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• nanou • engagement report

@NanouuSymeon - 139K followers on X

Measured over 43 original posts from a 30-day window, last computed on September 28, 2026.

Engagement

Middle of its size range
Per follower
0.089%
of 139K followers
Per impression
2.58%
4.8K views on a typical post
Reach
3.47%
of its followers see a post
Typical post
125
interactions (median)
Saved
0.577%
28 bookmarks on a typical post
Posting rate
1.67/day
active 30% of days
Peak time
04:00 UTC
Monday

A typical post picks up 125 interactions against 139K followers, an engagement rate of 0.089%. Measured over 43 original posts, its engagement rate beats 52% of 20,444 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 4.8K times each, and 2.58% of those impressions turn into an interaction. That is about 3.48% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.7 posts a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 04:00 UTC, and Monday is the busiest day of the week. Of the 43 posts sampled, 33% carry an image or video and 7% link out. The account's strongest tracked post pulled 1.3K interactions, about 10x its own typical post. Recurring topics include #css, #webdevelopment, #html.

Measured over 43 original posts from a 30-day window, last computed on September 28, 2026. Recurring tags: #css, #webdevelopment, #html.

Compared with accounts its own size

• nanou •'s engagement rate beats 52% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 8 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 69% 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 0.089%, • nanou • sits above the 25th percentile of the 205,048 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.

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 04:00 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: 04:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 04:00 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: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Monday
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 video33% of posts+111%+108% to +115%34K
Outbound link7% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 33% 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.
  • 7% 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 253 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.

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

  • Sep 24, 202610x their median

    Terminal Commands Every Developer Should Know 💻 pwd → Where am I? 📂 ls → List files 🚪 cd → Change directory 📁 mkdir → Create folder 📄 touch → Create file 📋 cp → Copy 🚚 mv → Move/rename 🗑️ rm → Delete 🔎 grep → Search text 👀 cat → View file 🧹 clear → Clear terminal 📜 history → Command history ⚙️ which → Find executable 🌐 curl → Make requests ❓ man → Read the manual

    1.1K14418843K viewsView on X
  • Sep 20, 20264.4x their median

    As a Developer, do you use terminal?

    316142101221K viewsView on X
  • Sep 20, 20263.8x their median

    I'm concerned that developers might stop learning how to code in this AI era.

    310231351229K viewsView on X
  • Sep 21, 20263.7x their median

    How to Get a Job as an AI Developer in 6 Months: 🚀 Month 1 🧠 Learn Python basics 📊 Understand math essentials 📚 Learn how models work at a high level ⚙️ Month 2 📘 Learn NumPy, Pandas, Matplotlib 🤖 Start with Machine Learning 🔍 Build 3 ML mini-projects 🛠️ Month 3 🧠 Learn PyTorch or TensorFlow 📸 Build a small neural network 🎧 Try 1 NLP project + 1 Computer Vision project 🧪 Understand losses, activations, overfitting 🧠 Month 4 ⚡ Learn LLM basics 🛠️ Use OpenAI/Anthropic 🔗 Build RAG apps, chatbots, agents, and tools 🧩 Learn vector databases 🌍 Month 5 🌐 Launch 3 real projects 🚀 Deploy on Vercel, Render, or AWS ⚡ Create a polished GitHub + portfolio 💼 Month 6 📄 Build an AI-specific resume 💬 Join AI dev communities & hackathons 📨 Apply to 2–5 AI/ML roles daily 🧠 Prep for interviews

    386666216K viewsView on X
  • Sep 24, 20263.6x their median

    The developer roadmap is changing. Learn this in 2026: 1. Programming fundamentals 2. Git + GitHub 3. HTML/CSS/JavaScript 4. APIs 5. Databases 6. One frontend framework 7. Backend fundamentals 8. Testing 9. Deployment 10. AI-assisted coding 11. Prompting with context 12. LLM APIs 13. RAG basics 14. AI agents 15. Security 16. System design AI is becoming part of the developer stack. But fundamentals still matter. If you started today, what would you learn FIRST?

    3686419018K viewsView on X
  • Sep 25, 20263.0x their median

    Good morning, Developers! At what age did you write your first line of code? https://t.co/tOURO2CFvF

    26359588.0K viewsView on X
  • Sep 26, 20262.8x their median

    How to Become a Junior Developer • Pick one programming language • Pick one specialization • Build small projects daily • Share your learning publicly • Learn Git & GitHub early • Read other people’s code • Solve a few coding challenges weekly • Create a simple portfolio with 3 – 6 real projects • Do free projects for experience • Apply early and apply often

    290391828.3K viewsView on X
  • Sep 21, 20262.4x their median

    Full-Stack Developer Roadmap: HTML ↓ CSS ↓ JavaScript ↓ Git + GitHub ↓ TypeScript ↓ React ↓ Node.js ↓ APIs ↓ SQL ↓ PostgreSQL ↓ Authentication ↓ Testing ↓ Docker ↓ Deployment Then: BUILD. BUILD. BUILD. What would you learn differently if you started again?

    259241128.3K viewsView on X
  • Sep 25, 20262.3x their median

    Python Roadmap 2026 🐍 Syntax 📦 Variables 🔢 Data types ⌨️ Input/output ➕ Operators 🔀 Conditions 🔁 Loops 🧩 Functions 📝 Strings 📚 Lists 🔒 Tuples 🗂️ Dictionaries 🎯 Sets 📁 Files ⚠️ Exceptions 🏗️ OOP 📦 Modules 🌐 APIs 🧪 Testing ⚡ Async 🗄️ SQL 🐼 Pandas 🤖 Automation 🚀 FastAPI/Django 💼 Build 3 real projects

    24041417.2K viewsView on X
  • Sep 25, 20261.9x their median

    Thinking of starting a JavaScript series for beginners 👀💛 Every day, I’ll break down one concept. Should we start? 🚀

    170194705.5K 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.

Recurring topics

#css#webdevelopment#html#codepen#coding

The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.

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Reading these numbers

A typical post picks up 125 interactions against 139K followers, an engagement rate of 0.089%. Measured over 43 original posts, its engagement rate beats 52% of 20,444 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 4.8K times each, and 2.58% of those impressions turn into an interaction. That is about 3.48% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.7 posts a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 04:00 UTC, and Monday is the busiest day of the week. Of the 43 posts sampled, 33% carry an image or video and 7% link out. The account's strongest tracked post pulled 1.3K interactions, about 10x its own typical post. Recurring topics include #css, #webdevelopment, #html.

What is • nanou •'s engagement rate on X?
• nanou • (@NanouuSymeon) has an engagement rate of 0.089%, based on the median interactions across 43 original posts from the last 30 days against 139,335 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.089%, • nanou • sits above the 25th 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 @NanouuSymeon have real engagement?
Its engagement rate beats 52% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the middle of its size range 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 @NanouuSymeon post?
Most posts go out around 04:00 UTC, and Monday is its busiest day, at roughly 1.67 posts per day across the measured window.

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