Hasan Toor engagement report
@hasantoxr - 437K followers on X
Measured over 20 original posts from a 30-day window, last computed on August 30, 2026.
Engagement
A typical post picks up 51 interactions against 437K followers, an engagement rate of 0.012%. Measured over 20 original posts, its engagement rate beats 33% of 3,758 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 16K times each, and 0.31% of those impressions turn into an interaction. That is about 3.76% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.2 posts a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 14:00 UTC, and Thursday is the busiest day of the week. Of the 20 posts sampled, 90% carry an image or video, 5% are part of a thread and 45% link out. The account's strongest tracked post pulled 1.1K interactions, about 21x its own typical post. Recurring topics include #3d, #genai, #lux3d.
Measured over 20 original posts from a 30-day window, last computed on August 30, 2026. Recurring tags: #3d, #genai, #lux3d.
Compared with accounts its own size
Hasan Toor's engagement rate beats 33% of the tracked X accounts closest to it in follower count (3,758 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 24% 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 0.012%, Hasan Toor sits above the 10th percentile of the 36,521 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 | 0.08% |
| 75th percentile | 0.434% |
| 90th percentile | 2.10% |
| 99th percentile | 160.7% |
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 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% | 50K |
| 01:00 UTC | -2% | 51K |
| 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% | 60K |
| 09:00 UTC | -3% | 69K |
| 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% | 100K |
| 16:00 UTC | -3% | 97K |
| 17:00 UTC | -2% | 90K |
| 18:00 UTC | -1% | 84K |
| 19:00 UTC | -2% | 79K |
| 20:00 UTC | -1% | 74K |
| 21:00 UTC | -1% | 66K |
| 22:00 UTC | -2% | 57K |
| 23:00 UTC | -2% | 51K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +4% | 230K |
| Monday | 0% | 286K |
| Tuesday | -2% | 276K |
| Wednesday | -1% | 251K |
| Thursday | -1% | 244K |
| Friday | -3% | 252K |
| Saturday | +3% | 227K |
Best tweets
- 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
- Jun 16, 202620x 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:
- Aug 29, 20264.5x their median
What does it look like when AI learns to land a rocket? PRAXIST coordinates a team of Research Peers, each taking on a different part of the problem. Together, they learn across experiments and turn accumulated evidence into a validated, production-ready solution. See it in action🚀
- Aug 26, 20262.1x their median
🎉 Voiskey is now featured on Google Play. Speak naturally — Voiskey polishes your words to fit the moment. Sign up today and get 1 month of Premium free. Available on all platforms 👇 Android · iOS · Windows · Mac https://t.co/OFXEJmtGhy https://t.co/XtPxFBE1Tu
- Aug 26, 20262.0x their median
AI agents have gotten genuinely good at the work itself. The harder problem: getting multiple agents to work well with a team — and with each other. Today we're introducing AgentConnect: the open-source, self-hosted, multi-agent alternative to Claude Tag. Teams and agents working together across Slack, Telegram, Discord, GitHub, and GitLab. https://t.co/qf2pl4u3EY
- Aug 30, 20261.9x their median
PRAXIST on stage at Ai4. Earlier this month, our co-founder @wcwilliamchen shared the thinking behind PRAXIST and our approach to the next generation of autonomous R&D. A few moments from the presentation. https://t.co/HUYcsrfkfo
- Aug 27, 20261.7x their median
Say hello to Lux3D 👋 Manycore Tech's new 3D generative model. See it deliver: ⚡ 3D generation in as little as 20s 🎨 High-quality materials and textures ⚙️ Cost-efficient batch creation with Harness Mode Learn more: https://t.co/NCyQFDvlaK #Lux3D #GenAI #3D #ManycoreTech https://t.co/8IrYH13q0O
- Aug 29, 20261.5x their median
Unsloth did it again. They just made a model that rivals Claude Opus 4.8 runnable on a workstation. GLM-5.3-Flash (ox-alpha) rivals Opus 4.8 on DeepSWE, coding and agentic benchmarks per Unsloth's own testing. They released it as GGUF quants using their dynamic imatrix method. A full frontier-scale model won't fit in consumer memory at full precision. Naive quantization tanks quality on exactly the tasks you care about: coding and long agentic runs. Unsloth's dynamic quants keep the sensitive layers at higher bit-width and compress the rest harder. That's how a 3-bit build runs on 128GB RAM and a 1-bit build on 100GB while holding up on benchmarks. One line to serve it locally with an OpenAI-compatible API: llama serve -hf unsloth/GLM-5.3-Flash-GGUF:UD-Q4_K_XL Works with llama.cpp, Ollama, LM Studio, Jan, vLLM, SGLang. Repo: https://t.co/REbCPgmlK3 Guide: https://t.co/EoeoKzavVU
- Aug 25, 2026
So, @yahav_ohana and @ShayFrektman from @jfrog just released a free tool that cuts the cost of running coding agents like Claude Code and Cursor by 13.5%. It's called Boost and it's a CLI you install in one line and plugs into every major coding agent without a single workflow change. This is like Cloudflare for AI agent token bills. Here's how it works:
- Aug 27, 2026
DIT AI puts 50+ models behind one OpenAI-compatible API and routes every call to the cheapest qualified provider. Same models. No rebuild. Often 30-70% cheaper. If API spend is a real COGS line, this changes the math. Here's how it works: ↓ https://t.co/CVFYteDvkK
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.
Buy or sell X accounts - escrow-protected
PlayerSells is an escrow marketplace for X accounts. Every deal is protected, with no middleman risk.
Reading these numbers
A typical post picks up 51 interactions against 437K followers, an engagement rate of 0.012%. Measured over 20 original posts, its engagement rate beats 33% of 3,758 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 16K times each, and 0.31% of those impressions turn into an interaction. That is about 3.76% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.2 posts a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 14:00 UTC, and Thursday is the busiest day of the week. Of the 20 posts sampled, 90% carry an image or video, 5% are part of a thread and 45% link out. The account's strongest tracked post pulled 1.1K interactions, about 21x its own typical post. Recurring topics include #3d, #genai, #lux3d.
- What is Hasan Toor's engagement rate on X?
- Hasan Toor (@hasantoxr) has an engagement rate of 0.012%, based on the median interactions across 20 original posts from the last 30 days against 437,304 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.012%, Hasan Toor sits above the 10th percentile of the 36,521 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 33% of the tracked X accounts closest to it in follower count (3,758 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 Thursday is its busiest day, at roughly 2.17 posts per day across the measured window.