Product Hunt 每日热榜 2025-12-02

PH热榜 | 2025-12-02

#1
X-Design 2.0
Your creative AI agent for generating branded assets
485
一句话介绍:一款面向实体店主、创始人和自由职业者的AI品牌设计代理,能在几分钟内从概念生成完整的品牌视觉识别系统,并直接输出可用于线上线下场景的印刷级素材,解决了小品牌创建和应用统一视觉形象时流程慢、成本高、操作复杂的核心痛点。
Design Tools Branding Artificial Intelligence
AI设计工具 品牌视觉识别 实体店物料 一键生成 SVG导出 品牌工具包 中小企业 平面设计 自动化设计 印刷就绪
用户评论摘要:用户高度评价其专业输出质量、流畅工作流及对实体店物料(招牌、包装)和可编辑矢量格式(SVG)的支持。主要问题与建议集中在:增加营销活动物料支持、期待更深度编辑功能、询问PSD/CDR格式导出可能,以及好奇草图输入功能的具体实现。
AI 锐评

X-Design 2.0的野心不在于成为又一个AI logo生成器,而在于试图成为中小微品牌的“自动化品牌总监”。其真正价值在于精准切入了一个被主流在线设计平台忽视的夹缝市场:线下实体空间的品牌化需求。产品将AI的生成能力与一套“品牌规则引擎”(Brand Kit)绑定,确保从logo到菜单、海报的视觉一致性,这直击了小商家最头疼的“碎片化”痛点。

然而,其面临的挑战同样清晰。首先,其定位介于专业设计软件(如Adobe系列)与轻量级模版工具(如Canva)之间,这种“中间路线”需要极高的产品定义能力:对专业人士,其编辑深度可能不足;对小白用户,其品牌系统的概念又有理解门槛。从评论中反复出现的“如何编辑”、“是否支持PSD”等提问,已暴露出用户对其在专业工作流中定位的模糊。其次,其引以为傲的“从草图开始”功能,在官方回复中实则语焉不详,暗示该功能可能尚不成熟,这与其宣传的“起点”存在落差。

产品的成功与否,将取决于其能否将“品牌系统”这一抽象概念,转化为连咖啡店老板都能无痛理解和操作的具体动作。它不是在卖AI作图,而是在售卖“品牌一致性”的省心与确信。若能持续深化对实体商业场景(如特定尺寸的招牌、合规的包装标签)的深度支持,并建立与印刷产业链的便捷连接,它有望从一个有趣工具,升级为一个不可或缺的商业基础设施。目前看来,它迈出了正确且犀利的第一步,但最艰难的工程——在灵活性与规范性、易用性与专业性之间找到完美平衡——才刚刚开始。

查看原始信息
X-Design 2.0
Create logos, brand kits, and guidelines in minutes with an AI agent that generates concepts, refines visuals, and exports editable assets (JPG, SVG, PNG). Built for founders, freelancers, and teams who need fast iterations, consistent output, and brand systems ready for both online and real-world use.

Hi everyone, we’re excited to finally share X-Design 2.0 with you.

This project started from a simple observation:
many small businesses and local shops care deeply about their brand, but building a consistent identity and applying it across real-world touchpoints is still slow, expensive, and confusing. Most tools focus on online content, but very few help store owners design what they actually need for the physical world.

With X-Design 2.0, we wanted to create something different.
You can start with an idea, a name, or even a rough sketch. X-Design helps you turn it into a complete visual identity, then applies it to posters, menus, signage, packaging, and other store-ready materials. Everything stays consistent as you update or expand your brand.

This release is a big shift from our earlier version, not just new features, but a new direction for the product.
Our goal is simple: make branding accessible, practical, and ready to use from day one.

Thank you for checking out X-Design 2.0.
We’d love to hear your thoughts, your use cases, or anything you wish branding tools could do better. We’re here all day and excited to chat.

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@mona_xx Congrats on shipping this! I love the mission of helping store owners bridging the gap between digital and physical identity. What is the most creative use case you’ve seen during your beta testing?🤔

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@mona_xx amazing initiative!

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congrats @mona_xx @yuncheng @tony_hsieh2 🎨
keeping all assets aligned as the brand evolves is something most SMBs struggle with!

are there plans to support marketing campaigns too (flyers, promo cards, event signage)?

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@kate_ramakaieva 

Thank you for the congrats and the great question!

Yes, we absolutely have plans to expand beyond the initial focus. Support for marketing campaign materials like flyers, promo cards, and event signage is high on our roadmap. We want to be the single source of truth for a brand's visual identity across all touchpoints.

What type of campaign asset do you find is the most time-consuming to keep consistent right now? Let's discuss! 💬

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  @kate_ramakaieva Thanks! Keeping assets aligned is a big challenge for many SMBs. X-Design uses a Brand Kit to apply your logo, colors, and fonts automatically across new materials. It already supports posters, menus, flyers, product photos, and social visuals, and promo cards and event signage are on our roadmap.

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@tony_hsieh2 Your products looks amazing! I’d love to collaborate with you if you’re interested. message me on zangi 49_4234_0277
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Hey everyone! Tony here, maker of X-Design 2.0. Thanks so much for checking us out today.

We built this because creating a brand from scratch is still way too slow and too expensive for most founders and small teams. We wanted an AI agent that doesn’t just “generate a logo,” but actually works like a mini brand designer — exploring concepts, refining visuals, and exporting real, editable assets you can create right away.

With 2.0, you can generate full brand kits and guidelines in minutes: consistent colors, typography, logo variations, and ready-to-use assets. If you’re a founder, freelancer, or early-stage team, I’d love to hear how it fits into your workflow. Your feedback really helps us shape the next iterations.

Thanks for all the support today!

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@tony_hsieh2 My logo was ready in 10 minutes!! Great app! Congrats!
I’d love to see the ability to edit the text and maybe add more tools like moving objects.

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@tetiana_hryshmanovska Your products looks amazing! I’d love to collaborate with you if you’re interested. message me on zangi:49_4234_0277
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I’m one of the makers on the team, and seeing this version come to life has been a really meaningful journey for us. Over the past few months, we spent a lot of time talking to small shop owners, visiting cafés, boutiques and local stores. Almost everyone shared the same frustration: they care about their brand, but turning that into real materials is complicated, slow and often too expensive.

That’s the reason we decided to rebuild the product. With this release, we wanted to make it possible for someone to take a simple idea and turn it into a full identity they can actually use in their space. Watching X-Design create a logo, build a brand kit and instantly apply it to menus, posters and packaging has been incredibly rewarding.

If you’re running a small business or know someone who is building a brand from the ground up, we’d love to hear your thoughts. Your feedback will help us keep improving X-Design and make it even more useful for real-world branding work.

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@yuncheng Seem very practical and useful, i dont see why you can't succeed on this software.

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The results feel super crisp and professional, and the whole flow seems incredibly smooth. Big congrats on the launch! 🚀

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@getsiful Thank you so much! We’ve put a lot of love into making both the results and the workflow feel smooth and polished. Really appreciate you being here with us on launch day!

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Time to upgrade my product logo! Cant believe X Design could nail it! How customizable could I get out of it?

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@cruise_chen That's absolutely thrilling to hear! We love that X Design could nail your logo upgrade. 🥳

When it comes to customization, you can get incredibly flexible! Our goal was to give you full control. You have the power to fine-tune all the key elements—colors, fonts, layouts, and all underlying assets—to match your brand perfectly.

Is there a specific detail or feature you're looking to push the boundaries on? We'd love to hear what kind of unique look you're trying to achieve! 👇

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Dig the signage and packaging it generated bit, finally something for real world shops not just web stuff.

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@justin2025 Exactly! That was the goal. We firmly believe real-world retail shouldn't be an afterthought. What aspect of the physical output—signage or packaging—do you think will be most transformative for brands using the tool?

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This is really cool. Do you export PSD and CDR files as well?
I'm curious from a printing perspective.

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@chilarai That's a very practical question, and one we love hearing, especially from the printing perspective! 🖨️

Currently, X-Design 2.0 primarily focuses on producing high-quality, production-ready vector and raster files: SVG (for scalable vector needs), high-res PNG, and JPG.

We chose SVG specifically because it's the most flexible open standard for large-scale printing and web assets, often preferred over proprietary formats like CDR.

We don't currently export native PSD or CDR files, but since we generate clean vector paths (in the SVG), most professional design software (like Adobe Illustrator or CorelDRAW) can import the SVG and edit the paths easily.

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This looks extremely useful! Especially that it can create SVG which is vital for offline business because they require the assets at much bigger scale. I am curious how do you maintain the consistency across the whole set?

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@jin_shang1 Thank you! We are glad you find it useful. For consistency, X-Design stores your logo, colors, fonts, and style preferences in a saved Brand Kit. Whenever you create new materials such as posters, menus, flyers, or product photos, our AI Agent automatically applies the same settings so everything stays aligned, even at larger scales like SVGs.

If you want, you can try uploading a design and see how the Brand Kit ensures a cohesive look across all outputs.

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@jin_shang1 That's a fantastic point about the importance of SVG for large-scale offline business assets—we built it specifically for that professional need!

And that's a sharp question about consistency. Maintaining consistency across a whole set is a core function of the tool.

We achieve this through two main mechanisms:

  1. AI Style Locking: Once you approve an initial design concept (color palette, typography, primary layout, and core visual style), the AI locks those parameters. Subsequent asset generations use the original seed and style rules to ensure visual alignment.

  2. Brand Kit Rules: The tool builds a central "Brand Kit" around your chosen elements. Every asset, from logos to social media graphics, is rendered using the exact same hex codes, font weights, and spacing rules defined in that kit, enforced by the AI.

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@jin_shang1 yes even i was curious

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This looks incredibly useful. Finally, a tool that supports SVG and considers the actual printing needs of a business. Congrats to the whole team on the release!

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Congrats with the launch!
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@je_suis_yaroslav Thank you so much! We really appreciate the support! 🎉

We're thrilled to finally share X-Design 2.0 with the community.

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The attention to export formats is what truly sets this apart for the pro workflow. Too many AI art tools leave you with a nice-looking raster file (JPG/PNG) that’s useless for scaling or printing. The fact that X-Design 2.0 generates editable SVG and produces assets ready for both online and real-world use is huge. It saves the step of having to rebuild the AI output in professional design software. Massive time-saver in the actual production phase. Congrats on the launch!

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@janette_szeto The professional workflow and print-readiness were a massive focus for the 2.0 release. We know that a beautiful JPG isn't enough when you're actually sending assets to a printer or needing a scalable logo. The native SVG output is exactly what turns X-Design from a fun generator into a true production tool.

Are there any other specific vector elements or export parameters you feel are crucial for your day-to-day print needs that you'd like to see added? We're always looking to refine that professional workflow! 💬

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Cool. Was your ProductHunt video done with your own tool? :)

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@nikitaeverywhere Yes, it was done entirely with our own tool. We really wanted to showcase what it's capable of right out of the gate.

What part of the video caught your attention the most, and what kind of videos are you looking forward to creating with it? I'm excited to hear your thoughts! 🚀

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I love this!

Does this work if i start with a rough sketch? super curious for my side hustle branding.

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@knox_landry Thank you! And yes, you can absolutely start with a rough sketch. Our AI can interpret simple outlines or hand-drawn ideas and turn them into polished brand concepts.

If you want, feel free to share an example of your sketch style, and I can tell you exactly how well it would work for your side-hustle branding!

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@knox_landry That is a brilliant question! We love hearing how this can help with side hustle branding.

Currently, X-Design works best when you start with clear parameters (like text prompts, color palettes, and reference images for style).

However, the ability to translate a rough sketch into a refined concept is a feature we are actively exploring and highly prioritize! We know how often great ideas start on a napkin!

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@knox_landry Your products looks amazing! I’d love to collaborate with you if you’re interested. message me on zangi:49_4234_0277
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Congrats on the launch! This tool was really fun to use! Many AI tools these days use a credit billing system, which I don't find very intuitive. How do I know if I have enough credits for my branding needs?

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@viviwng Your products looks amazing! I’d love to collaborate with you if you’re interested. message me on zangi:49_4234_0277
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Great concept. X-Design feels accessible even for non-designers. Curious how customizable the elements are when working on more detailed layouts

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@X-Design Congrats on the launch! AI for branded assets is huge for teams managing multiple brands.

The signage and packaging examples look solid. How does X-Design handle brand consistency across different asset types?

Are teams using custom brand guidelines or templates to maintain their visual identity? Curious about the learning curve for non designers.

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@vimal_polara2 Your products looks amazing! I’d love to collaborate with you if you’re interested. message me on zangi:49_4234_0277
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This looks super helpful for founders who aren’t designers. How well does it handle different lighting or product textures?

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Congratulations X-Design team!

I just spent 15 minutes having an absolute blast with X-Design 2.0, and I'm genuinely impressed.

As someone with ZERO branding experience, I was nervous about creating a visual identity for CloudWise (my AWS cost optimization tool launching here soon!). But X-Design made it feel effortless and actually fun.

In just 15 minutes, I created:

- CloudWise logo + variants (SVG, PNG, JPG)

- Complete brand kit (colors, typography, guidelines)

- Social media assets ready for distribution

- Everything consistent and professional

The UX is so smooth and intuitive that I didn't want to stop! The AI suggestions were spot-on, and the Brand Kit feature is a game-changer for maintaining consistency.

I have a few questions for the team:

1. SVG export quality: I noticed the SVG exports are crisp and scalable. Do you support exporting individual logo elements separately (icon, wordmark, etc.) for maximum flexibility?

2. Brand evolution: As CloudWise grows, I'll likely need to refine the brand. Does X-Design support versioning or iterating on an existing Brand Kit without starting from scratch?

3. Tech startup focus: Most examples I see are for physical businesses (cafés, boutiques). Do you have specific features or templates optimized for SaaS/tech startups launching on Product Hunt?

4. Integration potential: Are there plans to integrate with tools like Figma or Canva for further customization, or is X-Design designed to be a complete end-to-end solution?

This is exactly what early-stage founders need. Can't wait to use these assets for CloudWise's launch!

Upvoted and following!

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@rickwise Your products looks amazing! I’d love to collaborate with you if you’re interested. message me on zangi:49_4234_0277
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This looks SO good! If I already had rough designs created from Nano Banana Pro, would it be able to upscale them and create usable assets based off of these? Would love to have Vectors of the assets I had generated for my upcoming Mac app
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@mona_xx @yuncheng @tony_hsieh2 X-Design is a really cool product. I love your design concept, i love your UX flow. the prompt box never leaving me even while I'm scrolling, that's a very nice initiative. Will you guys be looking into being able to create cool animations for branding?

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Congratulations on your launch, I am for sure going to be using this for Sheplang branding. Can I ask how did you guys create those amazing demos ? @tony_hsieh2 @mona_xx @yuncheng
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@goldensheepai 

 That's fantastic to hear! We are thrilled that X-Design 2.0 will be part of the Sheplang branding—we can't wait to see what you create! 🎉

That's a great question about the demos! To answer directly: the key demos were created entirely within X-Design 2.0 itself.

We used the tool's core functions—the AI concept generation, the brand kit refinement features, and the SVG export—to ensure the demos were a true, accurate showcase of the final output quality and workflow speed.

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Great job! In my opinion : too many options/services offered so the menu is busy. What happens in my brain when I try to read menu items : AI bla bla - AI bla bla. Maybe your niche should be a little bit clearer.

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@francis_william_rheaume 

That is incredibly valuable feedback! Thank you for the blunt, honest assessment—that's exactly what we need to hear. 🙏

You hit on a potential point of friction: "too many options/services offered so the menu is busy." We focused on comprehensive features, but you're right, that can lead to feature bloat and confusion about the core value.

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Congrats on the launch! The ability to start from something as small as a sketch and turn it into a full identity feels incredibly approachable. What inspired the shift in direction from the earlier version?

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@vik_sh That's a fantastic compliment, thank you! Making the branding process approachable was a huge priority for us, and the idea of translating a rough sketch into a full identity is something we are actively striving for! (Though currently, we rely on clear input, that sketch feature is coming!)

The shift in direction for X-Design 2.0 was inspired by one key realization: Founders don't need more art; they need production-ready assets and consistency.

We moved from being a generator (Version 1.0) to being a complete Brand System Agent (Version 2.0) that focuses on guaranteed consistency, scalable output (SVG), and integrated refinement.

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I could see how our tool could pair nicely with what X-Design offers to enhance workflow and user experience, so I’ll go take a closer look at their launch now.

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@jamesjacksonleachatx That's excellent to hear, James! We appreciate you taking the time to explore X-Design 2.0.

We're big believers in the power of synergistic workflows in the creator space. We designed our API and output formats (especially the clean SVG) with seamless integration in mind.

What kind of unique workflow enhancement are you imagining between our tools? I'd love to learn more about your product! 🤝

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Love this product, particularly the AI process that helps you effectively use a model like nano-banana to create amazing branding.

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@alexander_gifford That is fantastic to hear! We love that the AI process—and specifically its ability to integrate and leverage unique stylistic models like 'nano-banana'—is resonating so strongly. It's truly where the magic happens! ✨

We believe the combination of a powerful model with an intelligent workflow is the key to creating amazing branding efficiently.

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@alexander_gifford Your products looks amazing! I’d love to collaborate with you if you’re interested. message me on zangi:49_4234_0277
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Congrats on the launch! The shift toward physical-world brand materials is excellent.

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@abod_rehman Thank you so much! We appreciate the congrats! 🎉

We truly believe that brand systems need to work just as well on a physical banner as they do on an Instagram feed, so we're glad the focus on physical-world brand materials resonated with you!

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This is very helpful to small business, most of them don't have an in house designer, so outsourcing design tasks to freelancers often makes it difficult to maintain consistent branding.

I can foresee its success in the short future! Good luck!

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@cheng_ju1 That is a perfectly articulated summary of the exact problem we set out to solve! Thank you for the insightful feedback and the good luck wishes! 🙏

You are absolutely right: relying on outsourced freelancers, especially for small businesses, is where brand consistency most often breaks down. Our goal is to make X-Design 2.0 the "in-house designer" that enforces the brand system 24/7.

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@cheng_ju1 Your products looks amazing! I’d love to collaborate with you if you’re interested. message me on zangi:49_4234_0277
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Very useful! Congrats on launch!

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@ruvik_milkis Thank you so much! We're glad you find X-Design 2.0 useful, and we really appreciate the congrats! 🎉

We focused heavily on making the workflow smooth and the output professional.

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Congrats.. very cool .. all the best 🔥🔥
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@dessignnet Thank you, really appreciate your support! We’re excited to see what everyone creates with X-Design.

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#2
Stickerbox
Kid-safe, AI-powered voice-to-sticker printer
398
一句话介绍:一款通过语音指令和AI图像生成技术,将儿童天马行空的想法即时转化为实体贴纸的打印机,在家庭娱乐与亲子互动场景中,安全地将孩子的创造力从数字世界带入现实,解决了传统玩具创造力表达受限、屏幕时间过长的痛点。
Kids Artificial Intelligence Toys
儿童AI玩具 语音交互 实体贴纸打印机 创客教育 生成式AI应用 无屏互动 亲子科技 创意工具 热敏打印 安全AI
用户评论摘要:用户反馈积极,认为产品有趣、神奇且有益于激发创造力、辅助语言学习及激励孩子。有效建议包括:希望增加角色固定功能以创作连贯故事、期待软件更新(如重印、自定义角色),以及尽快开放更多国家(如加拿大)的配送服务。
AI 锐评

Stickerbox 巧妙地在一个敏感领域——儿童AI应用——完成了一次高风险却显得颇为优雅的落地。其核心价值并非技术突破,而在于对“界面”的极致简化与“输出”的刻意实体化。

产品通过“语音输入-AI生成-热敏打印”的闭环,将复杂的生成式AI技术封装成一个“许愿盒”般的魔法道具。这本质上是一种“去科技感”的包装,让AI作为隐形的引擎,而非被凝视的焦点。正如创始人所言,“‘AI’消失在设备的魔力之后”。这种设计哲学高明地规避了儿童使用复杂AI工具时的认知负担与潜在风险,将互动重心牢牢锁定在“想象力-实体物”的即时转化所带来的惊喜与掌控感上。

然而,其真正的挑战与长期价值将体现在“安全”与“生态”两个层面。目前看来,其“安全”主要体现在交互形式的封闭性(纯语音、无开放网络浏览),但AI生成内容本身的不可控性仍是悬顶之剑,需持续的内容过滤与伦理把关。在“生态”层面,单次打印的新鲜感能否持续?评论中用户提出的“固定角色创作故事”的需求,恰恰点明了从“单点惊喜”到“系统性创造”的关键跃迁。产品若仅停留在随机贴纸生成器,恐将沦为一时新奇;若能围绕打印出的贴纸构建叙事、分享甚至轻社交场景,则可能从玩具升级为一个独特的儿童创意平台。

总体而言,Stickerbox为AI to C硬件提供了一个极具参考价值的范本:在技术喧嚣中回归用户最本真的需求(将想法变成实物),并用最质朴的形式(贴纸)承载。它的成功与否,将检验“有形的AI交互”在娱乐教育市场究竟是一个精巧的利基,还是一个可持续的商业模式。

查看原始信息
Stickerbox
The first voice-powered, AI creative tool that instantly transforms any idea into a sticker that you can color, share and collect! Kids say “a ghost riding a skateboard” and a few seconds later they are holding that ghost as a real sticker. It turns kid's wild ideas into physical art they can color, stick, and share with friends.

Hi Product Hunt - @robert_whitney and @ajustrun here, creators of Stickerbox.

Order now to get your free refill pack!

If AI were built for kids, what would it look like?

We immediately focused on kids’ incredible creativity. We wanted to let them combine the power of their ideas with AI tools, but we needed to make sure we did it safely and in the right way.

Enter Stickerbox, a voice powered sticker printer. By combining AI image generation with thermal sticker printing, we instantly turn their wildest ideas into real physical stickers they can color, stick, and share.

What surprised us most is how the “AI” disappears behind the magic of the device.

A ghost on a skateboard, a dragon doing its taxes, their dog as a superhero, that moment when the printer finishes and they are holding their own idea as a real sticker, that's magic.

Stickerbox is our attempt to make modern AI kid-safe, playful, and tangible. We’d love to hear what you think.

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@robert_whitney  @ajustrun Congrats on your launch! It's really super easy and interesting. No need to understand more and more.

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@ajustrun this is fun way especially to target young parents on which involving introductory of AI benefits in this way of adoption. Good job!
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@robert_whitney  @ajustrun This is an amazing tool for kids! I’m sure you’ll have a lot of happy users. Congrats and upvotes from me!
Many years ago I would’ve bought something like this for myself at school, I’d be thrilled to make tons of Sailor Moon stickers :D

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I was fortunate to have @ajustrun send me a Stickerbox so I could play around with one ahead of launch — and man is this thing fun!

Once you get it online, you simply conjure up some image in my your mind and then say it out loud — the Stickerbox takes what you said and then prints a black and white sticker that you can color in with the provided colored-pencils. So fun! 🖍️

I'm shocked at how much AI you can get away with in a child's toy — and it shows that if we lean into the mystery and creativity of generative AI (with appropriate guardrails, OFC), you can create something delightful and engaging and that gives kids a way to express themselves, rather than turning them into mindless thumbs scrolling the infinite feed.

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I had watched this super cool video on LinkedIn (shared by Jason Fried) Good luck for the launch!
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@k_j1 Thanks so much. Excited to be sharing with the PH community!

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My new favorite thing as a parent. A big thank you to @ajustrun for sending me a unit to test and I'm not lying that it felt like Christmas. My daughter wakes up every morning now asking if she can use @Stickerbox and it's become a great motivator to finish her homework or chores.

Stickerbox has helped her improve her English (we're living in Japan), explore her creativity, and most importantly, help her with her focus.

Read my full review: https://www.producthunt.com/p/general/stickerbox-review-a-kids-safe-ai-box-is-my-daughters-favorite-new-toy

Congrats to the whole team and very excited to see how Stickerbox evolves.

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Love how it turns wild voice ideas into real stickers kids can color n stick everywhere, might grab one for my little daughter.

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I love this one!

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@busmark_w_nika Thanks Nika!

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Been loving Stickerbox and curious if you have any software updates planned?

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@jasontoff Yes! We will be continually pushing out software updates to both the Stickerbox and the parent companion app. Reprinting your favorite stickers, creating your own reusable characters and much more to come.

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We love our StickerBox... it's become a daily obsession for our three year old. Congrats on building something amazing.

We would love to be able to fix characters across multiple stickers to create stories!

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Kids (and big kids 😄) get to say something wild like ‘a cloud-surfing unicorn with sunglasses’ and a few seconds later hold it in sticker form! That’s pure magic. 🦄✨

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This is the kind of tech that actually feels wholesome. Turning imagination into something they can hold? Beautiful.

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Wow! Really amazing idea. Nice use of AI.
Kids are gonna love it!

Congrats on the launch!

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As a parent, this looks like something my kid would absolutely love. Is it easy for children to use on their own?

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This looks like the ultimate holiday gift! transforming 'wild ideas' into immediate stickers is such a fun hook. Can't wait to see what kids create with this.

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I was thinking about building this! I print a sticker for my daughter's lunch every day using one of the little bluetooth sticker label printers. My only feedback is - Ship to Canada! @ajustrun Can I work out a one-off deal for you to send me one haha?

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Bought! My kid is going to love this!

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Amazing idea! We need more AI projects for kids—the potential is huge.

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Hi @robert_whitney and @ajustrun , I couldn't find a definition or meaning online for the term "Internet Browning". Is that a real term, or a typo?

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Interesting toy for my kids! not so often to see hardware on PH but it is great launch! Would you offer prompt templates for hottest stickers lol?

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Beautiful product, beautiful video you made for it!

I have instantly wondered about the number of stickers in the pack: 180 is perhaps even more than enough. Anyway, the logistics of sticker packs should be way simpler than devices.


Got one question, though:
What if the reality doesn't align with a child's imagination of "AI magic"? Is there a chance of disappointment?

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@Stickerbox Kid safe AI voice to sticker is brilliant! The parenting angle makes total sense. How are you handling the AI content moderation to keep things appropriate for kids?

Are parents able to customize what types of stickers can be generated?

This could be great for creative expression without screen time.

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Happy customer of Stickerbox! (and also early investor, so got the early version) My 4-year-old daughter loves creating and coloring her stickers. She now has a book collection of them! It also works in both English and Mandarin - even with her toddler-ish accent. Super excited to see the launch @ajustrun @robert_whitney

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I'm interested to know if the AI is running on the device, or if a cloud connection is necessary for it to operate?

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How the hell does it not run out of API credits?

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#3
Aha 2.0
AI employee that runs influencer marketing from start to end
395
一句话介绍:一款面向AI公司的全流程AI员工,从匹配、触达、谈判到合同、内容审核与绩效追踪,一站式解决网红营销执行过程中的混乱、低效与高度依赖人工的痛点。
Branding Artificial Intelligence Influencer marketing
网红营销自动化 AI员工 营销SaaS B2B营销工具 影响力营销 流程管理 创作者经济 绩效追踪 合同自动化 多语言支持
用户评论摘要:用户普遍认可其“AI员工”概念,认为能极大节省时间。主要问题集中于:匹配算法的具体逻辑、效果衡量指标、谈判的自动化程度、是否支持多语言活动及免费试用。创始人回复详细,展示了算法升级、反欺诈系统和多语言支持等核心优势。
AI 锐评

Aha 2.0的野心不在于成为又一个网红数据库,而在于扮演“执行层”的替代者。其真正价值并非简单的效率工具,而是试图将网红营销这一高度非标、依赖人际沟通的“艺术”,封装成一个可预测、可规模化交付的“工程化”流程。

产品直击行业最深的悖论:价值公认,但执行混沌。通过AI接管从寻找到追踪的全链路,它旨在将品牌方角色从“疲于奔命的协调者”转变为“关键节点的审批者”。其宣称的基于300+品牌实战数据优化的算法、多层反欺诈系统及“后付费”模式,共同构建了一个“降低决策风险”的价值主张。这尤其对寻求快速规模化的AI公司具有吸引力,因为它们往往缺乏成熟的营销团队。

然而,潜在挑战同样尖锐。首先,“AI谈判”的边界模糊,在涉及复杂权益的商业谈判中,AI能否真正替代人的判断与博弈存疑。其次,将成功案例集中于“AI公司”这一垂直领域,虽有利于早期定位,但也可能暴露其算法在更广泛消费品牌领域的适配性尚未得到验证。最后,拒绝提供传统免费试用,虽以“涉及真实成本”为由,但也可能抬高尝鲜门槛,将客户锁定在已决心投入的中大型活动上。

本质上,Aha是在赌一个未来:品牌方愿意为了流程的确定性和时间节省,让渡一部分对“关系”和“直觉”的控制权。它的成败,将取决于其AI在复杂人际交互中表现的“可靠度”与“人性化”的平衡,能否真正超越人类执行者的平均水平。

查看原始信息
Aha 2.0
Built for AI companies. Aha handles matching, outreach, negotiation, contracts, content review, follow-ups, and performance tracking. All you do is review and approve, just like a boss. Shaped by real campaigns with 300+ global brands, Aha 2.0 delivers a safer, more reliable way to work with influencers.

Hey Product Hunt 🚀 I’m Kay, founder of Aha.

I’ve spent the past seven years deeply involved in influencer marketing, and I know just how painful it can be. For a long time, I watched teams struggle with the same challenges my own team faced. It took weeks just to find influencers, pricing was pure guesswork, follow-ups often went late into the night, and content still had to be reviewed manually across multiple tools.Everyone says influencer marketing works, but very few are willing to admit that the execution is chaotic, slow, repetitive, and completely dependent on people.

That reality is why we created Aha. Today, we’re excited to introduce Aha 2.0.

It built for AI companies that want to gain exposure, and scale through influencer marketing without the usual chaos. It acts like your 24/7 AI employee that runs influencer marketing from start to end: finding creators, outreach, negotiation, contracts, content reviews, follow-ups, and performance tracking.

You decide. Aha executes.

💰Pricing is simple: Top up first. Only pay after influencer delivered. Refunds available.

Aha 2.0 means a lot to us. If you try it out or share feedback, we’d truly appreciate it. Thank you for being here 🙏✨

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@kaixin_feng Great focus on AI companies! Is there a specific niche/size of creator the platform excels at finding?

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@kaixin_feng Huge congrats on the launch of Aha 2.0, Kay! 🚀 Having an AI handle the chaotic side of influencer marketing sounds like a game-changer for scaling teams. I'm curious, does the AI handle negotiations based on a set budget range, or do we need to approve each price point manually?

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@kaixin_feng Love the concept. It’s always tough for brands to measure influencer performance and real ROI. What metrics does this tool provide to show whether an influencer is actually an effective partner?

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Nice launch—love the concept of an AI-powered influencer marketing “team” working 24/7.

From a clarity & conversion lens: when a brand manager opens Aha for the first time, what’s the single belief you want them to hold in the first 10-15 seconds?
Is it:
• “I can launch an influencer campaign faster than ever before.”
Or:
• “I no longer need to manage dozens of creator relationships manually.”
Because in growth tools like this, the biggest barrier often isn’t feature count—it’s belief.
Curious how you’re framing that for first-time users.

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@joydeep_pandey 

Great question 🎉 and I’m really glad to reply!!

The core belief we want users to form in the first few seconds is: “Aha is your 24/7 influencer-marketing employee that runs the entire process from start to end.”

Once you see it as an employee, everything becomes clear. It means you no longer need to be stuck doing all the painful, repetitive work yourself.

No more spending days finding the right influencers.

No more manually emailing people one by one.

No more endless back-and-forth.

No more chasing influencer contracts and approvals.

Scaling quickly is more of a result. When efficiency improves, you naturally end up working with more influencers in less time.

What stays in your control are the key checkpoints: setting up a campaign, confirming the ready-to-collaborate list, and reviewing content. You only spend time on the decisions that truly matter, and Aha takes care of everything else.

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Hi! I’m Francis, CPO of Aha.


Aha 2.0 comes with several upgrades shaped by working with more than 300 global brands. We focused on making the entire experience smoother and more reliable. 

Algorithm & data upgrades

  • Across 300 real brand campaigns, CPM dropped 23% vs March.

  • Vetted, high-quality influencers increased from 2M to 5M

Outreach efficiency

  • 2× higher acceptance rate at larger outreach volume

  • AI-generated personalized messages and automatic reply classification

  • Multilingual localization for efficient global collaboration

Trust & delivery

  • Creator credit system & delivery scoring for long-term quality assurance

  • 100% refund protection for non-delivery, fake data, or low-quality content

  • Enhanced verification for outreach domain authenticity

  • Multi-layer anti-fraud system ensuring data integrity and reliable delivery

And there’s much more in this release, all built toward one goal:making influencer collaboration faster, safer, and more reliable. 

Would love for you to give it a try and share any feedback ✨

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As someone who runs lots of small campaigns, I really appreciate tools that simplify the chaos. It doing matching, outreach, contracts and tracking for me feels like next-level support. I'd love to try this and see how much work it really saves.

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@sukumar_sukumar1 Thanks for the love! Welcome to sign up on our website and try it out. If you have any questions, you can also book a demo. Our team is always here to help.

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This feels like something I personally needed months ago. Managing influencers manually drains so much time and the back-and-forth always slows me down. An AI that handles everything while I just review like a boss sounds unbelievably helpful. I'm genuinely curious to test this.

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@thomas_jack4 Thanks so much for sharing this! We’ve been through that same pain ourselves, and that’s exactly why we built Aha to handle all the back-and-forth and manual coordination. If you’re curious to see how different the flow feels, you can book a demo on our website and we’ll walk you through it step by step 🍻

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I'm honestly impressed by how it handles influencer campaigns fromstart to finish. As someone who usually juggles outreach and negotiations myself, having an AI employee take over the messy parts feels like a dream. I'd love to try this flow and see the difference.

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@robert_smith52 Wow, thank you soooo much! That means a lot to us. If you’d like to give it a try, you can book a demo on our website. Our team will walk you through everything step by step 🎉

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I have landed two campaigns with Aha, and the number and quality of KOLs are very high, and the recommendations are also very accurate. Expect AHA 2.0

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@julie_su Really appreciate you sharing this. Hope you’ll love Aha 2.0 even more 🎉

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Congrats @luvian_yu and team! Great hunt @zaczuo !

Сan Aha support multi-language campaigns or is it primarily English-focused for now?

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Thanks @kate_ramakaieva . Yes, Aha fully supports multi-language, global campaigns.

Aha works across 140+ countries and languages. When you create a campaign, you can simply choose the target country and language.

The AI also handles localized communication, so outreach and negotiation can happen in each creator’s native language, no manual translation needed.

So whether you're running campaigns in English, Spanish, Korean, Japanese, German, or across mixed regions, Aha can manage and execute it from start to end.

Happy to share more if you’re exploring global markets!

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Lately I’ve started to see some Reddit posts that are unobviously written by AI and are liked by AI accounts. They (very gently!) promote some of their stuff by giving some valuable information as well. The key point is that people notice that and despite AI agents itself upvote such posts as hell, real people hate it when notice that something is off and it looks promote-y and fishy.

How do you solve this problem in your product?

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@nikitaeverywhere 

Great question 👍

Honestly, this is one of the biggest problems in the influencer space. There’s a huge amount of noise out there: promo accounts, fake engagement rings, bought followers… all of it makes the data feel unreliable.

That’s exactly why we built a multi-layer filtering pipeline inside Aha. Before a influencer even has the chance to be recommended, we’ve already removed the obvious bad actors through blacklists and behavior checks. Then we filter out content with unnatural engagement patterns. And right before a influencer joins a campaign, we run one more real-time check to make sure their recent data still looks healthy.

Influencer who fail these checks either get down-ranked or removed completely, so what you see in Aha is the cleaner, more trustworthy side of the ecosystem. That’s also why the recommendations tend to feel “real” instead of spammy or AI-generated.

For us, the entire goal is simple: only let brands work with influencers who are authentic, consistent, and actually deliver. Everything else we actively filter out !!!!

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I need some tools to facilitate my kol marketing. Is there a free trial?

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@charlenechen_123 

Thanks for asking!

Aha isn’t a single-step tool. It helps you run influencer campaigns from start to end. Since a live campaign involves real creators and real collaboration costs, it’s difficult for us to offer a traditional free trial.

If you’d like to get a clear sense of how it works, welcome to book a demo on our website. Our team would be happy to show you everything step by step.

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Extremely painful to source, outreach and arrange influencers for my content marketing - Aha saves me! Will you display reviews and leaderboard of those influencers in future?

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@cruise_chen 

Thanks!

Totally feel you. Doing influencer marketing the traditional way is truly painful. That’s exactly why we built Aha — to let AI take care of the dirty work so people can focus on real decision-making and the things that actually matter.

Right now we already have an influencer scoring system based on past delivery performance. We also show best-price benchmarks, audience insights, and estimated CPC/CPM. All of this makes it much easier for brands to choose the influencers they ultimately want to work with.

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Really interesting! How does Aha choose which influencers match a brand or campaign is it based on niche, engagement, or location?

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@getsiful Great question!

Matching on Aha happens in two steps. The first step is setting up your campaign. You need to define your product’s core value, your target audience, and the markets you want to reach. Then ,Aha has a clear brief of what your campaign requires.

The second step is powered by Aha’s LLM based matching system. It does not rely on tags or historical clicks. Instead, it allows AI to work like a marketing expert by analyzing a influencer’s content, audience profile, niche, region, and many other factors. Through multiple rounds of recall, coarse ranking and fine ranking, Aha identifies the influencers who are the best fit for your brand and campaign.

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Aha is an excellent product. I've been using it for a long time, and our company's external KOL collaborations are almost entirely through Aha. It's very reliable.

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i have personally singed from my two accounts but never got any deals 🥲 pls let me know where i am wrong ( btw i signed from X accounts)

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I haven’t tried it yet, but looks very promising. I spent the last few weeks trying to find influencers to work with, and it’s such a pain. Good luck guys!
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🤌
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A great tool to manage your influencer campaign!

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@pasha_tseluyko Thanks soooo much, hope you enjoy it.

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How does Aha identify and rank influencers for a campaign?

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@abod_rehman 

Happy to explain!


Matching on Aha starts with your campaign setup. You define your product’s selling points, your target audience, the markets you want to reach, the platforms you want influencers from, your budget, and so on. Once everything is set, Aha can begin the matching process.

The matching doesn’t rely on surface tags like “AI” or “tools” . Instead, AI works more like a marketing expert that understands both your product and the influencers.

  • In the recall stage, it looks at your product category and target audience and pulls a broad group of influencers who align with that profile.

  • In the coarse-ranking stage, it filters that group based on influencer activity, your target regions, content performance, and whether their behavior looks healthy and trustworthy. This helps ensure the influencers are real, active, and suitable for collaboration.

  • In the fine-ranking stage, it checks deeper promotional fit, such as audience overlap and content-theme alignment with your product.

The final output is a high-confidence list with matching scores, giving you influencers who truly fit your brand and campaign.

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Love this! Managing influencers from end to end is no small thing.

One question though,
what happens when a situation gets emotional or requires human judgment?

Does Aha have a way to handle those cases differently?

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@hee323 

Hah, great question!
In the influencer outreach step, Aha uses intent detection and automated replies. Based on the influencer’s wording and tone, Aha takes different actions. For example:

  • If an influencer agrees to collaborate, Aha guides them into the platform to complete the acceptance and content delivery process.

  • If an influencer has questions, Aha pulls from our continuously updated knowledge base of common questions and responds automatically.

  • When a situation becomes complex or unclear, such as emotional conversations or anything that requires human judgment as you mentioned, Aha flags it and turns it over to our operations team for manual handling.

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#4
Mistral 3
A family of frontier open-source multimodal models
332
一句话介绍:Mistral 3发布了一系列前沿开源多模态模型,通过提供从轻量到顶级的多种规格选择,解决了开发者在追求高性能AI时面临的成本控制、部署灵活性和商业授权顾虑等核心痛点。
Android Open Source Artificial Intelligence
开源AI模型 多模态模型 混合专家模型 轻量级模型 Apache 2.0许可 性能成本比 前沿模型 本地部署 企业级AI 开发者工具
用户评论摘要:用户肯定其开源价值与轻量化部署优势,并关注与竞品的性能对比(如逻辑、代码能力)。核心建议聚焦于:明确向开发者传递“低成本部署顶尖模型”的核心信念,以及厘清最能受益的目标行业和市场。
AI 锐评

Mistral 3的发布,与其说是一次技术飞跃,不如说是一次精准的生态卡位。其真正的锋芒并非单纯指向参数规模的军备竞赛,而在于通过“家族化”产品矩阵,系统性拆解了开源模型落地的现实枷锁。

产品层面,它玩了一手精明的“组合拳”:用Apache 2.0许可证提供毫无法律后顾之忧的商业自由,用14B到675B参数的宽谱系覆盖从浏览器边缘计算到云端大规模服务的全场景,再用“性能成本比”这一直白主张,直接刺痛了那些受困于天价推理成本的务实开发者。这标志着开源AI的竞争重心,正从“纸面基准”转向“综合拥有成本”。

然而,评论区的反馈揭示了其光晕下的暗角。有用户指出其旗舰模型Mistral Large 3在逻辑、代码等硬核任务上仍稍逊于如DeepSeek等竞品。这暴露出一个关键问题:在“前沿”宣称与“最佳成本比”之间,存在需要权衡的张力。用户赞扬其多语言和轻量化优势,恰恰说明其市场突破口可能并非在全面碾压闭源模型,而是在特定优势场景(如欧洲多语言环境、边缘 multimodal 应用)构建不可替代性。

更犀利的洞察来自那条关于“信念”的评论。它直指当下开源模型推广的核心障碍:说服力。Mistral需要回答的,已不仅是“我性能多好”,更是“你为何敢用我替代现有方案”。是将“企业级控制力”还是“无痛部署”作为首要信息钩子,决定了其吸引的是保守的大型机构还是激进的独立开发者。Mistral 3提供了出色的技术选项,但其市场成败,将取决于它能否为不同细分用户铸造那把打开“信念之门”的钥匙。

查看原始信息
Mistral 3
Mistral 3 includes three state-of-the-art small, dense models (14B, 8B, and 3B) and Mistral Large 3 – our most capable model to date – a sparse mixture-of-experts trained with 41B active and 675B total parameters. All models are released under the Apache 2.0 license. The Ministral models represent the best performance-to-cost ratio in their category. At the same time, Mistral Large 3 joins the ranks of frontier instruction-fine-tuned open-source models.

Im really impressed with GPT OSS 120B in Antigravity. Its suppose to be level with gpt5 etc. And its possible to run on mac studio, with the highest specs etc. So future look good for local Agentic LLM's. would love to compare this to the GPT OSS model. A local cursor IDE would be huge. Its kind of sad that coding is pay to play at the moment. I spend 100$ a day in coding. It's wild.

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Impressive launch—especially how Mistral 7B pushes the boundaries of open models while remaining lightweight and efficient.

From a clarity & onboarding lens: when a dev or product team opens Mistral 7B for the first time, what’s the single belief you want them to adopt in the first 10-15 seconds?
• “I can deploy a best-in-class model without massive compute or bespoke infrastructure.”
Or:
• “This open model gives me enterprise-grade performance with full control.”
Because with foundational models, the biggest barrier isn’t parameters—it’s belief.
Curious how you’re framing that for first-time users and what the “aha moment” looks like in your product journey.

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I personally tried Mistral 3 Large when it came out yesterday and think it's a good model in terms of multilanguage and multimodality (as even the smaller models with less params can run purely in browser and confidently detect objects correctly - so kudos for that). But the Mistral 3 Large itself still seems to need a bit more power as in my own evaluations it still lags a bit behind the new deepseek 3.2 in logical thinking, coding and math tasks. But yeah, for users in european countries needing a multilingual assistant it's still the best in that scenario

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Which industries or applications do you think will benefit most from these open models?

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Wow it sounds amazing! Congrats on the launch. Just for curiosity, who is your target market?
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#5
ZapDigits
Quickly build client-ready marketing dashboards
303
一句话介绍:ZapDigits是一款一体化营销仪表盘,通过一键连接Meta Ads、Google Ads等20多个数据源,为营销团队和机构解决了跨平台数据分散、手动报告耗时低效的痛点,实现实时数据整合与客户共享。
Analytics Marketing SaaS
营销仪表盘 数据整合 自动化报告 营销分析 客户看板 SaaS 机构工具 实时数据 白标定制 效率工具
用户评论摘要:用户普遍认可其解决数据分散、节省报告时间的核心价值,认为产品“解决了真实痛点”。主要询问和建议集中在:1. 增加更多数据源集成(如LinkedIn Ads、HubSpot);2. 深化白标和仪表盘模板的自定义功能;3. 明确多客户管理、数据源数量限制等细节。团队回复积极,并透露了相关路线图。
AI 锐评

ZapDigits切入的是一个拥挤但痛点明确的赛道——营销数据整合与可视化。其宣称的“一键连接”和“实时数据”并非技术壁垒,众多竞品早已实现。产品的真正价值可能不在于技术独创性,而在于其精准的定位和场景化封装:它明确服务于营销机构和初创公司,直指其“为客户制作报告”这一高频、高耗时、低满意度的核心场景。

从评论看,用户最关心的并非基础连接能力,而是“白标定制”、“多客户视图”和“模板复用”这些高度贴合机构业务需求的特性。这揭示了产品的潜在护城河:它能否从一个数据连接器,深化为嵌入机构工作流、提升其服务交付效率和专业形象的“客户报告操作系统”。团队在回复中确认了白标功能,并计划让用户保存自定义模板,这是正确的方向。

然而,风险同样明显。首先,重度依赖第三方平台API,在数据获取稳定性、成本以及应对Google等巨头政策变更时存在脆弱性。其次,在功能上与更通用的BI工具(如Power BI, Looker Studio)以及垂直竞品存在重叠,需持续证明其针对营销机构场景的体验和效率优势远超通用方案。最后,“All-in-one”的口号意味着无尽的集成需求,开发资源将被持续牵引,需警惕陷入功能广度与深度、大客户定制与产品标准化之间的拉扯。

总体而言,ZapDigits若能在满足机构品牌化、批量化客户报告管理需求上做到极致,并构建围绕“客户协作”(如评论、任务指派)的轻量级工作流,则有机会从一个不错的仪表盘工具,升级为营销服务机构不可或缺的“客户数据门户”。其成功与否,关键在于能否在“集成数量”的军备竞赛之外,构建更深层次的、难以被简单复制的业务流程价值。

查看原始信息
ZapDigits
ZapDigits is the all-in-one marketing dashboard built for Agencies, Startups, and founders. Connect your Meta Ads, Google Ads, GA4, Search Console, CallRail, Google Sheets, and 20+ other tools with a single click, and instantly see all your data in real time. No more scattered spreadsheets, last-minute reporting. ZapDigits brings all your marketing metrics together in one place. Share interactive dashboards with your team or clients, track tasks, and make smarter decisions faster.
Hey Hunters!, We built ZapDigits for agencies and marketing teams who spend hours every week pulling marketing data from different platforms just to keep clients updated. With ZapDigits, you can connect Meta Ads, Google Ads, GA4, Search Console, CallRail, Sheets, and 20+ other tools with a single click—and see all your marketing metrics in real time. No more scattered spreadsheets, last-minute reporting, or manual updates. Dashboards update automatically and can be shared instantly with clients. We’re thrilled to help agencies save time and focus on growth. Would love to hear what you all think!
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@malithmcrdev Congrats on the launch 🚀

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You already have a #1 product of the day badge on your website. Feels like you are getting another badge.
Time to make space for another :)

Jokes apart, you have a good product. Keep going!

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Haha @chilarai going for another one brother.

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I Love ZapDigits, I can consolidate everything I need into one dashboard and not have 10 different tabs open. The team are very active and continuously updating the platform.

Congrats @malithmcrdev @mandy_ms

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@umar_lateef Thank you for the support!

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Thanks, Umar!

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Congratulations on the Product Hunt launch! 🚀 We've been using Zapdigits for a couple of months now and love the new UI/UX and the many data sources being added. I highly recommend it if you're looking for an all-in-one dashboard that includes analytics, custom reporting, API, and much more.
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Thank you@sam_jesani . Appreciate your support from the start.

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Interesting tbh, because i am a technical person this will definitely help me with the commercial side!! Thankss
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Thanks @jaber23 . Let us know what you think about the product!

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Woah, All in one suite dashboard. Love it. Looking forward to explore the complete dashboard!

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@istiakahmad Thank you!

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This solves a real pain for agencies. Manual reporting is such a time-killer. Great launch!

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Thank you @abod_rehman 

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Handy dashboard! Congrats on launch!

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Thanks @ruvik_milkis 

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Congrats.. amazing product .. will be testing this one 🔥🔥
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Thanks Marios, Let us know what you think.

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This tool streamlines marketing analytics for teams that lack the bandwidth to build custom data pipelines, turning fragmented metrics into a cohesive, usable resource.

Do you plan to add integrations with additional marketing tools (e.g., LinkedIn Ads, HubSpot CRM) to expand coverage? Also, will agencies have white-labeling options to customize dashboards with their brand identity (logos, color schemes) for client-facing use?

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Hey Nann, Yes we have LinkedIn Ads and bunch of other data sources in our roadmap: https://www.zapdigits.com/roadmap

Yes, agencies can already customize their dashboard with they own branding.

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Interesting one @malithmcrdev Pulling Meta, GA4, CallRail, Sheets, and everything else into one place makes daily work a lot easier. how do you handle custom views when an agency wants to share dashboards with different clients?

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Hey @ciril_raj , we have multi client feature. You can create as many as clients possible and switch easily with any client.

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Not a marketing expert, but this looks beginner-friendly enough for me to try.

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Hey@minsoo_park , Yes our goal is to simplify as much as possible

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@ZapDigits Client ready dashboards without spreadsheet chaos is exactly what agencies need. The real time aspect is key for client reporting.

How customizable are the dashboard templates? Can users white label these for their clients?

Curious about data source integrations beyond the usual analytics platforms.

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Hey Vimal,


Currently we have limited templates but our plan is to let user save any dashboard as a template so they can re-use the same dashboard for other clients. This will rollout soon.

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Super impressive how fast everything updates. Are there any limits on the number of data sources?

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Hey @suvinlee_trav , Thanks you for the support. For the Agency plan there is no limits for data sources.

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Juggling data across a bunch of different marketing platforms has always been a pain, so it really feels like you’re tackling the right problem here. And being able to just share dashboards with clients? That’s honestly a pretty awesome touch.

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Thank you@zi_woo 

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Love the fact that you built in a Kanban - no more needing to switch apps while I’m working through marketing activities. Well done!
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Thank you for the support@nathan_darma 

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Hey Malith @malithmcrdev ,


Congrats on the launch of ZapDigits! It looks like an excellent solution for agencies to save time and streamline reporting.


How’s the response been so far? Curious to know what kind of marketing goals or strategies you're focusing on to spread the word about ZapDigits! Would love to hear more about your approach."

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Hey Muhammad,

Thank you for the support. Things are going well so far, and I’m currently putting a strong focus on outbound.

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Congrats on the launch! Real-time dashboards without the usual spreadsheet chaos sound like a huge win for busy agency teams. Which integration ended up being the most requested?

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Hey Viktor, Meta ads were the most used and requested one.

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Congrats!
This is much needed. Bouncing between multiple reports and spreadsheets is a pain

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Thanks@bryce_york_ag . I totally agree!

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Hi everyone!

It's been really fun working on our product and making it better and better. So many exciting new features have been added since our last launch:
New data sources, dashboard sharing for easy reporting, automated emails, custom branding options, template dashboards to get started, Google Sheets and datasets, website analytics + SEO, task management...

We have many more plans for ZapDigits and hope some of you will be along for the ride. Feel free to visit our website and check out our product (we have a free trial). We would love to hear your thoughts!

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Let's goo @mandy_ms  !

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Interesting project! Have you considered adding an AI-driven insights feature? For example, I recently had a case in my startup: traffic from China and Singapore suddenly spiked. At first, I thought someone had written about us there, but I didn’t have time to investigate. A week later, I brought in a marketer who said it was bots, as all users spent 0 seconds on the site. Then I involved a DevOps engineer, and it turned out they were bots disguised as Apple and Microsoft bots, bypassing Cloudflare protection. A lot of time and money was wasted, although AI could have made this conclusion instantly, on day one.

I think such insights should appear in every analytics service. It makes things much easier, especially for those who don’t want to dive deep.

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Hey Mykyta, This is such a clear problem to solve. We were not planing to add this but now you gave me the idea. Thank you

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I could see how our tool could streamline user engagement by integrating Zapdigits’ verification flow, and I’m definitely going to take a closer look at their launch to see how we can make this work together.

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Sounds amazing James. Feel free to reach out to me on LinkedIn or Twitter.

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Love the $2 entry point. Get something. It speaks volumes

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@osakasaul Hi Saul! Indeed, we are currently running a Black Friday deal offering great discounts and deals on our regular pricing (especially when selecting yearly billing).

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#6
Once UI 1.5
Open-source designs for interactive + animated interactions
297
一句话介绍:一款为独立开发者提供开源、可交互动画UI组件的工具包,通过内置天气、粒子等视觉特效和实时数据图表,解决了产品界面缺乏表现力与个性、动效开发效率低下的痛点。
Open Source User Experience Developer Tools GitHub
开源UI工具包 交互式设计 动画特效 实时数据可视化 前端开发 设计系统 独立开发者 Next.js 设计工程 情绪化界面
用户评论摘要:用户普遍赞赏其美学与表现力,认为它将界面提升为“体验”。核心关注点包括:与Vibe Coding等AI工具的集成潜力、对WordPress等非代码平台的兼容性、跨框架性能与响应式优化、开发中最难构建的部分(MatrixFx),以及产品核心价值主张(是“更快交付”还是“设计-开发对齐”)的精准传达。
AI 锐评

Once UI 1.5的野心,远不止于又一个组件库。它精准切入了一个被主流设计系统长期忽视的缝隙:**“情绪”与“生命力”的工程化实现**。当Ant Design、Material UI致力于解决一致性、可用性与效率时,Once UI则试图回答:在功能之上,如何让数字界面拥有呼吸、氛围与独特的品牌人格?其提供的天气、粒子、矩阵粒子等“情绪化特效”,本质上是将以往高成本、高定制化的高级视觉动效,封装成了可被普通开发者“几行代码”调用的公共品。

然而,其真正的挑战与价值也在于此。首先,**“表现力”与“性能/可访问性”存在天然张力**。评论中提及MatrixFx组件需要“极其谨慎的优化”,恰恰暴露了将复杂画布动画普及化所伴随的技术风险——它可能成为硬件的负担,也可能对无障碍访问造成障碍。其次,其定位看似聚焦“独立开发者”,但评论中频繁出现的关于Webflow、Figma、团队对齐的疑问,反映了市场对其实际应用场景的困惑。官方回复坦承主要用户是“从模板或复制粘贴块开始”的独立开发者,这揭示了其现阶段更接近一个**高审美、高表现力的“原型强化工具”或“精品启动模板”**,而非企业级的设计系统基础设施。

它的出现,标志着前端UI工具开始从“功能与效率”竞争,向“表现力与情感化”竞争演进。其价值不在于替代主流系统,而在于提供一种**风格化补充**,并试图证明:代码的“艺术性表达”同样可以拥有工程化的范式。成功与否,取决于它能否在维持独特美学的同时,构建起稳健的性能边界与清晰的使用场景认知,避免沦为华而不实的“技术奇观”。

查看原始信息
Once UI 1.5
Once UI 1.5 is about bringing wonder back to UI engineering. We’re introducing new visual effects — weather, particles, matrix-style dots — all drop-in and usable in just a few lines of code. You also get a new generation of chart types built for live data and real-time dashboards. Only in Once UI. A toolkit for indie builders who want their product to feel alive, expressive, and unmistakably theirs.
Thanks for stopping by. Once UI 1.5 grew out of the same curiosity that drives https://designengineers.club — experiments in motion, mood, and how interfaces feel, not just how they look. This update is our step toward more expressive, living interfaces: weather systems, particle fields, new forms of charts for real-time data. Ask me anything — happy to share the thinking behind it.
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@lorant_one Awesome update man, love it.

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@lorant_one Awesome, helpful
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@lorant_one It looks so stylish! Congrats!

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Love how 1.5 continues the core Once UI philosophy - interfaces with mood, motion, and personality.


The weather + particle effects unlock so many expressive use-cases, especially paired with the new real-time data charts.

Proud to be contributing. Every update feels like we’re bending code into something living.

Once UI is the first toolkit that actually feels like art. ✨

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@aryantechie The weather effects, the particles, the motion primitives… They’re the kind of details that turn an interface into an experience, not just a layout.

I’m glad we get to build this together. We’re not just shipping features — we’re shaping a new way to express ideas through code.

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Love what you’re doing with Once UI. How does Vibe Coding (MCP) integrate with Once UI? Can I use it to auto-generate UI components directly from design tokens?

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@getsiful Vibe Coding works really nicely with Once UI because you can point the MCP server to the documentation (guide here).

If you’re starting from one of our templates (portfolio, ecommerce, landing page, dashboard), the model gets strong context about the design system structure — spacing, tokens, components, naming, conventions, etc.

From there, you can:

  • ask the agent to scaffold new UI using Once UI components,

  • generate pages that follow the design tokens,

  • refactor or extend existing components,

  • or use our copy-paste blocks as building primitives for new screens.

The more Once UI code you have in your repo, the better agents understand the patterns — and the more accurate the generated components become!

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Very useful; it would be interesting to see how it performs in real time! Congratulations on the launch!

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@ruvik_milkis Thank you - you can check some examples on the Once UI Hub, and many amazing apps are about to be released in the upcoming months, so stay tuned!

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Congrats.. big fan of design systems.. 🚀🚀
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@dessignnet Thanks! Hope you'll like Once UI's unique approach to simplifying design and development :)

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This looks super nice - as an absolute beginner when it comes to all this stuff, can one use Once UI to create beautiful elements for their Squarespace/Wordpress site?
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@nathan_darma Once UI is built on top of Next.js, so it's unfortunately not compatible with WordPress or SquareSpace, but we have simple, easy-to-use templates to get you started, such as Magic Portfolio :)

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@lorant_one that sounds great! Thanks for the reply 😊
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Seems like a great alternative to doing it manually! I'm excited to have these for our UI

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@thecarguy Happy to hear! Let me know how the integration goes.

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Love the update! Which part of UI 1.5 was the hardest to build, the weather system or the particle fields?

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@abod_rehman Appreciate it! I would say it was the MatrixFx, a canvas based component that can be customized with props (density, strength, colors, flicker, etc.) - it's really heavy and required very careful optimization to provide a smooth visual effect while being easy on the hardware.

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Nice launch—Once UI for Figma nails a key productivity gap for design teams. From a clarity/hook perspective: when a product team lands on your page for the first time, what’s the one statement you want them to believe in the first 10–15 seconds?
Is it:
• ‘Design teams ship 2-3x faster with one UI system.’
or
• ‘Your design + dev stay perfectly aligned from day one.’
Because in UI systems the difference between “we built many components” and “you get an aligned team” often kills product adoption. Curious how you’re phrasing that moment for Once UI.

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@joydeep_pandey Thank you! Most of our users are indie builders who rarely start in Figma, but prefer to kickstart with either templates or copy-paste blocks, so I would say it's "Ship production code faster". That said, we have a very nice, polished and free Figma library that can help product teams with alignment, design prototyping and collaboration. It's just not the most common use case among our community members, so we put less emphasis on this aspect on the landing page :)

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his toolkit empowers indie builders to elevate their product’s UI personality without sacrificing development efficiency.

Do you plan to expand compatibility with additional frontend frameworks (e.g., React Native) to enable these components in mobile apps? Also, will there be pre-built UI templates that combine these animated effects with common layout patterns (e.g., SaaS onboarding flows)?

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@lorant_one Open source interactive designs are valuable for the community! Animated interactions can be tricky to get right.

How do these designs perform across different frameworks? Are they optimized for Framer, Webflow, or code first implementations?

Would love to see how these handle responsive behavior.

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I could see how our tool could pair nicely with what Once UI offers, and I’ll go take a closer look at their launch to explore how this might streamline our interface needs.

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@jamesjacksonleachatx Sounds neat, what are you building? If you have any question abour our product, I'm always happy to answer!

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Cool! We use React as the main frontend framework. Very useful, thanks.

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congrats! looks nice. QQ - does it support webflow and other types of implementation?

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#7
TrueFoundry AI Gateway
Connect, observe & control LLMs, MCPs, Guardrails & Prompts
291
一句话介绍:TrueFoundry AI Gateway 是一个面向生产环境的AI控制平面,通过统一连接、监控和管理LLM、MCP、护栏及提示词等组件,解决了企业在规模化部署AI代理时面临的治理、可观测性、成本控制和合规性等核心痛点。
API Developer Tools Artificial Intelligence
AI网关 控制平面 LLM运维 可观测性 成本治理 企业级AI 代理编排 合规安全 MCP管理 生产就绪
用户评论摘要:用户普遍认可其作为统一控制平面的价值,关注点集中在与开源方案(如LiteLLM)的差异化、具体功能细节(如链路追踪、故障转移、数据合规)、集成便捷性以及生产环境验证。主要提问涉及竞品对比、技术实现细节和部署计划。
AI 锐评

TrueFoundry AI Gateway 的亮相,远不止是又一个“LLM路由层”。它精准刺中了当前企业AI规模化部署中最隐秘的痛处:从原型到生产过程中,因组件激增而失控的“胶水代码”地狱。产品将模型、MCP、护栏等离散组件抽象为可统一治理的要素,其真正价值并非简单的聚合,而在于构建了一个具备强制约束力的“控制平面”。

这一定位使其与OpenRouter、LiteLLM等以模型接入和成本优化为主的工具划清了界限。后者是“连接器”,而TrueFoundry意在成为“中枢神经系统”。它通过内置的细粒度追踪、基于规则的成本与内容管控、以及复杂的数据驻留策略,将原本散落在各处的运维、安全、合规责任收归平台。这直接回应了企业平台团队的终极诉求:在赋予业务团队AI创新自由的同时,牢牢握住治理的缰绳。

评论中透露的“已被10余家财富500强用于数千代理”是关键背书。这证明其解决的不是臆想问题,而是真实生产环境中涌现出的、关于审计、身份、数据主权的刚性需求。然而,挑战同样明显:在开发者习惯使用轻量、开源工具进行早期探索的生态中,如何证明引入一个重量级控制平面的长期ROI?其成功将取决于能否在“强大管控”与“开发者体验”之间找到最佳平衡,避免因过度复杂而遭一线开发者抵触。它瞄准的不是草创团队,而是那些AI应用已深入业务肌理、痛感强烈的成熟企业,这是一场针对企业AI“深水区”的精准卡位。

查看原始信息
TrueFoundry AI Gateway
TrueFoundry’s AI Gateway is the production-ready, control plane to experiment with, monitor and govern your agents. Experiment with connecting all agent components together (Models, MCP, Guardrails, Prompts & Agents) in the playground. Maintain complete visibility over responses with traces and health metrics. Govern by setting up rules/limits on request volumes, cost, response content (Guardrails) and more. Being used in production for 1000s of agents by multiple F100 companies!

Hey Product Hunt, Anuraag here, co-founder at TrueFoundry 👋

When we first thought about a “gateway”, we imagined a simple LLM routing layer in front of models. Pick a model, send traffic, switch if needed. Easy… or so we thought.

Once teams started putting agents and MCPs into production, we realised the hard stuff wasn’t just about routing. It is:

  • Different MCP auth flows for every internal system.

  • Traces & logs that break once you chain models, tools, and agents

  • Data residency and “this data must stay in this region” rules,

  • Security asking “who called what, when, with which payload?”,

  • Product teams need to swap models without rewriting everything.

So the “router” slowly turned into a proper control plane that sits between your apps, LLMs, and MCPs - making sure traffic is reliable, auditable, compliant, and still fast for developers to ship on.

Today, TrueFoundry’s AI Gateway sits at the center of production traffic across 10+ Fortune 500s, powering their internal copilots and agents while platform teams use it to keep costs, safety, and observability under control - rather than maintaining a pile of custom glue code.

🔗 Sign Up Link: Please try and give us feedback! 🙏
🎁 Launch perk: 3‑month free trial for the PH community


If you’re wrestling with MCP auth, logging, or data policies, drop your setup in the comments - curious to see how you are wiring your stack today!

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@agutgutia Super insightful breakdown. It’s wild how a ‘simple router’ turns into a full-blown control plane once you hit real prod complexity. Excited to try this out!
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@agutgutia Love it. Identity is the new control plane for agentic AI. this gateway is glueing all components in a seamless way for enterprise use.

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That’s a strong value proposition. A unified control plane with real governance, cost controls, and full traceability is exactly what most teams lack when scaling agents past prototypes. The fact that it’s already running thousands of agents in production for F100 companies adds real credibility.

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@vik_sh We’re incredibly excited about the future of AI gateways - one unified control plane that seamlessly manages models, MCPs, and agents. We believe this will become one of the most critical layers of modern AI infrastructure.

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@vik_sh Absolutely — that’s what makes it stand out. Most teams can hack together prototypes, but scaling to reliable, governed, cost-efficient agent operations is where everything usually falls apart. Having a unified control plane with built-in governance, observability, and cost management solves the exact gap enterprises struggle with. And the fact that it’s already battle-tested with thousands of agents in production for F100 companies really reinforces that it’s not just theory — it’s proven

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It seems useful from security and monitoring perspective, the fact that we get detailed traces could help. I wonder what all gets traced here?

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@shrey_shrivastava We provide very detailed traces with LLM, MCP, Guardrails, etc invocation

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@shrey_shrivastava  Basically, AI Gateway is the entry point to all components like - models, MCPs, Guardrails & Prompts and all of those get traced here. Some examples,

  • If a request went to the LLM, ended up invoking an MCP server, and then implement a guardrail - you will see all of them logged in the traces.

  • You get to see your prompts, completions, tool call results, latency, time to first token etc.

  • If one of your model fallback or rate-limiting rules got applied - that also gets captured in the traces and these will also be flagged separately.

Besides these, you can also monitor aggregate metrics at request level, MCP level, guardrail level where you can observe costs, error rates, overall latency and you can dissect these by users, models, or any custom metadata as well.

Please provide feedback if you ideally wanted something else to be logged / traced that we are not covering here. One of the major goal of this launch with us is to collect feedback on the product! :)

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Who is your main competitor and how does TrueFoundry AI Gateway differentiate itself from them?

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@danagoston For competitors, we usually encounter incumbent API gateways or internal, in-house gateway solutions. They start out simple but quickly become complex to build and maintain - especially when it comes to data residency, advanced configurations, and overall time to market.

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Great launch! The AI Gateway brings all the moving parts of agents into a single, production-ready control plane. As someone building Swytchcode for API workflows, I love seeing infra like this push the ecosystem forward.

Excited to see this climb the charts!

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@chilarai Thank you for your support! Swytchcode and Truefoundry are both critical pieces of infrastructure for today's time.

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Great work on the launch!

Curious…how seamless is it to integrate existing internal copilots or agents without modifying their current workflows?

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@_muzammil_kt integrates seamlessly with any copilot or agent - anything built on OpenAI compatible endpoints - without requiring changes to your existing workflows.

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Really cool! Quick question — how does fallback actually work under the hood? Does the gateway retry with a secondary model automatically?

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@bhavesh_patel1 You need to enable routing config for enabling fallback.  If a model fails with a non-retriable error (401, 403, 5xx) - we fallback to the fallback models. If there is a spike in errors in the model, we mark that model unhealthy and it is sent to "cooldown" mode for 5 minutes.

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@bhavesh_patel1 nice
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I have used OpenRouter, LiteLLM, Vercel AI Gateway, how is it better than those? Just trying to understand, specifically from a developer perspective.

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@iamshnik OpenRouter allows you to talk to different models without signing up on different providers. Vercel AI gateway works similarily for models.
Truefoundry and LiteLLM are AI gateways where user brings their own keys and this can be self-hosted within the enterprise. We also provide complete observability by default, load-balancing, rate-limiting configs that can automatically switch your application when a model provider is down. It also adds a prompt management layer where in the gateway itself can substitute the prompt for you, making your client side code very small. It also enables you to talk to multiple MCP servers with a single token - so that as a developer you don't need to worry about implementing token management

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Looks like a good platform for the AI governance. One api key, one endpoint, multiple models, consistent logs + metrics. This saves so much mental overhead.

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@raveena_venugopal That mental overhead you mentioned is exactly what kept coming up in our conversations with teams. The moment you go from “one model in dev” to “multiple models + environments + guardrails + logs,” everything suddenly feels scattered and hard to govern.

We wanted the Gateway to feel like turning chaos into one clean control panel:

  • One API key and endpoint - no more juggling provider SDKs

  • Unified logs + metrics - finally compare behaviour across models

  • Central governance → permissions, cost controls, guardrails all in one place

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Congrats on the launch, this looks really well thought out!

I’m curious about your approach to regional data rules - can customers control where data at rest is stored so it complies with local regulations (EU, US-only, etc.)?

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@dhruv_bhardwaj1 Totally! You can attach your own storage bucket in that particular region to ensure your data compliance needs are met.

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@dhruv_bhardwaj1  Yes, you can configure the destination where you data at rest is stored. You could also have our Gateway run on-prem where even your data-at-motion can be within your VPC and fully in control on which region you want to spin up your Gateway in.

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Finally, an AI Gateway that brings order to the LLM chaos! Love the unified API access and critical cost controls like semantic caching. Congrats @agutgutia and TrueFoundry team!

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@kshitijdixit9 Really appreciate it! A lot of teams are using the Gateway for cost visibility, deep observability and monitoring, and consolidated billing - all the things that get painful once you scale LLM usage. Glad the value resonates!

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Looks solid. What could be the inherent advantage though against setting up something like LiteLLM which I believe is open source?

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@vysakh_t Great question! LiteLLM is awesome for getting started, but teams quickly outgrow it as they scale.

What we focus on is everything needed for production-grade, enterprise AI:

  • Multi-region + low-latency routing and data residency guarantees

  • Deep observability — per-tool/per-model traces, guardrail logs, cost metrics, MCP-level telemetry

  • Enterprise-grade auth (OAuth2, DCR, , RBAC) and secure MCP server management

  • Reliability features like automatic failover, fallback routing, and rate-limiting by model/team/user

  • Support + SLAs that large enterprises require when AI becomes mission-critical

LiteLLM is great for experimentation — TrueFoundry is built for operating AI at scale across many teams, regions, tools, and compliance environments.

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Looks solid. We’re building agentic workflows at Evatar, so I’m definitely curious to see how your Gateway handles guardrails and multi-model routing in real production. When are you planning to open it up for broader access?

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@tima_fey Thanks! Definitely a lot of synergies here. Gateway is a very critical piece while putting agentic flows in production. We are opening up next week :)

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Congratulations on the lunch. Best wishes for the team TrueFoundry

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@getsiful Thanks for your support! Would love for the team to try out the product post launch.

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congrats!!!

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@madalina_barbu Thank you for your support!

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Hello Product Hunt Community, Nikunj - cofounder & CEO.

Today's launch is super close to my heart, not just as a product but as a package of learnings we have been fortunate to accumulate working with Enterprises. Those who have been building at cutting edge, and have shown the courage to reverse decision they previously believed to be correct. Best illustrated through an example of a real customer conversation with timelines.

June 2024: Customer (building a scaled use case): "We will never use Gateway. It lies on the critical path of the request and is such a thin layer that we will own this part ourselves. Model inferencing, GPU management is a different story".

Sep 2024: Customer (As Sonnet, o1 were getting launched): "These APIs keep changing, models keep getting outdated - Gateway is becoming a pain to maintain"

Nov 2024: Customer (As other teams started to ask for inferencing): "Its one thing to support one use case through the Gateway but as we are becoming a platform, now we need a lot more visibility and control layer".

Feb 2025: Customer (As the gateway went down and they started losing $6k / second): !

May 2025: Customer (As MCPs started becoming popular): "Its becoming impossible to catch up with the market, scale the Gateway reliably, and add the right controls for satisfying varying requirements from different teams. @nikunj_bajaj are you all continuing to build the Gateway?"

May 2025: Nikunj: yes, we are.

June 2025: Customer: Started migrating prod traffic to TrueFoundry AI Gateway.

July 2025: Customer: Observability, governance controls became a critical part of their workflow.

Oct 2025: Customer: First MCP driven application launched to prod.

Nov 2025: Customer (over a dinner): I remember having a conversation with you about 1.5 years back thinking we will run our own Gateway. Glad we shifted :)

We have learnt so much in terms of how to build the right design on our AI Gateway, access controls, authentication / authorization and making it compatible with existing Enterprise stacks on MCP Gateway, very difficult data residency requirements, how certain guardrails don't "just work" etc. etc.

And this launch marks the joint success of our collaboration with many other early adopters of TrueFoundry who have helped us build and shape our AI Gateway. Cheers to our customers.

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Congrats on the launch. Having a unified OpenAI compatible endpoint across all LLM providers is a game changer for devs!

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@dheerajmundhra Thanks for the support! Do try it out here https://www.truefoundry.com/ai-gateway and share feedback!

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Exciting stuff! Can you please share the roadmap?

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@akshay_siroya1 We’ve published our public roadmap to give the community full visibility into what we’re building across the AI Gateway, MCP ecosystem, and Agent platform.Please find it here - https://www.truefoundry.com/roadmap. Our focus is on agent registry, OpenAPI-to-MCP conversion, A2A protocols in the next coming months.

If you have ideas, feedback, or features you’d love to see, please drop them in - your input directly shapes what we prioritize next.

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Really cool work! Excited to see its growth!! What is the most common Guardrail rule F100 companies use to prevent unexpected agent recursion or tool-call looping?

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@swecha_sanjay07 thanks! The most common pattern we see to prevent recursion or tool-call loops is simply setting limits on how many times an agent is allowed to invoke tools within a single run.

Most teams start with straightforward guardrails like:

  • max tool-call depth (e.g., don’t allow a tool to trigger another tool more than N levels deep)

  • max tool-call count per request (stop execution once a threshold is hit)

These guardrails catch almost all accidental loops without needing anything more complex.

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As an ML engineer who’s built and deployed multiple LLM systems in production — LangGraph agents, RAG pipelines, and fairly involved evaluation/observability layers — the hardest part has always been the infrastructure glue:

  • managing multiple model providers

  • keeping logs and tracing consistent

  • tracking costs

  • maintaining prompt versions without breaking apps

What I like about TrueFoundry’s AI Gateway is that it actually solves these operational headaches cleanly. The unified API, multi-provider routing, centralised logging, cost/latency tracking, RBAC, and prompt versioning remove a huge amount of engineering effort that teams usually end up duct-taping together. It’s the kind of layer you wish existed when you’re trying to scale LLM usage across different teams and use-cases.

Really excited to see this launch — it fills a very real gap in the modern AI stack.

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@aditi_gupta35 Thank you so much - you articulated the pain better than we could. The goal of the Gateway was exactly this: remove the hidden ops burden around providers,MCPs, logs, costs, and prompt versions so teams can actually focus on building.

Really glad it resonates with someone who’s lived these problems firsthand!

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This is one of the strongest interpretations of the MCP standard I’ve seen yet.

While most implementations simply expose tools, you’ve built a managed layer that agents can reliably operate through. With secure tool access, permissioning, and consistent interfaces, this has the potential to become a solid backbone for enterprise-scale agent ecosystems. Really looking forward to seeing where the roadmap goes from here!

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@nitesh_shakya 

You’ve captured exactly what we’re aiming for. Most MCP integrations today stop at exposing tools, but real enterprise agent systems need a governed, reliable, and observable execution layer. That’s why we’re investing heavily in:

  • Secure tool access + permissioning, so agents only invoke the capabilities they’re allowed to.

  • Enforcing guardrails, logs, metrics, and auditability by default, which becomes critical once multiple agents start chaining actions.

  • A shared backbone for agent-to-agent communication (A2A) - something we’re excited to expand on in the roadmap.

As teams move toward production-grade agent ecosystems, having this stable foundation becomes the difference between a cool demo and a system you can actually trust in operations.

We’re thrilled to keep pushing the roadmap forward - especially around agent registry, A2A protocol, semantic caching, and guardrails for MCP servers. Really appreciate the thoughtful note 🙏 Sharing our public roadmap here as well - https://www.truefoundry.com/roadmap

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congratulations on the launch Anuraag!

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@fatima_rizwan Thank you for your support!

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Interesting solution, especially the prompt management system! that's something hard to find and that works properly
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@seantiffonnet Thanks Sean! Yes we have seen it to significantly add to the usability and speed of delivery of GenAI applications. Do try it out and give us some feedback!
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Congratulations on the launch, @agutgutia and the @TrueFoundry AI Gateway team! I am looking forward to trying this out. It is very timely. Does it include a RAG repository or any integrations with vector databases?

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@tim_ep1 Yes - we do support RAG out of the box. However, this is not included in AI Gateway offering.The product includes RAG templates and integrates with any vector database, so you can plug in retrieval workflows without changing your existing setup.

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So you can create an agent and connect it in your app and change models dynamically?

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@pasha_tseluyko  Yeah, models can be connected and agents can be developed through the Gateway. Currently, we don't change models dynamically but that feature is in the works.

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The developer experience look really clean! One API key, one endpoint, and access to multiply models with consistent logging is exactly the simplicity terms need. I'm curious about latency - what kind of over head should teams expect when routing through the gateway with guardrails enabled? Excited to check this our!.

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Do you plan to expand support for regional LLM providers to cater to teams with data residency requirements? Also, will the platform include pre-built guardrail templates (e.g., for PII redaction, content moderation) to accelerate compliance setup?

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@movieflow_nann We already support regional LLM providers, and teams can choose region-specific storage accounts to meet data-residency requirements. We also integrate with pre-built guardrails (PII redaction, moderation, etc.), and you can plug in your own policies as well — so compliance setups are usually fast to configure.

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Great product. This is bound to accelerate development in the agentic AI sector. Do you think your differentiation factor will remain monetizable as the market saturates and there is greater polarization towards a few key providers, diminishing the need for a complex monitoring system?

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@anubiifox Thank you! Our view is that even with consolidation among a few major providers, teams are increasingly using multiple models — smaller open-source ones for cost-efficient tasks, larger ones for reasoning, and specialized models for image, audio, or structured extraction. That fragmentation actually increases the need for a unified gateway + tracing layer.

On top of that, features like end-to-end tracing, fallback orchestration, and safety/guardrails tend to become more valuable as systems grow more complex, not less. So we see differentiation coming from helping teams manage that multi-model reality rather than just monitoring a single provider.

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Good launch. Congrats!

One question: how do you see the Gateway influencing collaboration between ML and platform teams? Does it reduce friction around deployment and oversight, or does it introduce a new coordination layer they need to align on?

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@aakanksha_saini Thanks for this question!

We have seen the gateway significantly reduce the friction between the DevOps and development teams.

The DevOps and Admin teams add Models and MCPs and set rules around rate limits, costs, response quality, fallbacks, etc. In production, they can easily monitor performance and usage.

The Developers can then see all approved models and MCPs in the Gateway registries, invoke them through a unified API, experiment with them in the playground, and view traces to track performance and debug their applications.

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This could be a real game changer, since people often neglect the problem of Query / Userbase bottleneck, with this we maybe able to scale and optimize the cost associated with hosting large language models
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@itsarunstark Very correctly said, Arun!

The gateway starts by providing visibility into costs: You can track and control costs across open and closed-source LLMs and MCP Tool calls. It also helps to optimize these costs via semantic caching.

We also have advanced features for cost management on our roadmap, like agent memory management, context compression, and more.
Check out our roadmap here: https://www.truefoundry.com/roadmap

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#8
Fellow 5.0
Botless AI meeting notes with MCP and Zapier workflows
246
一句话介绍:Fellow 5.0是一款AI会议笔记工具,通过提供无机器人(botless)录音、自定义AI总结模板以及与Zapier等工作流集成,在保障隐私和控制权的同时,解决了团队在跨平台会议记录、信息整合与自动化跟进方面的效率痛点。
Notes Meetings Artificial Intelligence
AI会议助手 会议记录 工作流自动化 隐私安全 企业协作 SaaS 生产力工具 语音转文字 会议效率 集成平台
用户评论摘要:用户普遍赞赏无机器人录音功能,认为其提升了隐私性和会议体验。对更简洁的界面和Zapier自动化集成表示期待。主要问题集中在具体技术实现(如如何识别Zoom会议)以及与内置会议助手的差异。有评论建议产品应更清晰传达其带来的核心信念转变。
AI 锐评

Fellow 5.0的迭代,表面上是功能堆砌——无机器人录音、界面优化、模板与集成,实则是一次精准的赛道卡位:在AI会议笔记红海中,主打“控制权”与“灵活性”的差异化叙事。

其真正价值并非技术突破,而是对企业采购与部署核心痛点的敏锐捕捉。隐私与合规是高管的心头刺,“无机器人”模式直接消除了AI“隐形参与者”带来的心理与管理负担。MCP服务器与丰富的API接入,则将产品从“记录工具”升维为“会议数据中枢”,让企业能安全地将会议数据注入现有AI工具链与业务系统,这比单纯的记录准确率提升更具战略黏性。

然而,其挑战同样清晰。评论中关于“与Zoom等内置功能差异”的疑问,揭示了其面临的原生平台功能侵蚀风险。其价值主张正从“更好用的笔记”转向“更安全的数据管道与流程触发器”,但这一定位是否足够锋利到穿透市场?正如一条犀利评论所指,用户需要的或许不是一个功能清单,而是一个能瞬间感知的“信念”——相信此工具能根本改变会议产出。Fellow 5.0在工程上构建了坚实的数据桥梁,但在塑造这种决定性用户体验和情感共鸣上,仍需一场更彻底的“认知发布会”。

查看原始信息
Fellow 5.0
Fellow 5.0 gives you the flexibility, privacy, and control over how you capture and leverage your meetings. It offers the flexibility of bot and botless recording, the control of custom AI recaps, and the connected intelligence of the MCP Server, all under the same secure and compliant framework.

Hey Product Hunt community! Excited to share what we have been building at Fellow.

Fellow 5.0 redefines how you capture and leverage meeting data. It’s built for teams that care about security, accuracy, flexibility, and control over how their information flows.

What’s new:

• Botless recording: capture conversations without a bot, while maintaining your organization’s governance standards 

• A cleaner, faster interface that makes it easier and faster to gather meeting insights 

• Custom AI note templates so every team can standardize how their meeting recaps look, from interviews to sales calls 

• Connect your AI tools: now ChatGPT, Claude, Cursor, and others can securely reference your meeting data 

• Smarter Zapier workflows so your recaps can trigger downstream automation instantly 

 Richer API access with transcripts, recaps, metadata, and AI notes available for custom integrations

Join us live to see everything in action today: https://fellow.ai/live/fellow-5-0-launch

Hope to see you at the launch event - we’ll be answering all your questions live!

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This looks so neat, really solid!

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Congrats on the 5.0 launch! 🎉 As an analyst, privacy is usually the biggest blocker for us adopting AI meeting tools. The 'botless' recording option is a huge UX win—it always feels a bit awkward having bots clutter up the participant list. Good luck today!
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Bam! Congrats team Fellow, making my every day meetings so much more valuable and organized

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Thank you for all your support@chris_arsenault ! We hope you enjoy this new version of Fellow and all the new features 🚀

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pretty dope release. the botless recording is a nice addition to an already premium platform.

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@jameshicks Thanks James!! Supporting Fellow since day 1 !!

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Big congrats on this launch! The cleaner interface alone sounds like it’ll save so much time.

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Thanks @abod_rehman ! We're excited to hear how you like it once you've tried it out!

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What I enjoy most about it is how it respects my workflow. I don't always want a meeting bot showing up, so the botless option feels refreshing. Pairing it with Zapier helps me keep every follow-up automated while staying in control of the whole process.

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I've been wanting a cleaner way to manage meeting notes and it finally feels like something that matches the way I work. Botless recording is perfect for me and the Zapier automation keeps everything organized without needing extra tools or complicated setups.

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As someone who cares about privacy, the botless recording in it fits perfectly into how I run meetings. I like feeling in charge of what gets captured. The AI recaps and Zapier workflows also make follow-ups easier for me without adding extra steps.

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Fantastic launch, Fellow—love how you’re making meetings more than just “another calendar slot.”

From a clarity & conversion lens: when a manager or team member opens Fellow for the first time, what’s the single belief you want them to leave with in their first 10–15 seconds?
Is it:
• “My meetings will finally lead to clear actions.”
Or:
• “Our team will spend less time recovering from meetings and more time doing meaningful work.”
Because in team productivity tools, the biggest adoption barrier often isn’t missing features—it’s whether users believe the tool will change how they feel about work.
Curious how you’re shaping that first emotional win.

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@aydin_mirzaee congrats on the launch! Looks great and love the focus on better triggering for downstream workflows. We're actually launching tomorrow with a Slack agent that automatically extracts feature requests from customer calls and lets you review and file them to Jira right from Slack. Could be an interesting integration or use case for that downstream workflow!

0
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I really like the privacy and control settings of fellow. Just curious - whats the difference in functions compared to other meeting assistant build in those meeting apps like Zoom etc?

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Hey@cruise_chen, glad to hear you appreciate the privacy and control settings in Fellow. A benefit of Fellow is that with our flexible recording options (bot & botless), you can record your meetings no matter where they happen, whether that's on a conferencing platform, an ad-hoc meeting in a huddle, or an in-person meeting. This means not only is all of your meeting data in one place to be able to extract insights, action items, and decisions, but it also means that in a single platform, you can set up your workspace controls across all meetings.

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How does it recognize to Zoom meetings? Is it a desktop app and a Chrome extension?

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Hey @pasha_tseluyko , for desktop botless recording, we detect when your mic is being used for a meeting, and then Fellow pops up a notification giving you the option to record.

For Zoom Native Capture, you'll need to connect our Zoom integration. Once you've set that up you'll see the option in Fellow to record with Zoom.

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If you’ve been watching us build Fellow over the years, you know we don’t do things halfway. But looking back at where we started and where we are today with Fellow 5.0? I’m honestly blown away.

We’ve come so far, and I am excited to show you what the team has been working on.

Join us for a live product launch event today and get a front-row seat to how we're redefining meetings: https://fellow.ai/live/fellow-5-0-launch?ref=producthunt

0
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#9
Runway Gen-4.5
A new frontier for video generation
245
一句话介绍:Runway Gen-4.5是一款顶尖的AI视频生成模型,通过提供卓越的运动质量、精准的提示词遵循和真实的物理模拟,为内容创作者、营销人员和电影制作人解决了从复杂创意构思到高质量视频快速、高效产出的核心痛点。
Artificial Intelligence Photo & Video Video Art
AI视频生成 文生视频 SOTA模型 运动质量 物理模拟 创意工具 内容创作 多步指令 快速生成
用户评论摘要:用户普遍惊叹其视频真实感和质量跃升,认为已达到“电影级”。有效评论关注:1. 能否支持多图上传;2. 对新手是否友好;3. 与旧版相比在一致性、长视频生成及渲染速度上的具体改进;4. 与其他创意工具集成的可能性。
AI 锐评

Runway Gen-4.5登顶评测榜,其宣传的“运动质量”与“物理模拟”提升,看似是技术参数的胜利,实则是一场针对“可用性”的精准突围。此前AI视频常被诟病为“精美但随机”的动图生成器,而Gen-4.5对复杂多步指令的理解,意味着它开始尝试理解“导演意图”,将生成逻辑从“是什么”转向了“如何运镜与叙事”。这是从技术炫技迈向实用工具的关键一步。

然而,耀眼成绩单背后,隐忧依然清晰。用户关于“多图上传”的诉求,暴露出其在连贯叙事和角色一致性上可能仍存短板——这正是长视频创作的阿喀琉斯之踵。评论中提及的“对象恒存”问题,更是AI视频生成领域的核心挑战,关乎逻辑与常识。Runway坦诚局限性值得赞赏,但也划清了当前能力的边界:它或许是绝佳的创意火花发生器、惊艳的短片和视觉特效工具,但距离驱动“完整电影”的工业化流水线,仍有本质差距。

它的真正价值,不在于取代传统制作,而在于重新定义“创作原型”的速度与成本。它让单人创作者拥有了快速可视化复杂概念的能力,极大地压缩了从灵感到初步视觉呈现的周期。这场竞赛已不仅是模型分数的攀比,更是对创意工作流渗透深度的较量。Runway Gen-4.5巩固了其技术领先性,但下一阶段的胜负手,将在于如何将这种“生成能力”无缝、可控地嵌入从脚本到成片的每一个环节,并真正解决“一致性”这一产业级难题。

查看原始信息
Runway Gen-4.5
Runway Gen-4.5 is the new top-rated video model (1,247 Elo). It delivers SOTA motion quality, precise prompt adherence, and realistic physics—without sacrificing speed.

Hi everyone!

Runway is back at it with Gen-4.5. The competition in the AI video space has been getting pretty intense lately, and we can definitely expect even more coming soon.

It’s now hitting #1 on the Artificial Analysis leaderboard (1,247 Elo score), but beyond the rankings, a few things stood out to me:

  • Complex Instructions: It handles multi-step prompts (like specific camera moves + timing) much better now, rather than just generating a random pretty clip.

  • Physics: They’ve focused heavily on realistic weight and momentum.

  • Transparency: I really appreciate that Runway is open about the current limitations, like object permanence issues.

Also, they shared a short clip showing the evolution from Gen-1 to Gen-4.5. It’s wild to see the difference. It really shows how time flies and how far the boundaries of our imagination have been pushed in just two years. 🤯

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It looks cool, maybe I missed it, but would be better if I could upload more than just one image.

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Maybe I'll create a full movie and premiere it in a theater. It's that realistic. :)
Really cool.

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This looks huge. I’ve been following the evolution of AI video closely, and each step has been exciting but not quite enough for real use in my own projects. Gen-4.5 seems like a different tier completely, especially with the motion realism and speed improvements. I’m genuinely excited to dive in, try some ambitious shots, and see how it holds up in real creative scenarios. Lots of ideas brewing already.

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The video quality is excellent! I’m looking forward to being able to make entire movies using AI. That would be really cool.

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I’m not very technical, but the results look amazing. Is it easy for beginners to get good clips?

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@RunwayML The AI video space is moving fast! Gen 4.5 improvements must be significant.

How does this compare to the previous version in terms of consistency and control?

Are creators finding it better for longer form content or still best for short clips?

Curious about the rendering time improvements.

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I could see how our tool could elevate its creative storytelling by pairing with Runway’s AI video generation, so I’m definitely going to check out their launch and explore how this can work together.

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#10
Hyvor Post
Simple, privacy-first newsletter platform
218
一句话介绍:一款以隐私为先、无追踪的简易新闻通讯平台,为注重用户隐私的内容创作者提供了无需监控读者行为、专注于内容分发的邮件营销解决方案。
Newsletters Open Source Email Marketing GitHub
新闻通讯平台 隐私优先 无数据追踪 邮件营销 内容分发 合规设计 团队协作 低成本 自定义设计 简洁易用
用户评论摘要:用户普遍赞赏其隐私优先理念与简洁性。主要问题与建议集中在:邮件设计编辑器的易用性与模板丰富度;平台是否提供任何替代性数据指标;邮件送达率(如是否进入Gmail收件箱);以及产品核心价值主张(是博客社区还是新闻通讯工具)的清晰度。
AI 锐评

Hyvor Post 切入了一个日益尖锐的矛盾点:在数据监控成为标配的邮件营销领域,它旗帜鲜明地打出“无追踪”牌。这并非简单的功能缺失,而是一种价值观产品化。其真正价值不在于“做了什么”,而在于“坚决不做什么”——它放弃了以读者行为数据作为核心产品乃至盈利基础的行业潜规则,试图将伦理选择转化为商业卖点。

然而,这种“自我阉割”式的定位是一把双刃剑。对于追求纯净创作、服务高隐私意识受众(如特定领域专家、非营利组织)的创作者,它是强有力的信任状。但平台也主动剥离了现代营销依赖的“证据链”,使得效果衡量回归到最原始的订阅增长与转化率等后端指标。这将对创作者的内容质量与引流能力提出更高要求,本质上筛选出了一批特定用户。

从评论看,其面临的挑战并非理念,而是落地。用户追问设计自定义、送达率等实际问题,暴露出“隐私优先”之外,它仍必须是一款好用的工具。更关键的灵魂拷问来自对其核心叙事的质疑:它究竟是一个替代Substack的出版平台,还是一个社区评论系统的延伸?定位模糊可能导致其在两个成熟市场中均难以形成穿透力。若不能将隐私优势无缝嵌入到极致流畅的核心工作流中,它可能仅能吸引一小部分“理念信徒”,而难以撼动主流市场对数据洞察的依赖惯性。它的成功,将取决于能否将“减法”做得足够优雅,让用户感觉不是“失去”,而是“解脱”。

查看原始信息
Hyvor Post
Hyvor Post is a simple, privacy-first newsletter platform. No Tracking. Just Ideas, Delivered.

Congratulations on the launch. You could have a better email design editor that will give a boost. Best wishes to the Hyvor team.

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@getsiful Thank you, and appreciate your feedback! You can completely customise your email design with Twig.

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Hyvor Post is a privacy-first newsletter platform that respects both creators and subscribers by completely eliminating tracking and data collection. Unlike traditional platforms that monitor opens, clicks, and reader behavior, Hyvor Post focuses purely on content delivery, enabling ethical email marketing. Key features: - Zero Tracking: No opens, clicks, or location monitoring. - Simple Interface: Focus on writing quality content, not navigating complexity. - Compliance: Built-in features (like double opt-in) for easy compliance. - Full Customization: Customizable email design, free subdomain, and archive sites. - Team Collaboration: Collaborate with your team members to manage newsletters, subscribers, and campaigns efficiently. - Multiple lists management: Create multiple lists to organize your subscribers. Ex: Monthly, Weekly, etc. - Migration assistance: Our team can help you migrate from other platforms easily. - Low cost
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@ishini_avindya Congrats, privacy-first email is rare when most platforms treat subscriber data as the product.

How does Hyvor Post handle analytics for creators, do you provide any metrics at all, or is it completely blind on delivery and engagement?

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Do you also offer the customisation of the newsletter layout? (I mean the UI site of the email.)

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@busmark_w_nika Hello! We allow changing the email design. The archive site (where your sends are listed) automatically adapts to these changes.

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ooh nice this looks very clean. Great stuff @Hyvor Post team

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@ansh_deb Thank you very much Ansh!

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Wow! Two launches in a single day. Great job.

You have wonderful tools

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@chilarai Thank you very much!

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Interesting idea. What about deliverability? Does it land in Gmail’s inbox or Promotions tab?

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@ishini_avindya Privacy first newsletters are refreshing! The customization question from Nika is spot on. How much design control do users have over email layouts?

Can brands maintain their visual identity without coding?

Open source is a strong differentiator in the newsletter space dominated by closed platforms.

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Congrats on the launch! Multiple lists and team collaboration without the usual data collection is a smart mix for growing newsletters. Do you plan to add any tools to help creators migrate their existing designs or layouts?

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How customizable is the visual email design? Are templates included?

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@abod_rehman Emails are fully customizable. First, there are basic options to change colors, border, etc. for non-technical users. At this moment, we do not plan to have multiple themes/templates. Then, there's code customizations for technical users (https://post.hyvor.com/docs/design). Templates are based on Twig.

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Nice launch—a hybrid between a blog and a comment community is a strong niche. From a clarity/messaging perspective, when a creator lands on Hyvor Post 2 for the first time, what’s the one belief you want them to walk away with in 10–15 seconds?
Is it:
• ‘I can build and monetize my audience just here.’
or
• ‘My content and community live under one roof.’
Because in dual-value tools the biggest risk is confusion: users wonder which problem it solves first. Curious how you’re framing that story for Hyvor.

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#11
DeepSeek-V3.2
Reasoning-first models built for agents
193
一句话介绍:DeepSeek-V3.2是一款以推理优先的AI模型,专为智能体(Agent)构建而设计,通过强大的多步推理和复杂任务规划能力,解决了开发者在构建自动化系统和处理复杂逻辑任务时面临的智能深度不足的痛点。
Open Source Artificial Intelligence
开源AI模型 智能体开发 推理优先 大语言模型 多步任务规划 工具调用集成 开发者工具 复杂问题求解 自动化系统 学术竞赛级推理
用户评论摘要:发布者热情介绍了V3.2和V3.2-Speciale两款模型的突破性能力,强调其在推理任务上的黄金级表现和面向智能体的优化设计。唯一用户评论则质疑基准测试的完整性,暗示应与Claude Opus 4.5进行对比。有效反馈集中在性能宣传的可比性上。
AI 锐评

DeepSeek此次发布的核心叙事是“推理优先”和“智能体专用”,这直接切入了当前AI应用从通用对话向垂直化、自动化发展的关键转折点。V3.2-Speciale在IMO、IOI等顶级竞赛问题上的“黄金级表现”宣传极具冲击力,试图在“最强大脑”的维度上建立技术品牌高度。然而,这恰恰暴露了其定位的微妙之处:一个在高度结构化、封闭性学术问题上表现卓越的模型,其能力能否平滑迁移至开放域、高不确定性的真实商业场景?这需要打一个问号。

其价值不在于“又一个GPT-5级模型”的宣称,而在于两点:第一,明确将“思考模式”深度集成到工具调用流程中,这可能是构建可靠智能体的基础设施级改进。第二,坚持开源并配套发布包含1800+环境的训练管道,这降低了高级智能体的开发门槛,试图构建开发者生态。

但风险同样明显。“Speciale”版本仅通过临时API提供,更像是一次大规模技术路演而非成熟产品。评论中关于基准测试的质疑虽简短,却尖锐地指出了行业通病:选择性对比。若想真正成为“智能体时代的基础模型”,DeepSeek需要在更透明、更全面的评估框架下证明其鲁棒性,而不仅仅是展示在特定谜题上的惊人解决能力。其真正的试金石,将是开发者在复杂、混乱的真实世界中构建的智能体,能否稳定、可靠地工作。

查看原始信息
DeepSeek-V3.2
We’re on a journey to advance and democratize artificial intelligence through open source and open science.

Hey Hunters, I am excited to hunt DeepSeek-V3.2 & V3.2-Speciale! 🔥

DeepSeek just dropped two powerful reasoning-first models built especially for agents — and they are seriously impressive.

🚀 What’s new?

  • DeepSeek-V3.2: The official successor to V3.2-Exp — your new daily-driver with GPT-5-level capability.

  • DeepSeek-V3.2-Speciale: A max-reasoning beast that rivals Gemini-3.0-Pro. API-only for now.

🧠 World-Class Reasoning

  • V3.2-Speciale hits gold-level performance across IMO, CMO, ICPC World Finals & IOI 2025.

  • Designed for deep reasoning, long-chain planning & complex multi-step tasks.

🤖 Thinking in Tool-Use

  • New agent-training pipeline with 1,800+ environments & 85k+ complex instructions.

  • DeepSeek-V3.2 integrates “thinking mode” directly into tool-use — powerful for builders.

💻 API Highlights

  • Same usage as V3.2-Exp.

  • Speciale served via a temporary endpoint until Dec 15, 2025.

  • Same pricing, but uses more tokens due to advanced reasoning.

🛠 Open-Source Release

Both models are fully available on Hugging Face for developers to tinker with.

If you’re building agents, automation, or reasoning-heavy systems — this update is a game-changer. Happy to answer any questions! 🚀🔥

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Claude opus 4.5 needs to be in these benchmarks
0
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#12
beLow
Inline insights with C/C++ that shows CPU, memory, energy
180
一句话介绍:beLow是一款通过AI自动分析并优化C/C++嵌入式代码性能的工具,在汽车、航空航天、机器人等对性能要求苛刻的开发场景中,帮助开发者自动定位性能瓶颈、生成硬件感知的优化代码,从而大幅削减手动调优时间,提升执行效率并降低能耗。
Developer Tools
嵌入式开发 AI代码优化 性能分析 C/C++ 硬件感知 能耗优化 静态动态分析 开发效率工具 边缘计算
用户评论摘要:用户肯定其解决手动优化痛点的价值,并关注产品核心价值主张(是“获得可衡量的性能提升”还是“工具真正理解我的硬件栈”)。团队回复强调其自动化与硬件感知能力。另有用户询问多平台支持(已支持多种架构)和内存泄漏检测等扩展功能。
AI 锐评

beLow的亮相,看似是AI代码生成浪潮在嵌入式这一“硬核”领域的自然延伸,实则精准地刺入了一个长期被忽视的真空地带:在硬件资源极端受限、性能与功耗锱铢必较的嵌入式开发中,通用AI代码助手往往因缺乏对具体硬件微架构、内存时序、指令集特性的深刻理解而显得隔靴搔痒,甚至可能生成看似正确实则低效或不可靠的代码。

其真正的颠覆性价值,不在于“生成代码”,而在于构建了一个从“具体代码”到“具体硬件”的闭环分析优化管道。通过结合静态分析与在目标硬件上的动态剖析(测量CPU周期、内存模式),它让AI的优化建议建立在真实的、可量化的硬件行为数据之上,而非泛化的编程模式。这解决了嵌入式开发最核心的信任问题——开发者需要确信优化建议是基于其芯片的缓存行大小、流水线特性,而非教科书理论。

然而,其成功的关键挑战也在于此闭环的深度与可靠性。评论中关于“理解我的硬件栈”的提问一针见血。工具能否真正覆盖不同MCU厂商、不同型号间细微却关键的差异?优化建议在追求峰值性能时,是否会牺牲代码的确定性或实时性?这些是嵌入式领域的生死线。此外,将复杂的硬件依赖“黑盒化”给AI,在带来便利的同时,也可能导致一代开发者对底层原理的疏离,这在安全至上的领域可能引发新的风险。

总体而言,beLow代表了一个正确的方向:将AI从“语法糖生产者”转变为“系统级协作者”。它的前景不取决于生成了多少行代码,而取决于其硬件行为模型的精确度,以及它能否在提升性能的刚性指标与保障代码可靠性、可预测性的软性要求之间,取得嵌入式工程师们认可的平衡。早期用户报告的性能提升数据令人印象深刻,但真正的考验在于,它能否在更复杂、更严苛的工业级项目中,持续稳定地交付这种“理解”,并赢得保守但务实的嵌入式社群的长期信任。

查看原始信息
beLow
beLow automatically analyzes your C and C++ embedded code to identify performance bottlenecks and generate optimized code tailored to your target hardware. Slash execution time, reduce energy consumption, and accelerate time to market. Designed for developers building in automotive, aerospace, robotics, and other performance-critical systems, beLow simplifies the complex work of embedded code optimization so teams can focus on innovation, not fine-tuning.

Hey Product Hunt! 👋

After years fighting performance bottlenecks in embedded projects — spending endless time hunting for the right computation path, the right variable type, or the right compiler flags for a specific hardware target — we wanted a tool that finally connects real hardware constraints with modern AI.

That’s why we built beLow.

It analyzes your C/C++ code on your own hardware target, measures actual CPU cycles, memory patterns, and instruction-level behavior, and feeds all of that directly into AI agents that propose optimizations or even generate hardware-aware code.

What makes it different?

Most AI tools generate generic code with no understanding of embedded constraints. beLow is fully hardware-aware, runs locally, and blends static + dynamic analysis to surface concrete, measurable gains. Early users in automotive, aerospace, and IoT are already seeing execution-time improvements of up to 45%.

To celebrate our Product Hunt launch, we’re opening our software and giving PH users priority onboarding + extended free usage.

If you want faster, leaner embedded code:

👉 Install the VS Code extension

👉 Run the MCP server

👉 Analyze, optimize, or generate code instantly

We’d love your feedback — help us shape the future of AI-guided embedded development. 🚀

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Impressive launch, beLow. When a firmware or embedded dev opens this tool for the first time, what’s the single belief you want them to hold in the first 10-15 seconds?
Is it:
• “I’ll get measurable performance gains without diving into hardware micro-optimization myself.”
Or:
• “This tool understands my hardware and my constraints out of the box.”
Because in embedded optimization tasks, the belief that a tool gets me and my stack often matters more than whether it supports 50 hardware targets.

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@joydeep_pandey Great question — and you’re absolutely right: in embedded, trust that the tool understands your stack matters more than long feature lists.

Yes, there are a few initial steps to set up the project and select the target platform — but once that’s done, everything becomes automated: analysis, and the optimized code suggestions (or generation) tailored to the specific MCU/CPU.

You no longer have to fight with finding hardware specific optimizations — beLow handles them for you, aware of your hardware constraints.

1
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Really smart tool. When beLow generates “optimized code tailored to target hardware,” does it support multiple target platforms?

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@getsiful Absolutely — beLow supports multiple hardware targets.

You can choose the platform directly in the project settings (ARM Cortex, x86, PowerPC, and Infineon Tricore among others), and the optimization engine adapts the generated code to the instruction set, memory model, and performance constraints of each target.

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This is huge for embedded teams — manual optimization is always the biggest time sink.

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Amazing! Great to see something for C/C++.
Can it detect memory leaks alongside optimization?

0
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#13
Cumbuca
Develop your own payments infra in Brazil using our license
170
一句话介绍:Cumbuca 作为巴西受监管生态的“代理”,让金融科技公司无需耗时数年获取支付牌照,即可直接接入Pix和开放金融系统,在保持完全运营控制和数据自主权的前提下,快速构建和定制自己的支付基础设施。
Fintech Payments Banking
金融基础设施即服务 支付牌照代理 巴西开放金融 Pix支付接入 监管合规解决方案 B2B金融科技 支付系统定制 牌照即服务 金融科技赋能 巴西市场准入
用户评论摘要:用户普遍认可产品解决了“自主权与快速上线”的核心矛盾,赞赏其提供官方API直接访问的灵活性。创始人详细回应了此前B2C业务因依赖合作伙伴而无法及时解决用户问题的痛点。有评论询问产品希望传达的首要信念,创始人强调是“像持有牌照一样灵活开发”。
AI 锐评

Cumbuca 的“监管代理”模式,本质上是一场对金融科技基础设施权力结构的精巧解构。它没有选择成为又一个提供抽象化API的“黑箱”BaaS平台,而是将自己降维为一个最小化的合规与签名层。这使其价值主张异常锋利:它出售的不是功能,而是“合规准入资格”和“原生控制权”。

产品的真正颠覆性在于,它精准切中了成熟金融科技公司的进阶痛点:从“快速上线”的需求,升级为“不受制于人”的需求。创始团队从B2C业务中获得的切肤之痛——因底层依赖而无法掌控用户体验——转化为B2B产品的核心哲学。他们不提供标准化的“自行车”,而是提供进入“赛车场”的资格和规则手册,让客户自己造车、自己驾驶。这种模式筛选出了高净值、高复杂度的客户群体,其“非自助服务”的定位反而成了专业性和深度的护城河。

然而,这种模式的挑战同样清晰。其一,作为“代理”,其商业价值与监管牌照深度绑定,政策风险是其生命线。其二,目标客户群狭窄,增长天花板可能过早显现。其三,极致的技术灵活性要求客户具备强大的自身工程能力,这可能会吓退一部分寻求“交钥匙”方案的潜在用户。其四,随着巴西开放金融生态成熟,大型机构自行申请牌照的成本收益比可能发生变化,从而冲击其核心价值。

总体而言,Cumbuca是一次从“基础设施提供者”到“基础设施赋能者”的范式转变。它不试图成为生态的中心,而是立志成为生态的“基石层”。它的成功与否,不仅取决于其技术实现,更取决于其能否在复杂的监管丛林和激烈的巨头竞争中,持续捍卫其作为“可信中立通道”的独特定位。这是一场高风险、高回报的豪赌,赌的是巴西金融数字化深水区的需求,将永远由“控制权”驱动。

查看原始信息
Cumbuca
In Brazil, a payments license gives you full autonomy but takes years, millions in $$$, and heavy compliance. Existing providers get you live fast but restricts independence and operational control. Cumbuca merges both: you get the same development flexibility with direct access to Open Finance and Pix, with full operational control, reduced risk and flexible price. Build on official APIs, own your infra and data, customize every layer, and if you get your license, just plug your own certificate
Hey Product Hunt 👋 We’re Daniel, Bruno, and Pedro — founders of Cumbuca, the first proxy for Brazil’s regulated ecosystem. After years of building fintechs in Brazil, we saw how painful it is to obtain a license or depend on PSPs and BaaS providers. Our previous B2C operation scaled to over a million accounts, and we suffered since a lot of our core product relied on partner infra, and it hurt us to not be able to solve the issues affecting our customers. We’ve been deeply involved with Open Finance since its earliest days — we were one of the first players in the ecosystem and became the **fourth ITP/PISP license ever issued in Brazil**, and after closing our B2C operation decided to pivot to B2B and build the financial infrastructure partner we always wished existed for ourselves. We’ve always been obsessed with the technology and the infrastructure behind Open Finance and Pix in Brazil, it's potential to be a transformational benefit to millions of Brazilians and wish to use our license and expertise to partner with amazing companies that will bring those benefits to life. Cumbuca is the result of that journey: a regulatory bridge that enables fintechs to operate with **direct access to Pix and Open Finance** while retaining complete control over their operations. You **build your own infrastructure, own your operational data, resolve issues without middlemen, and enjoy the same development freedom you would have if you held your own license** — all while we carry the regulatory exposure and maintain the highest compliance standards. **We redesigned the delivery layer from the ground up.** Instead of exposing Cumbuca APIs, which would impose our abstractions and limit customer flexibility, we built a **regulatory proxy**. Customers can develop their entire infrastructure end-to-end using the **same APIs available to banks and other regulated players**. They generate their requests, send them to our proxy, and we sign and forward them under our license. The proxy is intentionally a **minimal layer**, giving us only what we need: logging, compliance, visibility, and access control. **There is no Cumbuca API — only the proxy.** We’ve supported global and local companies launching and scaling in Brazil. While we’re excited to share Cumbuca with the PH community, we’re **not a self-serve platform** — we work selectively with high-volume fintechs and infrastructure players where deep customization and autonomy are essential, and which are aligned on a long term plan for the Brazilian payments market. We’d love to hear from you — who’s considering entering the Brazilian market? What’s holding you back? How has your experience been with Brazilian fintech infra providers? 💬 Ask us anything below! — The Cumbuca team 🇧🇷
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@ruhman Congratulations on the launch!

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@ruhman Amazing news - congratulations to the entire team on this milestone!

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@ruhman so proud of this launch! I'm really excited to see the impact of this major innovation on Brazil's ecosystem and how it will advance the Open Finance agenda. Great things are coming!

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I've been frustrated with the trade-off between quick integrations and true ownership, so this caught my attention immediately. The idea that I can build on official APIs and still maintain full control feels great for someone like me trying to scale responsibly.

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@sabine_engel that's the idea :)
Hit us up and when you come to Brazil and we'll help!

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As someone who's always wanted more control over my payments stack, this really speaks to me. The idea of getting direct access to Pix and Open Finance without drowning in years of licensing is huge. I like hoe flexible and builder-friendly your approach feels.

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@nancy_philip thanks!!!

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Hey Daniel, congrats on the pivot and that line about not being able to solve issues affecting your customers really stands out. When you were running the B2C operation with a million+ accounts, was there a specific incident where you knew exactly how to fix something for your users but couldn’t because you were stuck waiting on a partner?
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@vouchy I can name a few! The most repeating one was downtime by our provider in critical moments like for example at the beginning of the month when most users were cashing in their paychecks. We also had some terrible ones like payments that were supposed to be instant taking hours to clear, judicial blocking on user assets with no warning or way to check for it, hard times when users changed their legal names... lot's of edge cases that, at scale, become critical.

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Excellent launch, Cumbuca team. From a clarity-onboarding lens: when a fintech opens your platform for the first time, what’s the one belief you want them to walk away with in the first 10-15 seconds?
Is it “I can launch payments in Brazil without building full rails myself” or “I’m working with a licensed entity that knows Brazil’s regulation and compliance”?
Because in payments infra, the belief that someone has already taken care of the hard part often drives faster adoption.

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@joydeep_pandey great question! I guess it would be "I can develop a payments product in Brazil with the same flexibility I would have if I had a local license, but offloading the regulatory and compliance part, and the actual license, to a world class partner"

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Hey @ruhman great pivot! I can't imagine a better team to be building this in Brazil other than you guys, so congratulations a lot for the pivot and the launch!

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@nathandias thank you so much!

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I have been following Cumbuca since its founding. This pivot speeks volumes about their flexibility and competence. They are skillfully navigating a complex regulatory inviroment and were still one of the first 3 companies with an ITP license in Brazil.

Keep up the great work!

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@guilherme_cury thank you so much!!!

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Brazil is a huge market, which ingorned by a lot of products because of payment issues. Having a payment gateway is a huge step and makes it easier to get to this big market!

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This solves a massive gap in Brazil’s fintech space — autonomy without waiting years for a license.

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@kshitij_mishra4 that's the goal! Thanks for your support

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#14
Vibecode DB
The Frontend Database API Gateway
163
一句话介绍:Vibecode DB 是一款前端数据库API网关,允许开发者定义一次数据模式,即可通过统一的类型安全接口查询多种后端数据源(如SQLite、Supabase、PostgreSQL、REST API),解决了多数据库API带来的重复开发、厂商锁定和认知负担痛点。
API Open Source Developer Tools GitHub
前端开发工具 数据库抽象层 API网关 类型安全 多后端适配 开源 离线优先 数据迁移 统一查询接口
用户评论摘要:用户主要关注其实际性能、灵活性与兼容性。问题集中在:不同适配器切换时的性能损耗、如何防止查询语句在适配器间不兼容、以及确认其开源性质。普遍认为该产品对小型团队和独立开发者助力显著。
AI 锐评

Vibecode DB 的野心在于成为前端与数据层之间的“标准化协议”,其核心价值并非技术创新,而是架构整合。它瞄准了一个真实但混乱的痛点:前端开发者被迫与多样化的数据源接口耦合,导致应用与基础设施深度绑定。

产品逻辑清晰:通过抽象层定义统一接口,用适配器对接具体后端。这听起来像是数据库界的“ODBC/JDBC”前端复刻,但关键在于其深度融入现代前端开发生态,强调类型安全和开发体验。然而,其真正的挑战和风险也在于此抽象层。第一,性能损耗不可避免,尤其是在SQLite(本地)与Supabase/Postgres(网络)这类本质不同的数据源间切换,评论中的性能担忧非常合理。第二,抽象是有代价的,它必须权衡“通用性”与“特性支持”。高级或特定的数据库功能(如某些PostGIS地理查询或数据库独有的优化Hint)在统一接口中可能难以暴露或实现,强行通用可能导致只能支持所有后端的“最小公分母”功能,限制了深度能力。第三,它试图解决“厂商锁定”,但自身可能成为新的“锁定”——将应用逻辑绑定到Vibecode DB的接口规范上。

它的理想用户画像并非大型复杂应用,而是追求迭代速度的创业项目、需要快速原型验证的团队、以及独立开发者。对于他们,“写一次,随处跑”的灵活性价值,可能远超潜在的性能损耗和功能限制。成功与否,将取决于其适配器生态的丰富度、性能优化水平,以及能否在“提供足够强大的抽象”和“不牺牲过多底层能力”之间找到精妙的平衡。这是一个务实的工具,但其长期生存取决于社区是否买账,并愿意为其贡献和维护各类适配器。

查看原始信息
Vibecode DB
vibecode-db rethinks how frontend apps talk to the backend. Define your schema once and query any backend - SQLite, Supabase, PostgreSQL, REST APIs — using one unified, type-safe interface. No rewrites, no SDK switching, no lock-in. Swap databases anytime, build offline-first apps, and integrate any backend through CustomAdapter. Write once. Use anywhere.
Hey Product Hunt! We built vibecode-db because modern frontend developers deal with too many database APIs — SQLite in the browser, Supabase for side projects, Postgres in production, custom REST endpoints in enterprises. The result? Rewrites. Vendor lock-in. Cognitive overload. vibecode-db fixes this. You define your schema once. You write your queries once. And you can plug in any database using adapters — without changing your application code. It’s type-safe, fully open source, and built for real-world dev workflows: • prototype in SQLite, • deploy on Supabase, • integrate REST APIs, • or migrate databases without rewriting code. We’d love your feedback, ideas, and contributions. This is just the beginning — and your support means the world. Happy to answer any questions! — The Vibecode Team (GeekyAnts)
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@sanketsahu Any thoughts on performance trade‑offs when switching between SQLite prototyping and Supabase deployment? Congrats on launch!

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@sanketsahu Great work shipping this. If VibeCode DB really handles the backend + DB layer for you, that’s a big boost for small teams and solo makers. Looking forward to seeing how flexible the system is. 

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Congrats @sanketsahu and team! Are there guardrails for preventing developers from writing queries that one adapter supports but another doesn't?

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Hi is it open source?

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Yes@daniel112, it is an open source project!

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#15
Shipper Advisor
Build apps with AI - now with an AI cofounder by your side
152
一句话介绍:Shipper Advisor 是一款集成AI导师的应用程序构建平台,它能在用户通过简单提示生成完整应用后,自动分析应用状态并推荐后续优化步骤,解决了开发者从“应用创建”到“应用增长”阶段因缺乏方向而停滞的核心痛点。
Design Tools Developer Tools Artificial Intelligence
AI应用开发 低代码平台 AI导师 产品迭代指导 开发者工具 自动化构建 增长建议 SaaS 人工智能辅助
用户评论摘要:用户普遍赞赏其解决了应用创建后的“方向空白”问题,认为AI导师能推动项目持续进展。主要疑问集中在平台是否支持移动端开发、如何对多选项进行排序,以及存在对产品名称“Shipper”与物流功能产生的误解。
AI 锐评

Shipper Advisor 的“AI联合创始人”叙事,本质上是对当前AI代码生成工具同质化竞争的一次精准突围。其真正价值并非在于用提示词生成应用的“前端魔法”,而在于试图攻克AI开发工具的终极瓶颈:**持续性意图维护**。

大多数AI构建工具止步于“一次性指令执行”,生成即终点。而Shipper Advisor 的核心洞察在于,普通创作者最大的障碍并非启动,而是在看到初始成果后陷入“然后呢?”的迷茫。其内置的Advisor功能,实质是一个**基于应用上下文的持续性问题发现与路线规划引擎**。它试图将专业产品经理与开发者的经验编码成系统,在用户动力衰减的临界点进行干预,将开放式创造转化为有引导的迭代流程。

然而,其面临的风险与潜力同样明显。一方面,其推荐系统的“智能”深度存疑。从“专业开发者”到“职业营销人员”的角色切换,需要跨领域的抽象与判断能力,当前技术能否可靠实现而不流于表面建议,是最大考验。另一方面,它可能成功地将用户从“建造者”转化为“决策者”,只需对AI提议进行选择,大幅降低认知负荷,这或许能真正提升项目的完成率。

产品名“Shipper”引发的物流误解,暴露了其在市场沟通上的错位,但这只是表层问题。深层挑战在于,它能否构建一个真正理解业务逻辑、而非仅进行代码模式匹配的推荐模型。如果成功,它将重新定义低代码/无代码平台的竞争维度,从“谁生成得更快”转向“谁更能陪伴增长”;若失败,则只是一个增添了建议弹窗的普通构建器。这一步,迈向了AI辅助开发最具价值却也最艰难的领域。

查看原始信息
Shipper Advisor
The AI we always wanted: builds complete apps from 1 prompt, always knows how to improve them, and switches between 'expert developer' and 'professional marketer' depending on what you need.

Hey PH!! 👋
David here, co-founder at Shipper.now

One thing we hear all the time is that people love how fast Shipper builds apps from a simple prompt. But after that first wow moment, a lot of folks hit the same wall:

- what do I build next?
- what actually moves my product forward?

That tiny gap between “the app exists” and “the app grows” is where most projects die.

So we built something to close that gap.

Meet The Advisor 🧑‍🏫 inside Shipper.

What’s new? What's "The Advisor"? 👀

The Advisor is your AI mentor. It looks at the app you're building, understands what’s missing, and suggests the next best step automatically.

It's the last missing piece of Shipper, the ultimate AI app builder.


Up until now, you could tell Shipper what you want and it would create your app and database.

But if you weren’t sure about the next step, progress slowed down.

Not because the tech wasn’t working, but because the direction wasn’t clear.

The Advisor fixes this. It’s your built-in mentor that always nudges you toward the next meaningful thing.

New feature? Better flow? Missing component? Something that improves your actual product?
It guides you there.

With Advisor, you don’t just build apps.
You keep going. You grow them.

How it works:

1/ Build your app in Shipper: send a prompt, wait ~3 min, your app's live.
2/ The Advisor instantly suggests your next best step.
3/ Accept it, tweak it, or explore other paths.

Every suggestion pushes your project forward instead of leaving you staring at an empty page.

Our vision: We think this is a step toward a future where no idea dies because its creator didn’t know what to do next.

Why we built it:
We’ve seen too many good ideas die in that quiet moment where the builder doesn’t know what comes next.

We wanted the opposite: a world where momentum is built in. One where you can go from idea to a real product, and then keep pushing without losing clarity or motivation.

The Advisor feels like that future... And this is just the start - we’re already working on making it smarter, more personal, and able to understand the long-term shape of your project.

We’d love to hear your thoughts, what you’d want it to suggest, and how it could help you build your next big thing.

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@chhddavid  This is such a smart addition, David. The “what now?” gap after the first build is real, most tools stop at generation, but that’s exactly where people need the most guidance.

I love that The Advisor doesn’t just react to prompts but actually understands the app’s state and nudges you toward meaningful progress. That shift from creation to continued direction is what turns more builders into shippers.

Feels like a big step toward making momentum the default. Excited to see how it evolves from here!

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Co-founder here too 👋 Happy to answer any questions :)

It will be me, though, not the Advisor!!

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Here from X! @chhddavid
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@neelptl2602 Hehe thanks for the support!!

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I’m working on a small app myself, and this made me think I could build and iterate way faster with the Advisor. Really love this direction.

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@soom1 Thanks for the feedback! LMK if there's anything I can help with :)

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Only web, or can it create mobile apps too?

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Congrats team! How does Shipper handle situations where multiple ‘next steps’ are equally valid—does it rank them?

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Nice launch—shipping and checkout. Friction is one of those invisible conversion killers in e-commerce. From a clarity perspective, when a brand lands on Shipper Now for the first time, what’s the one belief you want them to hold within 10–15 seconds?
Is it:
• ‘My checkout converts because shipping is aligned.’
or
• ‘No surprise costs, no hidden shipping friction, checkout done’?
Because tools that handle logistics often struggle with messaging rather than functionality. Curious how you’re shaping that moment.

0
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@joydeep_pandey Hey, sorry but Shipper isn't about literal shipping or eCommerce :)

1
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#16
Buglet
Turn customer frustration into actionable feedback
151
一句话介绍:Buglet是一款轻量级、无需代码的网页插件,帮助开发者和产品团队在用户遇到问题时,实时捕获带注释的屏幕截图和技术细节的视觉化错误报告,从而在问题演变为客户投诉或支持工单前主动修复,提升用户体验和团队效率。
Productivity User Experience SaaS
错误报告工具 用户反馈收集 无代码集成 可视化Bug追踪 网站插件 产品团队协作 客户体验管理 前端调试 问题预防
用户评论摘要:用户普遍认可其解决“用户比开发者先发现Bug”这一痛点的价值,赞赏其轻量、易集成和提供有效上下文。主要问题与建议包括:询问是否自动捕获浏览器环境信息;探讨产品核心价值主张应聚焦于“防止用户流失”还是“替代会话回放”;以及建议支持用户上传多张截图以提供更详细反馈。
AI 锐评

Buglet切入了一个精准且经典的痛点:信息差导致的被动救火。其真正价值不在于“收集反馈”,而在于构建了一个“早期预警系统”,旨在将产品质量管理的范式从“被动响应”转向“主动发现”。

产品逻辑清晰:通过极简的无代码插件,在用户遭遇问题的瞬间,将最直观的证据(屏幕截图)和最关键的上下文(技术细节)结构化捕获,直接送达开发者。这看似简单,实则切中了传统反馈流程的三大低效根源:用户描述模糊、复现步骤缺失、环境信息错位。它本质上是在用户摩擦发生的源头部署了一个“数据采集点”,将感性的“沮丧”转化为可立即行动的“情报”。

然而,其面临的挑战同样清晰。首先,是价值定位的锋利度。正如评论中所探讨的,它需要明确自己是“防流失工具”还是“效率工具”。前者市场更大但承诺更重,后者更易验证但格局较小。其次,其能力边界存在天然局限。对于非视觉化Bug(如逻辑错误、性能问题)或需要复杂操作序列才能复现的问题,单张截图和基础环境数据可能远远不够。最后,也是最关键的,是团队工作流的整合深度。收到报告只是第一步,如何与Jira、Linear等项目管理工具深度联动,形成从发现、分配到验证的闭环,将决定它是团队工作流中的“瑞士军刀”还是“孤岛玩具”。

总体而言,Buglet是一个优雅的“单点解决方案”,在简化问题提交端做得足够出色。但它的长期成功,取决于能否从“精美的反馈表单”进化成为团队质量保障体系中一个不可或缺的、智能化的传感节点。它现在解决了“看到问题”的难题,下一步需要思考如何帮助团队更智能地“处理问题”。

查看原始信息
Buglet
Buglet is a lightweight, no-code widget for capturing visual bug reports directly from your users. Fast setup, clear feedback, happier customers.

Hey PH 👋 I'm Daniel, the builder of Buglet.

If you’ve ever had users discover bugs before you do, you know how painful (and embarrassing) it can be. Buglet helps you flip that dynamic - it’s a lightweight early-warning system for your website.
Here’s what you can do with Buglet:

⚡ Catch issues before they become support tickets
Our no-code widget captures visual bug reports instantly — with zero friction for your users.

📱 Integrate in minutes
Drop in a single snippet and start receiving reports via your dashboard, email, or Slack.

🔍 Get context you can actually use
Every report includes annotated screenshots and technical details, so you know exactly what went wrong and where.

⏱ Fix faster, build faster
Spend less time chasing vague bug messages and more time shipping.

Buglet is built for founders, devs, and product teams who want a simple, proactive way to catch issues early. We’ve been iterating with early testers, and we’re excited to keep improving.

Let’s make fixing bugs proactive, not reactive. Thanks for checking us out!

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@daniel_scaife  Super clean solution to a problem every builder feels, users finding bugs before you do is basically a rite of passage. Love how lightweight this is: one snippet, instant visual reports, and the right technical context without the usual back-and-forth.

The annotated screenshots alone probably save teams hours of guessing.

Curious: does Buglet capture browser/environment details automatically, or do users have to fill anything in?

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Great launch—turning user frustration into visual, actionable bug insights is a strong value.
From a messaging perspective, when a founder lands on Buglet for the first time, what’s the one belief you want them to hold within 10–15 seconds?

Is it:
• ‘I’ll finally catch UX issues before users churn.’
or
• ‘I can understand friction without watching endless session replays.’

Because UX tools often struggle not with features but with communicating the moment of transformation.
Curious how you're shaping that for Buglet.

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@joydeep_pandey Hey Joydeep. Thanks! Buglet is really about surfacing user frustration at the exact moment it happens. The hardest part of fixing bugs or UX issues is knowing they exist in the first place. Once you have that visibility, everything else gets easier - faster fixes, fewer blind spots, and ultimately, lower churn.

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Wonderful. It's a really lovely tool.
Can you also allow a user to upload multiple screenshots? Maybe someone wants to share a detailed (marked) image

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@chilarai Hi Chilarai, thanks for you kind words! I think that's a great idea for a future feature. Right now users seem to be pretty happy with just 1 screenshot, but I'm going to look into it. Thanks again :)

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Congrats on the launch! Catching bugs before users report them is such a big quality-of-life upgrade for small teams.

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@vik_sh thank you, I appreciate the kind words and support ❤️

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#17
FocusRoom
Turn your tasks into calming space missions
145
一句话介绍:一款将单一任务转化为沉浸式太空任务、通过无干扰环境与温和引导帮助用户(尤其是有ADHD倾向的人群)对抗分心、建立深度专注习惯的效率工具。
Productivity Task Management Time Tracking
专注力应用 ADHD友好 任务管理 沉浸式体验 极简设计 习惯养成 番茄工作法变体 心理健康 生产力工具 轻量化游戏化
用户评论摘要:用户普遍赞赏其ADHD友好与极简理念。主要反馈包括:强烈期待Android版本;建议强化“完成一件事”的核心信念传达;认可“移除而非增加”的冷静设计哲学;提出营销与自定义功能建议;开发者积极互动,明确了轻量游戏化、应用内防打扰、多主题等未来方向。
AI 锐评

FocusRoom的发布,与其说是一款新生产力工具的诞生,不如说是一次对“生产力焦虑”的精准反击。在效率工具日益复杂、甚至成为新压力源的当下,它反其道而行之,其核心价值并非功能堆砌,而是“做减法”的哲学与精准的情绪设计。

产品聪明地抓住了两个关键痛点:一是ADHD群体或易分心者面对庞杂待办列表时的“启动瘫痪”;二是传统番茄钟等工具带来的军事化压迫感。它用“单一任务太空任务化”的隐喻,将枯燥的专注过程重构为有边界、有叙事的沉浸体验,本质上是将行为心理学中的“目标分解”与“心流触发”进行了轻量级游戏化包装。

然而,其真正的犀利之处在于“冷静”的定位。开发者坦言,“冷静”源于剥离选择与摩擦,这直指许多效率工具的最大悖论:它们为管理认知负荷而生,其复杂操作却制造了新的认知负荷。FocusRoom试图成为“零认知摩擦”的专注界面,这比单纯添加白噪音或美景主题更具颠覆性。

从评论看,其挑战同样明显。首先,“冷静”与“有效”的平衡极为微妙,过度简化可能削弱工具的长效吸引力与用户粘性。其次,其核心场景聚焦于“单次专注冲刺”,如何与宏观任务管理、团队协作等现实工作流衔接,是它从“新颖玩具”成长为“可持续工具”必须回答的问题。最后,太空主题的沉浸感是一把双刃剑,在提供抽离感的同时,也可能因单调而使用户新鲜感消退,未来“轻量自定义”的需求已初露端倪。

总体而言,FocusRoom是一次值得关注的价值回归。它不试图解决所有效率问题,而是锐利地切入“专注启动与维持”这一微小却普世的瞬间,用情绪设计替代功能竞赛。它的成功与否,将验证在过度设计的时代,用户是否愿意为一份“数字宁静”买单。

查看原始信息
FocusRoom
FocusRoom is a calming, ADHD-friendly focus app that turns your work into guided space missions. Instead of overwhelming to-do lists, you choose one task and enter a distraction-free “focus universe.” Stay consistent, reduce burnout, track your progress, and build real focus habits with immersive missions, task management, streaks, and soothing space ambience.

🎉 Hey everyone! I finally launched the thing that was supposed to cure my inability to NOT check my phone every 4 minutes 👋😂

So… I built FocusRoom because my brain apparently runs on a mix of ADHD tendencies, random dopamine cravings, and the magical ability to open Instagram without even realizing I touched my phone.

I tried every “productivity” app out there —
some were so intense they made me feel like I was joining the military…
others had so many features I needed a tutorial just to start a timer.

I just wanted something calm.
Something simple.
Something that didn’t yell at me or congratulate me like I had just won the Olympics for studying 20 minutes.

So I built FocusRoom.

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@riadjoul how do you see FocusRoom evolving for people with ADHD tendencies?

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@masump Hi, Masum! 👋 A bunch of people using FocusRoom deal with ADHD-style distractibility, so that’s a huge part of where I’m taking the app. I'm eager to include things like: "Jump into focus" with a single tap missions for days when you're not feeling motivated Short, guided sessions when your brain is bouncing everywhere Supportive break pacing that keeps momentum without pressure Various "brain modes" include low-energy mode, deep sessions, and rapid bursts. Light gamification to show your progress (achievements, win milestones, streak highlights, etc.) A graphic "progress map" that highlights your areas of concentration and accomplishments Nothing overwhelming just small boosts that make focusing feel fun. I would really love to hear any ideas you may have from your own workflow.
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@riadjoul very helpful!

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Man, I just wish FocusRoom is made available for Android users too!
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@ashok_nayak I hear you! 🙏🔥 Android is definitely in the plans so many people have asked today that it’s officially been bumped way up the list. its true that we have been focusing on getting the best version of iOS, but Android is 100% coming. Thanks for the push it really helps me decide what to build next! 🚀
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Very nice launch. Turning a single task into a mission is a powerful metaphor for focus. From a clarity perspective, when a user lands on FocusRoom for the first time, what’s the single belief you want them to hold in 10–15 seconds?
Is it:
• ‘I will focus and finish one meaningful thing.’
or
• ‘Focus can be immersive and not exhausting’?
Because tools designed for habit change often fail when users don’t quickly believe they can finish something rather than start something. Curious how you’re shaping that story for FocusRoom.

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@joydeep_pandey Thanks, Joydeep really appreciate this level of thinking. The belief I want users to feel in those first 10–15 seconds is: “I can actually finish something here.” The whole design is about removing the overwhelm of long to-dos and turning a single task into a contained mission with a clear start and end. There's an immersive vibe to make focus feel lighter, but the core message is about completion, not just intention. Happy you brought this up.
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@joydeep_pandey I really appreciate the depth you're bringing to this discussion. For most people, that moment of “I can tackle this” usually hits right when the mission screen pops up. It’s that clear focus on one task, with a defined boundary, that helps ease the overwhelm and makes the task feel manageable. Sure, the immersive environment plays a role, but it’s not the main thing. The real game-changer is when we can cut out all the mental clutter for a moment and focus on just one clear goal. That’s the anchor we’re using for onboarding: the immediate clarity of “this is all I need to focus on right now.”
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Cool idea! When I need to concentrate, I just turn off my phone, messengers, start working on only one task, and put on headphones so that no one can distract me even offline. But it’s very hard!

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@mykyta_semenov_ 

Totally get that, staying focused offline is way harder than it sounds 😅

I’m actually adding an in-app feature to block distracting apps soon, so you won’t have to turn your whole phone off.

Thanks for checking it out! 🚀

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Congrats on the launch! 👏 How did you test what “calm” should feel like inside the app?

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@lliloulane Thanks! 👏

Honestly, a lot of it came from removing things rather than adding anything.

I kept stripping away buttons, text and micro-decisions until the screen felt quiet. Then I tested it with a few friends who get overwhelmed easily, whenever someone said “wait, what do I do here?” I simplified again.

So “calm” ended up being the absence of friction more than a specific design style.

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Hey Riad @riadjoul ,


Congrats on the launch of FocusRoom! The space mission theme is such a clever way to make focus feel immersive and fun.


Curious to know, what kind of marketing strategies are you focusing on to get the word out? Are you leaning more towards community-driven efforts or looking into other channels? Would love to hear how you're planning to promote it!"

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@mfarhan1107 Thanks! Appreciate it 🙏🚀

Right now everything is purely organic, just sharing the app naturally in a few places and letting early users spread the word. No formal marketing plans yet.

If you have any ideas or things you’ve seen work well, I’m definitely open to hearing them!

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Congrats on the launch! Love how you leaned into simplicity instead of adding more noise to the productivity space. Are you thinking about adding any gentle customization options over time?

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@vik_sh Thanks! Really appreciate that, keeping things simple is the whole mission.

And yes, light customization is definitely coming. Nothing that adds clutter, but things like theme variations, small ambient tweaks and mission-style options without breaking the calm vibe.

If you have any specific ideas in mind, I’m all ears! 🚀

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Congrats on the launch! As someone who gets overwhelmed easily, I really appreciate the ADHD-focused approach - it's rare to see.

One small thought: your current headline is good, but 'Your Brain Isn't Broken. Your Tools Are.' might resonate even more. So many productivity apps are ironically complicated and overwhelming. Yours clearly isn't.

Excited to see where this goes! 🎉"

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@angela_nartey Thanks for this helpful message. That headline suggestion is actually really good and definitely closer to what FocusRoom is trying to communicate. You’re right about a lot of productivity tools overcomplicating things.

Glad the ADHD-friendly angle stands out. Appreciate you taking the time to share this! 🚀

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I actually really like the way this is designed. Going to give it a try and report back! How did you end up with Space vs say like a Waterfall or jungle? (I'm glad you ended up in space btw).

Could be fun to be attacked by a Tie Fighter or something when "break time" comes haha. Congrats on the launch!

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@gabe thank you. I am really happy the design clicks with you. 🚀 I picked the space theme because I wanted those focus sessions to come off like a real mission. It stays calm and minimal. But it still builds in that sense of moving ahead step by step. A jungle or waterfall setup just felt too much like pure downtime. Space pulls you into that focused zone without piling on any real pressure. I really like your thought about adding more interactive bits for break times. That is something I definitely want to dig into more. Thanks for giving it a go. I would love to get your take on how it actually feels. 👋🚀
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#18
Transformers v5
The backbone of modern AI, re-engineered
142
一句话介绍:Transformers v5通过模块化设计、原生量化支持和OpenAI兼容服务API,为AI开发者提供了标准化、高性能的模型开发与部署框架,解决了AI技术栈碎片化、生产部署复杂的核心痛点。
Open Source Artificial Intelligence Development
AI开发框架 模型部署 开源库 PyTorch优化 量化支持 互操作性 生产就绪 机器学习运维 Transformer模型 生态系统集成
用户评论摘要:用户高度评价v5的互操作性和生产就绪特性,认为其成为AI生态的“通用层”。量化支持作为一等公民和OpenAI兼容服务器备受称赞。有评论询问Hugging Face如何让新用户在10-15秒内建立“该工具能真正扩展工作流”的核心认知。
AI 锐评

Transformers v5的发布,与其说是一次技术升级,不如说是Hugging Face在AI基础设施霸权争夺中的一次战略卡位。在ChatGPT引爆行业五年后,v5从“模型动物园”的野蛮生长转向“标准化基础设施”的秩序构建,其真正价值在于试图成为AI堆栈中不可绕过的协议层。

此次更新直指当前开源AI生态的核心矛盾:模型格式割裂、推理引擎林立、部署流程冗杂。通过将GGUF文件支持、vLLM等主流引擎互操作提升为核心特性,v5本质上是在定义一套“连接标准”。而`transformers serve`提供的OpenAI兼容API,更是赤裸裸地表明其野心——不仅要成为训练阶段的默认选择,更要通过统一服务接口,将影响力延伸到部署和生产监控环节。

值得玩味的是其“PyTorch优先”策略。这看似是技术选型,实则是生态站队。在PyTorch已占据学术界和工业界主流心智的当下,此举能最大化性能优化收益和开发者体验,但也在微妙地重塑AI框架的竞争格局。JAX/Flax的兼容性保留,更像是政治正确的点缀。

评论中关于“用户最初15秒认知”的提问极为犀利。这恰恰暴露了Hugging Face从极客工具向企业平台转型的深层焦虑:当技术复杂性被封装后,其核心价值主张是否清晰?v5的回答似乎是“成为AI时代的Linux内核”——但问题是,普通开发者需要的是Ubuntu,而非内核本身。

真正的考验在于,这种“万物互联”的中间层定位,是否会陷入平台典型的悖论:既要保持开源中立性,又要通过定义标准获得事实控制权。在巨头环伺、创业公司各立山头的AI基础设施战场,v5的“互操作性叙事”能否转化为持久的生态粘性,将取决于其能否在简化体验与保持灵活性之间找到精妙平衡,而非仅仅成为又一个被集成的库。

查看原始信息
Transformers v5
The biggest update in 5 years. v5 brings a modular design, first-class quantization, and a new OpenAI-compatible serving API. Optimized for PyTorch and fully interoperable with the modern AI stack (vLLM, llama.cpp, GGUF).

Hi everyone!

It’s hard to believe, but Transformers v4 was released back in November 2020. Think about that: v4 predates ChatGPT, Stable Diffusion, and the entire generative AI boom. Today, with 3M+ daily installs and 1.2B+ total downloads, it has become the undeniable "operating system" of modern AI.

v5 is a maturity milestone. While v4 was about exploding growth (from 40 to 400+ architectures), v5 is about standardization and interoperability.

Big shifts in this release:

  • Interoperability is Key: v5 is built to play nice with the entire ecosystem—seamlessly connecting with vLLM, SGLang, and llama.cpp. You can even load GGUF files directly now.

  • Production Ready: They introduced transformers serve, an OpenAI-compatible server for easy deployment and testing.

  • Quantization First: No longer an afterthought. Low-precision formats (4-bit/8-bit) are now first-class citizens with cleaner APIs.

  • PyTorch Focus: They are going all in on PyTorch as the primary backend to ensure peak performance, while maintaining compatibility with JAX/Flax.

For the community, Transformers remains the "Source of Truth" for model definitions. If a paper comes out, the code usually lands here first.

Huge congrats to the @Hugging Face team and the all the contributors who made this happen. The past 5 years have been unforgettable, and the next 5 look even more exciting!🔥

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@zaczuo  This is such a massive milestone, congrats to the entire team and community!
Crazy to think how much of the AI world has changed since v4 dropped, and yet Transformers has stayed the backbone of the entire ecosystem.

The focus on interoperability is huge. Being able to plug directly into vLLM, SGLang, llamacpp, and even load GGUF out of the box makes v5 feel like a true universal layer for modern model development.

Also love seeing quantisation treated as a first-class feature. So many real-world deployments depend on 4-bit/8-bit workflows, so giving that clean APIs and official support is a big win for developers.

And transformers serve is just… wow. An OpenAI-compatible server is going to make local + production testing so much easier.

Amazing to see the project evolve from rapid expansion to this level of polish and maturity. Excited to see what the next phase unlocks!

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Love the vision behind Hugging Face—making open-source AI tools accessible and usable is huge.

From a clarity & conversion lens: when a developer or product team lands on the Hugging Face hub for the first time, what one belief are you aiming for them to take away in their first 10-15 seconds?
Is it:
• “I can build and deploy cutting-edge models without reinventing the stack.”
Or:
• “This community gives me control, not just usage.”
Because for infrastructure/SaaS tools, the biggest adoption hurdle isn’t always features—it’s the user’s belief that the tool will actually scale their product and workflow.
Curious how you’re designing that initial moment of clarity for first-time users.

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#19
Gleam
AI-powered design reviews from 10 expert panelists
132
一句话介绍:Gleam 是一款AI驱动的设计评审工具,通过模拟10位不同领域的专家视角,为设计师(尤其是独立开发者和小团队)提供快速、多维度的结构化反馈,解决了在缺乏即时、全面专业评审场景下,设计迭代效率低下和容易陷入主观盲区的痛点。
Design Tools User Experience Developer Tools
AI设计评审 用户体验分析 设计助手 生产力工具 独立开发者 设计反馈 多维度评估 设计迭代
用户评论摘要:用户普遍认为该产品对独立开发者和缺乏即时反馈的团队是“巨大的解锁”,能有效打破“隧道视野”,提供客观、快速的迭代方向。创始人强调其定位是辅助思考的“工具”而非替代专业评审。有一条评论误将其他产品的描述混入,询问关于“社交技能”的引导信念,属于无效信息。
AI 锐评

Gleam 精准切入了一个高频率的微痛点:设计交付前的“自我审视困境”。它的真正价值不在于其AI评审的“专业性”能否媲美人类专家——这目前仍是噱头——而在于它创造了一种标准化的、低成本的“设计压力测试”流程。

产品聪明地避开了与Figma等主流设计工具在创作功能上的竞争,转而聚焦于“评审”这一后置环节。通过构建10个虚拟专家角色,它实质上是将一套结构化的设计评估框架(涵盖UX、视觉、可访问性等)进行了游戏化和即时化包装。这解决了两个关键问题:一是为资源有限的个人或小团队提供了多维度的自查清单,打破了个人固有的思维定式;二是将非同步的、耗时的人际反馈流程,压缩为一次即时的、可重复的模拟演练,加速了决策循环。

然而,其深层风险与挑战同样明显。首先,反馈的“广度”可能牺牲“深度”。十个专家的简短评语可能流于表面,无法触及复杂的业务逻辑或用户情境。其次,过度依赖可能导致设计思维的僵化,设计师可能倾向于优化AI可识别的“指标”(如对比度、间距),而牺牲了更大胆的创新或情感化表达。最后,其商业模式的天花板清晰:作为轻量级工具,极易被大型设计平台通过内置类似功能或插件所覆盖。

总而言之,Gleam 是一款优秀的“思维拓展器”和“效率加速器”,在设计的“质量基线”保障和迭代推动上具有实用价值。但它绝非“专家替代品”,其长期成功取决于能否将反馈深度与工作流整合做到极致,从而从“有趣的玩具”进化为“不可或缺的流程组件”。

查看原始信息
Gleam
Gleam gives your design a structured review from 10 AI panelists, each with their own specialty—UX, visual design, accessibility, product strategy, and more. Upload a screenshot and get scores, directional insights, and a short list of high-impact fixes to guide your next iteration.
Hey everyone — Dane here 👋 I built Gleam because I’ve always loved iterating on designs, but getting meaningful critique on demand is hard. Sometimes you need quick input across a wide range of topics to break out of your current focus and see your design more broadly. Gleam gives you that: 10 AI reviewers with different specialties, scoring your design and pointing you toward the highest-leverage improvements. Not a replacement for real design expertise — just a tool to help you think about trade-offs and ship faster. Try it out and let me know what you think! 🙏 — Dane
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@duilen You did a fantastic job.

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@duilen Looks awesome!

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Oh wow this looks soo good! My design team is not gonna have a fun day I am sure of it haha.

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@ansh_deb Thanks!

Let me know how it goes. I've given the app a test run on a handful of designs but you always get unexpected surprises when you throw a new app to the wolves the first time. 😅

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This is a massive unlock for solo devs. I usually stare at my own designs until I lose all objectivity.

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@kavan_thosani I hope so! I've worked on so many designs over the years as a solo dev. It's easy to get tunnel vision when you get locked into working on a single element. This helps you take a step back and look at the bigger picture. And you can do it in short feedback cycles that don't take days to weeks. I'm excited to build a product that supports solo devs! 🖖
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Really amazing. I loved it!

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I love this! No more staring at your design, squinting while tilting your head left and right like it could magically fix it. Just drop a screenshot in Gleam and iterate. I'm a fan!

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@its_felice Thanks!

I'm not opposed to doing a little squinting while internally debating about what's next and why. Investing mental energy in your design is where the real magic happens. I hope Gleam just helps make that process a little easier.

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Very cool and valuable. Excited to use it!

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The panel’s feedback is helpful and definitely gave me several ideas for what to improve next. Amazing job!

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Love how Gleam frames social skills as a learnable muscle. From an onboarding & clarity lens: when someone opens Gleam for the first time, what’s the one belief you want them to walk away with in the first 10 seconds?
Is it “I can show up socially without freezing” or “I’m going to learn this just like I learned piano”?
Because in habit-tools for human behaviour, that first belief can make all the difference.

1
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#20
Clipse
Synchronized calendar availability across timezones
130
一句话介绍:Clipse通过提供可同步多方日历真实空闲时间的智能调度链接,解决了跨时区、跨公司团队在协调多人会议时反复沟通、耗时费力的核心痛点。
Meetings Calendar
智能日程调度 跨日历同步 多人会议协调 时区管理 效率工具 SaaS 免费增值 隐私保护 团队协作 外部会议
用户评论摘要:用户普遍赞赏其解决真实痛点、UI简洁。创始人阐述了产品愿景与“顿悟时刻”。主要问题/建议集中在:支持日历数量上限、与Mac日历的深度集成与同步可靠性、以及产品核心信息传递的清晰度(如何让用户快速感知价值)。
AI 锐评

Clipse的野心并非再造一个Calendly,而是试图构建一个基于“日程关系”的协作网络。其核心价值不在于展示“我的空闲时间”,而在于通过用户主动构建的“合作伙伴”网络,实时计算并呈现多方“共同空闲时间”。这击中了跨组织协作中最磨人的环节——在邮件或聊天中来回比对、更新可用时间。

然而,其模式面临双重挑战。一是冷启动与网络效应悖论:产品最大价值(多方实时同步)的实现,依赖于对话双方乃至多方都是Clipse用户或愿意即时授权。这要求用户有足够动力去“邀请合作伙伴”,教育成本不低。二是对现有工作流的“侵入性”:它要求用户将外部联系人关系“迁移”至Clipse体系内,这改变了人们习惯的、临时的、工具化的链接分享模式,转而构建一种半固定的协作关系。用户是否愿意为“更优的会议时间”而管理另一层社交图谱,是成败关键。

从评论看,用户更关心工具层面的可靠性与边界(如日历数量、原生应用同步),而非其网络愿景。这提示Clipse需在“卓越的单次链接体验”(即使对方非用户)与“长期的网络价值”之间找到更平滑的过渡路径。其真正的颠覆性在于,如果成功,它将把会议调度从“事务处理”变为“关系连接”,但这条路注定需要耐心与精准的用户教育。

查看原始信息
Clipse
Clipse gives you a scheduling link that does something unique: visitors can sync their calendar with yours to see true mutual availability. But it doesn't stop there. If the other meeting guests are also Clipse users, your scheduling page will synchronize EVERYONE'S availability to display days and times that work for the whole group. Our free Individual tier gives you the full experience so you can try it risk free.

Hey Product Hunters, I'm Eric, founder of Clipse! 👋

We’re back with the third release of Clipse, and this one focuses on something we’ve been building toward for months: the first scheduling link that shows true mutual availability across calendars.

What’s new:
🔹 Synchronized Scheduling Link: Visitors who open your link can sync their calendar with yours instantly.
🔹 Mutual Availability Across Clipse Partners: If the visitor adds their Clipse partners to the invite your personal scheduling page turns into a multi-person availability engine.
🔹 Group Events From Your Own Link: When you access your own link, you can add any of your partners and immediately generate the best times for group meetings, hangouts, planning, or team syncs.
🔹 Privacy-first by design: No event content ever shared or scraped, only availability blocks.

Our "ah-ha moment"
At Clipse we want you to take scheduling meetings personally. Build your own network of scheduling partners by inviting them to connect with you - think of it like a friend request. Your partners should be anyone with whom you scheduling meetings periodically: clients, vendors, sales prospect, even friends.

Here's the scenario: someone from another company needs to meet with you and sends you their Clipse scheduling link. You open it up, sign in, add 2 people from your team, Clipse tells you when all 4 of you are free, and you book the meeting in seconds. That's the ah-ha: that first moment you add a disparate group of guests and instantly see when everyone can meet.

We are a bootstrapped company of just a few people who believe that no one is an island in the professional world. We all rely on external relationships for success. So why not pull those relationships closer to you by adding them as a partner so you both can schedule meetings as if you were internal colleagues? Instant access to optimal meeting times is our product, and connecting every professional calendar is our goal.

Thank you for supporting us! We value this community and appreciate all feedback and suggestions.


Eric & Clipse Team

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@eric_hofer Finally somebody created this!! Thank you and congrats on your launch!!

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The UI is so clean; it makes using it a real pleasure.

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Big congrats, team! 🎉This solves such a real scheduling pain.
Question: how many calendars can Clipse handle before it gets messy?

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@lliloulane oh such a good question! So the results will always show just the days and times where everyone is free, so it’s never “messy” per se, but you can of course run into scenarios where there simply is no mutual availability. I’ve found that once you have over 6 attendees schedules start to get crowded.

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Hey Eric, the multi-person scheduling across different companies thing is such a headache, I feel this. Was there a specific meeting that broke you?
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@vouchy haha there was a meeting SERIES that broke me. My time at GS and meeting with a major vendor. Constant chasing for availability.

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Congratulations on the launch! Is there integration with the Mac calendar? If I create or delete an event in the app, will it also disappear in the Mac apps? There’s an old bug on Mac that annoys me: I delete a meeting from the calendar (all events), but it reappears after some time. Probably a device sync issue. Can your app solve this? If I delete it in your app, will the event definitely be deleted, or will the bug of the native Mac app transfer to you along with all the meetings there?)

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Nice launch—enabling full cross-company availability inside Outlook is a strong niche. From a clarity/messaging angle: when someone opens Clipse for the first time, what’s the one belief you want them to walk away with in the first 10–15 seconds?
Is it:
• ‘I will never chase meeting times again.’
or
• ‘This will make external meetings as easy as internal ones’?
Because in scheduling tools the gap between “we built availability sync” and “users feel they can stop emailing like crazy” often kills adoption. Curious how you’re framing that moment for Clipse.

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@joydeep_pandey the one belief I want people to get in the first few seconds is “I’ll never have to wait for a meeting to get scheduled.” No emailing for times, no polls, no waiting for someone to click your link. Just instant access to optimal times and the ability to schedule without any preamble.

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