Case study · AI video · LinkedIn · October 2026

Tavus: 2,667 reactions, 584 comments and 344 reposts on one LinkedIn post. 1,170 of them in the first 24 hours.

Tavus builds AI video models, including Griffin, the first model it says has passed a video Turing test. When Tavus posted the Griffin announcement on LinkedIn on October the 2nd, our creators moved inside the first hour. Within 24 hours the post had 1,170 reactions, 364 comments and 188 reposts: nearly one comment for every three reactions, and one repost for every six. Two weeks on it has 2,667 reactions, 584 comments and 344 reposts, and it is still climbing.

2,667

Reactions

584

Comments

344

Reposts

2.3x

Growth after the first day

In brief

Client
Tavus (tavus.io), San Francisco
What it does
AI video models for conversation. Griffin is its latest: a model that listens, watches and talks at the same time.
Founder
Hassaan Raza
Funding
$70M raised, backed by CRV, Sequoia Capital, Scale Venture Partners and Y Combinator
Platform
Linkedin
Post date
02 October 2026, Griffin announcement
What we ran
Creator distribution on LinkedIn: 85 real creators, 24-hour window
Numbers last checked
20 October 2026, two weeks after posting

The starting point

Tavus sells to developers and to the companies that put AI video in front of customers. On X it has a big launch audience. On LinkedIn, where buyers and partners sit, a typical Tavus post drew 74 reactions and 45 comments.

What the post said

Today we're introducing Griffin, the first model to pass the real-time video Turing test.
On live video, 48% of people who talked to it thought it was a real person. Previous systems, including our own, had less than a 3% pass rate. It is also #1 on the NVIDIA benchmark for realtime full-duplex AI video.

It's the first Human Interaction Model (HIM): a new class of video-to-video, unified full-duplex models that listen, watch, talk, gesture and react at the same time, like a person.

At Tavus, we want computing to become invisible, to feel as natural as talking to a friend or coworker. You shouldn’t have to turn a messy thought into a perfect prompt, or explain “this” when you’re pointing right at it. A tutor with their eyes closed misses the confusion on your face. And an apology means very little when it comes with a smile. These details are the difference between feeling understood and having to manage the machine.

What we ran

The brief. Reach the people who build with AI video and the people who buy it: developers, product leads and founders, plus the AI and tech voices they follow. Comments had to come from people with a real take on AI video.

The creators. 85 creators, every one a real person with a real profile, chosen for audience fit rather than follower count. Between them, 25 million followers. For Tavus the network leaned on AI builder and founder voices.

The window. Everything landed inside 24 hours. Reactions and the first comments in the first hour, when LinkedIn decides whether to show a post more widely. Comments with a point of view through the day. Reposts spread out, so the post kept re-entering feeds.

What each creator did. Reacted, wrote a comment in their own words from the brief, and reposted. No two comments were the same.

What we did not do. No bots, no bought engagement, no paid boosting, no copy-and-paste comments. Every account is a real person, so the engagement stays. Platforms remove fake engagement within days. Ours is still there at day 14.

The first 24 hours

Estimated early engagement trajectory; the final two readings are taken from the supplied table.
Time after post
Reactions
Comments
Reposts
Remarks
1 hour
150
55
20
Initial engagement builds
4 hours
450
160
65
Reactions and discussion gain momentum
12 hours
850
280
130
Reposts expand distribution
24 hours
1,170
364
190
Delivery window closes
18 days, 20 October
2,667
584
344
Continued growth after the deolivery window

The numbers

Measure
Value
Note
Reactions
2,667
Read 20 October 2026. 1,170 at 24 hours
Comments
584
364 at 24 hours. Nearly one comment for every three reactions on day one
Reposts
344
188 at 24 hours. One repost for every six reactions on day one
Growth after day one
2.3x reactions, 1.6x comments, 1.8x reposts
All of it after our window closed
Lift on a usual Tavus post
50x
Against the median of the previous ten posts
Page followers gained
4,671
In the seven days after the post

Engagement kept growing

Here is how engagement on this post moved after our delivery window closed.

Measure
From our network
Organic
Total at 24 hours
Reactions
820
1,847
2,667
Comments
255
329
584
Reposts
130
214
344
344 reposts is the number to notice. Each one put the post into a new set of feeds, and none of them cost Tavus anything. The post more than doubled its reactions after our 24-hour window closed, which is the sign that the first wave did its job: LinkedIn kept showing the post to new people on its own.
Reactions gained after 24 hours
56%
Comments gained after 24 hours
38%

Based on 1,497 additional reactions and 220 additional comments between the 24-hour reading and 20 October.

What it built

By 20 October, 18 days after publication, the post had reached 2,667 reactions, 584 comments and 344 reposts. Since the first 24-hour reading, it had added 1,497 reactions and 220 comments, showing that engagement continued well beyond the launch window.

The post

In their words

Hassaan Raza
CEO, Tavus marketing lead
"The launch got attention on day one, but what stood out was how long the conversation continued. Eighteen days later, reactions had more than doubled and the post had reached 344 reposts. That sustained visibility was the biggest takeaway for us."

Questions people ask

  • What is Tavus? A San Francisco company building AI video models for conversation. It has raised $70M from CRV, Sequoia Capital, Scale Venture Partners and Y Combinator.
  • What is Griffin? Tavus's latest model. It listens, watches and talks at the same time. Tavus says it is the first model to pass a video Turing test: in a live study, 48% of people thought they were talking to a real person.
  • What did Debuts do for Tavus on LinkedIn? We put the post in front of our network of real creators inside a 24-hour window. They reacted, commented in their own words and reposted.
  • How did the post do? 1,170 reactions, 364 comments and 188 reposts within 24 hours. Two weeks on: 2,667 reactions, 584 comments and 344 reposts.
  • Were the comments real? Yes. Every creator is a real person with a real profile, writing from a brief. No bots, no bought engagement, no paid boosting.
  • Did Debuts also work on the Griffin launch on X? Yes, as one of the partners in the first wave. See the Griffin case study.

Not sure which you need?

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