How Photomath got its users
Massive seasonal search intent, plus peer-to-peer sharing that happens by itself in school corridors.
Read from signals. Consistent with what is publicly observable, but nobody confirmed it. Check before you quote it.
You could start this on Monday. No budget, no audience, no permission needed.
The edge you do not have: A math recognition engine hard to match at the time
- Predictable seasonal demand
- Peer virality with no mechanic needed
- Technical execution that feels like magic
- A dense, connected audience
App Store search in 2026
Underrated and still profitable on utility functions. Saturated in high-LTV categories.
Everything on this channel →The play
3 steps, in the order they ran them.
- 1
Solve a task the audience suffers through on a recurring, dated schedule
- 2
Own the exact word the audience uses, not the industry term
- 3
Let peer-to-peer demonstration do the distribution
The product itself
read from photomath.com, live“Meet Photomath.”
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
Acquired by Google
What else they ran
The evidence1 checkable
- Seasonal store search volume
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.