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⭐6.6M influencer listings 🏢77.9K sponsor listings 🌍91.8B combined audience reach 📊13 platforms indexed 🗺️130+ countries covered 🏷️10,000+ niches 🦋2.9M Bluesky creators 🎙️1.3M podcast creators 🟣1.1M Twitch creators 📈380.4K Pinterest creators 🥊209.8K Kick creators 𝕏200.3K X creators 🐘199.2K Mastodon creators 112.1K YouTube creators 🎵90.8K TikTok creators ✈️82.7K Telegram creators 🎮11.5K Discord creators 🎬4.6K Rumble creators 📈3.8K Substack creators 🧵2.7K Threads creators ⭐6.6M influencer listings 🏢77.9K sponsor listings 🌍91.8B combined audience reach 📊13 platforms indexed 🗺️130+ countries covered 🏷️10,000+ niches 🦋2.9M Bluesky creators 🎙️1.3M podcast creators 🟣1.1M Twitch creators 📈380.4K Pinterest creators 🥊209.8K Kick creators 𝕏200.3K X creators 🐘199.2K Mastodon creators 112.1K YouTube creators 🎵90.8K TikTok creators ✈️82.7K Telegram creators 🎮11.5K Discord creators 🎬4.6K Rumble creators 📈3.8K Substack creators 🧵2.7K Threads creators
Stefano Ermon

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X @stefanoermon
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📣Sponsored postOne tweet with your link and creative. $1,871→ 🧵Sponsored threadA multi-tweet thread — X rewards long-form, threads out-reac… $4,678→ 🎬Sponsored video postA dedicated video tweet — X pushes video hard, so it gets pr… $2,619→ 📌Pinned postA sponsored post pinned to the top of my profile for the mon… $5,613/mo→ 📍Post + pin comboA sponsored post that also stays pinned for a set number of … $2,994→ 🔁Repost / quote-tweet packageI repost or quote-tweet your posts through the month — distr… $3,742/mo→ 🔗Bio link placementYour link in my bio for the month — X allows only one, so it… $2,807/mo→ 🎙️X Spaces appearance / hostI host or feature you in an X Space (live audio) — a branded… $3,742→ 🤝Cross-promo / mutual shoutoutWe shout each other out — a value swap between accounts. Swap→ 🎬UGC HireBranded content for your own channels & ads from $819→ 🎙️Podcast guest spotInvite Stefano Ermon onto your podcast (~45 min, remote) $818→ 📞1:1 ConsultPaid video call — advice, coaching or Q&A $131/hr→

Every booking is a normal escrow-protected deal.

Followers
233.8K
Posts
877
Following
343
Account age
13 yrs
🎁 Free analysisfor Stefano Ermon
🕵️Fake Followers CheckReal-audience % & bot risk→ 📊Engagement rateBenchmarked vs. peers→ 💰What they chargeFair sponsored-post price→

Known for

Mercury 2 is live 🚀🚀 The world’s first reasoning diffusion LLM, delivering 5x faster performance than leading speed-optimized LLMs. Watching the team turn years of research into a real product never gets old, and I’m incredibly proud of what we’ve built. We’re just getting 1M views Mercury 2 is live 🚀🚀 The world’s first reasoning diffusion LLM, delivering 5x faster performance than leading speed-optimized LLMs. Watching the team turn years of research into a real product never gets old, and I’m incredibly proud of what we’ve built. We’re just getting

📊 Post performance

53.8K
Avg views / post
23%
Reach vs followers
Feb 2013
On X since

🔥 Top post: Mercury 2 is live 🚀🚀 The world’s first reasoning diffusion LLM, · 1M views

📊 Activity & format

Posting cadence
0.04 / week
A lower-frequency account — each post lands with more weight.
Content mix
Mostly text
Recent: 2 video · 3 image · 13 text.
Follower / following
682×
Follows 343 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 Mercury 2 is live 🚀🚀 The world’s first reasoning diffusion LLM, delivering 5x faster performance than leading speed-optimized LLMs. Watching the team turn years of research into a real product never gets old, and I’m incredibly proud of what we’ve built. We’re just getting 1M❤ 4.2K🔁 883
@elonmusk @_inception_ai Totally agree. Diffusion works on any bitstream, and once you remove the sequential bottleneck, you unlock a new regime of speed and fidelity. For text, the small delay to first sentence is often outweighed by mass… 57.1K❤ 568🔁 32 When we began applying diffusion to language in my lab at Stanford, many doubted it could work. That research became Mercury diffusion LLM: 10X faster, more efficient, and now the foundation of @_inception_ai. Proud to raise $50M with su… 200.9K❤ 1.3K🔁 119 Tired of chasing references across dozens of papers? This monograph distills it all: the principles, intuition, and math behind diffusion models. Thrilled to share! 127.2K❤ 1.1K🔁 143 @shengjia_zhao So proud to see this, Shengjia. It’s been a joy to be your PhD advisor and watch your path evolve. Excited to see where you and the team take things next! 32.2K❤ 461🔁 10 Huge milestone from the team! A blazing-fast diffusion LLM built for chat, delivering real-time performance at commercial scale. If you liked Mercury Coder for code, you'll love this for conversation. 36K❤ 185🔁 39 Excited to share that I’ve been working on scaling up diffusion language models at Inception. A new generation of LLMs with unprecedented capabilities is coming! 50.3K❤ 682🔁 117 Diffusion models are state-of-the-art for continuous data generation (images, videos, etc). Can they beat autoregressive models also on text generation? Check out our ICML paper tomorrow to find out how. Congrats to my students @aaron_lou… 33.4K❤ 303🔁 39 A paper blatantly plagiarized our CTM paper (see some of their verbatim copy&paste below). Feeling bad for my junior collaborators @gimdong58085414 and @JCJesseLai who worked so hard on this. 69.6K❤ 197🔁 30 Very excited about this work: diffusion models finally bridging the gap with autoregressive models on language! 58.6K❤ 291🔁 29 Check out our Stable Diffusion checkpoints fine-tuned with DPO (Direct Preference Optimization, outstanding paper runner up at Neurips). Paper: 41.4K❤ 162🔁 21 Really excited about this work! We figured out how to apply DPO (Direct Preference Optimization) to diffusion models and got big improvements in image quality 53.8K❤ 185🔁 23

💡 Facts

🗓️Joined X in 2013 — 13 years ago.
👁️Averages 53.8K views per post.
📤Posts about 0× per week.
💬0.33% 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 (~0.2× 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 (13+ years old).
  • 0.33% engagement — below the ~14.4% typical for this size.

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

About

AI Prof @Stanford | Cofounder @_inception_ai | Co-inventor of DDIM, FlashAttention, DPO, GAIL, and score-based/diffusion models

📸 Gallery

Mercury 2 is live 🚀🚀 The world’s first reasoning diffusion LLM, delivering 5x faster performance than leading speed-optimized LLMs. Watching the team turn years of research into a real product never gets old, and I’m incredibly proud of what we’ve built. We’re just getting Thrilled to share that our paper "Comparing Distributions by Measuring Differences that Affect Decision Making" wins #ICLR2022 Outstanding Paper Award🎉https://t.co/OsqNJzoutx Congratulations to my awesome students @shengjia_zhao @a7b2_3 @electronickale Aidan @baaadas👏 Super proud of my student Aditya who successfully defended his #PhD dissertation today! He has done awesome work on unsupervised learning with generative models. Congrats, Dr. @adityagrover_ 👏🎊🎉 If all training images for a GAN/VAE/PixelCNN have 2 objects, will they only generate images with 2 objects? If trained on (🔵,💙,🔴), will they also generate ❤️? Find out in @shengjia_zhao's blog post on generalization and bias for generative models. 👉https://t.co/xgVTrzPjiJ Vintage AI hype: NYTimes on the perceptron (1958)

🔀 Audience overlap

Estimated

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

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Stefano Ermon has 233,830 followers on X.

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