@tripvento
Context aware hotel rankings powered by geospatial intelligence and semantic AI.
Building Tripvento, a B2B travel API that matches hotels to traveler intent using PostGIS, semantic AI, and 14 traveler personas. Previously worked on ranking systems at U.S. News & World Report. Head TA at Georgia Tech's Graduate Intro to OS course. Writing about geospatial engineering, Django at scale, and building travel tech infrastructure.
API partnerships, travel tech collaborations, speaking
Mar 24 · 8 min read · TL;DR: Your API responses contain fingerprints from your data sources. Your six decimal coordinates, ZIP+4 formats, and exact price values give away where you got your data from, even after you transf
Join discussion
Mar 17 · 22 min read · TL;DR: Invisible Unicode characters are the new delivery mechanism for prompt injection. If your LLM agent has tool access and reads untrusted text, you’ve essentially handed the steering wheel to who
ATApurv and 3 more commented
Mar 11 · 14 min read · This is a live account of building that system, iteration 1 shipped in January, iteration 2 starts end of March. Some of it works. Some of it doesn't. Here's all of it. I built a programmatic SEO pipe
Join discussion
Mar 3 · 23 min read · TL;DR: Profile traffic first, then move your perimeter to the edge. I added request logging with traffic source tagging, migrated to DB backed API keys with tiered responses, enforced monthly quotas a
Join discussion