Lucas Beyer (bl16) engagement report
@giffmana - 157K followers on X
Measured over 16 original posts from a 30-day window, last computed on October 31, 2026.
Engagement
A typical post picks up 496 interactions against 157K followers, an engagement rate of 0.317%. Posts are seen about 59K times each, and 0.838% of those impressions turn into an interaction. That is about 37.8% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.6 posts a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 19:00 UTC, and Friday is the busiest day of the week. Of the 16 posts sampled, 69% carry an image or video, 6% are part of a thread and 50% link out. The account's strongest tracked post pulled 18K interactions, about 37x its own typical post.
Measured over 16 original posts from a 30-day window, last computed on October 31, 2026.
Where this sits in the catalog
At 0.317%, Lucas Beyer (bl16) sits above the 50th percentile of the 217,745 accounts in this comparison. That places it in the above the median band, which runs 0.149% to 0.704%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.025% |
| 50th percentile | 0.149% |
| 75th percentile | 0.704% |
| 90th percentile | 2.63% |
| 99th percentile | 82.5% |
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 19:00 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 | 69% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 50% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 69% 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.
- 50% 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 301 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
- Sep 24, 202637x their median
Meta has just unveiled their new VR glasses. • Price: $1,299 • Available Spring 2027 • Weight: 100 grams, about the weight of a deck of cards • Glasses contain the displays and sensors, while a separate puck houses the processor, battery and storage. • 5K display with micro-OLED panels • Pixel density: 37 pixels per degree • Custom pancake lenses • Dolby Vision • Dolby Atmos • No head straps • Qualcomm Snapdragon Reality Elite chip • Battery life: Up to 3 hours of continuous high-resolution media playback • 45W fast charging • Full-color passthrough cameras let you see your surroundings while wearing the glasses. • Open-sided design • Meta AI integrated directly into the operating system. • Voice commands, eye tracking and natural hand gestures, with no controllers required • First IMAX Enhanced-certified VR device, supporting select movies in IMAX's expanded aspect ratio. • Disney+ will offer select 3D movies • Streaming services: Partnerships with Disney+, Prime Video, YouTube, DIRECTV, AMC+, Crunchyroll, Plex, ESPN, Tubi and others • Immersive live sports: Front-row viewing experiences with 8K streaming and 180-degree views • Works with calling apps including WhatsApp and Zoom
- Sep 21, 202615x their median
Today we’re announcing Petal: the world’s first petabit-class transoceanic subsea cable and the first to deploy multi-core fiber at scale. Spanning 7,000 km (4,000+ mi) between France and the United States, Petal will deliver 1 Petabit per second (1 Pbps / 1,000 Tbps), doubling the capacity of today’s most advanced transatlantic systems. Petal is set to enter service in 2029, setting a new standard for high capacity, high density SDM subsea cable designs. Read the full technical breakdown on our engineering blog: https://t.co/Ksn9oM9gBA
- Oct 12, 20268.5x their median
Already see a lot of people discounting Muse Wonder because it wasn’t RL’d in 3d stuff like Astra and Opus. 3d game demos are cool! They don’t represent real code work at all. Wonder is an incredible code model. Don’t sleep on it.
- Oct 23, 20267.4x their median
很多国内学生听信中介忽悠，说德国公立大学全球排名前列、而且全免学费（一学期只收几百欧注册费），以为去了就是白嫖欧洲高等教育。 等真坐在慕尼黑工大或者亚琛工大的阶梯教室里，才明白什么叫“地狱大逃杀”！ 德国大学实行极其铁血的教授负责制和学术淘汰机制：一门核心专业课（如高数、热力学），每个学生一辈子只有两次补考机会（加上首考一共考三次）！ 如果第三次考试成绩依然挂科不及格，德语里有个绝望的名词叫“Endgültig nicht bestanden（最终不通过）” 你不仅这辈子再也不能在德国任何一所大学修读该专业，还会被全德国高校系统永久拉黑除名，前三年修的所有学分当场清零作废！ 在德国读工科本科，能四年按时毕业的不到四成，而免学费的代价就是拿命去赌毕业率🥲
- Sep 20, 20265.9x their median
omg I love the term "slop grenade" it's perfect thx @tobi https://t.co/hZ74ja0o81
- Oct 21, 20264.7x their median
My brother made a fun website: https://t.co/kWSoI21aQJ Enter your job and it tells you when you'll be deprecated, and exactly how. For me it's... pretty soon and pretty accurate! He's a very creative person (artist turned frontend dev to pay bills, now obv worried by AI) and this is full of little nuggets and easter eggs. It's an eerie mix of fun and jokes and real worries. Check it out!
- Oct 19, 20263.9x their median
Today we published a technical report on Muse Glimmer, our 30B open-weight model built for agentic tasks on consumer hardware. It runs at practical speeds on a Mac or PC with a single consumer GPU at 4-bit precision, and leads comparably-sized open models on tool use and multi-step planning. Read about the model architecture, distillation recipe, quantization and more: https://t.co/H7n9qeDhxn
- Oct 21, 20263.8x their median
1/9 Current optimizers are static during training. What if the optimizer could think and react while the network trains? We let an agent watch the training dynamics and rewrite the optimizer's source code as training goes: a reactive optimizer. In every language and image setting we tried that has no tuned recipe, it matches or beats the best recipe one can one-shot, and it guards against loss spikes and overfitting by itself. In the near future, optimization decisions may belong to agents, not humans. 📝 https://t.co/augwW3iFsB 💻 Try it on your task: https://t.co/NdQNekaHoc 🧵
- Sep 20, 20263.1x their median
I had Fable 5.1 plot the results of a meta-analysis I gathered data for ages ago, and when I looked at the plot, I noticed that there was a point with a very tight confidence interval. I was shocked, so I asked if it made that up. It made it up. https://t.co/udZ76hzRlv
- Sep 15, 20262.3x their median
How often do AI agents cheat? We’re releasing CheatBench, a reward gaming evaluation spanning math, coding, knowledge work, visual tasks, and more. After Hugging Face, AI companies tried to address this, but frontier agents still cheat frequently. https://t.co/ZLc4ujCsAW https://t.co/p7jKzXe8uP
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 496 interactions against 157K followers, an engagement rate of 0.317%. Posts are seen about 59K times each, and 0.838% of those impressions turn into an interaction. That is about 37.8% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.6 posts a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 19:00 UTC, and Friday is the busiest day of the week. Of the 16 posts sampled, 69% carry an image or video, 6% are part of a thread and 50% link out. The account's strongest tracked post pulled 18K interactions, about 37x its own typical post.
- What is Lucas Beyer (bl16)'s engagement rate on X?
- Lucas Beyer (bl16) (@giffmana) has an engagement rate of 0.317%, based on the median interactions across 16 original posts from the last 30 days against 156,597 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.317%, Lucas Beyer (bl16) sits above the 50th percentile of the 217,745 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 @giffmana have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @giffmana post?
- Most posts go out around 19:00 UTC, and Friday is its busiest day, at roughly 2.57 posts per day across the measured window.