CoverKeep - AI Warranty Tracker
AI draft claims, Track warranties, and get recall alerts.
What it does
The average household owns 30+ warranted products and has no system for tracking them. CoverKeep fixes that. Scan any product with your camera — AI identifies it in seconds. Get reminders before warranties expire. Check your products against the CPSC recall database (found a recalled heater I never knew about). When something breaks, AI checks if you're covered and drafts the claim email for you. Built because I lost $500 on a washer warranty I forgot about. Never again.
Does a similar job
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Warranty Keeper — Чеки та гарантіїMay 2026 · warrify.io · ▲3Never miss a warranty — AI receipt tracking & reminders
SnapRegistersJun 2026 · snapregisters.com · ▲2Snap a receipt, track every warranty automatically with AI
WarrantyVault - Receipt KeeperMar 2026 · apps.apple.com · ▲4Snap receipts. Track warranties. Get reminded in time.
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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…
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Dev tools · May 2026 · github.com