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FAR Labs engagement report

@FARLabsAI - 167K followers on X

Measured over 5 original posts from a 30-day window, last computed on September 19, 2026.

Engagement

Per follower
0.008%
of 167K followers
Per impression
0.33%
3.9K views on a typical post
Reach
2.29%
of its followers see a post
Typical post
13
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
0.17/day
active 17% of days
Peak time
08:00 UTC
Monday

Early reading. We have captured 5 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 13 interactions against 167K followers, an engagement rate of 0.008%. Posts are seen about 3.9K times each, and 0.33% of those impressions turn into an interaction. That is about 2.36% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.17 posts a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 08:00 UTC, and Monday is the busiest day of the week. Of the 5 posts sampled, 60% carry an image or video. The account's strongest tracked post pulled 380 interactions, about 29x its own typical post. Only 5 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 5 original posts from a 30-day window, last computed on September 19, 2026.

Where this sits in the catalog

At 0.008%, FAR Labs sits above the 10th percentile of the 205,048 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,048 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,894 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 percentile0.004%
25th percentile0.024%
50th percentile0.143%
75th percentile0.678%
90th percentile2.55%
99th percentile82.4%

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 08:00 UTC, and Monday 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: 08:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 08:00 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: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Monday
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 video60% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 60% 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.
  • 0% 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 376 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

  • Apr 3, 202629x their median

    Your GPU could do more than sit idle. Node registrations for FAR AI are now open. See your estimated output, submit your details, and secure your place early in the network. Register here: https://t.co/q4yYRBjFVe https://t.co/1M7zuGEdXH

    27786152196K viewsView on X
  • Jun 9, 20265.1x their median

    See how FAR AI is building production-ready infrastructure for AI inference at scale. Join our Founder & CEO, Ilman Shazhaev (@shzhv13), as he takes the stage at SuperAI 2026 to share what we're building at FAR Labs by @Dizzaract. https://t.co/lKA6KbWxLG

    45910241K viewsView on X
  • Jun 10, 20265.0x their median

    Live from SuperAI. The FAR Labs by @Dizzaract team is meeting attendees, showcasing our platform and connecting with builders and AI leaders from around the world. We'll be at Booth PB19, L5 tomorrow. Come meet the team. https://t.co/nKfqdmBuCL

    47117015K viewsView on X
  • Jun 11, 20264.8x their median

    From today at SuperAI. Ilman Shazhaev (@shzhv13), our Founder & CEO took the stage to share how FAR Labs by @Dizzaract is building production-ready infrastructure for AI inference, followed by great conversations with founders, investors and industry leaders from around the world. Looking forward to what's ahead this week.

    4688012K viewsView on X
  • Aug 10, 20264.6x their median

    Agentic AI benefits from inference closer to where data and actions happen. But larger open-weight models can require more compute than a single local machine can provide. FAR AI connects compatible GPUs across a distributed network and supports multi-machine inference through a standard API, while managing deployment and request coordination. Building with AI? Register for early access: https://t.co/17zU4CzXkd

    38616019K viewsView on X
  • Jun 14, 20263.5x their median

    This week at FAR Labs👇 - The FAR Labs team joined SuperAI Singapore, connecting with founders, enterprises, investors, developers and AI leaders from around the world. - Our Founder & CEO, Ilman Shazhaev, took the stage to share how FAR AI is building production-ready infrastructure for AI inference at scale. - The biggest takeaway from the week: demand for AI is growing rapidly and infrastructure remains a key priority. - We shared our latest perspective on why modern AI infrastructure is becoming a coordination system. - Continued conversations around distributed AI infrastructure, orchestration and inference at scale. - SuperAI Week reinforced our belief that the future of AI will be shaped not only by models but by the infrastructure that enables them. Building continues.

    3249011K viewsView on X
  • Apr 15, 20263.3x their median

    Your GPU. Your numbers. The FAR AI earnings calculator tells you exactly how much you could earn as a node operator. Try it. https://t.co/kS16QLshgl

    3192121K viewsView on X
  • Jun 25, 20263.2x their median

    Prediction: By 2030, global data center workloads are projected to split into: • 50% traditional workloads • 37% AI inference • 13% AI training Inference is set to become nearly 3× larger than training. As more AI applications move into production, builders will need infrastructure that can support lower-cost inference, reliable execution, faster routing and private workloads at scale. This is where FAR AI enters the market. Source: JLL Research, 2025

    3345021K viewsView on X
  • Jun 29, 20263.2x their median

    Agents make inference heavier. A June 2026 Codex study says active users grew more than 5x in the first half of the year, with over 10% of users managing 3 or more agents in a week. Each agent task can trigger model calls, tool use, retries and context updates. That creates longer runtime and higher compute pressure per task. FAR AI belongs at this layer: routing requests to suitable compute, making reliability visible and helping distributed GPU capacity support heavier AI workloads.

    3155011K viewsView on X
  • Jun 7, 20263.2x their median

    This week at FAR Labs👇 - Explored what happens when AI infrastructure shifts from serving models to coordinating intelligent systems at scale. New blog live: https://t.co/iv1hsoCQUF - Highlighted the growing gap between AI demand and the infrastructure required to support it. - Published a deep dive into the systems behind modern AI inference and the infrastructure powering every AI response: https://t.co/sRRXd0Q0Uh - Shared new industry insights on AI adoption, hybrid model usage, and infrastructure readiness in 2026. - Community discussion on what will define the next AI race. Faster inference led the conversation. - Continued conversations around distributed AI infrastructure, orchestration, and serving intelligence at scale. - Announced our participation at world's leading AI events: SuperAI Singapore (8-14 June) & London AI Summit (10-11 June). More ahead, stay tuned.

    26510018K 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 13 interactions against 167K followers, an engagement rate of 0.008%. Posts are seen about 3.9K times each, and 0.33% of those impressions turn into an interaction. That is about 2.36% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.17 posts a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 08:00 UTC, and Monday is the busiest day of the week. Of the 5 posts sampled, 60% carry an image or video. The account's strongest tracked post pulled 380 interactions, about 29x its own typical post. Only 5 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 FAR Labs's engagement rate on X?
FAR Labs (@FARLabsAI) has an engagement rate of 0.008%, based on the median interactions across 5 original posts from the last 30 days against 167,223 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.008%, FAR Labs sits above the 10th percentile of the 205,048 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 @FARLabsAI have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @FARLabsAI post?
Most posts go out around 08:00 UTC, and Monday is its busiest day, at roughly 0.17 posts per day across the measured window.

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