GoKawiilBurla demo · April 2026
Every Airbnb,
looked at all at once .
Every public listing in Inside Airbnb's open dump, 119 cities, 4 quarterly snapshots. We scored 1.7M photos with CLIP (a model that turns an image into a vector you can compare to a text prompt), shortlisted the most suspicious ones, and had Claude Haiku Vision double-check each shortlist. We also scored every review and reranked the weirdest 12K with Haiku. Everything was parallelized on Burla, on a single dynamic cluster that scaled to ~1.7K CPU workers for photo download and CLIP, with 20 A100 GPUs running embedding clusters in parallel on the same cluster.
-- Listings -- Photos scraped -- Reviews scored -- CLIP-scored -- GPU detections -- Peak workers
Listings, reviews, and calendars come straight from public Inside Airbnb dumps. The findings cards below use bootstrap 95% confidence intervals on each listing's 365-night calendar occupancy (how booked a listing is over the next year, our demand proxy). Click any photo to expand it. Click any review to read it in full.