Vetract
AI contract risk analysis — know before you sign.
What it does
Vetract LEX analyzes any contract clause by clause and flags indemnification traps, uncapped liability, one-sided IP assignment, auto-renewal gotchas, and 120+ other risk patterns in under 60 seconds. No free trial. No fluff. Upload a PDF or DOCX and get a plain-English risk report with negotiation recommendations. Built for founders, freelancers, and legal teams who are tired of signing things they don't fully understand. Your contracts are never stored. Zero document retention, always.
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ContractScan AIJun 2026 · scan-contracts.lovable.app · ▲2Understand any contract in 60 seconds with AI
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I got tired of slogging through walls of legal text whenever I had to sign something important, so I built a Chrome extension that uses AI to: - Spot red flags and suspicious clauses – It automatically highlights risk areas in real-time as you read through an online contract. - Score the contract’s safety – Based on industry-standard risk parameters, it gives you an at-a-glance score so you can see how risky the document might be. - Simplify the jargon – It generates a quick summary of the key points, saving you from reading every paragraph in detail. No more signing on hunches or bets!…
Signeth Read Every Contract Risk NothingJun 2026 · cheerful-hummingbird-79a802.netlify.app · ▲3AI reads your contracts and tells you what to negotiate
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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…
AI · 27d ago · cactuscompute.com
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Parallel agents, diff reviewer, and multi-model comparisons
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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