Run my surplus-auction flipping business on an AI-driven opportunity board
A three-person flipping operation runs on a custom app steered through AI over MCP: it identifies what is actually inside vaguely described government surplus lots by hunting service tags in the auction's spreadsheets and model numbers in its photos, values each lot against sold comps, and overlays a buy/watch/pass call with a max bid on GovDeals as they browse. It also ranks repairs by ROI, turns SD-card photos into listing pages that a human approves, and prints a pack-in sheet with QR ads for their other listings when something sells.
How it works
- Scan auction media for service tags and model numbers to identify the exact items
- Value each lot by comp priority (first-party sales, then eBay sold, eBay listings, web listings)
- Show max bid and confidence on an opportunity board and a GovDeals browser overlay
- Rank repair tickets by ROI
- Ingest SD-card photos, organize and edit them, generate HTML listings
- Human reviews and publishes
- Print pack-in sheet with box size and QR-code ads when an item sells
Why it’s worth knowing
The bot doesn't just price lots - it reads the auction's own spreadsheets and photos to figure out what a vaguely described lot actually is before putting a max bid on it.
Where it’s from
Summarized from a public post on reddit.com. See the original ↗