Igor Babuschkin ✓

@ibab · Palo Alto, CA · joined 28 Feb 2020

CEO & Co-Founder @river_ai_inc. Previously @xAI, Research & Engineering

111 200Followers

893Following

1 174Posts total

1.3MViews on collected posts

Son gönderiler

Igor Babuschkin ✓@ibab6 Sep

The River AI team is co-hosting the Own Your Intelligence Hackathon with YC. Drop by to learn how you can finetune your own models on your data. We’ll give out free credits for our training API at the event. 44.7K views · 163 likes · 13 reposts · 14 replies Open on X →

Igor Babuschkin ✓@ibab5 Sep

You need to build and own your own intelligence: your own agent, your own models, your own memory Join us for the YC Own Your Intelligence Hackathon September 27 in San Francisco https://t.co/wBt9wYw8LC https://t.co/tlLUz8GDGO

185.9K views · 1.8K likes · 131 reposts · 126 replies Open on X →

Igor Babuschkin ✓@ibab20 Aug

Congrats to @Cisco_Invests on joining the River AI funding round! 14.7K views · 75 likes · 4 reposts · 6 replies Open on X →

Igor Babuschkin ✓@ibab20 Aug

We're thrilled to announce that @Cisco_Invests is joining River AI's $1.1B round as a strategic investor. Personal, user-owned AI needs the best of product and infrastructure behind it. @jpatel41 understands both deeply and we're excited to work with him and the @Cisco team. 23.6K views · 42 likes · 2 reposts · 0 replies Open on X →

Igor Babuschkin ✓@ibab17 Aug

The River API was tested in this blog post and outperformed Tinker on reinforcement learning runs with identical training code. We spent a lot of effort to get details like routing replay right so you get the best possible results with the API. 39.4K views · 189 likes · 14 reposts · 8 replies Open on X →

Igor Babuschkin ✓@ibab17 Aug

We can now RL large MoEs with 0 train-infer mismatch! And doing so can improve performance (pictured task: teach Qwen3.6-35B-A3B to play Wordle). Everything is open-source and we did a bunch of ablations. 🧵 https://t.co/ILyvrjE9Mm

90.8K views · 424 likes · 50 reposts · 15 replies Open on X →

Igor Babuschkin ✓@ibab11 Aug

I sat down with Hemant in his garden to discuss River AI's vision and our bets for how to democratize control of the AI systems we use every day. 22.4K views · 163 likes · 13 reposts · 8 replies Open on X →

Igor Babuschkin ✓@ibab11 Aug

@ibab Congrats Igor! Enjoyed your presentation last night 1.2K views · 11 likes · 1 reposts · 1 replies Open on X →

Igor Babuschkin ✓@ibab11 Aug

@ibab Congrats, Igor!! 3.1K views · 13 likes · 0 reposts · 1 replies Open on X →

Igor Babuschkin ✓@ibab11 Aug

@ibab Congrats! AI that works for each of us is a tough but necessary challenge 3.6K views · 17 likes · 2 reposts · 2 replies Open on X →

Igor Babuschkin ✓@ibab11 Aug

.@river_ai_inc has a new vision for personal AI. We co-led River’s $1.1B funding round because we believe in @ibab's ambition to build open-weight models that individuals can train and improve continuously. Watch @htaneja in conversation with Igor. Chapters 02:22 — Co-Founding

22:16

111.8K views · 121 likes · 13 reposts · 13 replies Open on X →

Igor Babuschkin ✓@ibab11 Aug

Today, we're sharing that River AI has raised $1.1 billion, led by @generalcatalyst and @amppublic with strategic investment from @nvidia and @AMD. Additional investors include @ycombinator and @Temasek. We imagine a future where your AI works entirely for you and deeply aligns 759.8K views · 852 likes · 75 reposts · 79 replies Open on X →

Aynı büyüklükteki hesaplara karşı

Son 90 güne ait 12 gönderi, 100K–1M takipçi aralığıyla yan yana. geniş kitleye gösteriliyor, ama izleyenlerin azı tepki veriyor.

Medyan görüntülenme31 496bu hesap5 983100K–1M için medyan

Erişim, %28.32%bu hesap1.49%100K–1M için medyan

Etkileşim, %0.55%bu hesap0.93%100K–1M için medyan

Ölçüt	Bu hesap	100K–1M için medyan	Oran
Gönderi başına medyan görüntülenme	31 496	5 983	5.26×
Erişim (görüntülenme ÷ takipçi)	28.32%	1.49%	19.0×
Etkileşim oranı	0.55%	0.93%	0.59×

Bu aralıktaki diğer hesaplar → Başka bir hesapla karşılaştır → Bu kıyas değerleri nasıl kuruluyor →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

759.8K11 Aug

111.8K

3.6K

3.1K

1.2K

22.4K

90.8K17 Aug

39.4K

23.6K20 Aug

14.7K

185.9K5 Sep

44.7K6 Sep

Last 12 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.14%11 Aug

0.14%

0.58%

0.45%

1.08%

0.83%

0.55%17 Aug

0.54%

0.19%20 Aug

0.58%

1.11%5 Sep

0.43%6 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.

What the audience does

Likes73.7%3 837 in total

Reposts6.1%318 in total

Replies5.2%273 in total

Quotes2.5%128 in total

Bookmarks12.4%647 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

Son gönderiler

Aynı büyüklükteki hesaplara karşı

Growth & engagement

Views per post

Engagement rate per post

What the audience does

Benzer hesaplar