Product Hunt 每日热榜 2026-01-06

PH热榜 | 2026-01-06

#1
Canary
Learn languages with music, practice with people
291
一句话介绍:Canary是一款通过音乐学习语言的应用,用户可在听歌时查看实时翻译、保存生词、跟唱卡拉OK并参与歌曲测验,在娱乐场景中解决了传统语言学习枯燥、难以坚持的痛点。
Music Languages Online Learning
语言学习 音乐教育 卡拉OK跟读 词汇记忆 社交学习 趣味学习 发音练习 内容驱动 MVP阶段 YouTube集成
用户评论摘要:用户普遍认可“通过音乐学习”的理念,认为其有趣且利于记忆。主要问题与建议集中在:1. 歌曲版权与集成方式(现依赖YouTube);2. 歌词语法可能不标准(团队回应音乐主要用于记忆和动机层);3. 希望增加AI发音评分、语法反馈及更丰富的游戏化功能;4. 关注支持的语言范围。
AI 锐评

Canary捕捉到了一个敏锐的洞察:将高频的娱乐行为(听歌)与低频的技能学习(语言)进行绑定,试图用“耳虫效应”和情感共鸣来对抗学习惰性。其真正价值并非在语言教学的系统性上与传统应用(如Duolingo)竞争,而在于充当一个高效的“兴趣启动器”和“沉浸式语感培养皿”。它用卡拉OK和社交功能巧妙解决了“开口难”的核心障碍,将枯燥的跟读转化为有情感载体的模仿。

然而,其面临的挑战同样尖锐。首先,产品逻辑存在内在矛盾:歌词作为语言材料,其语法、用词常具艺术化变形,这与语言学习初期需要的规范输入相悖。团队称其主打“记忆和动机层”,这固然是巧妙的定位,但也可能成为学习者进阶的瓶颈。其次,商业模式悬于版权之上,依赖YouTube API虽在MVP阶段是明智的轻资产策略,但这也将产品的核心体验(歌曲库的丰富度、播放稳定性)拱手让于第三方平台,存在长期风险。最后,从评论反馈看,用户已不满足于简单的跟唱和词汇列表,对AI精细化反馈(发音、语法)的期待,预示着产品必须在“趣味性”之外,尽快构建更深度的学习工具价值,否则恐有沦为“一时新鲜”玩物的风险。

总体而言,Canary是一次出色的市场切入,它用极低的情绪成本撬动了学习行为。但其能否从“有趣的功能”成长为“有效的学习产品”,取决于它如何平衡娱乐与教育的权重,并在版权合规的前提下,构建更可控、更深度、更具教学逻辑的内容与服务层。

查看原始信息
Canary
Canary is a language learning app powered by music. Pick a song, see real-time translations, save words to your vocabulary list, sing karaoke to practice pronunciation, take quizzes on songs, and practice with others!

Hey PH Family! 👋

I’m Ben, and Canary started almost by accident.

After a small exit, I decided to do some content creation ( reached 800k+ followers mostly because of my French accent 🫠)

Six months ago, I posted a simple video of me singing in French with English translations. Nothing fancy, just lyrics and subtitles. The response was incredible. Engagement was super high.

I launched a separate page dedicated to this idea, and it grew to 100k followers in just 5 months.
That’s when I realized people love learning languages through the songs they already love.

That’s why I am building Canary.

With this beta version you can:

🐥 Pick a song and see real-time translations
🐥 Save words to your personal vocabulary list
🐥 Sing karaoke to practice pronunciation
🐥 Take quizzes on songs
🐥 Connect with others who are learning the same way

It’s still in the early MVP stages, but I would love to get your input on it.

And of course, any feedback or ideas for cool features you’d want to see would be incredibly valuable! 🙏

22
回复

@bengue_z Hi Ben, can I import songs, and please, do not score me on the pitch 😂

5
回复

@bengue_z This is such a smart way to learn languages. Music sticks in your head way longer than flashcards ever do. Real-time lyrics + karaoke feels like learning without realizing you’re studying 👏

Curious — which languages are you seeing the strongest engagement for so far?

0
回复

@bengue_z Love the origin story here. Starting from a simple singing video and turning it into a product feels very “internet-native.”

The karaoke + vocab saving combo is 🔥 — excited to see how this evolves beyond MVP.

2
回复

This is such a fun way to learn! Textbooks are boring, but lyrics stick. My biggest question with music apps is always licensing. Does Canary integrate with my existing Spotify/Apple Music account to play the tracks, or do you handle the licensing directly within the app?

5
回复

@liusally4 We don’t host or distribute music; we rely on official YouTube videos and build the learning experience around them. Licensing is something we’re being very intentional about as we scale.

3
回复

Hey Ben, I was once "warned" that we should be very careful to learn languages from songs (because lyrics can have a different/wrong sentence structure etc.) – how do you prevent this? :)

5
回复

@busmark_w_nika That’s true, you won’t learn 100% “perfect” grammar only from songs, and we’re not trying to turn lyrics into a grammar textbook.

We use music mainly as a memory and motivation layer: people remember words, expressions, and rhythms much better through songs than through lessons.

What most learners tell me they’re missing is pronunciation and confidence in speaking. The karaoke feature lets you actually practice saying the words out loud, not just recognizing them on a screen.

And we’re building a social layer on top of that, so native speakers can comment, correct, and help when something sounds off or isn’t natural.

5
回复

@busmark_w_nika I’ve heard the same warning too.
Not only can sentence structure be a bit “creative” in lyrics, but the stress and intonation can also be misleading when you try to map them directly to everyday speech.

0
回复

Canary frontend developer here 👋🏻

I’ll be honest - when I first joined the team as a developer, I didn’t fully understand this product. I was there to do the work.

Over time, though, it grew on me. My wife immediately connected with the idea though, saying how she could easily learn anything through music - and that’s when it clicked for me too.

I’ve always wanted to learn Spanish, and through Canary I’ve already picked up real words and phrases just by engaging with songs I actually enjoy.

That being said, I think Canary makes language learning fit into something people already do every day: listening to music.

I'm excited to see how Canary evolves

4
回复

@samuel_kings love to have you on board Samuel!

2
回复

Music was how I picked up half my Spanish (shoutout to old Shakira). Real-time lyrics + quizzes sounds fun. Curious how you handle song rights and accents in karaoke? I’ll give the beta a spin tonight. Could be great for my rusty French.

3
回复

@alexcloudstar hahah Love that yes Shakira is the best Spanish teacher.

On rights: we don’t host or distribute music files. We rely on YouTube videos for playback and build the learning experience (lyrics, quizzes, karaoke) around that, so we’re careful with licensing.

On accents: karaoke is currently about active practice, singing, recording yourself, and mimicking native cadence. We don’t score accents with AI yet, but pronunciation feedback is on our roadmap.


Hope you enjoy the beta! Let me know if you have any feedback!

0
回复

The karaoke feature is a genius hook. Singing forces you to mimic the native cadence. 🎤 Regarding the pronunciation practice: does the app just play the lyrics, or is there an AI scoring layer that listens to my voice and tells me if my accent is off?

3
回复

@yoang_loo Yesss that’s exactly how I see it, it’s way more fun to work on pronunciation by singing than by just repeating sentences.


And good call yes AI feedback is definitely on our roadmap. It’s a bit more challenging with singing recordings, but not impossible.

0
回复

Very cool @bengue_z . I am hoping to become fluent in Spanish this year and also play guitar and love music, so this seems like a great and super fun way to learn. I am going to sign up today. Will let you know my thoughts! =).

3
回复

@johnston please do! And I also want to learn spanish this year haha

2
回复

Love the concept! Singing has really helped my English and Cantonese, but I found traditional French learning a bit too serious. This cute app is exactly what I needed!

Just gave it a try—French songs are tough (I'm still stuck on 'Hélène' haha 🤣), but the karaoke mode with subtitles is super fun. Can't wait to master a song and record a video!

One small piece of feedback: The pronunciation for individual words doesn't sound fully native yet. I noticed this specifically with 'rêve' and 'histoire'. Hope this helps!

3
回复

@iwineday thank you so much for the feedback! That's what I need! We will work on working on those pronunciation

2
回复

Do you also offer some sort of gamification in the process of learning!

3
回复

@anishsharma Yes, but it’s something we need to do better.

Right now we have daily and weekly leaderboards based on song quizzes, plus badges for milestones. It's cool, but we know it needs to be more fun and engaging, and that’s something I want to focus on!

2
回复

That's a really great idea @bengue_z. I always thought learning another language the traditional way with textbooks was so boring. I honestly learned english through music + watching tv series with subtitles. I was wondering what is your source for the tunes? Is it pulling it from something like a Spotify API or others? Congrats on the product!

3
回复

@alexandr_cizek thank you! And yes we are using Youtube Api!

3
回复

Most language apps assume motivation comes from streaks or goals, but music already carries context, repetition, and feeling, which is usually how phrases actually stick in real life.

Great product team!

3
回复

@frank_li13 Thank you Frank! Appreciate it

3
回复

Sounds super cool and unique! I need to learn German this year, so bookmarking this one for sure =)

3
回复

@oleg_sobolev haha lucky you German is one of the 5 languages we started with!

2
回复

I like that this didn’t start as a startup idea, but as something people genuinely enjoyed. Those usually turn into the best products.

2
回复

@abod_rehman Thanks Abdul - yes hopefully it will turn into something people love using !

1
回复

can you import any song from YouTube or is there a limited selection? Also, will the app eventually give feedback on grammar in addition to pronunciation?

1
回复

@haiqa_irfan You can search any song on YouTube and import it directly in the app :)

For feedback: today we focus mainly on pronunciation through karaoke and repetition. Grammar feedback is on the roadmap tho!

0
回复

Love the concept. Using the 'earworm' effect for language retention is a brilliant niche. Do you use AI to categorize the lyrics by difficulty levels (A1-C2), or is the content manually curated?

0
回复
#2
Instruct 2.5
Connect apps, describe the job, then automate your work
280
一句话介绍:Instruct 2.5是一款通过自然语言描述任务,即可实时观察并指导AI代理跨应用(如Salesforce、Slack)自动执行,最终一键保存为可重复工作流的自动化工具,解决了传统低代码/无代码平台配置复杂、调试不直观的核心痛点。
Artificial Intelligence
自主AI代理 工作流自动化 无代码开发 企业级RPA 自然语言编程 执行优先 实时迭代 应用集成 SaaS连接器 智能办公
用户评论摘要:用户普遍赞赏其“执行优先”理念和直观的实时操作界面,认为它比n8n、Make等节点式工具更贴近人类思维。核心反馈是解决了传统自动化工具的复杂性和抽象性问题。主要建议/问题涉及对复杂系统权限(如Salesforce)的支持能力,以及期待更多具体应用场景案例。
AI 锐评

Instruct 2.5的发布,与其说是一次版本迭代,不如说是对当前“自动化”范式的一次激进修正。它精准地刺中了传统低代码/无代码平台(如n8n、Make)的阿喀琉斯之踵:用户被迫在抽象的流程图界面中进行“系统工程设计”,却无法在构建过程中获得即时、可视化的反馈。这种“构建-猜测-调试”的循环,将大量非技术用户拒之门外。

Instruct 2.5提出的“执行优先,自动化其次”哲学,本质上是将AI代理从“执行引擎”提升为“交互式协作者”。用户通过自然语言下达指令,并像监督实习生一样观看其逐步操作,在出现偏差时实时介入纠正。这种“所见即所得”的交互模式,极大地降低了认知负荷和心理门槛,将自动化从“工程项目”转变为“对话过程”。其“保存为工作流”的一键转换,则巧妙地将一次性的、探索性的代理任务,沉淀为结构化的、可重复的资产,完成了从灵感到生产的闭环。

然而,其真正的挑战在于规模化与可靠性。实时屏幕操作(或基于API的模拟)在演示中令人惊艳,但在处理企业级应用的复杂状态、异常弹窗和权限迷宫时,其鲁棒性尚待考验。评论中关于“Salesforce messy perms”的担忧正是此点。此外,将非结构化的自然语言对话可靠地转化为结构化的、边界清晰的工作流,本身就是一个巨大的工程与AI难题。产品目前展现的,更像是一个智能化的“宏录制”增强版,其长期价值取决于代理在复杂、长链条任务中的决策一致性,以及能否形成一个由用户成功工作流构成的、可复用的“技能库”。

总体而言,Instruct 2.5代表了自动化工具向“人本设计”和“具身智能”方向的重要演进。它未必能完全替代需要精密逻辑控制的高阶工作流,但它为占多数的、中等复杂度的日常办公自动化需求,提供了一条革命性的低摩擦路径。其成功与否,将取决于它能否在保持“简单魔法”般用户体验的同时,构筑起企业级应用所必需的坚固性与深度。

查看原始信息
Instruct 2.5
Instruct 2.5 replaces the complex "build loop" with immediate execution. It is an autonomous agent that navigates your apps to get real work done. What's new: ⚡ Watch it work: Describe a task and see the generalist agent execute it live across your stack (Salesforce, Slack, Gmail, etc). 🛠️ Iterate Live: Guide the outcome via chat or upload files to fix issues instantly as they happen. 💾 Save as Workflow: Turn any successful run into a permanent, recurring automation with one click.

Hey Product Hunt! 👋 Matt here, CEO and co-founder of Instruct!


Not long ago, we launched Instruct with a simple goal: to connect AI to the real work you do every day. The response was incredible, but your feedback highlighted a friction point we were desperate to fix.


If you’ve used tools like n8n or Make, you know the struggle. You have to think in "nodes," "webhooks," and "logic loops"—building a complex flowchart abstractly before you ever see it run. It feels more like systems engineering than automation.


Today, we are launching Instruct 2.5 and we’ve killed that loop.


With last week’s news of Meta acquiring Manus, the industry is finally waking up to the power of autonomous agents. It confirms what we've believed from day one: the future isn't manual workflow building, it's execution.


With Instruct 2.5, we are closing the gap between explaining what you want and watching it actually happen. Here is how the paradigm has shifted:


1. Execution First, Automation Second ⚡
Instead of dragging nodes around a canvas blindly, you start by giving Instruct a one-off task. You watch the agent execute it live across your connected apps (Salesforce, Slack, Gmail, etc.). You see exactly what it’s doing, step-by-step.


2. Iterate Live 🛠️
If the agent hits a snag or needs clarification, you solve it together in real-time. You don't have to restart the process; you just guide it. You can even upload files: spreadsheets, PDFs, docs, etc., for the agent to use immediately.


3. "Save as Workflow" 💾
Once the agent executes the task perfectly, you can turn that session into a reusable workflow with a single message. You aren't guessing if the automation will work—you know it works because you just watched it happen!


Fluent in every workflow


We designed Instruct to adapt to the logic of your specific team. You can ask it to:


Recruiting: "Review the latest applicants in our ATS. Flag anyone with 4+ years of Python experience and add them to the 'Shortlist'."


Sales: "Check HubSpot for stale leads. Research their recent company news on the web and draft a personalized follow-up."


Ops: "Find invoice PDFs in Gmail from this month. Extract the totals to my Expenses sheet and save to Drive."


We’ll be hanging out in the comments all day to answer your questions. 🚀


— Matt & the Instruct Team

14
回复

@mattfalconer Looks amazing, I’ve been using n8n for a while, but it always felt a bit heavy for simple stuff. This looks way more my speed.

5
回复

@mattfalconer “Describe a task and watch it execute” is exactly the direction automation should be going.

Feels much closer to how people actually think about work.

0
回复

@mattfalconer This is brilliant, Matt! The old node/webhook grind was always such a friction point for us—so stoked Instruct 2.5 fixes that. Execution first, then turn it into a workflow? That’s exactly how automation should work. Congrats on the launch, can’t wait to test it out!

0
回复

Hey Product hunt! I'm Alfie, CTO and co-founder of Instruct. We're incredibly excited to share how we've interlaced Instruct's ability to complete both one-off tasks, and comprehensive, repeatable workflows - please give the platform a go at https://instruct.ai and let us know what you think!

7
回复

We're back, Product Hunt! After our last launch, you told us what you wanted, and we listened. Today we're shipping a completely rebuilt Instruct that takes you from idea to working automation in a fraction of the time.

We can't wait to see what you build.

5
回复

Hey Product Hunt 👋 Super excited to share new version today. This version is a big step up. It is faster, more powerful, and feels way smoother to use. You can watch the agent work live, guide it in the moment, and save the result as a workflow. Would love to hear what you build with it.

5
回复

Hi Product Hunt!! ✌️

Instruct 2.5 is here and with it brings a brand new experience, all powered by your feedback (thanks to a successful launch back in October).

We've focused on making it easier to jump straight in with Tasks, describe what you want to achieve and Instruct executes it immediately, using your existing tool stack to get the job done. Iterate back and forth in a chat interface before eventually graduating each task to workflows, automations that run in the background so you can get back to the things that really deserve your attention.

We're so thrilled to be sharing this significant upgrade to Instruct, jump in at https://instruct.ai and let us know how you get on. 🫡

4
回复

I have tried google app script and google workspace studio for bit of automation in my work. but your tool made automation as easy as chatting with llm.

2
回复

@anishsharma that’s awesome to hear! We’re excited to make automation as easy as possible.

0
回复

Thank you,@anishsharma!  Love to hear that! And yes, we support Google apps, like Gmail, Google Sheets, and Drive. Eager to hear more about your use cases.

0
回复

I’ve tried quite a few AI workflow tools, and honestly, Instruct is the only one I found clear and easy for anyone to use. It actually delivers what most tools promise, without needing a full-onboarding course just to build a simple workflow. Great work, guys!

2
回复

Thanks a lot @elena_oglinda11! This is really great to hear :) 

0
回复

Been burned by "no-code agents" before, but watching it click around Slack/Gmail live is kinda wild. Love the chat-to-fix loop - feels closer to how I work. If it can handle my messy Salesforce perms and save that run as a workflow, I'm in for a spin.

1
回复

Thank you, @alexcloudstar . Salesforce perms are messy, but yes, Instruct can work with that. If you give it a spin and it hits a permissions wall, tell us what happened and we will help you get it working.

1
回复

I’ve always struggled with node-based tools, and this feels closer to how I actually think.

1
回复

Thank you @abod_rehman, that's great to hear! We're really trying to make Instruct as intuitive as possible so very glad that's resonating :)

Please let us know if you have any feedback for how we could improve even further!

0
回复

@abod_rehman thanks for your feedback! Yeah, node tools make us think like an engineer. Instruct lets you just say what you want, watch it run, and tweak it live. Let us know if you have any questions.

0
回复

Have been following your product roadmap - just curious what are the most frequent user scenarios with Instruct 2.5? Also it will be great to meet the team to discuss more in person in London!

1
回复

@cruise_chen Personally, I have a dozen workflows setup around Notion and Linear, but what makes use really excited is the sheer variety of what people do with Instruct: from daily web research to automating entire project management workflows; there's a real range!

If you're interested in meeting to discuss further, feel free to reach out to me or my cofounder Matt on Linkedin!

0
回复

When I first wired up a bunch of integrations in ChatGPT's Agent mode and managed to pull off something pretty impressive, I remember thinking: "I really wish I could run this repeatedly," and also, "The number of Agent-mode runs is pretty limited."

That exact feeling is part of why we built Giselle, and I think Instruct is offering a straightforward, solid solution to a pain point a lot of people share.

Execution First, Automation Second

This really resonates with me. We've taken a similar approach—start by executing with pre-built apps first, then customize afterward (with a no-code editing environment). So reading this definitely struck a chord.

Products like this are genuinely needed. Rooting for you all—excited to see where Instruct goes!

0
回复

@toyamarinyon thanks so much for this, that is exactly the problem we felt too. Love that "Execution First, Automation Second" resonates, and it sounds like Giselle is coming at it from a similar place.

1
回复
#3
2-b.ai
Todoist meets ChatGPT inside your browser
271
一句话介绍:一款浏览器原生的AI任务管理工具,通过“高亮即捕获”和AI规划执行功能,在用户浏览网页时无缝整合信息收集、任务拆解与执行,解决了在多个工具间频繁切换、丢失上下文的核心效率痛点。
Chrome Extensions Task Management Artificial Intelligence
AI生产力工具 浏览器扩展 任务管理 智能助手 工作流自动化 上下文捕获 目标拆解 人机交互 SaaS 效率软件
用户评论摘要:用户普遍认可其解决“Slack -> Todoist -> ChatGPT”工作流割裂痛点的价值,认为“高亮捕获”是亮点。主要关注点集中在:与具体工具(如Gmail/Notion)的集成深度、数据隐私保护机制,以及是否有更主动的防分心功能。期待其AI规划能力的具体表现。
AI 锐评

2-b.ai的野心不在于做一个更好的Todoist或更快的ChatGPT,而在于试图成为浏览器层面的“认知层”。其真正价值是**缩短从“信息感知”到“行动执行”的认知路径**。传统的“收集-整理-处理”流程被压缩为“高亮-规划”,这直击了知识工作者在碎片化信息流中的核心损耗:上下文切换成本。

产品逻辑犀利地抓住了“浏览器作为主战场”这一现实,但其挑战也同样明显。首先,其“AI规划”能力的深度和可靠性将是关键门槛。将模糊目标拆解为可信步骤,需要远超普通提示工程的领域理解,否则易沦为噱头。其次,作为浏览器扩展,其能力受限于网页环境的权限和可变结构,在复杂应用(如Notion、内部管理系统)中的稳定抓取与操作是一大工程难题。最后,其商业模式与数据隐私的平衡将备受审视。工具深度介入用户最核心的工作内容和习惯,信任是其生命线。

当前版本更像一个精巧的“触发器”而非完整的“智能体”。它的成功与否,取决于能否从“基于上下文的便捷任务创建”走向“基于上下文的可靠自主执行”。如果其AI能力仅停留在文本生成与简单拆解,它只是一个体验更好的缝合怪;若能基于对任务和上下文的深度理解,真正代理部分闭环操作(如依据邮件内容自动草拟回复并填入Gmail),它才可能成为新一代工作流的入口。团队需要证明的是其AI的“执行力”,而不仅仅是“建议力”。

查看原始信息
2-b.ai
What if your to-do list met ChatGPT directly in your browser? 2-b.ai combines the structure of a task manager (like Todoist) with the brain of an LLM (like ChatGPT). Highlight-to-Capture: Highlight text to turn it into tasks from any tab. AI Planning: Instantly break down goals into actionable steps. Chat to Execute: Ask the AI to help you finish your work.

Hey PH 👋

I’m Dongjin, co-founder of 2-b.ai. I love using structured tools like Todoist, and I love the intelligence of ChatGPT. But keeping them separate was killing my flow. I’d copy a task from Slack, paste it into my to-do list, and then open ChatGPT to ask for help drafting a reply. I wanted a tool where these two worlds collide.

So we built 2-b.ai.

It’s a browser-native layer that captures context like a highlighter and executes work like an AI agent.


The idea is simple:
Context-First: Highlight text on any page to create a task instantly.
AI-Powered: It automatically breaks down the task (Plan) and helps you write or research (Execute).
Basically, it’s Todoist meets ChatGPT inside your browser.

We’re curious to hear your thoughts: Do you prefer keeping your AI and To-Do list separate, or would you use a hybrid like this? Thanks for the support! 🚀

25
回复

@dong_jin_lee1 Congrats on your launch!!!

0
回复


Congrats on the launch, @dong_jin_lee1! The 'Context-First' approach really resonates. We spend so much time just moving information between tools (Slack -> Task Manager -> AI) that the actual work gets delayed. Having the AI 'live' right where the context is—in the browser—seems like the missing link for deep work. Excited to try this out!

0
回复

@dong_jin_lee1 looks super useful, thanks for creating this

2
回复

Hello World!

I'm Daehyun Kim, CTO of 2-b.ai. What I love most is building systems for life. Throughout my journey managing work, personal life, interests, and self-development, I've tried countless to-do lists. The insight I gained? To-do lists are the easiest tools to use, yet ironically, the easiest to let fall apart. At some point, you realize there are problems you're no longer tracking.

2-b.ai was created from this exact problem. Starting with the web, where we spend most of our time. That's why we built it to work right in your browser. Gmail, news sites, various AI tools. They all live in your web browser. Simply highlight text you want to focus on or archive, and turn it into a task. Tag your tasks and leverage AI prompting effortlessly. I guarantee your productivity will transform.

Feel free to reach out anytime if you have ideas or questions. If you run into any technical issues, I'll fix them ASAP. Thanks!

19
回复

Hi, I’m Haley, the COO and co-founder of 2-b.ai.

Our team first met on January 9, 2025, and almost a year later, today, we are finally launching our product.
Launching on Product Hunt has been a meaningful dream of mine ever since I started working in startups, and it feels special to finally check this off my wishlist.

I hope this helps people move on from being nomads of endless to-do lists.
I genuinely want everyone to work with more clarity and feel a little less overwhelmed.

If 2-b.ai can help even a little, that would mean a lot to us.

Wishing everyone a happy and productive 2026🥳
Thank you for being here.

14
回复

@gufidhlk Congrats!

2
回复

@gufidhlk I'm so proud of you

0
回复

Hey PH 👋 I’m toto, Backend Lead of 2-b.ai

As builders, we live in tabs—docs, Gmail, dashboards, threads. That’s exactly why we made a browser-native task layer. You highlight anything, it becomes a task with context attached, and AI turns it into concrete next steps.

If you run into bugs or have feature ideas, reply here—I’m monitoring and we’ll ship fixes quickly.

11
回复

@gufidhlk Congratulations. And happy product launch.

3
回复
@huisong_li Thank you so much for your support!
2
回复
Congratulations 🎉 Certainly trying it out to see how it supercharge my to-dos.
3
回复
@ishwarjha Thank you! Please try it out and let us know how was it!
2
回复

The product looks great guys! Actually useful. Also nice presentation. Best of luck with your launch!

2
回复

Thanks@th_calafatidis!
We’re happy to hear you find it useful:)

0
回复

Can it lead me throughout my workflow process (and restrict me from the websites that distract me from doing things)? :D e.g. I should write things in the Word and not to browse reels :D

2
回复

@busmark_w_nika 
Hi, Nika.
Great question!

We don’t block websites or lock you into an app in the traditional “distraction blocker” sense.

What we focus on is helping you keep the context of what you’re supposed to do.

A lot of distraction happens when you jump between tabs and forget the original task that brought you there.

With 2-b.ai, you can capture what you need to do directly from where the work lives (Docs, Word, emails, articles), turn it into a task, and break it down right there without opening more tabs or losing track.

Let me know if you have more questions :>

0
回复
@busmark_w_nika Tabai might help with that I think
0
回复
Congrats on the launch team! 🥂🎉
1
回复

@rbluena Thank u so much!! Rabil!

0
回复

It looks useful, worth trying. Great work🔥

1
回复

@arsen_diubua Thanks Arsen☺️

0
回复

love the simplicity!

1
回复

@zorzini Thank you so much for your support! Simplicity is the key for our UX.

0
回复

Feels like the right mashup. I’m always bouncing Slack -> Todoist -> ChatGPT and losing the thread. Highlight-to-capture is the hook. If it’s light and works in Gmail/Notion, I’m in. Curious how you handle privacy. Adding to my Monday try list.

1
回复

@alexcloudstar 
Thank your support, Alex! We love how you felt the same pain that we did!

FYI, we strongly encrypt the user's data in our DB to protect the privacy.

Would love to hear your thoughts if you try it out :)

1
回复

Huge congrats on the Product Hunt launch! 🚀 Love the vision here - this feels like the kind of tool that actually reduces mental load instead of adding more. Super excited to see how people use it. Wishing you a great launch day! 🙌

1
回复

@ashimanski 
Thank you so much, Artyom!
Reducing mental load was a big motivation for us.
Excited to see how people use it as well!

0
回复

Congrats on the launch. Turning highlighted text into actionable tasks feels super natural. Curious to see how AI planning + execution evolves here. Best of luck with the launch!

1
回复

@robbins23 Thanks Robbin!
Glad the highlight-to-task flow feels natural:)

0
回复
Congrats on the launch! 🎉 Really like the “to-do meets LLM inside the browser” approach — simple, focused, and practical. Reducing context switching is a big plus. Best of luck today
1
回复

@karan_sahani Thanks so much, Karan!

1
回复

This is really amazing. Are the lists backed up in the cloud?

1
回复

@chilarai 
Appreciate your interest!

Yes, everything is safely backed up in the cloud.

1
回复
Wow! was looking for something like this. Definitely trying it out.
1
回复

@shubhra_motgill Love hearing that❤️ Thanks Shubhra!

0
回复

I like the idea of context-first tasks. Half the time I forget why I added something to my to-do list.

1
回复

@abod_rehman 
Exactly! That loss of context is what we wanted to fix.

0
回复
How does your solution differ from other solutions?
1
回复

@danagoston 
Hi, Daniel! I'm COO of 2-b.ai.

Thanks for bringing this up. During ideation, we looked at a lot of existing tools.

But once we started building, we stopped trying to be different just for the sake of differentiation and focused on one thing we personally struggled with.

For us, the difference comes down to interaction and context.

We focused less on managing tasks and more on how tasks are created in the first place.

Highlighting text to create tasks and keeping that original context front and center is something we obsessed over.

That decision ended up shaping everything else.

0
回复

Congratulations on the launch 🎉 🎉

1
回复

@shubham_pratap Thanks so much, Shubham!

0
回复

I really hope this tool gets adopted in the real world as soon as possible.
Since I work in sales, I receive a large number of messages and contacts every day, which makes it hard for me to set clear priorities and often leaves me feeling overwhelmed.
It would be even better if the tool could go a step further—by directly assessing the importance of the tasks I need to handle and organizing them into a clear order of priority.
For people like me who tend to be a bit scatterbrained and constantly juggling things, this could be an incredibly powerful tool.
I’m really excited about its potential and can’t wait for it to be launched.

1
回复

Hi, olevida.

Prioritizing tasks based on importance is definitely one of the ideas we’re exploring!
If and when we introduce something along those lines, we’d be happy to share an update with you.

Thanks so much for the thoughtful feedback and for being excited about what we’re building.

0
回复

Hey team, Is the extention available in France?

When I click on downlad I get an error and can't add the extention?

1
回复

@laz_bnfy 

Sorry about the confusion.

At the moment, the extension isn’t available in EU countries, including France.

We’re still very early, and supporting EU distribution requires some additional setup on our side before Chrome allows us to ship there.
It’s something we’re actively working on, and France is definitely on our roadmap.

Once we’re approved by Chrome, we’ll be sure to share an update.

Thanks so much for your interest.

0
回复

Congrats on the launch! I like that this doesn’t try to replace everything at once, but instead lives directly in the browser where most work already happens. Does 2-b.ai. aim to reduce decision fatigue by auto-structuring tasks, or do users still stay very hands-on with how much the AI plans and executes?

0
回复

Congrats on the launch! I really like the idea of making tasks context-first instead of manually recreating them in another tool, highlighting straight from the page feels very natural.

0
回复

look great!!

0
回复

@madalina_barbu 
Thanks, Madalina!
Would love to hear your thoughts if you try it out.

0
回复

Wow something more automated with ai, love it. Looking forward to give it a try!

0
回复

@istiakahmad 
Thanks! Excited to hear what you think after trying it :)

0
回复
#4
Okara Reddit Agent
An agent that monitors, curates & writes authentic comments
220
一句话介绍:一款通过AI监控Reddit相关讨论、筛选高意向话题并辅助撰写真实评论的工具,帮助初创公司在Reddit社区中以提供价值而非硬广的方式,精准、高效地建立信任和获取用户。
Productivity reddit Marketing automation
Reddit营销 社区互动 AI助手 增长工具 口碑营销 内容创作 市场监测 初创公司推广 自动化工具 信任引擎
用户评论摘要:用户普遍认可产品“信任引擎”的定位与“人工介入”的设计,认为其能解决手动追踪的痛点。主要反馈集中在:担心滥用导致封号风险;希望明确高意向帖子的筛选逻辑;免费版功能限制应在引导前明确;并提出了界面优化和步骤提示等改进建议。
AI 锐评

Okara Reddit Agent 切入了一个微小但尖锐的痛点:在Reddit这个“反营销”的信任社区中,如何系统性地进行“合规”的自我推广。其真正的价值不在于“自动化评论”,而在于试图将一种依赖个人直觉和经验的“社区嗅觉”产品化——即识别“高意向对话”的算法能力。这本质上是在售卖一种“时机”和“语境”。

产品面临的悖论在于:其效用与风险一体两面。效率提升的同时,也可能降低用户精心打磨回复的耐心,一旦被批量使用,极易污染社区环境,触发平台反制。评论中关于封号的担忧正是此悖论的体现。团队强调“人工发布”和“提供价值”,是试图在工具效率与社区伦理间走钢丝。

长远看,其成功不取决于监控的广度或评论生成的“真实性”,而取决于算法对社区文化和对话语境的理解深度。若仅停留在关键词匹配和模板优化,它终将沦为更聪明的垃圾信息工具。若能真正进化成社区经理的“外脑”,帮助用户深度理解议题并做出贡献,则可能开辟一个细分但持久的市场。当前版本更像是一个“辅助搜索与草稿”工具,其宣称的“信任引擎”核心——价值判断能力——仍有待验证。

查看原始信息
Okara Reddit Agent
reddit is still one of the most underrated growth channels for early-stage startups, but it’s hard to do right. okara reddit agent monitors reddit 24/7 for keywords related to your product, finds threads where people are actively asking for solutions, and helps you write authentic comments you can post yourself.
Hey everyone, After spending years using Reddit to grow products (and slowly building up ~40k karma + aged accounts), one thing became very clear: reddit is not a promotion channel. It’s a trust engine. People come here to ask honest questions, compare options, and hear real experiences. Ads don’t work. Generic comments get ignored or downvoted. What does work is showing up in the right threads, early, and adding genuine value. The problem is doing that consistently is brutal. You have to manually track dozens of subreddits, refresh constantly, catch posts before they die, understand the context, and then write replies that don’t sound like marketing. Miss the timing and the opportunity is gone. That’s why we built Reddit Agent It continuously monitors Reddit for high-intent conversations (people asking for help, recommendations, or solutions), understands the context of each post, and helps you draft thoughtful, relevant comments you can post yourself. The team behind this has collectively worked on products that drove up to 100M+ organic visits, and Reddit was a big part of that growth. We wanted to turn what used to be a messy, manual process into something repeatable without breaking Reddit’s norms. This is still early, and we’re building it with feedback from people who actually care about doing Reddit the right way. Happy to answer questions. or get feedback from the community.
9
回复

@sahilypatel This framing of Reddit as a trust engine instead of a promo channel is spot on.

Love that the tool encourages posting value-first comments instead of auto-spamming.

0
回复
@sahilypatel congrats on this launch, wish you much success!
1
回复

@sahilypatel Reddit being a trust engine really resonates. Curious to see how people use this thoughtfully. Congrats on the launch

0
回复
This is a life-saver. We spend a lot of time tracing Reddit and LinkedIn for conversations about our problem space. I’m gonna give this a try right away. Congrats on the launch 🎉
6
回复

@prasad_pilla Thanks a lot 🙌

Would love to hear how it works for you once you try it.

0
回复

Wohoo! Congrats on the launch @sahilypatel and @fatima_rizwan !
I'd love to try this out and see how it goes! One small question: Does it ensure we don't get banned? Or using it on a mass level can get our account banned?

2
回复

great question. you can add custom instructions like “don’t include links, just mention the product name.” also, when commenting, focus on adding value and only promote where it’s relevant

0
回复

A Reddit agent can simplify a lot of work for DevRels like me, automating keyword tracking.

2
回复

@rohit_ghumare 100%. it tracks keywords, finds high-intent threads, and helps you draft high-converting comments

0
回复

I will definitely use this; however, I don't believe to use ALL ai to write my comments/posts. What might be a human-in-loop alternative method to using Okara?

2
回复

@peterz_shu you can just tell okara what you want to comment (or paste your own draft), and it’ll polish it for you

0
回复

Been yoyo-ing between Llama and Qwen lately. Being able to swap mid-chat without nuking context is sweet. Reddit/X search inside chat = nice touch. Big on the "don’t train on my data". The Reddit agent feels handy too, since it keeps me in the loop, not auto-spam.

1
回复

congrats!!

1
回复

@madalina_barbu thanks for your support!

0
回复

This looks extremely useful. I like the fact it keeps the human in the loop, while minimizing the tedious effort. Congrats on the launch!

A few questions I had while onboarding:

  1. It's asking me for a website of the product I want to promote, but if I don't have a website yet, can I just enter a description?

and some feedback based on my onboarding experience:

  1. It asked me: "Should I proceed with searching for information about your company?" But in the text box, it still said "Enter the website of the product .." which was confusing. Also a "Yes" or "Continue" button would've been a bit easier.

  2. I am up to the ninth question, and starting to fade. It might be good to tell me how many questions are part of the interview.

  3. I got to the end, and it told me: "Since you're on the Free plan, you'll need to upgrade to the Max or Founding plan to use the Reddit agent". I wish it would have told me that up front so I could have decided whether to invest my time in the onboarding.

  4. It's telling me: "The system will now monitor Reddit daily for discussions about voice assistants" but it's a bit contradictory, because above it told me that it won't work without upgrading the plan?

1
回复

@tleyden Thank you Traun, all of this is great feedback. I am working on improving all the UI and UX based feedback from your end. Would love to get you on the other side and use the product daily. :)

1
回复

Congrats on the launch! Turning something as messy and timing-sensitive as Reddit engagement into a repeatable system, without breaking community norms, feels genuinely hard and valuable. How does Reddit Agent decide which threads are truly high-intent versus just casual discussion or venting?

0
回复

Reddit is so hot right now! I built a simple N8N flow that does some of this, but interested to see how a full product can help!

0
回复

Definitely excited to try this!

0
回复

My main use case is transcribing YouTube videos to text to save time watching long content.

I haven't yet come across AI agents that can transcribe YouTube videos to text without issues, except for Grok.
It managed to do it once, but couldn't repeat the process with another video.

Can your solution reliably transcribe video to text without problems?

0
回复

@voxdecaelo Hi Vasily, this launch is around our Reddit Agent that helps you monitor, curate and write high converting threads on Reddit around your product. But our YouTube tool helps you transcribe any video, this is a free feature and you can test it out.

0
回复
#5
FakeMRR
The database of unverified startup revenues
189
一句话介绍:一款允许用户快速生成虚假月度经常性收入(MRR)增长曲线截图的应用,通过讽刺手法,满足了初创公司在社交媒体上塑造“成功”形象、对抗“冒名顶替综合征”的虚荣与焦虑需求。
Marketing SaaS
讽刺工具 SaaS恶搞 虚荣指标生成器 创业圈文化评论 营销素材 黑色幽默 概念产品 社交证明模拟
用户评论摘要:用户普遍视其为精准讽刺创业圈文化的幽默产品,认为其揭示了行业对截图和表面指标的迷恋。有效评论集中于讨论其喜剧与评论性双重价值,并询问其真实性。有用户提及类似产品,开发者回应此为致敬。
AI 锐评

FakeMRR 远非一个简单的恶搞工具,它是一面刻意扭曲的哈哈镜,尖锐地映射出初创生态系统中“表演式创业”的荒诞现实。其真正价值不在于生成截图的功能本身,而在于它以自我指涉的戏谑方式,完成了对科技圈,尤其是Product Hunt等平台内部文化的公开解构。

产品将“零验证”、“无限增长”等讽刺性功能作为卖点,直指创业叙事中数据造假、盲目追求增长曲线的痼疾。用户评论中“不舒服的准确”、“感觉被针对”等反馈,恰恰证明了其批判的精准性——它让沉浸于此种文化中的人们产生了认知失调。这并非在教唆欺诈,而是通过将潜规则工具化、仪式化,迫使观者直面其中的虚伪性。

更深层看,FakeMRR 巧妙地利用了“真产品做假事情”的矛盾张力。它作为一个功能完备的SaaS启动,本身就成了其讽刺对象的一部分,这种“置身事内的批判”比一篇评论文章更具穿透力。它提出的核心问题是:当制造“成功迹象”变得比构建真正业务更高效时,创业社区的信任与价值评估体系将走向何方?尽管它以幽默示人,但其内核是对行业虚荣指标的严肃拷问,是一次成功的文化黑客行为。其生命周期或许短暂,但作为一场社会实验,其引发的讨论已远超一个玩笑的范畴。

查看原始信息
FakeMRR
Real revenue takes time. Screenshots take seconds. Generate the viral MRR charts your startup deserves.
Finally, a SaaS for the rest of us. Let’s be honest: Generating actual revenue is hard. Generating a screenshot that looks like revenue? That should be easy. I built FakeMRR because I was tired of seeing gatekeeping on Product Hunt. Why should only people with "customers" and "business models" get all the clout? Features: ✅ 0% Verification: We trust you, bro. ✅ Infinite Growth: Why stop at $10k MRR? Type in $1M. Go crazy. ✅ The Backlink: A high-quality, artisanal link from a domain with zero authority. Bye bye, impostor syndrome. Hello, actual impostor. 👋
11
回复

@julienrenaux This is hilarious and uncomfortably accurate 😂

The satire actually makes a real point about how much screenshots and vanity metrics drive perception in startups.

0
回复

@julienrenaux Honestly, this feels like a mirror held up to the ecosystem.

Curious — was the goal more comedy, commentary, or both? Either way, it definitely got my attention.

2
回复

P.S. A little secret for the PH family... 🤫

We wanted to give you all a head start. Once you're on the dashboard, try entering the classic Konami Code.

It might just unlock 3 free credits for you to play around with. Enjoy! 🚀

0
回复

Is this a real launch or is it also fake? 😂

2
回复

@anton_tishchenko it is a real launch of a totally functional but fake SaaS

0
回复

lol this is… too real. Half my feed already posts these charts anyway. Leaning into the bit is kinda genius. I’m here for the leaderboard of the most unhinged “growth.” My impostor brain is terrified. also kinda curious.

1
回复

@alexcloudstar If half your feed is already posting these charts, that just means our stealth beta program was a massive success 🎉

1
回复

What makes FakeMRR land is that it’s clearly satire, but it’s poking at something very real: how screenshots and surface-level signals have become shorthand for “legitimacy. Great idea!

1
回复

@frank_li13 you got it :)

0
回复

I laughed, then I felt personally attacked 😄 Honestly, this perfectly captures PH energy sometimes.

1
回复

i didn`t understand if its a joke or not but its great
love the creativity (:

1
回复

@amit_wagner if you go watch the reviews on the front page you will understand. Though it is a 100% functional SaaS that makes great screenshot AND you have 3 free credits with konami code ^^

0
回复

Product of the year (so far)

1
回复

@jaythesong thanks it means a lot <3

0
回复

Hasn't @marclou created something similar?

1
回复

@marclou  @busmark_w_nika yes exactly, that's my tribute to his work :) And FakeMRR is now listed on TrustMRR 🎉 https://trustmrr.com/startup/fakemrr

2
回复

Congrats on the launch! It’s refreshing to see a product that doesn’t pretend the emperor is wearing clothes, especially in places obsessed with vanity metrics. Do you think humor like this can actually change how people judge products, or is it more about relief through honesty?

0
回复
Love the energy of this project! You’re already endorsed by Bernie Madoff and Elizabeth Holmes! I bet if you reach out to Sam Bankman-Fried’s team, you could secure an endorsement from him as well. I predict that getting SBF onboard will quadruple your MRR.
0
回复

@kilpatrick Great suggestion. We are indeed trying to pivot to a B2C model (Business to Cellblock). 🚀

1
回复

https://fake-mrr.com did it before!

0
回复

@thepalette that's far from the same. The French really know how to do satire though! thanks for sharing

0
回复
#6
Paper
A 200-page digital notebook for journaling and writing
133
一句话介绍:Paper是一款模拟真实纸质笔记本的极简写作应用,通过200页固定容量、翻页音效和视觉质感,在用户需要无压力自由书写、梳理思绪时,提供一种专注且富有仪式感的数字书写体验,解决了传统写作工具过于数字化、无限扩展所带来的焦虑感。
Writing Notes Meditation
数字笔记本 极简写作 专注工具 情绪设计 拟物化 书写仪式感 数字文具 心流记录 反生产力 小众软件
用户评论摘要:用户普遍赞赏其美学设计、拟真体验与创造的情绪价值。主要建议包括:增加手写字体以增强沉浸感、提供更多笔记本样式与字体/笔触选择、明确数据存储位置(云端/本地)。有用户质疑其相较于实体纸和Google Docs的不可替代性。
AI 锐评

Paper的产品逻辑,本质上是针对“过度工具化”和“无限选择焦虑”的一次数字叛逆。它提供的核心价值并非功能,而是一种精心设计的“限制”——用200页的边界对抗数字文档的无限滚动,用固定的笔记本形态对抗复杂的文件夹系统。这并非生产力工具,而是一件“数字情绪产品”。

其成功之处在于精准捕捉了当下用户对“数字极繁主义”的疲惫感。Notion、Heptabase等工具将知识管理变成一项工程,而Paper则试图回归书写最原始的治愈功能:不为整理,只为看见自己的想法。评论中“画不是为了看所见,而是为了能看见”的引用,恰恰点明了其内核:书写即思考的过程本身,工具应尽可能隐形。

然而,其风险也在于此。作为一款功能高度克制的情绪型产品,其用户群体注定是小众且感性的。评论中关于“为何不用真纸”的质疑,直指其核心矛盾:当拟真体验无法(也不必)完全替代实体触感时,其长期吸引力能否超越新鲜感?开发者的回应展现了清醒的定位:不追求取代,而是成为数字世界中的一个“情绪位面”。将未来方向规划为“数字文具店”,是明智的延伸,通过提供有限的可定制性(如不同笔触、纸张)来丰富情绪价值,而非堆砌功能。

Paper的出现是一个信号,表明软件市场正在从服务于“所有人的通用需求”,裂变为服务“特定人群的特定情绪”。它的对手不是Google Docs,而是数字环境中无处不在的干扰和压力。能否守住“反效率”的初心,并在商业上找到可持续的 niche,将是其真正的挑战。

查看原始信息
Paper
Paper is a realistic digital notebook made only for writing. No folders. No productivity systems. No infinite pages. You buy a notebook, give it a name, and start writing. Flip pages. Hear the sound. Feel the limit. It has 200 pages. When you fill them, that notebook is done. You can keep it, and start a new one. Paper exists to create a feeling — the feeling of sitting down and writing things out.
When there's a lot happening in my head, I sit down and start writing. No planning. No thinking. Whatever I hear inside, I write it down. And then it flows. I write every stupid thing that comes to mind. No censorship. No judgment. Just writing. And suddenly, I feel lightness, relief, and clarity. Once, a very smart person said: “The painter does not draw what they see, but they draw to see.” Something similar happens here. When I write, I read what's inside. For this kind of writing, none of the tools felt right. Notion, Docs, notes apps — they all felt too digital. I wanted something that feels physical. Something that slows me down and sets the mood. That’s why I created Paper — a writing app that looks and sounds like a real notebook. If this is how you like to write, I hope Paper feels right to you.
5
回复

@zikosichi  Hi Ziko, it's beautiful.

3
回复

@zikosichi this isn't meant to sound snarky, but is there a reason you don't want to actually put physical pen to physical paper?

0
回复

Seems like a lot of simpler/cleaner apps - page switchers, memory cleaners, and your notebook have appeared in the PH space recently despite the clutter of ai junk. What might push me (user) to step out of my google-docs comfort zone to use Paper instead of 'real paper'?

2
回复

@peterz_shu Hey Peter, you’re making some very good points. I use real paper quite often myself, but even more often I write on a computer. And because I love real paper—the experience of flipping pages, having limits, and actually touching something—that’s exactly what I felt was missing from Google Docs. For casual writing, I wanted something that feels closer to real paper. So the main thing that might encourage you to step away from Google Docs is the feeling that Paper can bring.

0
回复

The texture of this product is really interesting. Everything from the visuals and motion effects to the sound gives me a real sense of authenticity.

However, I think the note-taking style when writing could be improved. Could it be changed to a handwriting font? The current printed font breaks the sense of immersion a bit.

Also, I suddenly really want to view my e-books in this format on my computer or tablet!

1
回复

Beautifully crafted, I love this idea. Where are the notes saved - are they saved offline?

1
回复

@citizenvince They are stored in database so you can access them from anywhere.

1
回复

Love this. The tactile feel and the return of skeuomorphism really work here. I sense we'll be seeing more products like this going forward.

1
回复

@toyamarinyon Absolutely agree. We’re shifting from mass-market software to niche software — a smaller audience, but more creative.

I’m planning to add more notebook types and turn this place into a digital stationery.

1
回复
Love the scattered sunlight and cover colors. Would be great to switch desks and items on it 👏
1
回复

Does it support voice input? And are there different font options?

1
回复

@omnicanvas No voice input yet, but I’m considering adding more fonts. I’m thinking about offering different pens or pencils that come with their own fonts. What do you think?

Eventually, I’d love to turn this into a small digital stationery set, and maybe one of the products could be a “physical-like” voice recorder.

0
回复

I like this style because I am a super user for remarkable hand writingbook. This is simple and clean, hope you can add more features like fonts, categories, colors,...

0
回复
#7
LFM2.5
The next generation of on-device AI
132
一句话介绍:LFM2.5是一款部署在设备端的下一代AI模型,通过在资源受限的边缘设备(如AI PC、手机)上高效运行完整的文本、视觉、音频多模态AI栈,解决了用户对低延迟、高隐私性及离线AI能力的核心痛点。
Open Source Artificial Intelligence
边缘AI 设备端人工智能 多模态模型 模型优化 AI部署 低延迟 硬件协同 AI PC 轻量化模型 离线智能体
用户评论摘要:用户普遍肯定其设备端AI方向,认为与AMD在CES的合作是里程碑。关注点集中在实际部署:询问手机端运行可能、最低RAM要求及量化版本可用性,体现了对硬件兼容性与易用性的核心关切。
AI 锐评

LFM2.5的发布,与其说是一次单纯的模型迭代,不如说是Liquid AI在边缘AI战略棋盘上落下的一枚关键棋子。其真正的价值并非仅在于宣称的“8倍音频加速”或“1B参数容纳多模态”,而在于其精准卡位了即将爆发的“AI PC”与“混合式AI”产业浪潮。

从技术路径看,选择在1B参数规模内整合全模态能力,是一种务实的“边缘约束设计”。它放弃了与云端大模型在通用能力上正面交锋,转而追求在特定功耗和算力预算下的最优性能密度。这种思路是正确的,但挑战也同样明显:在如此紧缩的参数下,如何平衡多模态能力与各单项任务的表现?其“可靠性”究竟能达到何种水平?官方介绍语焉不详。

更值得玩味的是其与AMD、高通的NPU深度优化。这揭示了边缘AI当前阶段的本质:软件模型与硬件生态的强绑定。LFM2.5不仅仅是一个算法包,更是一个面向特定硬件平台的交付件。这种策略能确保初期在合作硬件上获得最佳体验,但也可能将其市场范围暂时限制在这些合作伙伴的生态内,形成一种“贵族化”的早期部署。

用户评论中关于手机端运行和量化版本的询问,恰恰击中了产品当前宣传的模糊地带。模型对“边缘”的定义是笔记本还是手机?其“最强大”的宣称是否以牺牲广泛的设备兼容性为代价?这反映出市场对“可及性”的迫切需求与厂商“展示尖端能力”之间的经典矛盾。

总而言之,LFM2.5的价值在于它清晰地勾勒了边缘AI的一个可行范式:为特定硬件平台深度定制轻量全栈模型。它的成败,将不取决于技术论文的指标,而取决于其能否从与巨头的合作演示台,真正下沉到万千异构、性能参差的终端设备中,并催生出必须依赖本地低延迟、高隐私保障的杀手级应用。否则,它可能只是又一个在技术狂欢节上炫技,却难以走入寻常百姓家的“概念车”。

查看原始信息
LFM2.5
LFM2.5 model family is Liquid AI's most capable release yet for edge AI deployment. It builds on the LFM2 device-optimized architecture and represents a significant leap forward in building reliable agents on the edge.

Hi everyone!

Been following Liquid AI for quite a while, and their unwavering commitment to on-device models has always been impressive. Seeing them launch LFM2.5 alongside AMD at CES feels like a definitive milestone, it perfectly integrates into the new wave of AI PCs.

Fitting a full modal stack (Text, Vision, Audio) into the 1B parameter range is a smart move for edge constraints. The 8x speedup in the Audio model is a significant improvement for latency, and the specific optimizations for AMD and Qualcomm NPUs show that this is built for actual hardware.

I really think 2026 is going to be the year on-device AI finally scales up.

2
回复

It's great to see on-device AI models. What are the minimum RAM requirements for LFM 2.5, and is it possible to run quantized versions?

1
回复

Any idea how well this would run on a phone? Would love to try it without needing a full laptop setup.

0
回复
#8
Forge CLI
Swarm agents optimize CUDA/Triton for any HF/PyTorch model
128
一句话介绍:Forge CLI通过并行运行的智能体群(Swarm Agents)自动为PyTorch或HuggingFace模型生成高度优化的GPU内核,在AI模型推理与训练场景中,解决了开发者手动优化CUDA/Triton内核难度大、耗时长的核心痛点。
Hardware Developer Tools Artificial Intelligence
AI代码优化 GPU加速 智能体群 模型编译 性能优化 开发者工具 CUDA Triton PyTorch HuggingFace
用户评论摘要:用户反馈高度集中在“智能体群”这一创新概念上,认为其代表了技术前沿趋势。评论普遍表达了对该技术方向的兴奋与认可,但目前暂无具体的功能性质疑或改进建议。
AI 锐评

Forge CLI将当下热门的“AI智能体”概念,精准地切入了一个高壁垒、高价值的专业领域:GPU内核优化。其宣称的“32个并行Coder+Judge智能体竞争”并非营销噱头,而是将大语言模型的代码生成与评判能力,系统性地工程化为一个自动化的优化搜索系统。这本质上是用AI的“暴力搜索”与“迭代进化”能力,挑战传统手工优化与编译器自动调优(如`torch.compile`)的天花板。

其真正的价值不在于“智能体”这个标签,而在于它可能将顶尖GPU工程师的优化经验与直觉,编码为智能体的评判准则与竞争机制,从而将专家级优化能力产品化、民主化。“对任何HF/PyTorch模型”的承诺,则瞄准了模型部署中碎片化、长尾化的优化需求痛点。敢于提出“不优于`torch.compile`则全额退款”,展现了团队对技术效果的强自信,这本身就是一个极具冲击力的市场宣言。

然而,挑战同样尖锐:97.6%的正确率在严苛的生产环境中意味着什么?优化过程的计算成本(由谁承担)是否可控?生成的复杂内核的可维护性与可调试性如何?它目前更像一个效果强劲的“黑盒”专家系统,其稳定性、泛化能力及与现有工具链的深度融合,将是决定其能否从技术演示走向生产核心的关键。如果成功,它预示的不仅是编译器的升级,更是开发范式的转变:从“编写代码”到“设定目标,由智能体竞赛性实现”。

查看原始信息
Forge CLI
Forge generates optimized GPU kernels from any PyTorch or HuggingFace model. 32 parallel Coder+Judge agents compete to find the fastest CUDA/Triton implementation. Up to 5× faster than torch.compile(mode='max-autotune') with 97.6% correctness. Enter HuggingFace model ID, get optimized kernels for every layer. Powered by optimized NVIDIA Nemotron 3 Nano 30B at 250k tokens/sec. "Full refund if we don't beat torch.compile"
2025 was the year of AI agents. 2026 will be the year of swarm agents. Forge is how we're starting it 32 agents competing in parallel to optimize your GPU kernels. Enter a HuggingFace model ID, get optimized CUDA/Triton for every layer. "Full refund if we don't beat torch.compile" Would love your feedback:D
11
回复
What a beautiful swarm agents 🤗
3
回复
#9
Ray
An AI trainer that plans + adapts your workouts in real-time
124
一句话介绍:Ray是一款AI健身教练应用,通过实时语音指导和计算机视觉计数,在家庭、旅行等碎片化场景中,为用户提供个性化、可动态调整的训练计划,解决了健身入门难和因日程多变难以坚持的痛点。
Health & Fitness Artificial Intelligence Fitness
AI健身教练 个性化训练 实时语音指导 计算机视觉 适应性训练 力量训练 习惯养成 健康科技 移动应用 行为设计
用户评论摘要:用户普遍赞扬其适应性、便捷性和降低决策疲劳,有效帮助建立习惯。主要问题集中在国际可用性不足(如英国、罗马尼亚、印度无法下载)和缺乏安卓版本。开发者回应安卓版已在规划,国际扩展因短信功能依赖美国通信系统而面临挑战。
AI 锐评

Ray并非又一个简单的健身视频库或计划列表器。它的真正价值在于将“服务设计”思维深度植入产品,构建了一个闭环的、拟人化的“决策-执行-反馈-调整”系统,从而精准打击了大众健身的核心障碍:决策疲劳与生活不可预测性。

大多数健身应用要么提供僵化的固定计划,要么提供海量选择将决策压力抛回用户。Ray的突破在于用AI承担了“私人教练”的核心智力劳动:基于目标、限制和实时反馈进行动态编程。这意味着用户从“计划执行者”转变为“状态提供者”,实现了认知卸载。其计算机视觉计数和实时语音指导,则将这种自动化从计划层延伸至执行层,创造了沉浸式的“被教练”体验。

用户评论中“关闭大脑”、“解决‘今天练什么’问题”等反馈,直接印证了这一价值的有效性。高留存数据(2次训练后通常进行10次)表明,它通过降低启动门槛和适应生活波动,成功嵌入了用户的生活节奏,这正是习惯养成产品的黄金指标。

然而,其深层挑战也已浮现。首先,重度依赖语音交互和短信提醒的模式,在国际化时将面临文化适配与通信基础设施的硬约束。其次,当前“新手友好”的定位获得验证,但向“专家流”拓展时,AI编程的复杂性和科学性将面临更严苛的考验。最后,其模式本质上是用标准化算法模拟个性化服务,如何避免用户新鲜感褪去后陷入重复模式,持续提供长期价值,是持续增长的关键。

Ray的启示在于,下一代健康科技的成功关键,或许不在于拥有更丰富的“内容”,而在于拥有更智能、更体贴的“上下文理解”与“决策代理”能力。它不再是一个工具,而是一个伙伴。但其未来的天花板,将取决于算法深度、科学严谨性与规模化个性化之间的平衡艺术。

查看原始信息
Ray
Meet Ray, your new personal trainer. You work with Ray like you'd work with a human trainer; tell Ray your goals, restrictions, or injuries, and it develops a custom plan for you. During workouts, Ray coaches you through every set with real-time voice guidance while computer vision counts your reps. And Ray adjusts on the fly. Short on time? Different equipment? Ray's got you. It's the flexibility of a personal trainer, available anytime, anywhere.

Hey Product Hunt! 👋

We created Ray because we wanted to make it easier (and less intimidating) for more people to exercise regularly.

Here's the thing: strength training is one of the best things you can do for your long-term health—but most fitness apps are built for people who already know what they're doing. We wanted to build a personal trainer for everyone else. Someone to guide you, adapt to you, and help you build better habits.

A bit about me: I've spent many years creating products and experiences for people at places like IDEO, Formlabs, and PillPack. At PillPack, we focused on helping people take their medications regularly. That experience taught me a lot about building products that help build healthy behaviors. Ray is the same mission, different habit.

Where we are today:
📱 Live for 8 months
⭐ 4.88 rating in the App Store
🏋️ Thousands of people trained
💪 Users rate our workouts 4.7 on average
🔁 If someone does 2 workouts, they usually do 10—that retention makes us incredibly proud

What makes Ray different:
🗣️ Talk to Ray like a trainer—set goals, mention injuries, change your workout mid-session
🎧 Real-time voice coaching guides you through every set
🧨 Dynamic Programming understands what you've been training and focuses on the right areas of your body
🎯 Programming focuses on strength training, light conditioning, & stretching
📷 Computer vision counts your reps on core exercises
⚡ Adjusts on the fly—short on time, different equipment, just tell Ray
🧠 Detects unfamiliar exercises and walks you through them
📲 Syncs with Apple Health to understand your other activities
💬 Text nudges to keep you consistent

We'd love your feedback:
Everyone trains differently. Ray is early in its journey, and right now, we have proven flows focused on helping newer users navigate fitness. And we're adding more expert flows and features soon. We'd love to hear how Ray could better adapt to your style—and where you'd like to see the product go.

Give Ray a try and let us know what you think!
Colin + the Ray team (7 of us in Cambridge, MA) 🚀

10
回复

@colin_raney Ray has taken over my fitness life. The only app I use every day. I am probably biased. But it’s completely changed how I exercise and increased the consistency. It’s not one feature. It’s all the service design touch points and how they come together to create a true personal trainer in an app.

2
回复

@colin_raney This actually feels like it solves the real fitness problem — decision fatigue. Love how adaptive the experience is instead of just throwing more workouts at users.

2.

0
回复

@colin_raney The real-time adjustments are impressive. Most apps break the moment life gets unpredictable — this feels built for that reality

Congrats on the launch

0
回复

As a working mom with a very full plate day-to-day, Ray has been a godsend...and it's shifted a persistent blocker in my brain around daily movement. I've found that fitting in a 20 minute workout when / where I can makes a world of difference in keeping me consistent—especially because I'm a recovering perfectionist and former "all or nothing" gym go-er, which had proven totally unsustainable for my current phase of life and evolving mindset around movement. I want to live a long and healthy life with strength and mobility at the forefront, and Ray has shown up as a true partner in helping me build new habits that support this mindset. Ray also takes real-time feedback well, if I have small notes to share about my experience after a workout. My daughter even joined me for a couple of sessions at home over the holidays, which was a lot of fun. :) Excited to keep it going in 2026, and to see how Ray continues to evolve.

3
回复

@jordan_bresler aww TY Jordan, appreciate you.

0
回复

This app solves the huge issue of “what do I do today”. I literally talk to it and in 30seconds I have a custom workout. I shut my brain off and let it do its thing.

2
回复

@jeff_ledell TBH, letting Ray make all the decisions is the best part!

0
回复

Congrats @colin_raney and team! I know Colin personally, but I’ve been using Ray on my own and it’s the first time I’ve been consistent and excited about home strength training. Feels like a trainer in your ear, works great with music, and love how it adapts to time, equipment, and anything else you throw at it. Excited to see it grow!

2
回复

@jeffvlahos thank you Jeff!

0
回复

Ray is the best! My partner and I have been using Ray for a few months now, and we love how versatile the workouts are, depending on what we need that day. Excited for what's to come in 2026!

2
回复

@charlotte_whalen Thank you Charlotte!

0
回复

Very excited about Ray!

2
回复

@iliya_valchanov thank you! 🙏

0
回复

Looks like a great app, however not yet available to download in the UK. Will it be coming here anytime soon?

1
回复

@joshh_founder Hopefully later this year? The main hurdle is that Ray does a lot over text, and we have to figure out what that means outside the US cell system

0
回复

Very Nice. Also loved the way website is designed. Any plans for an android ?

1
回复

@bekjon_ibragimov Thanks for the kind words. We definitely have Android on the road map. (My cofounder, Rich was one of the co-founders of Android...so it's got to happen 😉)

4
回复

I'd like to download it but I am unable to from Romania!

0
回复

Ray is AMAZING. Super simple to follow and the most important part, it fits my life. Yes, I know I should set up a schedule and follow it with discipline. But that is not how my life is at the moment. With Ray, I have been able to exercise at home when I couldn't run, at 11pm when I didn't have time during my day, in my hotel room when I was traveling, shortened my exercise time when it was too much. I love the text suggestions and facts that it drops every few days. Love that I can work out with my music and no equipment and there are other options when I do have equipment! I started with only 20 minutes 3 times a week and I can feel the difference. I would never have that flexbility with a trainer. Thanks Colin and team.

0
回复

I am at session 29 and I'm finally getting into a routine, the personalized voice experience really makes a difference.

0
回复

Ray has been such a game changer when it comes to staying consistent with workouts. There's no more fussiness when it comes to figuring out your workout and the tailored customizations creates a more joyous and personable experience. Love the friendly reminders and enjoy the "post-mortem" that lets you honestly reflect on how the workout was. As I look to lean more into weightlifting in 2026, I can't wait to have Ray as a sidekick in the gym!

0
回复

Ray is great, allows to customize workouts. I am recovering from an injury and Ray was able to tailor the workout to my specifications. I like how there are video looped to show proper form. Great work to the Ray team!

0
回复

It is not available in the Apple App Store for India. Any plans to make it available?

0
回复

@pravin_b_gadekar Hope so one day soon!

0
回复
#10
Habi
Turn your calendar events into habits
118
一句话介绍:Habi是一款将日历事件转化为习惯追踪工具的应用,通过在日程中直接附加待办清单,解决了用户因事项分散而遗忘准备物品或步骤的痛点,尤其适用于规律性活动场景。
Health & Fitness Productivity Calendar
习惯追踪 日历整合 待办清单 项目管理 番茄钟 家庭协作 个人效率 移动应用
用户评论摘要:用户赞赏其独特创意、家庭协作故事及视觉设计。主要反馈是期待Android和Mac版本。开发者回复称已在开发中,并透露品牌由妻子负责。另有用户受启发提出了衍生创意。
AI 锐评

Habi的核心理念“日历事件即习惯”看似微创新,实则触及了效率工具的一个关键断层:计划(日历)与执行(习惯/准备动作)的割裂。它没有创造新数据,而是充当了现有日程数据的“增强层”,通过附加轻量级清单,将抽象的日程转化为可操作、可追踪的具体步骤。这比通用习惯追踪器更场景化,比日历备注更结构化。

然而,其真正的护城河可能并非技术,而是其蕴含的“家庭协作”叙事与情感设计。创始故事揭示了真实痛点来源,使产品充满人情味,这在其品牌形象和用户评论中已获认可。但这也带来挑战:从“为女儿篮球练习准备物品”这一具体场景,扩展到更广泛的通用效率需求时,其价值主张能否持续锋利?项目管理和番茄钟功能的加入,显露出向主流效率工具靠拢的倾向,这可能模糊其最初“事件即习惯”的犀利焦点。

当前阶段,其优势在于切入点独特、用户体验聚焦。若想突破,需在深化日历生态整合(如与更多日历服务深度互通)与保持极致轻量化之间找到平衡。Android版本的缺失是明显的增长瓶颈。总体而言,Habi提供了一个有价值的“效率增强”思路,但其长期成功取决于能否在扩大功能范围的同时,坚守解决核心痛点的简洁性,避免沦为又一个功能杂糅的效率应用。

查看原始信息
Habi
Unlike other habit trackers, our app fully integrates with your calendar. You can link events such as gym sessions and attach checklists of things you need to do or bring. For example: - Take your sports glasses - Fill your water bottle - Bring your basketball shoes Turning calendar events into habits is something truly unique to our app. In addition to these unique features, we offer classic habit tracking, as well as alternative workflows through project creation and Pomodoro timers.
This is my first Vibe Coded App. I've been building it with my daughter and wifeThis app started with my daughter forgetting her water bottle again 😅 She would be ready for basketball practice and right as we were heading out the door something was missing. Sometimes it was her water bottle. Sometimes her sports eyewear. Sometimes even the right shoes. We tried reminders, notes, and habit trackers, but nothing really stuck because practice was already on the calendar while the things to remember lived somewhere else. So we followed the vibe and built a small solution together. What if calendar events were habits? What if basketball practice automatically came with a checklist like water bottle, sports glasses, and shoes every single time? What if we can share the same event on our different devices? That idea turned into "Habi - Habit Tracker". Now her practices show up with everything she needs and those small wins slowly became a real routine. Built with my wife and daughter and shipped through lots of trial and error. We’re still improving it every day and would love to hear what you think. If you like it, we’d really appreciate it if you downloaded the app and gave us a push 👋
7
回复

@sa6ry you designer is a master! Where did you find such a cure app hero?

0
回复

Great product! Just wondering if you have any plans for an Android version of the Habi app. Would love to try it.

1
回复

Thanks@vikingkarwur , We are working on Android & Native Mac version and should be released within the next months.

0
回复

Nice way to address habits tracking. Loved the identity and how it looks. Wish you all the best here Ahmed!

1
回复

Thanks@german_merlo1 , Shout out to my wife "Sarah Ragab" who is driving the branding https://www.habi.app/company

0
回复

I have an idea for a side product "hubby" – a calendar that remembers beautiful moments, anniversaries and much more with your love! :D People can make a habit from love.

1
回复

@busmark_w_nika Very nice idea! I’ve built something very similar to this. Through Habi - Habit Tracker -, users can link specific events like birthdays and anniversaries, attach reminders and checklists, share these events with friends and family, and even have them displayed on their homepage as widgets.

1
回复
#11
HueBuddy
AI-Powered Paint Mixing Tool for Artists & Art Students
103
一句话介绍:HueBuddy是一款AI驱动的实体颜料混合工具,艺术家或艺术学生通过上传照片,即可获得基于真实物理颜料的精确混合配方,解决了他们在传统调色过程中依赖经验、试错成本高且难以精准复现理想色彩的痛点。
iOS Art Vibe coding
AI工具 艺术科技 颜料混合 色彩匹配 实用工具 艺术教育 创意生产力 实体媒介数字化
用户评论摘要:开发者自述产品源于妻子(艺术家)的实际需求,验证了真实痛点。用户肯定其解决复杂色彩匹配的创意,并明确询问核心功能(生成实体颜料清单)。开发者确认支持导出调色板用于实际绘画,揭示了产品连接数字与物理世界的核心价值。
AI 锐评

HueBuddy看似是一个精巧的“配色方案生成器”,但其真正的锋芒在于它选择了“物理颜料”这个狭窄却坚硬的赛道。它没有停留在给出一个Pantone色号或RGB值——这对画家毫无用处——而是试图解决从数字灵感(照片)到实体媒介(管装颜料)之间那道令人头疼的鸿沟。这才是其宣称的“AI赋能”的核心:不是生成艺术,而是解构艺术,成为现实世界创作流程的“逆向工程”工具。

然而,其面临的挑战同样尖锐。首先,准确性是生命线。颜料品牌、基底材质、干燥变化等因素都会影响最终色效,其算法模型需要海量、专业的实测数据喂养,这对初创项目是巨大壁垒。其次,实用性边界待考。它更适合丙烯、油画等覆盖力强的媒介,而对水彩的透明度、国画颜料的特性可能束手无策。评论中“导出调色板”的回应,揭示了它当前更偏向一个“智能配方卡”,尚未与颜料购买、库存管理、品牌适配等更深层的 workflow 集成。

它的价值不在于技术多颠覆,而在于切入点足够具体和“不数字化”。它承认并尊重实体创作的混沌性与物质性,试图用数字工具为其建立秩序,这是一种务实的“增强”而非“取代”的思路。若其能持续迭代,与主流颜料品牌建立数据合作,甚至切入艺术教育或材料电商,方能在“AI绘画”洪流中,守住自己独特的、服务于现实创作的堡垒。目前,它是一个值得关注的最小化可行产品(MVP),其发展取决于团队对艺术家工作流理解的深度,而非单纯的技术精度。

查看原始信息
HueBuddy
HueBuddy helps artists mix paint with confidence. Upload a photo and get precise, paint mixing recipes using real, physical pigments - not digital colour values.
Hey Product Hunters, thanks for checking my launch. Quick backstory - I wanted to learn Cursor, asked my wife for an app idea, and this was something she actually wanted to use as an artist. HueBuddy is currently free, already has daily users, and we’re shipping new features every month!
3
回复
Colour matching can be so complex, this seems like a smart idea
0
回复

So will this give me a list of paints to mix for my custom palettes?

0
回复

@emiru84 Yes exactly! You can export the palette and use it to mix your paints in real life.

0
回复
Hey Daren, love that this came from your wife actually needing it. What was she struggling with as an artist that made her want this?
0
回复

@vouchy Thanks! She wanted the ability to quickly capture her palette mixing recipes by taking a photo of her artwork or mixing palette.

0
回复
#12
Pillzy
Medication, Vitamin & Supplement Reminder
99
一句话介绍:Pillzy是一款通过智能提醒、灵活规划和清晰记录,帮助用户在日常生活忙碌中按时服用药物、维生素和补充剂的健康管理应用,解决了因遗忘或计划混乱导致的漏服问题。
Calendar Medical Health
用药提醒 健康管理 药物追踪 补充剂管理 个人健康 医疗辅助 习惯养成 看护共享 依从性分析 健康科技
用户评论摘要:用户普遍认可其解决真实痛点的价值,认为现有应用大多笨重复杂。具体反馈包括:赞赏其从提醒转向“规划与问责”的设计理念;有用户提出宠物用药需求;也有用户自我反思漏服行为,表示需要此应用。
AI 锐评

Pillzy看似切入了一个拥挤的“用药提醒”赛道,但其产品演进路径揭示了更深层的洞察:它并非止步于又一个通知工具,而是试图成为个人健康依从性的“行为矫正中枢”。其核心价值转移体现在三层:从被动“提醒”到主动“规划”,通过日历视图赋予用户前瞻性控制感;从单一“警报”到双向“问责”,用“已服/跳过”的简单记录构建反馈闭环,直面健康管理中的意图与行动落差;从“私人日志”到“协作网络”,通过可分享报告打通个人健康管理与专业医疗或家庭看护的断层。

然而,其真正的挑战与天花板也在于此。在功能层面,它与iOS“健康”等原生应用及药房附送服务的差异化护城河仍需加固,尤其在数据深度(如与电子处方、药量库存联动)和智能性上(如基于作息的学习式提醒)。在商业模式上,面向普通消费者(维生素管理)与严肃医疗患者(长期服药)的需求频谱极宽,产品定位的模糊可能使其两面受敌:前者付费意愿低,后者对可靠性、合规性要求极高。用户评论中提及的“宠物用药”场景,意外揭示了其底层逻辑(定时任务管理)可横向扩展,但这可能分散其核心医疗可信度的建设。

总而言之,Pillzy的价值不在于功能罗列,而在于它试图系统性地解决“健康依从性”这一复杂行为问题。它的成功将不取决于通知是否准时,而在于能否成为连接个人每日习惯与长期健康成果的信任纽带,并在此过程中找到自己不可替代的生态位。

查看原始信息
Pillzy
Stay on track with your health! Pillzy is your complete medicine tracker app for medications, vitamins, and supplements. Smart reminders, flexible scheduling, and clear history tracking help you never miss a dose.
Pillzy app came from a simple but common problem: people forget to take their medication, not because they don’t care, but because life gets busy. I saw how missed doses affected outcomes; especially for people managing long-term conditions, taking multiple medications, or supporting family members. Even vitamins and supplements, which seem “optional,” were often taken inconsistently. What stood out was that many existing solutions felt either too clinical or too complicated. People didn’t need another complex medical system, they needed something reliable, simple, and human. The core problem wasn’t just forgetting pills. It was: Lack of clear planning (daily, weekly, monthly) No easy way to track adherence (taken vs skipped) Poor visibility into patterns and consistency No simple way to share reports with doctors or caregivers Running out of medicine with no refill reminder This led to stress, missed treatments, and poor health outcomes; especially for users managing multiple pills, supplements, vitamins, or injections. I started with one goal: make reminders dependable. Early versions focused purely on alerts. But as I tested and refined the app, it became clear that reminders alone weren’t enough. The process evolved in three key ways: From reminders to planning I added calendar view so users could see their treatment, not just react to notifications. From alerts to accountability Tracking whether a dose was taken or skipped unlocked adherence insights. This shifted the app from a reminder tool into a health companion. From personal use to shared care Exportable reports became essential. Users wanted to share progress with doctors, family members, or caregivers without friction. Throughout the launch process, I kept removing friction, simplifying flows, and prioritizing clarity. Every feature had to answer one question: Does this make it easier for someone to take care of their health?
1
回复

@magdaline_mbugua Genius solution to a real problem! Most pill trackers are way too clunky. I’ve let my Move Free and DHA sit unused for months. Pillzy’s focus on planning and accountability is perfect. Well done!

0
回复

I am going to check this out Magdaline! I need this for my dog more than myself, haha. I have to do it twice a day for her and I am always forgetting one of them. =).

0
回复

@johnston  Hahha, please check it out and feel free to share your feedback.

0
回复

Not me seeing this and immediately realizing how many doses I’ve “intentionally forgotten” 👀
Yeah, I need this.

Congrats on the launch @Pillzy @magdaline_mbugua

0
回复

@rashiaroraofficial , Thank you! Please check it out and feel free to share your feedback.

0
回复
#13
PDF Generator in ChatGPT
Latex to PDF app in ChatGPT App store via Apps SDK
95
一句话介绍:这是一款集成在ChatGPT应用商店内的LaTeX转PDF工具,允许用户通过对话或内置编辑器直接创建包含数学公式和图表的专业PDF文档,解决了教育工作者等用户需手动编译代码、无法在聊天环境中一键生成格式化文档的痛点。
Productivity Education
PDF生成工具 LaTeX编辑器 教育科技 ChatGPT应用 数学公式渲染 文档自动化 聊天机器人集成 工作效率工具
用户评论摘要:用户反馈积极,核心认可其解决了从ChatGPT获取LaTeX代码后需手动编译的繁琐流程,特别满足了教育工作者快速创建个性化数学作业的需求。同时有用户询问API接口,表明存在集成与扩展的商业需求。
AI 锐评

这款产品本质上是一个“场景化封装器”,其真正的价值不在于技术突破,而在于精准地捕捉并缝合了一个新兴生态中的断层。ChatGPT能生成精准的LaTeX代码,但对于绝大多数非技术用户(如教师),代码只是一串无意义的字符,从代码到可用的PDF之间仍存在令人却步的“最后一公里”。该应用通过内置编译和渲染引擎,将这“最后一公里”缩短为“一键点击”,将ChatGPT从一个“代码建议者”升级为“成品交付者”。

其犀利之处在于对ChatGPT应用商店生态的深刻理解:它并非独立应用,而是ChatGPT核心能力的“增强模组”。这预示了未来AI应用商店的一个重要方向——提供“垂直场景的闭环解决方案”。然而,其深层挑战也在于此:其生存完全依附于ChatGPT的平台生态,功能边界受限于OpenAI的API能力。用户询问API,恰恰暴露了其作为平台内嵌工具的局限性。一旦ChatGPT原生支持PDF导出,或出现更强大的竞品,其护城河将瞬间瓦解。因此,它的成功是敏捷抓住时间窗口的胜利,但长期价值必须向两端拓展:向上游深耕更智能的模板与交互设计,向下游建立独立的用户社群和跨平台能力,否则恐难逃成为平台功能更新牺牲品的命运。

查看原始信息
PDF Generator in ChatGPT
Create professional PDFs with math notation and graphs directly in ChatGPT. Edit conversationally or using the built-in LaTeX editor before downloading.
ChatGPT now allows people to create apps for their app store using their apps SDK. As an education company, we want to make math worksheets for our students, but chatGPT only kept giving us latex code had to copy paste. Now with this app, it compiles and renders the pdf in chat! All of our teachers can now create personalized homework with proper math formatting and graphs within seconds.
8
回复

@apulkit6 Sounds Great, looks more convenience.

0
回复
Very cool use case, excited to see the ChatGPT store go live!
0
回复
Really interesting - is there an API for this?
0
回复
#14
Fundraising Readiness
Check how ready your startup is to raise capital
95
一句话介绍:一款免费的2分钟在线测验工具,帮助初创公司创始人在启动融资前,系统评估自身在业务数据、清晰度、时机和策略等方面的准备程度,解决因盲目启动融资而效率低下或过早被拒的痛点。
Productivity SaaS Fundraising
创业工具 融资准备 创始人自测 商业评估 初创企业 SaaS 风险投资 业务诊断 免费工具 产品测评
用户评论摘要:用户肯定产品是“急需的现实检查”,认为简单有效。主要反馈集中在两点:一是询问评分逻辑是否会因B2B/B2C模式差异而调整;二是对输入敏感数据的隐私安全(本地处理或匿名化)表示关切。
AI 锐评

Fundraising Readiness Quiz 精准切入了一个高频的创始人焦虑点——“我到底该不该融资?”。其真正价值并非在于提供一个绝对正确的“分数”,而在于强行建立了一个最低限度的“融资纪律”思考框架。它迫使创始人必须直面“牵引力、清晰度、指标、时机、策略”这几个关键维度,将模糊的自我感觉转化为具象化的选择题,这是一种低成本的风险对冲。

然而,其深层局限性同样明显。首先,其“普适性”逻辑与融资市场的“特异性”要求存在根本矛盾。正如评论所指,B2B SaaS与B2C消费应用的牵引力指标天差地别,一套标准化问卷能否给出真正有指导意义的“下一步”,值得怀疑。它可能准确识别出“完全没准备好”的极端情况,但对于“中间状态”的判别力可能不足。其次,产品的核心价值高度依赖于问题设计的专业性与动态更新能力。融资市场的风向、投资者偏好的细微变化,都需要问卷快速迭代,否则极易沦为一种“心理安慰剂”。

本质上,这是一款“元工具”——它不直接提供融资渠道或方案,而是试图优化创始人启动融资这一决策本身的质量。它的成功不取决于算法多精密,而在于其问题能否成为创始人与合伙人、顾问之间进行理性对话的“检查清单”。如果它能促使更多团队在烧时间制作PPT前先内部达成共识,其社会效益就已远超工具本身。但若创始人仅将其视为一个能给出“绿灯”的通行证,则完全误解了它的初衷,也暴露了产品在引导用户认知上的潜在风险。

查看原始信息
Fundraising Readiness
Fundraise Readiness Quiz is a free, 2-minute tool that helps founders understand whether they’re actually ready to raise capital. It walks you through key questions around traction, clarity, metrics, timing, and fundraising strategy, then gives you a simple readiness score with practical next steps. Most founders rush into fundraising too early or without clarity. This tool is designed to give you an honest signal before you start pitching investors.
Hey Product Hunt 👋 Over the years, many founders have asked us the same question: “Are we actually ready to raise capital?” We built the Fundraise Readiness Quiz after seeing how often founders jump into fundraising too early or without clear signals. This is a simple, free tool that helps you quickly assess whether you’re ready to raise and what might be missing before you talk to investors. No sign-up required. Just answer a few questions and get clarity. Would love feedback from founders who are fundraising or planning to raise soon 🙌
2
回复

This is a much-needed reality check for many founders. 'Too early' is the most common rejection reason I see. 📉 Quick question on the scoring logic: Does the quiz differentiate benchmarks between B2B SaaS and B2C Consumer apps, since the traction metrics expected are vastly different?

2
回复

Simple and effective. I gave it a spin and the questions are spot on. Since we are inputting potentially sensitive data about traction and metrics, can you confirm that the data is processed locally or anonymized, and not stored for any other purposes?

1
回复

@liusally4 Is this AI written?

0
回复

@liusally4 wait i want to know this too

0
回复
#15
Camera M 9
Pro manual camera app for iPhone and iPad
94
一句话介绍:Camera M是一款为iPhone和iPad设计的专业手动相机应用,通过提供类单反的手动控制功能,在专业摄影、RAW拍摄及人像等场景下,帮助用户以最高质量捕捉精美照片,解决了移动设备摄影控制力不足的痛点。
Photography Apple Photo & Video
专业相机应用 手动控制 RAW摄影 人像模式 微距摄影 移动摄影 iOS应用 摄影工具 画质提升 单反体验
用户评论摘要:用户(作为兼职内容创作者)提出了一个具体痛点:当手机固定在三脚架上并前置拍摄时,无法实时监看构图画面。该评论是一个明确的功能建议,希望应用能解决此场景下的监看难题。
AI 锐评

Camera M精准切入了一个看似小众却持续存在的市场:追求极致控制与画质的移动摄影专业用户。其价值主张清晰——做专一的“手动控制”,专注于RAW、ProRAW、微距和人像,这避开了与内置相机或全能型修图应用的正面竞争,转而服务于那些将iPhone视为严肃创作工具的用户。

然而,其面临的挑战同样明显。首先,专业手动功能门槛高,与移动摄影“便捷性”的底层逻辑存在一定冲突,市场天花板可能有限。其次,一条高赞评论暴露了产品在真实创作场景中的洞察缺口:用户不仅需要参数控制,更需要解决诸如“离机监看”等实际工作流痛点。这反映出,即便是专业工具,若不能融入完整的创作生态(如多设备协同、监看解决方案),其专业性便是不完整的。

犀利点在于,Camera M宣称“专精一事”,但当前定义的“一事”似乎仍局限于“拍摄参数面板”的数字化。真正的专业,应涵盖从准备、拍摄到监看的全链条体验。若能借鉴专业影视领域的监看方案(例如通过无线网络实现第二屏幕预览),回应用户这一强烈需求,它将从一款优秀的“控制软件”升级为不可或缺的“创作系统”。否则,它可能仅止步于参数爱好者的玩具,而非内容创者的生产力革命。

查看原始信息
Camera M 9
Camera M is a professional and modern manual camera designed to do one thing exceptionally well — to help you capture beautiful photos in the highest possible quality with manual camera controls akin to a DSLR. Specializing in RAW, ProRAW, macro, and portrait photography, it is the best camera app for your iPhone or iPad.

Something I struggle with as a part-time content creator is that when I put my phone on a tripod to film myself, The phone screen is facing the other way so I can't see if I'm where I wanna be in the camera frame. Could you make camera M be able to solve this? I have not seen anything able to do so yet

1
回复
#16
Plano
Build agents faster, and deliver them reliably to production
88
一句话介绍:Plano是一款AI智能体应用交付基础设施,通过提供统一的AI原生代理和数据平面,解决了开发者在将智能体应用安全、可靠、重复地部署到生产环境时面临的编排、护栏、观测等“隐藏中间件”难题。
Open Source Developer Tools Artificial Intelligence GitHub
AI智能体基础设施 代理服务器 应用交付 智能体编排 AI安全护栏 可观测性 模型路由 生产部署 中间件标准化
用户评论摘要:创始人阐述了产品解决“演示易、生产难”的核心痛点。有用户询问其与竞品(如Superagents)的定位差异,官方回复澄清Plano是底层基础设施,而竞品是其上层的应用实现。
AI 锐评

Plano的野心不在于成为又一个AI智能体框架,而在于成为智能体时代的“Envoy Proxy”。它敏锐地戳中了当前AI应用开发,特别是智能体浪潮中的一个核心矛盾:原型验证的敏捷性与生产部署的复杂性严重不匹配。开发者往往在快速搭建Demo后,便陷入重复构建“隐藏AI中间件”的泥潭——包括但不限于智能体路由编排、安全护栏钩子、评估追踪链路以及多模型切换的胶水代码。

Plano的真正价值在于其“解耦”与“集中化”的设计哲学。它将智能体的核心业务逻辑与跨切面的交付关注点分离,试图将后者标准化为一个独立的数据平面。这带来了几个潜在优势:一是让开发团队能更专注于智能体本身的“智力”提升;二是为工程团队提供了统一实施安全、合规和运维策略的控制点;三是可能加速产品迭代,因为观测、评估和路由策略的调整可以独立于应用代码进行。

然而,其挑战也同样明显。首先,作为底层基础设施,其价值与生态绑定深度正相关,需要说服众多框架和平台的开发者采纳其标准。其次,在智能体技术栈尚未完全定型的当下,过早进行“标准化”是否可能限制上层创新的灵活性?最后,从“另一个需要运维的中间件”到“不可或缺的交付基石”,其运维复杂性与带来的便利性之间的平衡,将是决定其能否被广泛采用的关键。

总体而言,Plano切入了一个真实且正在扩大的需求缺口。如果它能成功建立智能体应用与LLM等基础设施之间的“标准协议层”,其想象空间将远超一个单纯的代理工具,有望成为未来AI原生架构中的关键组件。但这条路注定需要强大的生态构建和开发者说服能力。

查看原始信息
Plano
Plano is delivery infrastructure for agentic apps. An AI-native proxy and dataplane that centralizes functionality that shouldn’t be bespoke in every codebase. For e.g. agent routing & orchestration, guardrail hooks, learning signals/traces, and smart routing APIs across LLMs. Use any AI framework, and ship agents to production faster. With Plano, developers stay focused on core product logic of agents. Product teams learn faster, and engineering teams standardize policies across agents.

Maker here 👋 We built Plano, because building agentic demos was easy, but delivering agentic apps safely, reliably, and repeatably to production is very hard. Plano is delivery infrastructure for agentic apps - an AI-native proxy server and data plane designed to help you build agents faster, and deliver them reliably to prod.

The reality of most agentic development is that after a quick hack, you end up building or maintaining the “hidden AI middleware” to reach production: routing logic to reach the right agent, guardrail hooks for safety and moderation, evaluation and observability glue for continuous learning, and model/provider quirks — scattered across frameworks and application code.


Plano solves this by moving core delivery concerns into a unified, out-of-process dataplane. Core capabilities:

  • 🚦 Orchestration: Low-latency orchestration between agents, and add new agents without changing app code. When routing lives inside app code, it becomes hard to evolve and easy to duplicate. Moving orchestration into a centrally managed dataplane lets you change strategies without touching your agents, improving performance and reducing maintenance burden while avoiding tight coupling.

  • 🛡️ Guardrails & Memory Hooks: Apply jailbreak protection, content policies, and context workflows (e.g., rewriting, retrieval, redaction) once via Filter Chains at the dataplane. Instead of re-implementing these in every agentic service, you get centralized governance, reduced code duplication, and consistent behavior across your stack.

  • 🔗 Model Agility: Route by model, alias (semantic names), or automatically via preferences so agents stay decoupled from specific providers. Swap or add models without refactoring prompts, tool-calling, or streaming handlers throughout your codebase by using Plano’s smart routing and unified API.

  • 🕵 Agentic Signals™: Zero-code capture of behavior signals, traces, and metrics consistently across every agent. Rather than stitching together logging and metrics per framework, Plano surfaces traces, token usage, and learning signals in one place so you can iterate safely.

Built by core contributors to the widely adopted Envoy Proxy <https://www.envoyproxy.io/>_, Plano gives you a production‑grade foundation for agentic applications. It helps developers stay focused on the core logic of their agents, helps product teams shorten feedback loops for learning, and helps engineering teams standardize policy across agents and LLMs. Plano is grounded in open protocols (de facto: OpenAI‑style v1/responses, de jure: MCP) and proven patterns like sidecar deployments, so it plugs in cleanly while remaining robust, scalable, and flexible.

Would love feedback from folks shipping agents in production: what’s the most painful bit of middleware you’ve had to rebuild (routing, safety, traces, state, tool glue, eval loops)?

4
回复

Cool Demonstration, Is this more on the safe-and-reliable side of agents, with similarities to superagents by clickup? I'm sure you saw their launch, what's Plano's strenght against that?

2
回复

@peterz_shu thanks for the comment. Super agents is an actual implementation that would use something like Plano underneath the covers to power that experience. Super agents is an application of Plano if that makes sense

1
回复
#17
Flowtask
Your AI Ops Manager
88
一句话介绍:FlowTask是一款面向营销代理机构的AI运营管理助手,通过连接Gmail并自动解读客户邮件,在Asana等项目管理工具中自动创建、分配任务并更新看板,解决了机构在客户沟通与任务协调中耗费大量手动操作时间的核心痛点。
Productivity Task Management Artificial Intelligence
AI办公自动化 智能任务管理 代理机构效率工具 邮件智能处理 人机协同 SaaS 流程自动化 生产力工具 系统执行者 运营管理
用户评论摘要:用户反馈集中在产品实际运作机制上,核心关注AI出错时的处理方案。创始人详细解释了“人在回路”的编辑审核模式,用户亦提出对模糊邮件、多项目冲突等边缘案例处理能力的关切。
AI 锐评

FlowTask的定位“系统执行者”比传统的“系统记录者”更具进攻性,它试图切入的是工作流中价值最低但无法回避的“翻译”环节——将非结构化的邮件语言转化为结构化项目管理数据。其宣称的85%准确率与“人在回路”的编辑模式,坦诚地揭示了当前AI代理的局限性:它并非全自动魔法,而是一个需要人类监督的强力加速器。

产品的真正价值不在于替代人类决策,而在于将人类从繁琐的上下文切换与数据搬运中解放出来。它瞄准的代理机构市场是精准的,该领域客户需求多变、沟通频繁,重复的协调工作吞噬大量可计费工时,痛点明确且付费意愿强。然而,其长期挑战也显而易见:首先,对邮件语义的理解深度决定了自动化上限,模糊需求、复杂上下文和隐性优先级仍是AI的雷区;其次,集成越多工具,维护通用且可靠的工作流逻辑就越复杂;最后,当从单点邮件自动化扩展到整个项目协调时,它可能被迫卷入更复杂的项目管理逻辑中,这与“轻量、专注”的启动理念可能产生背离。

总体而言,FlowTask是AI应用从“聊天演示”走向“工作流嵌入”的一个务实案例。它不追求炫技,而是用混合智能(AI+人工)去缝合两个最常用却割裂的工具(邮箱与PM工具),其成败关键在于能否在提升效率与控制错误成本之间找到最佳平衡点,并持续迭代其上下文理解能力,从“准确分类邮件”进化到“真正理解项目状态与团队容量”。

查看原始信息
Flowtask
FlowTask is an autonomous operations agent for agencies. Connect your Gmail, and we automatically read client emails, create tasks, assign team members, and update your PM boards. 450+ agencies saving 10-15 hours/week on coordination overhead.

Hey Product Hunt! 👋

I'm Bibhash, founder of FlowTask.

The Problem We're Solving:

I talked to 450 agency owners last year.

Every single one said the same thing:

"I spend 10-15 hours per week reading client emails and manually creating tasks in my PM tool."

That's 780 hours per year. Per person. For a 10-person agency, that's $150,000/year in lost billable time just moving information between tools.

Why Existing Tools Don't Work:

Asana, Monday, ClickUp - they're all "systems of record."

They store information, but YOU still have to:

- Read the email

- Open the PM tool

- Create the task

- Assign the person

- Set the deadline

- Reply to client

That's 5 minutes × 50 emails/day = 4+ hours of manual work.

How FlowTask Is Different:

We're a "system of action"—we don't just store info, we EXECUTE workflows.

1. Connect your Gmail (60 seconds)

2. FlowTask monitors your inbox in real-time

3. When client emails "Can you revise the logo by Friday?"

→ FlowTask creates task

→ Assigns to your designer

→ Sets deadline Friday

→ Updates board automatically

All in 3 seconds. Zero manual input.

The Results:

450 agencies using FlowTask today:

- Average 12.3 hours saved per week per user

- 85% task automation accuracy (improving weekly)

- $2,000+ monthly value for $30/month

What We're Launching Today:

✨ Gmail integration (live)

✨ Asana integration (live)

✨ Email-to-task automation (live)

✨ Context-aware routing (understands project history, team capacity)

✨ 30-day free trial (no credit card)

Coming in Q1 2025:

- Outlook integration

- Slack monitoring

- ClickUp & Monday.com support

Special Product Hunt Offer:

First 100 signups get 50% off for 6 months (use code: PHHUNT50)

We'd Love Your Feedback:

What coordination overhead drives you crazy? What would you want FlowTask to automate?

Thanks for the support! 🚀

- Bibhash

2
回复

@bibhash_dutta you said 85% accuracy. what happens in the failure cases? does it flag low confidence tasks for human review?

1
回复

Nice!

1
回复

I think the failure cases are eventually inevitable. But if you keep allowing agent to try again, failure costs and token costs might be too high. What does human in loop mean? ie. if flowtask runs in the backend, how can me as a human actually change stuff instead of clicking just yes or no?

1
回复

@peterz_shu Great question, Peter. You are totally right infinite AI retry loops would burn money fast. We don't do that.

How 'Human-in-the-Loop' actually works:

FlowTask creates a 'Draft' version of the card in a staging area (the Approval Drawer). It’s not just a Yes/No modal. It is a fully editable form.

If the AI gets the assignee wrong, you just click the Assignee dropdown and change it right there. If the description is vague, you type over it.

You are essentially acting as the 'Editor,' correcting the AI's 'First Draft' before it hits your live board. It’s much faster than typing from scratch, but gives you total granular control

1
回复

Congrats on the launch! Turning email chaos into instant action feels like a real unlock, especially the context-aware routing part. How FlowTask handles edge cases, like vague client emails or conflicting priorities across projects?

0
回复
#18
Aquarium Widgets
Your pocket aquarium for a relaxing iOS widget
88
一句话介绍:一款将iOS主屏幕变为个性化水族箱的动态小组件应用,在用户频繁查看手机的碎片化场景中,用舒缓的视觉体验替代信息焦虑,创造瞬间的宁静。
iOS Aquarium
动态小组件 个性化装饰 减压工具 视觉放松 主屏幕美化 低功耗设计 iOS应用 数字健康 正念科技 情感化设计
用户评论摘要:用户普遍认可其舒缓减压的核心价值,并关注技术实现细节。主要反馈集中在:1. 对动态小组件耗电的担忧,开发者强调了“高效省电”特性但未详述技术细节;2. 询问是否支持Android版本;3. 期待利用iOS 17交互功能(如点击喂食)增强体验。
AI 锐评

Aquarium Widgets 表面上是一款美化主屏幕的“电子宠物”应用,但其深层价值在于敏锐地捕捉并试图解决一个数字时代的普遍困境:我们与手机的每一次交互,几乎都被功利性和压迫性的信息所绑架。它将小组件从“信息摘要工具”重新定义为“情绪调节界面”,这个定位转变是其最犀利之处。

然而,其产品形态也暴露了内在矛盾。首先,“动态”与“省电”的承诺在技术上面临挑战,现有评论已对此提出质疑,若无法用技术白皮书或数据佐证,此核心卖点将变得脆弱。其次,其“被动观看”模式在新鲜感消退后,用户粘性存疑。评论中提及的“互动喂食”建议恰恰点中了要害:缺乏轻量级交互,它极易从“心灵绿洲”沦为“电子壁纸”,重复当年许多禅意应用“下载即弃”的老路。

从市场角度看,它巧妙借用了“数字健康”和“正念”的东风,但需警惕落入“形式大于内容”的窠臼。真正的价值不在于几条游动的像素鱼,而在于能否构建一套持续引发积极情绪反馈的机制。如果开发团队能深挖数据,证明用户每日注视时长与压力指标下降存在关联,或将从一个精巧的小工具,升级为有实证支撑的数字健康产品。目前来看,它提供了一个优雅的起点,但通往“必需品”而非“装饰品”的道路,仍需在交互深度与情感连接上大胆进化。

查看原始信息
Aquarium Widgets
Bring life to your phone with Aquarium Widgets. Select from a variety of beautiful fish and calming backgrounds to create your own personalized underwater sanctuary right on your Home Screen. Relaxing, battery-efficient, and aesthetically pleasing.

This looks so soothing! 🐠 My main concern with animated widgets is usually battery drain. Since you mentioned it's 'battery-efficient', did you use a specific rendering technique (like low FPS or static sprites) to keep it from eating up the battery in the background?

1
回复
I am the creator of Aquarium Widgets, and I’m super excited to share it with the community today! We look at our phones dozens (maybe hundreds?) of times a day. Usually, it’s to check stressful emails or endless notifications. I wanted to build something that turns that split-second glance into a moment of calm.
0
回复

@daniplata 

Are you planning to develop an Android widget?

0
回复

Haha as an iOS dev I never thought about using widgets just for a design element of your home screen. Cool idea!

0
回复

Love the idea of turning a glance into a moment of calm. Much better than seeing unread emails. With the new interactive widgets in iOS 17, did you implement any 'tap to feed' mechanics, or is it strictly a passive viewing experience for now?

0
回复

Reminds me of the viral trend back in 2025 when people had a labubu app on their phone as an accessory

0
回复

I love this :)

0
回复
#19
Dirac
Start your day with full context, zero tab-hopping
87
一句话介绍:Dirac是一款利用AI代理技术,在早晨工作前自动汇总Discord、邮件等日常应用更新,并生成30秒简报的工具,旨在解决用户每日早晨需要花费大量时间跨平台手动获取信息、难以快速进入工作状态的痛点。
Productivity Artificial Intelligence
AI个人助理 晨间简报 信息聚合 生产力工具 自动化摘要 工作流优化 零标签跳转 时间管理 智能汇总 SaaS
用户评论摘要:创始人亲述产品源于解决自身痛点的创业历程,并积极寻求用户反馈。唯一有效用户评论提出了关于安全边界(如暂停按钮、减少控制权)的功能性建议,显示出用户对AI代理主动操作权限的潜在担忧。
AI 锐评

Dirac的核心理念——“用完整上下文开启一天,零标签跳转”——精准地刺中了现代知识工作者的一个普遍困境:信息过载与碎片化。它并非简单的信息聚合器,其宣称使用的“与Manus和Vy同源的代理控制技术”,暗示了产品正试图从被动汇总迈向主动抓取与判断,这既是其最大潜力,也是其最大风险。

产品价值不在于“摘要”本身,而在于将用户从“手动、重复、多平台切换的上下文重建”这一认知负荷中解放出来。真正的革新是试图将早晨的“信息消化”从一项需要主动意志力执行的任务,转变为一项无缝、被动的后台服务。这符合生产力工具的终极演进方向:从赋能到代劳。

然而,其面临的挑战同样尖锐。首先,**信任与安全**:评论中关于“安全边界”的提问一针见血。当AI代理能够直接登录并操作你的Discord、邮箱等核心账户时,权限的授予、隐私的保护、操作的透明性与可逆性(如“暂停按钮”)将成为用户接纳的首要门槛。其次,**摘要的“智能”瓶颈**:摘要的质量高度依赖AI对信息优先级与相关性的判断,在复杂工作场景中,何为“重要内容”极具主观性,算法误判可能导致关键信息遗漏。最后,**场景局限性**:其“晨间简报”的定位过于聚焦,如何扩展到全天的动态信息流管理,是其增长必须回答的问题。

总体而言,Dirac展现了一个正确的方向,但从一个解决个人痛点的“有用工具”,进化为一个被广泛信赖的“数字伴侣”,它必须在AI的可靠性、透明性与用户控制感之间找到精妙的平衡。否则,它可能只是为用户的焦虑清单上,又增添了一个需要被监控和管理的“自动化智能体”。

查看原始信息
Dirac
Stop spending 20 minutes catching up. Jump straight into the important stuff. Dirac gathers updates from all your daily tabs - discord, email etc... before condensing them into a 30-second summary so that you can start ready, not overwhelmed. Built to give you back your mornings, No wasted time in tab-hopping. No manual context-gathering.

Hey Product Hunt! 👋

I'm Peter, founder of Dirac. Super excited to launch this product which I've been working on for the past few months.😄

Quick story: We started out trying to build a Jarvis-style AI agent (ambitious, I know). 😅 Pivoted twice. Lost a co-founder. Ended up solving our own daily pain point—wasting 20 minutes every morning just catching up on what happened last night. It uses the same agent-control technology as Manus and Vy by Vercept, to deliver you the perfect morning summary.


I'm here all day to answer questions, take feedback, and probably fix some bugs in real-time :)

What does your morning routine look like? How do you catch up on everything before starting work? What apps do you use daily?

5
回复

Question: What might be the safety boundaries which you might want Dirac to implement without losing much functionality? EG. pause button, less controls, etc...

0
回复
#20
MemoryBubble
Pop Bubbles To clean your Mac's memory
87
一句话介绍:一款通过可视化气泡和进程树模式,实时监控与清理Mac内存的工具,在Mac因内存占用过高而卡顿、风扇狂转时,为用户提供直观且具趣味性的内存管理解决方案。
Mac Apple
Mac内存清理 系统优化工具 内存监控 可视化工具 生产力应用 轻量级应用 游戏化交互 SwiftUI开发 实时管理 进程管理
用户评论摘要:用户肯定其游戏化概念与视觉设计,但主要反馈集中在三点:1. 担忧应用自身资源占用是否过高;2. 询问气泡大小是否随内存使用实时变化;3. 指出网站体验不佳及支付流程存在故障。
AI 锐评

MemoryBubble的核心价值,在于试图将“内存清理”这一底层、枯燥的系统维护动作,进行游戏化与可视化包装,从而切入一个被传统工具忽视的情感痛点:用户面对系统卡顿时的焦虑与无力感。其“捏泡泡”的交互,本质上是将“强制退出”进程的行为仪式化、解压化,这确实是一个巧妙的心理设计。

然而,产品面临一个根本性的逻辑悖论与市场拷问。首先,技术层面,其宣称的“清理”功能在macOS内存管理机制下价值存疑。macOS本身已有高效的内存压缩与交换机制,主动“清理”空闲内存未必能提升性能,反而可能打断系统优化。其真正提供的,或许更接近于“进程强制结束”的增强版视图与操作界面,而非底层内存优化。其次,产品形态上,评论中关于其自身资源占用的担忧一针见血。一个以“轻量”为卖点的内存工具,若因华丽的粒子效果与实时动画消耗了可观的CPU/GPU资源,将构成最大的反讽。开发团队回应“安装包小于5MB”是第一步,但运行时占用才是关键。

从市场看,它瞄准的是那些对Activity Monitor感到畏惧或厌倦的普通用户,用视觉愉悦降低技术门槛。但付费墙(从评论中支付故障可知其为付费应用)将使其直接与众多免费且成熟的系统监控工具竞争。其长期生存的关键,不在于“泡泡”是否好看,而在于能否提供超越系统原生工具的真正洞察——例如,更智能地识别内存泄漏、异常进程,或提供可行的优化建议,而非仅仅提供一个好看的“结束进程”按钮。否则,它可能只是一个“美丽的玩具”,新鲜感过后难逃被卸载的命运。其真正的挑战,是如何在“形式创新”与“功能实质”之间找到稳固的平衡点。

查看原始信息
MemoryBubble
MemoryBubble is a Mac memory cleaning app that helps you monitor and clean memory in real-time with process tree and memory bubble visualization modes.

Love the concept! My only concern with visual-heavy utilities is their own footprint. The irony of running a heavy app to clean memory would be painful. 📉 Is the app built with native Swift/SwiftUI to ensure it stays lightweight, or is it web-tech based?

1
回复

@yoang_loo native Swift/SwiftUI. The installation package is less than 5MB.

0
回复

🫧 Gamifying the act of force quit is brilliant. We've all had those moments where we want to physically destroy a lagging app, so 'popping' it sounds incredibly therapeutic. Does the bubble size dynamically resize in real-time as the app's memory usage spikes?

1
回复
Hey Product Hunt! 👋 I'm thrilled to launch MemoryBubble – a delightfully different way to manage your Mac's memory! Why I built this: We've all been there – your Mac slows down, fans spin up, and you're hunting through Activity Monitor trying to figure out what's eating your RAM. I wanted to make memory management not just functional, but actually enjoyable. What makes MemoryBubble special: 🫧 Bubble Physics Mode – Watch your processes float around as bubbles sized by memory usage. Double-click to pop them (with satisfying particle effects and sound!). It's like cleaning your Mac became a zen experience. 🌳 Process Tree Mode – For when you need the traditional hierarchical view with parent-child relationships and detailed controls. 📊 Real-time Monitoring – See exactly what's consuming your memory, with smart filtering and priority management. I'd love to hear what you think! What features would make memory management easier for you? Download and give it a try – let's make memory management fun! 🚀
0
回复

Nice app idea ! However you should enhance your website to make sure that it feels less vide-coded.

0
回复

Plus I cannot manage to buy your product, when I try to purchase it the app opens a new tab in my browser, then when I go back in the app and do the same, it re-opens me a new tab, etc ... without any payment interface.

0
回复

Wow, a delightful flower in the forest of ai slop. I see the graphics are heavily similar to the beautiful ui of windows aero. What inspired you to make ts? :)

0
回复

Well this is genius! Congrats on the launch

0
回复