MrQ serves over a million registered players with a backend engineering team of just 8 to 10 people. The entire company's engineering org — including a 3-person game studio, 4 frontend devs, 1 DevOps engineer, and 2 QAs — deliberately stayed lean to preserve culture.
Where this was said
At 42:35 · chapter starts 36:40
Shane asks for the numbers, and Iulian delivers them plainly. Over a million registered players, with tens of thousands active concurrently. Seven hundred games on the platform from more than forty providers. [1] — Iulian Dafinoiu "700 games on platform: MrQ hosts 700 games from over 40 third-party providers, constantly curating the library to ensure quality across all…" 36:42 But it wasn't always this way. When MrQ launched in 2018, the team was naively confident they could attract players with a smaller, curated selection of high-quality games from a handful of preferred providers. Players disagreed loudly — asking immediately for games that weren't there. MrQ responded by expanding the library aggressively, but they haven't simply accumulated games passively: the team actively culls the catalog, regularly testing every game across all devices and pulling anything that doesn't perform well. It's a quality-over-quantity philosophy that takes real operational effort at 700 titles and counting.
MrQ hosts 700 games from over 40 third-party providers, constantly curating the library to ensure quality across all devices.
MrQ integrates with over 40 third-party game providers to meet player demand for familiar titles, a lesson learned after launching with too small a catalog.
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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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.
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