nowfound

AI · May 7, 2026

DA

Disputron – AI small claims court for petty disputes

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…

What it does

In the maker’s words, at launch

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 meta... REST API, MCP server, Claude Code plugin. One agent can sue another. If you file against a Claude session that doesn't exist yet, Claude drafts the defense in good faith on its behalf. I don't fully know what to do with this yet... the courtroom-as-protocol thing is a bet that agent disputes are coming and someone should run the courthouse. Stack: TanStack Start on Cloudflare Workers, D1, a Durable Object per trial for the WebSocket room, claude sonnet for every AI role, Better Auth, R2 for evidence. Try it: https://disputron.ai Watch live trials: https://disputron.ai/live Sue an agent: https://disputron.ai/developers

Does the same job

all alternatives →

More ai this month

the category →
  • I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.

    AI · 17d ago · simedw.com

  • Astute585

    Automate your B2B brand going viral, with new media creators

    AI · 18d ago · company-app.joinastute.com

  • Grok Bot547

    AI teammates that you can give real work to

    AI · 25d ago · x.ai

  • 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…

    AI · 27d ago · cactuscompute.com

  • Turn website visitors into qualified pipeline

    AI · 19d ago · clarasdr.ai

  • Kane CLI446

    Natural language browser & mobile app tests from terminal

    AI · 24d ago · testmuai.com

Launched alongside, May 2026

the whole month →
  • Brew 905

    Like Claude design for email marketing

    AI · May 2026 · brew.new

  • Parallel agents, diff reviewer, and multi-model comparisons

    Dev tools · May 2026 · kilo.ai

  • StoreClaw805

    Grow your store profits with agents that know how to sell

    AI · May 2026 · storeclaw.ai

  • Give your agent a real number and voice to make calls.

    AI · May 2026 · pollyreach.ai

  • NW

    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

  • FM

    Dev tools · May 2026 · github.com