Radhika Gupta engagement report
@iRadhikaGupta - 499K followers on X
Measured over 13 original posts from a 30-day window, last computed on September 22, 2026.
Engagement
A typical post picks up 58 interactions against 499K followers, an engagement rate of 0.012%. Measured over 13 original posts, its engagement rate beats 36% of 20,444 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 17K times each, and 0.332% of those impressions turn into an interaction. That is about 3.51% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.8 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 09:00 UTC, and Wednesday is the busiest day of the week. Of the 13 posts sampled, 46% carry an image or video and 31% link out. The account's strongest tracked post pulled 583 interactions, about 10x its own typical post. Recurring topics include #sif, #altiva, #altivasif.
Measured over 13 original posts from a 30-day window, last computed on September 22, 2026. Recurring tags: #sif, #altiva, #altivasif.
Compared with accounts its own size
Radhika Gupta's engagement rate beats 36% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 10 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 23% 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 0.012%, Radhika Gupta sits above the 10th percentile of the 205,582 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.679% |
| 90th percentile | 2.56% |
| 99th percentile | 82.4% |
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 09:00 UTC, and Wednesday 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 | 46% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 31% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 46% 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.
- 31% 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 492 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
- Jun 19, 202510x their median
It's here! Every time someone told me money is too difficult or finance too complex, a part of me felt sad—and wondered, what can I do? This is the answer. Over the past year, @avasthiniranjan and I created Mango Millionaire—a simple, complete money friend for the aam junta. It’s not a stock market or behavioural finance book, but one that answers real questions like: What do I do if I earn ₹30,000 a month? Should I rent or buy? How much insurance do I really need? After 20 years in finance, making money as simple as dal chawal has been tough—but incredibly rewarding. Mango Millionaire is now open for pre-order at the link below. All author proceeds go towards financial literacy for India. If you're looking to make finance simple—or know someone who is—join the journey! Link: https://t.co/efi0b8jrbG
- Sep 11, 20265.3x their median
A strait closes in the Gulf, a bond yield moves in Mumbai, and a chip rule in Washington changes plans in Pune. Geopolitics, macroeconomics, and technology are no longer separate...they are one connected system. More information won't help you navigate this, but a better lens will. The Entropy Trap by Mickey Maini offers just that, treating the financial system like a physical one: stored stress doesn't vanish, and calm is often misleading before structural shifts hit. It’s not a doom book; it’s a tool for managing capital and leading businesses. Instead of forecasting exact numbers, measure the state of the system you’re in. The book gave me perspective that understanding coming change in the global system is key to understanding the india story. Link - https://t.co/0kpvPfhkgZ
- Sep 8, 20264.6x their median
Most investors start with an absolute goal. "I need 10% returns." "I need to retire comfortably." "I need my money to beat inflation and grow." Then something strange happens. The fund delivers what it promised. The goal is on track. But a newer, hotter fund appears. It made more. Suddenly, what was good enough isn't good enough anymore. Absolute becomes relative. Money moves. Fund managers feel pressure to keep up. Risks get stretched. Portfolios become more aggressive. Everyone chases the latest winner. The irony is that the investor's goal may not have changed at all. In investing, performance matters. Too little performance is a problem. But too much performance should also make you ask questions. Because in markets, there is rarely a free lunch. Extraordinary returns often come with extraordinary risks, sometimes visible, sometimes hidden. The best investing is not about finding the fund that wins every year. It's about finding an approach that gets you where you need to go, and having the discipline to stay with it. The biggest wealth destroyer is often not poor performance. It's the constant search for better performance.
- Sep 16, 20263.9x their median
Dear Investor, Data helps us make better decisions. But it can also shorten our time horizon. Think about the things we hold patiently: FDs, single malts, private businesses, even ancestral furniture in our homes. None of them come with a live NAV flashing on our phones every second. Stocks and mutual funds are different. We can check them anytime. And because we can, we do. Here's the irony: volatility rises the more often you look. The investment hasn't changed. Only the frequency of observation has. Maybe the answer is to evaluate investments over the horizon they were designed for. An overnight fund can be judged daily. An equity fund probably can't. On a lighter but no so light note, imagine if your house had a live NAV. It wouldn't become more volatile. You'd just notice the volatility more. Then you'd check it ten times a day, compare it with your neighbour's, obsess over whether you paid the right price, and have the occasional anxiety attack. The house wouldn't have changed. Only your experience of owning it would. Love, Zindagi
- Aug 23, 20263.8x their median
Many people ask me, "Do I need a SIF?" That's the wrong question. Don't ask for the product. Show me the problem. - Need a more efficient alternative to traditional fixed income? Meet Hybrid Long Short (better yield solution) - Looking for high-alpha opportunities? Meet Ex Top 100 (alpha solution) - Want core equity exposure with a little extra alpha and lower noise? Meet Equity Long Short (efficient beta solution) Portfolios don't need more products. They need better solutions to existing problems.
- Sep 16, 20262.1x their median
Came across Solstice Laboratory's Substack after reading The Entropy Trap, and was happy to see this week's issue focus entirely on India. What stood out: it connects geopolitics, debt, and innovation into a single framework, then breaks down what those signals mean for your portfolio in plain language. Also appreciate how they leave clear forecasts with open probabilities on record, then grade themselves publicly later. Not many do that. It's a constructive take rather than a warning. Worth a read: https://t.co/Y5ZHVNtBSl
- Aug 25, 20261.9x their median
A sensible take on how to compare SIFs in the hybrid category. Please keep doing more such work @KirtanShahCFP. Appreciate you also focusing on investing in hybrid SIFs with a 18+ month horizon. https://t.co/qnrwQ98gF9
- Sep 4, 20261.8x their median
Altiva's next fund (Equity Long Short) in 4 slides. The solution: consistent large cap alpha through income oriented derivatives (not stock picking). https://t.co/xnxuffWTQC
- Aug 19, 2026
Over ₹12.2 lakh crore is invested in Large Cap strategies (active + passive) across 5.1 crore accounts. In the last three years, these strategies have seen inflows of ₹2.48 lakh crore, with nearly 80% flowing into passive funds. Large caps are the core of most portfolios, offering stability, resilience, and long-term wealth creation. However, generating consistent alpha through stock selection alone can be challenging in a well-researched and efficiently priced market. How do we make alpha more consistent in this category? #AltivaSIF answers this with its next launch, coming soon. Curious?
- Sep 7, 2026
Altiva's new fund simplified by Bhavesh himself! https://t.co/XLvYO0MDbw
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.
Buy or sell Twitter (X) accounts - escrow-protected
PlayerSells is an escrow marketplace for Twitter (X) accounts. Every deal is protected, with no middleman risk.
Reading these numbers
A typical post picks up 58 interactions against 499K followers, an engagement rate of 0.012%. Measured over 13 original posts, its engagement rate beats 36% of 20,444 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 17K times each, and 0.332% of those impressions turn into an interaction. That is about 3.51% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.8 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 09:00 UTC, and Wednesday is the busiest day of the week. Of the 13 posts sampled, 46% carry an image or video and 31% link out. The account's strongest tracked post pulled 583 interactions, about 10x its own typical post. Recurring topics include #sif, #altiva, #altivasif.
- What is Radhika Gupta's engagement rate on X?
- Radhika Gupta (@iRadhikaGupta) has an engagement rate of 0.012%, based on the median interactions across 13 original posts from the last 30 days against 498,665 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.012%, Radhika Gupta sits above the 10th percentile of the 205,582 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 @iRadhikaGupta have real engagement?
- Its engagement rate beats 36% of the tracked X accounts closest to it in follower count (20,444 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 @iRadhikaGupta post?
- Most posts go out around 09:00 UTC, and Wednesday is its busiest day, at roughly 2.83 posts per day across the measured window.