Separate identification from memory
Most competitors chase ID accuracy. The open space was treating every capture as an emotional artifact, not a database lookup.
An iPhone-first app that turns photos of plants, insects, birds, and fungi into residents of a calm 2.5D garden: a visual diary of time outdoors, not a scientific ID tool, social feed, or high-pressure game loop.
Plant-ID apps are transactional: point, identify, close the app. That is useful, but it treats every walk as a lookup instead of an experience worth remembering.
Capture Garden asks a different question: what if the reward for noticing something outside was not a species name, but a small, living piece of a garden that is yours? The identification is secondary. The diary is the point.
The loop is built around a single emotional beat: you noticed something outside, and now there is proof of it, quietly growing.
Spot a plant, bug, bird, or fungus on a walk. No expertise required to start.
Photograph it inside a calm, unhurried capture flow built for a single hand.
The observation becomes a procedural resident that takes root in your garden scene.
Come back to see what has bloomed, wander the map, and read garden letters from past visits.
Most competitors chase ID accuracy. The open space was treating every capture as an emotional artifact, not a database lookup.
No streaks, no leaderboard pressure, no push notifications that guilt you back outside. Retention has to come from genuine delight.
Ship a real, textured 2.5D Skia scene with simulated growth first, so the AI/3D pipeline has a stage worth performing on.
The easiest version of this product is a gamified collection loop with streaks and push notifications. The harder, better version trusts that noticing nature is intrinsically rewarding enough on its own.
That meant saying no to mechanics that would have boosted early engagement metrics but eroded the exact calm the product is selling.
Onboarding, capture, the Skia garden scene, and local persistence all run today. Next up: real-device QA, production identification providers, accessibility, privacy hardening, and the real async AI/3D pipeline.