Key Startup Metrics (YC Startup Library)
YC's canonical answer to which numbers matter and how to use them in decisions.
Open ycombinator.com →Track the handful that would break your business if they moved the wrong way: revenue or MRR, retention and churn cohorts, CAC, and runway, anchored by one North Star metric. AI helps twice: it computes these from raw exports (a cohort table from a Stripe CSV in one prompt) and, inside tools like Amplitude, it now watches metrics continuously and flags anomalies. Founders tracking 30 metrics track none of them well.
A quick orientation. The real value is below: resources worth your time, from people who've actually done it.
YC's canonical answer to which numbers matter and how to use them in decisions.
Open ycombinator.com →The B2B metrics lecture: MRR, churn, and what investors will actually probe.
Watch on YouTube youtube.com →Growth, unit economics, and retention for consumer products, from the source.
Watch on YouTube youtube.com →The classic on picking one KPI and refusing vanity metrics.
Watch on YouTube youtube.com →The short written version to revisit each planning cycle.
Open ycombinator.com →Fresh retention benchmarks including the AI-era 'smiling curve' phenomenon.
Open a16z.com →Still the best cohort-analysis explainer written for first-time SaaS founders.
Open medium.com →Shows AI building your cohort table when spreadsheets intimidate you.
Open saas.wtf →A worked churn analysis with ChatGPT you can replicate on your own export.
Open saas.wtf →Warns how AI-driven signup waves distort early retention data.
Open userpilot.com →An India-based product studio's metric list mapped to SaaS vs e-commerce.
Open f22labs.com →Jargon-free cohort mechanics aimed at founders, not analysts.
Open blog.mean.ceo →Argues for fewer numbers, better defined, matched to your stage.
Open blog.mean.ceo →The payments provider's clean explainer, handy since your revenue data lives there.
Open stripe.com →Turns cohort tables into concrete churn-reduction actions.
Open baremetrics.com →A practitioner's guide to letting AI agents monitor your metrics for you.
Open adasight.com →What to measure and build at each stage so you never over-invest early.
Open definite.app →How to set up metrics infrastructure that AI tools can actually reason over.
Open tasman.ai →