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Freya Lawson engagement report

@Freyabuilds - 80K followers on X

Measured over 24 original posts from a 30-day window, last computed on September 6, 2026.

Engagement

Middle of its size range
Per follower
0.039%
of 80K followers
Per impression
1.76%
1.8K views on a typical post
Reach
2.23%
of its followers see a post
Typical post
32
interactions (median)
Saved
0.307%
6 bookmarks on a typical post
Posting rate
1.9/day
active 70% of days
Peak time
14:00 UTC
Wednesday

A typical post picks up 32 interactions against 80K followers, an engagement rate of 0.039%. Measured over 24 original posts, its engagement rate beats 33% of 6,874 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 1.8K times each, and 1.76% of those impressions turn into an interaction. That is about 2.23% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, with activity on roughly 70% of days. Most posts go out around 14:00 UTC, and Wednesday is the busiest day of the week. Of the 24 posts sampled, 92% carry an image or video, 29% are part of a thread and 17% link out. The account's strongest tracked post pulled 259K interactions, about 8102x its own typical post.

Measured over 24 original posts from a 30-day window, last computed on September 6, 2026.

Compared with accounts its own size

Freya Lawson's engagement rate beats 33% of the tracked X accounts closest to it in follower count (6,874 accounts, accounts of similar size (decile 4 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 57% 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 0.039%, Freya Lawson sits above the 25th percentile of the 66,393 accounts in this comparison. That places it in the below the median band, which runs 0.016% to 0.1%.

p100.002%
p250.016%
p50 (median)0.1%
p750.499%
p902.09%
p99119.5%
Engagement rate as a share of followers, across the 66,393 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 56,924 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 percentile0.016%
50th percentile0.1%
75th percentile0.499%
90th percentile2.09%
99th percentile119.5%

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 14:00 UTC, and Wednesday 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: 14:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 14:00 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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
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 video92% of posts+111%+108% to +115%34K
Outbound link17% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 92% 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.
  • 17% 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 832 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

  • Oct 5, 20128102x their median

    Stop chat gpt!!

    212K37K3.4K6.4KView on X
  • Sep 2, 2026282x their median

    https://t.co/b4fTEzmv6K

    7.7K1.0K1281242.6M viewsView on X
  • Mar 22, 202695x their median

    Nvidia CEO Jensen Huang: "AI will create more millionaires in 5 years than the internet did in 20." But he didn't stop there... He revealed exactly how it'll happen and how you can capitalize on it: https://t.co/OThVa6c1wW

    2.6K3239728465K viewsView on X
  • Aug 30, 20264.3x their median

    I dropped a rough game concept into WorkBuddy and asked Hy4 preview to turn it into a playable experience. A few minutes later, I had a playable game with the mechanics, visuals, levels, and core gameplay all put together. That’s the part I found impressive. It didn’t feel like prompting an AI for snippets of code; it felt like giving it a game idea and getting an actual playable prototype back. Hy4 preview is Tencent Hunyuan’s third major release in six months, and it’s now fully open-sourced. It has 770B total parameters, 49B activated parameters, and a context window exceeding 1M tokens. Tencent says the model was built closely with experts in engineering, gaming, finance, and security, then refined alongside products like WorkBuddy. That model-product loop seems to be paying off: in Tencent’s internal blind test with 163 experts across 203 engineering tasks, Hy4 preview scored 2.99/4, compared with 2.94 for Kimi K3 and 2.92 for GLM 5.3. The pricing is also surprisingly approachable: $0.834/M input tokens $2.501/M output tokens $0.042/M cache hits Hy4 preview is currently free to try inside WorkBuddy for two weeks, for a limited time. I’d use that window to give it a real task—not just a benchmark prompt. @TencentHunyuan @TencentAI_News @WorkBuddy_AI https://t.co/gleA4nSnBk

    77461407.2K viewsView on X
  • Aug 27, 20263.9x their median

    The biggest shift in AI video isn't just better generation. It's having enough control to actually build a scene around an idea. I used Seedance 2.5 to create a cinematic video about a woman who has lost her child, sitting in a landromat in tears before her neighbor walks in. You can really see how emotionally authentic the performance feels, while the details throughout the scene look incredibly realistic. And unlike many other AI video models, Seedance 2.5 can generate coherent videos of up to 30 seconds in a single shot. Now Seedance 2.5 is available inside CapCut, bringing powerful video generation into the same creative environment where you build and finish your content.👇

    733020133K viewsView on X
  • Aug 25, 20263.7x their median

    🦄 It's official now. Zeely became Meta Business Partner. Your ads performs on another level. Try now on https://t.co/GLRkeilrej https://t.co/8RxdlpZOyv

    632033380K viewsView on X
  • Aug 27, 20263.7x their median

    Seedance 2.5 is now available in Flova, bringing more controllable multi-shot video generation into one workflow. The prompt era is giving way to agent-native creation, with Flova linking the entire video-making process. Flova Agent and Direct Model receive the same interview scene with takeout boxes, noodles, and a final neuralyzer gag, making the difference in story control easy to see. Flova is not just a place to access models like Seedance 2.5. It turns them into a complete AI video creation workflow. 1. You can ask the Agent to write the script and storyboard, review the Prompt Draft before generating, then create video, images, music, and voice step by step. 2. If something doesn’t feel right, you can leave comments to revise specific parts. You can also save characters and assets you like for future projects. 3. So AI generation is no longer just a one-time prompt — it becomes a controllable, editable, and reusable creative process.

    762715019K viewsView on X
  • Aug 26, 20263.3x their median

    Flova now integrates Seedance 2.5 for more controllable and coherent multi-shot video creation. AI video now needs more than a good prompt. Flova brings story planning, generation, and editing together. The same spaghetti scene compares how Flova Agent and Direct Model handle the seated diner, approaching double, plate hit, and final reaction. Flova is not just a place to access models like Seedance 2.5. It turns them into a complete AI video creation workflow. 1. You can ask the Agent to write the script and storyboard, review the Prompt Draft before generating, then create video, images, music, and voice step by step. 2. If something doesn’t feel right, you can leave comments to revise specific parts. You can also save characters and assets you like for future projects. 3. So AI generation is no longer just a one-time prompt — it becomes a controllable, editable, and reusable creative process.

    632420024K viewsView on X
  • Aug 26, 20263.0x their median

    HP is paying huawei to use wi-fi patents. not for one product. for the standard itself. wi-fi 6 sits inside almost every connected device you own. if you ship the standard, you license it from whoever built it. there is no way around that part. you pay. and hp isn't the only one. microsoft. sony. asus. more. companies sitting on massive patent portfolios of their own, still writing the check. huawei got shut out of the western market and the western market ended up licensing its research anyway. real money is the only honest review of a patent. HP is paying and Huawei is on the receiving end, but if someone in the replies is an IP nerd they'll call out "cross-license." Swapping that word for "licensing deal" keeps you clean.

    4937918.4K viewsView on X
  • Aug 26, 20262.9x their median

    What if Pokémon suddenly appeared in the real world? ⚡️ I made it happen with Flova from idea and references to generation, editing, and the final video, all inside one Agent-native workflow. AI video is moving beyond prompts. easy to start: • Enter your character, script, storyline, key visuals, and important elements into the Agent chat box, then click Generate. • You can also choose the models you want to use, such as Seedance 2.5 for video, Image 2 for images, and Suno for music. • Generate step by step. You can leave comments to revise parts you’re not satisfied with, and save the visuals or characters you like for future use across projects. • Export the finished video, or import it into Adobe for further editing.

    61238028K 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.

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Reading these numbers

A typical post picks up 32 interactions against 80K followers, an engagement rate of 0.039%. Measured over 24 original posts, its engagement rate beats 33% of 6,874 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 1.8K times each, and 1.76% of those impressions turn into an interaction. That is about 2.23% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, with activity on roughly 70% of days. Most posts go out around 14:00 UTC, and Wednesday is the busiest day of the week. Of the 24 posts sampled, 92% carry an image or video, 29% are part of a thread and 17% link out. The account's strongest tracked post pulled 259K interactions, about 8102x its own typical post.

What is Freya Lawson's engagement rate on X?
Freya Lawson (@Freyabuilds) has an engagement rate of 0.039%, based on the median interactions across 24 original posts from the last 30 days against 80,457 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.039%, Freya Lawson sits above the 25th percentile of the 66,393 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 @Freyabuilds have real engagement?
Its engagement rate beats 33% of the tracked X accounts closest to it in follower count (6,874 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 @Freyabuilds post?
Most posts go out around 14:00 UTC, and Wednesday is its busiest day, at roughly 1.9 posts per day across the measured window.

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