E49: AI Agents, Unlocking Human Potential, and Not Giving Up with Hyperspell
Fri Feb 06 2026
Conor Brennan-Burke and Manu Ebert are the co-founders of Hyperspell. Hyperspell provides a memory and context layer to AI agents is one of our portfolio companies at Seaplane Ventures. I (Joe here) was trying to explain to some friends at a BBQ recently Hyperspell what did and learned pretty quickly that most people aren’t familiar yet with AI agents. Given that and the sudden explosion in interest in AI agents, I thought it would be great for listeners to have Conor and Manu to come on to talk about AI agents, the evolution of AI, context, Y Combinator, and how Manu once bought a .AI domain name via fax machine.
From chatbots to true agents – Conor breaks down where tools like ChatGPT stop and AI agents begin, and why the key shift is agents taking actions autonomously across your tools, not just answering questions.
Why context is the real bottleneck – Manu and Conor share how building their own “chief of staff” agent led them to Hyperspell, a memory and context layer that plugs into tools like Slack, Gmail, and Notion so agents can actually understand your customers, org chart, and tech stack.
The three bottlenecks to agent adoption – Manu explains why verification, capability, and context each limit what agents can do today, and why decoupling these layers (rather than relying on a single big lab) gives companies more flexibility and avoids platform lock-in.
Why workers aren’t using AI (yet) – Conor reacts to studies showing most desk workers rarely touch AI, and argues that fear, bad framing (“AI will replace you”), and lack of personalized context are holding back adoption despite models already outperforming humans on many benchmarks.
AI as global leapfrog, not just US office automation – Manu highlights under-discussed upside: primary care in Africa, McKinsey-grade advice for small businesses, tailored guidance for farmers, and always-on tutors that could reshape opportunity in developing markets.
Let machines be the cogs, not people – The pair paint a future where AI agents handle status updates, follow-ups, and information shuffling inside big orgs, freeing humans to do creative, high-leverage work instead of feeling like dehumanized “TPS report” machines.
Building SuperMe and all-star AI teams – Conor shares a favorite customer use case: cloning experts (or even yourself) as agents using your own docs, email, and notes, so a solo founder can effectively “hire” an AI team of world-class operators and advisors.
YC, rejection, and founder stubbornness – Conor and Manu talk about finally getting into Y Combinator after nine applications between them, why persistence is a superpower for founders, and how YC has shaped Hyperspell’s trajectory.
Investing in Startups is hosted by Joe Magyer and produced by Seaplane Ventures.
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Conor Brennan-Burke and Manu Ebert are the co-founders of Hyperspell. Hyperspell provides a memory and context layer to AI agents is one of our portfolio companies at Seaplane Ventures. I (Joe here) was trying to explain to some friends at a BBQ recently Hyperspell what did and learned pretty quickly that most people aren’t familiar yet with AI agents. Given that and the sudden explosion in interest in AI agents, I thought it would be great for listeners to have Conor and Manu to come on to talk about AI agents, the evolution of AI, context, Y Combinator, and how Manu once bought a .AI domain name via fax machine. From chatbots to true agents – Conor breaks down where tools like ChatGPT stop and AI agents begin, and why the key shift is agents taking actions autonomously across your tools, not just answering questions. Why context is the real bottleneck – Manu and Conor share how building their own “chief of staff” agent led them to Hyperspell, a memory and context layer that plugs into tools like Slack, Gmail, and Notion so agents can actually understand your customers, org chart, and tech stack. The three bottlenecks to agent adoption – Manu explains why verification, capability, and context each limit what agents can do today, and why decoupling these layers (rather than relying on a single big lab) gives companies more flexibility and avoids platform lock-in. Why workers aren’t using AI (yet) – Conor reacts to studies showing most desk workers rarely touch AI, and argues that fear, bad framing (“AI will replace you”), and lack of personalized context are holding back adoption despite models already outperforming humans on many benchmarks. AI as global leapfrog, not just US office automation – Manu highlights under-discussed upside: primary care in Africa, McKinsey-grade advice for small businesses, tailored guidance for farmers, and always-on tutors that could reshape opportunity in developing markets. Let machines be the cogs, not people – The pair paint a future where AI agents handle status updates, follow-ups, and information shuffling inside big orgs, freeing humans to do creative, high-leverage work instead of feeling like dehumanized “TPS report” machines. Building SuperMe and all-star AI teams – Conor shares a favorite customer use case: cloning experts (or even yourself) as agents using your own docs, email, and notes, so a solo founder can effectively “hire” an AI team of world-class operators and advisors. YC, rejection, and founder stubbornness – Conor and Manu talk about finally getting into Y Combinator after nine applications between them, why persistence is a superpower for founders, and how YC has shaped Hyperspell’s trajectory. Investing in Startups is hosted by Joe Magyer and produced by Seaplane Ventures.