Fei-Fei Li engagement report
@drfeifei - 1.0M followers on X
Measured over 2 original posts from a 30-day window, last computed on August 31, 2026.
Engagement
Early reading. We have captured 2 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 1.8K interactions against 1.0M followers, an engagement rate of 0.178%. Posts are seen about 123K times each, and 1.48% of those impressions turn into an interaction. That is about 12.0% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.2 posts a day over the last 30 days, though only 13% of days saw any activity at all. Most posts go out around 20:00 UTC, and Sunday is the busiest day of the week. Of the 2 posts sampled, 50% carry an image or video. The account's strongest tracked post pulled 6.7K interactions, about 3.7x its own typical post. Only 2 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 2 original posts from a 30-day window, last computed on August 31, 2026.
Where this sits in the catalog
At 0.178%, Fei-Fei Li sits above the 50th percentile of the 36,378 accounts in this comparison. That places it in the above the median band, which runs 0.08% to 0.432%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.012% |
| 50th percentile | 0.08% |
| 75th percentile | 0.432% |
| 90th percentile | 2.10% |
| 99th percentile | 161.0% |
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 20:00 UTC, and Sunday 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
- Jun 3, 20263.7x their median
https://t.co/Kt50ttQRMJ
- Jun 10, 20262.0x their median
Scientific research is fundamental to advancing civilization and helping people globally to solve the most critical problems, from medicine to materials, from brain science to physics, and much beyond. This is only possible when scientists have access to the best tools of the time to conduct scientific research, including having access to AI-based tools.
- Aug 23, 20262.0x their median
On this random Sunday afternoon, I just noticed that I have 1M followers on X now. Feels like a big responsibility 🤔❤️
- Apr 14, 20264.1x their median
Spark 2.0 is here! 🚀 We’re redefining what’s possible on the web with a streamable LoD system for 3D Gaussian Splatting. Built on Three.js, you can now stream massive 100M+ splat worlds to any device from mobile to VR using WebGL2. All open-source. Dive into the tech 👇 https://t.co/VOd6V0Wz1s
- Jul 21, 2026
The world is not just made of words, and spatial intelligence was never just about perceiving and generating worlds. It's about interacting with them. Today, SceniX is joining World Labs. 🌎🤖👇 https://t.co/qThtkjgd3f
- Jul 15, 2026
We scaled a robot model natively to 8,000 timesteps of context, 5 minutes worth of muscle memory, with constant inference cost. Robot policies used to live their lives a few frames at a time (< 0.1 sec), instantly forgetting what just happened. We pushed to 3 orders of magnitude beyond SOTA. Introducing RoboTTT. Test-Time Training (“TTT”) carries a tiny model *inside* the model. Every incoming sensor reading triggers one gradient step on that tiny core, so the history keeps getting compressed into its weights. The hidden state has a fixed size (literally a small neural net), so the robot can “grok” arbitrarily long experience with little overhead. Learning continues indefinitely after deployment. We can then put an entire video in context as prompt! RoboTTT enables one-shot in-context learning from human video: in circuit board assembly, a human demonstrates a never-seen configuration once, and the robot imitates it faithfully. Humans drop things all the time, but we pick them up so fast that we don’t even notice. That reflex to fix is half of our physical competence. RoboTTT shows self-improvement on the fly: the robot is skilled at recovering from its own errors mid-episode, and each fix enters its context to inform the next move. The TTT core distills a general-purpose, failure-to-correction mapping from the training data. One more thing. What excites me the most is a new Context Scaling Curve: from 128 to 8K timesteps, closed-loop performance hill-climbs steadily with no sign of saturation. 8K-context pretraining beats 1K by 62%. What LLM enjoys, robotics should too. Soon, even 1M context is not a fantasy. Deep dive in thread:
- May 5, 20262.6x their median
We raised $56M to help build the next era of interactive entertainment. Series B led by @sequoia, Series A led by Sea. Astrocade lets anyone create games with AI, play them with friends, and share them with millions. But this isn’t about replacing creativity. It’s about giving more people the tool to bring their taste, humor, stories, and craft to life. Today, the fun goes public.
- Apr 7, 20262.6x their median
We're excited to be rolling out two model updates today! Marble 1.1: Improves lighting and contrast, with a major reduction in visual artifacts. Marble 1.1-Plus: Our new model built for scale. Create larger, more complex environments than ever before. https://t.co/pslqVXNqFa
- Jul 28, 2026
When SceniX joined World Labs, we said spatial intelligence was never only about perceiving and generating virtual and physical worlds, but also interacting with them. Today, we’re sharing early results from that vision: building worlds that train robots. 🌎🤖↓ https://t.co/U0UKE5nmZN
- May 14, 20261.8x their median
Turn a single image into a fully meshed 3D world in minutes 👀 Built by a World Labs team member, image-blaster combines Marble + Claude skills + @fal to generate 3DGS environments, meshes, interactive physics objects and SFX from one image. learn more + try it yourself ↓ https://t.co/of9C0urgfJ
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 1.8K interactions against 1.0M followers, an engagement rate of 0.178%. Posts are seen about 123K times each, and 1.48% of those impressions turn into an interaction. That is about 12.0% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.2 posts a day over the last 30 days, though only 13% of days saw any activity at all. Most posts go out around 20:00 UTC, and Sunday is the busiest day of the week. Of the 2 posts sampled, 50% carry an image or video. The account's strongest tracked post pulled 6.7K interactions, about 3.7x its own typical post. Only 2 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 Fei-Fei Li's engagement rate on X?
- Fei-Fei Li (@drfeifei) has an engagement rate of 0.178%, based on the median interactions across 2 original posts from the last 30 days against 1,025,712 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.178%, Fei-Fei Li sits above the 50th percentile of the 36,378 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 @drfeifei have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @drfeifei post?
- Most posts go out around 20:00 UTC, and Sunday is its busiest day, at roughly 0.2 posts per day across the measured window.