Abhishek Nagaraj ✓

@abhishekn · San Francisco, CA · joined 29 May 2008

Associate Prof @berkeleyhaas, NBER RA. Dad to 2 girls. he/him/his. Interested in using tech, AI and data to drive progress. Using ideas as my maps.

12 796Followers

6 393Following

8 599Posts total

520.7KViews on collected posts

Derniers posts

Abhishek Nagaraj ✓@abhishekn8 Sep

since some people are asking, here are Astra's calcs https://t.co/wdkQIRd3F9

12K views · 38 likes · 0 reposts · 5 replies Open on X →

Abhishek Nagaraj ✓@abhishekn8 Sep

@abhishekn Just needs time? https://t.co/YKABrKtYc2

6.9K views · 140 likes · 4 reposts · 3 replies Open on X →

Abhishek Nagaraj ✓@abhishekn8 Sep

By my calculations, just the compute here (300 BILLION output tokens) would cost a regular user $20-$30 million in tokens. How do we sustain this level of investment in science once the AI companies have decided that its no longer worth their time/effort to go after everything 469.1K views · 992 likes · 53 reposts · 182 replies Open on X →

Abhishek Nagaraj ✓@abhishekn4 Sep

. @SuproteemSarkar is doing some of the coolest AI+Econ work out there! 1.1K views · 7 likes · 3 reposts · 0 replies Open on X →

Abhishek Nagaraj ✓@abhishekn4 Sep

Can’t wait for the world to discover all the Mahabharata stories, 1.4K views · 12 likes · 0 reposts · 1 replies Open on X →

Abhishek Nagaraj ✓@abhishekn3 Sep

so jealous!! forward thinking of @OppInsights to have @aniketapanjwani engage with them. Every research org big or small needs a deep rethink of every step in how they produce research and how they collaborate. this involves both doing existing workflows differently, but also 3.6K views · 19 likes · 2 reposts · 0 replies Open on X →

Abhishek Nagaraj ✓@abhishekn3 Sep

In July, I spent a week at Harvard training researchers at Opportunity Insights on agentic coding and helping them develop a comprehensive AI strategy. Part of what made this tricky is that OI's research production function is much different from the average economist: > Large h 9.3K views · 63 likes · 6 reposts · 3 replies Open on X →

Abhishek Nagaraj ✓@abhishekn2 Sep

this, a hundred times, this. 1.3K views · 6 likes · 2 reposts · 0 replies Open on X →

Abhishek Nagaraj ✓@abhishekn2 Sep

Our policy is to be in charge of technical terms. Recent agents love introducing technical-seeming terms, but strong communication involves developing a small number of precisely defined terms and applying them consistently. 1.9K views · 11 likes · 0 reposts · 1 replies Open on X →

Abhishek Nagaraj ✓@abhishekn26 Aug

🚨🚨 NEW RESEARCH ALERT! 🚨🚨 Excited to release new WP with lab colleagues @kennywongchamch @krisgulati and #MinMinFong. This paper asks a simple question: how do we rank models on real work tasks when they are coaching rather than when they're playing? Answer: the best https://t 14.1K views · 119 likes · 29 reposts · 8 replies Open on X →

Face aux comptes de taille comparable

10 posts des 90 derniers jours, à côté de la tranche de 10K–100K abonnés. diffusé largement, mais peu de ces spectateurs réagissent.

Vues médianes5 274ce compte924médiane pour 10K–100K

Portée, %41.22%ce compte3.62%médiane pour 10K–100K

Engagement, %0.73%ce compte1.52%médiane pour 10K–100K

Indicateur	Ce compte	Médiane pour 10K–100K	Rapport
Vues médianes par post	5 274	924	5.71×
Portée (vues ÷ abonnés)	41.22%	3.62%	11.4×
Taux d'engagement	0.73%	1.52%	0.48×

Autres comptes de cette tranche → Comparer avec un autre compte → Comment ces repères sont établis →

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

14.1K26 Aug

1.9K2 Sep

1.3K

9.3K3 Sep

3.6K

1.4K4 Sep

1.1K

469.1K8 Sep

6.9K

12K

Last 10 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.14%26 Aug

0.67%2 Sep

0.62%

0.80%3 Sep

0.58%

0.91%4 Sep

0.94%

0.26%8 Sep

2.12%

0.36%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes64.4%1 407 in total

Reposts4.5%99 in total

Replies9.3%203 in total

Quotes0.3%7 in total

Bookmarks21.5%469 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.

Comptes similaires

Frequently asked questions about @abhishekn

How many followers does @abhishekn have?

12 796 followers.

How many posts has @abhishekn published?

8 599 posts.

How do posts by @abhishekn perform?

Collected posts: 10. Views: 520 718. Likes: 1 407.