Analysis updated 2026-05-18
Compare prices for AI subscription resellers across many scattered sales channels in one place.
Submit a storefront link so it gets listed alongside other reseller channels for free.
Self-host a local copy to browse or study the price aggregation and classification logic.
| bytedoger/awesome-openprice | mattpocock/sextant | pulkitxm/claude-directory | |
|---|---|---|---|
| Stars | 173 | 173 | 172 |
| Language | TypeScript | TypeScript | TypeScript |
| Last pushed | — | 2020-11-25 | — |
| Maintenance | — | Dormant | — |
| Setup difficulty | moderate | easy | easy |
| Complexity | 3/5 | — | 1/5 |
| Audience | general | pm founder | vibe coder |
Figures from each repo's GitHub metadata at analysis time.
Needs Supabase/PostgreSQL setup and a separate Python environment for the scraper to get live data.
OpenPrice is an open source project that gathers and displays pricing for AI subscription resellers scattered across many different sales channels, such as card shops, storefront bots, social media groups, and secondhand marketplaces. The README explains that buyers normally have to search across many scattered channels to find AI subscriptions like Claude, GPT, Codex, or Gemini access at a fair price, while sellers with good, low priced offers often lack a place to reach buyers. OpenPrice tries to close that gap by collecting listings in one place so buyers can compare prices, and by letting sellers submit their channel for free listing. The site itself is a web app where visitors can browse the lowest current prices for AI subscription products, plus other digital goods the README mentions like phone verification services, residential proxies, and social messaging accounts. Sellers can submit their storefront link to appear in the listings without a complicated approval process, and the README says onboarding for several popular storefront systems already works, with support for more systems planned. On the technical side, the frontend is built with Next.js 14, React, Tailwind CSS, Material UI, and Framer Motion, the backend uses Supabase with PostgreSQL for data and authentication, and a separate Python based scraper and rule based classification engine collects and sorts the listings. Setting it up locally means cloning the repository, installing dependencies with npm or pnpm, copying an example environment file, initializing the database from a provided SQL schema, and running the scraper separately if you want fresh data. The README includes a disclaimer stating the project only aggregates and objectively sorts prices, does not take part in any transactions, and does not guarantee the quality of any listed product, leaving buyers responsible for their own due diligence. It is released under a custom license that allows personal use, local deployment, and code study, but explicitly forbids running it commercially, operating a competing price comparison service, or reusing its name, data, or branding without written permission.
A web app that aggregates AI subscription reseller prices from scattered sales channels into one comparable listing site, plus a free channel submission page for sellers.
Mainly TypeScript. The stack also includes TypeScript, Next.js, Supabase.
Free to study, self-host, and use personally, but running it commercially, competing with it, or reusing its branding and data requires written permission.
Setup difficulty is rated moderate, with roughly 30min to a first successful run.
Mainly general.
This repo across BitVibe Labs
Verify against the repo before relying on details.