Product Hunt 每日热榜 2026-01-05

PH热榜 | 2026-01-05

#1
PostSyncer
AI Content Maker, for Social Media Publishing
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一句话介绍:PostSyncer是一款面向创作者、营销团队和机构的AI社交内容管理平台,通过整合10+平台的发布、AI内容生成(集成Sora、Veo等模型)及统一收件箱回复功能,在一个工作区内解决了多工具切换、效率低下、创意分散的痛点。
Social Media Marketing Artificial Intelligence
社交媒体管理 AI内容生成 多平台发布 内容日历 统一收件箱 创作者工具 营销自动化 SaaS 团队协作 UGC
用户评论摘要:用户普遍祝贺并认可产品,认为其是日常必备工作流,尤其赞赏其拖拽式内容日历、AI功能及全平台自动发布带来的显著流量效果。有效问题集中于:1. 对集成Sora 2/Veo 3等高阶AI模型的信用额度/使用上限表示好奇;2. 询问单次可支持账户数量;3. 建议增加Reddit平台支持。
AI 锐评

PostSyncer的亮相,远不止是又一个Hootsuite或Buffer的复刻。其真正的锋芒在于两点:一是创始人Tibo凭借成功打造并出售Tweet Hunter、Taplio等工具的经验背书,精准切入了一个看似饱和但实则“工具泛滥”的市场痛点——创作者被迫在多个标签页间疲于奔命。PostSyncer试图成为那个终极的“社交总部”,野心不小。

二是其产品定位巧妙地踩在了两个风口交汇处:社交管理的“一体化”与AI内容生成的“高阶化”。集成Sora、Veo等顶尖视频生成模型,而非仅仅包装文本LLM,这将其与大量同质化工具区隔开来,直接瞄准了对视觉内容质量有高要求的专业创作者和机构。然而,这也埋下了其最大的风险与挑战:成本控制与用户体验的平衡。用户已敏锐地追问AI生成的信用额度问题,这背后是高昂的算力成本如何转嫁给用户而不引起反感的商业难题。若处理不当,最炫酷的功能可能成为最昂贵的摆设。

此外,其“不限团队成员”的定价策略是一把双刃剑,在吸引团队和机构客户的同时,也对产品的协作颗粒度、权限管理和客户(Workspace)隔离能力提出了极高要求。目前评论中洋溢的赞美多来自早期支持者和生态伙伴,产品在更广泛、更苛刻的公众市场中,能否真正兑现“一致性、速度与互动”的承诺,并解决多平台API稳定性、回复智能性等脏活累活,才是其从“受欢迎的新玩具”蜕变为“不可或缺的基础设施”的关键。它的赛道正确,开局亮眼,但真正的硬仗才刚刚开始。

查看原始信息
PostSyncer
The most powerful tool to manage all your social accounts at scale. Create, schedule, and reply across 10+ platforms. Get inspiration from the viral content library, generate media with AI (Sora, Veo & more), connect unlimited accounts and manage clients in dedicated workspaces.

👋 Hey Product Hunters, thanks for checking my launch ❤️

A few years ago, I built and sold tools like Tweet Hunter and Taplio.

But even after working on tools that helped thousands of creators grow, I kept running into the same issue - managing content and conversations across multiple social platforms is still painful.

Problem: creators and social teams today juggle 5–10 tools just to stay consistent.


Generating content, scheduling, replying, collaborating - all happen in separate tabs.
It’s messy, slow, and honestly kills creativity.

Solution: we built PostSyncer.com - an all-in-one social HQ.

A tool where you create, schedule, publish and reply to comments from every platform, all in one place.

You can now:
- Connect 10+ platforms and publish from one dashboard
- Generate authentic content with 100+ UGC avatars
- Create videos and images using AI models like Sora 2, Veo 3, and more
- Get inspired by a 3M+ trend library & see what’s actually going viral
- Reply to comments across platforms in one unified inbox
- Add unlimited teammates (no per-user fees)
- Use separate workspaces for every brand, and every client

Already trusted by 23,000+ creators building and managing their audience every day.

💰 Pricing

- Starter → $19 / month - for up to 10 accounts
- Pro → $49 / month - for advanced AI features

Both plans include a 7-day free trial to get started.

This isn’t just another content scheduler.

It’s built for creators, agencies, and teams that understood being social is the new way to market your product. want consistency, speed and engagement - without tool-sprawl.

I would absolutely love to know what you think of the tool. You can start on PostSyncer.com, I will read all feedback, comments and will do my best to keep improving it 🙏

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@thibaultll Congratulations on a fantastic product! This tool is incredibly effective and has become an essential part of my daily online workflow

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@thibaultll  Congratulations 👌🔥

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@thibaultll you guys building some cool products. Congrats on this one!

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Congratulations on your launch! I have been using this tool since the beginning, and it keeps adding useful features. The drag-and-drop content scheduler is my favorite! 💜

The AI features and reply tool are super helpful, but the auto-post to all platforms is pure gold. I got 3M views and 5k clicks from Pinterest in 2025 without even engaging on the platform. All I did was schedule my content on PostSyncer and add Pinterest!

I highly suggest this to all creators. You don't want to miss out on this tool!

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@zeng absolutely love reading your feedback, thanks a lot Zeng 🙏

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@zeng wow, thank you so much for this 🙌

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Congrats on the launch 🚀

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@alohe thanks a lot 🙏

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upvoted I like this app soo much

congrats on the launch @heyabdulmejid @thibaultll @ayushgarg01

Good Luck👍

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Love reading this so much, thanks 🙏

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Sora 2 and Veo 3 integration? That is some serious heavy lifting on the backend. 🤯 Most tools are just wrapping basic text LLMs. I'm curious about the credit system for these high-compute models—does the Pro plan have a hard cap on video generation minutes per month?

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I see that you have built an army of free tools, which is good for SEO :)

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@fabian_maume yeah this is my way 😅

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Congrats Tibo! Good stuff!
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@nikuscs thanks

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Let's go guys! Great execution with a great product 👏

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@robhallam thanks a ton Rob 🙏

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Finally can release my marketing intern from heavy load of sm posts.... how many accounts does PostSyncer support at one time?

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Congrats Tibo! Super cool :)

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@shlomo_genchin1 thanks a lot Shlomo 🙏

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I am really amazed to see all your work, Tibo, and amazing to see you ship this with Abdul. Congratulations to both of you and good luck on the launch!

Let's gooo 🚀🚀🚀

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@romaindewolff so cool to have you support it, thanks Romain 🙏

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Congrats Tibo!

Just missing Reddit :)

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@linklogician hard to add but maybe

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As always, amazing work, buddy!

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@michal_kankowski Thanks Mike 🙌

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Everything Tibo touches turns to gold!! PostSyncer to the 🌑🚀

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@maximehugodupre hope so 🤞

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Congrats on your launch Tibo, it's nice to see killing it 💪

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@rrmdpm thanks a for always being here 🙏

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Congratulations on the launch 🎉 🎉

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@shubham_pratap thanks a ton 🙌

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Nice! I’d love to add this useful tool to my daily workflow. Congrats on the launch! @thibaultll @ayushgarg01 @heyabdulmejid

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I have used PostSyncer for sometime now. It has helped my team manage their calendar efficiently!

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@ahaanpandit so cool to read, thanks

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Good luck with the launch my friend!

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@tomjacquesson thanks a lot for helping 🙏

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Congratulations 🎉 Much needed considering the dominance of social media and their fragmented nature. You can't rely on one single platform to tap the audience.
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100% thanks for the comment

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how on earth u built an everything platform like that to handle our social growth, tibo ☺️

happy new year, mate 🫰🧧

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@tonyfiston haha, I partner with incredible people 😅

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thanks for stopping by 🙌

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Congrats on the launch! Amazing product, all support for its growth :)

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@urja_kohli Thanks a lot 🙏

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Congratulations on the launch, Tibo 👊 This is well needed product for full time creators.
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@matejbendik thanks for supporting it 🙏

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Congratulations on the launch! Such an amazing product!

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@eugzolotarenko thanks a lot Eugene 🙏

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I have been using postsyncer since Day 1. Abdul has been amazing - supporting me throughout , debugging, helping me to setup the API for my jobboard.

Use the product daily, and its improving on a weekly basis. Its an essential tool of all my businesses now. highly recommedn it .

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@vadimk77 so cool to read, thanks for trusting us

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Congrats.. looks like amazing product .. all the best 🔥🔥
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@thibaultll is the Pro Plus plan at an introductory price that will go up or is it a fixed price if you sign up today?
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Wow, this application is off the chart..  I love the added touch with the AI, creating video and viral post…. Good job,
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Congrats on the launch! This really feels like a natural evolution, especially bringing publishing and replies into one workspace. I’m curious how creators usually balance planning content ahead of time while still staying reactive to comments and trends.

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#2
MiroMiro
Copy any website's design & assets in one click
368
一句话介绍:MiroMiro是一款Chrome扩展,通过悬停即可一键复制网站CSS、颜色、字体等设计资产,解决了设计师和开发者在手动审查元素、提取设计细节时流程繁琐、效率低下的核心痛点。
Design Tools Productivity Developer Tools
设计工具 Chrome扩展 前端开发 设计资产提取 CSS提取 颜色提取 设计令牌 Tailwind配置 效率工具 网页克隆
用户评论摘要:用户普遍赞赏其简化设计提取流程、提升效率的核心价值,特别认可一键下载图片/SVG/Lottie动画、提取调色板及导出Tailwind配置等功能。主要建议围绕如何进一步集成至日常工作流,并期待更稳定、干净的Tailwind导出。部分非前端开发者认为该工具极大降低了他们的使用门槛。
AI 锐评

MiroMiro瞄准了一个看似微小却异常顽固的痛点:在欣赏与模仿之间那令人疲惫的“手工劳动”。它本质上并非技术突破,而是对现有能力(DevTools)的一次精明的用户体验重构和场景化封装。其真正价值不在于“能”提取,而在于将专业、离散的操作,转化为直观、连贯的“悬停-点击”动作,大幅降低了设计资产回收的认知负荷和操作成本。

产品定位巧妙:它既是设计师的“灵感采集器”,也是开发者的“效率加速器”,更是非前端人员的“能力平权工具”。从评论看,其“资产提取”和“设计令牌导出”功能获得了超出预期的共鸣,这揭示了更深层的需求——现代开发流程中,对“设计系统”的快速理解和迁移能力。将零散的CSS值转化为结构化的Tailwind配置或CSS变量,这一步使其从“复制工具”升维为“桥梁工具”,连接了视觉设计与代码实现。

然而,其面临的挑战也同样清晰。首先,工具价值的深度依赖于提取的“保真度”与“可用性”。评论中提及的“保持Tailwind导出干净一致”是关键,若输出的是臃肿或需大量清理的代码,其效率优势将大打折扣。其次,作为浏览器扩展,其能力边界受制于网页复杂性和技术限制(如重度依赖JavaScript渲染的站点),这可能导致体验不一致。最后,其商业模式和长期发展路径有待观察。当前解决的是“提取”问题,但用户最终需要的是“应用”。如何从“复制”走向更智能的“适配”与“集成”,或许是它未来需要思考的方向。

总体而言,MiroMiro是一款精准的“止痛药”型产品。它没有创造新需求,而是用一种更优雅的方式满足了广泛存在的旧需求,这在工具类产品中往往是最务实、也最容易获得初期成功的路径。它的未来,取决于能否在“准确、可靠、易用”这个工具铁三角上做到极致,并在此基础上,构建更深层次的工作流整合能力。

查看原始信息
MiroMiro
The fastest way to copy any website's design. MiroMiro is a Chrome extension that lets you inspect and extract design assets from any website without opening DevTools. Hover over any element to instantly copy its CSS, colors, fonts, and spacing. Download images, SVGs, and even Lottie animations with one click. Extract design tokens and export them as Tailwind config or CSS variables. Built for designers and developers who want to stop rebuilding from scratch and start shipping faster.
Hey everyone! 👋 I built MiroMiro because I was tired of the same frustrating workflow: see a design I like, open DevTools, dig through nested elements, copy values one by one, repeat 100 times. DevTools is powerful, but it's not built for quick design extraction. So I made MiroMiro, hover over any element, copy its CSS instantly. One click to download images, SVGs, or even Lottie animations. Extract an entire site's color palette and export it straight to Tailwind or CSS variables. It's the tool I wished existed when I started building websites. Would love your feedback on: - Which features would make you use this daily? - What's missing that would make this a no-brainer for your workflow?
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@soraiadev Congratulations Soraia!!! lets freaking get to the top 🚀🔥 Recognize me from X? 😉
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@soraiadev I love color palatte and image extraction features~ congratulations on the launch 🎉

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@soraiadev Happy New Year! I installed the plugin and will try using it in my testing work, as I sometimes check styles and look for bugs. Thanks!

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Hey @soraiadev I've tried myself and I'm really impressed.

The inspector is really cool, it's super useful, and the feature that I love the most is the assets fetching. It's very normal to me to browse websites and want to retrieve some images for figma mockups, and MiroMiro makes this super easy, I just go to the assets tab, search the one I want, and download it!

Hope you're really successful with this, it's a great tool!

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As a backend developer that doesn't like frontend much, MiroMiro is an amazing tool to extract designs fast

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This is such a real problem. Digging through DevTools for small style details gets tiring fast. Hover and copy sounds way more natural. Just curious how often you use this in a normal workday?

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Hey @soraiadev, great launch and good luck with a product!

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@nicklaunches Thank you a lot for the support :D

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great job!

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@mike4747 Thank you a lot :D

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This is great for non frontend devs.

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@malithmcrdev Thank you a lot, glad you like it :D

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This is super handy hover-to-copy without DevTools is a real workflow boost. If the Tailwind exports stay clean and consistent, I can se this becoming a daily tool.

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@julian__ray Thank you a lot Julian, I'm always improving MiroMiro, if you have any feature suggestion I would love to hear it :D

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DevTools works but it's a pain for quick design extraction.

This fixes that. Clean product. Congrats on the launch.

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@testyourideaapp Thank you a lot Vincent, super happy you like MiroMiro :D

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As someone who's building my first app, I use MiroMiro a lot to design &/ sketch how I want it to look like. It's fast and easy to-use, my fav feature is color palettes extraction that can be done within a few clicks!!

I use this a lot to set the tone of my website, before using MiroMiro I used to take screenshot manually and use ink picker to get the hex codes bcs using devtools can be slow & confusing. Soraia is also very open to feedback so MiroMiro keeps getting better and improving super fast

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Yeahh! It's super cool Soraia. I've spent many years taking the best of different websites and now you're making it so easy. Hope many founders can see the same. All the best here!

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@german_merlo1 Thank you so much Germán, hopefully more founders see the same as you do :)

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Good idea, fire crawl API into an easy to use extension

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@akiko_hayami I'm not using Firecrawl but its also an amazing product to scrap websites

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Congrats.. very cool product 🔥🔥
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Wow, this is a very cool application. Very nice job. Well, put together, you hit this one out of the park.
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I am surprised by the function of "steal the motion magic", it was a real problem for me, especially when I see some motion icons very interesting.

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#3
NativeBridge
Automate mobile testing on real devices with AI
287
一句话介绍:NativeBridge是一款AI驱动的移动应用真机测试平台,通过一键链接即时访问真实iOS和Android设备,解决了移动开发团队因设备碎片化、测试流程繁琐且脱离真实用户场景而导致的测试效率低下和信心不足的痛点。
SaaS Artificial Intelligence No-Code
移动应用测试 真机测试 AI测试自动化 测试协作平台 DevOps QA工具 性能监控 崩溃报告 开发者工具 软件即服务(SaaS)
用户评论摘要:用户普遍认可产品在简化真机测试流程、缩短反馈周期和降低测试门槛方面的价值。主要问题集中于技术架构(是否裸机)、与竞品(如BrowserStack)的差异化、大规模测试套件的扩展性,以及是否支持批量测试和详细报告。建议包括关注安全审查和明确目标用户群体。
AI 锐评

NativeBridge的亮相,直指移动测试领域一个长期存在的“皇帝的新衣”问题:在模拟器和脚本的“温室”中进行的测试,与用户手中千变万化的真实设备环境严重脱节。其宣称的“Magic Link”和“AI生成测试”固然是吸引眼球的亮点,但产品的真正颠覆性在于试图重构测试工作流的协作范式。

它不仅仅是一个设备云。其核心价值是创建了一个以“应用版本”为中心、所有利益相关者(开发、QA、产品、设计)可实时协作的“单一事实来源”。这类似于Figma对设计协作的改造,旨在终结通过截图、录屏和零散聊天传递上下文的低效时代。AI生成测试脚本的功能,实质上是降低自动化测试的编写和维护成本,让测试能跟上敏捷开发的节奏,而非替代人类探索性测试。

然而,其面临的挑战同样尖锐。首先,在已存在BrowserStack等巨头的红海市场中,“真机+AI”的差异化是否足够坚固?竞品同样在快速迭代。其次,将测试流程高度集中在一个专有平台上,可能带来新的供应商锁定风险。最后,对于高度复杂的金融或游戏应用,其性能监控的深度和定制性能否满足专业QA团队的苛刻需求,仍有待验证。

总体而言,NativeBridge是一次有价值的切入,它正确识别了“协作断层”这一深层痛点,而非仅仅提供设备资源。它的成功与否,将取决于其能否在确保测试可靠性的基础上,真正成为团队开发流程中不可或缺的“协作中枢”,而不仅仅是另一个测试工具。

查看原始信息
NativeBridge
Instant access to real iOS and Android devices with one Magic Link. Run AI-powered tests using Maestro, capture crashes, and share rich bug reports. Turn mobile testing into a superpower.

👋 Hey Product Hunt! Sahil here, founder of NativeBridge.


For the past 14 months, we’ve been building NativeBridge around a simple belief: mobile testing should reflect how users actually experience apps.


This matters now more than ever. Mobile apps today run on thousands of device variants, unstable networks, and performance-sensitive hardware - yet testing workflows are still slow, script-heavy, and disconnected from real-world usage. As teams ship faster and apps get more complex, this gap is only getting wider.

NativeBridge is our attempt to close that gap:

  • Start testing on real Android & iOS devices in seconds, without setup or infra headaches 📱

  • Manually test and collaborate as if you’re holding the phone without passing devices, screenshots, or long feedback loops 🚀

  • Describe a flow in plain English and let AI generate automated tests in Maestro and Appium 🤖

  • Catch real-device performance issues early including crashes, slow screens, FPS drops, CPU & battery problems 💨

  • Share a single Magic Link for every app version bringing builds, tests, and feedback all in one place ✨

This launch represents 14 months of iteration, hard infra work, and countless conversations with developers and QA teams. Today, we’re excited to finally put it in front of the community and learn from your feedback.

If you build or ship mobile apps, we’d love to hear how your team approaches testing today and where the pain really is. We’ll be here all day answering questions and learning from you.

- Sahil

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@sahil_choudhary22 This is a really useful product for mobile app developers. Too often, teams focus heavily on the web side while mobile testing remains under-invested and hard to get right.

App testing has a steep learning curve it takes significant time just to learn the basics, and that barrier often slows down both development and hiring early on. NativeBridge does a good job of reducing that friction and saving developers time by making real-device testing accessible and practical.

I’ll be doing a quick security-focused review as well and will share any observations if there’s anything worth discussing or improving.

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@sahil_choudhary22 My question is on the backend: are these bare metal devices or are you virtualizing on top of real hardware to handle the concurrency?

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@sahil_choudhary22 Mobile testing is usually slow and frustrating, so this approach feels refreshing. Love the focus on real user behavior and fast feedback. Excited to see how teams adopt this in real workflows.

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Hey everyone! 👋 Want to introduce you to NativeBridge! А faster way to test mobile apps on real iOS & Android devices. With one Magic Link, you can run AI-powered tests using Maestro, capture crashes, and share rich bug reports in minutes, not days.
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@byalexai Love NativeBridge!

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@byalexai I knew that this tool would have you as a Hunter when I saw that high comment count! :D

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@byalexai Looks like a great tool to make testing faster and more efficient! Congrats on the launch!

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Hey Product Hunt! 👋

Manisha here. I work on solutions and growth at NativeBridge, and spend most of my time listening to teams building and shipping mobile apps.

What I hear most often isn’t about missing features, it’s about friction. Waiting for devices to free up, second-guessing test results, and stitching together screenshots or recordings just to explain a bug. Right before release, many teams end up asking: are we confident enough to ship this?

NativeBridge is built to reduce that friction. Real devices available instantly, automation that’s easier to work with, clear performance signals, and one Magic Link that keeps everyone aligned. The goal is simple: make mobile testing feel calmer, clearer, and closer to how users actually experience the app.

If you’re shipping mobile apps, what usually causes the most stress right before a release? I’ll be here all day and happy to chat.

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Hey Product Hunt! 👋
Himanshu here, founding engineer at NativeBridge.

The past 14 months have been quite a ride. Alongside @sahil_choudhary22 and my teammates @anushka_bhandari and @bhavish_mayyar , we have been obsessing over one thing making mobile testing feel effortless.


If you have ever waited forever for a device to free up, juggled screenshots and screen recordings just to file a bug, or spent more time writing test scripts than actually testing yeah, we have been there too 😅 That's exactly why we built NativeBridge.

What I'm most excited about with this launch: real Android and iOS devices ready in seconds 📱, Magic Links that get your whole team on the same page ✨, and AI that turns plain English into working automated tests. No setup drama, no context-switching, no more "it worked on my device" conversations.

We have learned a ton from early chats with dev and QA teams, and today we are excited to hear from this community.

What's the biggest pain point in your mobile testing workflow? We're around all day would love to hear what's frustrating you 🙌

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Hey Product Hunt 👋

I’m Anushka, software engineer at NativeBridge.

At NativeBridge, we’re focused on making mobile testing feel closer to real usage. Teams can start testing on real Android and iOS devices in seconds, collaborate on builds through a single Magic Link, and use automation that’s easier to create and maintain.
A big part of our focus has been making sure NativeBridge feels intuitive and dependable, even when there’s a lot happening under the hood. If it feels simple to use, that’s very intentional. 🙂

If you’re building or shipping mobile apps, I’d love for you to try NativeBridge and share what works for you and what doesn’t. We’re here to learn and improve.

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Congrats @sahil_choudhary22 on the launch! Looks impressive.

Curious to know what's different from existing market leaders like BrowserStack?

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@sachinjain024 Thanks! BrowserStack does a great job at device access. We’re focused on what happens around testing - combining real devices, AI-driven testing, and collaboration into one shared workflow. The Magic Link is a big part of that: one place where everyone sees the same app, on the same device, with the same context. We often describe it as Figma for mobile testing, which hasn’t really existed before.

While BrowserStack primarily serves QA teams, NativeBridge plugs in much earlier in the lifecycle - starting at development (via our VSCode/Cursor extension) and continuing through QA, reviews, and feedback, all in one flow (and one link).

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This is a genuinely valuable product for mobile app developers. Too often, teams put most of their effort into the web side, while mobile testing remains underfunded and difficult to execute properly. App testing comes with a steep learning curve ,just getting started can take a lot of time ,and this often slows down both development and early hiring. NativeBridge does a great job of lowering that barrier, reducing friction, and saving developers time by making real-device testing more accessible and practical.
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@arunanshu_arya Really appreciate your feedback and support!!

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*im not from the industry
What sets your product apart from the competition?

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@michael_vavilov Great question. In simple terms, we optimize for real-world app behavior, not just test results.

NativeBridge lets teams instantly use real devices, optionally let AI handle repetitive testing, and importantly - work off one shared link per app where all versions live. That link becomes a single source of truth for QAs, developers, designers, CX, and managers, instead of juggling files, screenshots, and tools.

It removes friction across the entire testing workflow, not just one step of it.

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How well does this scale for larger test suites?

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@nuseir_yassin1 Good question Nas! Larger suites usually mean a mix of parallel runs on real & emulated devices.

NativeBridge supports that model and we’re actively expanding concurrency and orchestration as teams grow!

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Great idea! I’ve seen a similar service before for testing across different browsers for web — it took screenshots of individual pages. You went further, and that’s really cool.

Can you run tests in batches? For example, my QA provides a group of 50 test cases, you execute all of them on selected devices, record the results on video, and send a report? That would be a really awesome feature.

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@mykyta_semenov_ Yes, you can run tests in batches (even through CI/CD) on selected devices. After every test execution, NativeBridge generates a detailed report including video recording of the execution and other parameters like CPU usage, FPS etc.

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This looks really thoughtfully built, especially the focus on real-device testing. What kind of teams are you seeing adopt it first?

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@ayushkumar1610 Thanks! So far we’re seeing the most pull from mobile-first teams like fintech, consumer apps, and startups with frequent releases - where real-device behavior and fast feedback really matter.

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Hey @Product Hunt 👋

I take care of Marketing at NativeBridge, and today honestly feels unreal.

This launch is the result of 14 months of building, breaking, rethinking, and rebuilding, driven by a small team that showed up every single day, even when things didn’t work the first (or fifth) time.

We built NativeBridge because we kept seeing solid mobile apps fail for avoidable reasons: testing in perfect conditions while real users live in messy, unpredictable ones. Our goal was simple: make mobile testing feel closer to real life and less painful for teams.

Today isn’t just about shipping a product.
It’s about sharing what we’ve built, learning from this community, and getting honest feedback.

If you check us out, I’d genuinely love to hear:

  • What excites you

  • What feels unclear

  • What we should improve next

Huge respect to the Product Hunt community for supporting builders ❤️
Happy to answer anything in the comments!


- Shrey, Marketing @NativeBridge 🚀

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This product will definitely shorten feedback loops between QA and dev team. Great work 🙌🏻
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@priyankamandal Glad you liked the product Priyanka!

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Congrats on shipping! The focus on real-world mobile behavior really stands out compared to typical emulator-heavy tools.

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@zerotox Thanks for the support Abhishek!

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I like the Magic Link idea, removing context switching alone could save teams hours every week. Good stuff.

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@roopreddy Thanks a lot for the support Roop! Really appreciate it!

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This looks genuinely useful for teams shipping fast. Real devices plus AI testing feels like the right direction. Congrats on the launch!

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@syed_shayanur_rahman Thanks! Really appreciate the support.

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Curious how this fits into existing CI/CD pipelines for mobile teams..

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@radhika_nadhani Hi Radhika, we have added support for direct CI/CD integration. Here's an example repo we've created to explain how it works: https://github.com/AutoFlowLabs/nativebridge-test-app

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This is super interesting — especially the Magic Link flow. What was the biggest friction point you heard from teams that pushed you to build NativeBridge?

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@sandeep_m_s Thanks! The biggest friction we kept hearing (and felt ourselves) was all the back-and-forth - sharing APKs, screenshots, devices, and still losing context across teams. Magic Link came from wanting one shared place where everyone looks at the same app, on the same device, with the same context.

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Congrats on the launch team! Excited to check this out!
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@stevenbirchall Thanks, Steven! We’re giving everyone 1 month free to explore the platform and see how it fits their workflow.

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Cool! Is it indeed real devices plugged in somewhere on Earth, or smart virtualization?

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@nikitaeverywhere yes, its actual devices plugged into our servers being streamed to you with minimal latency! 🙌

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Congrats with the launch!
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@je_suis_yaroslav Thanks for the support Yaroslav!

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Very nice!

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@sneas Glad you liked it Dimah!

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Interesting indeed. How teams balance AI-generated tests with manual testing using NativeBridge though??

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@himani_sah1 Good question. Most teams use manual testing for discovery and edge cases, and AI-generated tests for repeatable flows. NativeBridge lets them switch between the two without changing tools or workflows.

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Really interesting approach to mobile dev workflows.

I haven’t had a chance to dive in yet, but quick question,

does this support GPS and location spoofing for testing geo features ?

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@dineshj28 
Yes we do support GPS and location spoofing across all device types Android emulators, real Android phones, iOS simulators, and real iOS devices. So you can test location-based features easily, no matter which device you are using.

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The support for Maestro and Appium is a good strategic choice. This means that via Webview automation, we can test and measure not just Native apps but hybrid apps like ionic/cordova too.

You guys really do more than you claim. Kudos to the team for pulling this off 👏🏼

Curious to know more about the analytics Native Bridge provides on the performance side of things and your plans for the future.

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@gokulsundar Thanks a lot — really appreciate you noticing that nuance 🙏

On the performance side, NativeBridge focuses on surfacing the signals teams actually need to act on while tests run on real devices. Today that includes things like FPS drops, CPU and memory usage, battery drain, crashes, and network behavior, all captured in the context of a specific flow rather than just raw logs.

Looking ahead, we’re investing in making this more trend- and regression-aware - so teams can see how performance changes across app versions, devices, and releases, not just within a single run. The goal is to move from “here’s what happened” to “here’s what changed and why it matters,” without adding noise.

Happy to go deeper on any specific metric or use case you have in mind.

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Congrats on the launch!
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@mssulthan Appreciate the support!

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How is NativeBridge different from other solutions?
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@danagoston NativeBridge goes beyond device access by focusing on the entire testing workflow. It brings real devices, AI-driven testing, and team collaboration into one shared experience.


With a single Magic Link, everyone sees the same app on the same device think Figma for mobile testing. Unlike QA-only tools, NativeBridge starts at development and flows through QA and feedback, all in one place.

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Congratulations on the launch 🎉 🎉 🎉

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@shubham_pratap Thanks Shubham! Really appreciate the support!

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Instant device access via a Magic Link is a strong abstraction, especially for teams that don’t want to manage device farms or flaky simulators. The focus on real devices + shareable bug reports is compelling!

A few questions from an engineering and team-workflow perspective:

  • How do you think about reliability and isolation when multiple users access shared real devices?

  • How deep is the Maestro integration (CI hooks, parallel runs, artifact retention)?

  • Any plans for API access or integrations with issue trackers (Jira, Linear, GitHub)?

  • How are we adopting AI-Driven test automation here?

This could meaningfully reduce friction in mobile QA if it scales predictably.

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@manesh_jhawar Great questions Manesh, I’ll try to answer these concisely and from an engineering / workflow lens.

Reliability & isolation:
Magic Links don’t mean shared state. Each session is isolated at the device/session level with scheduling and cleanup in between runs, so users never step on each other’s context. Real devices are reserved per session, not multiplexed, which keeps behavior predictable.

Maestro integration:
Today we support generating and executing Maestro flows reliably on real devices, with logs and artifacts retained per run. CI hooks and parallel execution are actively being rolled out, the goal is for teams to treat NativeBridge as a drop-in execution layer for existing pipelines, not a silo.

APIs & integrations:
Yes, we already have direct integration support with JIRA and Slack. And have created examples for how you can integrate NativeBridge into your CI/CD workflow.

AI-driven automation:
AI is used to convert plain-English flows into executable test automation and to reason about app state during execution. The intent is to reduce scripting and maintenance overhead, not replace deterministic test execution - humans still control what gets tested, AI helps with how.

Totally agree with your last point - predictability and scale are the bar. We’ve been deliberately slow on expansion to make sure the core workflow behaves reliably before pushing breadth. Happy to go deeper on any of these.

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Awesome tool for testing. Does it send crash reports on mail?

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@chilarai Yes! You can connect it with your slack as well!
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#4
Drylendar
Track drinks to create a motivating calendar day after day!
204
一句话介绍:一款通过简洁的日历视图和社交功能,无压力追踪饮酒习惯,帮助用户实现戒酒、减酒或完成“一月戒酒”等目标的习惯追踪应用。
Health & Fitness Calendar Alcohol
健康科技 习惯追踪 戒酒助手 心理健康 社交 accountability 日历可视化 无罪恶感设计 订阅制 多语言支持 Product Hunt 新品
用户评论摘要:用户普遍赞赏其简洁设计、无评判理念及创新的社交功能。主要建议/问题包括:对隐私控制的关切(希望分享 streak 但隐藏细节)、期待更丰富的正向反馈(如轮换的鼓励信息),以及如何平衡提醒功能避免打扰。
AI 锐评

Drylendar 的聪明之处在于,它精准地切入了一个被“道德压力”笼罩的细分市场——饮酒习惯管理。它没有将自己包装成一款严肃的戒酒治疗工具,而是巧妙地采用了“习惯追踪器”的轻量级定位,核心价值是“可视化”与“去罪恶感”。其日历可视化将抽象的自控力转化为具象的 streak 数字和干净格点,满足了用户对“秩序感”和“成就感”的根本需求。

然而,其宣称的“社交功能”是一把双刃剑,也是产品最大的风险与机遇并存点。评论中关于隐私的担忧直指要害:在如此敏感的行为数据上添加社交,用户需要极其精细的权限控制。目前看,其社交模式更接近“GitHub 贡献图”式的浅层互动,这虽降低了社交压力,但也可能削弱其宣称的“accountability”(问责)效果。真正的“社交 accountability”需要更深度的互动与支持体系,这并非一个简洁的日历应用所能轻易承载。

本质上,Drylendar 是“量化自我”潮流在饮酒领域的应用。它成功地将健康管理游戏化、去敏感化,但其长期价值取决于它能否从一款美观的“自我记录工具”,进化成一个能提供真正行为改变洞察或有效社会支持的平台。否则,它可能面临用户新鲜感过后,因功能单薄而流失的风险。其 Premium 计划的功能(如去广告、每日提醒)也略显常规,需挖掘更具诱惑力的核心价值来支撑订阅。

查看原始信息
Drylendar
Drylendar is the most friendly alcohol tracker on the App Store. It has been designed to be very simple to use to produce an understandable calendar you can share with your friends. As much features are free to use, you can subscribe to a Premium Plan to get the best of the app (no ads, daily reminders, verified badge…)

Hey Product Hunt!

So excited to finally share Drylendar with you all! This app is actually a complete rebirth of an earlier project I built — redesigned from the ground up with a fresh look, smoother experience, and a focus on what really matters: helping you be more mindful about your drinking habits without any judgment or guilt.

Whether you're going fully sober, doing Dry January, or just want to cut back, Drylendar makes tracking effortless with:

  • beautiful calendar view

  • streak counting

  • social feature to add friends and follow each other's journey

  • fun celebrations when you hit milestones.

Available in 6 languages (English, Spanish, German, French, Italian, & Russian) and ready for you to try — I'd love to hear your feedback! 🏜️✨

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@frboulais very cool product. good luck with the launch

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@frboulais Love the idea of making drinking habits visible without judgment. The social aspect is interesting too — accountability usually makes a big difference. Curious to see how people use this long-term

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@frboulais Your visuals and logo are so cute! The idea is funny and useful! Congrats on your launch!

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I'm a fan of @Sunnyside and have been using it for a few months, but I really like the simplicity and clarity of @frboulais's @Drylendar.

Sunnyside provides a lot of social support through a global community of folks seeking to reduce their alcohol consumption, whereas Drylender is more like GitHub stats for your own self-tracked progress.

I'm gunna give it a try for a Dryish January — want to join me?

If so — here're some monthly codes:

MT6XN7F4FXFR

YXYJW6HJMP94

NTXFYE3NXAAL

WPRHAL93TXKH

MJXPPJLP7PY6

Comment below with the code you used!

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Great effort and idea behind that. Tho I do not drink at all, I am pretty sure that many find it helpful! :) (and motivational)

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@busmark_w_nika Thank you Nika, it has already been helpful for me so I guess it can be for other users!! Have a great day 😀

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This is so neat!
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The social aspect is a unique twist. Most sobriety apps are very solitary/private experiences. I love the idea of accountability, but privacy is key here. 🔒 Can I choose to share my streak with friends while keeping the specific details (like notes or types of drinks) private to myself?

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No-alcohol world will be much better.

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Love the product, easy to use with great experience. Tracking drinks will never be the same

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Love the simplicity and gamified calendar, making alcohol tracking social is a clever approach. Curious how you balance reminders without overwhelming users
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Great app! I love the precision of the design and the animations. Well done! 🚀

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@julienlacr0ix Thank you for your support every day Julien! 😍

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I love the design! So much playful! Congrats 🚀

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@jegnux Thank you Jérôme! Hope you'll like it :)
Please add me as friend in the app : https://drylendar.com/frboulais

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Congrats.. that’s one unique product you have 🔥🔥
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Nice product. If you don't mind me asking, what lead you to build this? I am asking as the idea is so unique.

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The friend feature is a nice touch. Quiet accountability without pressure can be really motivating.

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Haha, this app is really cute 😄
It’d be awesome if you could add some positive feedback for drinking less — like fun emojis or short messages — and rotate them daily so it always feels fresh.

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#5
Opttab
Manage your presence in AI search
185
一句话介绍:Opttab是一款AI可见性与生成引擎优化平台,帮助品牌在ChatGPT、Gemini等AI搜索引擎中追踪、优化并控制自身内容的呈现,解决企业在AI优先搜索时代面临的可发现性与品牌形象管理痛点。
Growth Hacking SEO Artificial Intelligence
AI可见性分析 生成引擎优化 AI搜索监控 品牌AI形象管理 AI内容控制 多语言追踪 AI数据集检测 数字资产变现 SEO工具替代 AI时代营销
用户评论摘要:用户肯定产品是“LLM时代的Semrush”,关注其核心价值(IP控制、可见性评分)。主要问题聚焦技术实现:非确定性AI输出下如何稳定计算可见性分数;Opt-Out功能是通过robots.txt还是更底层的机制实现;如何同时优化多个AI模型。
AI 锐评

Opttab敏锐地抓住了从“链接检索”到“答案生成”的搜索范式迁移痛点,但其宣称的“控制”可能比展示的更为有限。产品本质是AI搜索时代的舆情监控与有限干预工具,其核心价值在于“可视化”——将黑盒化的AI内容引用首次变为可量化的仪表盘。然而,所谓“控制”主要通过robots.txt及倡议性的API协议实现,在AI公司数据抓取策略前实际约束力存疑,更像是一种合规声明而非技术屏障。

真正的犀利之处在于其商业模式设计:将“防御性”的IP保护需求,与“进攻性”的AI资产货币化捆绑,巧妙地将企业的焦虑转化为付费点。但其GEO评分的科学性与普适性面临根本性质疑——大语言模型的非确定性输出与持续迭代,使得任何“排名”都极不稳定,其“优化建议”的长期有效性可能远低于传统SEO。

产品可视为一个重要的市场信号:品牌方开始要求对AI生成内容中的自身形象拥有话语权。然而,在AI训练数据权利边界模糊的当下,Opmtab更像是一个过渡性解决方案。它测量的是浪潮的方向,但能否真正为品牌筑起堤坝,取决于其能否从“监测方”演变为被AI平台广泛认可的“协议执行方”。否则,它可能只是记录了企业在AI洪流中的能见度起伏,却无法提供真正的舵柄。

查看原始信息
Opttab
Opttab is an all-in-one AI visibility and GEO (Generative Engine Optimization) platform designed to help brands, individuals, and businesses measure, control, and grow their presence across AI-powered search engines and LLMs such as ChatGPT, Gemini, Claude, Perplexity and other AI models. Unlike traditional SEO tools, Opttab focuses on how AI models discover, interpret, rank, and reuse your content—giving you full transparency and control over your AI-facing digital footprint.
👋 Hey Product Hunt! Super excited to finally launch Opttab here 🚀 Opttab is an AI Visibility, AI Search Analytics & Generative Engine Optimization (GEO) platform that helps brands, creators, and teams understand, improve, and control how they appear inside AI answers like ChatGPT, Gemini, Claude, Perplexity and more. In simple terms: If someone asks an AI “What’s the best product, service etc?” — 👉 Do you show up? 👉 How are you described? 👉 Why (or why not)? Opttab helps you track that visibility, improve it with data-backed insights, and even control how AI models access your content. What makes Opttab different? AI Visibility & Ranking Tracking – See where and how your brand appears in AI-generated answers GEO Score & Optimization Insights – Clear actions to rank higher in AI search results AI Sentiment & Context Analysis – Understand tone, positioning, and authority in AI responses AI Detectors – Check whether your content exists in AI datasets Opt-In / Opt-Out AI Access Control – Decide which AI models can use your content AXP Site (AI-Optimized Web Experience) – A machine-readable, AI-friendly version of your site AI Asset Monetization – Turn AI usage of your content into revenue Multilingual Tracking – Monitor AI visibility across multiple languages APIs & Free Tools – Built for teams, agencies, and developers Why we built this Search is shifting from links to answers. We built Opttab to help you stay discoverable, accurate, and in control in this new AI-first search era. We’d genuinely love your feedback, questions, and feature requests 🙌 Happy to walk you through a live demo or help you test Opttab on your own brand. Thanks for checking us out — and excited to hear what you think! 🎉
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This feels like the 'Semrush for the LLM era' we've been waiting for. The shift from SEO to GEO is undeniable. One technical curiosity: Since LLM outputs are non-deterministic (the answers change slightly every time), how does Opttab calculate a stable 'Visibility Score'? Do you run the same prompt multiple times and average the presence to get a baseline?

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@liusally4 Hi Sally, thanks for your curiosity. We have a hybrid approach to the visibility score. We understand brand, products with all direct indirect names and aliases as an initial point. On single prompt level, we use the direct AI model APIs to get responses ourselves (this is what you asked) and API services (AI visibility scrapers) for query fanouts that generates/stores real time responses from AI models and keep them historically. We combine the data coming from both our system and AI scrapers to define the visibility score to give more independent and realistic visibility score.
Hope this answers your question. Feel free to reach out to more platform related questions.

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Finally, some control over the black box of AI training data. 🕹️ The ability to 'Opt-Out' is a power move for IP protection. Regarding the implementation: Does Opttab manage this by dynamically updating my robots.txt based on the latest bot user-agents, or do you have a more direct blocking mechanism at the CDN/firewall level?

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@yoang_loo Howdy Yoang! Thanks for your interest in Opttab. Our Opt-out works in multi-layer format focusing on both soft blocking AI bots with txt files (robots.txt, ai.txt and llms.txt files) and integrating with AI models through MCP API where AI models are able to consume the assets that are opted-out or opted-in to manage them correctly on their training models.
Reach me out at arda@opttab.com so I can give you more details about asset management, smart opt-out, IP infringement and asset monetization features on Opttab.

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Love how Opttab focuses on AI-specific search instead of traditional SEO, a smart approach for the future of digital visibility. Curious how you help brands onboard and optimize for multiple AI models at once?
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@ajarat_abodunrin Hi Ajarat, Opttab is ntegrated all major AI models and seamlessly integrated all those models on the platform for visibility tracking, GEO, website traffic and content generation.

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Congrats on the launch! This feels very timely, especially with AI answers replacing traditional search results so quickly. How brands typically use Opttab insights to decide what content to update first when they see gaps in AI visibility.

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Looks very promising, thanks for building this tool.

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#6
Invoce.ai
Chat with AI to create invoices in seconds
159
一句话介绍:Invoce.ai 是一款通过自然语言对话生成发票的AI工具,帮助自由职业者和小企业主在几秒内快速创建发票,解决了传统发票工具臃肿、操作繁琐、耗时过长的痛点。
Productivity SaaS Artificial Intelligence
AI发票生成 智能对话式应用 自由职业者工具 中小企业效率软件 轻量化SaaS 无订阅制 一次性付费 流程自动化 用户体验优化
用户评论摘要:用户普遍赞赏其“对话代替填表”的轻量化理念,认为体验更自然。有用户强烈共鸣,指出现有平台创建发票耗时过长。开发者积极回应,已添加用户指南并承诺持续迭代。核心反馈是希望该思路能被主流平台采纳。
AI 锐评

Invoce.ai 看似切入了一个微小的“发票生成”场景,但其真正价值在于对传统SaaS工具“功能膨胀”病的精准反击。它没有选择在功能丰富度上与Invoice Ninja、FreshBooks等成熟产品竞争,而是用“对话即界面”的极简哲学,重新定义了工具效率的衡量标准——不是“能做什么”,而是“多快多省心地把核心事做完”。

产品标语中的“avoid bloated tools”直指要害:大量中小型用户并非需要全能财务系统,他们核心诉求仅是合法合规、快速发出账单并收到款项。现有工具复杂的学习成本与冗余设置,对于单次任务而言是巨大的体验负债。Invoce.ai 将AI定位为“枯燥设置工作的处理者”,实则完成了从“用户适配工具”到“工具理解用户”的范式转换。用户用描述工作的自然语言而非填写结构化字段,这降低了认知负荷,将创造性的工作描述与格式化的票据生成无缝衔接。

然而,其面临的挑战同样清晰。首先,“对话生成”的体验优势能否从简单的发票扩展到复杂场景(如多项目明细、国际税务条款、周期性账单)?其次,其“一次性付费”的商业模式在支撑持续的AI调用成本与产品迭代上是否可持续?长远看,它可能成为被大平台收购的“功能补丁”,正如一条评论所期盼的;但若能以此次产品为起点,构建一套以自然语言为交互核心的轻量级商业文档生成矩阵,或许能开辟一个更独特的利基市场。此次发布的核心在于验证用户对“祛魅”专业工具的渴望程度,这比早期投票数更具风向标意义。

查看原始信息
Invoce.ai
Invoce.ai helps freelancers and small businesses avoid bloated invoice tools by letting them simply chat with AI and create invoices in seconds, without extra setup or clutter.

Hey Product Hunt 👋
I’m Atmiya, Frontend Design Engineer. I built Invoce.ai because invoicing always felt harder than it should be. Every tool I tried was bloated, slow, and full of features I didn’t need just to send a simple invoice.

The idea was simple: instead of filling forms, you should be able to chat with AI, describe the work you did, and get an invoice instantly.

What I focused on while building Invoce:
- Save time above everything else
- Remove bloat and unnecessary steps
- Make invoicing feel lightweight and fast
- Let AI handle the boring setup work

This launch is still early and mainly about learning. I’d love to hear how you handle invoicing today, what frustrates you, and what you wish was simpler.

Thanks for checking it out and supporting indie makers.

Use coupon for 50% off: LAUNCH50 (No subscription. One-time payment only)

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@atmiya Kudos on launching Invoce.ai! Focusing on removing unnecessary steps is exactly the kind of product thinking that turns small tools into indispensable daily helpers.

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Congrats on the launch! I really like the idea of turning invoicing into a simple conversation instead of a form-filling exercise, that feels much more natural.

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Hope someone from bug online-doc platforms acquire you and I finally will stop spending a solid 30 min on each inv creation 😭😭😭

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@pasha_tseluyko Hey Pavel. Just added "User Guide" page to the app. Hope it helps. Will add more information as and when feedback is implemented.

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super awesome!

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@jaironlanda Thanks man.

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#7
Dashly
Turn your new tab into a dashboard.
139
一句话介绍:Dashly是一款将浏览器新标签页转变为个性化生产力仪表盘的扩展,通过模块化组件帮助用户在一个无干扰的界面集中管理待办、笔记、市场信息等,解决了多工具切换和信息过载的效率痛点。
Productivity News Edge Extensions
生产力工具 浏览器扩展 仪表盘 本地加密 无云端存储 模块化组件 隐私安全 自定义布局 新标签页管理 效率提升
用户评论摘要:用户普遍赞赏其界面简洁、本地化及隐私保护设计,并认可模块化拖拽的灵活性。主要问题集中在浏览器兼容性(目前主要支持Edge/Brave),部分用户无法使用。有用户建议开放Widget API以构建生态,开发者回应技术层面已具备可能性。
AI 锐评

Dashly切入了一个经典但常被忽视的场景——浏览器新标签页。这片“数字入口”长期被搜索引擎或杂乱书签占据,而Dashly将其重塑为高度可定制的生产力中枢。其真正的价值不在于功能堆砌,而在于两个关键选择:一是“无云端、全本地”的架构,这在数据泄露频发的时代精准命中了隐私敏感型生产力用户的信任痛点;二是彻底的模块化与拖拽设计,将布局自主权完全交还用户,使其能贴合瞬息万变的工作流,而非强迫用户适应固定范式。

然而,其“价值”亦是其“枷锁”。纯本地架构虽安全,却牺牲了跨设备同步这一现代工作流的核心需求,可能将其用户群局限于单设备深度使用者。此外,当前依赖官方提供的有限Widget(如待办、RSS、图表),功能天花板明显。尽管开发者暗示基于React的技术开放性,但若无低门槛的第三方Widget生态或集成平台(如连接Notion、Google Calendar),它很容易停留为一个“精美的玩具”,而非不可替代的“工作枢纽”。

从评论中的兼容性质疑可见,其发布策略略显仓促,限制了初期用户增长。Dashly的构想颇具锋芒,但若想从“小众精品”进阶为“生产力基础设施”,它必须在保持隐私核心的同时,在“生态开放”与“跨平台体验”上做出更激进的选择。否则,它可能只是又一个让效率爱好者短暂兴奋,却难以形成持久依赖的优雅解决方案。

查看原始信息
Dashly
Dashly is a personalized productivity dashboard that cuts out the fluff. * Encrypted todos & notes * Market charts * RSS feeds * Pomodoro timer * Bookmark shortcuts * World clock * Daily inspirational quote * Customizable search categories with bulk search * Local export & import functionality * Theming support * No cloud, no data sharing Everything is widget-based and fully draggable, allowing users to arrange the dashboard exactly to their preference.

Clean idea new tab is prime real estate and this keeps it focused, not noisy. Local-only + no data sharing is a big trust win for productivity folks.

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Love the widget-based approach! Being able to fully drag and arrange the dashboard to fit a specific workflow is key for focus. Quick question: Are there plans to open up a widget API for developers to build their own custom integrations? This could easily become the ultimate browser home base!

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@yahaha66 Thank you. I believe not really, ultimately it's a React based library so in one way that API is available for developers already. :)

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What about Chrome??

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@pasha_tseluyko I believe it should work too when you browse with Chrome the Edge extension store but haven't found it the time to test it yet. :)

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It looks great, but I couldn't use it because it's incompatible with my browser :(

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@samet_sezer Which browser are you using?

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Congrats on launch. Is it compatible for Microsoft Edge only?

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@bekjon_ibragimov I use it in Brave as well. :)

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#8
Bookmark Assistant
Sync Chrome bookmarks to Notion with rich metadata.
128
一句话介绍:一款将Chrome书签一键同步至Notion并自动补充丰富元数据的浏览器扩展,解决了用户在跨平台知识管理中手动整理、信息割裂的痛点。
Chrome Extensions Productivity Notion
浏览器扩展 生产力工具 书签管理 Notion集成 数据同步 知识管理 自动化 元数据 Chrome插件
用户评论摘要:用户普遍认可其自动化同步与丰富元数据带来的便利。主要问题集中于:同步方向(是否双向)、对大量书签的处理能力、浏览器兼容性(如Firefox)以及Notion中画廊视图的具体组织方式。
AI 锐评

Bookmark Assistant精准切入了一个细分但真实的痛点:浏览器书签与主流知识管理工具Notion之间的数据孤岛。其宣称的“生产就绪”与“元数据丰富”是核心卖点,试图将杂乱无章的URL列表转化为结构化的、可检索的知识库。

然而,其价值深度面临几重拷问。首先,产品定位介于“轻量同步工具”与“深度知识处理引擎”之间。自动提取描述和图标固然方便,但这仅是信息整理的浅层自动化,距离真正的“知识消化”和“内容重构”尚有距离。它解决了“搬得好看”的问题,但未触及“为何而搬”的本质。用户评论中关于双向同步和大量数据处理的疑问,恰恰暴露了其作为单向管道在复杂工作流中可能面临的局限性。

其次,其生存严重依赖于Notion的生态与API稳定性,自身壁垒不高。一旦Notion原生功能增强或出现类似集成,其独特性将迅速削弱。当前“免费开始”的模式也暗示了其未来商业化路径的模糊。

本质上,这是一款优秀的“胶水型”效率工具,针对特定场景(Chrome+Notion重度用户)提供了优雅的解决方案,能显著减少低效的复制粘贴。但它更像一个功能完备的“特性”,而非一个独立的“产品”。其长远成功与否,取决于能否从单纯的同步工具,演进为基于书签数据进行智能分析、关联和洞察的下一代知识连接器。否则,恐将停留在“不错的小工具”范畴,难以形成持久影响力。

查看原始信息
Bookmark Assistant
Transform your Chrome bookmarks into an organized Notion database with one click. Bookmark Assistant is a production-ready extension that automatically extracts descriptions, syncs changes, and keeps your bookmarks perfectly organized in Notion—no manual copying required.
Hey Hunters! 👋 Aries here. We all love Notion, and we all use Chrome bookmarks. But keeping them in sync has always been a pain -- until now. I built Bookmark Assistant to automate the boring part of knowledge management. It’s not just a sync tool; it’s a metadata enricher. Key Features: ✅ Rich Metadata: Auto-extracts descriptions and favicons. ✅ Duplicate Detection: Smart fingerprinting prevents clutter. ✅ Beautiful Template: Includes a "Gallery View" dashboard to visualize your links. ✅ Privacy First: Your data stays between your browser and Notion. I made this to solve my own productivity bottleneck, and I hope it boosts yours too! The extension is free to start. I’d love to hear your thoughts on the UX and the Notion template design! 🚀 Cheers, Aries
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I’ve always had a million tabs saved across folders so the idea that Bookmark Assistant can auto-sync them into Notion and add descriptions without copy-pasting is honestly refreshing.

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Congrats on the launch! Love the idea of turning bookmarks into something actually usable instead of a forgotten list. How do people usually organize the Gallery View, by topic, project, or recency?

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Congrats on the launch!

Syncing Chrome bookmarks directly to Notion with rich metadata is such a smart productivity hack. Curious - how do you handle updates when bookmarks change frequently?

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Is it one-way sync? From Chrome to Notion? Or two-way: once you change something in Notion(where it is more convenient(e.g. remove, change folder, etc)), the change will be synced to Chrome as well?

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I don't know if there is a valid use case for this...

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Love how this handles metadata and keeps bookmarks synced automatically, such a time saver for Notion users! Curious how you are handling syncing across large bookmarks collections?
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Very Nice @arieszhou !
Does it support other browsers like Mozilla Firefox ?

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#9
Toma
AI agents for automotive dealerships
115
一句话介绍:Toma为汽车经销商打造专属语音AI助手,通过接听每一通来电、自动化服务预约并内置经销商防护规则,解决其漏接营收敏感电话、客户沟通效率低下及客户满意度(CSI)管理难的痛点。
Cars CRM
AI语音助手 汽车经销商 SaaS 客户沟通自动化 智能调度 营收保护 垂直行业AI 客户满意度(CSI) 电话接听 流程优化
用户评论摘要:用户普遍认可其聚焦汽车经销商的垂直应用价值,认为用例清晰且聪明。主要问题集中于:选择该垂直领域的原因、产品本身在营销开发中AI的使用比例,以及如何适配不同经销商工作流程的落地。
AI 锐评

Toma展现了一个典型的“AI+垂直行业”的务实打法,其真正价值不在于炫技,而在于精准的手术刀式切入。汽车经销商是一个电话密集型、流程标准化程度相对较高且“每个电话都是潜在收入”的典型场景,这为语音AI提供了完美的价值锚点:将人力从重复的接听与初步筛选中解放,并直接堵住“漏接”这个营收漏洞。

然而,其面临的挑战远比技术演示复杂。首先,是“信任”与“失控”的悖论。经销商的核心关切是“AI会不会赶走我的客户”?Toma强调的“经销商专属防护规则”正是对此的回应,但这意味着产品需深度理解各经销商庞杂的促销政策、服务条款与沟通话术,其落地成本不低。其次,评论中关于“适配不同工作流程”的疑问直指核心——这并非一个通用语音API,而是一个需要深度集成与定制实施的行业解决方案,其商业模式可能从标准化SaaS滑向项目制。

产品名“Toma”(可能取自“Take On Missed Appointments”或类似含义)直接点明其初期价值主张:防御性营收保护工具。但它的天花板在于能否从“接电话的AI”进化为“提升全流程转化与客户生命周期的AI”,即从成本中心转向营收中心。当前阶段,它是一个思路清晰、市场验证明确的利基产品,但能否规模化,取决于其行业Know-How的封装能力与实施效率,而非单纯的语音技术本身。

查看原始信息
Toma
Toma builds Voice AI agents for automotive dealerships that answer every call, automate service scheduling, and protect revenue with dealer-specific safeguards. Improve CSI, reduce missed calls, and streamline customer communication.

This is pretty cool! I'm curious how you decided to hone in on auto dealerships? It seems like a clear use case that is generally applicable.

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What percent of your launch, marketing, website, and app weren't created by, or assisted with, AI?

Pretty compelling application of it!

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Love this! 🚀 Toma 2 makes AI task management feel effortless — smart auto-prioritization and smart suggestions could really boost productivity.

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Congrats!This is honestly a really smart vertical to tackle with AI voice agents.

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Impressive use case, especially solving missed calls in dealerships where every call is revenue-sensitive. Curious how you are handling onboarding across different dealerships workflows?
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#10
CogniMemo Extension
AI memory tool that lives where you work
109
一句话介绍:一款为ChatGPT等AI工具添加长期记忆的浏览器扩展,通过统一存储和快速检索用户笔记、历史对话及网页内容,解决了跨AI平台和会话时信息孤立、重复输入的痛点。
Chrome Extensions User Experience Artificial Intelligence
AI记忆增强 浏览器扩展 知识管理 AI工作流 跨平台上下文 个人知识库 智能助手 数据控制 效率工具
用户评论摘要:用户赞赏其简洁高效的UX设计。创始人积极互动,阐述了产品解决AI“失忆”问题的初衷。核心疑问集中在长期“记忆卫生”机制上,团队详细回应了通过范围限定、衰减算法和用户控制来保证记忆相关性与准确性的三层设计。
AI 锐评

CogniMemo Extension 瞄准了一个真实且日益凸显的痛点:主流生成式AI的“金鱼记忆”与用户对连续性、个性化辅助需求之间的根本矛盾。其价值不在于“笔记”功能本身,而在于试图成为AI应用层之下的“记忆即服务”基础设施。

产品思路犀利地切入了当前AI工具堆砌下的体验断层。用户不得不在ChatGPT、Claude等独立会话中反复进行“背景介绍”,本质是用户在为AI的孤立设计买单。CogniMemo通过一个轻量的浏览器扩展,试图统一记忆层,其“@cogni”的唤醒方式颇具巧思,将记忆检索无缝嵌入工作流,而非强迫用户切换平台。

然而,其真正的挑战与价值核心并非技术集成,而是其评论中已触及的“记忆卫生”问题。AI记忆并非简单的存储与召回,错误的、过时的信息被错误召回,其危害远大于“遗忘”。团队回应的“范围限定”、“衰减算法”、“用户控制”三层机制是正确方向,但这将是一场与复杂性持续的战争。记忆的关联性、冲突解决、权限管理,每一个都是深坑。产品若成功,其壁垒将不在于扩展本身,而在于这套不断演进的记忆治理逻辑。

此外,其“数据用户自控”的宣称,既是吸引隐私敏感用户的亮点,也隐含了商业模式的挑战。作为基础设施,它如何在不触碰用户原始数据的前提下创造可持续价值?是走向团队协作功能,还是提供高级的记忆分析洞察?这是其未来需要回答的问题。

总之,这是一款理念先行的产品,它指出了AI普及后的下一个关键赛道:如何让AI真正“认识”并持续服务其用户。其成败将取决于能否在“智能记忆”与“可控可靠”之间找到精妙的平衡。

查看原始信息
CogniMemo Extension
CogniMemo helps your AI remember. It adds long-term memory to ChatGPT and other AI tools. You can type @cogni in any chat to search your saved notes, past chats, and content. It works with ChatGPT, Claude, Gemini, and DeepSeek. You can save posts from X/Twitter, archive your AI conversations, and use a floating assistant on any website to explain or write using your own knowledge. Everything stays organized in one fast, searchable place—and your data stays under your control.

Hey Product Hunt 👋
I’m Volkan Çetin, Co-Founder of CogniMemo.

We built CogniMemo Extension because AI forgetting everything felt broken.

Every chat resets
Every tool is isolated
Every insight gets lost

We wanted AI to actually remember — across tools, chats, and the web.

What CogniMemo Extension does:

  • Adds long-term memory to your AI

  • Lets you search your own knowledge by typing @cogni in any chat

  • Syncs your X (Twitter) content and AI conversations into one memory

  • Gives you a floating AI copilot you can use on any website

  • Works as one browser extension

  • Acts as a single memory layer you can use with any LLM

One extension.
One memory layer.
Any AI model.

We’re excited to finally share this with you.
Would love your feedback and questions 🚀

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Hey Product Hunt 👋
I’m Sami, founder of Cognimemo.

We built Cogniextension because AI tools forget everything the moment your chat ends — and humans shouldn’t have to repeat themselves.

Cogniextension lets you save, recall, and reuse context across tools, tabs, and conversations.

What it does (plain English)

  • 🧠 Capture important info while you work (notes, decisions, context)

  • 🔍 Retrieve the right memory when you ask — not a long chat history

  • 📌 Pin what matters and expand it when you need deep context

  • 🤖 Designed for AI workflows, not just note-taking

This isn’t another notes app.
It’s context infrastructure for people using AI every day.

Who it’s for

  • Builders & developers

  • Researchers & writers

  • Anyone tired of re-explaining things to AI

Why we built it

We noticed something broken:

AI is powerful, but it has no memory — and humans pay the cost.

Cogniextension is our first step toward fixing that.

What we’d love from you

  • Try it and break it

  • Tell us where it actually helps (or doesn’t)

  • Feature requests > compliments 🙂

We’re shipping fast and listening closely.

Thanks for checking it out — excited to hear what you think! 🙌

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Incredible, I love this simple UX, less is more and nothing else is needed

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@pasha_tseluyko Thank you so much! 🙌
That really means a lot to us. We intentionally focused on keeping the UX minimal and distraction-free, so it’s great to hear that “less is more” resonates. We’re aiming to let the value come from the experience itself, not extra complexity. Appreciate the support! 🚀

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@pasha_tseluyko Appreciate for your opinions, means a lot 🙏🏻

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Wondering how you’re thinking about memory hygiene long-term, like how do users avoid outdated or conflicting memories being pulled back into chats?

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@russell_dou Thanks for the question
this is something we’ve been very deliberate about from the start.

Long-term memory only works if it stays trustworthy, so we treat memory hygiene as a first-class concern, not an afterthought. At a high level, we focus on three layers:

1. Scoped and contextual memory
Memories aren’t pulled globally by default. They’re scoped by user, app, workspace, and even intent, so irrelevant or stale data doesn’t compete for attention. This alone eliminates a large class of conflicts.

2. Decay, versioning, and confidence signals
Memories aren’t static. Each entry carries freshness, usage frequency, and confidence metadata. Older or contradicted memories naturally decay in priority, while reinforced ones rise. When new information conflicts with an existing memory, we don’t blindly overwrite—it gets versioned and resolved based on recency and reliability.

3. Explicit control and auditability
Users and developers can inspect, edit, lock, or delete memories. If something becomes outdated, it can be deprecated or archived rather than silently resurfacing. We believe “invisible memory” is dangerous; explainability matters.

Long-term, we see memory behaving more like a living knowledge graph than a log—constantly re-evaluated, pruned, and re-weighted based on real usage and signals, not just time.

In short: memories should earn their way back into a conversation. If they don’t, they fade out.

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#11
Weather mini for Apple Watch
Meet Weather mini 3, smart weather cards on your wrist.
105
一句话介绍:一款专为Apple Watch打造的轻量级天气应用,通过精美动态插画和直观的信息卡片,在用户抬腕的瞬间提供一目了然的实时天气与预报,解决了手表端天气信息展示呆板、不直观的痛点。
Apple Watch Weather Lifestyle
苹果手表应用 天气服务 表盘复杂功能 动态插画 轻量级应用 信息可视化 穿戴设备 即时预报 表盘画廊 用户体验
用户评论摘要:用户普遍赞赏其精美的设计、实用的预报卡片和对Apple Watch的专注。主要问题与建议集中在:复杂功能颜色能否自定义以匹配表带;动画是否为循环播放及对续航的影响;开发者回应颜色随表盘主题,动画仅在卡片出现时播放且功耗极低。
AI 锐评

Weather mini 3的价值,远不止于“又一款天气应用”。它精准地切入了一个被主流开发者长期忽视的缝隙:为Apple Watch这块“终极近场屏幕”提供真正原生化、轻量化且视觉愉悦的专属体验,而非手机应用的简陋附属品。

其真正的犀利之处在于“场景定义”。它没有堆砌功能,而是深刻理解了在手腕上查看天气的核心场景是“一瞥即得”。动态插画和卡片式布局,将复杂的天气数据转化为直觉化的视觉语言,实现了信息密度与阅读舒适度的平衡。新增的昼夜追踪复杂功能,更是将实用信息升华为一种具有装饰性的表盘元素,迎合了智能手表作为“可穿戴科技珠宝”的属性。

然而,其面临的挑战也同样清晰。首先,其“手表独占”的轻量化策略是一把双刃剑,在获得纯粹体验的同时,也主动放弃了与手机端协同的、更强大的数据分析和通知场景。其次,用户关于颜色自定义的提问,暴露出个性化需求与开发者追求的“自动化优雅”(随天气或表盘变色)之间的潜在矛盾。在个性化至上的穿戴领域,这可能需要更灵活的解决方案。

总体而言,这是一次充满敬意且目标明确的“小题大做”。它证明在硬件性能过剩的时代,对特定设备(尤其是手表)交互场景的深度洞察与克制设计,远比功能的简单移植更具价值。它的成功与否,将测试市场究竟有多少用户愿意为一块手表屏幕上的“优雅一瞥”而付费,这本身就是对智能穿戴应用生态成熟度的一次有趣探针。

查看原始信息
Weather mini for Apple Watch
Check out Weather mini 3 for Apple Watch: - Get fresh, animated illustrations of the weather right now. - See detailed hourly and daily forecast cards. - Discover new complications like a day and night tracker. - Enjoy a built-in watch face gallery.

Hi Product Hunt,

I’m Kai, the developer behind Weather mini, and I’m joined by Ann, our designer. We’re thrilled to share that we’re launching the major update to Weather mini here, almost six years after we first introduced this watch-only app.

We’d love to hear your questions and ideas about this little watch app!

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The day/night tracker complication looks super sleek. 🌗 I'm always looking for ways to spice up my Modular face. Can I customize the color themes of the complications to match my specific watch band, or are they strictly tied to the current weather conditions?

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@yoang_loo Thanks!

The complications go with the watch face's scheme color.

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The detailed hourly and daily forecasts are actually useful.I used to rely only on the default weather app, but Weather mini shows me the day at a glance in a way that actually helps me plan my day better.

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@ayazakram Thanks! So happy you’re finding the daily card helpful!

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Love that someone is building for apple watch!

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@pasha_tseluyko Thanks!

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@pasha_tseluyko Thanks. Apple Watch deserves more thoughtful apps!

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The illustrations look incredibly charming! It's rare to see this level of visual polish on a standalone Watch app these days. Shoutout to Ann for the design work. Quick question on the animations: do they play on a loop, or are they optimized to pause quickly to save battery life on the watch?

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@liusally4 Thanks! We are huge fans of standalone and lightweight watch apps.

The animation is in a loop, and it only plays when the card appears (less than 5% CPU consumption, so no worries about battery life).

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@liusally4 Thanks! Designing for a tiny screen is fun, and the Watch deserves the care.

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#12
Unreel UGC
Your AI video content team that posts while you sleep
41
一句话介绍:Unreel UGC是一款AI驱动的全自动视频内容生成工具,为电商/TikTok Shop卖家和联盟营销人员解决了高频视频内容(每日3-5条)创作成本高昂(每月可达5万美元)、依赖人力、流程繁琐的核心痛点,实现从趋势研究到脚本、AI人像生成及发布的无人化流水线作业。
Marketing Artificial Intelligence Video
AI视频生成 用户生成内容(UGC)自动化 电商营销 TikTok内容创作 社交媒体营销工具 内容流水线 AI数字人 降本增效 联盟营销 无人化运营
用户评论摘要:目前主要反馈来自创始人产品介绍。其指出了传统UGC创作成本高、创作者失联、修改耗时、交付慢的痛点,并阐述了产品自动化流程的价值。尚未出现其他用户的具体使用反馈、问题或功能建议。
AI 锐评

Unreel UGC描绘的“睡着觉就把活干了”的图景,直击了当下内容电商最血腥的战场:TikTok算法对内容量的贪婪吞噬与人力创作瓶颈间的根本矛盾。它宣称的“将每月5万美元的UGC成本转化为无限内容引擎”,本质上是一场对“内容生产关系”的颠覆——将依赖个体创意者的“租赁”模式,转变为由AI驱动的、可规模化的“自有”资产。其真正价值不在于单个视频质量能否媲美真人创作者(短期内大概率不能),而在于它试图将内容从“创意手工艺品”降维成可标准化、工业化输出的“数据驱动型燃料”。

然而,其面临的挑战同样尖锐。首先,在TikTok这个极度崇尚“真实”与“人格化”的场域,同质化的AI人像能否持续吸引并建立信任,是一个巨大的问号。算法在奖励数量的同时,最终仍会回归到用户互动指标,缺乏“人味”的内容可能面临互动天花板。其次,所谓的“趋势研究”和“转化脚本”能否具备足够的本地化、垂类深度和时效性,决定了其输出是“弹药”还是“噪音”。最后,该产品将自身置于一个微妙的监管与伦理地带,AI生成内容的标识、版权以及可能涉及的“虚拟代言”合规性问题,都是潜在的暗礁。

总体而言,Unreel UGC是工具理性对内容创作领域的一次激进入侵。它最适合的客户并非追求品牌调性的高端商家,而是那些处于激烈竞争、对成本极度敏感、将视频视为纯粹流量转化工具的电商玩家。它的成功与否,不取决于是否取代顶级创作者,而在于能否在“足够好”的质量基准上,实现极致的规模与成本优势,成为内容军备竞赛中的“标准化武器”。当前41票的热度也表明,市场在观望,等待其宣称的自动化流水线能交出怎样的实际转化答卷。

查看原始信息
Unreel UGC
Unreel turns the $500/video UGC grind into an unlimited content engine. No more hiring creators, waiting for deliverables, or endless editing. Just tell Unreel what you're selling. It researches trending hooks, writes scripts, generates AI avatars, edits with proper pacing and then publishes directly to TikTok - all on autopilot. Built for Ecommerce/TikTok Shop sellers and affiliate marketers who need 3-5 videos/day but can't burn $50K/month on creators. Own your content pipeline, not rent it.
Hey PH! 👋 I'm Lewis, solo founder building Unreel. The problem: TikTok's algorithm rewards volume. To win, you need 3-5 videos/day. That's 100+ videos/month. At $500/video with UGC creators, you're burning $50K — and still dealing with ghosting, revisions, and slow turnarounds. Unreel automates the entire pipeline: trend research → script → AI avatar → publish. No editing. No waiting. Just content that converts. Would love your feedback — what features would make this a must-have for your content workflow?
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#13
Chanimate
Where Children's Imagination Comes to Life
38
一句话介绍:一款利用AI将儿童手绘涂鸦转化为多种风格的艺术画、动画和个性化有声故事书的APP,在家庭亲子场景中,解决了儿童画作难以保存和动态展示的痛点,让孩子的想象力得以生动延续。
Parenting Kids Artificial Intelligence
儿童教育科技 AI艺术生成 亲子互动 个性化故事书 动画制作 家庭教育 创意保存 无广告安全 多语言支持 涂鸦转数字
用户评论摘要:创始人评论为主,阐述了开发初衷(保存孩子易被丢弃的画作)和产品核心(安全、无广告、为幼儿设计)。目前缺少其他用户的直接反馈、问题或建议。
AI 锐评

Chanimate精准切入了一个被忽视的“情感科技”市场:它贩卖的不是绘画技巧,而是父母对孩子创造力的珍视与仪式感。其真正价值在于,将物理意义上注定泛黄、遗失的纸质涂鸦,转化为可迭代、可传播、可沉浸体验的数字资产,从而完成了从“保存记忆”到“激活想象”的升级。

产品设计显露出对家庭用户需求的深刻理解。无广告、无社交的安全私密环境,是对低龄儿童数字安全的必要保障,也是说服谨慎家长付费的关键。提供Pixar 3D、粘土动画等多种风格,实质上是为父母提供了“晒娃”的差异化社交货币;而45种语言的故事书叙事,则巧妙扩展了产品的文化普适性与家庭使用场景。

然而,其商业模式与长期吸引力面临拷问。作为工具类应用,用户生命周期可能止步于孩子年龄增长。单次绘画转化的新鲜感过后,能否通过更新AI风格、增加互动叙事元素或引入轻量级社交(如仅限家庭共享)来提升留存,是待解难题。此外,AI生成的“精美”结果,是否会无形中设定了“好作品”的标准,反而扼杀了儿童涂鸦本身原始、笨拙的珍贵特质?这需要团队在算法设计上格外审慎。

当前38票的关注度,反映出其在Product Hunt这类极客社区中声量不足,这恰与其“非技术家长”的核心用户画像错位。下一步,如何直接打入亲子社群进行冷启动,并通过用户生成内容形成口碑传播,比获得科技媒体的掌声更为重要。

查看原始信息
Chanimate
Chanimate turns your child’s drawings into magical artwork, animations, and personalized storybooks. Kids draw on paper. Parents take a photo. Chanimate brings those drawings to life using AI while preserving every quirky detail that makes them special. What makes Chanimate different: • Multiple AI art styles (Pixar-style 3D, Cartoon, Anime, Claymation) • Short, kid-friendly animations • Personalized 10-page storybooks with narration in 45+ languages • Designed for parents and young children
Hi Product Hunt 👋 I built Chanimate after realizing how many of my kids’ drawings slowly disappeared into drawers - or the recycling bin. 😉 I wanted more than photos. I wanted a way to preserve their imagination and actually bring it to life. Chanimate lets parents turn kids’ drawings into artwork, short animations, and even narrated storybooks. Safely, without ads or social feeds, and designed specifically for young children. I’d love feedback from parents, makers, and anyone building products for families. Happy to answer any questions!
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#14
Human Resources tttoolbox
Best end-to-end Human Resources tools and templates for 2026
30
一句话介绍:一款构建在Notion之上的端到端HR工具集,为预算有限的中小企业和初创公司提供了媲美专业SaaS的招聘、入职、绩效管理等模块化解决方案,解决了其无力承担昂贵HR软件又亟需系统化管理的痛点。
Design Tools Human Resources Notion
HR工具 Notion模板 中小企业 人力资源管理系统 一站式解决方案 自动化工作流 AI赋能 性价比 远程团队 招聘入职
用户评论摘要:主要评论来自产品团队自述,详细阐述了产品价值与差异化优势。另一条用户评论肯定了网站设计及在Notion上解决此问题的难度。目前评论中未发现来自真实用户的批评或具体功能建议。
AI 锐评

这款产品本质上是一次对Notion平台能力的“压榨式”创新,其真正价值在于精准地捕捉到了一个细分市场的“支付意愿”与“功能需求”之间的巨大落差。它没有创造新需求,而是用“平台迁移”的方式重构了供给:将传统SaaS中价值数万元的HR系统功能,通过Notion的数据库、看板和页面关联功能进行“平替”,并将成本压缩至一次性的99美元。

其宣称的“SaaS体验”是巧妙的包装,内核是极致的模板工程化。将19个模块深度互联、设计系统化、并嵌入AI辅助文案,这确实超越了市面上大多数零散模板,试图在Notion内构建一个封闭、连贯的业务系统。这瞄准了中小企业在“无HR系统之痛”与“上HR系统之贵”之间的夹缝市场,尤其是那些已使用Notion进行协作的团队,迁移成本极低。

然而,其深层风险与挑战同样鲜明。首先,重度依赖Notion既是优势也是天花板,复杂工作流的稳定性、数据深度处理能力、以及与专业HR系统(如薪酬计算、税务合规)的集成度存在天然瓶颈。其次,“一次性付费”模式对持续研发和客户支持的可持续性构成考验。最后,其市场定位略显尴尬:微型团队可能嫌重且需学习,而成长到一定规模的企业最终仍会迁移至专业SaaS。产品能否成功,关键在于能否在用户规模增长与Notion能力边界之间找到平衡点,并构建起足够深的服务护城河,而非仅仅是一套精美的模板。

查看原始信息
Human Resources tttoolbox
Best free and paid HR templates from Notion and designs, used by +3000 HR professionals, managers, and CEOs in startups, small and medium businesses, from hiring to offboarding.
👋 Hey Product Hunt! We're excited to share tttoolbox with you today! The Problem We're Solving: Most startups and small businesses can't afford expensive HR software ($5k-15k/year), but they desperately need systems for hiring, onboarding, performance management, and keeping their teams happy. Spreadsheets and scattered docs create chaos as teams grow. What We Built: A complete, end-to-end HR platform that happens to run on Notion—but feels like a premium SaaS product.We didn't just create templates. We built 19 interconnected modules with polished dashboards, automated workflows, and a complete design system that makes your HR operations look and function like enterprise software. Here's What Makes This Different: True SaaS Experience on Notion: - Cohesive dashboards that connect seamlessly across all modules - Professional UI that doesn't look like "just another Notion template" - Automated workflows between recruitment → onboarding → performance until offboarding Complete Design System Included: - 150+ ready-to-use HR communication templates - Presentation decks, process documents, org charts - Email templates, announcement designs, policy documents - Canva-ready assets for internal comms - Everything branded and professional 🤖 AI-Powered Throughout: - Job description generator - Performance review writer - Conflict resolution assistant - Wellness check-in prompts Why Notion? Your team already works here (or can start today for free). But unlike typical Notion templates, we've architected this to feel like standalone HR software—just without the $500/month price tag or vendor lock-in. What You Get: - 19 HR modules covering everything from hire to retire - End-to-end connected system (not isolated templates) - Professional designs for all your HR communications - One-time payment: $99 for everything - Already trusted by 3,000+ HR professionals and founders Perfect For: - Startups hiring their first 5-50 employees - Small businesses without dedicated HR - Remote teams needing async HR processes - Anyone who needs HR software quality at template pricing Try Before You Buy: We have free modules (Operations & Time Tracking, eNPS Reporting) so you can experience the quality firsthand.
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Congrats! Website looks clean. This is not an easy problem to solve in Notion.

1
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@alligatorman Thank you

0
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#15
Analyze Insta
Instagram analytics made easy
21
一句话介绍:一款AI驱动的Instagram深度分析工具,通过解析受众画像、内容策略和生成广告创意,解决内容创作者和营销者面对原生数据洞察不足、策略制定盲目耗时的主要痛点。
Instagram Artificial Intelligence Statistical Analysis
Instagram分析 AI分析 社交媒体工具 受众洞察 内容策略 广告创意生成 营销自动化 增长工具 SaaS
用户评论摘要:有效评论主要来自产品创造者的自我介绍。其阐述了开发动机是解决Instagram原生数据洞察浅薄、传统工具只提供图表而无策略指导的痛点,并详细列举了核心功能。未发现其他用户的提问或建议。
AI 锐评

Analyze Insta 瞄准了一个拥挤赛道中的精准缝隙:将Instagram数据分析从“描述性”推向“处方性”。其真正价值不在于呈现更多维度的图表(如人口统计、热力图),而在于试图用AI充当一个不知疲倦的策略分析师,完成从“是什么”到“为什么”再到“怎么做”的跨越。

产品逻辑直击核心痛点:大量中小型创作者和品牌运营者被困在数据堆里,缺乏将其转化为行动方案的认知能力和时间。AI生成广告概念、识别品牌声音等功能,本质上是将资深营销顾问的经验产品化、自动化,降低了策略门槛。其宣称的“30秒替代数小时人工研究”,正是对这一价值主张的犀利概括。

然而,其面临的挑战同样尖锐。首先,策略的“保真度”和“个性化程度”是生命线。AI生成的建议是流于表面的泛泛之谈,还是真正具有可操作性的洞见,将决定用户留存。其次,数据源依赖Instagram API,其数据广度和稳定性受制于平台政策,这构成了潜在风险。最后,在“AI赋能”已成标配的当下,如何构建难以复制的数据飞轮(即利用更多用户数据训练出更精准的模型)是其建立护城河的关键。

总体而言,这是一款思路正确的产品,它没有停留在数据仪表盘的红海竞争,而是向上游的“决策支持”甚至“决策生成”迈进。其成功与否,不取决于AI概念的包装,而取决于其算法在真实商业场景中带来的可验证的增长效果。如果其AI建议仅比用户直觉好10%,它可能只是个有趣的玩具;如果能好50%以上,它才有机会成为必需品。

查看原始信息
Analyze Insta
Decode your audience with AI. Analyze Insta provides granular demographics, content strategy analysis, and AI-generated ad concepts for social media growth.
"Hey Product Hunt! 👋 I’m the creator of AnalyzeInsta. I built this because I was tired of staring at Instagram’s native insights and feeling like I still didn't know what to post or who was actually watching. Most tools just show you a bunch of graphs without explaining the 'why' behind them. AnalyzeInsta is my attempt to fix that. It’s an AI-powered tool that goes way beyond basic likes and follows to give you actual strategy you can use. Here’s what you can do with it: Find your true voice: Our AI looks at your content and identifies your brand's unique tone and the themes that keep people coming back. Know your crowd: Get the real details on audience demographics and locations so you stop guessing who you're talking to. Get ad ideas in seconds: If you’re struggling with what to run for an ad, the tool generates specific concepts, hooks, and copy tailored to your audience. Master the timing: We use heatmaps to show you the 'golden hours' when your specific audience is most likely to see and engage with your posts. Save a ton of time: What used to take me hours of manual competitor research now takes about 30 seconds. I’m really excited to share this with you all. I’ll be hanging out in the comments all day, so please let me know what you think or if there are any other features you’d love to see! 🚀"
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#16
prettylog.net
Transform messy server logs into clean, readable format
21
一句话介绍:一款在浏览器本地运行的日志格式化工具,通过语法高亮和快速过滤,将杂乱的服务器日志转换为清晰可读的格式,解决了开发者和运维人员日常排查问题时阅读原始日志困难的核心痛点。
Analytics Developer Tools Search
日志格式化 开发者工具 运维工具 本地处理 数据安全 日志解析 语法高亮 日志搜索 可分享日志
用户评论摘要:用户反馈积极,认为产品“整洁”、“做得好”。核心认可点在于其简单易用(复制粘贴即可)和分享功能(通过URL哈希片段)。目前评论中未提出具体问题或改进建议。
AI 锐评

PrettyLog 切入了一个微小但真实存在的痛点:开发者每日面对的、缺乏格式化的原始日志流。其价值并非技术创新,而在于对“本地化”和“即时可用性”的精准把握。产品刻意规避了需要部署、接入数据流的重型方案,选择以纯前端工具形式出现,这既是其最大的优势——零成本尝试、绝对的数据隐私,也可能成为其长期发展的天花板。

从评论看,“复制粘贴”和“URL分享”是用户立刻感知到的亮点,这印证了工具在轻量级协作场景下的价值。然而,产品本质上是一个增强型的“查看器”,而非“分析器”。它解决了可读性问题,但并未深入日志的聚合、监控、告警等更具商业价值的层面。支持的众多日志格式是其护城河,但自定义正则解析功能也暴露了面对海量非标格式时的潜在繁琐。

在可观测性(Observability)工具日益平台化、智能化的今天,PrettyLog 的定位更像是一个精巧的“瑞士军刀”,而非重型机械。它的成功取决于能否在开发者工作流的“最后一公里”——即快速查看、临时分享——建立不可替代的体验,并可能成为通向更复杂平台的优雅入口。但若停留于此,其工具属性将导致用户粘性不足和付费意愿低下。下一步,是深化单点功能(如加入简单统计、模式识别),还是尝试以轻量级SaaS提供历史查询功能,将是其面临的关键抉择。

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prettylog.net
PrettyLog transforms messy server logs into clean, readable format with syntax highlighting and fast filtering.

looks neat, definitely will use it

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@mansimov happy to hear that Elman!

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nicely done!

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@laurentlahmy_ thank you Laurent!

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Hey Hunters 👋

💡I often check raw logs - out/error.log, nginx's access.log, etc, but they're hard to read so I built beautiful log parser & formatter with search and syntax highlighting.

PrettyLog supports many common log formats out of the box:

• nginx access logs
• Apache Error logs
• Syslog (RFC 5424)
• Logfmt (Heroku/Go style)
• Docker logs
• standard/node.js logs
• Spring Boot logs
• AWS VPC Flow logs
• Kubernetes kubectl get events

🛠️ If you need something specific, you can use custom regex parser.

Processing is 100% local. Your data never leaves the browser. You can share your logs - data are encoded in the private URL #hash fragment.

💬 Would love to hear your feedback! Please give it a try and let me know what you think - what you love, what could be improved and what you want me to add next!

Hope you find it as useful as I do!
- Adam

PS: I share all my work here.

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@bardonadam Looks great! I love that it works with a simple copy & paste—no complex integrations needed. Sharing logs via a URL is also a really nice touch. 🙌

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#17
Camoleo
Show the right message to every visitor on your website
19
一句话介绍:Camoleo是一款无需编码的网站个性化工具,通过AI辅助内容创建与测试,在不同访客场景下自动展示定制化内容,解决了中小企业主快速实现网站动态适配、提升转化率的痛点。
User Experience Marketing SaaS
网站个性化 无代码开发 AI内容生成 A/B测试 营销自动化 用户体验优化 SaaS 转化率优化 智能营销
用户评论摘要:目前评论较少,主要为产品创建者发布和一位用户的友好支持。创始人阐述了解决“无需重建页面实现网站适配”的痛点,用户@johnbuildss表达了尝试意愿。暂无实质性使用反馈或问题建议。
AI 锐评

Camoleo切入的是“个性化营销”这一拥挤的赛道,其宣称的“无代码”和“AI驱动”已是当前SaaS工具的标配话术,价值主张缺乏新意。产品核心逻辑清晰——通过元素级的内容替换实现动态网站,这本质上是将传统的A/B测试工具与内容管理系统(CMS)进行了轻量化结合,并披上了AI的外衣。

其真正的挑战在于价值交付的深度。首先,“向每位访客展示正确信息”是一个宏大的承诺,但仅靠有限的文本和图片替换,能否真正理解复杂的用户意图并驱动显著的转化提升,需要打上问号。这背后需要强大的数据洞察和算法支持,对于一个新晋工具而言,资源恐难匹配愿景。其次,其定位介于专业的营销优化平台(如Optimizely)和简易的网站插件之间,可能面临“专业用户嫌其功能浅,小白用户嫌其操作繁”的尴尬。

创始人构建产品的初衷——“不想重建页面”的痛点确实存在,但解决方案的壁垒不高。产品的生存关键将取决于其AI内容生成的质量、与主流建站工具的集成深度,以及能否在细分场景(如电商产品页、SaaS定价页)中提供经过验证的、开箱即用的个性化模板与策略。若仅停留在“另一个可以换文字的工具”层面,其生命周期将十分有限。当前近乎空白的用户反馈区,也侧面印证了产品仍处于非常早期的市场验证阶段,前途未卜。

查看原始信息
Camoleo
Camoleo lets you personalize your website without creating multiple pages or writing code. Pick which text and images can change, and Camoleo shows the right content to each visitor automatically. You can use AI to create new copy and test variations fast so every visitor sees something relevant.
Hey everyone 👋 I built Camoleo because I wanted websites that adapt to each visitor without rebuilding pages. Just choose the parts of your site you want to change, and Camoleo automatically shows the right content to each visitor. AI helps you create new copy and test ideas fast. Can’t wait to see how you use it!
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@johnbuildss Love this idea! Will try it out later, good luck John!

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#18
Jelliflow
Record your screen. AI builds your onboarding. Done.
19
一句话介绍:Jelliflow 通过AI分析屏幕录制视频,在10分钟内自动生成包含交互式导览、工具提示和检查清单的完整用户引导流程,解决了SaaS产品因手动搭建引导耗时过长、用户上手困难而导致流失的痛点。
User Experience SaaS Artificial Intelligence
用户引导与上手 AI自动化 屏幕录制转导览 SaaS工具 产品演示 用户体验优化 无代码开发 效率工具 初创企业
用户评论摘要:创始人自述产品源于多次因用户引导失败而创业受挫的真实痛点。有用户反馈定价对目标客群(开发者/微SaaS)可能偏高,创始人回应核心目标客户是有预算、希望产品经理能独立快速完成引导的初创公司。
AI 锐评

Jelliflow 切入的是一个经典的“效率悖论”市场:现有专业工具(如Userpilot)功能强大但设置繁琐,与初创团队追求快速迭代的节奏格格不入。其核心价值并非AI技术本身有多深奥,而在于精准地重新定义了工作流——将“构建”引导流程,降维成“演示”产品一次。这本质上是将需要产品、设计和开发协同的“项目”,变成了产品经理单人即可发起的“任务”。

然而,其面临的挑战同样尖锐。首先,定位模糊:评论中暴露了定价与定位的认知冲突。创始人声称目标客户是“有预算的初创公司”,但早期拥趸往往是精打细算的独立开发者和微SaaS创始人。这种矛盾可能导致初期增长乏力。其次,技术天花板:AI从录屏中识别界面元素和操作逻辑的准确性,在复杂、动态或非标准产品中面临考验,其生成的引导流程的精细度和定制化程度,能否满足付费企业的品牌与体验要求,仍需观察。最后,市场窗口期:其“录屏+AI生成”的模式门槛并非不可逾越,一旦被现有大型工具作为功能模块快速复制,其独立生存空间将受挤压。

真正的机会在于,它能否从“快速生成”工具,演进为“持续优化”平台。例如,通过分析用户在自动生成的引导中的互动数据,反向指导产品优化。否则,它可能只是一个解决了创始人个人执念的“止痛药”,而非能构建长期壁垒的“维生素”。

查看原始信息
Jelliflow
Stop spending days manually building product tours. Jelliflow uses AI to turn a simple screen recording into complete onboarding flows—interactive tours, tooltips, and checklists—in under 10 minutes. Just record yourself using your product. Our AI watches, learns the flow, and generates everything automatically. Embed it with a single code snippet. Built by a founder who lost 6 products to bad onboarding. Now you don't have to.
Hey Product Hunt! 👋 I built 6 SaaS products. All of them failed. And every single time, the killer was the same: users signed up, skipped the product tour, got confused, and churned. I tried the existing tools—Userpilot, Appcues, Product Fruits—but building proper onboarding took days of manual work. For a solo founder shipping fast, that's not realistic. So I built Jelliflow. Record your screen walking through your product, and AI generates the entire onboarding flow automatically. Tours, tooltips, checklists. Under 10 minutes, not days. Would love your feedback. What's the biggest onboarding pain point you've faced?
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Hey @robin_kampe

Nice idea and solid execution 👏

I just wanted to share some honest feedback from the perspective of a multi–successful micro-SaaS founder. I decided not to subscribe mainly because the monthly price feels a bit high for my use case.

No hate at all, just genuinely trying to be helpful. Given that your primary audience seems to be developers, many of whom can now replicate similar onboarding flows using AI for their own SaaS, it might be worth reconsidering the pricing strategy.

Wishing you the best with the product

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@daniel_vengoechea Thanks for the comment Daniel!

I really appritiacte the feedback. Jelliflows primary ICP is startups/saas that have money to spend, and can feel the problem of needing engineers to do onboarding (when PMs want to do it themselfs). Wich could take days if not weeks.

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#19
Lovable-prompts.com
Production-ready prompts for Lovable AI development
19
一句话介绍:这是一个为Lovable AI开发平台提供的、包含技术规格和设计指引的“生产就绪”提示词库,解决了开发者在AI编程中因提示词不精准而陷入反复生成与修改的效率痛点。
Productivity Artificial Intelligence Vibe coding
AI提示词工程 低代码开发 开发者工具 生产效率 提示词库 AI辅助编程 快速原型 最佳实践 模板化 无代码
用户评论摘要:创始人Marco现身说明,产品源于自身及观察到的开发者浪费大量时间调试提示词的痛点。核心价值在于提供经过验证的、包含技术细节的提示词模板,将AI输出从快速原型提升至可交付水平。他公开征集用户需求,询问哪些类型的提示词(如认证流程、仪表盘、API集成)最具价值。
AI 锐评

Lovable Prompts 瞄准的并非Lovable平台的能力缺陷,而是AI应用开发中一个日益凸显的中间层困境:提示词工程的门槛与效率损耗。它的真正价值在于尝试将“提示词”从一种模糊的、依赖个人经验的“咒语”,标准化为可复用、结构化的“生产组件”。

产品定位犀利地切入了一个缝隙市场:服务于那些希望利用AI生成代码但缺乏提示词工程专业知识的创始人和开发者。其宣称的“生产就绪”是核心卖点,也是最大挑战。它承诺的不仅是功能实现,更是“包括适当结构、技术规格和设计方向”,这实质上是在试图封装和传递顶尖开发者对需求拆解、架构设计和代码规范的认知。如果成功,它将成为AI辅助开发流水线上的一个关键“夹具”,大幅降低从想法到可部署代码的摩擦。

然而,其潜在风险与局限性同样明显。首先,深度绑定Lovable平台,使其市场天花板清晰可见,发展完全受制于宿主平台的生态与成败。其次,“生产就绪”是一个高标,涉及复杂上下文、具体业务逻辑和持续迭代,静态提示词库能否应对动态需求存疑。最后,它可能面临来自两端的挤压:上游是Lovable平台自身可能内化此功能;下游是开发者随着经验积累,会形成自己的提示词库,削弱对其依赖。

本质上,这是一次对“提示词即服务”商业模式的探索。它不直接生产代码,而是生产“能生产高质量代码的指令”。其长远意义或许在于,它揭示了在AI成为核心生产工具的时代,对工具的使用方法本身,正在成为一门值得被产品化和优化的独立生意。成败关键在于其提示词库的深度、质量以及能否建立超越简单模板分发的、真正的开发者协同生态。

查看原始信息
Lovable-prompts.com
Lovable Prompts is a curated library of copy-paste prompts for building better apps with Lovable. Instead of starting from scratch or getting stuck in the generate-fix-regenerate cycle, grab prompts that include proper structure, technical specs, and design direction. Built for founders and developers who want to ship faster without wrestling with prompt engineering. Each prompt follows Lovable best practices and gets you production-ready results.
Hi Product Hunt! I'm Marco, and I built Lovable Prompts after watching too many builders (myself included) waste hours fighting with prompts for AI coding tools. The problem wasn't Lovable, quite the opposite in fact: it's an incredible platform. The problem was that most people don't know how to write prompts that get production-ready results. We'd type "build a dashboard" and get something missing half the features we needed, then spend hours regenerating. Lovable-prompts.com solves this by giving you a custom prompt generator and a curated library of proven prompts that already include the technical specifications, user flows, and design direction that make the difference between a quick prototype and something you can actually ship. Think of it as the prompt equivalent of component libraries. Instead of reinventing the wheel every time, grab a tested template and customize it for your needs. What I'm most curious about: Which types of prompts would be most valuable to you? Auth flows? Dashboard layouts? API integrations? I'm building this in public and want to make sure I'm solving the right problems. Thanks for checking it out and I'm looking forward to your feedback!
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#20
Neural Draft
Your Website, Blog, and Socials - All in One Platform.
15
一句话介绍:Neural Draft为独立创业者和中小企业提供一站式内容生成与发布平台,在5分钟内自动化完成网站搭建、博客创作及社媒分发,解决多工具切换与专业内容创作的成本痛点。
Social Media No-Code Marketing automation
一站式内容平台 AI内容生成 网站建设 社媒管理 多语言翻译 SEO博客 无代码工具 中小企业营销 自动化发布 效率工具
用户评论摘要:目前仅有一条创始人发布的评论,旨在介绍产品理念并征集早期反馈。评论中未包含实际用户的使用体验、具体问题或功能建议,属于产品宣介而非有效用户反馈。
AI 锐评

Neural Draft描绘的“All in One”愿景直击小微主体营销的核心痼疾——工具碎片化与专业资源匮乏。其真正价值并非炫技式的AI生成,而在于试图将“创作-承载-分发”这一完整工作流压缩为一次性的指令输入,本质是营销SOP的自动化封装。

然而,产品面临双重“中间路线”的陷阱。其一,功能广度与深度难以兼得:对标专业建站工具(如Webflow),其AI建站的定制性与扩展性存疑;对标内容生成(如Jasper),其垂直领域的输出质量与SEO竞争力尚未验证;对标社媒管理(如Buffer),其多平台分发策略的智能化程度仍是黑箱。其二,目标用户画像模糊:“solopreneurs”需求极端务实,要么追求极致简单(如Carrd),要么追求转化效果,平台若仅停留在“内容填充”,而未与线索生成、销售转化深度捆绑,则易沦为鸡肋。

创始人征集反馈的姿态值得肯定,但早期15票的关注度揭示了市场热度的平淡。产品的生死线在于能否找到一个可验证的“杀手级”切入点:是AI生成内容的可信度,是“站-内容-社媒”一键同步的无缝体验,还是极致的性价比?当前“全而不精”的陈列式介绍,恰恰反映了其核心价值主张的失焦。在AI工具泛滥的当下,另一个“轻度集成平台”的故事已缺乏吸引力,除非它能证明其自动化流水线产出的不是“平庸的合规内容”,而是真正能带来商业回报的有效营销资产。

查看原始信息
Neural Draft
Create content, launch your site, and distribute everywhere - automatically. Designed for solopreneurs and small businesses, Neural Draft produces high-quality content in under 5 minutes, requiring no technical knowledge. Stop wasting time and money on fragmented tools.
👋 Hey Product Hunt - Vedran here, founder of Neural Draft. I built Neural Draft for people who want to show up online without turning content creation into a full-time job. With Neural Draft you can: - Generate SEO blog posts with AI-written content and header images - Create a simple website/homepage using the AI website builder - Turn posts into social content (including short videos & reels) - Translate everything into multiple languages - Schedule and publish from one place The idea is straightforward: one tool that helps you get online, stay consistent, and generate leads - without juggling writers, designers, and schedulers. This is an early launch, and I’m actively improving it based on real feedback. If you’re building, marketing, or growing something yourself, I’d love to hear what feels missing or unnecessary.
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