Nico
Showing 1–3 of 3 transcripts.
- Sequoia Capital22 min
Continual Learning: How AI Agents Get Better With Every Use | Arjun Karanam, Trajectory
Arjun Karanam, Ronak, Gabe, Harrison, Nico, Harvey
Trajectory, co-founded by Arjun and Ronak, addresses the lack of accumulated experience in AI by building a platform that enables models to continuously learn from the 100 trillion daily tokens generated by real-world agent interactions. The company utilizes a dual-learning architecture combining differential privacy with reinforcement learning on user-corrected traces, allowing organizations to transition from static models to systems that compound capability through automated post-training and flexible harness optimization. By abstracting complex training parameters into a 15-minute workflow, Trajectory empowers enterprises to retain ownership of their specialized models while refining agent performance directly against production traffic.
- Y Combinator39 min
Startup Advice: AI GTM, Pivoting & How To Hire
Founders entering legacy industries must select a go-to-market model—typically software-first, full-stack, or acquisition-based—while rigorously tracking automation trajectories to secure software valuations from investors. Strategic execution requires prioritizing mid-market segments for faster feedback loops and securing empowered early adopters, as AI sales tools and high-level marketing hires only succeed after founders have personally mastered their own product-market fit. Ultimately, successful scaling depends on treating hiring as a failure-prevention necessity, leveraging open-source components to build enterprise trust, and maintaining the conviction to pivot when customer conviction indicates a "great" idea is absent.
- Y Combinator42 min
Vertical AI Agents Could Be 10X Bigger Than SaaS
Gary, Jared Harge, Diana, Mark Mandelbaum, Aaron Cannon, Mike, Brett Taylor, Parker Conrad, Matt McGinnis, Salient, VAPI, Rippling, Speedy Brand, OpenAI, Claude, Melanie Warrick, Nico, A Priori, Capital.ai, PowerHelp, Giga ML, Zepto, Mementic, Rainforest QA, Triplebyte, Outset, Vector Shift, Mark Benioff, Paul Graham, Travis, Jake Heller, Flo Cravello, Tia, Hashi Roginio, Mark Mirchandani, Francesc Campoy Flores
Jared Harge projects that vertical AI agents will trigger a $300 billion+ market surge by displacing human labor in specialized enterprise functions, mirroring the historical success of B2B SaaS where general-purpose incumbents cannot master niche domain complexities. While competitors like Mark Mandelbaum note exceptions such as Rippling's horizontal platform strategy, startups are advised to target high-value, repetitive workflows—from automated recruiting to debt collection—rather than competing in obvious consumer applications where incumbents like Google retain dominance. This shift from basic software wrappers to full-stack agents is expected to expand organizational leadership span and create unicorns ten times larger than previous software predecessors by integrating complex domain knowledge directly into autonomous decision-making tools.