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Neo AI ✓

@withneo · San Francisco, CA · joined 31 Dec 2022

First autonomous AI Engineer (34.2% on MLE Bench)

10 155Followers
19Following
662Posts total
874.6KViews on collected posts

Latest posts

NEO for VS Code & Cursor just got smarter. 📢 Introducing @ file tagging. Instead of describing where your code lives, simply type @ in chat and select the files you want NEO to work on. It uses exactly the context you provide, no pasted paths, no guesswork, no hunting through h 617 views · 11 likes · 2 reposts · 6 replies Open on X →
@withneo Kimi K3 catching data leakage that other models missed is huge 118 views · 0 likes · 0 reposts · 0 replies Open on X →
Full benchmark : https://t.co/HppcpuwRGp 183 views · 3 likes · 1 reposts · 0 replies Open on X →
Kimi K3 is now available in NEO.📢 It surpasses the majority of leading frontier models on coding benchmarks and has performed exceptionally well on AI engineering tasks in our internal evaluations. You can now use: • Kimi K3 • GPT-5.6 series • Fable 5 Simply bring your https: 1K views · 16 likes · 4 reposts · 8 replies Open on X →
Thinking about migrating to a Mixture-of-Experts model but worried about hidden latency spikes? Get hard numbers on cost and speed before you make the switch. Introducing the MoE Cost Analyzer : An open-source tool built autonomously by NEO, that definitively benchmarks Dense 812 views · 7 likes · 3 reposts · 7 replies Open on X →
https://t.co/lWQkX5JAZ1 878 views · 5 likes · 2 reposts · 1 replies Open on X →
@withneo I've been using it all day, and I'm actually blown away by what it can do. The only problem is, you kind of have to be an ML Engineer to truly appreciate how good it really is. 354 views · 4 likes · 1 reposts · 0 replies Open on X →
Improving the word error rate for whisper model on clinical speech dataset: https://t.co/Nhg8d0GqUR 2.5K views · 7 likes · 1 reposts · 1 replies Open on X →
Decomposing word-word correlation matrix and computing non-negative matrices: https://t.co/1sToUonjRD 2.1K views · 10 likes · 0 reposts · 0 replies Open on X →
Doing sleep stage data exploration and feature analysis using a publicly sourced wearable dataset: https://t.co/pv1Uf41ZE7 1.1K views · 7 likes · 1 reposts · 1 replies Open on X →
Get early access: https://t.co/SHJN4nqHna ✅ Neo is production-ready: ✅ Native integrations: Snowflake, Databricks, BigQuery, and more ✅ Deployable in your own VPC https://t.co/JecnuZIx3n 2.3K views · 15 likes · 1 reposts · 1 replies Open on X →
Watch NEO develop multiple ETA prediction models and perform comparative evaluation: https://t.co/9EAOHCstkJ 1.2K views · 9 likes · 0 reposts · 1 replies Open on X →
Introducing NEO: The first Autonomous Machine Learning Engineer. It works like a full-stack ML engineer that never sleeps: handling data exploration, feature engineering, training, tuning, deployment, and monitoring, end to end. Powered by 11 specialized agents, NEO runs htt 861.4K views · 374 likes · 57 reposts · 35 replies Open on X →

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

861.4K22 Aug
1.2K
2.3K
1.1K
2.1K
2.5K
35428 Sep
87818 Jul
81220 Jul
1K25 Jul
183
118
61727 Jul

Last 13 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.06%22 Aug
0.84%
0.73%
0.85%
0.48%
0.39%
1.41%28 Sep
0.91%18 Jul
2.09%20 Jul
2.68%25 Jul
2.19%
0.00%
3.08%27 Jul

Reactions — likes, reposts, replies and quotes — divided by views.

What the audience does

Likes47.7%468 in total
Reposts7.4%73 in total
Replies6.2%61 in total
Quotes1.3%13 in total
Bookmarks37.4%367 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.

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