Theo - t3.gg, roasted @theo's X (Twitter) account, graded with its own numbers
Content grade
D
over-caffeinated AI influencer
@theo: From CEO to Content Machine Gun?
@theo posts 11.84 times a day, promising CEO insights but delivering a firehose of AI model opinions with a 1.21% engagement rate.
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- Followers
- 362.9K
- Following
- 4.2K
- Posts on X
- 64.2K
- Engagement rate
- 1.21%
- Posts a day
- 11.84
- Reply share
- 0%
- Avg likes
- 2.4K
- Avg views
- 257.9K
Counts as of ; everything else from @theo's last 20 posts. Engagement rate is likes, reposts and replies divided by views, averaged per post. The numbers are real; the jokes are ours. View @theo on X
@theo's likes and posting schedule
The best of @theo's recent posts got 5,989 likes; the average is 2,412. Friday gets the most posts, and 18:00 to 21:00 UTC is the busiest window.
Each bar is one recent post, oldest to newest. The highlighted one is the outlier doing all the work; the rest is the baseline reality.
Friday gets the most posts. The weekly rhythm, such as it is.
Every three-hour window. A healthy account has a shape here; a phone addiction is flat.
Why @theo got a D
The verdict: over-caffeinated AI influencer. Here are the receipts.
The Bio's Big Dreams
@theo's bio boasts 'Full time CEO @t3dotchat. Part time YouTuber, investor, and developer.' It promises a multifaceted titan of industry. Yet, the content rarely ventures beyond AI model comparisons and technical minutiae, making the 'CEO' and 'investor' titles feel less like a job and more like a hashtag.
The Posting Schedule of a Madman
With an average of 11.84 posts per day and 64,158 posts total, @theo appears to be treating X like a personal AI-powered exhaust pipe. They posted zero times on Sunday, Monday, and Tuesday, but crammed 6 posts into Thursday and 13 into Friday. It's a schedule designed for burnout, not engagement.
Engagement's Embarrassing Reality
Despite the relentless posting, @theo hovers at a dismal 1.21% average engagement rate. Their top posts, like the Kimi k3 breakdown with 5989 likes, hit 472,340 impressions. But for every viral moment, there are dozens of posts that vanish into the digital ether, like a tweet with 1072 likes and 165,147 impressions on July 18th.
The Content Copy-Paste Conundrum
The content is overwhelmingly focused on AI models, specifically Kimi K3 and GPT-5.6 Sol, often with lengthy explanations. Out of 64,158 posts, the top terms are 'same', 'kimi', 'model', 'codex', 'claude'. This repetitive loop might explain the 1.21% engagement rate. The reply ratio is a flat 0%, meaning they're not even engaging with their own audience.
Exhibits A to C
The evidence: @theo's 3 most-liked recent posts, straight from X. Their best work, for the record.
- Exhibit A
Kimi k3 is an incredible model. It is not an incredible value. In most tasks, it comes out to roughly the same cost as GPT-5.6 Sol. K3 is half the price of 5.6 Sol per token. GPT-5.6 uses half as many tokens. Price evens
6K likes472.3K views
- Exhibit B
Kimi K3 is so good at 3d stuff holy shit
4.9K likes255.3K views
- Exhibit C
Normally I don’t comment on rumors, but if Kimi K3 actually beats out Opus 4.8 that’s nuts Also hearing Opus 5 might drop?
4.7K likes270.8K views
One genuine tip for @theo
Consider focusing your posting schedule into fewer, higher-quality threads that explore the 'CEO' and 'investor' aspects mentioned in your bio, rather than just listing AI model features. This could help elevate your content beyond technical details and resonate more broadly.
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