@Jack_Timonen · X

@marcusyul · X

THEY JUST GAVE AWAY 100 MILLION FREE TOKENS SO YOU CAN STOP BURNING THROUGH YOUR CLAUDE CODE BUDGET. if you code with AI you already know: the session fills up, starts failing, and on top of that you're overpaying there's a tool that fixes this: it shrinks the context before the model even sees it same model, same response, a fraction of the cost in a real session: from $154 to $43. a 72% drop and right now: → extend your Fable sessions in Claude Code → 100M free tokens to try it out you don't switch models you don't touch your code you just stop paying to repeat yourself link below ⬇️

@Robhay3s · X

u/manndortmund · Reddit

Create, browse and chat with your Open Knowledge Format. The Open Knowledge Format is Google's open standard for knowledge that both people and AI agents can read. This tool lets you build your own OKF , browse it, and question it — without writing markdown and YAML by hand. Upload once, then structure, visualize and ask across your whole bundle. Concept Library Upload a .zip, .md or .json bundle in OKF v0.2 format. The parser reads out the concepts and their frontmatter, so titles, desc

@Hitendraa_ · X

allybahaei · HN

Bring all your sources into a visual space, ask questions with full context, branch LLM conversations, and go deep on YouTube videos / research papers to build your knowledge canvas.

@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

@Aliasistx · X

researching and developing RAG systems for agentic Graph coming on the horizon.

colibris · HN

AI Assistant that verifies its own sources

apoorvumang · HN

TokenPath – token-level citations for LLM output, read from attention

@MBrew26730 · X

Dataset cleaning + fine tuning + continual learning at

alastairr · HN

Job board and MCP server for AI developers