Stillfinder
An AI still-life companion that scans your everyday objects (mugs, vases, fruit bowls) and suggests Morandi-inspired arrangements, lighting angles, and color harmonies before you take the shot.
Amateur photographers and hobbyists exploring still-life photography
- Object recognition that surfaces the geometric vocabulary Morandi loved — circles, cylinders, ovals
- Composition suggestions that mimic a chosen master's palette and depth-of-field style
- Side-by-side comparison with archival master still lifes to teach visual literacy
- Personal gallery tracker that flags the most 'punctum'-worthy frames from your own shoots
A 2026 rerelease of Meyerowitz's Casa Morandi archive plus steady art-photography interest on Hacker News signals renewed appetite for learning from masters — but most hobbyists can't travel to a Bologna studio, so they need digital mentors.
Source HN post itself has only 3 points and 0 comments — very weak signal. Morandi color palette is trending in 2025 lifestyle/decor content but still-life photography as an active hobby niche lacks clear evidence of large app demand.Morandi or Pastels? How to Choose (or Rock Both) for Your 2025 Aesthetic ↗15 photography trends for 2025 all creatives should know ↗
ComposeAI and GudoCam cover general AI composition but none focus specifically on still-life object scanning + master-painter arrangement; a 2021 MIT/Leonardo paper on Morandi-based ML composition confirms the niche is academically explored but not productized.A Machine Learning Application Based on Giorgio Morandi Still-Life Paintings ↗ComposeAI - AI Smart Composition Camera ↗
Photography apps monetize (Lightroom Mobile $9.99/mo, ComposeAI ships as paid app), but the narrow Morandi/still-life framing may cap addressable audience; hobbyists are notoriously price-sensitive and the core object-scanning + AR guidance value is hard to demonstrate without trial.Lightroom pricing and membership plans ↗ComposeAI on the App Store ↗
Morandi palette is a 2024-2025 lifestyle trend but color/aesthetic trends are cyclical and typically 2-3 year waves; still-life photography fundamentals are durable but a master-painter-themed mentor may feel dated quickly.
Object detection/scene understanding from a phone camera plus arrangement suggestion is well within current vision-LLM capabilities; the MIT/Leonardo paper demonstrates the core ML pipeline is research-validated, though AR overlay of suggested object placement adds meaningful build complexity.