
ClawMaven — The Governance Intelligence Layer for AI Agents
Design, validate, and compare AI agent deployments across multiple runtimes with governance built in.
@paulrodturner · X
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27 projects

Design, validate, and compare AI agent deployments across multiple runtimes with governance built in.
@paulrodturner · X

Compress prompts and reduce LLM token costs by detecting duplicate tool calls.
@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

API service providing stable relay access to Claude Fable-5 models.
@iveyzen · X
鹿友AI上线了 最贵的AI中转站,只因为想创造稳定fable-5访问专线

Analyze GitHub repositories to discover and score paid work and contribution opportunities.
@bashops_dev · X
Building BashOps Radar—repository intelligence for developers. Helping developers identify contribution opportunities that can lead to contracts, paid sprints, and long-term work.

Open-source remote control for Claude Code and Codex on iOS, Android, and web.
@Ex3NDR · X
Few days ago Happy had a birthday. Tried to refresh one of the most neglected part of it: our Happy Website: also i built a new harness called “rig”. i started to use at work recently instead of codex/claude code and i liked how it does work. i want to share this with everyone. it is a codex and cause code reimplemented using Pi, but keeping native prompts and expanded a little for uniformity (like added workflows to codex yay!). when something new released that is worthy of porting - i ask Sol to mim for prompts or read sources directly and i can have a feature within an hour. why this is needed? i was constantly blocked by the needing of integrating a lot of models together, which each has their own harness or many doesn’t have any, but i didn’t want to go too far from native and don’t like the idea of extensions - i want experience to be the same everywhere. i think configuration > extensions. more soon

Describe your code idea in English and QuikRun generates, tests, and runs it live.
nparashar150 · HN
Over the weekends, I've been revamping an old side project of mine: https://quik.run/?ref=yc It started as a simple platform for writing and sharing code snippets. Over time, it evolved into a way to run snippets instantly with support for imports and packages, without worrying about setup, deployment, or infrastructure. Think of it as a lightweight AWS Lambda for quick experiments. One thing I've realized is that even though AI has made a lot of older developer tools and ideas feel less relevan

@UK_Daniel_Card I made something similar https://t.co/HCVGlFb8hF. Its completely vibe coded but it is supposed to be a vibe project. Been making it for about 6 months now. Feel fre
@slacksarenice · X
I made something similar Its completely vibe coded but it is supposed to be a vibe project. Been making it for about 6 months now. Feel free to take inspiration from it 😅

Automate load testing for modern teams without complex setup or manual scripting.
@GorodkovVi85373 · X
- load testing made easy even without enginnering team. Faster, cheaper, distributional

Auto-generate step-by-step guides and SOPs from screen recordings.
@Amit63390 · X

Local-first cognitive runtime with live AST graphs, runs in your browser with no data sharing.
@fortsignal1 · X

AI developer that writes code for your GitHub repository from its own cloud computer.
vpetroff · HN
CobaltCode – Dedicated persistent computer for Codex

Pre-commit hook that catches verbose, defensive LLM-generated code before merge.
@iampeersky · X
is blazingly fast LLM generated code slop detector & clean up cli tool that installs as git pre-commit hook to save your git history from sloppppp