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Mira Murati engagement report

@miramurati - 984K followers on X

Measured over 4 original posts from a 30-day window, last computed on August 27, 2026.

Engagement

Per follower
0.107%
of 984K followers
Per impression
0.349%
294K views on a typical post
Reach
30.8%
of its followers see a post
Typical post
1.0K
interactions (median)
Saved
0.133%
392 bookmarks on a typical post
Posting rate
0.53/day
active 20% of days
Peak time
17:00 UTC
Thursday

Early reading. We have captured 4 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 1.0K interactions against 984K followers, an engagement rate of 0.107%. Posts are seen about 294K times each, and 0.349% of those impressions turn into an interaction. That is about 29.9% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.53 post a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 17:00 UTC, and Thursday is the busiest day of the week. Of the 4 posts sampled, 50% carry an image or video and 50% link out. The account's strongest tracked post pulled 26K interactions, about 25x its own typical post. Only 4 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 4 original posts from a 30-day window, last computed on August 27, 2026.

Where this sits in the catalog

At 0.107%, Mira Murati sits above the 50th percentile of the 36,134 accounts in this comparison. That places it in the above the median band, which runs 0.08% to 0.431%.

p100.002%
p250.012%
p50 (median)0.08%
p750.431%
p902.11%
p99161.6%
Engagement rate as a share of followers, across the 36,134 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 107,713 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 percentile0.431%
90th percentile2.11%
99th percentile161.6%

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 17:00 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.

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: 17:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 17:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%50K
01:00 UTC-2%51K
02:00 UTC-4%49K
03:00 UTC-4%53K
04:00 UTC-6%42K
05:00 UTC-4%41K
06:00 UTC-4%47K
07:00 UTC-5%51K
08:00 UTC-4%60K
09:00 UTC-3%68K
10:00 UTC-2%71K
11:00 UTC-3%77K
12:00 UTC-2%85K
13:00 UTC-2%93K
14:00 UTC-3%96K
15:00 UTC-2%99K
16:00 UTC-3%96K
17:00 UTC-2%89K
18:00 UTC-2%83K
19:00 UTC-2%79K
20:00 UTC-1%73K
21:00 UTC-1%65K
22:00 UTC-1%57K
23:00 UTC-2%51K
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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Thursday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+4%228K
Monday0%281K
Tuesday-2%270K
Wednesday-1%249K
Thursday-2%242K
Friday-3%250K
Saturday+3%225K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Sep 25, 202425x their median

    I shared the following note with the OpenAI team today. https://t.co/nsZ4khI06P

    21K1.8K1.4K1.8K11M viewsView on X
  • Jul 15, 202618x their median

    Today, we are introducing Inkling. Inkling reasons efficiently across text, image, and audio modalities. We are making the full weights available. https://t.co/Ghebq5mG30 Available today for fine-tuning on Tinker. Play with it in the Inkling Playground. 🧵

    15K2.0K5631.2K8.3M viewsView on X
  • Sep 24, 202415x their median

    Advanced Voice is rolling out to all Plus and Team users in the ChatGPT app over the course of the week. While you’ve been patiently waiting, we’ve added Custom Instructions, Memory, five new voices, and improved accents. It can also say “Sorry I’m late” in over 50 languages. https://t.co/APOqqhXtDg

    11K1.9K9921.2K5.3M viewsView on X
  • Feb 18, 202511x their median

    I started Thinking Machines Lab alongside a remarkable team of scientists, engineers, and builders. We're building three things: - Helping people adapt AI systems to work for their specific needs - Developing strong foundations to build more capable AI systems - Fostering a culture of open science that helps the whole field understand and improve these systems Our goal is simple, advance AI by making it broadly useful and understandable through solid foundations, open science, and practical applications. https://t.co/y2Bbl6BKF9

    9.3K8796752661.1M viewsView on X
  • May 11, 202610x their median

    Today we're sharing our work on interaction models. A new class of model trained from scratch to handle real-time interaction natively, instead of gluing it onto a turn-based one. https://t.co/MoS5s4cm60

    9.1K9313482001.3M viewsView on X
  • Sep 10, 20259.3x their median

    Today Thinking Machines Lab is launching our research blog, Connectionism. Our first blog post is “Defeating Nondeterminism in LLM Inference” We believe that science is better when shared. Connectionism will cover topics as varied as our research is: from kernel numerics to prompt engineering. Here we share what we are working on and connect with the research community frequently and openly. The name Connectionism is a throwback to an earlier era of AI; it was the name of the subfield in the 1980s that studied neural networks and their similarity to biological brains. https://t.co/lrJioBmpbT

    7.6K1.2K2314493.5M viewsView on X
  • Jul 15, 20259.0x their median

    Thinking Machines Lab exists to empower humanity through advancing collaborative general intelligence. We're building multimodal AI that works with how you naturally interact with the world - through conversation, through sight, through the messy way we collaborate. We're excited that in the next couple months we’ll be able to share our first product, which will include a significant open source component and be useful for researchers and startups developing custom models. Soon, we’ll also share our best science to help the research community better understand frontier AI systems. To accelerate our progress, we’re happy to confirm that we’ve raised $2B led by a16z with participation from NVIDIA, Accel, ServiceNow, CISCO, AMD, Jane Street and more who share our mission. We’re always looking for extraordinary talent that learns by doing, turning research into useful things. We believe AI should serve as an extension of individual agency and, in the spirit of freedom, be distributed as widely and equitably as possible.  We hope this vision resonates with those who share our commitment to advancing the field. If so, join us. https://t.co/EaAKidpany

    7.7K6746322572.7M viewsView on X
  • Sep 13, 20245.0x their median

    There has been a lot of enthusiasm to try OpenAI o1-preview and o1-mini, and some users hit their rate limits quickly. We reset weekly rate limits for all Plus and Team users so that you can keep experimenting with o1.

    6.8K455473192911K viewsView on X
  • Oct 1, 20257.1x their median

    Introducing Tinker: a flexible API for fine-tuning language models. Write training loops in Python on your laptop; we'll run them on distributed GPUs. Private beta starts today. We can't wait to see what researchers and developers build with cutting-edge open models! https://t.co/tJsgxgBuWo

    5.8K7872403754.2M viewsView on X
  • Feb 18, 20255.8x their median

    Today, we are excited to announce Thinking Machines Lab (https://t.co/Pe0uB8MxVN), an artificial intelligence research and product company. We are scientists, engineers, and builders behind some of the most widely used AI products and libraries, including ChatGPT, https://t.co/CTXVZKNH1c, PyTorch, and Mistral. Our mission is to make artificial intelligence work for you by building a future where everyone has access to the knowledge and tools to make AI serve their unique needs. We are committed to open science through publications and code releases, while focusing on human-AI collaboration that serves diverse domains. Our approach embraces co-design of research and products to enable learning from real-world deployment and rapid iteration. This work requires three core foundations: state-of-the-art model intelligence, high-quality infrastructure, and advanced multimodal capabilities. We are committed to building models at the frontier of capabilities to deliver on this promise. If you’re interested in joining our team, consider applying here: https://t.co/fkT82CRytQ

    5.0K5122942112.1M 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 1.0K interactions against 984K followers, an engagement rate of 0.107%. Posts are seen about 294K times each, and 0.349% of those impressions turn into an interaction. That is about 29.9% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.53 post a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 17:00 UTC, and Thursday is the busiest day of the week. Of the 4 posts sampled, 50% carry an image or video and 50% link out. The account's strongest tracked post pulled 26K interactions, about 25x its own typical post. Only 4 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 Mira Murati's engagement rate on X?
Mira Murati (@miramurati) has an engagement rate of 0.107%, based on the median interactions across 4 original posts from the last 30 days against 983,773 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.107%, Mira Murati sits above the 50th percentile of the 36,134 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 @miramurati have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @miramurati post?
Most posts go out around 17:00 UTC, and Thursday is its busiest day, at roughly 0.53 posts per day across the measured window.

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