Index / Work / Shotfit

An AI photo coach that lives behind your viewfinder.

Shotfit is an iOS app that uses on-device vision and a small instruction-tuned model to coach casual photographers in real time — composition cues, light reading, and a single suggestion per frame. I led product and design from idea to App Store.

Role
Co-founder · Product & Design
Period
2025
Team
Co-founder · designed & built
Surface
iOS · iPhone 13+
Status
Shipped, App Store
Shotfit photo quality analysis
Idea

Most casual photographers know the feeling: the photo on the screen looks worse than the moment in front of you. Shotfit asks why — and offers one small, actionable cue. Not a tutorial, not a filter. A whisper from someone who knows.

A coach in the viewfinder, not a critic in the camera roll.
Solution

Three screens, one quiet gesture.

Scroll through the core loop — capture, review, improve. The phone keeps pace with the story.

Explore shooting categories
Per-shot photo quality score
Gallery of analyzed photos with quality scores
Step 01 · Capture

A live cue in the frame.

On-device vision reads the scene and surfaces a single composition or light suggestion — never more than one at a time, so it guides instead of nags.

Step 02 · Review

One honest score per shot.

Right after the shutter, a quick read on what worked and the one thing to try next time. Specific, forgiving, and quick to dismiss.

Step 03 · Improve

A skill arc that builds.

Weekly progress turns scattered snapshots into a visible learning curve — the quiet reward that keeps people shooting.

Outcomes

0 → 1
Founded, designed and built end-to-end.
On-device
Real-time vision + a small instruction-tuned model.
1 cue
One actionable suggestion per frame — no clutter.
iOS
Shipped to the App Store.

The hardest design decision wasn't what to show — it was everything I chose not to show. Restraint was the product.

Akif Yaldır — Co-founder