Hasan Toor engagement report
@hasantoxr - 437K followers on X
Measured over 57 original posts from a 30-day window, last computed on September 24, 2026.
Engagement
A typical post picks up 57 interactions against 437K followers, an engagement rate of 0.013%. Measured over 57 original posts, its engagement rate beats 37% 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 14K times each, and 0.411% of those impressions turn into an interaction. That is about 3.18% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 6.3 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 14:00 UTC, and Wednesday is the busiest day of the week. Of the 57 posts sampled, 88% carry an image or video, 16% are part of a thread and 40% link out. The account's strongest tracked post pulled 1.5K interactions, about 26x its own typical post. Recurring topics include #3d, #3ddirectorstudio, #dreamina.
Measured over 57 original posts from a 30-day window, last computed on September 24, 2026. Recurring tags: #3d, #3ddirectorstudio, #dreamina.
Compared with accounts its own size
Hasan Toor's engagement rate beats 37% 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 27% 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 0.013%, Hasan Toor sits above the 10th percentile of the 204,583 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 14:00 UTC, and Wednesday 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 | 88% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 40% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 88% 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.
- 40% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
- Its average post runs 574 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 5, 202626x their median
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- Aug 26, 202621x their median
Grok Bot is the best AI agent right now It gives you an army of agents that can do work for you 24/7 If you set it up correctly, you gain super powers In this article, I cover how to turn Grok Bot into your own Bloomberg Terminal https://t.co/AR17qf56WD
- Sep 8, 202619x their median
Today, we’re announcing Antioch’s $32 million Series A, led by @GreylockVC with participation from @A_StarVC, @Category_VC, @BoxGroup, @IcehouseVenture, and angels. While AI has drastically accelerated software development, physical autonomy has been constrained by slow, expensive hardware-based development. Antioch enables physical AI teams to build, test, and validate systems at the speed of software. We’re proud to be working with leading teams including @amazon @ring, @NVIDIARobotics, and @nebiusai as we make scaled, high-fidelity simulation the standard for physical AI development. Our sincere thanks to the legion of investors, customers, partners, and advisors who are making this step change possible. We’re scaling rapidly and hiring across simulation, infrastructure, machine learning, 3D graphics, go-to-market, and operations.
- Jun 16, 202618x their median
I built a RAG system on my own laptop that never sends a single byte to OpenAI. 100% offline. 100% open source. Here's the entire 6-step build in plain English:
- Sep 4, 202617x their median
https://t.co/OcN6DHfK9g
- Sep 8, 202615x their median
https://t.co/thz5FLXQxB
- Sep 22, 20267.8x their median
I've tested nearly every "AI coding agent" shipping this year. Qoder is the first one that feels like an actual workspace, not a chat window with tools bolted on. Desktop app. You describe a real task, and the agent handles the context, planning, tool use, execution, and verification. You watch it in real time and take over whenever. Qwen3.8-Flash is at 0.0x Credits (free) through Sep 30. Full breakdown 👇
- Sep 23, 20267.2x their median
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- Sep 19, 20265.8x their median
This is the best open source alternative to ElevenLabs and WisprFlow that you can runs 100% on your own machine Clone any voice from a few seconds of audio. Generate speech across 23 languages using 7 different TTS engines. Dictate into any app on your computer with a global hotkey Nothing ever touches the cloud. No API key, no per character billing, no company storing your voice data It also ships a built in MCP server. Any agent you use like Claude Code, Cursor, or Cline can speak to you out loud in a voice you cloned One tool call and your agent has a voice You can bind Claude Code to one voice and Cursor to another so you know exactly which agent is talking without even glancing at your screen Give a voice a personality too. Attach a persona to a profile and a local LLM rewrites anything you type into that character's voice before it speaks Every dictation and recording gets saved automatically with its transcript, so you can replay it, re-transcribe it, or turn any capture into a cloned voice with one click On top of all that: -- Real time audio effects like reverb, pitch shift, and compression -- A multi track editor for building full podcasts and stories -- Unlimited generation length with auto chunking for entire scripts -- Runs native on Mac, Windows, Linux, and even AMD GPUs, built with Tauri not Electron so it's actually fast This is what open source AI is supposed to look like Two paid products, fully replaced, running free forever on hardware you already own If you're still paying for cloud voice cloning or cloud dictation, you're doing it wrong in 2026
- Sep 3, 20265.0x their median
Introducing Respan P-1, the world’s best privacy model. Every AI application handles sensitive data. Existing approaches to protecting it force a tradeoff between accuracy, latency, and cost. We built P-1 to eliminate that tradeoff. P-1 sets a new state of the art for detecting and redacting sensitive information - outperforming existing models across our benchmark while being fast enough to run on every request. Starting today, P-1 powers PII redaction across Respan.
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 57 interactions against 437K followers, an engagement rate of 0.013%. Measured over 57 original posts, its engagement rate beats 37% 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 14K times each, and 0.411% of those impressions turn into an interaction. That is about 3.18% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 6.3 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 14:00 UTC, and Wednesday is the busiest day of the week. Of the 57 posts sampled, 88% carry an image or video, 16% are part of a thread and 40% link out. The account's strongest tracked post pulled 1.5K interactions, about 26x its own typical post. Recurring topics include #3d, #3ddirectorstudio, #dreamina.
- What is Hasan Toor's engagement rate on X?
- Hasan Toor (@hasantoxr) has an engagement rate of 0.013%, based on the median interactions across 57 original posts from the last 30 days against 436,733 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.013%, Hasan Toor sits above the 10th percentile of the 204,583 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 @hasantoxr have real engagement?
- Its engagement rate beats 37% 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 @hasantoxr post?
- Most posts go out around 14:00 UTC, and Wednesday is its busiest day, at roughly 6.3 posts per day across the measured window.