Pranjal Kamra engagement report
@pranjalkamra - 168K followers on X
Measured over 32 original posts from a 30-day window, last computed on October 22, 2026.
Engagement
A typical post picks up 20 interactions against 168K followers, an engagement rate of 0.012%. Measured over 32 original posts, its engagement rate beats 22% of 20,444 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 5.7K times each, and 0.349% of those impressions turn into an interaction. That is about 3.42% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.8 posts a day over the last 30 days, with activity on roughly 70% of days. Most posts go out around 06:00 UTC, and Monday is the busiest day of the week. Of the 32 posts sampled, 16% carry an image or video and 25% are part of a thread. The account's strongest tracked post pulled 612 interactions, about 31x its own typical post. Recurring topics include #finology30, #jioipo, #stockmarket.
Measured over 32 original posts from a 30-day window, last computed on October 22, 2026. Recurring tags: #finology30, #jioipo, #stockmarket.
Compared with accounts its own size
Pranjal Kamra's engagement rate beats 22% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 8 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 18% 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%, Pranjal Kamra sits above the 10th percentile of the 205,261 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 | 0.678% |
| 90th percentile | 2.55% |
| 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 06:00 UTC, and Monday 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 | 16% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 3% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 16% 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.
- 3% 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 362 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 25, 202631x their median
PB Fintech lost ₹25,000 crore in a single day. SBI Life didn't drop a single rupee. One proposal from IRDAI changed the whole industry structure. The breakdown in 1 minute.🧵
- Oct 2, 202627x their median
Stock Market Down. What is going on? https://t.co/cxCkIGaEOt
- Aug 6, 202618x their median
Kaynes Technology made ₹364 crore in profit last year. And yet, its operating cash flow was negative by ₹600 crore in the same year. Same company, same year but two completely different stories. This is one of the most important and least understood concepts in investing. A company can be genuinely profitable and still be consuming cash faster than it is generating it. Here is what is happening. Kaynes is growing fast. Revenue almost doubled in two years. But to deliver that growth, the company needs to buy more inventory upfront, manufacture the product, deliver it, and then wait for customers to pay. In FY26, receivable days jumped from 84 to 134 days. Receivables jumped from ₹575 crore to ₹1,528 crore. Much of that money is tied up in inventory and customer invoices, but it is not in the bank yet. This is what accountants call working capital. And when working capital grows faster than profits, cash flow turns negative even when the P&L looks healthy. Profit tells you what a business earned. Cash flow tells you what it actually collected. The next time you look at a fast-growing company, check both numbers. A business that earns strong profits on paper but struggles to collect cash is a question worth asking early.
- Sep 15, 202616x their median
NSE earns 4x more profit than BSE. It is listing at a lower relative valuation. Here is what it means for the IPO🧵 #NSEIPO
- Oct 17, 202610x their median
Jio's IPO values it at 32-34x earnings. Bharti Airtel trades at around 37x. That's an 8-14% discount to Airtel. But Airtel's monthly ARPU is ₹264, around 22% higher than Jio's ₹215.6. Is the discount big enough? Read through link in the comments. #JioIPO
- Sep 14, 202610x their median
NSE IPO Here is what I think. Disclaimer: This content is for educational and informational purposes only and should not be construed as investment advice. #NSEIPO
- Sep 18, 20269.6x their median
UPI fees are justified. The way they were introduced is not. Here is what I think.🧵 #UPIcharges
- Oct 14, 20267.4x their median
Bajaj Auto collects money for its vehicles before it pays for the parts used to make them. In FY26, the company ran on negative operating working capital of about ₹538 crore, excluding investments. In simple terms, Bajaj’s suppliers fund its day-to-day operations. Here’s how the cycle works. Inventory sits for about 19 days, and dealers pay in about 16 days. So cash comes back to Bajaj in roughly 35 days. Bajaj, meanwhile, pays its suppliers in about 60 days. Why do suppliers and dealers agree to this? Bargaining power. A handful of companies, including Hero, Honda, TVS and Bajaj, account for most of India’s two-wheeler sales. Many component suppliers depend on these manufacturers for a significant portion of their business, which allows manufacturers to negotiate longer payment periods. Dealers generally pay manufacturers before receiving vehicles, often using bank financing. They accept these terms because dealerships are usually tied to one brand, customers visit showrooms for that brand, and the manufacturer controls the supply of vehicles. The result is a business that collects from dealers before paying suppliers, keeping its working capital requirements low. This is common across India’s two-wheeler industry. So the next time you study a company, look at its cash cycle. How quickly does it collect, and how long does it take to pay? The answer often tells you who holds the power in that industry.
- Sep 16, 20266.8x their median
PK Bola Stock Review Series EP 5: PPFAS Mutual Fund Disclaimer: Pranjal Kamra is the Director of Finology Ventures Pvt. Ltd., a SEBI Registered Research Analyst entity (Reg. No. INH000024277). This content is for educational and informational purposes only and should not be construed as investment advice. We hold no financial interest or investments in the securities discussed herein. Investment in securities market are subject to market risks. Read all the related documents carefully before investing.
- Aug 13, 20266.4x their median
Motilal Oswal is no longer just a broker. •In FY21, broking contributed around 60% of its Wealth Management revenue. •By FY26, that had fallen to just 35%, as lending and distribution became much larger businesses. So, the client may enter through broking, but the company earns from what happens after that. Know how this model is working out. Link in comments!
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 20 interactions against 168K followers, an engagement rate of 0.012%. Measured over 32 original posts, its engagement rate beats 22% of 20,444 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 5.7K times each, and 0.349% of those impressions turn into an interaction. That is about 3.42% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.8 posts a day over the last 30 days, with activity on roughly 70% of days. Most posts go out around 06:00 UTC, and Monday is the busiest day of the week. Of the 32 posts sampled, 16% carry an image or video and 25% are part of a thread. The account's strongest tracked post pulled 612 interactions, about 31x its own typical post. Recurring topics include #finology30, #jioipo, #stockmarket.
- What is Pranjal Kamra's engagement rate on X?
- Pranjal Kamra (@pranjalkamra) has an engagement rate of 0.012%, based on the median interactions across 32 original posts from the last 30 days against 167,587 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.012%, Pranjal Kamra sits above the 10th percentile of the 205,261 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 @pranjalkamra have real engagement?
- Its engagement rate beats 22% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the bottom quarter for its size 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 @pranjalkamra post?
- Most posts go out around 06:00 UTC, and Monday is its busiest day, at roughly 1.8 posts per day across the measured window.