LOOT
AI thrift arbitrage. Real verdicts in 2 seconds.
What it does
Scan any thrift item, vintage piece, or yard sale find — get an instant verdict on whether it flips. Live eBay comps, BOLO alerts, yard sale maps, and FLIP OR SKIP, a daily mystery-item game. Built for resellers.
Does the same job
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- IMI made a price aggregator to find the best PC parts deals across eBay2025 · pcprice.watch · ▲20
Started PC flipping as a hobby (buying used parts, building PCs, and selling them for a small profit). Found that focusing on used parts on eBay gives the best margins - like finding a GPU 20% below market, pairing it with other deals, and selling the complete build locally. I discovered that eBay marketplaces (.com, .de, .co.uk etc.) often have different prices for the same items! Or just completely different items. So I built an eBay price scanner for PC components. It scans listings across different Ebay markets, calculates median prices, and flags anything selling below market (including…
- UAUnderpriced AI – Snap a photo, get instant resale value with AIJan 2026 · underpricedai.com · ▲10
Hey HN, I built Underpriced AI to solve a problem I had as a part-time reseller: standing in a thrift store trying to figure out if something is worth buying. How it works: - Snap a photo of any item - AI identifies the brand, model, maker, era, etc. - Pulls recent sold prices from eBay and other marketplaces - Gives you an instant valuation with confidence score You can also generate SEO-optimized eBay listings and publish directly from the app. Tech stack: Next.js, Claude API for vision/analysis, eBay API for market research and listing. The "Quick Scan" feature is designed for mobile…
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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
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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
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