Underpriced AI – Snap a photo, get instant resale value with AI
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…
In plain words
Underpriced AI helps resellers determine whether items are worth buying by analyzing product photos. Users snap a picture of an item, and the app identifies the brand, model, and era, then pulls recent sold prices from eBay and other marketplaces to provide an instant valuation with a confidence score. The tool also generates SEO-optimized eBay listings that can be published directly from the app. A free tier is available.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
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 – get a price check in seconds while you're out sourcing. Free tier available. Would love feedback from anyone in the reselling space or who's worked on similar pricing/valuation problems. https://underpricedai.com
More ai this month
the category →
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, January 2026
the whole month →- IN
Hey HN! I wanted to share something I built over the last few weeks: isometric.nyc is a massive isometric pixel art map of NYC, built with nano banana and coding agents. I didn't write a single line of code. Of course no-code doesn't mean no-engineering. This project took a lot more manual labor than I'd hoped! I wrote a deep dive on the workflow and some thoughts about the future of AI coding and creativity: http://cannoneyed.com/projects/isometric-nyc
AI · Jan 2026 · cannoneyed.com




Automatic AI-powered code reviews the moment you open a PR
Dev tools · Jan 2026 · kilo.ai
