Back to @freeCodeCamp's profile

freeCodeCamp.org engagement report

@freeCodeCamp - 1.2M followers on X

Measured over 100 original posts from a 30-day window, last computed on September 1, 2026.

Engagement

Middle of its size range
Per follower
0.025%
of 1.2M followers
Per impression
0.983%
31K views on a typical post
Reach
2.59%
of its followers see a post
Typical post
307
interactions (median)
Saved
0.818%
256 bookmarks on a typical post
Posting rate
3.43/day
active 50% of days
Peak time
12:00 UTC
Tuesday

A typical post picks up 307 interactions against 1.2M followers, an engagement rate of 0.025%. Measured over 100 original posts, its engagement rate beats 49% of 4,067 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 31K times each, and 0.983% of those impressions turn into an interaction. That is about 2.59% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.4 posts a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 12:00 UTC, and Tuesday is the busiest day of the week. Of the 100 posts sampled, 99% carry an image or video and 86% link out. The account's strongest tracked post pulled 1.8K interactions, about 5.7x its own typical post.

Measured over 100 original posts from a 30-day window, last computed on September 1, 2026.

Compared with accounts its own size

freeCodeCamp.org's engagement rate beats 49% of the tracked X accounts closest to it in follower count (4,067 accounts, accounts of similar size (decile 9 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 50% 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 0.025%, freeCodeCamp.org sits above the 25th percentile of the 39,368 accounts in this comparison. That places it in the below the median band, which runs 0.013% to 0.082%.

p100.002%
p250.013%
p50 (median)0.082%
p750.442%
p902.09%
p99152.1%
Engagement rate as a share of followers, across the 39,368 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 95,038 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 percentile0.013%
50th percentile0.082%
75th percentile0.442%
90th percentile2.09%
99th percentile152.1%

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 12:00 UTC, and Tuesday 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: 12:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 12:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%55K
01:00 UTC-2%56K
02:00 UTC-4%54K
03:00 UTC-4%58K
04:00 UTC-6%47K
05:00 UTC-4%45K
06:00 UTC-5%52K
07:00 UTC-5%56K
08:00 UTC-4%66K
09:00 UTC-4%76K
10:00 UTC-3%78K
11:00 UTC-3%85K
12:00 UTC-2%94K
13:00 UTC-3%102K
14:00 UTC-3%105K
15:00 UTC-1%109K
16:00 UTC-3%106K
17:00 UTC-2%98K
18:00 UTC-1%92K
19:00 UTC-2%87K
20:00 UTC-1%81K
21:00 UTC-1%72K
22:00 UTC-2%62K
23:00 UTC-2%56K
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: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Tuesday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%245K
Monday+1%313K
Tuesday-3%327K
Wednesday-3%275K
Thursday-2%256K
Friday-3%266K
Saturday+3%240K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Aug 19, 20265.7x their median

    As a developer, you should know core system design concepts. This helps show potential employers that you can turn design requirements into production-ready code. This course covers app architecture, API design, caching, networking, databases, and more. https://t.co/j6TmwXZox7 https://t.co/hApUAVQ93q

    1.5K2286250K viewsView on X
  • Aug 27, 20265.3x their median

    System design is how large-scale applications get planned before they’re built. And in this course, you’ll learn how to design scalable, reliable systems step by step. It covers APIs, databases, caching, and real-world architecture patterns. https://t.co/7i4jQVqeD1 https://t.co/6gJOsGKsEp

    1.4K21712151K viewsView on X
  • Aug 20, 20264.1x their median

    As a developer, you should know core system design concepts. This helps show potential employers that you can turn design requirements into production-ready code. This course covers app architecture, API design, caching, networking, databases, and more. https://t.co/j6TmwXZox7 https://t.co/tIS3MRePxS

    1.1K1468346K viewsView on X
  • Aug 22, 20263.9x their median

    Data structures and algorithms can feel abstract until you can actually picture how they work. In this course, Sumit teaches DSA using visual explanations and real-world analogies. You'll learn about arrays, linked lists, stacks, queues, hash tables, trees, graphs, searching, sorting, recursion, dynamic programming, and more. https://t.co/mf6pKMIdU7

    1.0K1531244K viewsView on X
  • Aug 20, 20263.7x their median

    Math isn't just about numbers - it's about finding complex patterns in our world. And there are many ways that you can apply mathematical concepts in programming, beyond what you might've learned in school. In this guide, Tiago discusses the architecture of math – and how you can use it in your code. https://t.co/mH2DFQBGXy

    9941373244K viewsView on X
  • Aug 27, 20263.4x their median

    If you're preparing for technical interviews, you may be working through a bunch of LeetCode problems. And this is helpful, but you should really understand the key concepts behind these DSA problems first. In this visual handbook, Eda goes over the Data Structures & Algorithms concepts you'll need to know - for both LeetCode & job interviews. https://t.co/s4QKk5gBs3

    9151302144K viewsView on X
  • Aug 27, 20263.4x their median

    Running your own DevOps setup locally is one of the best ways to learn. In this guide, @irvingpictures shows how to build a homelab using Docker, Kubernetes, and Ansible. You’ll learn how containers, orchestration, and automation tools work together in a safe environment. https://t.co/jUSOGpaSfg

    8851389146K viewsView on X
  • Aug 20, 20263.2x their median

    GitHub has a GitHub Actions certification exam. And if you're a developer, DevOps, or automation lover, this course can help you study. In it, @andrewbrown covers runners and commands, advanced workflows, publishing and deployment, and lots more. https://t.co/UyA7ycPxzc https://t.co/SJfR5d7Dmr

    8521167141K viewsView on X
  • Aug 21, 20263.1x their median

    n8n is a powerful open source workflow automation tool that lets you connect your apps, APIs, and AI models. And this course teaches you how to use it to build and orchestrate intelligent agents. You'll set up a vector database, build a customer support RAG agent, and learn about various hosting options, too. https://t.co/aW4fxgKZ77

    81311511141K viewsView on X
  • Aug 18, 20262.9x their median

    GPUs can handle massive parallel workloads that CPUs can’t. In this course, you'll learn how CUDA programming works on NVIDIA H100 GPUs. You’ll also learn about kernels, memory, and how to optimize performance for AI workloads. https://t.co/qMYAmJoshr https://t.co/uAL50MibrT

    7799810443K 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.

Buy or sell X accounts - escrow-protected

PlayerSells is an escrow marketplace for X accounts. Every deal is protected, with no middleman risk.

Reading these numbers

A typical post picks up 307 interactions against 1.2M followers, an engagement rate of 0.025%. Measured over 100 original posts, its engagement rate beats 49% of 4,067 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 31K times each, and 0.983% of those impressions turn into an interaction. That is about 2.59% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.4 posts a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 12:00 UTC, and Tuesday is the busiest day of the week. Of the 100 posts sampled, 99% carry an image or video and 86% link out. The account's strongest tracked post pulled 1.8K interactions, about 5.7x its own typical post.

What is freeCodeCamp.org's engagement rate on X?
freeCodeCamp.org (@freeCodeCamp) has an engagement rate of 0.025%, based on the median interactions across 100 original posts from the last 30 days against 1,204,544 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.025%, freeCodeCamp.org sits above the 25th percentile of the 39,368 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 @freeCodeCamp have real engagement?
Its engagement rate beats 49% of the tracked X accounts closest to it in follower count (4,067 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 @freeCodeCamp post?
Most posts go out around 12:00 UTC, and Tuesday is its busiest day, at roughly 3.43 posts per day across the measured window.

Keep going