Keerthana Gopalakrishnan ✓

@keerthanpg · San Francisco, CA · joined 15 Mar 2013

Mother of robots. Research Lead Gemini Robotics @GoogleDeepmind. Author of "AI for Robotics" book. Opinions my own.

136 987Followers

1 266Following

1 934Posts total

182KViews on collected posts

Latest posts

Keerthana Gopalakrishnan ✓@keerthanpg12 Sep

I hadn’t appreciated it at the time because India has such dim opportunities for Mechanical Engineers but they teach you very cool things - how to build a thermal / nuclear power plant, how to take apart a car and design combustion engines, how to build a refrigerator, how 11K views · 59 likes · 3 reposts · 5 replies Open on X →

Keerthana Gopalakrishnan ✓@keerthanpg12 Sep

Since starting in AI, I’ve often wondered whether spending half a decade getting various MechEng degrees was worthwhile. This week, with all that intense Navier–Stokes talk, feels like being transported to a past life. Really missing IIT 🥲 (Not you Thermofluidics 2 - you can 23.1K views · 116 likes · 4 reposts · 4 replies Open on X →

Keerthana Gopalakrishnan ✓@keerthanpg8 Sep

This is awesome. Very cool experiment from OpenAI. 16.5K views · 58 likes · 2 reposts · 1 replies Open on X →

Keerthana Gopalakrishnan ✓@keerthanpg29 Aug

Unfortunately there's a lot of grifting in robotics. 121.4K views · 534 likes · 9 reposts · 17 replies Open on X →

Keerthana Gopalakrishnan ✓@keerthanpg19 Aug

Gemini Robotics on Device, our smallest action model that fits on local inference and is based on open source Gemma, comfortably beats some of the largest action models out there on manipulation tasks and is a good base to build new research methods on top of. https://t.co/xECXSC

10K views · 54 likes · 5 reposts · 4 replies Open on X →

Against accounts of the same size

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

Median views16 527this account6 342median for 100K–1M

Reach, %12.06%this account1.82%median for 100K–1M

Engagement, %0.54%this account1.13%median for 100K–1M

Metric	This account	Median for 100K–1M	Ratio
Median views per post	16 527	6 342	2.61×
Reach (views ÷ followers)	12.06%	1.82%	6.63×
Engagement rate	0.54%	1.13%	0.47×

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

10K19 Aug

121.4K29 Aug

16.5K8 Sep

23.1K12 Sep

11K

Last 5 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.63%19 Aug

0.46%29 Aug

0.37%8 Sep

0.54%12 Sep

0.61%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 1.13%.

What the audience does

Likes77.8%821 in total

Reposts2.2%23 in total

Replies2.9%31 in total

Bookmarks17.1%180 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.