Podbit · The a16z Show
Most companies build task-specific agents. Kavak builds one agent per customer, with its own virtual machine, long-term memory, and a single goal: maximize that customer's lifetime value over years. The agent wakes up, works, sets an alarm, and comes back — it never forgets.
Where this was said
At 4:00 · chapter starts 1:53
Gabriel Vasquez welcomes Alejandro Maza Ayala as Kavak's head of AI and briefly surfaces his backstory: before Kavak, Alejandro co-founded Oppi Analytics in 2013, a machine learning company serving Fortune 500 clients in risk, logistics, and forecasting. He was building with ML before Transformers existed — a decade ahead of the mainstream. The arrival of Transformers and then the ChatGPT moment made it clear that an entirely new kind of company could be built. He joined Kavak and its CEO Carlos to build exactly that. Angela Strange then asks Alejandro to describe what Kavak actually does: a used-car marketplace that buys, refurbishes, sells, and finances cars — but which also had to build its own fintech, logistics layer, and vehicle-history infrastructure because none of it existed at scale in Latin America.
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Copy days of Discord chat history, paste it into ChatGPT, and ask it to list recurring pain points. The ones that come up most often are your best product bets.
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With AI coding tools like Cursor, Bhanu replicates an existing free tool for a new keyword in under 5 minutes. What used to be a multi-day build is now a lunch-break task.
Ahrefs, SiteGPT, Cal.com, PostHog, Datafast, Sibyl AI, Bento, Feather, Featurepace, Mintlify, Cloud Code, ChartMogul — Bhanu runs his entire business solo with these 12 tools.
PropGPT runs on React Native with TypeScript and Python for ML, Neon for the database, RevenueCat and Superwall for monetization. LLM costs are $20/month, data APIs $100/month, and after $10K in monthly marketing spend, margins sit at roughly 50%.
Automated food production cheaper than grocery shopping. Mining companies that own nothing but real estate. Kalanick believes these are near-certainties, not moonshots, and they dwarf anything digital AI has done to enterprise software.
Meraki couldn't beat Cisco on reputation in 2009. So they stopped trying to pitch and started shipping. Attend a webinar, get a free access point. Once mid-market IT teams experienced cloud-managed networking, no argument was needed — the product sold itself.
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