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Tony Fadell engagement report

@tfadell - 289K followers on X

Measured over 1 original post from a 30-day window, last computed on October 22, 2026.

Engagement

Per follower
0.213%
of 289K followers
Per impression
2.42%
25K views on a typical post
Reach
8.80%
of its followers see a post
Typical post
614
interactions (median)
Saved
0.925%
235 bookmarks on a typical post
Posting rate
0.03/day
active 3% of days
Peak time
17:00 UTC
Wednesday

Early reading. We have captured 1 original post 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 614 interactions against 289K followers, an engagement rate of 0.213%. Posts are seen about 25K times each, and 2.42% of those impressions turn into an interaction. That is about 8.80% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.03 posts a day over the last 30 days, though only 3% of days saw any activity at all. Most posts go out around 17:00 UTC, and Wednesday is the busiest day of the week. Of the 1 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 15K interactions, about 24x its own typical post. Only 1 original post 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 1 original post from a 30-day window, last computed on October 22, 2026.

Where this sits in the catalog

At 0.213%, Tony Fadell sits above the 50th percentile of the 205,048 accounts in this comparison. That places it in the above the median band, which runs 0.143% to 0.678%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,048 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,894 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 percentile0.004%
25th percentile0.024%
50th percentile0.143%
75th percentile0.678%
90th percentile2.55%
99th percentile82.4%

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 Wednesday 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 111%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%89K
01:00 UTC-2%90K
02:00 UTC-3%88K
03:00 UTC-4%94K
04:00 UTC-5%76K
05:00 UTC-4%75K
06:00 UTC-5%86K
07:00 UTC-5%93K
08:00 UTC-4%108K
09:00 UTC-4%124K
10:00 UTC-3%129K
11:00 UTC-3%141K
12:00 UTC-3%154K
13:00 UTC-3%167K
14:00 UTC-4%173K
15:00 UTC-2%176K
16:00 UTC-3%171K
17:00 UTC-3%159K
18:00 UTC-2%149K
19:00 UTC-2%141K
20:00 UTC-1%131K
21:00 UTC0%116K
22:00 UTC-2%100K
23:00 UTC-1%90K
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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%393K
Monday+1%483K
Tuesday-2%520K
Wednesday-3%472K
Thursday-2%430K
Friday-3%447K
Saturday+2%393K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Formats this account uses

Its own posting mix on the left, and what each of those formats does across every account we track on the right. Only formats where the effect clears our publish test appear here, so an empty row is a format we could not measure rather than one that does nothing.

This account's posting mix compared with catalog-wide effects
FormatThis accountCatalog effect95% intervalAccounts behind it
Image or video100% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 100% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 111% above the same accounts' other posts.
  • 0% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
  • Its average post runs 622 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above the same accounts' other posts.

These are catalog-wide differences applied to this account's own posting mix, not a measurement of how each format performs for this account specifically. We keep one median per account, not one per format per account, so the second thing is not something this data can tell you.

Best tweets

  • May 12, 202624x their median

    Spotted in the NYC subway. “Zero screen time.” An iPod Shuffle ad in 2026. When we built the iPod, the goal was the technology disappeared and you could have your music wherever you were. 1,000 songs in your pocket. Now we’re living through a moment where people are actively looking for ways to disconnect from the infinite feed, algos, and constant notifications. That doesn’t mean technology is bad. It means the best technology understands when to step back. Not every problem needs another screen, another menu, or another layer of complexity. Constraints create freedom (read: @DavidEpstein new book Inside the Box). And often removing features creates a better product than adding them. The future of technology shouldn’t just be more engagement. It should help us be more human.

    13K1.4K3042471.7M viewsView on X
  • Apr 1, 20268.4x their median

    50 years of @Apple From the early days of the #iPod to bringing the #iPhone into the world, some of the most formative years of my career were spent there. The products and teams stay with you. But more importantly so does how Apple thinks. A few lessons that have held true for decades: 1) Start with the user, not the tech. The question isn’t “what can we build?” but “what problem actually matters?” 2) Focus is everything. Apple is defined as much by what it says no to as what it builds. 3) End-to-end matters. Hardware, software, services. It all has to work together. 4) Details are the product. What feels small is what users remember. 5) Debate hard. Commit fully. 6) Build for the long term. We’re in another moment of massive technological change. The fundamentals haven’t changed. The companies that win build things people actually use and can’t imagine living without. Congrats to everyone who has been part of Apple’s first 50 years! 🙌

    4.5K5637857247K viewsView on X
  • Apr 3, 20265.0x their median

    Most tech companies break out product management and product marketing into two separate roles: Product management defines the product and gets it built. Product marketing wires the messaging- the facts you want to communicate to customers- and gets the product sold. But from my experience that's a grievous mistake. Those are, and should aways be, one job. There should be no separation between what the product will be and how it will be explained- the story has to be utterly cohesive from the beginning. Your messaging is your product. The story you're telling shapes the thing you're making. I learned story telling from Steve Jobs. I learned product management from Greg Joswiak. Joz, a fellow Wolverine, Michigander, and overall great person, has been at Apple since he left Ann Arbor in 1986 and has run product marketing for decades. And his superpower- the superpower of every truly great product manager- is empathy. He doesn't just understand the customer. He becomes the customer. So when Joz stepped into the world with his next-gen iPod to test it out, he fiddled with it like a beginner. He set aside all the tech specs- except one: battery life. The numbers were empty without customers, the facts meaningless without context. And, that's why product management has to own the messaging. The spec shows the features, the details of how a product will work, but the messaging predicts people's concerns and finds way to mitigate them. - #BUILD Chapter 5.5 The Point of PMs

    2.6K25595104950K viewsView on X
  • Jun 1, 20264.0x their median

    Nobel Prize winning economist Kenneth Arrow wrote about "learning by doing" decades ago. He knew that productivity and expertise improve through experience. The messy, repetitive works is often where you learn the patterns that eventually become judgment. Knowledge can be taught, but judgement is built through lived experience. The first draft you rewrite. The customer call you listen to. The bug you fix and fix again. The factory floor you walk. Small decisions you make every day teach you judgement. And, judgement is the thing everyone wants from senior people in the workplace. If we automate away every entry-level task without replacing the learning loop, we are removing a part of the process that creates experts. The goal should be to use AI to accelerate learning, remove friction, and give people better tools to build expertise faster. https://t.co/MpFZzCk1An Thanks @Fortune & @tbove4 for sharing this story. Link in the comments.

    1.9K474202672K viewsView on X
  • Feb 24, 20263.2x their median

    PMs don’t just ship features. They kill them. Shipping isn’t the job. Shipping the right product is. A great PM doesn’t fall in love with the roadmap. They fall in love with the problem and have the guts to say: This isn’t solving it. This adds complexity. This doesn’t matter. Every feature, setting, UI, element should fight to exist. At Nest, we had one rule: If you can’t explain why it matters, it doesn’t ship. You had to tell us the why. The reason a real person would care. That one rule killed dozens of features.

    1.7K1646535284K viewsView on X
  • Oct 23, 20252.5x their median

    Introducing Ledger Nano™ Gen5. The newest addition to our family of touchscreen signers, alongside Ledger Flex™ and Ledger Stax™, Ledger Nano™ Gen5 is the most playful, personal, and accessible signer we’ve ever built. Your first step into digital ownership, made effortless. Take control: https://t.co/yhGoh2KOC0

    1.0K145228117601K viewsView on X
  • Sep 10, 20262.3x their median

    Good to see @Apple finally making a foldable. And, of course, they made sure it was best in class before bringing it to market. The iPhone Duo is more than a new product, it marks a well-orchestrated handover, years in the making, from @tim_cook to @johnternus @Apple will have an order backlog for the Duo for many, many quarters to come since iPhone owners have been wanting something different for years to try. I’m excited to see what developers dream up and build for an entirely new iPhone form factor. https://t.co/tVC8AEkjlp

    1.3K61371051K viewsView on X
  • Apr 21, 20261.7x their median

    Congratulations Tim Cook on one of the most consequential leadership runs in tech. This year marks 50 years of Apple, and Tim has led Apple through a defining stretch of that history. Now with John Ternus stepping into the CEO role, the next chapter @Apple begins. People don’t choose products. They choose experiences they can trust. Apple has always been built on that trust with users, with teams, and in products. This transition is continuing that trust. Nothing but respect. Looking forward to the next 50 years of Apple. Thank you Tim and best to you John. I will always be cheering Apple on. And, I will always push Apple to be better! Because I love Apple. We all do.

    9964823332K viewsView on X
  • Apr 14, 2026

    Builders build. Then they ship. Then they solve what breaks. Launch isn’t the finish line. It’s where reality starts. Great products aren’t defined at launch...they’re defined by how they perform in the real world. With the #iPod it took us a few generations to truly get it right. We built and shipped the first version of the iPod in 9 months- greenlit in March 2001, announced that October and began shipping in November. Then we fixed, iterated, and produced a product that lasted many years, and ultimately paved the way for the #iPhone. Many of us still love our iPods! That’s what happens when you stay with the product. Trust comes from what happens after release and from doing the hard parts: scaling, supporting, improving. Focus on what’s real: working product, real customers, real outcomes. That’s the difference between hype and something that lasts.

    711882514242K viewsView on X
  • Jun 1, 2022

    Couldn’t be happier or more humbled. #BUILD is a @nytimes Bestseller. I learned A LOT writing #Buildbook w/the best co-writer I could’ve ever dreamt of @dina323 https://t.co/ROzd1Vga7k

    66046818View 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 614 interactions against 289K followers, an engagement rate of 0.213%. Posts are seen about 25K times each, and 2.42% of those impressions turn into an interaction. That is about 8.80% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.03 posts a day over the last 30 days, though only 3% of days saw any activity at all. Most posts go out around 17:00 UTC, and Wednesday is the busiest day of the week. Of the 1 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 15K interactions, about 24x its own typical post. Only 1 original post 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 Tony Fadell's engagement rate on X?
Tony Fadell (@tfadell) has an engagement rate of 0.213%, based on the median interactions across 1 original posts from the last 30 days against 288,674 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.213%, Tony Fadell sits above the 50th percentile of the 205,048 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 @tfadell have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @tfadell post?
Most posts go out around 17:00 UTC, and Wednesday is its busiest day, at roughly 0.03 posts per day across the measured window.

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