AI Agents1 month ago
BixRouter
Chat with AI models and visualize conversations as branching diagrams using OpenRouter.
two-sandwich · HN
BixRouter – a non-linear AI chat interface for OpenRouter
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29 projects
Chat with AI models and visualize conversations as branching diagrams using OpenRouter.
two-sandwich · HN
BixRouter – a non-linear AI chat interface for OpenRouter
Map software architecture, dependencies, and ownership to help teams and AI agents understand systems.
u/keiloktql · Reddit
i built a living architecture map after redrawing the same stack for every project heya, i'm a design engineer at 8starlabs. i just launched canopy. i kept redrawing architecture diagrams for hackathons, work, group projects, and side projects. they were useful at first, but quickly became outdated. canopy turns your stack into a living map. you can import a github repo, see services and dependencies, track costs and ownership, publish maps, and export context for ai coding tools. try i
Banana Board turns a plain-English idea into validated Arduino/ESP32 firmware, a wiring diagram, a pin-by-pin map, and a parts list, with every connection checked against your boar
@Rudra_127 · X
Analyze Python code across 14 quality dimensions to detect violations and measure capabilities.
@KSFirasa · X
Hello! I built a tool that profiles code (python only atm) across 14 dimensions detecting violations and capabilities outputting a full report. A bit more nuanced than "AI-powered insights". Free while in beta. Thank you!
React library with 60+ scroll-driven section transitions for modern websites.
@itz_sayan_03 · X
Ever wondered how cinematic scroll-driven websites are built? 👀 Meet SectionFlow—an open-source React library with 60+ ready-to-use section transitions, a one-command CLI, reusable sections, and optimized performance. 🚀
A free diagramming tool with workspaces, folders, and version history. Sketch an idea now, come back to it next month.
@_aniruddha_d · X
Interactive WebGL visualization of scientific citation networks and papers.
@lushptr · X
I feel really guilty for vibe coding this but it looks cool even tho it is really inefficient and broken you can use it too now I'll desloppify it after exams I swear
AI-powered retrospectives for IT teams that connect to your tools and identify improvement patterns.
@akadhanu · X
an ai sprint retrospectives for it teams (
Open-source engineering onboarding built around a living graph of how your org actually works - services, contributors, and decisions inferred from commit history, surfaced as an o
@Syncyeep · X
Inspect RAG chunks and visualize AI agent workflows, memory architecture, and execution traces.
@Higgs0110 · X
AI agent that generates comparable product concepts from ideas, sketches, images, and constraints.
@hedge8og · X
4月23日，我开始用 Codex 搭自己的产品。到现在，满3个月了。 截至7月19日，Codex 页面显示247.1亿个 Token，连续使用54天。标题里的“250亿”是取整，准确数字以截图为准。 这三个月，我把 做上线了，产品介绍视频改了很多版，也借助 Codex 做了不少以前一个人很难完成的工作。 具体一点：我用它整理过 BP、导出过 PDF、做过 PPT 工作稿，也把调研、文档、图片、浏览器操作、网站、视频和邮件这些常见 Skills 跑过一圈。有些后来真的进入了工作，有些试完就放下了。 现在回头看，最大的收获不是“我做过这么多种东西”，而是我越来越能分清：哪些能力能进入真实工作，哪些只是演示起来很厉害。 这些数字确实挺夸张。说实话，我自己看到也会觉得：是不是做了很多事？ 但如果现在让我总结，我不会把它们当成绩。它们只能证明我很投入，蹬得快冒烟了，不能证明产品已经有价值，更不能证明商业已经成立。 我大学辍学，最高学历是高中，之前一直在制造业工作，也不会写代码。写这些不是为了卖惨，更不是想证明学历没用，只是先把我的真实起点说清楚。 2月 OpenClaw 火起来以后，我开始认真试各种 AI 工具，想先解决工作里那些重复、又不得不做的事情。 这期间还有一次，客户马上要我提案，但公司的设计师手上也有急活。我用 ChatGPT 做了产品效果图，最后拿到了订单。 老板后来跟我说：“早知道你可以帮我做这些，那些外包设计早就可以不用买了。” 到了4月，我又用扣子搭了发货模板和记账系统。原来需要手工对比核验的条形码、外箱码，我也开始想办法交给工具处理。 这张订单图只能证明订单记录是真实存在的，不能单靠它证明订单一定是 AI 带来的，更不是 Ohwait 的客户案例。AI 参与了产品效果图制作，之后拿到订单，是我对那次真实工作过程的记录。 那一刻让我兴奋的，其实不是发现了什么创业机会，而是我第一次觉得，模型真的可以成为人的“数字外骨骼”。 回头看这三个月，我现在有5个比较确定的结论。 ### 1. AI最好先从一个真问题开始 发货、记账、核验、临时要效果图，这些都不是什么宏大命题，但它们有一个共同点：问题原本就存在，而且有人正在为它花时间、花钱或者承担压力。 我现在判断一个 AI 工具有没有价值，还是看两件事：它有没有少让我重复
Visual node-based programming environment for creating GPIO logic and MQTT workflows on ESP32 devices.
@NodeESP · X
- Project for sale