Agents & APIs Meetup by Baseten, Postman, Rootly AI, Supabase, & The Prompting Co. #SFTechWeek

Monday, Oct 5

5:30pm – 7:30pm

PTET

Hosted by

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Join us during SF Tech Week for an evening of building, learning, and connecting at the Agents and APIs Developer Meetup, hosted by Baseten, Postman, Rootly, and Supabase! Catch live demos from Baseten, Postman, Rootly AI, Supabase and The Prompting Company (YC S25). Plus, there'll be trivia for your chance to win prizes! 🎉 Agenda ⚬ 5:15 PM | Doors Open ⚬ 5:30 PM – 6:00 PM | Networking 🍕 ⚬ 6:00 PM – 7:15 PM | Live Demos & Trivia 🏆 ⚬ 7:15 PM – 7:30 PM | Networking & Wrap-Up 👋 Speakers: 👉 Michelle Marcelline, Co-founder, Prompting Company YC S25 Michelle Marcelline, co-founder of The Prompting Company, will share how developer tools can get discovered and actually used by LLMs. She’ll cover why visibility alone isn’t enough, how different models behave differently, and what makes a product usable for AI agents end-to-end. 👉 Nihar Nandan, Senior Engineer, Postman The Trusted Sandbox: Architecting Trust for Agents That Ship Real Work The instinct when you give an AI agent a task and access to your code is to treat it like a trusted teammate — hand it what it needs and let it work. That instinct is how things leak. In Postman's cloud agent, the architecture starts from the opposite assumption: the agent's execution environment is adversarial, because eventually some of what runs in it will be. That holds true whether the agent is changing your code or your Postman workspace — either way, it's touching something real, not just generating text. So trust and execution are architected as separate concerns, with the boundary between them doing most of the hard work. This talk walks through that architecture — why that boundary exists, what building for a hostile environment actually costs in engineering effort, and where the model still has gaps today. 👉 Quentin Rousseau, CTO and Co-Founder, Rootly (YC S21) 👉 Chatan Konda, Solutions Architect, Baseten From Model to Production: Scaling AI with Baseten Getting a model running is only the beginning. Productionizing it requires teams to solve for performance, reliability, GPU infrastructure, scaling, observability, and cost, while continuing to ship quickly. In this session, I’ll walk through how developers can take an open-source, fine-tuned, or custom model and turn it into a production-ready API with Baseten. We’ll follow the model deployment lifecycle, from packaging and configuring a model, monitoring performance, and scaling it for real-world traffic. Along the way, I’ll explain how Baseten handles the infrastructure behind production inference, allowing engineering teams to focus on their models and applications rather than building and operating an inference platform themselves. 👉 Tomás Pozo, Community, Supabase This event is a part of #SFTechWeek—a week of events hosted by VCs and startups to bring together the tech ecosystem. Learn more at www.tech-week.com. ​By registering you agree that listed host companies can send you updates and news about their products and services. You can unsubscribe anytime using the link in an email or by contacting the companies. Attendees for this event agree to be captured in photos and video which may be used for marketing assets in the future. ​Official prize rules listed here: https://www.postman.com/legal/contests-sweepstakes-official-rules/

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