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amit engagement report

@amitisinvesting - 674K followers on X

Measured over 56 original posts from a 30-day window, last computed on October 8, 2026.

Engagement

Top quarter for its size
Per follower
0.25%
of 674K followers
Per impression
1.02%
164K views on a typical post
Reach
24.5%
of its followers see a post
Typical post
1.7K
interactions (median)
Saved
0.069%
112 bookmarks on a typical post
Posting rate
2.07/day
active 63% of days
Peak time
16:00 UTC
Monday

A typical post picks up 1.7K interactions against 674K followers, an engagement rate of 0.25%. Measured over 56 original posts, its engagement rate beats 84% of 20,444 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 164K times each, and 1.02% of those impressions turn into an interaction. That is about 24.3% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.1 posts a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 16:00 UTC, and Monday is the busiest day of the week. Of the 56 posts sampled, 52% carry an image or video. The account's strongest tracked post pulled 28K interactions, about 17x its own typical post.

Measured over 56 original posts from a 30-day window, last computed on October 8, 2026. Recurring tag: #aipcon.

Compared with accounts its own size

amit's engagement rate beats 84% 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 48% 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 0.25%, amit sits above the 50th percentile of the 204,798 accounts in this comparison. That places it in the above the median band, which runs 0.143% to 0.678%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,798 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,879 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.004%
25th percentile0.024%
50th percentile0.143%
75th percentile0.678%
90th percentile2.55%
99th percentile82.4%

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 16:00 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.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 16:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 16:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
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 UTC0%116K
22:00 UTC-2%100K
23:00 UTC-1%90K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Monday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%393K
Monday+1%483K
Tuesday-2%520K
Wednesday-3%472K
Thursday-2%430K
Friday-3%447K
Saturday+2%393K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

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.

This account's posting mix compared with catalog-wide effects
FormatThis accountCatalog effect95% intervalAccounts behind it
Image or video52% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 52% 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.
  • 0% 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 1587 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

  • Jul 30, 202617x their median

    OH. MY. GOODNESS. CITADEL HAS BOUGHT A MAJORITY OF THE PUBLIC ASSETS FROM LEOPOLD'S SITUATIONAL AWARENESS FUND. So...Citadel scares everyone on Tuesday about a surprise rate hike during FOMC that WE ALL KNEW was not going to happen... On Wednesday, the entire market freaks out about the rate hike which causes the selling to compound on itself creating 50-70% drawdowns across the board in high beta semicondcutor names... Which means Leopold who we now know had $45B of assets and was 400% LEVERED ends up being the sacrifice as he gets liquidated at what theoretically could be the bottom due to not having the margin requirements to keep solvent... AND THE PERSON WHO CAUSED THE SELLOFF WITH THE RATE HIKE FEARS ENDS UP COMING IN TO BUY HIS ASSETS FOR 40 TO 50 CENTS ON THE DOLLAR. By the way, Leopold is getting married this weekend. I think he wanted to make sure he wasn't getting margin called during his wedding. A vet on wall street in Ken Griffin takes out the young new kid. ABSOLUTE. CINEMA.

    23K2.1K1.5K8425.0M viewsView on X
  • Sep 14, 20269.4x their median

    TRUMP CALLED JENSEN DURING THE ALL IN SUMMIT AND THEY PUT HIM ON SPEAKER PHONE: Trump: "I'm telling you it's all a hoax. The data centers are great. They make people wealthy. They make states wealthy. AI is bigger than the internet. These people are playing right into the hands of China. We're not going to let that happen." Jensen: "You're right, we're not going to let that happen sir." This is quite the timeline we are living in folks.

    14K1.3K330148893K viewsView on X
  • Apr 3, 20245.3x their median

    I sat down with the CEO and CoFounder of Robinhood, Vlad Tenev, to discuss a variety of topics after Robinhood's Gold Standard event. In the podcast, we discussed the early days of Robinhood and how the company grew, the economics behind Robinhood Gold's new 1% unlimited match on deposits, how Robinhood thinks of the credit market with their new 3% cash back card, international expansion, crypto, and more. This was one of the first long-form podcasts Vlad has sat down for in over 2 years, so was very grateful for him giving the time after one of the busiest weeks in history for the company following their Gold event. I hope you all enjoy and it helps give some more insights into what Robinhood is trying to build!

    7.2K7028691358.5M viewsView on X
  • Aug 19, 20263.9x their median

    it is time. it is absolutely time. $BTC 🚀 https://t.co/pYQDFCjjr0

    5.8K37234927435K viewsView on X
  • Aug 26, 20263.0x their median

    A TON OF THINGS HAPPENED IN THE STOCK MARKET TODAY. Here's a full recap: 1. The U.S. reportedly offered Iran a deal to halt the siege and lift sanctions in exchange for reopening the Strait of Hormuz and ending proxy attacks, according to Al Arabiya. Axios also reports that Rubio told several foreign counterparts the U.S. does not plan new strikes on Iran for now, with pressure shifting toward the naval blockade and new sanctions campaign instead. Crude Oil fell 4% and the 10-year treasury bond fell from 4.72% to 4.62%. 2. Global physical gold-backed ETFs $GLD attracted $6.4B of inflows last week, their largest weekly intake since January and the 3rd-largest weekly inflow on record. North America led with $4.4B, followed by Europe at $1.7B and Asia at $300M. This marked the 7th straight week of inflows, with global gold ETFs pulling in $16.4B over that stretch. Total AUM in global gold ETFs rose by $33B last week to $615B, the highest level since the second week of May. 3. Intuit $INTU reported Q4’26 revenue of $4.4B, beating estimates of $4.27B and up 14% YoY. Adjusted EPS came in at $4.03 versus $3.58 expected. Global Business Solutions revenue rose 14% YoY to $3.4B, the Online Ecosystem grew 17% YoY to $2.6B, Consumer revenue increased 14% YoY to $930M, and Credit Karma revenue rose 16% YoY to $743M. For FY27, Intuit guided revenue to $23.3B–$23.5B versus $23.72B expected, while adjusted EPS guidance of $22.88–$23.12 came in well below the $27.32 estimate. The company also raised its dividend 15% YoY to $1.38/share, bought back $5.5B of stock, and has $7.9B remaining on its authorization. Management said its strategy is to win as an AI-driven expert platform while staying disciplined on investments and scaling its big bets. 4. President Trump said the U.S. Navy has removed and/or detonated all mines from international waters in the Strait of Hormuz. He said Iran has been notified that any ship or boat placing new mines will be “immediately and systematically destroyed.” Trump added that Space Force is monitoring every square inch of the Strait, along with Pickaxe Mountain and the three previously destroyed nuclear sites, and said a “Zero Tolerance” policy on mine placement is now in full effect. 5. Canada is responding to U.S. tariffs with new tariffs of its own. The country is raising steel tariffs to 50% from 25%, while roughly 700 products will face new tariff rates of 15%, 25%, and 50%. The measures are set to take effect on September 8, marking another escalation in the U.S.–Canada trade dispute. 6. Anthropic is expected to tell IPO investors its total addressable market exceeds $30T, topping SpaceX’s $28.5T estimate, according to WSJ. The figure represents the potential value of work Anthropic believes AI models could eventually perform, not a direct revenue forecast. Anthropic generated $11.6B in Q2 revenue and could seek to raise as much as $100B at roughly a $2T valuation. IPO documents are expected within weeks, potentially setting up a September or early October listing. 7. OpenAI’s data-center head Chris Malone left the company last week, according to WSJ. Malone joined in March 2025 shortly after Stargate was announced and played a key role overseeing OpenAI’s massive data-center buildout. He previously led data-center strategy at Meta and earlier worked on data-center technology at Google. The departure comes just weeks after OpenAI also replaced its chief revenue officer, adding another senior leadership change as the company races to scale infrastructure, revenue, and compute capacity. 8. ClickHouse has surpassed $350M in annual recurring revenue, up 40% since May, as AI agents drive demand for database and observability infrastructure. OpenAI’s usage has reportedly grown roughly 10x over the past year to more than 30 petabytes of data per day, or around 30T events daily. OpenAI has also shifted parts of its log-management workload from Datadog to ClickHouse over the past year. ClickHouse was valued at $15B in January and says gross margins currently range from 50%–70%. Earlier this year, the company acquired Langfuse to expand deeper into monitoring AI applications and agents. Nebius $NBIS owned a 28% stake in ClickHouse as of May 2025, though that stake has likely been diluted by subsequent fundraising. 9. JPMorgan reiterated its Overweight rating on SpaceX $SPCX with a $240 price target, saying the company’s AI ambitions are coming into sharper focus and that it is increasingly positive on Grok. The firm highlighted SpaceX’s completed acquisition of Cursor on 8/14 as an important step in building enterprise AI capabilities. Cursor brings roughly $4B of ARR as of June 2026, with about 75% coming from businesses, which JPMorgan says should help streamline go-to-market and provide valuable model-training data. The firm also said Cursor data is already showing up in Grok’s supplemental training, with tangible improvements in recent model performance. 10. OpenAI says its new Broadcom-built Jalapeno AI chip outperformed Nvidia $NVDA GB300 in both throughput per watt and response latency during internal testing, according to Bloomberg. The chip is built specifically for inference, not training, and runs at roughly 700 watts. OpenAI plans to begin deploying Jalapeno for its models later this year, saying the performance gap widened on larger workloads, including Moonshot’s Kimi model, and that the chip has also performed well on unreleased OpenAI models. The key caveat is that Jalapeno was tested against GB300, not Nvidia’s newer Vera Rubin generation. OpenAI says a second-generation chip is already nearing tape-out, while work on a third generation has begun. 11. The top 10 most active options today by contracts traded were $NVDA with 1.8M contracts, $TSLA with 1.8M contracts, $AAPL with 636K contracts, $SPCX with 548K contracts, $INTC with 540K contracts, $AMZN with 498K contracts, $MU with 483K contracts, $AMD with 403K contracts, $PLTR with 361K contracts, and $SOFI with 359K contracts. 12. Raymond James raised its Nvidia $NVDA price target to $352 from $330 and reiterated a Strong Buy rating. The firm says Nvidia’s CPU opportunity is becoming more important, especially for agentic AI workloads, even though CPUs are only about 3% of sales today. Raymond James expects CPU revenue to reach roughly 5% of total revenue by CY28 and believes Nvidia could potentially become the world leader in CPU revenue within several years. The firm also argued the stock remains inexpensive, trading at less than 15x CY27 GAAP earnings, below the S&P 500 at 18.6x, despite sales and net income growth still expected to exceed 20% in CY28. Its new $352 target is based on a 22x multiple on CY28 estimates, which Raymond James views as conservative given Nvidia’s leadership, CUDA moat, GPU performance, free cash flow, and history of trading at much higher multiples. WALL STREET IS THE GREATEST SHOW ON EARTH.

    4.7K279102192.6M viewsView on X
  • Aug 14, 20262.9x their median

    SAUDI INVESTMENT FUND DISCLOSES THEIR LARGEST BUY IN Q2: 154M SHARES OF SPACEX $SPCX, NOW 65% OF THE FUND $25B position…makes sense to be honest. The Saudis don’t need to trade short term because of oil money so they can hold long and they love Elon, MBS has said many times he wants him to expand Tesla into the region. This could be a position they hold on to for a very long time as SpaceX continues to become of the largest AI infrastructure plays in the world.

    4.2K39619765388K viewsView on X
  • Sep 10, 20262.8x their median

    TRUMP: IF THE REPUBLICANS WIN THE HOUSE AND THE SENATE IN THE MIDTERMS, I WILL ISSUE A $5000 PAYMENT TO EVERY ADULT IN THE UNITED STATES. https://t.co/PlYN82WMGi

    3.6K184763193751K viewsView on X
  • Aug 24, 20262.5x their median

    LEGENDARY INVESTOR STANLEY DRUCKENMILLER JUST WROTE AN OP-ED FOR THE WSJ ABOUT BOND YIELDS. He is not happy with what the Treasury is doing, thinks that it’s effectively a gimmick, and wants the Bond Market to freely determine where yields should go. His op-ed summarized below: - The Treasury’s decision to double long-dated bond buybacks from $2B to at least $4B per operation looks less like liquidity management and more like an effort to push down long-term yields after the 30-year yield reached a 19-year high. - There was no clear market dysfunction forcing intervention. Auctions were functioning, volatility was contained, and trading remained orderly. With inflation still above target, unemployment near full employment, deficits around 6% of GDP, and debt above $40T, higher yields can be viewed as the market pricing fiscal risk appropriately. - Suppressing those yields risks weakening one of the few remaining forms of fiscal discipline on Washington. Lower borrowing costs reduce the pressure to deal with deficits, entitlement spending, and the broader debt trajectory. - Buying long-duration Treasuries while funding the purchases with short-term bills effectively removes duration risk from the market, making it resemble a small form of quantitative easing conducted by Treasury rather than the Fed. The concern is that once markets believe officials are defending a certain yield level, they may keep testing that commitment. - The better solution is to let the bond market set the price of government borrowing and address the underlying fiscal problem directly: reduce the primary deficit, reform entitlements gradually, and manage debt more responsibly. Liquidity tools can delay a fiscal problem, but they can’t solve it. These yields are becoming an issue. When someone like Drucks has to write an op-ed, you know he’s getting annoyed. Either we cut back on spending and get fiscal policy in order (no party will do that) or we end the Iran war to get yields down. If we don’t do either, this problem isn’t going away.

    3.5K41021861371K viewsView on X
  • Sep 14, 20262.5x their median

    TRUMP: ANYONE CALLING FOR A SLOWDOWN OF AI IS A TRAITOR, THEY WILL LET CHINA WIN well, the President is making it clear about his opinion on all of this AI drama https://t.co/t07QXTaoxb

    3.6K25222161302K viewsView on X
  • Sep 12, 20262.4x their median

    have been gone all day come home to X and see that all the tech leaders woke up this morning at the same time and decided to tell us that the trillions of investment into AI we’ve made will lead to the end of humanity can they please fix the auto-email complete feature before they stop progress because right now AI can’t even respond to basic emails so that’d be nice before humanity is destroyed

    3.6K11223415231K viewsView on X

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

#aipcon

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 1.7K interactions against 674K followers, an engagement rate of 0.25%. Measured over 56 original posts, its engagement rate beats 84% of 20,444 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 164K times each, and 1.02% of those impressions turn into an interaction. That is about 24.3% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.1 posts a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 16:00 UTC, and Monday is the busiest day of the week. Of the 56 posts sampled, 52% carry an image or video. The account's strongest tracked post pulled 28K interactions, about 17x its own typical post.

What is amit's engagement rate on X?
amit (@amitisinvesting) has an engagement rate of 0.25%, based on the median interactions across 56 original posts from the last 30 days against 673,555 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.25%, amit sits above the 50th percentile of the 204,798 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 @amitisinvesting have real engagement?
Its engagement rate beats 84% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the top 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 @amitisinvesting post?
Most posts go out around 16:00 UTC, and Monday is its busiest day, at roughly 2.07 posts per day across the measured window.

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