This product analyzes 793 YC startups and 1,625 founder bios from the last 5 batches. It provides 27 interactive charts showing industry trends, founder patterns, and partner selection criteria.
What YC Is Really Betting On? is a comprehensive data analysis platform that examines 793 YC startups and 1,625 founder bios from the last five batches (Winter 2025 to Winter 2026). It is designed for entrepreneurs, investors, and startup enthusiasts seeking to understand the underlying patterns in Y Combinator's portfolio. The core value lies in transforming raw data into actionable insights through 27 interactive charts covering industry trends, founder demographics, and partner selection criteria. By surfacing statistical relationships and competitive dynamics, this YC startup trends analysis tool provides a data-driven view of where YC is placing its bets, helping users make informed decisions.
For founders and investors, Y Combinator's decision-making process often seems opaque and unpredictable. This product addresses that pain point by quantifying the preferences and biases that shape YC's investments. It reveals, for example, that 89% of funded companies are AI-related, that 66% are B2B, and that 68% are two-person teams. Such granular statistics demystify the accelerator's selection criteria. Moreover, the analysis uncovers non-obvious correlations, such as the negative relationship between AI and fintech (r=-0.18) and the fact that San Francisco-based companies are less likely to be hiring. By making these patterns explicit, the tool reduces uncertainty for those preparing YC applications or trying to predict future trends.
The Overview section provides a bird's-eye view of the YC ecosystem across batches. Users can explore interactive charts showing companies per batch, the AI versus non-AI split, and the evolution of B2B versus consumer startups. For instance, the data shows AI share rising from 83.8% in Winter 2025 to 89.6% in Winter 2026, while deep tech companies have surged from 22.9% to 29.3% over the same period. This feature allows quick comprehension of macro shifts. Additionally, team size trends reveal that duo teams are the sweet spot for hiring (32%), whereas solo founders have the lowest FAANG and PhD rates. Such insights help users benchmark their own startup against YC norms and identify successful archetypes.
A standout feature is the AI Depth Classification, which categorizes AI companies into four groups: likely wrappers (15.2%), applied AI (51.6%), AI infrastructure (11.4%), and deep tech (21.8%). The analysis provides detailed profiles per category, including founder background percentages. For example, deep tech companies have 19% PhD founders versus 0% for wrappers—a 19-times difference. Interactive charts track the wrapper percentage versus deep tech trend across batches, showing that wrappers are declining (17.1% to 12.9%) while deep tech is surging. This section debunks the notion that all YC AI companies are thin LLM wrappers, highlighting YC's increasing appetite for proprietary technology and sophisticated engineering.
Publisher
A
admin
Launch Date2026-02-24
Platformweb
Pricingfree