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Make a deal with Devendra Chaplot
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Auto-generated from Devendra Chaplot’s publicly available X info.
Devendra Chaplot hasn’t claimed, verified, or endorsed it, and is not affiliated with, sponsored by, or a partner of SocialDB. Any rates shown are estimates, not set by the creator.
Followers
68.5K
Posts
695
Following
527
Account age
16 yrs
💰 Suggested sponsorship rate
$384 – $624 / sponsored post
Estimated from audience size & typical reach — every deal is negotiable and held in SocialDB escrow.
🎁 Free analysisfor Devendra Chaplot
Known for
43.7M views
I'm joining SpaceX and xAI, working closely with Elon and team to build superintelligence.
Together SpaceX and xAI combine physical and digital intelligence under a leader who understands hardware at the deepest level. Add a high-agency culture with frontier-scale resources, and
435.7K views
We just released Mixtral 8x7B paper on Arxiv:
https://t.co/wn0kOOFTcJ
304.6K views
Super excited to announce Mistral Large 2
- 123B params - fits on a single H100 node
- Natively Multilingual
- Strong code & reasoning
- SOTA function calling
- Open-weights for non-commercial usage
Blog: https://t.co/5nRrlNH9Sj
Weights: https://t.co/1s94W1NfVR
1/N
292K views
Today, we are announcing two new exciting updates:
Pixtral Large:
Frontier-class 124B multimodal model, powering the new Le Chat.
Brand new Le Chat:
With web search, canvas, image-gen, image understanding & more- all for free!
1/3
📊 Post performance
Recent posts · views
Jan 9latest
95.2K
Avg views / post
68.5K–292K
Typical post (views)
1.4×
Reach vs followers
0/100
Spiky reach
Apr 2010
On X since
Half of recent posts land between 68.5K and 292K views (median 110.6K) — reach is spiky, driven by the occasional post that pops.
🔥 Top post: I'm joining SpaceX and xAI, working closely with Elon and team t · 43.7M views
📊 Activity & format
Posting cadence
0.06 / week
A lower-frequency account — each post lands with more weight.
Content mix
Mostly images
Recent: 1 video · 11 image · 6 text.
Follower / following
130×
Follows 527 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
I'm joining SpaceX and xAI, working closely with Elon and team to build superintelligence.
Together SpaceX and xAI combine physical and digital intelligence under a leader who understands hardware at the deepest level. Add a high-agency culture with frontier-scale resources, an…
Today we’re excited to add gpt-oss and DeepSeek model families to Tinker - one of our top community requests.
With Tinker, you can train a 671B parameter model on your laptop in just a few lines of code.
No GPU rentals. No CUDA. No cluste…
Announcing our first product: Tinker!
Tinker is a training API for everyone! It lets you focus on what matters in LLM training - your data and algorithms - while we handle the heavy lifting of distributed training.
You can train your own…
Career Update: Incredibly fortunate and excited to be part of the founding team at Thinking Machines Lab!
https://t.co/AESmw30MoY
Join us:
https://t.co/fVcqkWxLkw
Career update: After an incredible journey at Mistral AI, I made the hard decision to leave and pursue another exciting opportunity. Will share more details very soon!
Very proud of the Mistral team and their accomplishments, I wish them …
Today, we are announcing two new exciting updates:
Pixtral Large:
Frontier-class 124B multimodal model, powering the new Le Chat.
Brand new Le Chat:
With web search, canvas, image-gen, image understanding & more- all for free!
1/3
We just released the weights of Pixtral 12B base model on HuggingFace:
Pixtral 12B Base:
https://t.co/5VBsDOXouq
Also link to Pixtral 12B Instruct:
We just released Pixtral 12B paper on Arxiv:
https://t.co/3ljqF7WtAt
Super excited to announce Mistral Large 2
- 123B params - fits on a single H100 node
- Natively Multilingual
- Strong code & reasoning
- SOTA function calling
- Open-weights for non-commercial usage
Blog: https://t.co/5nRrlNH9Sj
Weigh…
Excited to announce our first code model: Codestral-22B!
- Fluent in 80+ programming languages
- Outperforms all open code models
- Available on our API and for free on Le Chat
- Integrated with VS Code
- Weights: https://t.co/0kPbYrxQk2
-…
We just released mistral-finetune, the official repo and guide on how to fine-tune Mistral open-source models using LoRA:
https://t.co/4JX3eNbbso
Also released Mistral-7B-Instruct-v0.3 with support for function calling with Apache 2.0 lic…
We just released Mixtral-8x22B-v0.1 and Mixtral-8x22B-Instruct-v0.1:
- Free to use under Apache 2.0 license
- Outperforms all open models
- Native function calling
- Masters English, French, Italian, German and Spanish.
- Seq_len = 64K
h…
Career Update: Incredibly fortunate and excited to be part of the founding team at Thinking Machines Lab!
https://t.co/AESmw30MoY
Join us:
https://t.co/fVcqkWxLkw
Career update: After an incredible journey at Mistral AI, I made the hard decision to leave and pursue another exciting opportunity. Will share more details very soon!
Very proud of the Mistral team and their accomplishments, I wish them …
Today, we are announcing two new exciting updates:
Pixtral Large:
Frontier-class 124B multimodal model, powering the new Le Chat.
Brand new Le Chat:
With web search, canvas, image-gen, image understanding & more- all for free!
1/3
We just released the weights of Pixtral 12B base model on HuggingFace:
Pixtral 12B Base:
https://t.co/5VBsDOXouq
Also link to Pixtral 12B Instruct:
We just released Pixtral 12B paper on Arxiv:
https://t.co/3ljqF7WtAt
Super excited to announce Mistral Large 2
- 123B params - fits on a single H100 node
- Natively Multilingual
- Strong code & reasoning
- SOTA function calling
- Open-weights for non-commercial usage
Blog: https://t.co/5nRrlNH9Sj
Weigh…
Excited to announce our first code model: Codestral-22B!
- Fluent in 80+ programming languages
- Outperforms all open code models
- Available on our API and for free on Le Chat
- Integrated with VS Code
- Weights: https://t.co/0kPbYrxQk2
-…
We just released mistral-finetune, the official repo and guide on how to fine-tune Mistral open-source models using LoRA:
https://t.co/4JX3eNbbso
Also released Mistral-7B-Instruct-v0.3 with support for function calling with Apache 2.0 lic…
We just released Mixtral-8x22B-v0.1 and Mixtral-8x22B-Instruct-v0.1:
- Free to use under Apache 2.0 license
- Outperforms all open models
- Native function calling
- Masters English, French, Italian, German and Spanish.
- Seq_len = 64K
h…
💡 Facts
🗓️Joined X in 2010 — 16 years ago.
👁️Averages 95.2K views per post.
📤Posts about 0.1× per week.
💬4.16% engagement rate.
🏅Earned the 10K Followers for passing 10K followers.
🕵️ Fake follower check
Estimated69/100
Good
Credibility score
85%
Real
Real audience
Low
Fake-follower risk
High
Data confidence
- Est. 85% real, active audience · Low fake-follower risk.
- Engagement (~1.4× of followers engage each post) is around typical for X.
- Organic base — far more followers than accounts it follows.
- Verified account.
- Established account (16+ years old).
- 4.16% engagement — below the ~8.8% typical for this size.
Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.
📸 Gallery
🔀 Audience overlap
EstimatedEstimated shared audience with similar creators — useful for avoiding overlap (or doubling down) when planning a campaign.
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Frequently asked questions
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How many followers does Devendra Chaplot have?
Devendra Chaplot has 68,531 followers on X.
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