@razdagan3 · X

sascha10000 · HN

Multi-agent LLM editor with local inference via WebSockets

dev_dan_2 · HN

WatchMachineGo – A visualizer to show hardware performing LLM inference

charltonraven · HN

RavenGate – LLM gateway that redacts PII across SSE chunk boundaries

CodingPanda42 · HN

Virtual Private LLM, fixed fee with no usage or token limits

userfrom1995 · HN

Goku – WASM (wllama)-powered LLM inference and model manager

@aryaan_sheth · X

- LLM security for small teams

@uncoolavatar · X

u/Puzzleheaded-Log-27 · Reddit

Building a multi-model AI deliberation tool taught me something about trust LLM Counsel isn't another wrapper around one model - it sends your question to a panel of frontier LLMs, has them peer-review each other anonymously, and an impartial "chairman" model returns one synthesized answer. Free to start, pay-as-you-go after, credits don't expire. What I've learned so far: people trust a synthesized answer a lot more once they can see that the models actually disagreed and how that disagree

ada1981 · HN

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

u/OGMYT · Reddit

I built LOLM, a lower-cost LLM agent that shows what it actually did — looking for blunt feedback I’m one of the founders/builders behind LOLM. Most AI products show an answer but hide whether the system retrieved anything useful, verified the result, switched models, hit a limit, or simply stopped. LOLM exposes those parts through controller events and run receipts. It includes: - Live agent - CLI - Coding and small app-building workflows - Memory and self-hosting options - Control decis

justin2025 · Product Hunt

Auriko Trading desk for LLM calls