Podbit · Schwab Network
Ransomware groups have become so sophisticated they now offer customer service to their victims. Armani highlights this as a sign of how organized and dangerous the cybercrime ecosystem has become — and why AI-powered defense is urgent.
Where this was said
At 3:38 · chapter starts 2:55
After the geopolitical detour, the conversation turns to what's actually happening on the ground in AI healthcare — and Armani gets specific. He names Open Evidence, an AI platform with a subscription model that connects doctors globally for peer consultation, and Tri Discovery, which is applying AI to drug discovery. [1] — Sidney Armani "Open Evidence is building a subscription platform that lets doctors consult with peers across the globe, powered by AI. It's an early examp…" 02:55 Neither is publicly traded yet, which is part of his point: the most interesting AI healthcare plays are still private, and the opportunity for investors is in identifying them early. His framing for retail investors is practical — look at the companies you interact with as a patient, not just the infrastructure names everyone already knows. It's a subtle but useful reorientation of where to focus attention.
Open Evidence is building a subscription platform that lets doctors consult with peers across the globe, powered by AI. It's an early example of how AI shifts from buzzword to measurable clinical tool.
Open Evidence offers a subscription platform allowing doctors worldwide to consult with each other, powered by AI.
AI will dramatically improve medical diagnostics, but it won't replace doctors. The human elements of medicine — holding a patient's hand, delivering comfort, exercising clinical judgment — remain beyond what any algorithm can provide.
Directory listings are a powerful but underrated growth channel — but only if your product is genuinely interesting enough to earn the click. AI products have a natural advantage here because they're easy to package in a compelling, clickable way.
The fastest path to Twitter growth isn't volume — it's forming sharp opinions about how the platform works and sharing them immediately. People cluster around those who understand the rules and say so out loud.
More connectivity doesn't produce more independent thinking — it produces more homogeneity. Kierkegaard called this 'leveling': the internet's utopian promise of everyone thinking for themselves is backwards. The more interconnected people are, the stronger the phantom of public opinion, and the more of a liability it becomes to stand out.
Sam had no coding knowledge, so he used ChatGPT voice mode to generate his entire codebase and copy-pasted it into Notepad. A friend later introduced him to Cursor, and he never looked back.
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.
Sam's top advice: when prompting Cursor, tell it to architect code for 100,000 users from day one. The AI changes its approach, building scalable frameworks instead of brittle one-user code.
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%.
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