Puru Saxena engagement report
@saxena_puru - 402K followers on X
Measured over 26 original posts from a 30-day window, last computed on August 31, 2026.
Engagement
A typical post picks up 306 interactions against 402K followers, an engagement rate of 0.076%. Measured over 26 original posts, its engagement rate beats 48% of 3,775 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 43K times each, and 0.716% of those impressions turn into an interaction. That is about 10.6% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 07:00 UTC, and Thursday is the busiest day of the week. Of the 26 posts sampled, 27% carry an image or video and 12% link out. The account's strongest tracked post pulled 814 interactions, about 2.7x its own typical post.
Measured over 26 original posts from a 30-day window, last computed on August 31, 2026.
Compared with accounts its own size
Puru Saxena's engagement rate beats 48% of the tracked X accounts closest to it in follower count (3,775 accounts, accounts of similar size (decile 6 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 33% 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 0.076%, Puru Saxena sits above the 25th percentile of the 36,654 accounts in this comparison. That places it in the below the median band, which runs 0.012% to 0.08%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.012% |
| 50th percentile | 0.08% |
| 75th percentile | 0.433% |
| 90th percentile | 2.10% |
| 99th percentile | 160.5% |
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 07:00 UTC, and Thursday 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% | 51K |
| 01:00 UTC | -2% | 52K |
| 02:00 UTC | -3% | 50K |
| 03:00 UTC | -4% | 53K |
| 04:00 UTC | -6% | 43K |
| 05:00 UTC | -4% | 42K |
| 06:00 UTC | -4% | 48K |
| 07:00 UTC | -5% | 52K |
| 08:00 UTC | -4% | 61K |
| 09:00 UTC | -3% | 70K |
| 10:00 UTC | -2% | 72K |
| 11:00 UTC | -3% | 78K |
| 12:00 UTC | -2% | 86K |
| 13:00 UTC | -2% | 94K |
| 14:00 UTC | -4% | 97K |
| 15:00 UTC | -2% | 101K |
| 16:00 UTC | -3% | 98K |
| 17:00 UTC | -2% | 91K |
| 18:00 UTC | -1% | 85K |
| 19:00 UTC | -1% | 80K |
| 20:00 UTC | -1% | 74K |
| 21:00 UTC | -1% | 66K |
| 22:00 UTC | -1% | 57K |
| 23:00 UTC | -2% | 52K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +4% | 231K |
| Monday | 0% | 288K |
| Tuesday | -2% | 278K |
| Wednesday | -1% | 251K |
| Thursday | -1% | 245K |
| Friday | -3% | 253K |
| Saturday | +3% | 227K |
Best tweets
- Aug 20, 20262.7x their median
AI stocks declined 50-60% in June-July, bottomed this month and are now consolidating. The fundamentals are still intact, the sell-off was driven by technicals and after a near-term chop, we expect a strong multi-month rally in the leading stocks.
- Aug 18, 20262.3x their median
Neoclouds are scaling faster than the hyperscalers https://t.co/bXVpkf4fxB
- Aug 25, 20262.2x their median
AI stocks are like coiled springs, after near-term consolidation expecting a multi-month rally. Every AI metric is accelerating and this is positive. The recent rout was a technical unwind, not the end of the story IMO.
- Aug 12, 20262.2x their median
$KOSPI - time to buy Pullback to the 40-week moving average + bullish cross A rally will be *very* positive for the AI trade, we're fully invested and ready for the opportunity https://t.co/DTN7WxdgOf
- Jan 18, 20251.9x their median
AlphaTarget's Process: How We Invest -🧵 - 1/ Why Stocks? History shows that stocks are the best-performing asset class over the long term, significantly outperforming bonds, gold, and cash. But the stock market is volatile. To harness its power, we focus on disruptive, high-growth companies with substantial long-term potential. 2/ What We Look For We prefer founder-led businesses, as CEOs with skin in the game often deliver superior returns. We target disruptive, rapidly growing companies at the forefront of secular trends redefining how people live, work, and play—allocating capital to dominant businesses in these spaces. 3/ How We Invest Our portfolio typically holds 15-20 carefully chosen, capital-light companies with high margins, strong free cash flow, and preferably recurring revenue. We monitor our holdings closely and sell when operating results, management, or prospects deteriorate. We also use Stage Analysis, holding stocks during "Stage 1" bases and "Stage 2" uptrends, selling when they form "Stage 3" tops. 4/ Dynamic Portfolio Management If we find a new idea better than our weakest holding, we rotate capital into the new opportunity. This ensures our portfolio remains focused on the best opportunities at all times. During "Stage 2" uptrends, when our stocks are over-extended, we may trim our positions and when they become oversold, we add to our high-conviction holdings. When our stocks start forming "Stage 3" tops, we cash out and lock-in our gains. 5/ Handling Market Volatility Stock market cycles bring booms and busts. To protect our portfolio: 🔹 We use trend-following indicators to hedge during downtrends by shorting index futures or ETFs. 🔹In euphoric markets, we may sell and hold cash to mitigate risks. 6/ What We Avoid No options, no short-selling individual stocks, no short-term trades. We stay focused on investing for the long term, aligning with trends to maximise upside and protect downside. In Summary By combining fundamental analysis (investing in promising, rapidly growing businesses), Stage Analysis, and systematic hedging, we aim to generate long-term alpha. Our team publishes deep research on our portfolio companies and our subscribers get exclusive access to our holdings, real-time portfolio moves and our systematic hedging strategy: https://t.co/YKr5pL78cE
- Aug 11, 2026
Very strong operating results from CoreWeave! $CRWV The AI boom is intact and the recent sell-off in AI stocks appears to be a buying opportunity.
- Aug 27, 2026
TMT Bubble vs. now This time around, earnings outpacing stock prices Chart @steve_donze https://t.co/QGZwrbjMWJ
- Aug 28, 2026
$NVDA has told us that the AI capex boom will remain intact until at least 2027-end. ~16 months of visibility will likely ignite a big rally in AI stocks which after the June-July rout are technically oversold.
- Aug 23, 2026
Q3 was one of the sharpest hedge fund degrossing period over the past decade. Prior ones occurred near major market bottoms. We may get near-term turbulence but odds are elevated for a multi-month rally. Chart GS https://t.co/87wtxvJsBN
- Aug 27, 2026
$NDVA Nvidia expects that its top five US hyperscaler customers will spend US$1.3 trillion on AI capex next year, whereas we suspect the market was estimating US$0.9-1 trillion. AI token usage is still rising exponentially and high GPU rental prices indicate that the market for AI accelerators, such as Nvidia’s GPUs and rack-scale solutions remains a constraint. If Nvidia's revenue guidance is accurate, then the stock appears to be very undervalued and a 40-50% rally over the next 6-8 months will likely translate into much greater gains for the smaller, hyper-growth AI companies. Our portfolio is positioned for this opportunity and we're expecting a big rally in Q4-Q1. https://t.co/YKr5pL7G2c
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.
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Reading these numbers
A typical post picks up 306 interactions against 402K followers, an engagement rate of 0.076%. Measured over 26 original posts, its engagement rate beats 48% of 3,775 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 43K times each, and 0.716% of those impressions turn into an interaction. That is about 10.6% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 07:00 UTC, and Thursday is the busiest day of the week. Of the 26 posts sampled, 27% carry an image or video and 12% link out. The account's strongest tracked post pulled 814 interactions, about 2.7x its own typical post.
- What is Puru Saxena's engagement rate on X?
- Puru Saxena (@saxena_puru) has an engagement rate of 0.076%, based on the median interactions across 26 original posts from the last 30 days against 401,614 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.076%, Puru Saxena sits above the 25th percentile of the 36,654 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 @saxena_puru have real engagement?
- Its engagement rate beats 48% of the tracked X accounts closest to it in follower count (3,775 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 @saxena_puru post?
- Most posts go out around 07:00 UTC, and Thursday is its busiest day, at roughly 1.27 posts per day across the measured window.