SnagdarInside Snagdar's demand score
Snagdar rates products on the stores it watches with a 0-100 demand score. Every point comes from a named signal with evidence you can read, so the score is explainable rather than a black box.
The signals
| Signal | Max | Evidence |
|---|---|---|
| Sell-through velocity | 40 | Observed going from live to fully sold out (within 2 minutes earns the maximum), or sizes selling out within 30 minutes |
| Resale premium | 25 | Resale value after ~18% fees and shipping compared with retail (double or more earns the maximum) |
| Scarcity language | 15 | Limited edition, exclusive, collaboration, numbered, purchase limit or raffle wording |
| Pre-release | 10 | Listed as unavailable before launch, or "coming soon" / pre-order wording |
| Freshness | 10 | Newly appeared or recently published |
| Cross-store | 10 | The same product showing up on several watched stores |
| Restock churn | 10 | Restocks that sell out again |
Scores are capped at 100. Tiers: very high 75+, high 55+, moderate 35+.
Only what was actually observed
The first time Snagdar scans a store, everything it sees is a baseline: it doesn't know when those products launched, so it can't claim they sold out fast. Speed is only measured from changes it watches happen afterwards. After downtime, anything that went live in the meantime gets no start time, so an outage can never make a drop look faster than it was.
From score to forecast
For products that haven't launched yet, Snagdar adds history: how the same brand did at the same store (then the brand elsewhere, then similar products, then the store overall), how fast those drops sold out, how often they restocked and what they resold for. The result is a forecast with a heat score, expected profit, a confidence level and a recommendation: stage now, watch or skip. Confidence rises as more comparable drops are recorded.