freeCodeCamp.org engagement report
@freeCodeCamp - 1.2M followers on X
Measured over 212 original posts from a 30-day window, last computed on October 25, 2026.
Engagement
A typical post picks up 320 interactions against 1.2M followers, an engagement rate of 0.026%. Posts are seen about 21K times each, and 1.50% of those impressions turn into an interaction. That is about 1.77% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 7.2 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 12:00 UTC, and Friday is the busiest day of the week. Of the 212 posts sampled, 98% carry an image or video and 85% link out. The account's strongest tracked post pulled 1.8K interactions, about 5.5x its own typical post.
Measured over 212 original posts from a 30-day window, last computed on October 25, 2026.
Where this sits in the catalog
At 0.026%, freeCodeCamp.org sits above the 25th percentile of the 204,424 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.677% |
| 90th percentile | 2.55% |
| 99th percentile | 82.4% |
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 12:00 UTC, and Friday 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.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 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 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
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.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 98% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 85% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 98% 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.
- 85% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
- Its average post runs 308 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
- Aug 19, 20265.5x 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
- Aug 27, 20265.1x 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
- Oct 10, 20264.6x their median
Containerization is at the heart of modern software development. In this in-depth course, Eissa teaches you Docker from the ground up. You'll learn about containers, Dockerfiles, images, Docker Hub, networking, volumes, Docker Compose, and more - plus real-world deployment workflows. https://t.co/wHGCwkdTtN
- Oct 18, 20264.3x their median
System design interviews test more than whether you know individual technologies. In this course, you’ll learn a five-step framework for designing scalable systems and working through vague requirements. You’ll apply it to systems like Spotify, https://t.co/NGZgF0eD0W, and WhatsApp while going over architectural trade-offs. https://t.co/UqMJA3GqdE
- Oct 16, 20264.2x their median
https://t.co/VL91mrlmDL
- Aug 20, 20263.9x 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
- Sep 2, 20263.9x their median
A computer's operating system manages hardware & software and provides key services for various programs. And in this course, you'll learn all about how an OS works. It covers types of OSs, process management, CPU scheduling, memory management, & more. https://t.co/UcvV0YFzxQ https://t.co/ayFnluyOwq
- Oct 14, 20263.9x their median
If you want to protect yourself against cybersecurity threats, it's helpful to know how attackers might hack you. And in this course, you'll learn how to identify, exploit, and defend against real-world vulnerabilities. You'll use Kali Linux and learn about penetration testing, network security, tools like Nmap and Wireshark, and lots more. https://t.co/9J5KTFRk9L
- Sep 24, 20263.7x their median
OAuth 2.0 is an authorization framework that lets third-party apps access user data on another service without sharing passwords. And this course teaches you how it works. You'll learn about the four OAuth roles, building the authorization server, debugging, and lots more. https://t.co/yfjHc7hPET
- Sep 7, 20263.7x their median
When you're writing code, you need to think about designing systems that are scalable and maintainable. And inefficient software design can lead to issues like scope creep, miscommunication, delays, and so on. In this guide, Soham teaches you Software Design basics along with some helpful best practices to follow. https://t.co/X4xpKkQvO5
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 320 interactions against 1.2M followers, an engagement rate of 0.026%. Posts are seen about 21K times each, and 1.50% of those impressions turn into an interaction. That is about 1.77% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 7.2 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 12:00 UTC, and Friday is the busiest day of the week. Of the 212 posts sampled, 98% carry an image or video and 85% link out. The account's strongest tracked post pulled 1.8K interactions, about 5.5x its own typical post.
- What is freeCodeCamp.org's engagement rate on X?
- freeCodeCamp.org (@freeCodeCamp) has an engagement rate of 0.026%, based on the median interactions across 212 original posts from the last 30 days against 1,206,008 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.026%, freeCodeCamp.org sits above the 25th percentile of the 204,424 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?
- There is not yet enough sample to rank this account against others of its size.
- When does @freeCodeCamp post?
- Most posts go out around 12:00 UTC, and Friday is its busiest day, at roughly 7.23 posts per day across the measured window.