Every product Picta has shipped or has on the roadmap, after removing cancelled / never-prioritized concepts.
Descriptive tags — format, AI level, transformation, creation effort, participation, purchase context, motivation, portfolio role, differentiation.
Judgment scores (H/M/L) on need strength, desirability levers, simplicity, app-justification, and potential across portfolio roles.
What kind of transformation are we applying to the photo? (Restyle, Compose, Generate, Augment, Restore…)
Who is this product for?
Why does someone buy this product?
How much effort do we ask of the user — and how big is the payoff?
Where does this sit on the price ladder?
Is the need documented somewhere — or just assumed?
What makes this product desirable to a buyer today?
How defensible is this against competitors?
How well could this drive new users to the app?
The products with the strongest acquisition potential skew toward our least differentiated work.
Strong on one doesn't imply strong on the other — and we need both. So they have to be evaluated separately.
Why: proprietary scan tech is hard to copy.
Print to Video, Card-video, Photobook Revelio, Capsule Temporelle.
Why: network effects + recurring engagement.
Mashbook, Famileo.
It splits into two flavors that need different tests.
The generic format sells, but personalizing it isn't an established market — activity books, coloring photobooks, search-and-find. 12 products scored Need = Unknown. Open question: does personalizing create real demand?
Established markets — custom illustrations, portraits, storybooks, family trees, restored old family photos — built by artists. Untested whether customers accept an AI version: democratize or cheapen the "a human made this" value?
are Restyle products. And 9 of 13 live (69%) are restyles.
priced at $16+. Only 5 are impulse buys (<$5).
are low creation effort (one-or-two-tap). We ask little of the user.
Only 9 of 33 products genuinely need the app — for specific mobile mechanics, not because they're complex.