Rishwajeet Singh

Rishwajeet Singh is a content strategist who has spent his career inside the Indian creator economy — building the strategy, scripts, and production systems behind some of its biggest shows. He founded Machine House Media, the AI-native content studio that builds and runs content systems for creators including Ankur Warikoo, Masoom Minawala, Astro Arun Pandit, The KariGhars, Freedom With AI, Avinash Mada, Scaler, Rocket Health, and Indian Silicon Valley.

The track record across those clients: 100M+ views driven, 3× Apple Best Podcast, 15M+ audience managed. He studied entrepreneurship and media at Ashoka University (magna cum laude) and ran his first YouTube show while still enrolled. Machine House Media Private Limited was incorporated on 11 February 2026 (CIN U70200MP2026PTC082003) — the company formalizes a practice years in the making.

Out of Ashoka, Rishwajeet joined wariCrew — Ankur Warikoo's content operation — and became Chief of Staff and Content Operations Manager: a 13-person team, seven partners, and the full pipeline behind an ecosystem that grew from 9M to 13M followers in his two years there. He launched Money Matters end to end — 58 episodes, episodes consistently hitting 200K–500K views, 20M+ views during his run.

Then the show's biggest bottleneck — thousands of guest applications reviewed by hand every week — needed fixing. He built an AI pipeline in four days that cut the work from days to under 60 minutes. Ankur looked at what he'd made and said: "This work is a great fit for you. Your current job is not. You should quit."

So he did. He moved to Bengaluru, spent months going deep on AI, and started building for other creators — Masoom Minawala's show from scratch (70K→140K subscribers, Apple India's Best Podcast of 2025), Indian Silicon Valley, The KariGhars, Freedom With AI, Astro Arun Pandit. In February 2026 that practice became Machine House Media.

The thesis Rishwajeet took from his years with Warikoo — and the one Machine House is built on — is that content performance is measurable, codeable, and predictable. Episodes get coded across every dimension that matters; models trained on the client's actual performance data forecast what will work before a frame is shot. AI handles the production grind. He handles taste and direction.

On where the line sits, from his own writing: "Taste is the rarest thing in the room now that everything else is free" — AI can render fifty options in a minute; knowing which one to bet on is the job. And on the work itself: "You can't scale taste by explaining it. You have to make the thing first."

He still sits with a title and a thumbnail longer than some teams spend on an entire edit. That is deliberate. A real three-way title test on one video — same content, three titles — swung watch-time share by seven points; the winning call was a single word. Months of effort routinely come down to packaging decisions that take an afternoon to change, and that is where his attention goes.