The Infra Pod

Tim (Essence VC) and Ian (Keycard) interviewed Louis Vichy, co-founder of OpenRouter, about why he built OpenRouter to de-risk AI app development (end-user pays LLM costs), how it scaled to processing ~5–6T tokens/week, and what OpenRouter is today: a reliable inference routing/control layer across ~60 providers with consolidated billing and reduced vendor lock-in. Louis explains why teams adopt OpenRouter (constant new model integrations, pricing/billing, differing API shapes), how routing focuses on practical heuristics (fallbacks, cost, throughput, latency), and how reliability is achieved via provider failover (e.g., alternate endpoints like Vertex/Bedrock). They discuss agent trends (longer-running agents, small models for routing/classification with specialized downstream models), possible memory support, developer conveniences (e.g., PDF parsing), and enterprise features (security/compliance guardrails, presets). The episode ends with links to OpenRouter chat/rankings pages and hiring for high-agency TypeScript-focused engineers.00:00 Welcome & Meet Louis (OpenRouter Co‑Founder)00:27 Origin Story: De‑Risking AI App Costs (Hackathon Lessons)01:35 First Big Feature: End‑User Pays for Tokens (Sign in with OpenRouter)02:34 From Routing to Rankings: Scaling to Trillions of Tokens03:42 What OpenRouter Is Today: Reliable Inference Across 60+ Providers05:55 Why Teams Adopt It: Avoiding Model API Churn, Billing, and Vendor Lock‑In08:37 Winning Strategy: Don’t Build a “Magic Router”—Optimize Cost/Latency/Throughput18:58 From Chat to RAG + Memory: Building Persistent Agent Context20:37 Developer Bells & Whistles: Auto PDF Parsing and More21:11 Enterprise Readiness: Compliance, Security Guardrails & Model Presets22:22 Customer Growth at Warp Speed in the AI Era23:03 Spicy Future!

Catherine Jue, co-founder and CEO of Kernel, builds browser infrastructure for AI agents using unikernels and microVMs. She explains how unikernels enable 20ms startup and snapshot/restore for ultra-fast browser automation. The conversation covers long-lived browser state, optimizing for bursty web workloads, moving from scripted automation to agentic browsing, and how browsers bridge the transition to agent-native software.

Tejas Bhakta, CEO and co-founder of Morph, builds ultra-fast file-edit APIs and subagent infra for coding agents. He explains how Morph hits 10,000 tokens/sec with speculative decoding. The chat covers fast apply vs search-and-replace, subagent architecture and SDKs, code-specific semantic search, and a vision for autonomous software that updates itself.

Dexter Horthy, CEO of Human Layer and founder building AI coding agents for senior engineers. He discusses the research-plan-implement workflow that helps engineers ship with AI. They cover making senior engineers adopt agent tooling, platformizing human-in-the-loop agents, the recent vibe shift in agent reliability, and how Ralph-style spec-driven loops change engineering workflows.

In this episode of the Infra Pod, hosts Ian Livingston (Keycard) and Tim Chen (Essence VC) interviewed the Field CTO Akshay Shah of Antithesis, diving deep into the world of distributed systems, reliability, and the future of software testing. The conversation covers the challenges of building bug-free distributed systems, the story behind Antithesis, lessons from major outages, and the evolving landscape of infrastructure and AI-driven operations.Timeline with Timestamps:00:00 – Introduction & guest background02:00 – What Antithesis does and why it matters06:00 – Real-world impact: Testing distributed systems (etcd, Kubernetes)09:00 – Major outages & lessons learned (AWS, Knight Capital)12:00 – The origins and philosophy behind Antithesis16:00 – The future of reliability, testing, and AI in infrastructure28:00 – Closing thoughts & where to learn moreLinks:Learn more about Antithesis: https://antithesis.comAntithesis on YouTube: @AntithesisHQ

Join Tim from Essence VC and Ian Livingston from Keycard for the year-end 2025 recap of Infra Pod! In this special episode, Tim and Ian reflect on their favorite moments, hottest takes, and biggest lessons from a year of rapid change in infrastructure, AI, and agent technology.They revisit standout episodes—like deep dives into browser automation, the evolving role of memory in LLMs, and the disruptive potential of agent sandboxes. The hosts discuss how companies are pivoting in the AI era, the importance of adapting quickly, and the surprising ways hardware choices are shaping the future of compute.Looking ahead, Tim and Ian share bold predictions for 2026, debate the next big abstractions in infrastructure, and invite listeners to share their own hot takes and favorite episodes. Whether you’re an engineer, founder, or just passionate about the future of tech, this episode is packed with insights, energy, and a look at what’s next for the Infra Pod community.

Sammy Sdu, CEO of Eventual and creator of the Daft platform, dives into the dilemmas of processing unstructured and multimodal data. He shares his journey from self-driving car research to founding Eventual, detailing his frustrations with Spark. Sammy discusses how to maintain data integrity in complex workflows and explores the impact of LLMs and agents on data pipelines. With insights into real-world applications, he highlights the shift toward accessible multimodal tools and the future of data engineering.

Anurag Goal, CEO of Render and former early Stripe engineer, shares insights on building a modern cloud platform. He discusses his transition from Stripe, driven by frustrations with low-level infra work. Anurag emphasizes the need for high-level developer tools and the mission to simplify cloud complexity. He explains concepts like progressive disclosure and how Render fosters product taste while maintaining flexibility. The conversation also explores how agents and LLMs are transforming development practices, signaling a shift in the software lifecycle.

Welcome to Episode 53 of The Infra Pod! Hosts Tim from Essence and Ian from Keycard are joined by special guest Alex Eagle, CEO and co-founder of Aspect Build. In this episode, Alex shares his journey from working on Angular at Google to founding a company around Bazel, Google's open-source build tool. The conversation dives deep into the challenges and motivations behind building developer infrastructure, the evolution of CI/CD systems, and the unique strengths and hurdles of adopting Bazel in organizations of all sizes.The trio explores the future of software development, the impact of AI on coding and build systems, and the ongoing debate between monorepos and polyrepos. Alex also discusses Aspect's mission to make Bazel more accessible and the broader implications for developer productivity in an agentic, AI-driven world. Whether you're a platform engineer, open-source enthusiast, or just curious about the future of build tools, this episode is packed with insights and spicy predictions for the future of developer infrastructure.00:00 – Introduction & Guest BackgroundTim and Ian introduce Alex Eagle, who shares his journey from Google to founding Aspect Build.04:20 – Why Bazel?Alex explains the motivation behind focusing on Bazel, its challenges, and the analogy to municipal infrastructure.10:55 – Bazel in the Real WorldDiscussion on Bazel’s adoption, who should use it, and the hurdles organizations face.21:06 – The Future: AI, Agents, and Build SystemsExploring how AI and agentic coding are changing developer infrastructure and Bazel’s evolving role.43:01 – Closing & TakeawaysFinal thoughts, how to learn more about Aspect and Bazel, and episode wrap-up.

In this episode of the Infra Pod, hosts Tim (Essence VC) and Ian (CEO of Keycard) sat down with Lucas Thelosen, founder of Gravity and former head of product for data and AI at Google. Lucas shares his journey from leading teams at Google and Looker to launching Gravity, a company focused on bridging the gap between business users and data through generative AI.The conversation dives deep into the challenges of data analysis in modern organizations, the evolution of AI-powered tools like Orion, and how generative AI is transforming the way companies leverage their data. Lucas discusses the importance of semantic layers, onboarding AI agents, and the future of data teams in a world where AI can automate complex analysis and reporting.