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Flipper

Local-first resale intelligence and operations. Flipper helps find and evaluate opportunities, record what was actually acquired, track inventory, reconcile marketplace activity, and measure recorded results without turning a marketplace account into the system of record.

The Deals workspace searches active eBay listings through the official Browse API. The original analyzer remains a secondhand-PC specialization. Inventory, sales, accounting, and reporting span the broader resale workflow.

Product lifecycle

Research → Save Snapshot → Acquire → Inventory → Sale / Reconciliation → Decision vs. Outcome → Insights
Start here What it covers
Getting Started Installation, first analysis, and the local web app
Deal Intelligence Exact expected economics, evidence, risk, and tradeoffs
eBay Discovery Live read-only search, assumptions, and acquisition boundary
Inventory Q-numbers, lifecycle, attachments, and valuations
Selling Sales, costs, reconciliation, and reports
Architecture Domain boundaries and service layout
Development Tests, formatting, and migrations

Start with installation and setup, then choose a task from the Guides section.

Workflow

Research an opportunity in Deals, adding explicit assumptions, trip modeling, and comparable evidence as needed. Working research remains temporary until you choose Save research snapshot. After a purchase, record actual acquisition facts to create the authoritative inventory Q-item.

Track that item in Inventory, including actual sourcing travel and attachments. Record or import the sale and reconcile its costs in Sales. When saved research is explicitly linked to the Q-item, open Decision vs. Outcome from the snapshot, inventory item, or related sale. Insights then summarizes eligible historical realized results; it is descriptive history, not a forecast or recommendation.

Boundaries

Flipper does not scrape marketplaces, mutate eBay, store searches as deal history, convert currencies, or claim incomplete economics are final profit. Optional external integrations fail independently from deterministic local paths. Browse results are active listings, not sold evidence. Comparables are evidence rather than automatic valuations, and historical metrics are descriptive: Flipper does not predict future resale performance or provide tax advice.