ChampProof
Organize receipts, warranties & everything you own
What it does
ChampProof helps you organize receipts, purchases, warranties and important asset information in one place. Track coverage, receive warranty reminders, use AI to capture receipt details, and prepare information for claims. Accessible from mobile or desktop. Start with a 14-day Plus trial—no credit card required.Proof for everything you own. Track warranties, store receipts, and manage claims for all your purchases. A Champtron Systems product.
Proof for everything you own. Track warranties, store receipts, and manage claims for all your purchases. A Champtron Systems product.
Upload receipts, track warranties, and manage claims — all in one secure vault. AI-powered receipt scanning makes it effortless. Snap a photo or upload a receipt. Our AI extracts the details automatically. All your products, warranties, and documents in one secure vault. Never miss an expiring warranty. Smart reminders keep you protected. Generate professional claim packages with all needed documentation. Start with a 14-day free trial of Plus features. Choose the plan that fits your needs. Paid subscriptions automatically renew at the selected monthly or annual interval unless cancelled. You can manage or cancel your subscription at any time through the billing-management experience…from champproof.com
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SnapRegistersJun 2026 · snapregisters.com · ▲2Snap a receipt, track every warranty automatically with AI
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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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Life & fun · 10d ago · louisabraham.github.io
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Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
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