Deckmatch research of ~5,000 YC-backed startups finds YC commonly accepts startups that are building similar or nearly identical products to previous YC grads
Julie Bort / TechCrunch : X: @garrytan , @leofjord , @eagleonamound , and @ayushswrites LinkedIn: Julie Bort and Léopold Gasteen X: Garry Tan / @garrytan : More choice is good, people building is good, if you don't like it don't use it Leopold / @leofjord : A glimpse of what product level data unlocks. Pretty cool to see our work featured here @leedoe_h Arne Tonning / @eagleonamound : Interesting article by @TechCrunch, solid work by @deckmatch and @AlphaLens_ai 💪 Ayush S / @ayushswrites : @BryanOnel86 there seems to be an increase in this phenomenon inside YC. we had a YC company use our product for 6+ months without disclosing and then launch their own copycat down to messaging and landing page language. LinkedIn: Julie Bort : A deep dive on YCs nearly 5K companies reveals a secret to get in: copying another successful project. YC startups don't have to be unique. … Léopold Gasteen : Stoked that Julie Bort and TechCrunch explored our Y Combinator portfolio product analysis, made possible with AlphaLens AI. …
Context & Ripple Effects
The analysis adds product-level evidence to a period of scrutiny over YC’s direction under Garry Tan, following coverage of Tan’s effort to reshape the accelerator. It also sits alongside YC’s visibly AI-heavy S24 Demo Day, where fast-moving categories can produce closely adjacent company pitches.
Rather than treating overlap as an isolated founder complaint, Deckmatch’s review of roughly 5,000 YC-backed companies makes portfolio similarity a measurable issue for the accelerator, its founders, and prospective investors.
First-order effects
- YC and its founders face clearer scrutiny over how the accelerator distinguishes companies pursuing similar products; founders in overlapping categories must more directly establish their differentiation.
- Investors and customers assessing YC startups gain a portfolio-level signal that product similarity may be common, making company-specific execution and distribution evidence more important.
Second-order effects
- More visible overlap can intensify competition among YC companies for the same early customers, hires, and follow-on capital, particularly where Demo Day presentations cluster around adjacent use cases.
- The finding may push accelerators and founders to articulate category boundaries and differentiation earlier, rather than relying on cohort affiliation as a shorthand for novelty.
Third-order effects
- If repeated across accelerator portfolios, this points to startup formation shifting from novelty-led selection toward a contest over execution among many teams addressing the same validated demand.
- The pattern is consistent with a synthetic supply paradox: lower barriers to building can expand the number of credible product variants faster than buyers can evaluate them.
The trend: Accelerators are increasingly becoming venues for parallel bets on the same startup categories, with differentiation moving from the initial idea to execution, distribution, and customer proof.