Arpit Bhayani ✓

@arpit_bhayani · blr · joined 23 Dec 2009

building https://t.co/Gr668c5lqP • curating https://t.co/IyLtJNHe70 • AI @Razorpay • db • ex-staff @google (memorystore, dataproc) • @TheDiceDB • 1x founder • prev @unacademy, amazon

126 588Followers

1 264Following

11 849Posts total

271.9KViews on collected posts

Ultimi post

Arpit Bhayani ✓@arpit_bhayani11 Sep

@arpit_bhayani If you dont review your PR , customers will. 1.2K views · 19 likes · 0 reposts · 1 replies Open on X →

Arpit Bhayani ✓@arpit_bhayani11 Sep

Applied AI Cohort 5 starting tomorrow. Re-doing my notes, and I will be starting with this. Acc to me, knowledge is a solved problem for the work that we have to deal with, so what we need to focus on are just two things 1. Classic - First Principle Thinking So that we take the

16.5K views · 327 likes · 7 reposts · 9 replies Open on X →

Arpit Bhayani ✓@arpit_bhayani11 Sep

@arpit_bhayani i think it’s high time now we remove the whole PR opening and reviewing ceremony. Harness engineering, context engineering and verification loops much more attention than spending time reviewing sloppified code commits 14.8K views · 88 likes · 1 reposts · 6 replies Open on X →

Arpit Bhayani ✓@arpit_bhayani11 Sep

@arpit_bhayani You guys raising PRs? Weren’t we supposed to push to main directly? 3.3K views · 38 likes · 0 reposts · 5 replies Open on X →

Arpit Bhayani ✓@arpit_bhayani11 Sep

Are you manually reviewing PRs? Or are you also giving them to Claude and pretending you did it? 143.3K views · 1.4K likes · 19 reposts · 255 replies Open on X →

Arpit Bhayani ✓@arpit_bhayani11 Sep

When your regular work feels mundane, you need to solve a different kind of problem. I switch to simulating something from the real world... In my second year of college, in C, I reimplemented the then-popular Pocket Tanks game, which involved projectile motion. In the first 21.1K views · 493 likes · 22 reposts · 19 replies Open on X →

Arpit Bhayani ✓@arpit_bhayani10 Sep

Hyperion is such a great, gripping sci-fi novel. Took me a couple of rereads to get through the first 11 pages and get into the flow, but after that, a genuine page-turner. 12.5K views · 205 likes · 6 reposts · 8 replies Open on X →

Arpit Bhayani ✓@arpit_bhayani10 Sep

@arpit_bhayani There's lot of groundwork that has already been done to make this possible. This is not some 1 shot solution people are hyping about. Thousands of scientists with computer/AI assistance have been working at it since early 2000. 1.7K views · 11 likes · 0 reposts · 0 replies Open on X →

Arpit Bhayani ✓@arpit_bhayani10 Sep

@arpit_bhayani Isn't it AI stealing research and publishing as its own? 3.2K views · 55 likes · 0 reposts · 3 replies Open on X →

Arpit Bhayani ✓@arpit_bhayani10 Sep

@arpit_bhayani what’s your take on the entire accusation of theft on openai right now? https://t.co/VAv3B3jTlw 3.9K views · 23 likes · 0 reposts · 0 replies Open on X →

Arpit Bhayani ✓@arpit_bhayani10 Sep

If you think Navier-Stokes is some random math problem that OpenAI has been able to solve, please go read about it and understand why it is such a big deal. AI accelerating science and research is so freaking cool. 50.3K views · 1.2K likes · 29 reposts · 31 replies Open on X →

Rispetto ad account della stessa dimensione

11 post degli ultimi 90 giorni, accanto alla fascia di 100K–1M follower. arriva ben oltre il proprio pubblico, e quel pubblico reagisce.

Visualizzazioni mediane12 543questo account5 951mediana per 100K–1M

Copertura, %9.91%questo account1.59%mediana per 100K–1M

Interazione, %1.62%questo account1.04%mediana per 100K–1M

Metrica	Questo account	Mediana per 100K–1M	Rapporto
Visualizzazioni mediane per post	12 543	5 951	2.11×
Copertura (visualizzazioni ÷ follower)	9.91%	1.59%	6.23×
Tasso di interazione	1.62%	1.04%	1.56×

Altri account di questa fascia → Confronta con un altro account → Come sono costruiti questi parametri →

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

50.3K10 Sep

3.9K

3.2K

1.7K

12.5K

21.1K11 Sep

143.3K

3.3K

14.8K

16.5K

1.2K

Last 11 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

2.49%10 Sep

0.59%

1.79%

0.65%

1.75%

2.53%11 Sep

1.13%

1.29%

0.64%

2.08%

1.62%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 1.04%.

What the audience does

Likes77.5%3 802 in total

Reposts1.7%84 in total

Replies6.9%337 in total

Bookmarks14.0%685 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.

Ultimi post

Rispetto ad account della stessa dimensione

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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