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Ian Goodfellow engagement report

@goodfellow_ian - 378K followers on X

Measured over 3 original posts from a 30-day window, last computed on September 1, 2026.

Engagement

Per follower
0.065%
of 378K followers
Per impression
0.788%
31K views on a typical post
Reach
8.25%
of its followers see a post
Typical post
246
interactions (median)
Saved
0.045%
14 bookmarks on a typical post
Posting rate
0.13/day
active 10% of days
Peak time
11:00 UTC
Monday

Early reading. We have captured 3 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 246 interactions against 378K followers, an engagement rate of 0.065%. Posts are seen about 31K times each, and 0.788% of those impressions turn into an interaction. That is about 8.25% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.13 posts a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 11:00 UTC, and Monday is the busiest day of the week. Of the 3 posts sampled, 33% carry an image or video and 67% link out. The account's strongest tracked post pulled 4.8K interactions, about 19x its own typical post. Only 3 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 3 original posts from a 30-day window, last computed on September 1, 2026.

Where this sits in the catalog

At 0.065%, Ian Goodfellow sits above the 25th percentile of the 37,071 accounts in this comparison. That places it in the below the median band, which runs 0.012% to 0.08%.

p100.002%
p250.012%
p50 (median)0.08%
p750.435%
p902.10%
p99158.3%
Engagement rate as a share of followers, across the 37,071 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 105,527 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.002%
25th percentile0.012%
50th percentile0.08%
75th percentile0.435%
90th percentile2.10%
99th percentile158.3%

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 Monday 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.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 11:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 11:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%51K
01:00 UTC-2%52K
02:00 UTC-3%51K
03:00 UTC-4%54K
04:00 UTC-6%44K
05:00 UTC-4%42K
06:00 UTC-4%49K
07:00 UTC-5%53K
08:00 UTC-4%61K
09:00 UTC-3%71K
10:00 UTC-2%73K
11:00 UTC-3%80K
12:00 UTC-2%88K
13:00 UTC-2%96K
14:00 UTC-4%99K
15:00 UTC-2%103K
16:00 UTC-3%100K
17:00 UTC-2%92K
18:00 UTC-1%86K
19:00 UTC-2%81K
20:00 UTC-1%75K
21:00 UTC-1%67K
22:00 UTC-1%58K
23:00 UTC-1%52K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Monday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%234K
Monday0%294K
Tuesday-3%288K
Wednesday-1%253K
Thursday-2%247K
Friday-3%256K
Saturday+3%230K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Oct 16, 202519x their median

    We’re announcing a research collaboration with @CFS_energy, one of the world’s leading nuclear fusion companies. Together, we’re helping speed up the development of clean, safe, limitless fusion power with AI. ⚛️ https://t.co/5gDqP3WiNe

    3.9K593871821.6M viewsView on X
  • Nov 18, 202514x their median

    Amazing test of Gemini 3’s multimodal reasoning capabilities: try generating a threejs voxel art scene using only an image as input Prompt: I have provided an image. Code a beautiful voxel art scene inspired by this image. Write threejs code as a single-page

    2.9K2519362435K viewsView on X
  • Feb 23, 202612x their median

    I'd like to thank @daniel_rossett for his help in my recovery from the POTS version of Long COVID. Daniel was key in bringing me back from highly disabled and suffering to being able to do what I want to again. This X account is mostly focused on ML / AI. From that point of view, many of you know that in December 2024, I wasn't able to do the test of time award talk at NeurIPS, even by video call. Daniel started working with me in March 2025. By April, I started to have days of no POTS symptoms, by June I was off all heart rate lowering medications, by September I was back to work. I'm back to full exercise, running, lifting weights, mountain biking, and have even done things I hadn't done before I got sick, like riding Whistler Mountain Bike Park. I'm now getting the word out to help Daniel build a company that will bring this approach to more people.

    2.7K8017025210K viewsView on X
  • Nov 24, 20247.6x their median

    Posting a call for help: does anyone know of a good way to simultaneously treat both POTS and Ménière’s disease? Please contact me if you’re either a clinician with experience doing this or a patient who has found a good solution. Context in thread

    1.4K32013740371K viewsView on X
  • Oct 1, 20256.1x their median

    We raised $28M seed from Threshold Ventures, AIX Ventures, and NVentures (Nvidia's venture capital arm) —alongside 10+ unicorn founders and top AI researchers— to build reasoning models that generate real-time simulations and games. Models are bottlenecked by practical simulations that can act as Reinforcement Learning environments. Human self-expression is bounded by tools that let us create alternate realities. At Moonlake, we are building a future where anyone can create interactive worlds, bring their child-like wonder to life, learn within them, and most importantly, share experiences with people we care about. More in 🧵

    1.1K1881191001.1M viewsView on X
  • Aug 14, 20255.4x their median

    Introducing ❄️ @snowglobe_so, the simulation engine for AI chatbots. Magically simulate the behavior of your users to test and improve your chatbots. Find failures before your users do. https://t.co/ml4iwrfaiR

    1.0K9511666573K viewsView on X
  • Mar 6, 20264.9x their median

    https://t.co/vHXbGcwESD

    9731542450536K viewsView on X
  • Dec 3, 20244.6x their median

    Very happy to hear that GANs are getting the test of time award at NeurIPS 2024. The NeurIPS test of time awards are given to papers which have stood the test of the time for a decade. I took some time to reminisce how GANs came about and how AI has evolve in the last decade.

    9681161735220K viewsView on X
  • Dec 13, 20244.4x their median

    Today GANs got 1 of 2 test of time awards at @NeurIPSConf . Many thanks to my co-author @dwf for preparing and presenting the talk. It’s no easy task to summarize 85k papers in 12 minutes

    1.0K3318299K viewsView on X
  • Apr 9, 20264.4x their median

    After almost 12 years in Brain/DeepMind, I’ve finally decided to take the leap. My cofounders: @yinfeiy, Seth and I have kicked-off @ElorianAI. The first multimodal reasoning lab founded and led by former LLM pretraining, data and multimodal leads. https://t.co/XHcEtvl9F9 (1/n)

    860858150418K viewsView on X

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 246 interactions against 378K followers, an engagement rate of 0.065%. Posts are seen about 31K times each, and 0.788% of those impressions turn into an interaction. That is about 8.25% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.13 posts a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 11:00 UTC, and Monday is the busiest day of the week. Of the 3 posts sampled, 33% carry an image or video and 67% link out. The account's strongest tracked post pulled 4.8K interactions, about 19x its own typical post. Only 3 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 Ian Goodfellow's engagement rate on X?
Ian Goodfellow (@goodfellow_ian) has an engagement rate of 0.065%, based on the median interactions across 3 original posts from the last 30 days against 378,256 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.065%, Ian Goodfellow sits above the 25th percentile of the 37,071 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 @goodfellow_ian have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @goodfellow_ian post?
Most posts go out around 11:00 UTC, and Monday is its busiest day, at roughly 0.13 posts per day across the measured window.

Keep going

Ian Goodfellow (@goodfellow_ian) Engagement Rate - 0.065% | PlayerSells