PixelPeople – Generate people in pixel art for React
DiceBear for pixel art, but React-specific with crowd component.

Produces trackable QR codes for URLs, vCards, WiFi, SMS and events with a clean UI and toggle between static and dynamic modes plus per-scan data (time, device, location). The choice of Django + HTMX/Hyperscript gives a low-JS, snappy feel that I liked; the product feels built from a real customer problem (an art gallery). It does what it promises, but it's entering a crowded market — add bulk import, a public API and clearer privacy controls for location tracking to make it stand out.
Small business owners, art galleries, marketers, event organizers
I built an internal tool for them and later extracted it out into Scansprout (https://www.scansprout.com).
It generates QR codes and tracks scans including location, device, time. You can see which codes are actually getting engagement vs. which are being ignored. For the gallery, this helped them understand visitor behavior and figure out which artists to feature more prominently.
Tech stack is Python (Django), Postgres, HTMX, Hyperscript. Hosted on Heroku. Happy to answer questions about the build or the tech stack. Would love your feedback :)
DiceBear for pixel art, but React-specific with crowd component.
Yet another art platform, but combines AI and traditional work in one gallery.
Static photo gallery with Docker mode removes Go and Node dependency hell.
Yet another archive search interface when Google Arts & Culture already exists.
Scrapes URL, extracts brand voice, outputs ads in 60s—solves real CPA pain, but plenty of competitors exist.
98% context reduction for AI agents—measured on real projects.