Hugging Face engagement report
@huggingface - 769K followers on X
Measured over 7 original posts from a 30-day window, last computed on August 31, 2026.
Engagement
Early reading. We have captured 7 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.
A typical post picks up 556 interactions against 769K followers, an engagement rate of 0.072%. Posts are seen about 83K times each, and 0.673% of those impressions turn into an interaction. That is about 10.7% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.8 posts a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 11:00 UTC, and Thursday is the busiest day of the week. Of the 7 posts sampled, 57% carry an image or video and 43% link out. The account's strongest tracked post pulled 18K interactions, about 33x its own typical post. Only 7 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.
Measured over 7 original posts from a 30-day window, last computed on August 31, 2026.
Where this sits in the catalog
At 0.072%, Hugging Face sits above the 25th percentile of the 41,810 accounts in this comparison. That places it in the below the median band, which runs 0.013% to 0.083%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.013% |
| 50th percentile | 0.083% |
| 75th percentile | 0.447% |
| 90th percentile | 2.08% |
| 99th percentile | 143.1% |
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 11:00 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% | 58K |
| 01:00 UTC | -2% | 59K |
| 02:00 UTC | -3% | 58K |
| 03:00 UTC | -4% | 62K |
| 04:00 UTC | -6% | 50K |
| 05:00 UTC | -5% | 48K |
| 06:00 UTC | -5% | 56K |
| 07:00 UTC | -4% | 60K |
| 08:00 UTC | -4% | 70K |
| 09:00 UTC | -4% | 81K |
| 10:00 UTC | -3% | 83K |
| 11:00 UTC | -3% | 91K |
| 12:00 UTC | -2% | 100K |
| 13:00 UTC | -2% | 109K |
| 14:00 UTC | -3% | 112K |
| 15:00 UTC | -2% | 116K |
| 16:00 UTC | -4% | 113K |
| 17:00 UTC | -3% | 105K |
| 18:00 UTC | -2% | 98K |
| 19:00 UTC | -2% | 92K |
| 20:00 UTC | -1% | 86K |
| 21:00 UTC | -1% | 76K |
| 22:00 UTC | -2% | 66K |
| 23:00 UTC | -1% | 59K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 255K |
| Monday | +1% | 328K |
| Tuesday | -2% | 353K |
| Wednesday | -4% | 317K |
| Thursday | -2% | 269K |
| Friday | -3% | 276K |
| Saturday | +3% | 249K |
Best tweets
- Aug 13, 202633x their median
We’re launching DeepSeek-V4-Pro today! 🚀 🔷 Major Agent upgrades with strong production gains! 🔷 Flexible reasoning effort for V4-Pro & V4-Flash: low for simple tasks, high for daily Agent workflows, max for complex tasks. 🔷 Native OpenAI Responses API support, optimized for Codex with one-click setup. V4 Pro is now available on app/web. Try it via “Expert Mode”. V4 Pro is also available via API. Model names remain unchanged—please refer to the API docs for setup details.
- Apr 29, 20263.1x their median
🤗🤗🤗introducing Hugging Science -- the home of AI for science 🤗🤗🤗 open models and datasets are the powerhouse of science (see the PDB), but finding the models and data you actually need for your breakthrough is hard af you shouldn't need to scrape arxiv, own your own wetlab, fight a custom HDF5 parser, build a fusion stellarator, and beg for compute before you've trained a single epoch so we're changing that we've put all the best science on @huggingface in one place: - 78GB of genomics data - 11TB of PDE simulations - 100M cell profiles - 9T DNA base pairs - 13M molecular trajectories - 400k medical QA pairs and much more, all open, and all ready for training (+ you can also now filter and search by domain, task, and keyword) we've put together all the biggest releases from our partners at NASA, Google, OpenAI, Meta FAIR, Arc Institute, Ginkgo, SandboxAQ, Proxima Fusion, NVIDIA, Ai2, OpenADMET, InstaDeep, Future House, Polymathic AI, LeMaterial, Earth Species Project, Merck, and Eve Bio if you're not sure where you fit in -- work on open challenges for problems that matter: including fusion stellarator design, ADMET, antibody developability, multilingual medicine, catalysis and materials, and scientific reasoning. we're already changing how science gets done: a fusion startup needed a benchmark for stellarator plasma confinement that didn't exist. @proximafusion shipped ConStellaration on Hugging Science: a leaderboard, dataset, and eval metrics, all in one place. a drug discovery team wanted to predict hPXR induction. OpenADMET put up a blind challenge: 11,000+ compounds assayed at Octant, 513 held out, two tracks (pEC50 + structure). Anyone in the world can train and submit. an antibody team at @Ginkgo released GDPa1, a developability dataset for stability, manufacturability, and immunogenicity prediction, with a live leaderboard scoring every submission. if you know a problem the ML community should be working on, let us know. make a challenge! this is about putting all the tools for solving science in one place. so we can hillclimb! → https://t.co/T4l4r1lDz0
- Aug 18, 20262.3x their median
We've just surpassed 3 million models on the Hub 🤗 the community is accelerating towards an open, distributed future where open AI is everywhere, for everyone 🚀 https://t.co/AP2SDXISVm
- Aug 11, 20261.6x their median
McByte shipped in trackers 2.6.0 similar to ByteTrack, but association is guided by segmentation masks (SAM + Cutie), not just boxes when players overlap and box IoU gets ambiguous, masks settle who is who here it is side by side with OC-SORT link: https://t.co/9Fam5U1zuC https://t.co/y6JJnmVVg9
- Jul 19, 2026
Text no longer retained for this post.
- Aug 13, 2026
LET'S GO https://t.co/d3ZJHcSb7u
- Aug 14, 2026
The State of Open Models, Summer 2026 ☀️ frontier models are getting larger, but small models still dominate real-world usage. Qwen leads local inference, followed by Gemma. AI agents are becoming a major force on the Hub Full picture on the blog 🤗 https://t.co/u2DgvjEKkH
- Aug 12, 2026
Qwen 3.8 27b is being released at 11:00AM EST on Wednesday Folks are lined up for miles to see what this fancy new model is capable of https://t.co/UJSzbIwKhp
- Aug 27, 2026
RT @natlungfy: It's the Raspberry Pi/Lego Mindstorms of the AI era. Hugging Face's $400 singing bipedal robot can be taught new tricks us…
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 556 interactions against 769K followers, an engagement rate of 0.072%. Posts are seen about 83K times each, and 0.673% of those impressions turn into an interaction. That is about 10.7% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.8 posts a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 11:00 UTC, and Thursday is the busiest day of the week. Of the 7 posts sampled, 57% carry an image or video and 43% link out. The account's strongest tracked post pulled 18K interactions, about 33x its own typical post. Only 7 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.
- What is Hugging Face's engagement rate on X?
- Hugging Face (@huggingface) has an engagement rate of 0.072%, based on the median interactions across 7 original posts from the last 30 days against 769,144 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.072%, Hugging Face sits above the 25th percentile of the 41,810 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 @huggingface have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @huggingface post?
- Most posts go out around 11:00 UTC, and Thursday is its busiest day, at roughly 2.8 posts per day across the measured window.