AI Tinkerers San Francisco: GTM Engineering Track
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๐ ๏ธ Engineering and GTM are Converging!
When anyone can ship a product in a few days, the product alone stops being the moat. What separates the tools that break out from the ones that fade is GTM engineering: the technical discipline of building distribution, growth, and discoverability directly into the architecture of the product itself.
AI Tinkerers is bringing the GTM Engineering track to San Francisco to convene the builders who understand that in a world of abundant software, the competitive advantage is how the thing you build gets noticed, adopted, and embedded into workflows before anyone elseโs does.
๐ Event Details
- Date: Monday, May 18th, 2026
- Time: 6:00pm - 9:00pm
- Location: San Francisco, CA (Address provided upon approval)
- Focus: What have you built that generated growth?
๐๏ธ Speakers
Kwindla Hultman Kramer - Co-founder & CEO, Daily
Kwindla builds real-time voice and AI infrastructure at Daily and created the open-source Pipecat framework. Heโll be demoing Gradient Bang, a massively multiplayer online game built from the ground up around LLMs that started as sample code and broke containment into an active community of players and contributors.
Pierson Marks - Founder & CEO, Jellypod
Pierson built Jellypod, an AI-native podcasting studio that transforms written content into professional audio. Heโll be demoing his system for launching, evaluating, and scaling Google Search Ads with agents using MCPs, Skills, and Claude Routines that let Jellypod semi-autonomously run paid marketing with positive ROAS.
Cyrus Nouroozi - Founder, Zenbase AI (YC S24)
Cyrus is a core contributor to Stanford NLPโs DSPy framework and co-founder of WOMBO.ai (100M+ downloads). Heโll be demoing YALC, an open-source GTM OS and CLI he built as an alternative to Clay for programmatically managing LinkedIn outreach, lead qualification, and multi-channel campaigns.
Alexander Liteplo - Founder, RentAHuman
Alexander built RentAHuman, a marketplace that lets AI agents discover, book, and manage human workers via API. Heโll be sharing lessons learned from growing to 900K rentable humans and the systems behind RentAHumanโs rapid scale.
๐ฅฝ Who Should Attend?
Entry is selective by design to maintain a high-signal environment. We require demonstrable proof of hands-on work with AI. This is a high-trust space for:
- Engineers building programmatic SEO engines and automated distribution.
- Founders shipping systems where the product and the GTM strategy are the same thing.
- Researchers optimizing agentic workflows for growth.
To apply, you must provide a description of a project you are currently building and a link to your technical work (GitHub/LinkedIn).
๐ฅฝ Speakers
AI Video Editing Pipeline
Joe Heitzeberg
Founder @ AI Tinkerers
Co-Founder & CEO, Daily
Kwindla Kramer
CEO @ Daily
Founder & CEO, Jellypod
Pierson Marks
Founder @ Jellypod
GTM in the Terminal โ Agent-driven personalized outbouโฆ
Cyrus Nouroozi
Founder @ The Synthesis Company
๐ค Sponsors
Venue Host
B Capital invests globally in extraordinary founders and businesses shaping the future through technology. With more than $10 billion in assets under management and dedicated stage-based funds, the firm focuses on early-stage to late-stage venture investments, primarily in the technology, healthcare and climate sectors.

Food & Drinks Sponsor
Attio is sponsoring food and drinks for the AI Tinkerers San Francisco GTM Engineering Track. Attio is an AI-native CRM platform built for startups and builders, helping teams unify customer data, automate workflows, and build custom solutions for modern go-to-market operations.

๐ธ Experience AI Tinkerers
Event photos
Interested in supporting the San Francisco builder ecosystem? View sponsorship opportunities.
AI Tinkerers San Francisco Stats
- Attendees: This elite community of 7,317 technical professionals features a powerful distribution of skills: 48% specialize in agentic systems and multi-agent orchestration, 42% in advanced model engineering and PyTorch, and 38% in high-performance AI infrastructure and MLOps. Distinguished by a high density of venture-backed founders and researchers from top-tier labs like Google DeepMind and Meta, members actively collaborate on cutting-edge Model Context Protocol implementations and verifiable AI governance.
- Companies Represented: Featuring tech giants like Google, Meta, Apple, and Amazon, alongside AI pioneers such as OpenAI, Google DeepMind, Anthropic, and xAI, and rising startups like Replicate, Wordware, Chroma, and Vercel, and more
- Demos: 487 demos were submitted and 172 were accepted and presented. The most compelling themes covered agent-native product UX, real-time multimodal voice/vision experiences, and protocol-driven integrations (especially MCP). Technical exploration has also emphasized reliability via tracing/evals and verification, grounding via advanced retrieval/context strategies, and security-focused agent infrastructure including safe tool access, privacy controls, and human-in-the-loop patterns.
- Testimonials:



