UP

Going-out apps only cover the handful of venues that bother to claim a profile, and they're ruled by permanent reviews that can sink a business over one bad night. A startup wanted a warm "what's good tonight" guide that covered every venue in a city from day one, and a ranking that lets owners recover instead of being punished forever. The catch: no content team could ever hand-fill thousands of venues.

UP is a personal going-out guide that knew every venue in the city on day one. A discovery pipeline pulls in every place from public data, then uses AI to categorize each one and pull its specials and events straight from review text — seeding 33,000+ venue profiles with no content team. On top sits a chat guide that answers "where's good for tacos tonight?" the way a friend who knows the city would; behind the scenes it narrows thousands of venues to the couple dozen most relevant before the AI ever weighs in, so answers are fast and grounded. Ranking is built so a business can recover from a bad stretch, and a paying venue never outranks a genuinely better free one.

• Knew every venue in the city on day one — 33,000+ profiles seeded from public data, with no content team.
• AI categorizes each venue and pulls its specials and events from review text automatically.
• A chat guide answers "what's good tonight?" grounded in the couple dozen most relevant places.
• Ranking lets a business recover from a bad stretch instead of being punished forever.
• A paying venue never outranks a genuinely better free one.

Live in beta across three metros. The 33,000-venue base that would have taken a content team years was seeded entirely by the pipeline.