
Self-operated inference at the market floor on TokenGO
OpenAI-compatible API for running open-weight LLMs and video models.
bingus-bongo · HN
Use GLM-5.3 in Cursor today via tokengo API
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24 projects

OpenAI-compatible API for running open-weight LLMs and video models.
bingus-bongo · HN
Use GLM-5.3 in Cursor today via tokengo API

Self-learning AI platform that improves from user-verified feedback and teaching.
thomasconway01 · HN
Conw.ai – Independent local AI platform and developer API

Inject engineered cognitive abilities into AI agents at inference time.
@frank_brsrk · X
reasoning tools for ai agents

Deploy AI inference models on serverless GPUs with sub-200ms cold starts and pay-per-second billing.
@svpino · X
You can check out Runpod here: Thanks to the Runpod team for partnering with me on this post.

Compare and evaluate AI models across coding, reasoning, agents, and other benchmarks.
davidtsong · HN
Benchmarklist: track AI benchmarks (2.4k+), models, and capabilities

Analyze US stocks by watching AI investment personas debate each company.
hobbescotch · HN
Noema – AI personas debate US listed stocks

Conduct one-way video interviews asynchronously with AI-based scoring for hiring decisions.
emunova · HN
OneWayInterview – type a job role, AI builds the async video interview

See the concepts a language model holds at each layer before it answers.
ada1981 · HN
I built a web tool to see and edit what an AI thinks before it answers

Analyze conversational agents to find silent failures, user frustration, and policy violations.
garrytan · Product Hunt
Agnost AI Catch agent failures your evals miss

Verify AI agent decisions locally with transparent reasoning and MCP integration.
brandon_grutkowski · Product Hunt
Aurora Glass-box Quantitative AI for Humans and Agents

AI agent on a cloud computer that automates workflows, drives browsers, and runs deep research.
u/Sea_Way6729 · Reddit
We started working on MoClaw 6 months ago as a side project, and managed to turn it into our main and only business! About half a year ago, a group of friends and I started working on a tool in our free time. We wanted a safer and more streamlined version of OpenClaw because there were many, many stories about AI going rogue, and ultimately decided to make one ourselves. On top of that, the costs of running autonomous, independent agents were quite high if you wanted to do it the proper, safe

Evaluate AI products against published agent criteria with inspectable evidence and community votes.
@katyorby · X
i built — a local receipt for claude code runs. your check says whether the workspace passes now; the transcript supplies the activity counts. no transcript upload and no magical autonomy score.