@arnesh_11 · X

Yahivin · HN

Nutshot Simulator – 31 days, 59K prompts, 142M tokens, ~$23K of Claude

chrismessina · Product Hunt

AnySearch Real-time structured search trusted by agents and developers

u/jm_ka · Reddit

SmartDocs - open-source docs framework with AI chat; just add your API key. SmartDocs is an open-source Markdown documentation with built-in AI chat. The pitch: write docs in Markdown, add your API key to .env, and every page gets a grounded AI assistant. Self-hosted, your data, your control. Tech: Next.js + Markdoc + Tailwind. No vector DB — uses graph-backed retrieval (keyword scoring + link traversal) inspired by Karpathy's LLM Wiki pattern. Live demo (no key needed): https://www.ge

@chaibytesai · X

mekery · V2EX

我开源了一个 AI 电子书阅读器，欢迎大家体验 Hi V 友们, AI 时代，搭建自己的知识库非常有必要，我想把笔记、阅读和 AI 回答集成在一起，不断完善知识的积累和系统化，因此做了这款阅读器。 ## 整体预览  ## 阅读 ### 书架  ### 阅读视图   ### 目录、书签、高亮、注释和 AI  ###

@HappyMonkeyAI · X

Been building so many cool things recently, like Riffly 🎸Hear something cool? Play it in seconds. 📷Drop in a clip, hum a melody, or use your mic. 📷

u/Redshankscommune1 · Reddit

Building an AI search engine instead of another chatbot I've been building an AI-powered search engine over the last few months as a side project. The idea came from noticing that I'd often Google something, open several tabs, then copy everything into an AI tool to get a useful answer. It felt like there was an unnecessary step in the process. The goal isn't to replace the web, but to make research faster by generating structured answers with citations and giving users the option to see

@buildingadlicio · X

@emilsnotes · X

Our customers using Claude Code move faster than we can ship features. So we stopped fighting it and leaned in. Here's why it's paying off: 👇️ Some context: powers AI agents that answer millions of technical questions per month. Those conversations are a goldmine - they tell you exactly what users struggle with and where your docs fall short. We've built a lot of analytics on top of this (Coverage Gaps, Top Questions, and more), and teams love them. But here's the honest truth: no dashboard covers every edge case for every company. Meanwhile, our sharpest customers were already exporting kapa data and throwing their coding agents at it in ways we never designed for. So instead of chasing every workflow with a UI, we took the best practices we've seen actually work and packaged them as Kapa Skills - installable in Claude Code, Cursor, or Codex: 1/ Analyze Coverage Gaps: your agent works through the topics kapa couldn't answer and writes the missing content straig

@Rehman68128710 · X

I Made an AI support bot — just feed it your website or a doc and it's ready to answer customer questions.

@creativeaigrl · X