We rebuilt Aditya's LinkedIn from a personal feed into a distribution engine. Same person, same 60 minutes a day of his time — a system doing the work behind him.
One post almost every day, across five defined content pillars. Every draft written to a single named reader, run through an anti-AI voice pass so it sounds like Aditya, paired with an editorial-grade infographic, and approved on a weekly cadence. A dedicated operator runs the front of the profile: engagement, connections, and DMs.
Every post belongs to one of five pillars with its own rules, cadence, and best-day slot. No random posting.
His thinking patterns, phrases, and set-list stories live in a voice file. The system writes as him, then strips every AI tell.
Inc42 DataLabs-standard visuals built from real logos and real founder photos. No stock, no clip-art, no hallucinated faces.
Engagement warm-ups, targeted connections, and DM handling around every post, so reach converts into conversations.
Every post from Jan 19 to Apr 18 was pulled, mapped to a content category, and ranked by impressions. The audit told us exactly which formats earned reach, which earned replies, and which quietly died in the feed.
Ecosystem and sector data reads made up 60% of his posts and the majority of total reach. Big brand narratives printed hardest: Anupam Mittal's portfolio hit 150K, DeepTech founders' second acts 139K, the EV leaderboard 119K.
First-person portfolio stories (our KTF Text pillar) averaged 43.7K impressions and the highest comments-per-post in the mix. The co-founder-separation story drew 85 comments — the most of any post in three months.
A prescriptive "post-funding mistakes" listicle with no story pulled just 1,792 impressions — the worst of the window. The algorithm does not reward advice content that reads like a motivational poster.
The audit split the job in two: data reads for scroll-stopping reach, founder stories for emotional depth and comments. That split became the pillar weighting in his weekly cadence.
Sector and ecosystem data reads — funding maps, leaderboards, IPO waves. The reach engine.
Case studies of Indian founders and companies, each ending in one strategic lesson.
Short, contrarian, one-insight posts in the Aviral Bhatnagar tweet-with-air format.
Knowledge to Founders — first-person advisory stories and frameworks from 130+ investments.
The same founder knowledge, delivered as a single saveable infographic.
Aditya's whole audience is abstract until you name one reader. We built him: Arjun — the first-generation founder Aditya himself once was. Every line has to pass one test: would Arjun screenshot this and send it to his co-founder at 11pm?
A single sponsored post in May reached 84,844 people. LinkedIn's own analytics show exactly who read it — and it was Arjun's cohort, at scale.
Source: LinkedIn Content Analytics, single sponsored post, May 13–19, 2026.
Before, the feed was one note played loud — data lists, over and over. Good for reach, thin on trust, and blind to who was actually reading. The rebalance kept the reach engine and added the formats that build belief and pull the right people in.
Reach was never the point. The point was the right reach — founders, decision-makers, the people Aditya set out to serve — showing up in his feed, his DMs, and his consulting pipeline. That is the difference between a profile that posts and a profile that compounds.