Gary Black engagement report
@garyblack00 - 584K followers on X
Measured over 29 original posts from a 30-day window, last computed on October 10, 2026.
Engagement
A typical post picks up 102 interactions against 584K followers, an engagement rate of 0.018%. Measured over 29 original posts, its engagement rate beats 42% 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 22K times each, and 0.467% of those impressions turn into an interaction. That is about 3.74% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.6 posts a day over the last 30 days, with activity on roughly 70% of days. Most posts go out around 09:00 UTC, and Friday is the busiest day of the week. Of the 29 posts sampled, 31% carry an image or video, 21% are part of a thread and 10% link out. The account's strongest tracked post pulled 1.1K interactions, about 11x its own typical post.
Measured over 29 original posts from a 30-day window, last computed on October 10, 2026.
Compared with accounts its own size
Gary Black's engagement rate beats 42% 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 29% 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 0.018%, Gary Black sits above the 10th percentile of the 204,694 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 | 0.677% |
| 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 09:00 UTC, and Friday 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 | 31% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 10% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 31% 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.
- 10% 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 996 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
- Jan 27, 202611x their median
Some basic lessons for new investors to live by: 1/ Ignore the crowd. You make money by going against the consensus. 2/ Always pick stocks where you feel you have a research edge. 3/ You rarely go wrong investing in the company with the best product. 4/ Don’t listen to management. They are paid to be bullish. 5/ Study competitors, suppliers, and customer behavior. Be a product junkie. 6/ Have in your mind what you think a stock is worth, which is different from price. 7/ Be able to articulate in one sentence why you own a stock. 8/ Develop specific downside scenarios that would cause you to sell the stock. 9/ The highest quality of growth is unit growth, then pricing, then margin expansion, then cash reinvestment. 10/ Be wary of companies that grow by buying other companies. 11/ Sell discipline is selling a stock once it exceeds your price target, or if your investment thesis changes. 12/ Short stocks that have bad businesses, and not because they trade at high P/Es. 13/ Two big value creators are brand extension and TAM expansion stories. 14/ High P/Es are a function of high future growth rates, and not the industry. 15/ When investing in growth stocks always look for a controversy (“fight”). 16/ Buy stocks that can leverage key secular megatrends, and avoid those that will be hurt by them. 17/ Always consider cannibalization of existing products when sizing up new product opportunities. 18/ Be wary of “hockey stick” sales forecasts absent new products or expansion to new distribution channels. 19/ Stock buybacks are accretive if the E/P ratio exceeds the after tax cost of debt or return on cash. 20/ Price cuts rarely add value since they often create a race to the bottom. 21/ Stocks are cheap if price is less than the present value of future cash flows. A high P/E does not make a stock expensive.
- Aug 16, 20266.0x their median
I rarely see $TSLA bulls on X posting on whether TSLA is cheap or expensive. It seems that since they love the products and leadership team they don’t care about the valuation. But at a 2026 P/E of 200x and long-term expected growth of +35%, it will be hard for an investor buying today to make money at TSLA’s current valuation (5.7x PEG; avg Mag 8 stock 2.4x PEG). For those who say valuation doesn’t matter, remember this basic rule of investing: Loving the product doesn’t mean you should love the stock.
- Aug 18, 20265.2x their median
Watching $TSLA bulls on X is like watching a table of college students at a bar whooping it up as they down Tequila shots. As my wife observing them recently said to me: “They think they’re doing something.” And so it is with $TSLA bulls. Despite no evidence the new Cybercab can drive itself flawlessly without safety monitors, bulls are again whooping it up as if TSLA has alone solved for unsupervised autonomy and the Cybercab now drives itself at 99.999% efficacy (1 critical disengagement per 10,000 miles). I fully believe TSLA will be one of the first to solve for generalized (go anywhere) unsupervised autonomy, but so will others ( $GOOG, $BIDU, $AMZN, $WRD, $NVDA). As anyone with an X account can clearly see from the videos where autonomous Teslas still require supervision and disengagement, until @elonmusk puts on the road Cybercabs without safety monitors and scales it to cities not already mapped out, TSLA stock will remain moribund as it has been for the past five years ($TSLA +51%, NDX +98%) despite bulls cheering it on every chance they get.
- Sep 2, 20265.1x their median
Never short a great company that sells at an expensive valuation. $TSLA is a great company with best-in-class technology, leverages key secular megatrends that generate true first movers’ advantage, has a significant manufacturing cost advantage, and is run by a visionary leader who is a magnet for engineering talent. But TSLA trades at an extended valuation (220x forward earnings vs +35% long-term earnings growth), which gives investors reason to not own it, but not a reason to short it. There are plenty of bad companies that have weak products or competitive positions, can’t leverage key secular megatrends, have non-compelling brands, a high cost manufacturing structure, or management teams that can’t execute that I can short instead.
- Sep 3, 20264.8x their median
After most $TSLA events, TSLA stock sells off the next day, because expectations before the event run too high and the actual deliverables don’t match the hype. So far, the Cybercab event tonight (which is actually the second Cybercab launch; the first was October 10, 2024, at Warner Bros. Studios in Burbank, California) is following the same script, with $TSLA +17% over the past month vs NDX flat.
- Sep 5, 20264.7x their median
I’ve said all along that $TSLA would solve for unsupervised autonomy, and with the launch of Cybercab it’s clear they have. My caution has always been that a handful of others would also achieve unsupervised autonomy within 18-24 months and with $GOOG, $BIDU, $PONY, $WRD, and $AMZN now completing over 1 million paid unsupervised autonomous rides per week without safety monitors, that prediction also looks accurate. To be clear, TSLA’s autonomous technology is nothing short of amazing and I believe TSLA robotaxi will continue to expand to markets beyond Austin. Over the next few years, I believe “self-driving” will become the preferred ride option on $UBER and other ride hailing apps, and multiple providers will offer vehicles to fill it. IMHO $TSLA ‘s stock, which finished Friday at a 2026 P/E of 213x and 2027 P/E of 158x, remains extended vs WS’ predictions of +35% long term earnings growth (6.3x and 4.4x PEG respectively). For perspective, the avg Mag 8 stock ex-TSLA trades at a C2026 PEG of 2.7x forward long-term earnings growth. Whether TSLA stock can deliver outperformance after significantly underperforming NDX and SPX year-to-date and over the past one, three, and five years depends on the outcomes to these three questions: 1/ How quickly can TSLA safely scale up Robotaxi so that it becomes a meaningful % of TSLA earnings? 2/ How quickly can competitors repeat what happened in EVs from 2021-2023 and copy TSLA’s autonomous technology such that unsupervised autonomy becomes a commodity? 3/ What is the likely safety profile of TSLA robotaxi as it expands from geofenced Austin to other U.S. cities and to Europe and Asia? Here’s my ask: Rather than $TSLA influencers call me childish names for remaining cautious and so far being right on TSLA stock try answering these three questions. Let’s move the discussion forward.
- Aug 28, 20264.3x their median
Trump has no one to blame but himself for choosing inflation hawk Kevin Warsh as his Fed Chair, whose past economic and policy pronouncements and speeches clearly showed his hawkish leaning pre-selection. Following Warsh’s Jackson Hole speech, the odds of a Fed rate hike in Sept rose from 35% to 57% and odds of a hike by year-end rose from 100% to 146% (1.5 hikes).
- Sep 6, 20264.1x their median
$TSLA has no one but itself to blame for squandering first movers’ advantage in EVs from 2020-2023 and if they use the same play book of allowing the product to speak for itself will squander their first movers’ advantage in unsupervised autonomy in 2026-2027 as well. The appropriate strategy for TSLA is to clearly communicate the benefits of Cybercab/unsupervised autonomy (time saved, drives while you’re tired, safer than human driving, aesthetics) to would be consumers via a limited (~$100 M) advertising spend. This cements TSLA’s autonomous advantage in the minds of consumers once others copy and add autonomous vehicles to their own product offerings. TSLA allowing its technology to speak for itself is a short-term engineering mindset and merely communicates the product benefits to Tesla’s existing customer base, who already are well aware of and are willing buyers of the technology. The goal of advertising is to convey the benefits of an innovation to new consumers who wouldn’t ordinarily consider Tesla in their evoked set of potential automotive brands. A second benefit is the halo effect for safety and advanced driving technology that autonomy establishes for the overall TSLA franchise. TSLA bulls who can’t see these benefits don’t understand why TSLA has underperformed NDX the past 1, 3, and 5 years. The market’s not stupid. With a 200x forward P/E, TSLA needs to deliver better than 35%-40% long term EPS growth to justify that multiple. Absent this level of growth, TSLA stock is likely to continue to underperform.
- Oct 5, 20263.9x their median
If I annualize last week’s $TSLA 3Q delivery beat of 25,000 (487K vs 462K), and estimate by how much annual adj EPS should increase assuming this is a permanent volume boost, I come up with +.15/share, which should be worth roughly $32/share to TSLA stock price. TSLA is up +$23/share since Friday morning so there may be more near-term upside assuming the market is efficient.
- Sep 12, 20263.8x their median
$META remains one of our top 15 positions and next to $GOOG is our 2nd favorite media/comms name. We expect META to continue to post +20% revenue growth and +15%+ EBiTDA growth long-term. META has 3.7B Daily Active People growing at 3-4% per year and avg rev per person (ARPP) growing at 20%+ per year and is uniquely positioned through Instagram, Facebook, and WhatsApp to drive AI-engagement through its user base. At a 2026 P/E of 20.7x vs +15% long term Rev and EPS growth it remains among the cheapest of all Mag 8 stocks.
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 102 interactions against 584K followers, an engagement rate of 0.018%. Measured over 29 original posts, its engagement rate beats 42% 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 22K times each, and 0.467% of those impressions turn into an interaction. That is about 3.74% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.6 posts a day over the last 30 days, with activity on roughly 70% of days. Most posts go out around 09:00 UTC, and Friday is the busiest day of the week. Of the 29 posts sampled, 31% carry an image or video, 21% are part of a thread and 10% link out. The account's strongest tracked post pulled 1.1K interactions, about 11x its own typical post.
- What is Gary Black's engagement rate on X?
- Gary Black (@garyblack00) has an engagement rate of 0.018%, based on the median interactions across 29 original posts from the last 30 days against 584,195 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.018%, Gary Black sits above the 10th percentile of the 204,694 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 @garyblack00 have real engagement?
- Its engagement rate beats 42% 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 @garyblack00 post?
- Most posts go out around 09:00 UTC, and Friday is its busiest day, at roughly 1.57 posts per day across the measured window.