Deepak Shenoy engagement report
@deepakshenoy - 295K followers on X
Measured over 36 original posts from a 30-day window, last computed on September 19, 2026.
Engagement
A typical post picks up 164 interactions against 295K followers, an engagement rate of 0.056%. Measured over 36 original posts, its engagement rate beats 51% of 15,519 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 28K times each, and 0.591% of those impressions turn into an interaction. That is about 9.39% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.4 posts a day over the last 30 days, with activity on roughly 70% of days. Most posts go out around 15:00 UTC, and Tuesday is the busiest day of the week. Of the 36 posts sampled, 53% carry an image or video, 11% are part of a thread and 28% link out. The account's strongest tracked post pulled 86K interactions, about 521x its own typical post. Recurring topics include #bigmarketvoices, #alphamanagers, #awaazexclusive.
Measured over 36 original posts from a 30-day window, last computed on September 19, 2026. Recurring tags: #bigmarketvoices, #alphamanagers, #awaazexclusive.
Compared with accounts its own size
Deepak Shenoy's engagement rate beats 51% of the tracked X accounts closest to it in follower count (15,519 accounts, accounts of similar size (decile 9 of 10)). A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.
On engagement per impression rather than per follower it beats 32% of the same group. When those two numbers disagree, the gap is about how far its posts travel rather than how people react to them.
Where this sits in the catalog
At 0.056%, Deepak Shenoy sits above the 25th percentile of the 157,233 accounts in this comparison. That places it in the below the median band, which runs 0.022% to 0.128%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.003% |
| 25th percentile | 0.022% |
| 50th percentile | 0.128% |
| 75th percentile | 0.604% |
| 90th percentile | 2.32% |
| 99th percentile | 83.4% |
This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built
Posting timing
This account posts most often around 15:00 UTC, and Tuesday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 00:00 UTC | -1% | 89K |
| 01:00 UTC | -2% | 90K |
| 02:00 UTC | -3% | 88K |
| 03:00 UTC | -4% | 94K |
| 04:00 UTC | -5% | 76K |
| 05:00 UTC | -4% | 75K |
| 06:00 UTC | -5% | 86K |
| 07:00 UTC | -5% | 93K |
| 08:00 UTC | -4% | 108K |
| 09:00 UTC | -4% | 124K |
| 10:00 UTC | -3% | 129K |
| 11:00 UTC | -3% | 141K |
| 12:00 UTC | -3% | 154K |
| 13:00 UTC | -3% | 167K |
| 14:00 UTC | -4% | 173K |
| 15:00 UTC | -2% | 176K |
| 16:00 UTC | -3% | 171K |
| 17:00 UTC | -3% | 159K |
| 18:00 UTC | -2% | 149K |
| 19:00 UTC | -2% | 141K |
| 20:00 UTC | -1% | 131K |
| 21:00 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
Formats this account uses
Its own posting mix on the left, and what each of those formats does across every account we track on the right. Only formats where the effect clears our publish test appear here, so an empty row is a format we could not measure rather than one that does nothing.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 53% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 28% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 53% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 111% above the same accounts' other posts.
- 28% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
- Its average post runs 359 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above the same accounts' other posts.
These are catalog-wide differences applied to this account's own posting mix, not a measurement of how each format performs for this account specifically. We keep one median per account, not one per format per account, so the second thing is not something this data can tell you.
Best tweets
- Sep 4, 2026521x their median
Hey @Nike and @DICKS… If you’re wondering why y’all’s quarterly earnings stunk and your stock is getting pummeled… This might be one of the reasons… I’m on a business trip and forgot to bring a simple workout T-shirt. I found a Dicks Sporting goods store close to me, walked in and headed for the Nike athletic wear section. I picked it up and looked on the price tag…. $60. Sixty bucks!? For a simple. One color, polyester t-shirt. Y’all….It’s a T-SHIRT. A cheap, little polyester t-shirt that cost you around $5 for some 12 year old kid in Vietnam to make. For context. I make a pretty good living. Money isn’t a huge concern for my wife and I. I saw that price and asked the sales lady if it was a mistake. She said it wasn’t. I walked out the door. It’s a Nike T-shirt. Not a Ralph Lauren Polo or some higher end brand. Here’s the crazier part. I drove down the street to @Dillards and guess what the non discounted Ralph Lauren Polo T-shirt’s were? $55. Maybe it’s just me. But you’re NIKE. There’s no way…I mean NO WAY, I’m buying a polyester t-shirt for $60.
- Aug 28, 2026229x their median
Eternal absolutely got this one right https://t.co/rtFbYp8iR3
- Sep 2, 202612x their median
RBI gets a massive 127 billion USD from the FCNR swap. And another 9bn from the borrowing swaps. Thats 136bn which should be about 12 lakh crores! USDINR is now at 94.73. Absolutely huge! https://t.co/Edlqd1I2jf
- Sep 15, 20269.8x their median
MDR on UPI is here - meaning, some merchants will pay money to receive payments on some UPI transactions. First, those that won't pay at all even after this: 1) You and me types, individuals paying each other. Pay like there's no tomorrow, and you won't be charged. 2) Everyone else is a "merchant". So Any payment under Rs. 2000 to a merchant for anything regardless of what anyone says. Yes, you can even pay a merchant in multiples of Rs. 1500 and no one will be charged. 3) Small merchants that make less than Rs. 100,000 in UPI payments per month (including the less than Rs. 2000 ones). They don't have to pay. Now who will pay: (Next item in thread)
- Sep 2, 20263.6x their median
Long interview. Besides his usual tirade against industrial policy, which by now sounds increasingly hollow, Raghuram Rajan's reasoning for criticising India’s semiconductor mission is particularly bizarre. Chips, he argues, are “the most easily smuggled thing on earth.” Really? Is that a serious argument against building semiconductor capability? Another thing striking in the interview. Rajan, who was heading Tamil Nadu’s Economic Advisory Council to Chief Minister M.K. Stalin, has this to say about the Tamil Nadu economic model. “Take Tamil Nadu. What kind of manufacturing jobs are you getting? The pay in the enterprises that assemble products and all that is not that different from the pay the driver gets or a house help gets in Chennai. It’s ₹20,000 per month. It’s not that great. We need to figure out how we can get better jobs.” That is quite an assessment from someone advising the state on its economic strategy. https://t.co/k0uFRXfcpF
- Sep 3, 20263.5x their median
The fear on the FCNR in my view is primarily about inflation. When you add some 9 lakh crore plus in rupee liquidity by printing rupees, especially at a time of high credit growth, there is the fear that secondary inflation rises. Usually this happens with a bit of a lag, 6m to 18m. RBI needs to reduce the liquidity thus created, otherwise it will have to raise rates. The Balance sheet of the RBI was already bloated, and it will bloat even more now.
- Sep 10, 20262.7x their median
ECB raises rates 0.25% . This should prompt a raise next week by the Fed and the Bank of Japan. India might have to do something sympathetic, but honestly I don't see why because we have a truckton of liquidity
- Sep 7, 20262.7x their median
While the number of ATMs in India is the same as 2022, the amount of money withdrawn per ATM is about 20% lower now. Even though cash in circulation has increased, this is not cash driven through ATMs - meaning, it's probably withdrawn directly from bank branches, which is usually larger sums, used for things like real estate transactions or such. Actual/small transactions are now much more through UPI. Interesting data from the RBI database.
- Aug 25, 20262.0x their median
WHY AM I LOOKING AT RBI DATA AT 1 AM
- Sep 16, 20261.9x their median
In general, the UPI MDR will reach about 3% of the transactions. 96% of current transactions are anyhow out. Out of the remaining 4%, 1/4th will move to other sources. But that will still mean some fairly large revenues for all players, let's see if it hits 10,000 cr. +
Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.
Recurring topics
The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.
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Reading these numbers
A typical post picks up 164 interactions against 295K followers, an engagement rate of 0.056%. Measured over 36 original posts, its engagement rate beats 51% of 15,519 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 28K times each, and 0.591% of those impressions turn into an interaction. That is about 9.39% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.4 posts a day over the last 30 days, with activity on roughly 70% of days. Most posts go out around 15:00 UTC, and Tuesday is the busiest day of the week. Of the 36 posts sampled, 53% carry an image or video, 11% are part of a thread and 28% link out. The account's strongest tracked post pulled 86K interactions, about 521x its own typical post. Recurring topics include #bigmarketvoices, #alphamanagers, #awaazexclusive.
- What is Deepak Shenoy's engagement rate on X?
- Deepak Shenoy (@deepakshenoy) has an engagement rate of 0.056%, based on the median interactions across 36 original posts from the last 30 days against 295,241 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.056%, Deepak Shenoy sits above the 25th percentile of the 157,233 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
- Does @deepakshenoy have real engagement?
- Its engagement rate beats 51% of the tracked X accounts closest to it in follower count (15,519 accounts), which puts it in the middle of its size range group. Ranking inside a size band matters because engagement rate falls as accounts grow, so a raw rate would mostly re-measure the follower count. It is a starting point for a look at follower quality, not a verdict on it.
- When does @deepakshenoy post?
- Most posts go out around 15:00 UTC, and Tuesday is its busiest day, at roughly 3.43 posts per day across the measured window.