Better conversations ↓ Better content ↓ Better conversations ↓ (loops forever)

Thank you so much to @fin_ai for having me during #NYTechWeek. It was such a great turnout and loved getting to share our story and how Fin has helped us get to where we are today at @Kalshi. We’ve come a long way, but there’s plenty more to do. Excited for what’s to come 🚀

massive respect for Hubspot and Freshworks as products and businesses - very proud to have Fin work seamlessly for all their customers.

This was a great session. Fin for e-commerce is one of the products I’m most excited about because the scale of its potential impact is so enormous. Absolutely transformative for @shopify merchants.

Excited to say that @hubspot's 300,000 customers and @freshdesk's 150,000 customers can now use @fin_ai to power their Customer Service, giving their customer's instant accurate excellent answers. Links in the thread.

The narrative in Ireland is often 'data centres are bad' The narrative should be 'why has the government not moved heaven and earth so that we can be exporting wind energy AND powering data centres and the entire nation' We should have a renewables surplus in Ireland.

If you're part of the 'agents-won't-really-dominate-traffic' club well I have news for you, man

Is there even space in the world for 60 Minutes when Gwynnie is out there doing the grilling?

This is really stupid, and it’s not getting enough attention. The Trump administration is pulling a working $368 million ocean monitoring system out of the water, equipment taxpayers already bought, built, and sank into the deep ocean. And they are doing it right when the oceans are behaving in ways that alarm the scientists who study them. Record-breaking temperatures. A system of Atlantic currents that may be lurching toward collapse. The response? Yank out the instruments and walk away. That is not budgeting. That is smashing the gauges while the engine is on fire and calling it efficiency. For what? The Trump administration dressed it up as a “nimbler approach” and “smart lifecycle management,” which is fancy nonsense for “we shut it off and hoped nobody would ask why.” There is no return-on-investment analysis. They cannot show taxpayers save a dime, because the gear is already paid for and the science it produces protects real money and real lives. The kicker: the same people killing the monitors want to mine the deep sea for minerals. So they are destroying the only tools that could measure what that mining does. That is not an accident. That is the point. You cannot see the damage if you break the instruments first. cnn.com/2026/06/03/climate/o…

Cool to see @Plaid integrate with @fin_ai directly meaning Fintech companies can simplify their literal most common interaction (account validation/verification)

Day 3 closed out Fin Labs New York on a high note. Paul Adams, CPO at Fin, opened the day with an executive briefing that set the context for everything that followed. Then Dee Kapila, Rati Zvirawa, and Angel Horowitz from DaySmart led a fireside on where AI agents actually stand today, and what it takes for teams still on the sidelines to make their move. Next, Rigby Crawford, Santiago Luque, and Eric Broulette from Bloomerang walked through what great Fin deployment looks like in practice, with real examples from real teams. Then Brian Donohue closed the event with Prithvi Rajasekaran from Anthropic, telling the story of how doubling engineering productivity with AI unlocked something bigger: a full product rebuild and a new baseline for what a modern product team can ship. Three days in midtown. Hundreds of leaders and practitioners who showed up ready to build. Thank you to everyone who joined us and made Fin Labs New York what it was. We're just getting started.

Excited to share @Plaid is now natively available within @fin_ai AI Agent 🤖 Customers can resolve bank connection issues directly in chat, reducing drop-off and delivering faster resolution times (days > seconds). Read more about our partnership and how to request access 👇 This is the first of many AI-native experiences we’ll be partnering up with @eoghan, @destraynor, and the Fin team on. Stay tuned. plaid.com/blog/plaid-link-in…

Few companies back their voice product enough that they'll put their demo out in the wild. Fin Voice 2, powered by our new Apex Flash model, is something we're extremely proud of, so we put it at fin.ai/voice so you can try it yourself.

Apex Flash is very cool, but tune in tomorrow for a launch that’s even cooler.

Last night, Fin Labs New York hosted a conversation we've been wanting to have in public for a while. Our VP of Customer Support, Declan Ivory, sat down with George Dilthey, Head of Support at Clay, for an honest, unscripted look at what it actually takes to use AI across the entire customer lifecycle. A few ideas that resonated most with the room: → "Qualify everywhere" — Clay doesn't just qualify customers at sign-up. They've extended that logic to every touchpoint: support queue, growth strategist handoffs, even Fin conversations. Ask for a demo mid-support chat and the same qualification workflow routes you to the right person instantly. → Flip your metrics — George's team now treats high first contact resolution as a signal that Fin should be handling something. If it can be solved in one interaction, why is a human involved? → Path to 95 — Fin's own CX team is targeting 95% automation, currently at 84%. The goal isn't hitting 100%, but finding the threshold where AI handles everything it should, freeing humans for consultative, high-context customer work. George put it well: "We're not thinking about what is this person's role versus this person's role. We're just able to help the customer in the best way possible." The companies getting the most from AI aren't only using it to respond and resolve tickets. They're rethinking what a customer relationship looks like when an AI agent has full context and the ability to act. Thanks to George and the Clay team for being so open about the real journey. You can find the full recording of their conversation below.

Sitting in a @fin_ai GTM talk in #nyc, where @brian_donohue & @poyark are discussing the challenges & opportunity of a consistently rapid product shipping cadence, and mid-session, @eoghan announces our new AI model, teasing a major product release we have slated for tomorrow.