Alex Rives ✓

@alexrives · Brooklyn, NY · joined 07 Apr 2009

AI for scientific discovery. Head of Science, Biohub. Founder and scientific director of the ESM project.

14 729Followers

894Following

397Posts total

1.5MViews on collected posts

Against accounts of the same size

1 posts from the last 90 days, next to the 10K–100K follower range. shown widely, but few of those viewers react.

Median views660 878this account2 896median for 10K–100K

Reach, %4486.92%this account9.51%median for 10K–100K

Engagement, %0.71%this account1.56%median for 10K–100K

Metric	This account	Median for 10K–100K	Ratio
Median views per post	660 878	2 896	228×
Reach (views ÷ followers)	44.9× audience	9.51%	472×
Engagement rate	0.71%	1.56%	0.46×

Others in this range → Compare with another account → How these benchmarks are built →

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

20.1K31 Mar

19.3K1 Apr

133.3K29 Apr

622.9K27 May

24.2K

10.5K28 May

660.9K11 Jun

Last 7 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.22%31 Mar

0.68%1 Apr

0.72%29 Apr

0.36%27 May

0.25%

0.63%28 May

0.71%11 Jun

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.56%.

What the audience does

Likes59.8%6 578 in total

Reposts10.8%1 185 in total

Replies2.0%223 in total

Quotes2.3%249 in total

Bookmarks25.1%2 765 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.

Latest posts

Together with UC Berkeley we are announcing the laser phase plate - a breakthrough in atomic resolution imaging. This is the brightest continuous wave laser in the world, 100 million times the intensity of the surface of the sun. Phase contrast plays an important role in https:/ 660.9K views · 4K likes · 567 reposts · 92 replies 11 Jun 2026 Great talking with RJ and Brandon on the Latent Space AI for Science podcast, about protein language models, scaling in biology, and the new ESMFold2. 10.5K views · 52 likes · 9 reposts · 5 replies 28 May 2026 🆕Biohub’s Protein World Model: ESMC-6B, ESMFold2, 6.8B proteins, 1.1B structures, antibody design, SAEs, & the bitter lesson for biology https://t.co/2PGoHjttCS @biohub Head of Science @alexrives explains why biology may scale like language modeling, how metagenomics unlocke 24.2K views · 39 likes · 12 reposts · 7 replies 27 May 2026 Today we're announcing ESMFold2, an open scientific engine to power prediction, design, and discovery across protein biology. The new model delivers state of the art performance on protein interactions, especially antibodies, a critical modality for therapeutics. We have https: 622.9K views · 1.6K likes · 447 reposts · 75 replies 27 May 2026 Scaling laws are powering AI. It’s time to scale biology. Today we’re launching the Virtual Biology Initiative to generate the data to unlock scaling laws in biology and build accurate predictive models of the cell. Digital representations of proteins are already expanding our 133.3K views · 748 likes · 137 reposts · 38 replies 29 Apr 2026 Sequence is all you need. Protein language models set a new state of the art for predicting the clinical effect of genetic variations. https://t.co/RxNRgZrNgL 19.3K views · 117 likes · 10 reposts · 3 replies 01 Apr 2026 To me, this is a very satisfying result from a theoretical perspective, demonstrating in a sense that "sequence is all you need" for variant effect prediction. The model we introduce, #VESM (Variant-effect ESM), is entirely derived from within the ESM family without using any htt 20.1K views · 38 likes · 3 reposts · 3 replies 31 Mar 2026