Do Things that Don't Scale
One of the most common types of advice we give at Y Combinator is to do things that don't scale. A lot of would-be founders believe that startups either take off or don't. You build something, make it available, and if you've made a better mousetrap, people beat a path to your door as promised.
Context & Ripple Effects
Paul Graham’s earlier guidance on finding startup ideas and call for unusually ambitious company ideas framed Y Combinator as a source of operating advice as well as seed funding. YC had also funded 84 companies in its Summer 2012 cycle, then said its Winter 2013 batch would be smaller.
The essay targets the assumption that a product succeeds automatically once released. That matters for YC founders entering a program whose Demo Day put 65 companies in front of roughly 500 investors: early customer traction becomes a more concrete signal than mere availability.
First-order effects
- YC founders are pushed to spend founder time on direct customer acquisition and service, rather than treating launch as the endpoint.
- Early users receive more hands-on attention from startups, producing faster feedback on whether the product solves a real problem.
Second-order effects
- At YC’s investor-facing Demo Days, startups able to show engaged early customers have a clearer traction narrative than peers relying on product claims alone.
- As YC funds and advises successive batches, hands-on early growth becomes a repeatable part of the accelerator’s operating playbook rather than an ad hoc founder choice.
Third-order effects
- If accelerators keep rewarding direct early traction, startup formation shifts toward testing demand before building scalable acquisition systems, raising the value of founder-led sales and customer research.
- The pattern favors companies that can turn intensive early support into repeatable product and distribution processes; the manual work is valuable only if it exposes what can later be standardized.
The trend: Startup acceleration is placing greater weight on founder-led customer learning as the bridge between an initial idea and scalable growth.