🎳 Bowling Night for AI Enthusiasts | Toronto Founders Club
Downloads an .ics file · Times are in America/Toronto · Google Calendar
Hey, how's it going? 🎳 Bowling Night for AI Enthusiasts | Toronto Founders Club looks like it should be pretty interesting. Want me to help you organise around it?
Event details
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Add to calendar · Downloads an .ics file · Times are in America/Toronto · Google Calendar
Strikes, spares, and startup ideas. 🎳
Close the laptop for a night. Toronto Founders Club is taking over the lanes for a social bowling night for founders, entrepreneurs, and professionals who work in or around AI, or are just curious about it.
There are no pitches, panels, or name-tag speed networking. You get an hour of bowling and the easy conversations that start when you're cheering for someone's gutter ball.
🤖 Who should come
Founders and entrepreneurs building with AI, or thinking about it
Professionals in AI or AI-adjacent work, from product and engineering to marketing, sales, design, and operations
Anyone who's AI-curious and wants to meet ambitious, friendly people in Toronto
You don't need to be good at bowling. Some of the best conversations start after a gutter ball.
🎉 What to expect
Mixed teams, so you meet new people every frame
Honest talk about what you're building, what's working in AI right now, and what's overhyped
Bragging rights for the highest score, and sympathy for the lowest
🕖 Schedule
6:30 PM: Arrive, grab a drink and your bowling shoes
7:00 PM: Teams are set and bowling starts
8:00 PM: Wind down, chat, and mingle
8:30 PM: Wrap
📍 Good to know
This is a paid event with limited capacity. Spots depend on the number of lanes, so book early to secure yours.
Your ticket covers an hour of bowling and bowling shoes.
Food and drinks aren't included. You can buy them at the venue.
Photos may be taken during the event.
👋 Your host
Ayush is currently at Alexa AGI working on building the Alexa+ experience. Before that, he spent several years in the Bay Area, building open-source large language models at MosaicML and working on AI infrastructure at Meta. Ask him how LLMs actually get trained, what it takes to run AI at scale, or about his bowling average (at your own risk).
See you on the lanes! 🎳
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