Warren Whitlock engagement report
@WarrenWhitlock - 447K followers on X
Measured over 24 original posts from a 30-day window, last computed on August 29, 2026.
Engagement
A typical post picks up 46 interactions against 447K followers, an engagement rate of 0.01%. Measured over 24 original posts, its engagement rate beats 30% of 3,899 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 4.0K times each, and 1.16% of those impressions turn into an interaction. That is about 0.895% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 18:00 UTC, and Thursday is the busiest day of the week. Of the 24 posts sampled, 58% carry an image or video and 21% link out. The account's strongest tracked post pulled 5.4K interactions, about 117x its own typical post. Recurring topics include #ageing, #antiageing, #healthspan.
Measured over 24 original posts from a 30-day window, last computed on August 29, 2026. Recurring tags: #ageing, #antiageing, #healthspan.
Compared with accounts its own size
Warren Whitlock's engagement rate beats 30% of the tracked X accounts closest to it in follower count (3,899 accounts, accounts of similar size (decile 7 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 55% 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 0.01%, Warren Whitlock sits above the 10th percentile of the 37,856 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.012%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.012% |
| 50th percentile | 0.081% |
| 75th percentile | 0.439% |
| 90th percentile | 2.10% |
| 99th percentile | 155.6% |
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 18:00 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% | 53K |
| 01:00 UTC | -2% | 53K |
| 02:00 UTC | -3% | 52K |
| 03:00 UTC | -4% | 55K |
| 04:00 UTC | -6% | 44K |
| 05:00 UTC | -4% | 43K |
| 06:00 UTC | -4% | 50K |
| 07:00 UTC | -5% | 54K |
| 08:00 UTC | -4% | 63K |
| 09:00 UTC | -3% | 72K |
| 10:00 UTC | -2% | 75K |
| 11:00 UTC | -3% | 81K |
| 12:00 UTC | -2% | 90K |
| 13:00 UTC | -2% | 98K |
| 14:00 UTC | -3% | 101K |
| 15:00 UTC | -2% | 105K |
| 16:00 UTC | -4% | 102K |
| 17:00 UTC | -3% | 95K |
| 18:00 UTC | -1% | 88K |
| 19:00 UTC | -2% | 83K |
| 20:00 UTC | -1% | 77K |
| 21:00 UTC | -1% | 69K |
| 22:00 UTC | -2% | 60K |
| 23:00 UTC | -2% | 53K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 238K |
| Monday | 0% | 302K |
| Tuesday | -3% | 302K |
| Wednesday | -1% | 257K |
| Thursday | -2% | 250K |
| Friday | -3% | 259K |
| Saturday | +3% | 233K |
Best tweets
- Aug 20, 2026117x their median
Bitcoin is up +$10,000 since Jim Cramer said he is selling all his BTC. https://t.co/OP4j4vkRt9
- Aug 25, 202670x their median
Apple is no longer hiding it. These machines are built for local AI. Apple unveiled the new Mac Mini with M6 their first 2nm chip. Starting at $899. What you can run on the $899 Mac Mini (32GB) 👇 → Qwen 3.6 27B : fits comfortably, near-GPT-4 quality → Qwen 3 Coder 32B : full coding assistant on your desk → Llama 4 8B at full precision → DeepSeek R1 32B for reasoning tasks → 13.5x faster LLM processing than M1. 4x faster than M4. What you can run on the Mac Studio with M5 Ultra (512GB) 👇 → Llama 4 70B at high quality quantization → DeepSeek V4 with hundreds of billions of parameters → Frontier-scale models entirely in local memory → Connect four Mac Studios over Thunderbolt 5 cluster them to run trillion-parameter models locally Apple said their Mac business grew 30% last quarter largely because people are buying these to run AI models on their own desks instead of paying for cloud tokens. The future of inference is local. Apple built the hardware for it.
- Aug 20, 20269.7x their median
AI is going to lead to abundance. No one will have to work. All our needs will be met. But there will be a brutal transition period in between when AI is good enough to replace millions of workers but not advanced enough to provide abundance. What we need to do is accelerate AI development as quick as possible so the transition period is short. In the meantime we need robust government safety net programs for workers who are displaced. AI is inevitable. Don't fight the wave, just enjoy the ride.
- Aug 26, 20267.0x their median
This San Francisco robot can “see” you even if you are standing behind it thanks to a new array microphone that @lightberry and built. As soon as you open your mouth that is. It can recognize you speaking to it. And can track a variety of people standing around the robot. Like if one was in your kitchen sitting a dinner party. They did that to serve its real goal, to have its robot have the most interesting personalities. @aliattar and team introduced me to Lumi. You can order now for $40,000: https://t.co/M1MBgFJBli Why so expensive? We cover that in the video.
- Aug 20, 20265.9x their median
Excited to announce the launch of Cyberscan - Prem's proprietary security agent for vulnerability detection built in partnership with @ArkLabsHQ and the @Breez_Tech Powered exclusively by open-source models like Kimi-K3, Qwen-3.8-Max and more, Cyberscan has helped over 20 teams find mission critical vulnerabilities in their codebases, preventing massive liabilities. Starting Today, Cyberscan is available for public access (link below) with $25 in free-credits for new users. Login with your github, connect a repo and it takes care of the rest - surfacing vulnerabilities that you definitely might have missed out.
- Aug 24, 20264.0x their median
Another word the Singularity needs: thread line n. /THRED line/ A queue for scarce GPU compute created by blocking new AI data center construction. The 20th century had bread lines. The 21st may have thread lines. When demand for intelligence grows faster than the infrastructure that produces it, compute gets rationed: longer queues, higher prices, smaller allocations, slower science, fewer experiments, less access. And unlike a natural shortage, a thread line can be entirely self-inflicted. Ban the power plants. Block the substations. Stop the data centers. Then act surprised when there isn’t enough compute to go around. The irony is that digital intelligence feels immaterial right up until you run out of the very physical infrastructure required to make it. Bread lines rationed calories. Thread lines ration intelligence.
- Aug 25, 20263.5x their median
POV: China getting ready while we're renaming lake Ontario to lake America to hurt our enemies 🤦🤡 https://t.co/HZubAFdKTG
- Aug 20, 20263.3x their median
i genuinely don’t remember the last time tech moved this fast. every few days there’s another model, another agent, another open-weight release that would’ve been a headline by itself a few months ago. and this is all happening in august. - Grok 4.6 + Grok Bot - Qwen3.8 Max + 27B weights - Meta Muse Glimmer 30B - DeepSeek V4 Pro - GLM-5.3 - Cursor Origin HML.M - Gemini 3.7 Flash - GPT-5.6 Cyber - Muse Spark 1.2 we are basically in the season of open weights and agents. the insane part is we’re not even through the third week. Grok 4.7 and Fable 5.1 are expected in early September, with Astra from OpenAI too. may this never end (AMEN)
- Aug 25, 20262.3x their median
The difference between humanoid robots walking up stairs in 2026 vs 2015. Not enough credit given to @adcock_brett and team for that video. Left - Figure AI Robot (2026) Right - KAIST DRC HUBO Robot (2015) Both state-of-the-art robots of their time. Realtime playback speed. https://t.co/8lKgwFqp6f
- Aug 20, 20262.2x their median
The singularity is usually defined as a hypothetical future threshold beyond which technological change becomes too rapid and transformative for ordinary prediction. Awe is the emotion that arrives whenever reality crosses such a threshold locally: whenever an experience outruns the model observing it. The two share an architecture: vastness → model failure → accommodation → expanded possibility This is what I mean by the awe singularity: the moment possibility becomes too large for the identity that had organized itself around limitation.
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 46 interactions against 447K followers, an engagement rate of 0.01%. Measured over 24 original posts, its engagement rate beats 30% of 3,899 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 4.0K times each, and 1.16% of those impressions turn into an interaction. That is about 0.895% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 18:00 UTC, and Thursday is the busiest day of the week. Of the 24 posts sampled, 58% carry an image or video and 21% link out. The account's strongest tracked post pulled 5.4K interactions, about 117x its own typical post. Recurring topics include #ageing, #antiageing, #healthspan.
- What is Warren Whitlock's engagement rate on X?
- Warren Whitlock (@WarrenWhitlock) has an engagement rate of 0.01%, based on the median interactions across 24 original posts from the last 30 days against 446,512 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.01%, Warren Whitlock sits above the 10th percentile of the 37,856 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 @WarrenWhitlock have real engagement?
- Its engagement rate beats 30% of the tracked X accounts closest to it in follower count (3,899 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 @WarrenWhitlock post?
- Most posts go out around 18:00 UTC, and Thursday is its busiest day, at roughly 1.87 posts per day across the measured window.