Resale & arbitrage
Marketplace Deal Hunter
Spot the underpriced listing while it is still underpriced.
- Status In private use
- Built with Node.js · Playwright · Self-learning price model
- 0 messages sent automatically
- Learned market value, from what actually sells
Resale is a speed and pricing game. The edge is knowing, within seconds of a listing going up, whether it is genuinely below market — and most people are guessing at market.
The valuation learns
Rather than a fixed price table that goes stale, the model builds its sense of market value from observed sales and from your own decisions. Reject enough listings at a given price and it stops surfacing them.
Human sends every message
The tool drafts. You send. That is a deliberate boundary — it keeps the account safe and it keeps the conversation honest with the seller on the other end.
What is inside
The modules that ship with it
Each one is a working screen with its own entry forms and reports, not a line on a roadmap.
Scanners
Saved searches that run continuously across your area.
Scoring
Each listing against a learned market value rather than a fixed table.
Drafts
An opening message written for you to read, edit and send yourself.
Feedback loop
Your accepts and rejects sharpen the next score.
Privacy
No scraped personal data and no throwaway accounts.
Also true of it
- Scans local marketplace listings continuously against your search criteria.
- Scores each listing against a market value it learns from what actually sells.
- Drafts the opening message — you read it and send it yourself.
- Learns from your accepts and rejects, so the scoring sharpens over time.
- No auto-messaging, no fake accounts, no scraped personal data.
How it is built
Boring technology, on purpose
Nothing here rests on a framework that will be abandoned in two years or on a hosting bill that grows with your success. It runs on an ordinary server, it backs up with ordinary tools, and the data stays yours.
- Node.js
- Playwright
- Self-learning price model
- Draft message generation
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