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Followers

171.8K

Posts

11.2K

Following

235

Account age

4 yrs

💰 Suggested sponsorship rate

🎁 Free analysisfor FAR Labs

🕵️Fake Followers CheckReal-audience % & bot risk→ 📊Engagement rateBenchmarked vs. peers→ 💰What they chargeFair sponsored-post price→

Known for

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

195.6K views 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

Boris Cherny, creator of Claude Code, says agent loops now produce around 30% of his code on an average day.

These loops can review code, run tests, track feedback and continue working in the background. The result is not one inference request, but a chain of model calls that

19.2K views Boris Cherny, creator of Claude Code, says agent loops now produce around 30% of his code on an average day. These loops can review code, run tests, track feedback and continue working in the background. The result is not one inference request, but a chain of model calls that

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

18.5K views 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

Vista Equity Partners’ research, informed by production agents across 50+ portfolio companies, found that inference costs could be reduced by more than 80%, with accuracy staying within 1–2% of the most expensive alternative.

The difference comes down to smarter model selection,

18.3K views Vista Equity Partners’ research, informed by production agents across 50+ portfolio companies, found that inference costs could be reduced by more than 80%, with accuracy staying within 1–2% of the most expensive alternative. The difference comes down to smarter model selection,

📊 Post performance

📊 Activity & format

Posting cadence

0.74 / week

A lower-frequency account — each post lands with more weight.

Content mix

Mostly images

Recent: 1 video · 9 image · 7 text.

Follower / following

731×

Follows 235 back. A strong ratio — an audience that follows them, not a follow-for-follow network.

Verification

✓ X Premium

A paid X Premium (Blue) verified account.

Recent posts

View on X ↗

▶ 🔥 Top post 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 195.6K❤ 287🔁 104

Which metric tells you the most about real inference performance? 4.1K❤ 5🔁 6

As AI demand grows, a single cluster may not always offer the right capacity, latency or geographic proximity for every workload. The ability to determine where each inference request should run and route it accordingly, is becoming a crit… 3.8K❤ 15🔁 8 What will matter most for scaling AI infrastructure by 2030? 4.7K❤ 8🔁 1

A study published in Joule estimates that a typical frontier-model query consumes a median 0.31 Wh of energy. When queries are 15× longer in a test-time scaling scenario, estimated consumption rises to 3.91 Wh. This shows why inference wo… 4.1K❤ 11🔁 2

Strong hardware alone does not make a node reliable. Uptime, successful job completion, end-to-end latency and previous incidents all affect how well the network performs. FAR AI’s Reliability Score converts verified behavior into a rolli… 3.9K❤ 26🔁 14

Gartner expects global AI inference spending to reach $23.3 billion, ahead of the $19 billion allocated to training. Training develops model capabilities. Inference puts those capabilities to work in live applications, where every request… 3.6K❤ 17🔁 9

CNCF’s AI conformance program saw the number of certified platforms grow by nearly 70% in just a few months, reflecting growing demand for infrastructure built around common interfaces. FAR AI brings that simplicity to distributed inferen… 4.2K❤ 17🔁 5

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 s… 18.5K❤ 39🔁 22

Google Cloud research found that 83% of organizations need infrastructure upgrades to support production-grade AI agents. A single agent request can initiate long reasoning loops, tool calls, database queries and multiple downstream actio… 16.3K❤ 17🔁 4 Where do you think the biggest compute opportunity lies? 4.2K❤ 10🔁 3 Building with AI? Register for early access to FAR AI and claim 1M free credits when access opens 👇 29.1K❤ 26🔁 7

Boris Cherny, creator of Claude Code, says agent loops now produce around 30% of his code on an average day. These loops can review code, run tests, track feedback and continue working in the background. The result is not one inference re… 19.2K❤ 18🔁 3

💡 Facts

🗓️Joined X in 2022 — 4 years ago.

👁️Averages 16.3K views per post.

📤Posts about 0.7× per week.

💬0.03% engagement rate.

🏅Earned the 100K Followers for passing 100K followers.

🕵️ Fake follower check

Estimated

46/100

Fair Credibility score

69%

Mixed Real audience

Medium Fake-follower risk

High Data confidence

Est. 69% real, active audience · Medium fake-follower risk.
Low engagement (~9.5% of followers engage each post) — a sign of an inflated or inactive audience.
Organic base — far more followers than accounts it follows.
Verified account.
Established account (4+ years old).
0.03% engagement — below the ~2.2% typical for this size.

Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.

About

Building FAR AI | Cheaper, faster and scalable AI inference | Based on distributed compute | Powered by @Dizzaract https://farlabs.ai/

📸 Gallery

🔀 Audience overlap

Estimated

Estimated shared audience with similar creators — useful for avoiding overlap (or doubling down) when planning a campaign.

🦊 GitLab 16%

Roman Harper 15%

MARVEL SNAP 15%

柊木蓮@漫画家 15%

FeetFinder.com 13%

Cornwall Live 12%

More like this

🏆 Awards & milestones

🟣10K Followers10K followers

🟪100K Followers100K followers

Next: 💜 1M Followers — 828.2K followers to go

🛡️ Brand safety

✅Brand-safe90/100

✓ Verified / Partner account
✓ Established channel (4+ yrs)

A heuristic signal for brands from public data & recent titles — not a moderation verdict.

Details

PlatformX

JoinedJun 2022 · 4 yrs

Followers171,767

Updated1 month ago

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How many followers does FAR Labs have?

FAR Labs has 171,767 followers on X.