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3344

Michael Zhou

Logo
Michael Zhou
CEO & Co-Founder of
Codag (2026)
About

Michael Zhou is the solo Founder of Codag, a Y Combinator S26-backed AI infrastructure startup building drop-in log compression for AI agents, enabling faster and cheaper agent debugging.

Before founding

Michael holds a BSc in Computer Science and Neuroscience from the University of Toronto and turned down seven-figure software engineering offers to pursue entrepreneurship full-time.

Founder Insights

Michael brings deep infrastructure and platform engineering expertise, having bootstrapped Codag through five pivots and zero bank balance before earning his YC acceptance, all without telling his mom.

Experience

Prior to founding Codag, Michael worked as a Software Engineer at Okta and Shopify, where he built infrastructure and web platform tooling that now underpins his product vision.

Scale & Impact

Accepted into Y Combinator's Summer 2026 batch, Codag addresses a critical gap in the agentic AI era by compressing massive logs down to only the lines that matter, dramatically reducing token costs for AI teams.

3344

Michael Zhou

Codag
Founder
Logo
Michael Zhou

Company(s)

Codag

Industry

SaaS

Year Founded

2026

Stage/Funding

Seed

Company Location

us

Connect

About

Michael Zhou is the solo Founder of Codag, a Y Combinator S26-backed AI infrastructure startup building drop-in log compression for AI agents, enabling faster and cheaper agent debugging.

Before founding

Michael holds a BSc in Computer Science and Neuroscience from the University of Toronto and turned down seven-figure software engineering offers to pursue entrepreneurship full-time.

Founder Insights

Michael brings deep infrastructure and platform engineering expertise, having bootstrapped Codag through five pivots and zero bank balance before earning his YC acceptance, all without telling his mom.

Experience

Prior to founding Codag, Michael worked as a Software Engineer at Okta and Shopify, where he built infrastructure and web platform tooling that now underpins his product vision.

Scale & Impact

Accepted into Y Combinator's Summer 2026 batch, Codag addresses a critical gap in the agentic AI era by compressing massive logs down to only the lines that matter, dramatically reducing token costs for AI teams.

About

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