LinkedIn case study
Deepanshu Udhwani LinkedIn case study: 0 to 300K+ average impressions
Before we wrote for anyone else, we tested the method on our own co-founder's account. It went from zero to more than 300,000 average impressions per post.
By Deepanshu UdhwaniUpdated 3 min read
- avg impressions per post
- 0 to 300K+
- top post impressions
- 521,800
- second-best post
- 473,643
- third-best post
- 377,854
The short answer
Deepanshu Udhwani, co-founder of Postlit Media, built his LinkedIn from 0 to 300K+ average impressions per post. His four strongest posts reached 521,800, 473,643, 377,854 and 362,920 impressions. The approach was the same one Postlit uses for clients: clear positioning, a few consistent topics, human-written posts and steady engagement.
The starting point
Deepanshu came to LinkedIn as an engineer and builder, not as a writer. His background gave him real material: he was selected as one of 29 open-source interns worldwide at Alibaba Cloud, worked as a backend engineer at MakeMyTrip on systems serving 100K+ concurrent users (where he was named "Super Starter of the Year"), and co-built 30DaysCoding from zero to 80,000+ students across 15 countries with no funding.
What he did not have was an audience on LinkedIn. The account started from zero. That is the most common situation we see with founders and executives: years of genuine experience and no visible record of it where buyers, candidates and partners actually look.
The goal
The goal was to prove, on an account we controlled, that a founder with real experience could build large, consistent reach on LinkedIn without engagement pods, automation or bought attention. If the method could not work for one of our own founders, we had no business selling it.
What we did
We used the same process we now run for clients. We do not publish a post-by-post log of this account, so the summary below covers the method rather than specific tactics.
- Positioning first. We defined what Deepanshu should be known for, drawing on his engineering career and on building 30DaysCoding, and which audience that would attract.
- A small number of pillars. Posts stayed inside a few recurring themes connected to his experience, so the audience and the feed could learn what to expect from him.
- Profile matched to content. The headline, About and Featured sections were written to say the same thing his posts said.
- Human writing, AI for analysis only. Posts were written by people. AI was used to read analytics and research, not to draft.
- Engagement as part of the job. Thoughtful comments and replies, never pods or automation.
- Review and adjust. We tracked which posts and formats performed and fed that back into the next batch.
The results
| Metric | Result |
|---|---|
| Starting audience | 0 |
| Average impressions per post | 300K+ |
| Top post | 521,800 impressions |
| Second post | 473,643 impressions |
| Third post | 377,854 impressions |
| Fourth post | 362,920 impressions |
The detail that matters most is the average. A single viral post can happen to anyone. An average above 300K impressions per post means the account reaches a large audience as a matter of routine, which is what turns LinkedIn from a lottery into a channel.
What the numbers tell us
Three lessons from this account shape how we work with clients:
- Real experience is the raw material. The posts worked because they came from things Deepanshu had actually done. Ghostwriting cannot invent that, and we never try.
- Consistency beats cleverness. Staying in a few lanes gave the feed a clear signal about who should see each post. Coverage of LinkedIn's 2026 ranking, such as Dataslayer's review, makes the same point about narrow topics and profile alignment.
- The profile does half the work. When a post lands, people click through. A profile that confirms the post's topic turns that visit into a follow or a message.
What you can apply this month
If you want to test the same principles on your own account before working with anyone, start here:
- Write one sentence that says who you help and what you know that they need. Put it in your headline.
- Pick two or three topics from your actual work and post only on those for a month.
- Replace one announcement post with a story about a decision you made and what it cost.
- Spend fifteen minutes a day leaving useful comments on posts by people you want to reach.
What this means for you
If you are a founder or executive with years of experience and little LinkedIn presence, your situation looks like this account did at the start. You do not need to become a writer. You need positioning, a few clear topics and a team that turns your experience into posts you approve.
- For the full writing service, see LinkedIn ghostwriting.
- To start with positioning and a 90-day plan, see personal branding strategy.
- If you are building a technical company, see how we work with SaaS founders and AI startup founders.
- For a client account that grew from a small base, read the Venture Voices case study.
Typical client timelines are slower than a headline number suggests: impressions and profile views typically rise within 30 to 45 days, and inbound conversations typically start in month 2 to 3 of consistent posting. We do not guarantee any specific reach.
Want this running for you?
Get a free LinkedIn teardown. A founder reviews your profile and tells you what is costing you reach and what we would change first, whether or not you hire us.
Led by a Toptal Verified Expert in Marketing and a doctor turned content strategist.
Frequently asked questions
How did Deepanshu Udhwani grow his LinkedIn?
He started from zero and applied the process Postlit now uses for clients: clear positioning, a few consistent content pillars, a profile that matches the posts, human-written content and genuine engagement. The account reached 300K+ average impressions per post, with a top post of 521,800 impressions.
Is 300K average impressions per post realistic for my account?
Not as a promise. Reach depends on your audience size, niche, experience and consistency. What we can say is that a clear position and steady posting typically lift impressions and profile views within 30 to 45 days, and inbound conversations typically start in month 2 to 3.
Did this account use engagement pods or automation?
No. Postlit does not use engagement pods, automation bots, bought followers or mass DMs for any account, including our own. LinkedIn's own policies prohibit third-party automation tools, and pods attract an audience that does not convert into business. The reach on this account came from positioning, writing and genuine engagement.
Who is Deepanshu Udhwani?
He is the co-founder of Postlit Media, responsible for growth and systems. He was one of 29 open-source interns worldwide at Alibaba Cloud, a backend engineer at MakeMyTrip, and co-built 30DaysCoding to 80,000+ students across 15 countries without funding. He also built his own LinkedIn from 0 to 300K+ average impressions per post.