The fusion is the product
Three public demand signals, joined in one dataset. The value isn’t raw data volume — it’s the convergence.
Compare the output
A score with no provenance. You can’t see where it came from, or why to trust it.
- Autocompletepresent · commercial intent
- YouTube32k views/day · rising
- Web SERPreddit #1 · low concentration
Demand confirmed across sources, with per-source evidence you can audit.
The math behind the numbers
No black-box scores. Every headline metric is a formula you can read — here’s exactly how each one is computed, and why.
Noise-corrected view velocity
Raw view counts reward old viral flukes. We measure sustained daily pull, zero phantom spikes (>1M views on brand-new or un-enriched videos), and count each video once — not once per keyword it ranks for (which would inflate demand ~8×).
How winnable the niche is
The Herfindahl index of creator demand-shares: 0 = fragmented, 1 = monopoly. Its inverse N reads plainly — a market can “behave like ~212 equally-sized creators.”
Demand vs. competition
High demand with few creators is an opening. This re-ranks keywords by how underserved they are, not just raw volume.
What the search wants
Every keyword is weighted by how buyer-ready its intent is — a “X vs Y” query is worth 5× a “what is X”. Those weights drive the priority queue.
Comparable across niches
Markets span orders of magnitude, so counts are log-scaled to a 0–100 shape and demand bands come from global quantiles — every niche measured on the same ruler.
These are the same formulas behind every report and the free tools — nothing is hidden or proprietary-by-obscurity. The data is the moat; the method is transparent. The panel they run on, and the limits of what it can support, are set out in the methodology→.
A view is a click. This is the hour.
Watch-hours per day, not clicks per day. It’s a different axis from reach, not a refinement of it — a channel can win the views and lose the hours. Every video counted once, never once per keyword it ranks for.
Nobody finishes a three-hour video
Multiply views by length and a podcast gets credited three full viewer-hours per click. So each view is discounted by an estimated completion rate that falls with length: 3 min keeps 65%, an hour 28%, three hours 15%. The shape is fixed from published retention studies; the constants are calibrated, not measured — YouTube keeps the truth. It halves the >2h band.
Who counts as a competitor
Ungated, “most watch-time in home fitness” returns Joe Rogan — three-hour podcasts that mention a kettlebell once. A channel joins a market only if it actually competes there. The focus threshold isn’t arbitrary: focus is bimodal across 624k channels, and 0.6 sits in the empty valley between the two modes.
What a niche is worth in hours
Total watch-hours a day inside a market — its economic size, as opposed to footprint’s coverage. Niches span 34× on this. It also reorders the leaderboard: the biggest channels by hours are often invisible by keyword footprint.
The full analysis — why every niche is really five markets, and which one is open — is in the write-up→.
Three steps to your report
We map your niche
Seeds expand through search autocomplete into thousands of intent-tagged keywords for your vertical.
We collect live signals
Across sources: YouTube engagement velocity and live web SERP composition, joined per keyword.
We deliver your report
Analyst-reviewed today, on real data — your rankings, your gaps, the competitor landscape.
Reports are delivered by our team today while we open self-serve — every one built on the same weekly-refreshed data behind the tools you can try right now.