Hyperspell

Hyperspell targets developers building AI agents through a developer-first go-to-market strategy, leveraging API distribution as their primary channel. ​​‌‌‌‌‌‌‌​‌‌​​‌​​​​​​‌‌​‌‌‌​​​‌‌The founders, with 15+ years of machine learning experience, positioned the product directly at engineers who integrate agent infrastructure into applications. Their approach centers on making memory accessible through familiar developer tools—Slack, Gmail, Notion, Drive connectors—reducing friction for early adopters experimenting with AI agents. The founding insight validated their direction: Conor and Manu discovered memory limitations firsthand while building their own workplace agent, suggesting they understood genuine developer pain points rather than theoretical problems. However, specific distribution details about their early customer acquisition channels, partnership strategies, or whether they faced friction reaching their target audience remain unclear from available information. Their YC F25 participation likely provided network access and credibility signals that helped establish initial traction, though concrete metrics on how this translated to customer acquisition aren't documented. The infrastructure-focused positioning suggests they're betting on becoming embedded in developer workflows rather than pursuing direct enterprise sales.