🎧 Episode Summary
In this episode, Gotham Rao—serial founder and now Co-Founder of Neubird (https://neubird.ai/)—shares how he built and sold companies to Pure Storage, Dell, and Citrix before co-founding Neubird. With $40M+ in VC backing, Neubird is reimagining how enterprises troubleshoot production issues using a telemetry access layer powered by AI.
We dive deep into Gotham’s founder mindset, the role of gut instinct, why design partners matter more than early traction, and how LLMs can surgically pinpoint relevant data in noisy enterprise systems. This episode is packed with insights for both early-stage founders and seasoned builders.
đź’ˇ Top 5 Takeaways
Trust your gut: Gotham only builds what he feels viscerally aligned with—if it doesn’t feel right inside, he walks away.
Work backward from the outcome: Once he commits to a goal, he doesn’t let go, no matter how non-linear the path.
Design partners > customers: Early users should be allies, not critics. Founders need customers who will work with them through the chaos.
Neubird’s edge: By focusing on surgical data extraction from noisy telemetry systems, Neubird makes LLMs useful in high-stakes enterprise environments.
The future of AI: Agent-to-agent collaboration and diverse model specializations (A2A) will redefine how enterprises operate over the next decade.