ListingLift: a local AI listing writer for resellers (Hacktoberfest HF26 Week 2 — Side Hustle)
What I built ListingLift is a small local-first web app for resellers (Etsy, eBay, Depop, Facebook Marketplace). Upload one photo of whatever you're reselling, pick a platform, and it generates a ready-to-paste title, SEO tags, description, suggested price range, condition notes, and a platform-specific tip — all from a local, open-weight vision model running on the seller's own machine via…
ListingLift is a web application designed for resellers to quickly create listings for products on platforms like Etsy, eBay, Depop, and Facebook Marketplace. The app is built locally, using an open-weight vision model called Gemma, which runs on the user's own machine via Ollama. Users simply upload a photo of the product they are reselling, select the platform, and the app generates a complete listing, including title, description, SEO tags, suggested price range, condition notes, and a platform-specific tip.
All data processing happens locally, with no cloud APIs involved, ensuring privacy and no per-listing costs.
The project, named ListingLift, was developed by an individual for the Hacktoberfest Open-Source AI Challenge, specifically Week 2 of the Side Hustle theme. The challenge encouraged participants to build something with open-weight models that people would actually pay for. The developer submitted a DEV post tagged with #hf26challenge, and created a public GitHub repository to host the code.
The agent also recorded a demonstration of the app in action through a GIF, showing the process of uploading a product photo, filling out the form, and viewing the generated listing.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
