Quincy Larson engagement report
@ossia - 295K followers on X
Measured over 7 original posts from a 30-day window, last computed on September 6, 2026.
Engagement
Early reading. We have captured 7 original posts 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 57 interactions against 295K followers, an engagement rate of 0.019%. Posts are seen about 8.2K times each, and 0.696% of those impressions turn into an interaction. That is about 2.77% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.53 post a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 13:00 UTC, and Friday is the busiest day of the week. Of the 7 posts sampled, 86% carry an image or video, 29% are part of a thread and 71% link out. The account's strongest tracked post pulled 250 interactions, about 4.4x its own typical post. Only 7 original posts 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 7 original posts from a 30-day window, last computed on September 6, 2026. Recurring tag: #cyc26.
Where this sits in the catalog
At 0.019%, Quincy Larson sits above the 25th percentile of the 68,576 accounts in this comparison. That places it in the below the median band, which runs 0.016% to 0.1%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.016% |
| 50th percentile | 0.1% |
| 75th percentile | 0.5% |
| 90th percentile | 2.09% |
| 99th percentile | 116.4% |
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 13:00 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 | 86% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 71% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 86% 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.
- 71% 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 879 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 14, 20264.4x their median
This weekend learn some low-level game dev! Make pixel graphics in C with this FREE 2-hour course. Here are this week's 5 learning resources worth your time: 1. freeCodeCamp just published a course that will teach you how low-level computer graphics work by coding your own software renderer in C. You'll learn how to represent images as pixel data, draw graphics to the screen, and transform 3D objects into 2D images. This'll teach you what's really happening under all those layers of abstraction in modern game engines like Unreal. (2 hour YouTube course): https://t.co/8MC4bnTbod 2. Learn how Cross-Site Request Forgery attacks work from the ground up. This handbook explains the browser mechanics that make CSRF attacks possible, and how malicious websites can exploit a user's authenticated session. (full length handbook): https://t.co/TDatGBtS0H 3. If you're studying engineering but don't know much about Python, this is a good place to start. You'll install a development environment, then learn the absolute basics. Run calculations, analyze data, and visualize your results. You'll get plenty of practice turning mathematical models into code. (4 hour YouTube course): https://t.co/lDbMmUTFNd 4. freeCodeCamp also published a handbook that will teach you emerging best practices for building agents that interact with multiple users. Think the creepy merchant from Resident Evil 4. What're ya' sellin'? First you'll learn how authorization flows work. Then you'll manage access tokens and give your agents narrowly scoped access to external tools like GitHub and Slack. (full length handbook): https://t.co/ru3ptMOcwX 5. Finally, learn how to test AI-powered features in your Flutter apps. Model output is stochastic (read: unreliable) which makes traditional testing approaches a lot freakin' harder. This handbook will show you how to isolate model integrations, control dependencies, and write reliable tests without making unnecessary calls to external APIs. If you're building mobile apps with AI features, this is well worth bookmarking. (full length handbook): https://t.co/uSrIcqMyYW The freeCodeCamp community is kicking butt and taking numbers. I hope you are too. If you've got some funds to spare, join the 9,031 kind folks who support our charity and our mission: https://t.co/PJXlqTfPxH Quote of the Week: “C has the power of assembly language. And the convenience of... assembly language.” — Dennis Ritchie, creator of the C programming language
- Jul 15, 20263.0x their median
From the outside freeCodeCamp probably looks pretty quiet, huh. 🌵🌞 I mean I barely even post here. But let me tell you we're heads down, busier than ever, working on a TON of open source learning tools. 🏕️🏗️ Look for several major announcements over the next few months. 🎁
- Jun 26, 20263.0x their median
Fun fact: a LOT of the machine learning videos we publish on freeCodeCamp YouTube actual DESTROY our subscriber base. YouTube: "Keep in mind that some topics may just naturally attract a smaller audience." But we do it anyway. Because devs should learn these advanced concepts. https://t.co/zbq1anjROd
- Sep 2, 20262.6x their median
A camper solved all 365 days of the freeCodeCamp daily coding challenge without AI assistance, wrote about their journey, and shared their solution repo. 🥳 Some serious consistency and work ethic on display here.💪 Forum thread: https://t.co/sfRgd2m1PJ https://t.co/xH0YikIU8W
- Jul 1, 20262.5x their median
Learn how to use the command line. You're going to spend a lot of time in there. freeCodeCamp just dropped a FREE 1-hour course to teach you the basics. https://t.co/xmjgnFg0Hr
- Jul 10, 20261.5x their median
A LOT of people are taking freeCodeCamp certification exams this summer. Programming skill verification and also English as a Second Language. We're just getting started. Spanish and Mandarin curricula are in beta. Exams for those will go live soon too. All FREE. https://t.co/m0Di0pWZ9z
- Jun 13, 2026
If you’re in Tokyo... 6月22日（月）19時から渋谷で freeCodeCamp の Coffee & Code やります☕️💻 新しいコミュニティマネージャーのEnaと僕と一緒に参加します。 本気で来たい人はDMください。参加枠を確保します。
- Aug 21, 2026
This weekend learn how to do reinforcement learning in C. Because why not. FREE 2 hour course freeCodeCamp just dropped this week, and 4 other resources you should check. 1. freeCodeCamp just published a course that will teach you how to code your own reinforcement learning framework from scratch in pure C. You'll implement the systems that help your agent observe its environment, choose actions, receive rewards, and improve through experience. I'd normally attempt this in Python, but considering that Python itself is written in C, this'll give you a much deeper understanding of what's happening under the hood. (2 hour YouTube course): https://t.co/dWYA1vdxsI 2. The world runs on crusty old legacy codebases. Some of these were elegantly written by devs who knew what they were doing. But a lot of it is spaghetti that no one had the guts to touch. Until now. This new freeCodeCamp guide will show you how to use AI tools to understand legacy codebases, document their behavior, and modernize them incrementally. You'll also learn where human review and automated tests fit into the process. (25 minute read): https://t.co/6v7LHaePeA 3. Learn how to roll your own multi-agent system that reviews pull requests for you. You'll learn how to slice n' dice the review process for your new team of specialized agents. You've got a security expert agent, one focused on code quality, testing, documentation. You'll voltron their powers using the fan-out and fan-in pattern. No course would be complete without an exploration of AI failure modes, database design, and orchestration tools. (3 hour YouTube course): https://t.co/R00Ywgp2eH 4. Wanna build your own Discord bot using Python? This handbook has got you covered. Everything from registering your bot, configuring its permissions, connecting it to your custom Python scripts, responding to messages, and other events. You'll also learn how to lock down sensitive credentials like your bot token. (full length handbook): https://t.co/Rnjx59PSi0 5. Finally, learn how to build your own multi-agent financial research system using the open source LangChain Deep Agents harness. You'll create specialized agents that can investigate a market, coordinate their work, and synthesize their findings into a research report. If you're into finance, this is a solid primer on multi-agent systems and context management. Go get that alpha. (full length handbook): https://t.co/V78IAnpksz You've probably read this before, but the freeCodeCamp community is building tons of interactive courses on math, programming, computer science, world languages, and more. All of these are open source and available to everyone. If you've read this far, you should totally join the 9,103 chill people who support our charity's mission each month: https://t.co/PJXlqTfhI9 Quote of the Week: “Don’t comment bad code. Rewrite it.” — Brian Kernighan and P. J. Plauger, authors of the seminal C book The Elements of Programming Style way back in 1974
- Jun 19, 2026
https://t.co/Z5g9PQ0ctL
- Jun 24, 2026
Friendly reminder if you're feeling anxiety. Nobody knows what's going to happen. What we're going through is unprecedented. Any guesses are just that. Guesses.
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
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 57 interactions against 295K followers, an engagement rate of 0.019%. Posts are seen about 8.2K times each, and 0.696% of those impressions turn into an interaction. That is about 2.77% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.53 post a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 13:00 UTC, and Friday is the busiest day of the week. Of the 7 posts sampled, 86% carry an image or video, 29% are part of a thread and 71% link out. The account's strongest tracked post pulled 250 interactions, about 4.4x its own typical post. Only 7 original posts 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 Quincy Larson's engagement rate on X?
- Quincy Larson (@ossia) has an engagement rate of 0.019%, based on the median interactions across 7 original posts from the last 30 days against 295,441 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.019%, Quincy Larson sits above the 25th percentile of the 68,576 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 @ossia have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @ossia post?
- Most posts go out around 13:00 UTC, and Friday is its busiest day, at roughly 0.53 posts per day across the measured window.