@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
3d ago · 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
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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
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Feb 17 · 12 min read · When your hotel database thinks "Game Room, Deck & Yard: Chicago Home" is a hotel, you have a data quality problem. When it happens across 212 cities in 25 countries, this isn’t a travel problem; it’s
Kklement commented
