93 startups in this batch
This cohort landed during the Agentic Shift, a pivotal moment when the initial novelty of LLMs matured into specialized vertical applications and heavy infrastructure. Founders faced a high-interest-rate environment that demanded immediate ROI, forcing a move away from generic SaaS toward tools that replaced entire workflows rather than just managing them.
The batch proved that workflow-native AI—like ArchiLabs for architects or Alex for iOS devs—could command high premiums by eliminating context switching. They validated a massive appetite for high-performance data infra and automated compliance as companies struggled to manage the data explosion and regulatory hurdles of the early AI era.
Many startups from this era struggled when they remained "wrappers" that didn't own the underlying data or a unique distribution channel. As foundational models improved, thin UI layers for bookkeeping or coding were quickly commoditized by platform incumbents. The lesson: defensibility in 2024 required deep integration into the "unsexy" physical or highly regulated layers of an industry.
In 2026, the opportunity lies in building autonomous agents for "hard" industries like satellite logistics or construction compliance. While YC F24 built the "copilots" that assisted professionals, today's solo builder can use multi-modal models to ship "autopilots" that handle the entire loop from data ingestion to final filing without human oversight.
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