I'm committed to making it easier for you to meet someone new in NYC. We started off with a question - how can I meet someone nearby me? Our two main solutions came with being able to search for other users in AI chat from what Anuma already knows about you. Then, we created an approximate location-sharing map based UI so you can see other users on Anuma around you as well. This is our solution to creating a better social discovery platform to find other users without having to swipe or have constant paywalls from other apps. Anuma is smarter now. Anuma can plan things for you in your chats or even your group chats with other people in NYC. Anuma remembers you and uses your context to find more people you'd vibe well with. Anuma turns social discovery into a real life meetup. This is multiplayer AI for your social life.

NYC has 8 million people and something happening every night, and somehow that makes it lonelier. You find a cute new wine bar and want to go right now. You text a few friends, everyone's busy, and you end up staying in again. Watching everyone else's night on your stories. So we built a way to find people nearby you'd actually click with, based on what you're into, and meet them in person. And if you and your (new) friends can't decide where to go, just @anuma and it plans the hangout for you. If you're new to NYC and down for spontaneous hangs with people nearby, Nearby v2 is live today :)

Right or Wrong ? Switching costs for consumer AI, won't approach zero until there is a standardized export format for what is in a model's memory. The more a consumer uses a model, the more it's memory stores. The more work to export and import I'm not saying it can't be done. Obviously you can import from one model to another. But for regular users, that's a lot more difficult than saving to an xls or doc file Curious what people think ?

Two weeks since we launched Nearby. Here’s what we’re changing based on feedback from our first sprint of events: 1. We’re adjusting onboarding so it’s clearer what Nearby does, and fewer people drop off before they get there. 2. Locations on the map were always approximate, but our copy didn’t make that clear. So we changed it. People want to be findable, not trackable. 3. We’re unifying the experience across the app, so it feels like one product instead of separate features. After months of building, you can’t see your product the way a new user does. Your first users can. Shipping fast is the easy part. Listening fast is the hard part.

Today we announced an agreement to acquire Bumble. Over the past six months, we’ve looked at hundreds of companies, asking which businesses would become more valuable as AI advances.  Bumble stood out.  As intelligence becomes more abundant, we believe connecting with the right person and forming meaningful relationships will become even more precious. And frontier technology can help more people find and build those relationships. Our purpose at Ithaca is to apply frontier technology to things that matter. We acquire enduring businesses, transform them with technology, and hold for the long term. We focus on businesses not only for their financial potential but their ability to enrich lives. Whitney and her team have built something extraordinary. Millions of relationships began on Bumble, and we’re honored to help take it into its next era. Together we intend to build the best company in the world for helping people find each other. Let’s get to work.