product — they’re designed to handle small, high-frequency tasks quickly, and also serve as an easy entry point for new users.

They’re useful on their own, but they connect naturally into the larger workflow when you need deeper analysis.

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Does it take files like PDF, Excel, etc., as an input or does it also take some dynamic channel like, for example, Facebook dashboard data, like some kind of integration?

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@himani_sah1 Pandada takes PDF, Excel, and other files as inputs right now. Integrations for dynamic channels like Facebook are on our roadmap but not live yet. Which specific platforms would you want to see us connect to first?

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@himani_sah1 Good question. Pandada currently works with files — like PDFs, Excel, CSV, and similar formats.

We don’t support direct integrations with dynamic dashboards (e.g. Facebook) yet, but exported files from those tools work well.

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What formats are these reports and presentations in?

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@syed_shayanur_rahman Good question. Pandada-generated reports can be exported as Markdown or PDF, and charts as PNG, JPG, or SVG, depending on how you want to use them.

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@syed_shayanur_rahman Pandada generates Word and Excel files directly, or you can export your reports as Markdown and PDF. We're also finishing up HTML and direct PPT support for the next release. Let me know if that works for your workflow!

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I love that Pandada doesn't just describe what happened , it helps explain why. It allows me to dig into the root causes of anomalies rather than just reporting the symptoms.

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@julie_su Yes! Exactly! I'm so glad that you get help from Pandada!

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@julie_su Thanks, Julie! We really wanted to move past just reporting "what" happened and get into the "why." It’s much more satisfying to solve the mystery than just read a status report, so I'm glad it’s clicking for you

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@julie_su Thanks~

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need this so bad...
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@hehe6z We heard the SOS! Consider us your official escape plan from the spreadsheet abyss. Go give it a spin and let us know what you think :D

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@hehe6z Thanks! Hope it helps you a ton

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I was impressed by how Pandada keeps context. It remembers the schema from previous uploads, so switching between datasets feels seamless instead of confusing.

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@new_user___1282025165cc92287e7a197 Thank you for your support!

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@new_user___1282025165cc92287e7a197 Thanks, Yiyao. We put a lot of effort into the schema memory because we wanted to cut out the confusion of switching between different datasets. Really glad it's making your workflow feel more seamless.

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@new_user___1282025165cc92287e7a197 Thanks! Context awareness is a big focus for us

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Pandada replaces a lot of manual spreadsheet work with clearer, faster analysis. It’s less about buttons and more about getting answers from data.

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@vermouth2333 Thank you for your support!

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@vermouth2333 That’s exactly why we built Pandada—to stop the 'button-mashing' and start getting actual answers. So glad it's saving you from the manual spreadsheet grind! 🚀

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@vermouth2333 Hey~ Thank you for your support on Product Hunt — we really appreciate it!

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Pandada clearly understands how important data prep is for good analysis. It handles the groundwork, so the insights actually make sense.

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@mooyan Thank you for your support!

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@mooyan Couldn't agree more, Mooyan! Great analysis is impossible without clean data. We designed Pandada to handle all that heavy lifting automatically, so you can trust the results are accurate. Thanks for the support :D

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@mooyan Thanks for the support! So glad to hear that Pandada can really help people ~

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What an impressive innovation with Pandada! By bridging the gap between non-technical users and data scientists, it truly democratizes access to high-quality data insights. The ability to transform messy files into polished, professional reports and presentations is a game-changer for anyone looking to enhance their decision-making based on solid data. Its focus on making complex data easily digestible means more effective collaboration across teams. I can see how this would resonate with businesses striving for data-driven strategies. Kudos to the team behind Pandada!

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@leo_ye Thank you~ We will work harder to make a better Pandada!

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@leo_ye Wow, thank you so much for the kind words! 🙌

"Democratizing access" is exactly the mission we are on. We believe you shouldn’t need a PhD in Data Science just to unlock the value hidden in your own files.

Turning that "messy" reality into clear, boardroom-ready decisions is how we empower teams to move faster. Really appreciate your support!

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@leo_ye Hi~ Leo Thanks for your support on Product Hunt!

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Thank you for saving our sanity, Anya:D Love that it goes beyond just chatting and actually builds shareable reports. Does Pandada handle multi-language files well?

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@eugene_chernyak Glad we could be your sanity's bodyguard today! And yeah, multi-language files aren't a problem at all. We built Pandada to be "polyglot-friendly" so you can throw files in different languages at it and still get those clean, shareable reports without breaking a sweat.

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@eugene_chernyak Thanks! Yes — it handles multi-language files smoothly 🙌

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How does Pandada handle sensitive data within these files? Are the models SOC2 compliant, or do you offer localized data processing?

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@lightninglx Great point, Xiang Lei. Security is a massive deal, which is exactly why we lean so heavily into localized service solutions. We want you to have total control over where your data lives and how it’s handled, so you don’t have to lose sleep over privacy. If your team needs to keep everything strictly in-house, we’ve got you covered.

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LGTM,can i export to a ppt file?

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@bestony Thanks, Bestony! Glad you like it. 👋

To be honest, we don't support direct PPT export just yet, but it’s definitely high on our roadmap!

For now, you can download the insights and charts as high-quality reports to quickly pop into your slides. I’ll make sure to ping you once we have the PPT feature live!

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@bestony Thank you for supporting Pandada on Product Hunt!

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@bestony Good catch — not yet. PPT is coming soon.

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Great work team. For non-technical users, how much guidance does the prompt give? Do I need to know the right statistical terms to get a good result, or can I just ask in plain English?

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@emily007 Hey Emily! Honestly, don't worry about the jargon at all.

You can talk to Pandada just like you’re chatting with a friend. Plain English is all you need. Since it’s a web app, we’ve built a library of real-world use cases and templates right into the site to help you get moving immediately.

It’s basically like having a "cheat sheet" to start getting insights without any setup. I'd love for you to give it a spin and let me know if it feels intuitive enough! 🐼✨

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@emily007 Thanks so much for your supporting

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@emily007 Thanks! Plain English is totally fine.

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WOW congrats!

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@arthur_winston3 Thank you so much! 🙌

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Congrats on the launch guys!

It is true that most teams are drowning in files but getting insights out of them can never happen in most cases. I can see this being really useful. Also curious on any planned next integrations?

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@th_calafatidis Thanks a lot! Totally agree — files pile up fast, insights don’t.

We’re actively exploring integrations based on real user workflows, and will share more as things take shape.

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“McKinsey-level insights” is a bold claim — love the ambition!
For non-technical users, the real test is: can it explain why a trend matters, not just surface it?

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@zypressen Fair point. You can directly ask why a trend happened, and Pandada will analyze and explain the underlying drivers.

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@zypressen You nailed the real challenge. Explaining the "why" is where the actual strategy happens.

That’s why we built the "Generate Report" feature. When you toggle it, Pandada automatically synthesizes your raw data and questions into a McKinsey-level analysis, so you don't need to be a data expert to get professional-grade results.

To celebrate our Product Hunt debut, we're offering a free month to anyone who signs up before Feb 28th and fills in [this form]. Give it a try and let us know what you think of the depth!

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#2
TravelAnimator
Turn Google Maps URLs into stunning map animations.
420
一句话介绍:一款将Google Maps链接快速转换为精美动画旅行地图视频的工具,解决了旅行者、内容创作者在无需复杂剪辑的情况下,高效制作高质量旅程可视化视频的痛点。
Travel Maps Video
旅行视频制作 地图动画 Google Maps工具 内容创作 可视化旅程 3D模型 视频编辑 社交媒体内容 旅行记录 创作者工具
用户评论摘要:用户普遍赞赏产品创意与视觉呈现。核心反馈集中在功能需求:强烈希望支持多个Google Maps链接编辑、询问网页版开发计划、期待更多缩放与2D视图选项。开发者回应解释了多链接支持的复杂性,并透露了网页版MVP及更多缩放功能正在规划中。
AI 锐评

TravelAnimator精准切入了一个被忽视的细分市场:将普适性的导航数据(Google Maps链接)转化为情感化、视觉化的叙事媒介。其真正的价值并非技术颠覆,而是对“创作民主化”的又一次实践——它试图将原本需要After Effects或专业视频剪辑技能的门槛,降低到一次“复制粘贴”。

产品策略聪明地选择了“视觉优先”。用250+3D模型、30+地图风格、4K输出等参数堆砌“高级感”,快速建立用户对成品质量的信任,这比率先攻克复杂的多路径编辑(一个更工程化但视觉回报可能不明显的功能)更能吸引早期种子用户——那些对社交展示有强烈需求的旅行者与微创作者。从评论看,这一策略是成功的,用户被其“玩趣性”和“高级感”直接吸引。

然而,其长期挑战也埋藏于此。产品的核心依赖(Google Maps链接)是一把双刃剑。一方面降低了使用门槛,另一方面也限制了创意自由度(如用户提到的无法编辑路线)。它本质上是一个精美的“皮肤”引擎,而非真正的路线创作工具。当新鲜感过后,用户对深度编辑(多路线、自定义路径、更复杂的时间线)的需求会浮现,届时它将面临是继续做“轻量级装饰工具”,还是向“专业级旅行视频编辑器”转型的艰难抉择。

此外,其目标用户群看似清晰(旅行者、创作者),实则模糊。硬核旅行博主可能需要更复杂的叙事功能;普通用户可能仅需一次性分享。评论中“不知为何需要,但看起来很棒”的反馈,恰恰揭示了其作为“解决方案寻找问题”的潜在风险:它创造的需求是否足够刚性、高频,以支撑其增长?开发者提到的飞行员、水手等用户,或许暗示了其在专业路线汇报与可视化领域的意外潜力,这可能是比大众市场更稳固的利基。

查看原始信息
TravelAnimator
TravelAnimator turns Google Maps URLs into travel map videos in seconds. It stands out with 250+ 3D vehicle models, 30+ map styles, 4K and HD exports, the ability to add photos to routes, and a completely ad-free experience. Built for travelers, creators, and storytellers who want their journeys to look as good as they felt, without spending hours editing.

Hello Everyone, 

Jaseel, one of the creators. 

As surprising as it may seem, there is no good solution, yet that takes a Google map URL and makes a good travel video out of it.

TravelAnimator already made videos by dragging lines across waypoints and destinations, but stitching them together to work with Google Maps wasn't easy.

By default, for the free version, you can upload a Google Maps link either from travelanimator.com or in the routes menu on the top right after onboarding and use one of the free models to showcase the travel journey. With the paid version, you can switch from the free models to the paid one, plus access other features.

If there is enough demand for this feature, we will look into supporting multiple Google Maps links, though it can get complex, especially if the two Google Maps links are not connected.

Right now, you can't edit Google Maps routes. We hope to add that as an improvement in the future. 

Here are all the other features that you can try:

- Try out 30+ cool maps

- Over 250+ realistic models.

- Upload images for each waypoint that you stop at.

- Try out different kinds of zooms.

- Import GPX files

- 4K & HD exports

- Different aspect ratio support

- Flat & Globe Modes

- Place Labels

- Country Highlight

- Route line customizations

Get 50% off with promo code PH50. Learn how to apply it here:

https://www.travelanimator.com/hub/how-to-apply-a-discounted-promo-code-in-travelanimator

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@jaseel_sk Seems like a fun product. Congratulations on the launch. Have you seen a Disco by Google having ability to do something similar?

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@jaseel_sk very cool! I like this, have a few trips planned, going to try it
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Do you have a web version, or plans for one?

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@jijosunny we built a prototype for web but didn't actually get to be a minimum usable product. Hoping we can get an MVP out in the next four to five months.
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Looks great. This is exactly what I was looking for.

Do you support multiple Google Maps links?

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@shyjal supporting multiple Google Maps links is a fairly complex task, considering all the edge cases. If there is enough demand, we'll likely spend energy on it. Thank you!
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Love the interface and playfulness! Especially, the map and traveler model customisations. I saw just two zoom options. Do you have anything more? 2D?

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@nyn Thank you.

Right now, we have two types of zoom:

1. A 2D version

2. A 3D globe (which is a variation of the 2D in some ways)

We have more in the works. In fact, in another two months, we hope to launch at least 7-8 types of zoom options.

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This is so cool for people like me :D I am constantly lost when I travel outside of my country. This could possibly give me some orientation :D

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@busmark_w_nika I'm glad this will be helpful. There's a free version with all the base features.

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@busmark_w_nika Just to clarify.. This isn't a navigation tool. But if you track your route when you are lost, you could create some very funny social media videos with this! :) @cherianthomas You think you could help her go viral with lost map reels?

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Congrats on the launch guys! This looks so cool. I travel a lot lately and it seems something fun i could use for a change.

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I don't know why I need it, but it looks great!

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Such a creative concept - Love this!

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Your product leans hard into “make it look premium fast” (styles, 3D vehicles, photos, 4K). How did you prioritize visual polish vs. route-editing power early on, and what feature requests have forced the hardest tradeoffs?
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How did you come up with that idea? It sounds great.

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@ponikarovskii Thank you! 😊
Most existing travel video apps felt too time-consuming, so we asked: why not create videos directly from Google Maps, which almost everyone already uses? That’s how the idea came to life.

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The packaging looks fresh, but I don't quite get who this is for?
For content creators wanting to create a video?
Like, it doesn't help me arrive better at my destination, does it?

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@paul_from_dentro This is purely for creating travel videos easily, in just a few simple steps, without needing any editing skills or software. It’s not meant to help with navigation or reaching destinations; it’s for visualizing and sharing journeys once you have the route.

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This feels perfect for travel agencies and solo creators alike. Who’s been your most active user group so far?

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@abod_rehman Travel vloggers and casual travellers—of course. They’re the most active users, using the app to showcase both short and long trips. We’ve also seen strong adoption from flight attendants, sailors, and educational users.

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Loved the 3D assets in the app. Great attention to detail on each model.

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@adnankattekaden Thanks a lot! Really glad you noticed the details, we’ve put a lot of effort into the 3D models. Appreciate the words 🙌

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Awesome! Congrats on the launch!

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@jinsoncjohny Thanks a lot! Appreciate the support

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Wow, really cool product. Congrats on the launch.

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@sachindas246 Thanks a lot!

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Great idea! Something so creating and fun for an action I do multiple times per day

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@daniele_packard Thanks! So glad you find it useful.

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Finally, a way to make those cool travel maps without the pro editing skills. It honestly makes the whole planning process more fun! :D

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Yes, that’s exactly what we were going for! Turning Google Maps routes into videos in just a few simple steps.

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@valeriia_kuna Yeah, that part stood out to me too. Sometimes you just want something simple that still looks good, without learning another complex tool

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Finally, I can stop struggling with complex video editors just for a simple map animation! 250+ models thats crazy. Does the free version allow for 4K exports, or is that a pro feature?

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@eugene_chernyak 4K export is currently a Pro feature.

With the free version, you can export videos in HD

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wow great product man! keep making more such products like these!

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#3
Meet-Ting
AI that gives your schedule a brain.
242
一句话介绍:Meet-Ting是一款AI日程代理,通过邮件和短信管理日历,学习用户偏好,自动处理与最多五位参与者的会议安排、改期、会前简报及爽约跟进,在繁忙的商务沟通场景中解放用户于繁琐的日程协调劳动。
Productivity Meetings Calendar
AI日程管理 智能日历助手 电子邮件集成 会议自动化 可用性代理 时间管理 生产力工具 多平台集成 机器学习 日程协调
用户评论摘要:用户肯定其显著减轻日程管理认知负荷的核心价值,认为其“融入背景”无缝工作体验佳。主要问题集中于运作机制(是机器人吗?)、多时区处理细节、与第三方协调能力,以及最关键的对AI代理的信任与安全控制(如跟进分寸、语气)。
AI 锐评

Meet-Ting的野心并非再造一个日历应用,而是将自己打造成一个渗透在既有通信流(Email, WhatsApp)中的“日程大脑”。其真正价值不在于自动化“预订”这个动作,而在于试图理解和学习“优先级”这个决策过程——即产品标语所称的“给日程一个大脑”。

这一定位犀利地切中了现代职场人的核心痛点:日程管理是一种不被看见的、消耗意志力的“隐形劳动”。产品通过CC或对话这种极低门槛的方式介入,旨在将用户从反复权衡、沟通拉扯的“沉默计算”中解放出来。从评论看,早期用户已体验到这种认知负荷的降低,这是产品初步成功的信号。

然而,其面临的挑战与价值同等巨大。首先,**信任是最大门槛**。让AI全权代理邮件沟通,涉及社交礼仪、层级感知和分寸感,这比单纯处理时间槽复杂得多。团队承认早期版本AI像“过度热情的初级助理”,正说明了打磨这类“社会智能”的难度。其次,**其效用存在网络效应**。当会议多方都使用Ting时,协调效率会呈指数级提升;但在普及之前,它仍需与人类的随机性和模糊性作斗争,这可能削弱其宣称的自动化效能。

产品的未来取决于其AI“直觉”学习的深度与可靠性。它必须从“学习用户喜欢上午还是下午开会”这类模式,进化到能理解“为何这次会议比另一次更重要”的上下文。如果成功,它将成为个人时间的真正代理;如果失败,则可能只是另一个需要被管理的自动化工具。团队选择完全自主而非人工介入(HITL)的路径,勇气可嘉,但也意味着容错率极低。这款产品是一场关于我们是否愿意将“时间分配权”委托给AI的大胆实验。

查看原始信息
Meet-Ting
Ting gives your schedule a brain, so it can make decisions for you. It’s an AI availability agent that manages your calendar over email and text. You set your goals and preferences, and Ting learns your patterns every time you CC or message it, building AI intuition over time. Delegate Ting to plan meetings with up to five guests, handling booking, rescheduling, pre-call briefs, and no-shows. Each week, Ting proactively checks in to help align your calendar with what you want to achieve.

Managing your calendar is invisible labour. Every request is a silent calculation: who gets your time, who doesn't, why. Dozens of times a day. Exhausting. And no one sees it.

Since launching here six months ago, we've been obsessed with one question: what if your schedule had your brain?

The latest Ting is our answer. An AI availability agent that learns what you value by managing your calendar end to end - proactively shaping your week and handling the full meeting lifecycle: planning, booking, invites, pre-call briefs, even no-show recovery.

It works where you do: Gmail, Outlook, WhatsApp, soon ChatGPT. As many calendars as your life requires.

Everything is automating - requests, follow-ups, persuasion at scale. But we all still run on the same 24-hour clock. Your calendar should keep up without you having to.

Our vision is simple: an availability agent for everyone. Because time is relationships, not logistics.

Product Hunt has been with us since the start. So we're (re)launching here with love. Thank you.

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@dbul I like the gallery images of this launch! Help me understand if I get the product right... so it doesn't have its own app, but we can use it in our email, WhatsApp, etc. yes?

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@dbul congrats on the launch. Does this work like a bot or how?

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I'm super interested to learn and discover how Ting adapts its approach based on my stated goals and priorities.

Love the framing of an "availability agent" which blocks and tackles all these inbound time-sucks, and helps me make space (and prioritize!) the connections, tasks, and serendipities that will actually grow my business.

I've long been bullish on personal APIs, and I think Ting is taking a compelling and contemporary approach to that opportunity.

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@chrismessina Thank you Chris! That's the idea - as the world automates, our hours in the day don't, so we want to solve today's simple pain of how best to spend time + who with, on the way to building something that will be even more special in the future (we hope!).

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@chrismessina Thank you for the support 🙌

I'm super interested to learn and discover how Ting adapts its approach based on my stated goals and priorities.

Our main way for Ting to learn now is through memory, trying to learn what you like and don't like (f.ex morning vs afternoon for meetings). And then we use it (almost) everywhere we can. If will take a while to learn, but let us know if you feel the difference in a few weeks 😊

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Cool Design, guys :) Wishing you good luck with the launch :)

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@busmark_w_nika Thank you so much, one of our favourite voices on PH - thanks for all the support and positivity!

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Your color code is so awesome, guys :) Wishing you more success with this launch!

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@abod_rehman Hello sir, thank you! Ting putting on its best new gear for this one!

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@abod_rehman Thank you! We wanted to make it feel fun 🤩

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how does it deal with multiple time zones mentioned in one thread? Does it automatically convert everyone to their local time?

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@lightninglx It depends. It will share your availability in your time zone but if the a) user or b) guest mentions another timezone it will also provide in that. For example yesterday I was meeting with some in NYC so it flipped my time to ET. It also helps to tell the AI so I'll often say "Hey, let's do late afternoon so it's good for Sarah on the West Coast". I'm going to post a forum update later with detailed screen shots of all the core flows as a Product Hunt bonus!

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@lightninglx At beginning it defaults to the timezone of who introduced Ting, but at any moment anyone can ask for another timezone and the thread will change to that.

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I've been using Ting for a bit now and the biggest difference for me is how much less I think about my calendar in general.

Before, it felt like I was constantly doing tiny bits of admin, figuring out when I'm free, replying to back and forth emails, remembering to follow up, chasing no-shows, etc. Ting takes all that off my plate.

@dbul built a really amazing product here.

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@danscalco Adding this to the 'comments that made us cry' hall of fame. Thank you so much for writing this up sir. Appreciate it.

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@dbul  @danscalco awesome to hear! Sounds like it really made a difference

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@dbul  @danscalco That’s exactly the part that caught my attention. If it fades into the background and just works, that’s the best outcome

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Congrats on the launch, Meet-Ting team.
Love the idea of handling scheduling the way emails actually happen, messy and human. CC-based flow feels super natural. Excited to try this.

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@priyankamandal Thank you so much! That's the way we like our scheduling, messy, human and always changing. See you in Ting's inbox!

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@priyankamandal Thank you! Let us know what you think me and @dbul read every single message :)

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Looks awesome, good work team 🔥

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Very cool - can Ting coordinate with a 3rd party to learn their availabilities?

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@daniele_packard Yes exactly. Ting will manage a group to reach consensus about getting together. It's been quite difficult because multi-player AI isn't so common, but we're close to it feeling really good. Lots of replies, direct replies, group reply alls, late messages and different ways of talking about time are fun edge cases. I'm going to do a full tear down with visuals in our forum soon so you can see all the core flows. If everyone uses Ting there's no need for scheduling it just uses context stored on the network and books, but takes a long time to build that network.

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@daniele_packard Just wanted to add to @dbul that Ting can coordinate both by cc Ting in an existing thread, or if you just ask Ting "book me a call with a@mail.com, b@mail.com, etc.." it also knows to go ahead and start an thread itself

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Hey @dbul and the team, congrats on another PH launch, wishing you guys every success with this. Ting looks like a great problem solver, I will test it over the coming days to see how I get on with it

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@umar_lateef Legend thank you so much. Keep us posted as founders are important customers given how busy we all are. We'd love to hear how it plays out and what we can do to make it second nature part of your day to day.

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Trust is the make-or-break factor for an agent that emails on your behalf: what safeguards did you design first (approval modes, tone controls, escalation rules, “when to stop following up”), and how do you help users build confidence without micromanaging every message?
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@curiouskitty It's not easy, our earliest users got the worst of Ting because it's so nuanced, and we're still fine-tuning. For example, you can tell the difference between an entry level EA and one who is a 20 year veteran and it's like that with Ting. It started very junior, over-eager on follow ups, no sense of social norms and hierarchy, and is slowly getting better at knowing when to also just not saying anything if dormant in a thread and not needed. We pushed out early and free to drive usage and with that usage learnt a lot. I don't think we'll ever stop learning, but we see Ting getting used more and in higher stake contexts like investor intros and job interviews, so we feel we're on the right path. There's some similar tech that has HITL in each stage, but our decision to go fully autonomous means we need to work harder and hopefully have patient users!

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Congrats @dbul and team on the launch! I've seen firsthand how easy Ting was to work with, from the invitee site -- I had to reschedule a meeting with Dan and Ting instantly understood that, suggested alternative timeslots, and sent me a new invite after we confirmed.

Really excited to see where this goes! (And looking forward to that catch up Dan ^^)

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@dougli Haha, you've been pushing the reschedule flow to the limits, and so far happy to see it working as intended. ;-)

Thanks for taking the time to write this and buzzing to catch up soon, and support your launch and success ahead.

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@dougli I was just kidding 😄 Reschedulers keep us in business 🤣
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Big fan of Ting! I’ve been using Ting for about 4 months and was impressed by how quickly I could get started and hand off meeting scheduling. It’s significantly reduced the cognitive load and friction that usually come with coordinating meetings.

The weekly tips are also a nice touch. That gives me a quick pulse on my calendar and makes it easy to spot where I can optimize my time.

It's also great when multiple people use Ting because Ting can schedule calls faster since the typical back-and-forth isn't necessary to confirm availability.

Great work Ting team! Excited to see the progress and growth.

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@jimmyloweryjr Thank you so much Jimmy! And for flagging when we can do things better. Really appreciate you pointing the details out, helping us get better and putting trust in us with your important guests. Simplora x Ting wen? :-)

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@jimmyloweryjr Thank you Jimmy! I actually just merged an update for the weekly tip email today 🤫

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Congrats on the launch! Actually wanted to try something like this. Very clean idea!

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#4
Meteroid
Billing platform to launch, test, + scale business models
217
一句话介绍:Meteroid是一个开源、可自托管的一体化计费与变现平台,帮助早期和成长型团队快速部署、测试和扩展复杂的商业模式(如用量计费、订阅、混合定价),解决传统方案因封闭、昂贵和僵化而导致的定价实验周期长、工程负担重、数据孤岛等痛点。
Open Source GitHub Finance Operations
开源计费平台 变现引擎 用量计费 订阅管理 报价开票 商业智能 可自托管 企业级SaaS工具 开发者友好 数据驱动
用户评论摘要:用户普遍认可其解决计费复杂性的愿景,并询问技术细节(如高频率事件处理、去重机制、订阅计划支持)。核心关注点包括:与竞品的差异、开源模式下的可靠性与支持、对复杂定价场景(如收入确认)的覆盖能力。开发者对其技术栈(Rust, Kafka, ClickHouse)和灵活性表示赞赏。
AI 锐评

Meteroid的锋芒并非简单地“再造一个Stripe”,而是直指现代SaaS计费体系的深层悖论:定价作为核心增长杠杆,其基础设施却往往封闭、僵化且与业务演进脱节。它祭出“开源”与“一体化”两把利刃,试图颠覆行业惯例。

其真正价值在于将“计费”从被动执行的财务后端,重构为可主动编程的“业务模型引擎”。通过整合产品目录、用量计量、报价、开票与BI,它旨在成为跨销售、财务、产品团队的唯一可信数据源,从而终结定价逻辑散落于Excel与维基的混沌状态。技术栈选择(Rust, Kafka, ClickHouse)彰显了其对高吞吐、实时性与可扩展性的严肃承诺,并非技术炫技,而是为其“让早期团队拥有规模化能力”的宣言奠基。

然而,其挑战同样尖锐。开源模式虽能快速吸引开发者并建立信任,但如何构建可持续的商业模式?其提出的“赞助开发”快速通道,实则是平衡社区民主与商业紧急需求的精妙尝试,但长期运营中,服务分级、SLA保障与核心开源路线图的平衡将面临持续考验。此外,平台野心巨大,从实时计量到财务分析,其能否在保持核心简洁的同时,满足企业级客户对GAAP合规、审计追溯等深水区需求,仍需观察。

本质上,Meteroid售卖的不是功能,而是“定价自由”。它赌定的是下一代软件公司会将商业模型的快速迭代视为核心竞争力,并愿意为此投资一个中立、透明且强大的底层引擎。它的成功与否,将检验“开源”在极度重视可靠性与合规性的B2B金融基础设施领域,究竟能走多远。

查看原始信息
Meteroid
Meteroid is a monetization platform built so early-stage teams can ship like they're already at scale: ✅ One engine for subscriptions, usage-based pricing, quote-to-cash, invoicing and business intelligence ✅ Support any Go-to-Market motion ✅ Open-source (not open core) and extendable. Self-host it or let us run it. Either way, it’s yours. 🚀

Hi Makers! 👋

I'm Donatien, maker of Meteroid, along with Gaspard and Teake. We’re excited to finally share what we’ve been building in the open.

Why another billing tool?
Honestly, we were frustrated. The billing space has exploded, but the pattern is always the same: powerful features are gated behind "talk to sales" banners and 5-figures contracts. Early-stage teams are left with duct-taped Stripe setups or rigid systems that can’t evolve.

We wanted to flip that. Meteroid is built on a simple philosophy: Advanced billing capabilities should be accessible from day one (not something you "graduate" into at Series B).

What we're building:
🔓 Open Source: A monetization platform you can inspect, extend, and self-host (check our repo).
For the devs: We are built with Rust, React, Postgres, Clickhouse and Kafka 🦀

⚙️ All-in-One: Usage metering, plans management, quotes, and invoicing in one hub.

💰 Full Flexibility: Usage-based, hybrid, subscriptions, grandfathering, and custom deals.

📊 Data-Driven: Next steps focused on churn signals and upsell triggers, not just invoices.

🤝 Community-Led Roadmap (with a Fast Lane): We build in the open and prioritize features based on the feedbacks of our 900+ community members. But we know business needs can't always wait. Need a feature yesterday? We fully support Sponsored Development. You can fast-track critical integrations or features by sponsoring them, getting exactly what you need while contributing back to the open-source.


We'd love your support on this launch and your honest feedback. Whether it's feature requests, deep technical questions, or even a friendly roast, we're here for it! 🚀

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@ddu Congrats on the launch! How does it differ from products like @Dodo Payments or similar?

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Hey everyone! I'm Gaspard, co-founder and engineer at Meteroid 👋

I've been in the data-driven billing trenches for years and got tired of watching teams rebuild the same infrastructure over and over. So we built what we wished existed, a flexible platform, open-source, and actually enjoyable to use and work on.

Happy to chat about the tech stack (Rust, Kafka, Clickhouse), scaling, architecture decisions, self-hosting or anything else. Ask away!

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@gaspard_bn Impressive vision! Building scalable, open-source billing infrastructure in Rust is a compelling answer to a real pain point. The focus on developer experience and flexibility, from Kafka to self-hosting options, makes Meteroid stand out. Excited to see how the project evolves. Best of luck.

0
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So you’re telling me I don’t need a PhD in Stripe webhooks anymore? I’m listening :D

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@abod_rehman That's right 😄 We're abstracting out the payment provider complexity. We've started with Stripe, but are working on adding cheaper and local alternatives !

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Monetization is indeed complex to handle. We built Meteroid to make it easy. @abod_rehman forget about your PhD! ;)

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Really impressed by the vision here. We often see a gap between how GTM teams want to price and what engineering can actually support. Upvoted for the mission to make advanced monetization accessible to everyone!
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@abod_rehman thanks a lot for your support!

You've put the finger on a massive pain point. That gap between GTM strategy and engineering capacity is exactly what turns pricing experiments into months-long projects.

I'm glad the mission resonates with you. Making advanced monetization accessible to everyone (not just big SaaS) is what keeps us pushing every day! ;) We truly think that advanced monetization capabilities are a must-have from day 1 and not a luxury you can only afford at Serie B.

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@abod_rehman Spot on! Thanks a lot, really appreciate the support!

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The struggles sound very familiar. I’ve worked on a pricing project that took months to get even close to right, largely because the billing architecture itself was fundamentally broken. Everything lived in Excel spreadsheets, scattered across internal wikis, with outdated pricing details and highly complex logic. With over 100 options influencing the final price a client sees, pricing was AND is difficult to understand for both customers and internal teams. Spoiler alert: we’re still not there yet, which is exactly why this billing platform be a very interesting product to explore!

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@jasminiii your story is exactly why we built Meteroid!

What you described—pricing living in Excel and outdated wikis—is the reality for so many SaaS companies. The fundamental problem is that pricing data is usually scattered among many teams (Sales, RevOps, Finance, Product) creating massive data silos.

Meteroid acts as the single source of truth by managing the entire Product Catalog in one place. By unifying metering, billing, invoicing and quoting we break those data silos and ensure that what Sales quotes is exactly what Finance invoices and what the Product actually delivers.

Beyond the internal efficiency, this is also about Customer Confidence. When pricing is a "black box", too complex to explain or source of mistakes, trust vanishes. Having a clear, automated system brings that transparency back to the client (ultimately reducing churn).

We’d love to help you get "there" and finally retire those spreadsheets! Good luck with your ongoing project! 🚀

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Thanks@jasminiii! This is exactly the type of scenario we’ve experienced ourselves and had in mind when building @Meteroid. Appreciate the support!

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Cool. I am now working on some payment stuff. Tho a little bit different things (like merchants, ISO, PSP etc.) So definitelly will have a look at it :)

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@busmark_w_nika Great to hear ! Always happy to share experience and feedback if you wanna chat !

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Thanks @busmark_w_nika for your comment! Always happy to chat if you face billing issues ;)

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Thanks@busmark_w_nika! Appreciate it!

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For usage-based pricing, how does Meteroid handle high-frequency events?

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@lightninglx Hey Xiang ! We ingest at scale in Kafka for buffering, then batch ingest into Clickhouse for aggregation and query ! This allows us to easily handle burst and scale to millions of events (while still being self-hostable on modest hardware for self-hosting, depending on the kafka distribution you use)

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Hey all! I’m Teake, co-founder at Meteroid 👋


I’m on the product/design side, and I’ve spent way too much time dealing with billing systems that were built for one very specific case and then left untouched. They work fine as long as nothing changes. But the moment you want to tweak pricing or try something new, the whole thing becomes fragile overnight.


We built Meteroid because billing shouldn’t be a black box. It should be flexible by default, so teams can experiment and iterate without breaking things.


Happy to chat product & design!

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Open-source and self-hosting are powerful but raise trust and operational questions: how do you think about supportability and reliability (e.g., “who do I call at 2am”), and what’s your long-term model for balancing community-led roadmap with business-critical, time-sensitive needs?
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@curiouskitty thanks for your question.

We offer different plans with varying levels of service (community support, email support, dedicated account manager, SLA to handle the "2am call"...) depending on users' needs.

Regarding our roadmap, we fully support Sponsored Developments. You can fast-track critical integrations or features by sponsoring them. This ensures you get exactly what you need on your timeline while contributing back to the open-source ecosystem.

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Meteroid being fully OSS (not open-core) + the Kafka → ClickHouse metering pipeline is a strong “ship pricing like you’re at scale” stance. How are you ensuring exactly-once / idempotent usage ingestion so retries don’t double-bill (event IDs, dedupe windows, replay)? We dealt with similar at scale and “late events + corrections” was the constant headache. Any plans for native revenue recognition + proration audits out of the box? 🔥

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@ryan_thill Hi Ryan ! We're using an idempotency key (event ID) to deduplicate, both via a specific Clickhouse table construct (eventual dedup) and at query time to guaranty true exactly-once processing. It's a bit more costly and we'll evaluate alternatives to do more within Kafka, but at our scale it works perfectly. We do support late events as long as they stay within the current period + grace period (once finalized you enter the credit note category).
Regarding audit, invoices do keep a copy of all the data used to compute them, we don't expose proration audit info though, if needed we can.
Regarding the revenue recognition, our goal throughout the year is to build a complete data-driven decision platform for finance and sales, through advanced and realtime analytics. We do not plan at this point GAAP/IFRS-compliant deferred revenue accounting though (but we can integrate with accounting softwares that do).

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Congrats on the launch guys! Really useful one, especially for small teams like my stage now. Best of luck!

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@th_calafatidis Thanks Theodore, appreciate the support :)

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Nice! Are you planning on supporting subscription schedules as well? Side-note, this page in your docs is 404ing: https://docs.meteroid.com/subscriptions/what-is-a-subscription

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@jared_scheel Hey Jared ! Subscription phases is not there yet but it's definitely on the roadmap. If you have a specific use case for schedules let us know, we prioritize based on the community feedback !
Thanks for the report, we'll look into it !

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Thanks@jared_scheel! We currently support controlling the timing and lifecycle of subscriptions. Full-on phasing isn’t live yet, but is indeed definitely on the roadmap.

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#5
AI Chrome Extension Builder
Build Chrome Extensions by Talking to AI
211
一句话介绍:这是一款通过自然语言对话式AI,帮助无编程经验的用户自动完成从设计、编码到隐私政策和商店上架全流程的Chrome扩展开发工具,解决了普通人快速创建个性化浏览器扩展的难题。
Browser Extensions Design Tools Development
AI低代码开发 浏览器扩展生成器 无代码工具 Chrome扩展 自动化编程 产品化AI 开发者工具 快速原型
用户评论摘要:用户肯定其“用对话构建扩展”的核心价值,但存在疑问:主页对扩展功能展示不足;试用前即要求升级,定价模式(积分)不清晰;对生成扩展的安全性、权限审查和跨浏览器兼容性表示关切;期待看到更多实际构建案例。
AI 锐评

“Shipper Extensions”将AI应用构建器的战火引向了浏览器扩展这一更垂直、更易分发的场景,其宣称的“全流程”自动化是最大卖点。它试图抽象掉的不仅是代码,更是整个Chrome生态的繁琐知识(API、清单文件、商店政策),这直击了那些有想法但被技术栈劝退的潜在创造者的痛点。

然而,其光鲜承诺之下暗藏礁石。首先,**“完整”与“可靠”之间存在鸿沟**。评论中关于安全性、权限审查和“最后一公里”部署问题的担忧非常关键。AI生成的代码是否安全、高效?其自动配置的权限是否最小化?这些关乎用户信任的核心问题,产品介绍语焉不详。其次,**商业模式与用户体验存在矛盾**。在用户未体验核心价值前就弹出升级付费,会严重阻碍转化。其“积分”制若与提示词复杂度挂钩,则意味着用户成本不可预测,这与“简单描述即可”的初衷背道而驰。

本质上,这款产品是“AI作为副驾驶”向“AI作为自动驾驶”的一次激进尝试。它的真正价值不在于替代资深开发者(复杂、高性能扩展仍需人工),而在于**将浏览器扩展从一个“开发项目”降维成一个“创意描述”任务**,极大地降低了创新门槛。但它能否成功,取决于其AI在垂直领域的深度理解能否经得起真实场景的考验,以及其商业设计是否与用户的价值获取过程同频。否则,它可能只是一个酷炫的、但只能生成玩具级扩展的演示工具。

查看原始信息
AI Chrome Extension Builder
Prompt AI to build complete Chrome Extensions. Give instructions in plain English and AI designs, codes, writes your privacy policy and creates a Chrome Web Store listing for you. Anyone can become an extension developer without knowing how to code.

Hi PH, cofounder of Shipper here. Very happy to announce Shipper as the 1st complete AI extension builder!!

tl;dr: Imagine if building browser extensions didn’t require knowing JavaScript, Chrome APIs, or config files. You just describe the extension you want, and it exists. That’s Shipper Extensions.

With Shipper Extensions, you can:

  • Build any browser extension you can think of

  • Recreate or customize existing extensions

  • Launch your own tools instead of paying for someone else’s

  • Customize behavior and UI as much as you want

  • Ship once and have it work across all Chromium-based browsers (Chrome, Atlas, Comet, Edge, Brave, Arc, Opera, Vivaldi, etc)

We also handle the annoying parts for you: Auto-generated privacy policy, pre-written Chrome Web Store listing text, and a packaging and publishing flow that works without touching config files.

A bunch of people in our community have already been using this internally and building surprisingly real extensions, so we’re excited to finally share it publicly and see what you all build with it 😺 😺

7
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Hey Ankit, good hunt! :) @saaswarrior

@chddaniel @chhddavid (r/SaaS mods crushing it on Product Hunt 😊). Nice to see you here!

Quick questions:

  • The landing page mentions no browser extension or extension templates. Do you have a landing page for extensions on the website?

  • I loved the demo, but trying the product prompted an upgrade without any trial credits. Is that intentional?

  • How do credits work? Each prompt is certain number of credits?

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@chhddavid This is a wild unlock. As someone who lives in Chrome extension land, my biggest worry is the last 20%: permissions, store review, and “it works on my machine” bugs. How do you keep generated extensions safe and reviewable - is there a clear diff / permission explanation before it ships?

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Congratulations to the makers on the launch! Turning plain-English prompts into fully functional Chrome Extensions — from design and code to privacy policy and Chrome Web Store listing — is a powerful idea.

Best wishes for a successful launch and wide adoption. 😍

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@saaswarrior Cheers Ankit, we're very happy to have you here :)

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Congrats on the launch! I'm a bit confused by the homepage, I don't see much of a focus on browser extensions there. Is that something new you're exploring? I think the browser extensions play is compelling, since there's no real deployment process. Extensions could just immediately be installed and available/useful to the end user. Would it be a "one install -> many extensions" approach or does the user have to install multiple extensions?

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@wilco_kruijer1 Hey, thank you! Extensions are new, we haven't designed our home page around them yet. This is a new feature as part of the AI app builder (see previous launches).

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Great product to build chrome extensions easily. Congrats on the launch!

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@ramitkoul Thank you Ramit!!

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What was the exact moment or workflow where you felt “building an extension shouldn’t require becoming an extension developer,” and what evidence convinced you this wasn’t just your pain (e.g., how many attempts, conversations, or failed builds did you see before committing)?
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@curiouskitty We already solved building apps from simple prompts, and we thought "What's the next level?" - that's how extensions came to mind.

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Very cool - I like the idea of more targetted/focused ai app builders - can you share some chrome extensions built using this?

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@daniele_packard Hey hey! The feature was just released days ago, we're still collecting a few extensions to create a "hub" of templates, or examples if you may.

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And then, what happens? 1. What do I do by creating an extension? 2. Tons of AI coding agents can do this better.
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@rahijamil Hey, thanks for showing interest!

  1. Hmm, not sure I got the question right, so let me know if this doesn't answer right - you create an extension by sending a prompt to the AI, and you then use as you wish. That's the fun part, it's up to you how you use it :)

  2. Have you tired Shipper yet? I'm sure you'll enjoy how well Shipper handles extensions - we believe we're the first AI app builder dedicated and optimized for extensions in the full sense of the word

Happy to clarify anything else!

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#6
The Prompting Company
SEO is dead. Be the product cited by ChatGPT.
203
一句话介绍:一款通过优化产品在AI模型(如ChatGPT)回答中的推荐可见性,帮助企业在AI优先的决策场景中获取客户的新型营销平台。
Marketing SEO Artificial Intelligence
AI推荐优化 AI时代营销 SEO替代 LLM可见性 产品定位 竞争分析 内容策略 B2B增长工具
用户评论摘要:用户肯定其解决AI时代流量获取痛点的价值,但主要疑问集中于:与竞品(如AthenaHQ)的差异化、技术原理(如何衡量和优化)、对AI幻觉的应对策略,以及与传统SEO的对比。部分用户认为SEO未死,只是形式改变。
AI 锐评

“SEO已死”的标语是典型的颠覆式营销话术,旨在制造焦虑并宣告新赛道的诞生。其真正的价值不在于“杀死”SEO,而在于敏锐地捕捉到一个范式转移:用户的决策入口正从主动搜索(Google)转向交互式问答(AI)。传统SEO优化的是静态网页与固定关键词的关系,而该产品试图优化的是产品信息在LLM动态推理逻辑中的“嵌入深度”与“推荐优先级”。

产品逻辑的核心挑战与机遇并存。机遇在于,它瞄准了一个规则尚未固化的蓝海市场,通过分析模型回答的规律(如使用场景描述、对比措辞、不确定性表达),为客户提供优化叙事结构的策略,本质是“训练”企业成为AI眼中的“标准答案”。其宣称的“不操控系统”立场,实则是当前技术限制下的务实选择,也规避了伦理风险。

然而,其面临的挑战同样尖锐。首先,AI推荐生态极度中心化且黑盒化,受模型训练数据、实时索引策略及平台商业合作影响巨大,优化手段的稳定性和杠杆效应存疑。其次,价值衡量标准模糊,“被推荐次数”这类中间指标与最终业务增长之间的归因链路远比传统SEO漫长和复杂。最后,市场尚处早期,其方法论能否形成如SEO般系统化的最佳实践,还是最终沦为针对少数主流模型的、波动性极大的“提示工程”服务,仍有待观察。

总体而言,这是一款极具前瞻性的赛道定义者产品。它出售的不是确定性,而是在AI主导的信息分发新时代下,企业不可或缺的“入场券”和“测试工具”。其长期成功不取决于话术是否犀利,而取决于能否在快速演变的AI生态中,建立起可验证、可复制的“推荐优化”科学。

查看原始信息
The Prompting Company
Customers now get recommendations from AI, not Google. Be in those answers.

SEO is dead.

I've launched 5+ products since my first startup, Typedream, was acquired in 2024.

One day, I was about to launch again. Everything was ready. The code was done, the product was polished, the team was waiting.

Then I realized: I hadn't set up welcome emails.

So I opened the AI sidebar within Cursor and typed: "How do I send a welcome email to users after signup?"

In seconds, I got an answer: "You can use Resend to send transactional emails."

Code inserted. Done.

That moment changed everything for me.

The decision happened inside my workflow. The AI picked the tool. I just said yes.

And that's when I realized: if your product isn't the one AI recommends in that moment, you're not even in the running.

This is why we built The Prompting Company.

13
回复

@michelle_marcelline Congrats! How does it differentiate from another YC product AthenaHQ?

2
回复

@michelle_marcelline Congrats on the launch. Is it solely for ChatGPT or other companies as well?

0
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@michelle_marcelline HUGE!!!! Prompting Company has one of the best GEO tools out there - glad you're getting the word out!

0
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The Prompting Company is such a life saver!!!

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@dhruv_roongta The same goes to Slashy!! I'm never on Gmail anymore

0
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Such a useful product, helps us rank so much

4
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@harsha_gaddipati Thanks Harsha!! Slashy helps me save sooo much time!

0
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This is interesting. In SEO, at least we can guess what parameters to tweak to get ranked like backlinks, content, etc. How does it work with LLMs? What are you measuring and recommending?

2
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@gokuljd Great question. LLMs don’t work with fixed ranking factors the way search engines do, so there isn’t a clean checklist like backlinks or keyword density.


What we measure instead is:

  • When your product appears in AI answers vs alternatives

  • How it’s described (use-case, category, comparisons)

  • Where models seem uncertain or vague

And what we recommend focuses on reducing that uncertainty:

  • Clear category + “job to be done” positioning

  • Explicit comparison and exclusion language

  • Consistent product narratives across the sources models tend to rely on

So it’s less about tweaking a single signal, and more about making your product the easiest, most defensible answer for an AI to give, without trying to game the system!

1
回复

Nice! Been wondering if there is a tool that can do this well. Excited to start using this and see how it helps my products grow in AEO

2
回复

@matthew_lock Love hearing that, thanks so much!
We're seeing a lot of success with consumer AI product, so I'm excited to see how it works for Kidgeni!

0
回复

How does The Prompting Company handle the 'hallucination' factor? If an AI recommends a competitor by mistake, what levers can a product pull through your platform?

2
回复

@lightninglx Great question. Short answer: we’re not gaming the system -- there’s no switch to “block” competitors.

What products can do through our platform is shape the signals LLMs rely on:

  • Clarify when your product is the right choice (and when it isn’t)

  • Reduce ambiguity around category, use-case, and differentiation

  • Make comparison language explicit so models don’t guess

The goal isn’t to force recommendations, but to increase the probability that when an AI answers honestly, your product is the most defensible option, and competitors show up less often by default.

Let me know if that makes sense!

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We give you results. Not vanity metrics!
2
回复
What’s your differentiation against (1) enterprise AI visibility platforms and (2) doing this manually with prompts + spreadsheets + content briefs—specifically, what do you do that others don’t, and where do you intentionally not compete?
1
回复

mega fan!!

1
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@ollieforsyth thanks ollie!
0
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This is interesting, I don’t actually agree that SEO is dead, bc at the end of the day this is the same create content, the game just changed
1
回复

You nailed it - showing up on AI platforms is indeed essential, especially now that the adoption is growing.

Do you plan to add features related to ads (OpenAI announced they are launching ads recently)? Also, how do you retrieve exact user questions? Cheers!

1
回复

Congrats! We love using the product

0
回复
Love this
0
回复

Looks like a great AEO platform!

0
回复

We’ve been working with The Prompting Company for a while, and their structured, data‑driven approach to getting us recommended inside real AI conversations has sharpened our positioning and driven more qualified inbound from people who “heard about us from ChatGPT/AI.” They’re one of the few partners that back it up with measurable impact.

0
回复

Congrats guys! Super useful product - we’re fans!

0
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So cool!! I have been using this tool from quite a while and its nice.

0
回复

you guys are on another level. been using for my website’s SEO and it’s improved dramatically

0
回复

Love it!

0
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This is fascinating - the shift from optimizing for Google's algorithms to becoming the go-to recommendation in AI conversations is definitely the future. I'm curious how you measure success in GEO compared to traditional SEO metrics?

0
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Wow! I need this

0
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GEO is the next frontier!

0
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#7
Agentic Vision in Gemini
Agentic visual reasoning with code execution
161
一句话介绍:Gemini 3 Flash 推出的 Agentic Vision 功能,通过将图像理解转化为一个能自主编写代码并执行的“智能体”过程,在需要高精度视觉分析(如工业检测、科研计数)的场景下,解决了传统视觉模型“目测”不准确、可靠性不足的核心痛点。
Artificial Intelligence Development
多模态AI 智能体 视觉推理 代码执行 Gemini 图像分析 自动化 AI工程化 OpenCV Agentic AI
用户评论摘要:用户高度评价其实现了“感知-推理-行动”的自主循环,通过编写OpenCV脚本精准解决计数问题,展现了工程化思维的突破。同时有用户询问大幅降价是否适用于多模态系统提示中的大型图像数据集,关注成本与规模化应用。
AI 锐评

Agentic Vision 所标榜的“将静态图像理解转化为智能体过程”,其真正的颠覆性不在于“看”,而在于“想”和“做”。它让大模型从一名“观察员”晋升为“现场工程师”。传统多模态模型描述内容尚可,但一旦涉及精确量化(如计数、测量),其概率本质导致的“模糊性”便成为致命伤。此功能的核心价值是引入了“工具使用”与“闭环验证”的机制:模型自知视觉感知存在误差边际,于是自主调用代码工具(如OpenCV)来建立可重复、可验证的精确分析流程。这标志着多模态AI从“感知智能”向“任务智能”的关键一跃。

然而,其光环之下暗藏挑战。首先,该能力严重依赖代码执行的正确性与安全性,在开放环境中将图像分析与自动代码执行捆绑,风险管控是首要难题。其次,评论中关于成本与大规模数据集应用的疑问,恰恰点中了其商业化命门——炫技的Demo与稳定、廉价地处理海量产业级任务之间存在巨大鸿沟。它目前更像一个为开发者展示的“概念引擎”,证明了路径可行,但距离成为普适的“视觉自动化流水线”还需在可靠性、成本与控制粒度上经受锤炼。总体而言,这是一个极具启发性的方向性产品,它撕开了AI应用从“辅助分析”走向“自主执行”的一道口子,但距离真正接管关键任务,还有漫长的工程化之路要走。

查看原始信息
Agentic Vision in Gemini
Agentic Vision, a new capability introduced in Gemini 3 Flash, converts image understanding from a static act into an agentic process

Hi everyone!

OK, really excited about this one because it takes a huge step forward in visual context.

Tested it by asking it to find all the red dots in an image. Instead of trying to "eyeball" it (which models usually fail at), Gemini 3 Flash realized that "counting by eye" is imprecise. So it decided to act like an engineer and write a professional OpenCV script to solve it accurately.

The logic flow was fascinating:

  • Task: Precision counting.

  • Reasoning: Visual models have error margins -> I should use Python tools.

  • Action: Filter pixels via HSV color space -> Use findContours to locate them.

This actually blew my mind. Natively realizing the "Perception - Reasoning - Action" loop in vision is critical for real-world apps.

The demos in Google AI Studio are also worth checking out. Definitely some of the most interesting and inspiring visual use cases I've seen.

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with the 90% cost reduction mentioned, does this apply to multimodal inputs like huge image datasets used as part of a system prompt?

2
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#8
StoryCV
Guided AI that interviews you and writes your resume for you
158
一句话介绍:一款通过AI引导式访谈,帮助用户梳理工作经历并自动生成专业简历内容的工具,解决了用户在简历撰写中难以将自身经验转化为清晰、有力文字的痛点。
Productivity Writing Career
AI简历生成 引导式访谈 职业发展 简历优化 智能写作 求职工具 内容创作 SaaS 生产力工具 ATS友好
用户评论摘要:用户普遍赞赏其“访谈”模式优于传统空白模板,能激发回忆。主要问题/建议包括:是否支持上传旧简历迭代更新、能否针对特定职位定制、如何处理小众职业路径、内容编辑与设计控制权,以及多语言支持时间表。
AI 锐评

StoryCV的聪明之处,在于它精准地识别并攻击了简历制作流程中真正的“黑箱”:不是格式,也不是关键词堆砌,而是从混沌的个人经历到结构化、有说服力文本的“翻译”过程。它用“引导式访谈”作为核心交互,本质上是将人类职业顾问的追问、澄清和框架判断能力,通过对话式AI进行了产品化封装。

其宣称的“编辑判断”是核心价值壁垒,也是风险所在。产品试图替代的不是文字秘书,而是初级内容策略师——它决定“保留什么、优先什么、删减什么”。这在处理常规职业路径时可能高效,但对于高度非线性或技术壁垒极强的领域,AI能否提出“深潜”问题并理解复杂语境,仍需观察。从团队回复看,他们策略性地将设计环节剥离,聚焦内容生产,这既是定位清晰(做“大脑”而非“美工”),也巧妙规避了模板红海竞争。

真正的挑战在于其价值定位的持续性。它将自己与ChatGPT类通用工具区隔开,强调“省去提示工程与反复打磨的劳作”。这瞄准了愿意为便利付费的用户,但一旦用户通过该产品学会“叙事框架”,其复购率是否会降低?此外,$39/月的订阅定价直指高端市场,这要求其输出的内容质量必须持续稳定地接近甚至超越人类专家的平均水平,否则极易被视作“一次性使用”的启动工具。它不是在做一个更聪明的优化器,而是在赌用户愿意为“思考外包”付费。这场赌局成败,取决于其AI“编辑”的深度能否随用户增长而进化,形成真正的数据护城河。

查看原始信息
StoryCV
Resume builders make you write first. StoryCV doesn’t. We start with a guided interview. You talk through your work without worrying about wording or length. We extract the context and write clear, professional resume bullet points for you.

👋 Hey Product Hunt, Kavya here, maker of StoryCV.

Most resume tools assume the hard part is formatting or keywords (or optimizing for ATS).
From watching people struggle, I realized the problem comes much earlier.

Formatting is easy. Thinking is hard.

People know their work.

They just don’t know how to turn it into clear resume sentences.

So we flipped the process.

StoryCV doesn’t start with forms or templates.

It starts with a guided interview, like a human resume writer would do.

  1. The questions adapt to your background and experience. You talk freely about your work, decisions, and impact without worrying about wording or length.

  2. We handle the editorial thinking: deciding what matters, what to prioritize, and what to cut.

  3. The result is clear, professional resume bullet points that actually reflect your experience.

I’d love for you to try it out and tell me about your experience with resume writing on StoryCV. Your feedback will directly shape what we build next.

Thanks for checking it out!

🎁 Product Hunt offer: $39/month (usual price $59/month), for supporting us early on.
The discounted rate applies every month as long as your subscription stays active. Offer runs until the end of Feb 2026. Grab it now!
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@k_j1 Kavya, huge congrats on the launch! I'm thrilled to hunt it.

Unlike typical resume tools, this one shines by letting AI "interview" you, then generating a polished, ready-to-use resume.

Wishing you massive success today and always!

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This sounds so much better than staring at a blank template. Rewriting a resume is such a chore because you usually forget half of the cool stuff you've done. I love the idea of a relaxed 'chat' to pull out the story.

Quick question though—can I upload my old CV first so the AI can just ask me about what's changed since the last update? Or do I start from scratch with the interview?

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@valeriia_kuna Yes, that's the idea. Glad it resonated with you!

Yes, you can upload your old CV first and that's broken down into different roles.
You’ll start with the interview from scratch and this is by design 🙂


We’ve found that even older roles benefit from fresh context, not just what was written down last time.
But you can pick one role to interview for free (most people choose their most recent), so it’s focused and low-effort to get started. That way you can generate resume bullet points for the most recent changes in your work life.

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Awesome tool to stand out from the crown in a busy job market. Congratulations and good luck with the launch

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@devluc Thanks Lucian! Glad you liked it :)

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Congrats on the launch! Does the tool adjust your CV to a specific job offer?

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@alina_petrova3 Thanks Alina!

Think of StoryCV like a human resume writer. The first thing they do isn’t tailor your resume to a job description. It is to understand your work and write a strong core resume.

That’s our focus too: capturing the right context and creating clear, high-quality content once. From there, adapting it for specific roles becomes much easier, without rewriting everything each time.

We help you come up with a solid foundational resume content.

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Hey! What an excellent concept, this is going to help so many people. In my experience as a professional resume writer, I agree, the hardest part of working with a client is getting the good data from them; their narrative is always hidden and needs to be extracted. Having an LLM pull ou thteir best work? Gold.

I would love to see the quality of the CV. If there are any errors, are they correctable?
Are there customization options for the design?
Can you tell the AI to EXCLUDE any info if you chose to?

Good luck today, and in the future, Kavya. You're killing it!!

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@troy_carr Thanks Troy!
And that means a lot coming from a professional resume writer.

Yes, you're right. The hardest part is extracting the real story and experiences from the clients.

On your questions:

Quality & corrections: Yes, everything is editable. You can review, tweak, and refine the output by talking to our AI. Our job is to give you a strong, thoughtful first draft grounded in real context.
Errors: If something feels off, it’s correctable. The system improves as you clarify or adjust.
Design customization: We’re intentionally not design-first. The focus is on clear, strong content that works across formats. You can copy the bullet points and apply it to any layout you prefer.
Excluding information: Yes, you’re always in control of what gets included or left out.

Thanks again! Really appreciate the thoughtful questions and the encouragement. 🙏🏼

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How does the AI handle niche technical roles or unconventional career paths? Does it have specific industry-based knowledge to ask deep follow-up questions?

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@lightninglx The interview adapts to your background and what you share. For niche or unconventional roles, the follow-ups focus on context like decisions, constraints and impact.

That’s what makes the output work even when the career path isn’t typical.

You can give it a try and let me know if it works for you. We're open to feedback and continuously improving the product through our early users.

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congrats on the launch! this is really such a great tool, sounds very promising! which languages does it support for now?

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@yellow_yetti Thanks Vera!

Right now, StoryCV supports only English. We want to get the interview quality and writing right in one language before expanding further. But more languages are definitely on our radar as we grow.

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Many people can already get “a resume draft” from ChatGPT or an AI builder—what is the specific switching trigger you’re betting on (e.g., better questions, better bullets, fewer hallucinations, faster tailoring), and where do you draw the line between “writer” vs “optimizer”?
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@curiouskitty Yes, you can use ChatGPT for your resume. Many people do. But what you get is usually words, not clarity.

With ChatGPT, the work still falls on you:

  • You paste in your resume and hope it understands what matters.

  • You hunt for the right prompt, tweak it and repeat.

  • You supply missing context it doesn’t know to ask for.

  • You rewrite bullets, adjust tone and guess when it’s “good enough.”

StoryCV switches that experience.

The trigger we’re betting on is editorial judgment. We guide you through an interview designed to surface the decisions, scope and impact that generic prompts miss. Then we decide what belongs on the resume, how it’s structured, and what gets cut. It's the same judgment a human resume writer charges for.

That’s where we draw the line:

  • A writer decides what matters and shapes the story.

  • An optimizer tweaks wording or keywords after the fact.

AI is how we scale that judgment. It’s not the product.

If you already enjoy prompt-crafting and manual polishing, ChatGPT works fine. StoryCV is for people who want a strong resume without doing all that work themselves.

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#9
Kipps AI WhatsApp Agent
Turn WhatsApp chats into revenue on autopilot
143
一句话介绍:一款集成于WhatsApp的AI商务助手,通过7x24小时自动回复、智能转人工及客户关系自动化,解决中小企业因无法即时响应而流失客户线索的痛点。
Messaging Sales Artificial Intelligence
WhatsApp自动化 AI客服 销售转化 客户互动 会话式商务 CRM集成 多语言支持 人机协作 SaaS 中小企业工具
用户评论摘要:用户肯定其解决实时沟通痛点的价值,关注人机交接逻辑、数据安全、个性化程度和上下文记忆能力。建议直接链接产品详情页。创始人回复解释了通过规则/API触发人工介入、提供本地化部署选项及基于自定义属性和AI生成保持对话人性化。
AI 锐评

Kipps AI看似是又一个WhatsApp自动化工具,但其真正锋芒在于精准切入了“规模化人情味”这一悖论式需求。它不满足于充当一个关键词触发的应答机器,而是试图成为嵌入商务流程的“数字员工”——能处理语音、更新CRM、触发工作流,这使其从“聊天机器人”升维为“业务流程自动化接口”。

产品聪明地采用了“AI优先,人类兜底”的混合策略。这不仅缓解了企业对AI“失控”的焦虑,更关键的是,它将人类从重复劳动中解放后,重新定位为处理高价值、高情感复杂度对话的决策者。这种设计隐含了一个残酷的洞察:在商务沟通中,完全无人介入的“全自动化”可能是个伪需求,客户渴望的效率和真人关怀间的平衡点,才是产品应该锚定的核心。

然而,其面临的挑战同样尖锐。首先,WhatsApp生态的合规性与政策风险如同达摩克利斯之剑,模板审核、封号风险、定价变动都可能成为业务天花板。其次,“人类级”对话体验高度依赖训练数据和个性化配置,这对中小企业的数字能力提出了隐性要求。最后,11美元的定价策略虽具吸引力,但在需要承载CRM集成、多语言、工作流自动化等重型功能时,其长期盈利模式与成本控制能力有待考验。

本质上,Kipps AI的价值不在于其技术栈的独特性,而在于对“WhatsApp作为新兴商务操作系统”这一趋势的早期押注和深度集成。它能否成功,将取决于其能否在平台规则与用户需求、自动化效率与人性化温度、标准化产品与深度定制之间,找到那个精妙且可持续的平衡点。

查看原始信息
Kipps AI WhatsApp Agent
The easiest and cheapest way to grow your business on WhatsApp. See every message in one simple inbox where AI answers fast, but you can still step in for the important stuff. Automatically send birthday, rewards and loyalty gifts to your customers. Stop wasting money and start selling more for just $11

Hey 👋

I'm Nishit Chittora, Co-founder and CTO of Kipps.AI. We're back for our third launch.

We have been building Kipps.AI for the past 2 years.

Here's the problem we kept hearing:

WhatsApp is where our customers are. They expect instant replies. Our team can't be online 24/7 — and every delayed response costs us a deal.

Sound familiar?

Businesses are losing leads at 2 pm. Support teams are buried. And customers? They're left on read.

The real challenge isn't speed - it's being fast, personal, AND scalable.

Most "AI chatbots" feel robotic. Customers know. They disengage.

So we built something different: Kipps AI WhatsApp Agent - an AI that actually sounds human.

What makes it different:

  • Understands voice notes

  • Speaks 100+ languages naturally

  • Takes real actions: updates your CRM, triggers workflows, books meetings

  • Knows when to loop in a human (because some conversations need that)

Early results from our beta users:

  • 80% fewer missed leads outside business hours

  • Support teams handling 3x more conversations

  • Customers can't tell they're talking to AI

We built this for teams who live on WhatsApp every day — sales teams, support teams, service businesses.

We'd love your honest feedback:

Try the demo→ https://app.kipps.ai/?utm_source=product_hunt&utm_medium=comment

And tell us: does it pass the human test?

Try it, break it, tell us what's missing 💬

— Nishit | Kipps.AI 🚀

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@nishit_chittora Congrats on the launch. It looks exciting!

Quick note: the launch links to your homepage. Pointing directly to the WhatsApp agent landing page might help visitors dive right into the details: https://www.kipps.ai/products/whatsapp-agent

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Interesting concept!
Tools that simplify customer communication and support for businesses using WhatsApp are much needed.
Curious to see what features you prioritize in the first version especially around automation and human handoff.

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@ravi_singh59 Thank you!

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Huge congrats to the entire Kipps.AI team on the launch! 🥳

Having seen 15+ founders scale to 100k+ messages on the platform already, I know firsthand how much of a game-changer this is.
We’re not just sending messages; we're helping businesses turn broadcasts into real-time conversions with AI. Let’s go! 🚀

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How does it understand when to loop in a human? Do you have a standard knowledge base for that, or does each user specify keywords/reasons, or is it a mix of both?

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@kristina__grits Nice question!

We can define the cases where we want to loop in humans. Action to loop in a human can be multiple, like an API call, a CRM update or notify via email/Whatsapp/Slack.

Then the the human can respond to the customer by going to kipps whatsapp inbox and talk directly from there.

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Congratulations on the launch 🎉

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@shubham_pratap Thank you !

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Congratulations!!!

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@madalina_barbu Thank you!

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This is a compelling take on WhatsApp automation 👏
You’re clearly addressing a real problem—speed vs. personalization at scale.

The biggest challenge with AI agents is knowing their limits. How does Kipps decide when to confidently act (CRM updates, bookings) versus stepping back and handing off to a human—especially in high-intent or sensitive conversations?

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@satyam_singh47 Thanks !

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Using this as a business user: setup is fast, inbox is uncluttered, and the AI replies are good enough to handle most routine customer messages without babysitting. The real value is missed-message elimination and automated follow-ups on WhatsApp, which directly impacts conversions. Feels built for revenue, not vanity automation.

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@akshit_jain11 Amazing !!

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What data does Kipps have access to, and are they safe?

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@busmark_w_nika There are 2 options:
1. On-Premise hosting: Premium option. Data hosted on your cloud and Kipps.AI runs as a logical layer.
2. Saas: Kipps self-hosting, we will manage data for you.

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Very cool - how can you customize Kipps to your requirements/tone/etc?

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@daniele_packard We have some pre-made templates with set requirements and tone. But you can also set the tone and requirement by using "Generate with AI" feature in portal

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how does Kipps AI manage conversation memory? If a customer returns after 2 weeks, does the agent remember the previous context?

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@lightninglx Yes, Context is preserved, and it's not dependent on time lapsed or delayed!

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The personalization part looks interesting. Most sales tools just blast generic templates, which is a huge turn-off. How does Kipps actually ensure the messages stay 'human' and don't feel like they were written by a bot?

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@valeriia_kuna Great question!

It's really important to set the tone/personalise the WhatsApp Agent message. We have created custom attributes per contact, which can be easily injected into the message.

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Congrats on the launch guys! This can be really useful with so many businesses on WhatsApp these days. Best of luck!

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WhatsApp operations often get blocked by onboarding, verification, and template approval/delivery quirks. What parts of that process does Kipps actively de-risk or simplify, and how do you help customers keep costs predictable as WhatsApp pricing/models change (especially around templates and outbound messaging)?
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Is any sort of personalisation there in the roadmap to converse based on how the customer responds 2. to direct the chats of customers which can potentially convert to humans to take it further. 3. if based on conversations with the user, the agent can help to suggest improvements for the business owners. Congratulations on the launch.
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#10
Willow on Windows
Write anywhere on your computer. By voice.
127
一句话介绍:Willow是一款AI语音输入工具,允许用户通过语音在电脑的任何应用(如Gmail、Slack)中快速、精准地撰写内容,并通过个性化学习匹配用户的写作风格,解决了日常沟通中打字效率低下、现有听写工具不够智能和个性化的痛点。
Windows Productivity Artificial Intelligence
AI语音输入 语音转文字 效率工具 个性化听写 跨平台应用 离线模式 多语言支持 写作助手 生产力软件 人机交互
用户评论摘要:用户普遍赞扬其节省时间、准确度高和个性化体验。主要问题与建议包括:询问是否支持文本扩展/模板功能、能否按应用调整风格、如何学习用户语气、浮动图标可否隐藏、隐私模式原理、是否支持按应用配置独立配置文件,以及非英语语言的个性化效果。
AI 锐评

Willow的野心并非简单做一个更快的语音转文字工具,而是试图成为首个具备“写作风格认知”的数字化身。其核心价值主张“个性化”直击现有工具(如传统听写软件、通用AI转录)的盲区:它们处理的是“语音到文本”的转换,而Willow旨在实现“思维到恰当文本”的映射。通过分析用户修正和上下文,它学习在不同场景(专业邮件、随意Slack消息)下采用不同风格,这本质上是将风格迁移(Style Transfer)技术从内容创作下沉到了日常沟通层面。

然而,其宣称的“真正个性化”面临双重考验。一是技术深度:仅通过用户编辑行为来学习写作风格,其效果上限和所需数据量存疑,尤其是在非英语语境下。二是隐私悖论:为实现深度个性化,必然需要持续分析用户文本数据,这与用户对隐私的担忧(评论中已提及)存在天然矛盾。尽管提供了“隐私模式”和“离线模式”作为选项,但这可能意味着在个性化程度上做出妥协。

从市场定位看,Willow巧妙地避开了与巨头内置听写功能的直接竞争,转而强调“风格适应”这一差异化优势,并凭借全平台覆盖和极低延迟构建体验壁垒。用户评论中“无法回到打字”的表述,证明了其在提升流暢度上的成功。但长期挑战在于,这种个性化能否形成足够深的护城河,以及是否会面临来自操作系统级或大型AI模型(它们同样可以学习用户数据)的降维打击。它目前更像一个极致的效率增强器,但其“学习型数字助理”的雏形,预示了人机交互从“听懂”到“懂你”的演进方向。

查看原始信息
Willow on Windows
You write hundreds of messages, emails, and prompts a day. Willow is an AI voice typing tool that lets you speak them instead. Willow now works on Windows, Mac, and iOS. You can use it anywhere on your computer, like Gmail, Slack, Notion, Cursor, and more. Willow is powerful because it's the fastest, most accurate, and the only dictation tool that actually personalizes to the way that you write over time.
Hey Product Hunt! We started Willow because so much of our day is communication. Thinking emails, Slack messages, prompts to AI, and more. It’s all moving ideas from your head to a screen. Your voice is 4x faster than your fingers. But using it has always meant fighting tools that don't understand how you actually write. Why existing tools fail: Dragon was built for dictating letters in 1997. Apple's built-in dictation breaks on anything complicated. And today's AI dictation tools just transcribe what you say, run it through generic AI cleanup, and hope for the best. None of them learn how you write. None of them know that your Slack messages should sound casual while your client emails need to be polished. What we built instead: 1) Speed: 200ms of latency. 5x faster than typing. 2x faster than other AI dictation tools. 2) Accuracy: Willow spells everything right, like technical terms, jargon, and names. 3) Personalization: This is the difference. Willow matches your style to your context. A text sounds like a text. An email sounds professional. A Slack message sounds like you. 4) Auto-dictionary: If you correct the spelling of a word, Willow remembers and saves it to your personal dictionary. 5) 100+ languages: You can switch languages mid-sentence and Willow follows. 6) Offline mode: Enable offline to dictate fully without any internet connection. 7) Works everywhere: Gmail, Slack, Notion, Cursor, ChatGPT, and everything. If you can type there, you can speak there. We launched on Mac first. Every day, users told us they couldn't go back to typing. Then we launched on iOS, and the same thing happened. Today, Windows joins the family. Willow now works everywhere you work. For Product Hunt: 30% off Pro with code PRODUCTHUNT30 Please ask the team any questions below 👇 — Written with Willow Voice
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@allan_guo Congrats! Does it have ability to save text expanders and templates like @Text Blaze?

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@allan_guo congrats on the launch. Can it adjust tone/style to different tools?

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does Willow analyze my previous sent items to learn my tone, or does it primarily rely on the active application window's context?

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@lightninglx Yep, exactly that! Willow learns based on your previous edits, what slight differences / word choices you make. Over time you should Willow sounding more and more like you :).

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I absolutely love this voice to text app. Great job Willow team. I’ve saved 9.3k minutes typing since I adopted it and Willow has allowed me accelerate all my engineering work across all the products I use (Email / Text / Slack / Cursor / Claude / Loveable)! The hot key makes life easy.

I also love the custom word dictionary (handy for tech products which names which I reference regularly). The rephrasing capabilities are great too. It cleans up my thoughts and clearly articulates / rephrases for clarity. Sort of like Grammarly, but I don’t have to go back and re-read or re-edit what I’ve typed so I can keep moving fast. Brilliant feature 🧠

I couldn’t live without Willow now. Customer for life. Take my money. 💰

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@rzap 9.3k minutes saved!!!!! Thank you for the support!

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It's a fantastic product. I've been using it for probably over six months now. It is accurate, simple to use, and probably saves me one to two hours a day. I use it on my desktop, my laptop, and my iPhone.

And now I can recommend this to friends using Windows as well. It's a great piece of software, and it's truly a pleasure to recommend it.

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@james_lim1 Thanks so much for the support, James! Really appreciate it

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Sick video, the device looks amazing.

Congrats on the launch guys!

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@thisiskp_ Thank you KP!

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Congrats on the launch and using it to type this message! Two quick things:

1. Is it possible to remove the floating icon that is always on screen? I wish that was not on screen all the time.

2. Can you explain privacy mode? Does it use a local model and if so which one?

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@ryan_snyder2 Hey!

1. You can move the floating icon by dragging it. If it's really annoying, you can go to Settings > Enable Notch View.

2. Privacy mode means completely zero data retention - audio, transcripts, and any sort of interactions! We do not use the offline model for that by default, that's a separate setting (Settings > Offline Mode).

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Congrats on the launch! I wanted to use something like that for a while to talk to my coding agents and always forget to actually get one. Do you support per-app profiles maybe (e.g., terminal vs IDE) so commands don’t leak across contexts?

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We're fans of Willow product at Awesomic and happy to see team constantly shipping new launches 🚀

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Hey Allan, that part about AI dictation tools just transcribing and hoping for the best is so true. Was there a moment where you dictated something, watched it get cleaned up into something that didn’t sound like you at all, and thought why do I have to fix this every single time?
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Offline mode and 100+ languages? That’s impressive! Switching languages mid-sentence is a common struggle for bilingual folks. Does the personalization work just as well for other languages like Ukrainian or Polish, or is the style matching currently best at English?

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@kostfast Style matching works across all languages. Multi-lingual support was one of our top priorities!

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#11
BIOS
AI Scientist for biomedical research - #1 on BixBench
119
一句话介绍:BIOS是一款在生物医学研究场景中,通过提供“人在回路”的检查点与全自动模式,解决传统AI研究代理批处理模式不灵活、试错成本高痛点的AI科学家平台。
Artificial Intelligence Science Data Science
AI科研助手 生物信息学 自动化数据分析 人在回路 文献综述 新颖性发现 学术工具 智能体协作 生物医学研究 BixBench榜首
用户评论摘要:用户反馈主要集中于:1. 询问与同类产品(如Scispace)的差异与方向;2. 肯定AI用于科学研究的价值;3. 深入探讨技术细节,如检查点干预后是局部更新还是全局重新规划。开发者积极回复,邀请体验并提供了技术文献链接。
AI 锐评

BIOS宣称在BixBench基准测试中排名第一,这为其技术能力提供了有力背书。但其真正的产品价值,或许不在于“全自动”,而在于其精心设计的“控制权滑块”。它没有陷入“AI取代科学家”的浮夸叙事,而是务实地区分了“全程操控”、“智能平衡”和“深度自主”三种模式,将AI定位为受控的增强智能。这精准命中了科研工作流的真实痛点:传统批处理AI如同一个黑箱,研究者投入大量计算资源和时间后,可能才发现方向偏差,挫败感与成本极高。BIOS提供的检查点机制,本质上是将科学研究的“可解释性”和“过程纠偏”能力产品化,让研究者能在关键决策点介入,这比单纯追求分析速度或自动化率更具革命性。

然而,其挑战同样明显。首先,“#1 on BixBench”是实验室环境的成绩,其向复杂、非标准化真实研究课题的泛化能力有待考验。其次,其核心由四个智能体分工协作,这种多智能体系统的稳定性和协调成本是隐藏的技术风险。最后,评论中用户将其与Scispace等产品类比,说明市场已存在认知相似的竞争者。BIOS的学术免费策略虽是高效的获客手段,但如何将早期学术用户转化为长期付费的产业客户,并构建足够深的护城河,是其商业化道路上的关键考题。它打开了一扇门,但门后的长廊能走多远,取决于其工程落地能力与对科研范式的深刻理解,而不仅仅是基准测试分数。

查看原始信息
BIOS
BIOS is an AI Scientist that ranked #1 on BixBench for biological data analysis. BIOS offers human-in-the-loop checkpoints to steer investigations mid-flight, or fully autonomous mode for uninterrupted deep research—you choose how much control to keep. Four specialized agents handle orchestration, literature review, data analysis, and novelty detection. Free tier available. Academic users withedu get full access free.
Hey Product Hunt! 👋 We're a small AI-for-Science lab, and today we're launching BIOS - an AI Scientist that just hit #1 on BixBench for biological data analysis. The core problem we're solving: existing AI research agents run in batch mode. You wait hours, get results, realize the AI didn't do as well as you hoped, and you rerun everything. For the comfort of all of our users - you can use 3 modes: steering for full control, autonomous for maximum depth or smart for a good balance between the two. We're offering free full access to academic users (.edu email) for a limited time—we want researchers actually using this. Would love your feedback. What research problems would you throw at it?
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@brka This product reminds me of @Scispace's BioMed Agent. Are you heading to similar direction?

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Using AI for scientific purposes is exactly what it was meant for, I think. Great launch, guys, congrats!

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When a human intervenes at a checkpoint, does BIOS perform a RAG-based update to its internal plan, or does it re-simulate the entire reasoning chain?

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@lightninglx Yes it updates its whole plan - you're welcome to try all the 3 modes with the free credits we give and you'll get a feeling of how it works! Also more details in the paper & blog we shared

https://ai.bio.xyz/blog/introducing-bios
https://arxiv.org/abs/2601.12542

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#12
HighlightGPT
Highlight in ChatGPT, ask GPT in a side panel
119
一句话介绍:一款Chrome浏览器扩展,允许用户在ChatGPT对话中高亮文本并在侧边面板进行AI追问、解释、翻译或保存,解决了在长对话中因复制粘贴追问而打断阅读流、丢失上下文的痛点。
Chrome Extensions Productivity Artificial Intelligence
Chrome扩展 AI工具 ChatGPT增强 生产力工具 文本高亮 侧边面板 阅读辅助 工作流优化 浏览器插件
用户评论摘要:用户肯定其解决了在ChatGPT中针对部分回复追问会打断阅读流的痛点。开发者回应了关于扩展稳定性的技术考量,并解释了与浏览器右键“询问ChatGPT”功能的核心区别在于其注解式交互能保持阅读位置。
AI 锐评

HighlightGPT的价值不在于技术突破,而在于对AI原生交互缺陷的一次精准“贴膏药”。它敏锐地捕捉到当前ChatGPT这类线性对话AI的核心矛盾:对话的连贯性与信息处理的模块化需求之间的冲突。用户面对冗长回复时,往往只想对某个片段进行深度操作,但传统交互要么破坏对话流,要么需开启新会话导致上下文割裂。

该产品将“高亮-侧边栏操作”这一经典阅读交互模式引入AI对话,其真正野心是试图将ChatGPT从一个“聊天机器人”重新定义为“阅读与思考工作区”。这戳中了AI应用从新奇玩具转向严肃生产力工具过程中的关键进化点——工作流的无缝集成。开发者对稳定性的考量(每日自动化脚本检查DOM选择器)也揭示了此类深度集成第三方工具面临的普遍困境:在AI产品UI快速迭代的背景下,如何平衡深度集成与维护成本。

然而,其天花板也显而易见。它本质上是为ChatGPT现有交互逻辑打补丁,而非重塑。一旦OpenAI官方在UI层原生支持类似“文本块注释”或“线程内追问”功能,此类扩展的价值将迅速衰减。它更像一个验证用户需求存在的“探针”,其长期生存取决于能否将这种“注解式交互”抽象为更通用的模式,适配更多AI平台。目前来看,它是一个优雅但脆弱的临时解决方案,完美诠释了在AI应用爆发初期,第三方开发者如何通过微创新捕捉巨头暂时忽略的用户体验缝隙。

查看原始信息
HighlightGPT
HighlightGPT is a Chrome extension that lets you highlight text inside ChatGPT and open a side panel to ask AI, explain, ask, translate, or save memorizes. It’s a small workflow upgrade that makes ChatGPT feel more like a reading & thinking workspace.
Hey Product Hunt 👋 I’m Zhong Xin, the maker of HighlightGPT. I built this because when I’m reading long ChatGPT conversations, I kept losing context by copying text out to ask follow-ups or rewrite parts. HighlightGPT lets you highlight text *inside ChatGPT* and open a side panel to explain, ask, translate, or save memorizes — without tab switching or copy-paste. Would love your feedback: 1) When using ChatGPT, do you often run into a word or a specific part of the response that you don’t fully understand, and wish you could get an explanation for just that part instead of regenerating the whole answer? 2) Do you wish ChatGPT could respond more like annotations or inline comments on an existing answer, rather than simply continuing the conversation below it? Happy to answer any questions — thanks for checking it out 🙏
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@xin_zhong This is a fantastic extension. I’ve run into this exact issue myself.

When I don’t grasp part of a GPT response, I highlight it and fire off a follow-up question. But the new reply buries the original answer, forcing me to scroll back up awkwardly.

Your tool elegantly fixes this simple yet frustrating gap that GPT overlooks.

Congrats on the launch!

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ChatGPT’s UI changes often and extensions can be fragile—what did you optimize for to keep the experience reliable over time, and what tradeoffs did you make between “deep integration” and “breakage risk”?
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@curiouskitty Thanks for the great question! To keep things stable, I built a daily automated script that runs checks on all the DOM selectors my extension relies on. It verifies whether they still exist or need updating whenever ChatGPT’s UI changes.

For the tradeoff, I leaned toward a “defensive design” approach: I prioritize using stable, semantic selectors over deeply integrated but fragile ones, so the extension stays functional even when the UI shifts.

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Hey this is interesting. Well done. Just curious, when you right click on highlighted text you can “ask ChatGPT” follow up questions. Why not do that instead?
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@sunbash The main difference is where and how the answer appears.
“Ask ChatGPT” puts the answer at the bottom of the conversation, which breaks your reading flow.

HighlightGPT keeps the explanation alongside the highlighted text, more like an annotation, so you can understand that part without losing your place.

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#13
Fluent
Agentic AI in Any Mac App. Now with Native RAG
116
一句话介绍:Fluent是一款集成于Mac系统的AI助手,通过本地RAG引擎和跨应用上下文感知,在写作、内容创作等场景中,解决了AI生成内容风格生硬、缺乏个人化与上下文连贯性的核心痛点。
Productivity Developer Tools Artificial Intelligence
AI助手 智能写作 个性化RAG Mac生产力工具 本地AI 跨应用上下文 风格模仿 自动化代理 知识管理 MCP集成
用户评论摘要:用户反馈积极,认可其丰富的功能和巧妙的UI设计,特别是跨应用上下文和风格模仿能力。主要问题集中在与Mac Shortcuts的集成可能性,以及对本地RAG引擎处理大规模个人知识库性能的关切。开发者回复解释了Shortcuts可通过MCP连接,并阐述了RAG的混合架构与优化设计。
AI 锐评

Fluent此次更新的核心卖点“Native RAG”与“MCP集成”,直指当前AI应用的两大软肋:记忆的碎片化与操作的孤岛化。它试图扮演的不是又一个聊天机器人,而是一个驻守在本地的、具备持续记忆和跨应用行动力的“数字副脑”。其宣称的“100%复刻写作风格”,本质上是将RAG从传统的知识检索,升维至风格与人格的建模与注入,这确实是对抗“AI流水线腔调”的一次有趣实践。

然而,其真正的挑战与价值同样在于此。首先,“风格复刻”的承诺极具诱惑,但效果深度严重依赖于用户提供的“记忆”素材的质量与数量,这可能导致极高的用户教育成本。其次,作为一款以“Agentic”和“自动化”为愿景的工具,其与系统级自动化(如Shortcuts)的生态融合度目前看来仍是短板,开发者“不原生支持”的回应略显保守,可能限制其作为智能中枢的潜力。最后,本地RAG处理大规模知识库的性能与精度,仍是需要持续验证的技术关卡。

总体而言,Fluent的野心清晰:它不愿只做文本生成器,而志在成为用户与数字世界交互的智能代理层。它的出现,反映了AI工具正从“单次问答”向“持续伴随、主动服务”范式演进的趋势。能否成功,取决于其技术深度、系统整合能力以及用户是否愿意为其构建并维护一个高质量的“数字自我”镜像。这条路前景广阔,但路途必然崎岖。

查看原始信息
Fluent
This time, Fluent is supercharged by MCP and a native RAG engine, and it's a real game-changer. Beyond its general purpose, RAG lets you replicate your writing style almost 100%. This launch is mostly about that: write like yourself, write like Jack London, write like the world's top marketers. And never be accused of AI slop. To put it simple – Fluent RAG is the cornerstone of generating instead of writing.

Hey people of Product Hunt 🧙‍♂️👋

AI is powerful, but it still falls apart when your context is scattered across apps, and it rarely sounds like you (or lands a joke). Fluent fixes that, and yes, it finally makes humor work 😂 Check the video if you want to see it in action.

What Fluent brings:

– Global context awareness: works in any app and combines context across apps + tabs.
– MCP: Claude Desktop-style workflows, but no subscription and no lock-in (your API keys, local models supported).
– Memory, native RAG engine: local, always-on “second brain” that matches writing style insanely well.
– Scheduled Actions: early, but turning actions into autonomous agents for Mac automation.
– History: local, encrypted, searchable.

Use the exclusive Product Hunt code for 25% off: LOVEPRODUCTHUNT.

I’d love to hear your feedback 💕

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Very inspired by Fluent’s rich features and clever UI. Expanding into memory makes total sense as an AI layer that sits above all your local apps. @importnil do you make use of Shortcuts? If so, why/why not? Do you think they’ll be relevant for Gemini-powered Siri?
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Hey @chrismessina 👋

Thanks for your feedback and questions!

Fluent currently doesn't support Shortcuts natively, but it's possible to connect them via external MCP integrations:

In the ideal world, I think Gemini-powered Siri is definitely going to be natural language driven, with persistent background memory and in some sense autonomous capabilities. However I don't expect new Siri relying on Shortcuts as the core engine at all :)

I personally don't use Shortcuts as I find them tedious to create, pretty limited in terms of app support, but who knows, maybe they will give them a refreshed design in the light of new AI features.

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How does the local RAG engine handle large personal knowledge bases?

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Hey @lightninglx

Thanks for the question! Fluent RAG is a hybrid architecture. It handles large data really fast and well. You can create infinite Memory groups, and put up to 1000 files inside each – this was made by design to encourage domain fragmentation.

Plus, there are certain optimizations made specifically for writing.

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#14
Invofox 2.0
Document AI for real-world workflows, not just demos
116
一句话介绍:Invofox 2.0 是一个专注于生产级文档解析的AI平台,通过结构化的实验工作流,帮助企业在处理混乱、非标准化的真实世界文档时,能可视化和验证解析准确率,从而可靠地将文档处理流程部署到实际业务中。
SaaS Developer Tools Artificial Intelligence
文档智能 生产级OCR 文档解析平台 企业自动化 准确率验证 结构化数据提取 工作流管理 人类介入循环 真实场景AI
用户评论摘要:官方评论阐述了产品从演示走向真实工作流的核心设计理念。用户主要询问API是否支持基于置信度的“人类介入循环”场景,官方回复指出其提供比单纯置信度更深入的字段级与交叉验证,并可通过webhook构建自动化工作流。
AI 锐评

Invofox 2.0的发布,与其说是一次功能升级,不如说是一次针对行业“演示幻象”的精准抨击和策略性定位。当前文档AI市场充斥着在洁净数据集上表现惊艳的“Demo产品”,一旦投入真实的混乱业务流(如模糊扫描件、非标发票),准确率便断崖式下跌。Invofox 2.0的聪明之处在于,它没有陷入“我们的模型更准”的军备竞赛,而是将卖点转向了“准确率的可度量、可解释与可管理”。

其核心推出的“结构化实验工作流”,本质上是将文档解析从黑盒模型输出,升级为一个可观测、可调试的工程系统。它允许团队在部署前就能在字段和文档级别看到准确率变化,并验证改进效果。这直击企业客户的核心焦虑:不确定性风险。企业采购AI并非追求实验室满分,而是需要可控的、可预期的投入产出比,以及明确的失败处理路径(如HITL,人类介入循环)。

从官方回复用户关于HITL的细节可以看出,其设计思路超越了简单的置信度阈值,转向了基于业务规则(如正则校验、字段逻辑校验)的验证体系,这更贴近真实业务的数据质量管控需求。然而,这也将挑战从单纯的算法能力,部分转移到了客户自身的流程梳理与规则定义能力上。平台级更新的定位显示了其野心,但能否成为企业自动化工作流的“基础设施”,取决于其面对极端复杂、长尾的文档类型时,这套方法论是否依然能高效运转,以及其生态集成的便利性。这是一步从“卖工具”到“卖工程方法”的高阶棋,但棋局才刚刚开始。

查看原始信息
Invofox 2.0
Invofox 2.0 is a platform-level update focused on production-grade document parsing. While most document AI tools look accurate in demos, they struggle with messy, real-world inputs. This launch highlights a structured experimentation workflow that makes field- and document-level accuracy visible before production, helping teams understand accuracy changes, validate improvements, and confidently deploy reliable document workflows.

We’re sharing this to show how experimentation works across the Invofox platform when teams take document extraction out of demos and into live workflows. Instead of optimizing for demo accuracy, this workflow connects mixed input handling, pipeline design, and field- and document-level accuracy measurement so teams can understand why accuracy changes and validate improvements on real documents.

This is the same workflow we use across POCs and live deployments, and it ties directly to our campaign around real-world document workflows: www.invofox.com/perfect-docs-guaranteed

Rather than making accuracy claims, we wanted to show the concrete process behind them. Happy to answer questions or go deeper on any part of this.

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回复

This is great, kudos to the team!

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This is awesome. Killer team, and congrats on the launch!

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@ross_geiger thank you!!

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Does the API provide webhooks for 'Human-in-the-loop' scenarios where the confidence score falls below a certain threshold?

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@lightninglx Invofox will give you validation at different levels but much more insightful than just a confidence score. You can configure strict validations per field (e.g. regex for strings) and cross validations between related fields (e.g. line items summing up to the total amount).

If you configure webhook responses your system will receive the structured output plus all failed validations and their sources. That will allow you to build the automation workflows needed for your business like HITL scenarios. Hope that answers your question 😉

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#15
LiquidFetch
Beautiful visual system fetch for macOS
113
一句话介绍:LiquidFetch是一款为macOS设计的可视化系统信息展示工具,通过美观的图形界面直观呈现设备配置,解决了极客和普通用户在命令行工具中查看系统信息时体验不友好、缺乏视觉吸引力的痛点。
User Experience
macOS工具 系统信息可视化 原生应用 硬件状态监控 开发者工具 系统美化 桌面工具 信息仪表盘
用户评论摘要:用户反馈主要集中于赞赏其视觉效果。一条有效评论询问了是否支持将数据导出为高清图片,开发者回复暂不支持,但建议通过截图实现。目前评论数量较少,缺乏深度功能反馈。
AI 锐评

LiquidFetch切入了一个看似微小却存在明确断层的市场:在追求极致美学的macOS生态与极客向命令行系统工具之间搭建桥梁。它的真正价值并非提供了前所未有的数据——`neofetch`等工具早已实现,而在于完成了信息的“消费升级”。它将冰冷、枯燥的文本参数转化为视觉设计驱动的界面,本质上是在售卖一种“数字身份装饰品”和“系统状态的情绪价值”。

然而,其当前形态也暴露了核心脆弱性。功能上严重依赖“可视化”这一单点创新,壁垒不高;作为信息展示工具,其数据静态、缺乏交互与深度分析能力,用户新鲜感过后留存堪忧。评论中关于“导出高清图片”的需求,恰恰揭示了用户潜在的使用场景——社交分享与个人文档美化,这或许是产品应深挖的社交货币属性与实用工作流切入点。

长远看,若仅定位于“更漂亮的fetch”,其天花板触手可及。它需要思考如何从“信息看板”进化成“信息枢纽”,例如集成实时性能监控、提供个性化组件、或与壁纸/主题动态结合,从“工具”转向“数字生活美学平台”。在macOS原生应用体验与视觉设计是其当前王牌,但唯有构建更深的场景粘性,才能避免沦为一次性的“付费截图”。

查看原始信息
LiquidFetch
LiquidFetch gives you a clean, visual overview of your Mac. Unlike tools like neofetch or fastfetch, LiquidFetch presents your setup info in a graphical interface. It's a 100% native macOS app.

Stunning! Congrats on the launch 🚀

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@jryankennedy Thanks!

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Does LiquidFetch allow exporting these stats as a high-res image

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@lightninglx Not yet. But you can make a screenshot

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#16
Silkwave
Chat, record & transcribe on-device in a single workspace
112
一句话介绍:Silkwave是一款macOS上的统一AI工作空间,通过自带密钥模式集成主流AI模型与本地录音转录功能,解决了用户在多平台、多订阅间切换的繁琐和数据隐私顾虑的痛点。
Productivity Meetings Artificial Intelligence
AI工作空间 自带密钥 本地转录 隐私安全 macOS应用 多模型聚合 音频处理 离线AI 生产力工具
用户评论摘要:用户反馈产品设计简洁,并提出了具体建议:1. 希望增加引导动画以改善新用户上手体验;2. 询问产品是否定位为笔记/头脑风暴中心,开发者确认此为方向并分享了路线图;3. 询问是否支持聊天记录全局搜索,开发者回复此为第二优先级功能。
AI 锐评

Silkwave精准切入了一个正在膨胀的市场裂缝:AI工具碎片化与数据安全焦虑。其核心价值并非技术突破,而在于“整合”与“掌控”两大主张。

产品聪明地采用了BYOK模式,这既降低了用户的使用门槛(无需为每个工具单独付费订阅),又巧妙地将成本与合规风险转移给了上游API提供商或本地计算,自身则轻装上阵,扮演中立管道的角色。其集成的本地录音与Apple Intelligence离线转录,是面对隐私敏感型用户的精准一击,尤其在涉及会议、访谈等敏感场景时,构成了区别于纯云端产品的关键壁垒。

然而,其挑战也同样明显。首先,作为集成平台,其体验深度严重依赖第三方模型的API稳定性和性能上限,自身难以形成技术护城河。其次,“统一工作空间”的愿景宏大,但当前版本更像是一个功能聚合器。从开发者回复看,其正试图向“笔记/头脑风暴中心”演进,这意味着它需要构建更强大的非结构化数据管理、关联和检索能力,这与其目前简单的聊天历史搜索需求之间存在着巨大的工程鸿沟。最后,其商业模式依赖用户已有的大模型API消费,自身盈利路径尚不清晰,可能陷入“为他人做嫁衣”的窘境。

总体而言,Silkwave是一款定位清晰、切入角度刁钻的效率工具。它在AI应用从探索走向日常工作的过渡期,为专业用户提供了一个兼顾效率与隐私的“控制台”。但其长期成功,取决于能否从“管道”进化出不可替代的、原生的工作流价值,否则极易被大模型厂商官方套件或更垂直的专业工具所挤压。

查看原始信息
Silkwave
Silkwave is a unified AI workspace for Mac. It brings major models into one chat interface using a Bring Your Own Key (BYOK) approach—connect OpenAI, Anthropic, Google, Nebius, or local Ollama. It features a powerful microphone and system audio recorder with near real-time transcription using on-device Apple Intelligence or OpenAI. It connects all your AI tools in one private app.
Hi Product Hunt! 👋 This is Silkwave — a macOS app that puts all your AI models in one place. The problem was simple: too many browser tabs, too many $20/month subscriptions, too much friction. So I built a single workspace where you bring your own keys and your data stays yours. Here's what it does: 🔑 Bring Your Own Keys (BYOK) Connect API keys for OpenAI, Anthropic, Google, and Nebius — pay only for what you use. Or run local models via Ollama, completely offline. 🎙️ Advanced Audio & Transcription Silkwave can record System Audio and your Microphone at the same time (Zoom, browser, whatever). • Offline: On-device Apple Intelligence — free, unlimited transcription. • Online: OpenAI's API for high-accuracy, multilingual transcription. 📹 Chat with Files True multimodal support. Drop in image, video, audio, or PDFs — ask questions, get summaries, pull out action items. 🔒 Privacy First Direct-to-client architecture. Your data goes from your Mac to the API provider (or never leaves your device). No servers in between. Would love to hear what you think — and what features you'd want next. Thanks for checking it out. 🚀
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@bakhshi_mnatsakanyan Congrats on the launch, the product looks clean. Sometimes a bit of motion in onboarding helps new users understand things faster, happy to help if you want to try something quickly this week.

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Congrats! Is the goal that it becomes your notes/brainstorm hub?

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@daniele_packard 

Thank you, Daniele!

Yes, that's definitely the direction! Here's my current roadmap:

  1. Auto-detect Zoom, Teams, Google Meet calls — my top priority right now

  2. Global search across chats and transcriptions

  3. Text notes — to make it a true brainstorm hub

I might adjust this roadmap based on user feedbacks though.

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Does Silkwave support 'System-wide search' for my chat history?

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@lightninglx 

Not yet — but it's the #2 priority on my roadmap! Thanks for asking, Xiang 🙌

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#17
Fundable
Integrate startup, investor and people data in your product
96
一句话介绍:Fundable是一款整合初创公司、投资人和人才数据的API及数据集产品,旨在通过更实时、可溯源且支持自然语言查询的数据服务,解决开发者和企业在构建投资分析、招聘监控等工具时面临的数据分散、滞后且成本高昂的痛点。
Sales Venture Capital Data
创业数据API 投融资数据库 实时交易信息 数据溯源 自然语言查询 开发者工具 替代Crunchbase 成本优势 初创企业服务
用户评论摘要:用户主要关注产品潜在的应用场景构建,并询问实时通知的技术实现方式(如Webhook支持)。团队回应目前仅支持REST轮询,但表达了根据实际用例增加Webhook的开放态度。
AI 锐评

Fundable的野心,在于用“更好的UI、更便宜的价格、更早的deal信息”这三板斧,精准劈向Crunchbase等老牌数据平台的软肋。其宣称的“为每个数据点提供来源”直击行业数据黑箱痛点,而自然语言告警功能则试图降低数据调用的技术门槛,这些都是聪明的差异化切入点。

然而,其真正的挑战并非功能列表,而是生态壁垒。数据产品的价值与数据的广度、深度、准确性和网络效应强相关。老牌平台积累的社区贡献、用户纠错和长期合作关系,构成了一道无形的护城河。Fundable以“更早”和“溯源”作为卖点,但“早”意味着需要构建独特且高效的抓取或接入管道,“溯源”则对数据清洗和治理能力提出极高要求。这两点都需要持续且巨大的投入才能建立可信度。

从评论区的技术问答来看,产品仍处于早期,连实时推送(Webhook)这样的现代API标配都尚未支持,这暴露了其基础设施的成熟度有待验证。团队“可以添加”的灵活态度固然可喜,但也暗示产品路线图可能由早期客户需求驱动,存在不确定性。

总体而言,Fundable在一个需求明确但壁垒深厚的市场中,选择了一个犀利的切入角度。它的成功与否,将不取决于它比Crunchbase“好多少”,而取决于它能否在数据质量这个生命线上建立起可持续且可验证的优势,并快速吸引开发者生态,形成自己的数据飞轮。否则,它可能只会沦为又一个“更便宜”的替代选项,而非行业规则的改变者。

查看原始信息
Fundable
Fundable is a startup, investor, and people dataset (like a Crunchbase) with a few improvements: Surfaces new deals before other platforms, provides sources for every datapoint, allows for natural language deal alerts ("coding agent startups in SF looking to hire"), much better UI, cheaper. First month is free. Hit us up if you want access to our API, Datafeed, or MCP!

Tons a cool products you can build with Fundable's data... any ideas?

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Do you support webhooks for real-time notifications, or is it strictly a REST-based polling system for now?

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@lightninglx Don't have webhooks yet but can definitely add them. Any use cases in mind?

0
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@lightninglx hey we are strictly REST based right now, we will let you know cadence that makes most sense with our deal flow

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#18
doXmind
An AI editor that reasons with you
82
一句话介绍:doXmind是一款将AI编程助手体验引入文档创作的智能编辑器,通过理解上下文、逐行审阅修改差异及引用知识库,解决了用户在写作过程中思维被打断、内容把控力弱的痛点。
Productivity Writing Artificial Intelligence
AI写作助手 智能文档编辑器 上下文感知 差异审阅 知识库引用 BYOK模式 写作流程优化 生产力工具 免费Beta
用户评论摘要:用户主要反馈集中在功能建议与商业模式询问。有效建议包括:增加实时网络研究功能以自动填充事实数据并注明来源。创始人确认该功能已在规划中。关于商业模式,团队明确核心产品将保持免费,采用用户自带AI服务商API密钥的模式。
AI 锐评

doXmind的核心理念——“写作界的Cursor”,精准地切中了一个正在兴起的需求:将AI从聊天机器人转变为深度嵌入工作流的协作伙伴。其真正的价值不在于“又一个AI写作工具”,而在于它试图将软件工程领域成熟的代码协作范式(如差异对比审阅、上下文感知)迁移至非结构化的文档创作领域,这有望解决当前AI写作工具“黑箱式”重写、作者掌控感丧失的根本性痛点。

产品设计的亮点在于“差异审阅系统”和“知识库引用”。前者将AI的修改可视化、原子化,把最终控制权交还给用户,这是对当前AI生成内容不可控性的一种优雅工程解决方案。后者则试图将AI的“幻觉”问题约束在用户提供的可信材料范围内,提升了专业写作的可靠性。

然而,其宣称的“核心免费”BYOK模式是一把双刃剑。它降低了用户的初次使用门槛和厂商的运营成本,但将模型能力、成本、延迟等核心体验的掌控权转移给了用户和第三方API提供商。这要求用户本身是AI服务的熟练使用者,无形中抬高了使用心智门槛。其未来可能的付费点(云同步、团队功能)并非不可替代的护城河。

当前最关键的挑战在于,其“理解上下文”的深度能否真正媲美Cursor对代码库的理解。文本的语境和逻辑远比代码复杂和模糊。从用户对“实时研究”功能的迫切需求来看,仅处理本地文档的“知识库”仍不够,下一代智能写作工具必须能主动、可信地连接外部知识。doXmind若能在保持当前编辑体验优势的基础上,攻克实时、精准的网络信息检索与引用难题,才能真正定义“AI辅助写作”的新范式,否则可能仅停留为一个体验优良的第三方AI客户端。

查看原始信息
doXmind
doXmind is "Cursor for Writing" — bringing AI-powered coding assistant UX to document creation. Free beta — no credit card required.

Congrats on launching! Just a thought, but a quick research feature might be helpful. Often times, especially in business documents, I find myself wanting to include some factoids. Like, "There are X million residential real estate transactions annually in the US". I know X is a big, impressive number, but don't exactly recall what it is and don't want to break my writing flow to go look it up. If the editor could autonomously find that out and fill it in, with a source, that would be awesome!

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@derekattonkotsu Love this idea! You're right — breaking flow to look up a stat is painful.

This is on our roadmap! Imagine typing "[X] million transactions" and having it auto-fill with the real number + source. Knowledge Base already cites your uploaded PDFs — next step is live web research.

Thanks for the feedback, super helpful for prioritization! 🙌

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I really like the idea. Now, how are you going to sell it?
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@rahijamil 
Great question! The plan is to keep doXmind free — users connect their own API keys from OpenAI, Anthropic, or Google.

This way:

  • You're not locked into our pricing or rate limits

  • You control your AI costs directly

  • We focus on building the best writing experience, not metering your usage

Think of doXmind as the interface layer — we handle the UX, diff reviews, knowledge base, and context management. You bring the AI.

Might add optional paid tiers later for extras like cloud sync or team features, but the core product stays free with BYOK. 🙌

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Hey PH! 👋 I built doXmind because I wanted the "Cursor experience" for writing — an AI that doesn't just chat beside your doc, but actually reads it, understands context, and makes edits you can review line-by-line. Key things I'm proud of: - The diff review system (borrowed from code editors) — no more "AI rewrote my whole paragraph" - Knowledge Base lets you drop in research PDFs and have AI actually cite them - Works great on mobile with swipe gestures Currently in free beta — would love your feedback on what features to prioritize next! 🙏
0
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#19
Fytly
You Said You’d Work Out. So What Happened?
43
一句话介绍:Fytly是一款将AI个性化健身计划与游戏化机制结合的应用,通过生成任务、保持连续记录和升级排名,在用户健身动力不足、难以坚持常规训练的日常场景中,解决其因枯燥感而放弃锻炼的核心痛点。
iOS Health & Fitness Artificial Intelligence
健身应用 AI健身教练 游戏化健身 习惯养成 个性化训练 健康科技 行为激励 移动应用
用户评论摘要:创始人分享产品源于个人伤病后动力丧失的痛点,强调其游戏化与自适应AI的核心。其他用户祝贺并好奇市场反响与营销策略,目前未出现实质性负面反馈或功能性质疑。
AI 锐评

Fytly的亮相,精准地刺向了传统健身应用最柔软的腹部:反人性的枯燥感。其宣称的“游戏化AI教练”概念,看似是“健身环”与“习惯打卡”的移动端混合体,但真正的刀刃在于“基于实际行为调整计划”的AI自适应逻辑。这试图将健身从预设的标准化课程,扭转为动态的个人行为响应系统,是其在同质化市场中理论上的破局点。

然而,其价值与风险皆系于“AI”一词的实际成色。所谓“调整计划”是简单的强度微调,还是能理解用户疲劳、生活压力乃至心理波动的深度干预?在beta阶段,这大概率仍是一个黑箱或有限规则引擎。其游戏化设计——连续记录、任务、排名——是经过验证的短期动机钩子,但极易陷入“为打卡而打卡”的数据空心化陷阱,一旦新鲜感褪去,用户可能面临游戏机制倦怠与健身本质痛苦的双重打击。

创始人坦诚源于“伤病后动力崩溃”的经历,这揭示了产品更深层的野心:它瞄准的或许并非自律的健身爱好者,而是庞大且反复挣扎的“意愿-行动”断层人群。其84天重置周期也暗示了它贩卖的是一种“结构化重生”的希望。若其AI真能在此过程中,像一位敏锐的教练般接纳用户的“脱落”并将其转化为计划的一部分,而非像传统应用那样视为失败,则可能触及行为改变的深层密码。但目前来看,它更像一个包装精美的动机启动器,其长期留存与真正的效果,取决于AI内核能否从“记录反应的算法”进化成“理解人性的伙伴”。在健身应用这片红海,游戏化是糖衣,AI是尚未被完全验证的药效,Fytly能否成为良药,还需看其后续迭代的“临床数据”。

查看原始信息
Fytly
You want a fit and healthy life, but most fitness apps are boring? We turned training and healthy habits into a video game, so it never feels boring again. FytlY’s AI builds your plan, then updates your workouts and habits based on what you actually do. No more “I don’t feel like it today” because streaks, ranks, and quests make you want to work out every day. Join the beta test and tell us what sucks.

Hi Product Hunt 👋

I’m Mika, and I built Fytly after a shoulder injury took me out of my normal routine.

Like most people, I downloaded a bunch of fitness apps. After a setback, my motivation dropped hard, and none of them helped me rebuild the habit.

So we asked: what if fitness felt like a game you actually want to keep playing?

FytlY is a gamified AI fitness coach.
It generates your training plan, adjusts it based on what you actually do, and turns your habits into quests, streaks, and progression. The core loop is an 84-day reset designed to get you consistent without overthinking.

It’s part coach.
Part habit system.
Part “this is the last game for today” (but you end up playing another one) .

We’re in beta right now, so I’m here for the brutal feedback :)

19
回复

Hi Mika, congrats on the launch! 🚀🎉

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Hey Mika @mika_234 ,

Congrats on launching Fytly! I love the gamified approach to fitness it seems like a fun way to stay motivated.

Just curious, how's the response been so far? Any marketing 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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#20
Product Design Trends 2026
Design trends from teams fixing broken brands
35
一句话介绍:这是一份基于2025年真实设计项目复盘撰写的《2026产品设计趋势报告》,旨在为面临同质化与AI冲击的设计师和团队提供源于实战、尊重人性不完美的设计方向洞察,解决他们在追求效率时可能丧失设计人文价值与品牌独特性的痛点。
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设计趋势报告 产品设计 设计洞察 行业分析 AI与设计 实战复盘 设计方法论 品牌重塑 SaaS Web3
用户评论摘要:用户普遍赞扬报告基于真实设计经验、强调人性化与不完美设计的价值。有效评论集中于两点:一是询问哪些趋势最难落地(团队认为AI的平衡最难把握),二是询问报告的市场推广策略。评论整体肯定其与肤浅“趋势清单”的区别。
AI 锐评

这份报告最犀利的价值,并非在于预测了“什么会流行”,而在于其立场的彻底反转:它是一份来自“修复者”而非“预言家”的战后总结。在AI工具承诺“一键完美”的当下,它旗帜鲜明地指出,真正的设计趋势恰恰诞生于“迭代、错误和艰难的权衡”之中,其核心论点是“设计是人的、不完美的、强大的”。

报告试图解决的深层行业痛点是“意义的虚无”。当设计可以无限趋近于技术性完美时,其品牌差异与人性温度反而被稀释。它批判的是对“高效答案”的盲目追逐,提倡的是与“现实、用户和市场接触后幸存”的设计思维。这实际上是对设计行业主体性的一次捍卫——将设计师从AI“执行者”重新定位为拥有失败权利的“决策者”。

然而,其挑战同样明显。首先,其“反速成”的哲学与市场对“即用型”趋势清单的渴求存在根本矛盾,可能叫好不叫座。其次,报告自身作为“提炼后的成果”,如何避免成为另一种被盲目引用的“权威”,是对其内容深度的考验。最后,它指出AI应用需平衡,但“如何平衡”仍是悬而未决的实践难题。总体而言,这是一份有价值的“清醒剂”,但其影响力的真正试金石,在于能否促使团队在高压现实中,为“不完美”的设计决策争取空间与时间。

查看原始信息
Product Design Trends 2026
This report is created by Qream designers who spent 2025 designing, breaking, fixing, and relaunching products across tech, SaaS, Web3, social impact, and enterprise. This report has a mission: to remind that design is human, imperfect, and powerful, especially when everything around tries to make it generic. Let your eye travel. There’s no second take on 2026!

Hi PH community 🌝

Julia, Head of Creative Partnerships at Qream.

Today we’re dropping Design Trend Report 2026. Our designers put a lot of work and we are excited we can share this one with you!

REACH REPORT HERE: https://theqream.com/blog/post/web-motion-product-design-trends-2026?ref=producthunt

2025 promised speed and easy answers through AI. It looked tempting, but it was fake. Design is human, not perfect and not polished to death ☠️

This report is different because:

  • It’s based on first-hand work with 100+ clients across tech, SaaS, Web3, social impact, and enterprise

  • Every insight comes from real iterations, launches, and failures

  • It focuses on what survives contact with reality, users and markets

  • No “top 10 colors” 😁

  • Shows where AI helps and where it kills human value

  • Combines motion, interaction, and product design trends at scale

It’s a synthesis of decisions, iterations, mistakes, and hard trade-offs made in real products.

Did we miss a trend or do you see 2026 going in a different direction?

Let's put some Qream on TOP!

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Wow, great launch. Congratulations!

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@dmytro_chervonyi thank you! With every launch it is becoming a bit nervous...

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Looks great! Congrats on the launch! 🚀

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Very insightful and strong report! Which of these trends do you think will be hardest for real teams to implement well, and why?
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@kostix thank you for your attention to our report
everything around AI - it is a very tricky balance, and this compensation will be see to people, if not instantly, then later - so better to look for a real character in each brand. hope you get my pov 😊

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Finally - a trends report built on real designer insights!!

Who’s actually brave enough to ship perfectly imperfect designs in 2026?🙂

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Hey Julia @julia_vlasova2 ,

Congrats on launching the Product Design Trends 2026 report! It’s great to see a design trend report built on real designer insights and iteration. The approach of balancing human creativity with AI tools is refreshing.

I’m curious, how’s the response been so far? What kind of marketing strategies are you focusing on to promote the report and reach your target audience? Would love to hear more about how you're planning to get the word out!

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