222
222 uses AI to engineer 'meet-cutes,' matching strangers for IRL dinners, hangouts, and dates in NYC and other major cities.
Why people are saving it
222 is worth saving because it turns AI matching for in-person social plans into a clearer consumer workflow.
What they're building
222 uses AI to engineer 'meet-cutes,' matching strangers for IRL dinners, hangouts, and dates in NYC and other major cities.
Foundation model usage
222 puts inference inside repeated consumer behavior rather than a one-off prompt surface.
NYC footprint
222 is part of the New York City AI startup scene, with a profile focused on its market category, stage, and product signal.
Funding
Latest funding: Series A · 2024-2025. Total raised: $13.7M. Lead investor: Y Combinator + undisclosed institutional.
Platform / OpenAI fit
Good fit for personalization, conversational UX, recommendation loops, memory, multimodal understanding, and safe action-taking in consumer contexts.
Notes
222 is tagged consumer signal based on buyer clarity, repeat workflow signal, public activity, and fit with the AI Atlas map.

