tdubey · HN

DWS A LLM Generated, "Drudge Report" style news site

@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 ⬇️

SteveDeFacto · HN

Hi HN, I built Enclave, self-serve confidential compute on GPUs. Technical documentation is on the site, but I'd rather show than tell. Here are a couple apps hosted live on the platform: LLM Chat bot: https://cc1f4f3f.app.enclave.host AI Image Generation: https://da09d0f2.app.enclave.host If you have any questions, I would be more than happy to discuss.

@DeveloperL92487 · X

I built my first app in 60min And now I got $500 MRR in one month Check here if you are interested It’s a tool to reduce agent token consumption, speed up agent response, and clean up memory cache

@naumanthanvi · X

ephraimduncan · HN

Observability for Coding Agents and LLM Applications

ada1981 · HN

I built a web tool to see and edit what an AI thinks before it answers

@MBrew26730 · X

Dataset cleaning + fine tuning + continual learning at

u/Jealous_Buy_8829 · Reddit

Just updated my context builder https://reddit.com/link/1utq6y0/video/jy8bpbotxmch1/player You can now upload your whole project folder and get one clean, optimized markdown file that you can paste straight into Claude or Codex. All file uploads are 100% client-side. Let me know if you find this useful or not, would love some feedback! https://markdone.dev/ai-context-builder/ submitted by /u/Jealous_Buy_8829 to r/SideProject [link] [comments]

dev_dan_2 · HN

WatchMachineGo – A visualizer to show hardware performing LLM inference

cocodot LLM 降智检测 — 免费的 LLM API「降智/偷换模型」在线检测：填入任意 OpenAI 兼容端点的 base_url 和临时 API Key，跑 6 项探针（模型声明、动态题、能力完整性等）生成分项报告；Key 仅用于当次检测、不落库不留存，检测方法[开源](https://github.com/cocodot2026/cocodot-llmprobe)

@polycontext · X

Context-aware localization for apps, games, and software.