
Founders Form AI
Startup Legal on Autopilot
What it does
Founders Form AI runs your startup's legal on your actual docs, not a template. Upload what you've signed and the platform reads it. From there, you run the workflow self-serve, formation through fundraising. The health check diagnoses what's broken. And it flags the obligations you've agreed to but might forget. Pro forma simulator and cap table admin live in the same record. Built by an ex-Cooley/MoFo lawyer. Startup legal on autopilot.
Does the same job
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- FPFounderBox: Prompt → Form company, website, payment, suppliers and SOPOct 2025 · founderbox.dev · ▲10
TLDR Type one sentence describing the business you want to start. FounderBox returns a full “business kit”: your company name, incorporation guidance, website, Stripe checkout, supplier matches, ads, and a basic SOP to operate. Why we built this We all know this pain: Starting a small business today means gluing together five consultants, seven subscriptions, and hundreds of small tasks, even though 90% of it has already been automated by AI. You have lawyers charging $1,200 to file basic paperwork, marketing consultants writing the same “About Us” copy with ChatGPT, and agencies billing $3K…


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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
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 19d ago · company-app.joinastute.com


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


Launched alongside, May 2026
the whole month →

Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.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