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Marc Lou engagement report

@marclou - 414K followers on X

Measured over 27 original posts from a 30-day window, last computed on October 1, 2026.

Engagement

Top quarter for its size
Per follower
0.15%
of 414K followers
Per impression
0.57%
107K views on a typical post
Reach
26.4%
of its followers see a post
Typical post
607
interactions (median)
Saved
0.04%
43 bookmarks on a typical post
Posting rate
4.27/day
active 63% of days
Peak time
10:00 UTC
Thursday

A typical post picks up 607 interactions against 414K followers, an engagement rate of 0.15%. Measured over 27 original posts, its engagement rate beats 78% of 18,861 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 107K times each, and 0.57% of those impressions turn into an interaction. That is about 25.7% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.3 posts a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 10:00 UTC, and Thursday is the busiest day of the week. Of the 27 posts sampled, 96% carry an image or video, 33% are part of a thread and 30% link out. The account's strongest tracked post pulled 8.4K interactions, about 13x its own typical post.

Measured over 27 original posts from a 30-day window, last computed on October 1, 2026.

Compared with accounts its own size

Marc Lou's engagement rate beats 78% of the tracked X accounts closest to it in follower count (18,861 accounts, accounts of similar size (decile 10 of 10)). A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.

On engagement per impression rather than per follower it beats 34% of the same group. When those two numbers disagree, the gap is about how far its posts travel rather than how people react to them.

Where this sits in the catalog

At 0.15%, Marc Lou sits above the 50th percentile of the 190,099 accounts in this comparison. That places it in the above the median band, which runs 0.136% to 0.648%.

p100.004%
p250.023%
p50 (median)0.136%
p750.648%
p902.46%
p9983.1%
Engagement rate as a share of followers, across the 190,099 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 23,739 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 percentile0.023%
50th percentile0.136%
75th percentile0.648%
90th percentile2.46%
99th percentile83.1%

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 10:00 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: 10:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 10:00 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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
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 video96% of posts+111%+108% to +115%34K
Outbound link30% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 96% 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.
  • 30% 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 284 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 30, 202613x their median

    10 years as an entrepreneur and 1 takeaway: Don't you dare give up. https://t.co/S2pWlcxnWv

    7.4K445453103695K viewsView on X
  • Aug 14, 20267.2x their median

    I'm French I live in Cyprus I work in English My wife is Korean My company is in Singapore I'm currently traveling in China My friends are from all over the world

    3.7K55453194837K viewsView on X
  • Aug 17, 20267.1x their median

    I spent 14 days in China, and it was my favorite trip in a while. It changed so much since I visited 11 years ago that it felt like a new country. Here is what I liked about China, and what I didn’t. 1. EV adoption is huge. 100% of scooters are electric. You can walk on busy streets and it’s surprisingly quiet! It made me enjoy cities again. 2. It’s so convenient. All restaurants let you scan a QR code to order and pay. You can order a taxi and drive 100 km for $30. The malls are so big you can spend an entire day there. 3. Value for money is top notch. Hotels are new, food is delicious, and yet everything is super affordable. Chinese people are really committed to doing their best, and you can feel this everywhere you go. It’s very humbling. 4. Chinese people are super friendly! We made friends everywhere we went: restaurants, hotels, taxis. I memorized Chinese sentences like 是免費的嗎? (“Is it free?”) and I would repeat them to outdoor vendors for fun. They would laugh and come slap me on the shoulder! I even got a free ice cream doing this ^^ 5. Internet is a gamble. The Great Firewall blocks a lot of websites. You need a VPN and eSIM to access Western websites. And it’s not guaranteed to work, so it’s tricky to get deep work done. I used Revolut eSIMs. It’s expensive, but most websites worked. When I called my parents during the trip, they couldn’t believe how modern China is. For most people in the West, China is still a third-world country. There are 17 cities with 10M+ inhabitants. Most of them were built in the last 30 years. When I was in Hangzhou 杭州, I felt like I was in an ant house. Very crowded, yet super modern, quiet, and organized. My wife and I loved the trip so much. We’ll come back next year and get lost in China because there are so many wonderful places to go.

    3.7K13238672834K viewsView on X
  • Aug 12, 20265.1x their median

    Why I'll never raise or hire: I wake up not knowing what I’ll do today. I have breakfast with my wife while my phone is off. I hit the gym. I do 4 hours of deep work on whatever sparks my creativity. I have lunch with my wife when I’m hungry. I answer support. Every customer is super kind. I get paid for my work. I close my laptop whenever I want. I go to bed excited to wake up and do it all again.

    2.7K6129337163K viewsView on X
  • Sep 30, 20264.5x their median

    I made $217,071 in September 2026. 💪 HYROX — $112K ⭐️ TrustMRR — $53K 📈 DataFast — $31K 🧑‍💻 CodeFast — $7K 🐥 Twitter — $7K 🏴‍☠️ Ship or Die — $3K ⚡️ ShipFast — $2K 🍜 Indie Page — $685 🕵️‍♂️ Stalkr — $319 🎞️ YouTube — $263 🦐 SuperShrimp — $221 🌱 HabitsGarden — $143 🧾 Zenvoice — $138 🚀 LaunchViral — $129 🛡️ ByeDispute — $97 📚 WorkbookPDF — $67 💩 PoopUp — $9 ✂️ Margin: 90% The HYROX experiment https://t.co/49RnsFBVzP inflates this month's revenue, but it's the best month ever for my marketplace https://t.co/MZc8tGa5LQ ($53K) and my SaaS https://t.co/3EDxln5U2Q ($31K). I do everything solo, and I'm not going to lie, I'm fucking proud of myself. Since I was a kid, I've been told to focus on one thing. I find that boring. I want to play and try a bunch of things. I never felt confident because nothing really worked out for 7 years. I ended up being average at everything: coding, marketing, design... But building 37 startups (https://t.co/4zCWHGJWRq) taught me something far more important: resilience, discipline, and optimism. Over the past decade, those skills have compounded. I now run a tiny portfolio of startups making $1M+/year, sleep 8 hours a night, work out 2 hours a day, and spend plenty of time with my wife. Anything is possible if you're hungry. Believe in yourself.

    2.2K44313206578K viewsView on X
  • Sep 10, 20264.1x their median

    Good Morning September 10 2026 Thank you to @marclou for the shout out this morning. It means a lot to me! https://t.co/xNmrV9Gxk2

    2.3K7114513242K viewsView on X
  • Aug 14, 20263.8x their median

    POV you order water in China https://t.co/D0dUWMzt3V

    2.0K4518124299K viewsView on X
  • Sep 24, 20263.8x their median

    I’m back home in Cyprus 🇨🇾 after 10 days in Turkey 🇹🇷 We got lost in non touristic areas, and we discovered raw Turkey away from busy Istanbul. Turkish people are so kind and welcoming! People randomly talk to us, ask where we’re from, and offered us Turkish tea. Someone even gave us the figs he picked up from the tree 🤤 We didn’t do anything special. Just walking around local neighborhood. That’s my favorite way to travel, because you get to see how people are living for real. I normally don’t mess my diet, but baklavas are so good I had a few of them ever day 🙈 Teşekkürler Türkiye!

    2.2K151016152K viewsView on X
  • Sep 10, 20263.5x their median

    https://t.co/U5ahUBM08z spent $80,000 to outbid ALL sponsors of my HYROX race. It happened 8 hours ago. 2 sponsors fought back and outbid Higgsfield: - https://t.co/pLgrGEC7Ag by @notgokgreen (right calves — $4k) - https://t.co/myeIzGZvX0 (left quad — $8k) Auction ends in 19 hours → https://t.co/49RnsFBVzP

    1.7K27275124477K viewsView on X
  • Jan 15, 20262.8x their median

    I turned down $1M for TrustMRR. When the buyer reached out, I had just built the marketplace. I replied that I'd consider it at a higher valuation and a similar vision for the product. A few weeks passed, and the offer climbed to $1.2M. I would have to stay onboard for a few months. Having worked for myself for 8+ years, that scared me. On top of it, the marketplace started to grow organically recently, and I realized I could turn TrustMRR into something that could last long and not be swallowed by the AI wave. So yesterday, I passed. Just like all my other products, I don't know what's next, but I'll build a place for founders to get acquired. Currently, 30 startups are listed per day. That's 10x more than at launch. The marketplace is now monetized at 3% finder's fee, and there's one acquisition a day. Back to Cursor.

    1.4K2222814254K 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 607 interactions against 414K followers, an engagement rate of 0.15%. Measured over 27 original posts, its engagement rate beats 78% of 18,861 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 107K times each, and 0.57% of those impressions turn into an interaction. That is about 25.7% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.3 posts a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 10:00 UTC, and Thursday is the busiest day of the week. Of the 27 posts sampled, 96% carry an image or video, 33% are part of a thread and 30% link out. The account's strongest tracked post pulled 8.4K interactions, about 13x its own typical post.

What is Marc Lou's engagement rate on X?
Marc Lou (@marclou) has an engagement rate of 0.15%, based on the median interactions across 27 original posts from the last 30 days against 414,428 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.15%, Marc Lou sits above the 50th percentile of the 190,099 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 @marclou have real engagement?
Its engagement rate beats 78% of the tracked X accounts closest to it in follower count (18,861 accounts), which puts it in the top quarter for its size group. Ranking inside a size band matters because engagement rate falls as accounts grow, so a raw rate would mostly re-measure the follower count. It is a starting point for a look at follower quality, not a verdict on it.
When does @marclou post?
Most posts go out around 10:00 UTC, and Thursday is its busiest day, at roughly 4.27 posts per day across the measured window.

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