How PhotoRoom got its users
They capture one massive utility intent (remove the background from a photo) in the store and on the web with the same engine.
Read from signals. Consistent with what is publicly observable, but nobody confirmed it. Check before you quote it.
Reproducible, but it will cost you real money, real months, or a skill you may not have.
The edge you do not have: An image segmentation model trained in-house
- Demand that already exists, so you do not have to create it
- Two channels reinforcing each other on one intent
- Output quality clearly better than the free alternatives
- A tolerance for head-on keyword competition
App Store search in 2026
Underrated and still profitable on utility functions. Saturated in high-LTV categories.
Everything on this channel →The play
4 steps, in the order they ran them.
- 1
Find a task people describe with the same words everywhere
- 2
Own those exact words in the store title and subtitle
- 3
Double up with a free web version capturing the same query on Google
- 4
Convert free usage into subscription on volume
The product itself
read from photoroom.com, live“Sell at first sight”
Run this against your own product
Carries the play above, and is written to tell you no when this channel is out of reach for you.
The same twelve channels as an agent skill. It reads your repository and eliminates what you cannot run. Open source, MIT.
curl -o ~/.claude/skills/howtodistribute/SKILL.md https://howtodistribute.com/skill.md
How big it got
Millions of downloads, publicly disclosed funding
What else they ran
The evidence1 checkable
They ran the same play
Want this verdict on your product?
Describe it. You get back the channel I would run in your place, the 30-day plan, and the number at which you stop.