Podbit · The MongoDB Podcast
Predicting AI six months out is nearly impossible — but the long-term direction is clear. The best performers will be 2 to 5x more productive; everyone else faces a reskilling imperative. ROX's response is to stop planning monthly and start executing daily.
Where this was said
At 12:36 · chapter starts 11:25
When Anaiya asks how Ishan leads AI adoption internally, his answer is almost dismissive in the best way: at ROX, AI tool usage is second nature. There's no approval process, no controlled rollout — engineers use whatever tools help them move faster, including Cursor, Cognition, and Claude Code. [1] — Ishan Mukherjee "At ROX, there's no AI tool approval process — engineers use Cursor, Cognition, Claude Code, whatever helps. The whole company runs on ROX i…" 11:20 The distinction he draws is between engineers working on the platform and foundation layer (who think deeply before reaching for AI-generated code) versus those on the product and design side (who are exploring and experimenting constantly). But the most striking internal AI story is simpler: ROX runs its entire business on its own product. No Salesforce. No HubSpot. No external workflow tool. Just ROX, end to end — both as a CRM and as the team's general operating system.
ROX uses its own platform as its CRM, customer-facing toolchain, and general workflow system — running no other piece of software.
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%.
Game apps keep users engaged long enough for ads to pay off. Tool apps don't — so if you're building a utility, ads are almost always the wrong call and subscriptions are your only real lever.
Inside SEO Bot, a single button labelled 'Boost My Domain Rating' routes users directly to Listing Bot. That one interaction converts a user of one tool into a user of two — without any marketing cost.
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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