
Disputron
AI small claims court for petty disputes
What it does
Settle your petty disputes with AI lawyers and an AI judge.
Does the same job
all alternatives →- DADisputron – AI small claims court for petty disputesMay 2026 · disputron.ai · ▲9
Disputron is a small claims court for petty disputes. Two parties file, AI lawyers argue both sides, and a AI judge rules from the bench. Trials run live in a courtroom view with a live court tv guide. Anyone can watch. I built it because I wanted to build something with an LLM that didn't take AI too seriously. I think it started with a text "have your lawyer talk to my lawyer." Just leaned into the absurd nature of it. Brought in human designers, illustrators, and musicians. If I didn't already spend enough time on it, I exposed the whole thing to AI agents. I don't know, seemed pretty…




- AAAn AI courthouse to resolve arguments with your friends2023 · funcannyai.com · ▲8
An AI judge will rule on your dispute between friends, roommates, or lovers (ok, maybe not lovers).
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai


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Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com
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Dev tools · May 2026 · github.com