How the opportunity score works

Five signals, one formula, refreshed every night. Here is the whole pipeline, including what it can't tell you.

194

Ideas tracked

3,921

Keywords measured

3,867

Page-one results scanned

8,592

Daily score snapshots

People

“Rank these 1, 2, 3”

Pop-up. Only crowd input. No head-to-head buttons.

Search demand

DataForSEO / Semrush

Refreshed nightly by cron. Volume, 12-month curve, CPC, ad competition, plus a keyword cluster and the live page-one results for every idea.

1 ranking = 3 head-to-heads(1>2, 1>3, 2>3) · Elo K=16

Cluster tagged by intentbrand searches removed · products split from articles

topic_ratings

Elo scores

topic_rating_history

topic_rankings feed

topics

Cluster volume & size

volume_history · 3-month momentum

topic_keywords · topic_apps · topic_insights

Opportunity score

0.40

contestable demand (log, brand removed)

0.25

competition gap (real products only)

0.15

momentum (3-vs-3 months, capped ±60%)

0.10

willingness to pay (CPC)

0.10

crowd rankings (Elo, scaled by votes)

Missing signals are dropped and the rest renormalised, so a blank never counts as an average. Scaled so #1 = 9,999.

Idea market table

+ Recent rankings activity tab

Topic detail page

Demand chart, apps, revenue potential

topic_snapshots (daily)
trend lines & 7-day delta

Spin page

Pulls a live topic + its opportunity score/rank