VIGILATE
Legal document summarizer. No jargon, just simple english
What it does
AI Powered Legal document summarizer. By utilizing Llama 3.3, we ensure that documents of any length are easily processed in sub-second speeds with minimal wait time. All legal jargon is removed and replaced with simple English, allowing anyone and everyone to understand exactly what they are signing. States the summary, benefits, responsibilities, and the red flags that directly influence a risk matrix, where the score is graded between 1 - 10.
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- UAUsing AI to Summarize Terms and Conditions2018 · ▲91
88% of people never read the terms and conditions of websites or services they use. However, most people want to know what they are agreeing to in those terms. That is why we created Legal Leaf. We strongly believe that everyone should have easy access to those agreements, in language they can understand. Legal Leaf works behind the scenes, in your browser, to read and summarize these terms using powerful AI. We're constantly working to improve the accuracy of these summaries. The results are displayed in the top right corner without affecting web speeds. Legal Leaf is a beta product still…
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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 · 18d 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
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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