Co-founder pitches, sourced and curated.

The Idea
Exploring new AI agent products. Early ideas include a life coach agent and a designer agent.

Who It's For
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What's Built
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Early Traction
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Their Background
Design engineer and employee #1 at a YC company that's now reached $180M+ in payments volume.

What They Need
A co-founder to jam on early-stage AI product ideas, particularly on the product and growth side.

The Idea
An idea in the AI agent world. Specific details not shared publicly.

Who It's For
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What's Built
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Early Traction
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Their Background
Product lead running the AI evals platform at a public tech company.

What They Need
A co-founder to build with on an idea in the AI agent space.

The Idea
Building at the intersection of marketplaces and applied AI. Specific idea not yet shared.

Who It's For
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What's Built
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Early Traction
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Their Background
Founding engineering lead at Uber Elevate. Currently a senior engineering manager and active angel investor.

What They Need
A co-founder to build at the intersection of marketplaces and applied AI.

The Idea
AI workflow automation for insurance brokerages.

Who It's For
Insurance brokerages looking to automate manual workflows with AI.

What's Built
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Early Traction
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Their Background
Co-founded Free2Grow, one of the largest AI voice companies in home services, which reached $2M+ ARR. Previously at TurnPoint, a $1.4B home services company. Based in the Bay Area.

What They Need
A co-founder to build and grow the product.

The Idea
Exploring vertical AI opportunities in underserved or antiquated markets: energy, restaurant operations, and financial services are top of mind. Also open to enterprise AI tools or developer infrastructure.

Who It's For
Established industries that haven't been touched by modern software yet.

What's Built
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Early Traction
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Their Background
Senior software engineer with experience building production systems at scale at Salesforce, American Express, and BMW. Based in NYC.

What They Need
A co-founder to explore and build with in vertical AI.

The Idea
An AI tool that maps what engineers actually do across GitHub, Jira, Slack, and other tools, turning scattered activity into a coherent picture of engineering work.

Who It's For
Engineering teams and managers who want better visibility into how work actually happens.

What's Built
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Early Traction
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Their Background
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What They Need
A co-founder to own the business side.

The Idea
An AI-driven accounting and bookkeeping automation platform with a clear wedge and distribution strategy already in place.

Who It's For
Businesses looking to automate accounting and bookkeeping workflows.

What's Built
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Early Traction
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Their Background
Previously at KPMG, then scaled two B2B SaaS companies from 0 to $10M+ ARR. Head of sales at Merge, helping scale to $20M+ ARR.

What They Need
A technical co-founder to build the product.

The Idea
Operating and scaling padel clubs. One location running in the Bay Area with strong unit economics, looking to take the model nationwide.

Who It's For
Padel players and sports/fitness communities as the sport continues to grow in the US.

What's Built
One location up and running in the Bay Area.

Early Traction
45% EBITDA margins on the first location.

Their Background
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What They Need
A co-founder to help scale the model nationwide.

The Idea
A fund that acquires and operates vertical SaaS companies.

Who It's For
Vertical SaaS businesses looking for a buyer or operator partner.

What's Built
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Early Traction
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Their Background
Really early at Venmo. Founded and sold a vertical SaaS and embedded finance company to Rocket Group.

What They Need
A co-founder to build and run the fund with.

The Idea
AI-native services for healthcare admin, targeting health systems, payers, and revenue cycle. Inspired by YC's Summer 2026 RFS for AI-native services.

Who It's For
Operators inside health systems, payers, and revenue cycle teams who deal with administrative overhead daily.

What's Built
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Early Traction
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Their Background
Ex-founder and AI product leader. Built and shipped AI systems at Atlassian, filed 6 patents, and drove $60M+ in cost savings.

What They Need
Operators who have lived the pain inside health systems, payers, or revenue cycle.