Daniel Dhawan ✓

@daniel_dhawan · San Francisco, CA · joined 30 Dec 2018

Co-founder @rork | engineer, designer, prev physics

13 211Followers

2 248Following

2 809Posts total

159.4KViews on collected posts

Ultimi post

Daniel Dhawan ✓@daniel_dhawan2 Sep

Mostik is a cracked team of math PhDs that invented a new way of scaling LLMs by letting models directly share their internal compute states instead of communicating through text. In just 4 months of lock in, they got to #1 on ARC-AGI-3. Congrats on coming out of stealth 2.2K views · 32 likes · 1 reposts · 2 replies Open on X →

Daniel Dhawan ✓@daniel_dhawan23 Aug

My thoughts on Instinct and Grok @bot: both unexpectedly good, much better than ChatGPT Work I use Grok bot for work, and Instinct for personal as it’s one iMessage thread (tho it can parallelize itself) I’m amazed how good Instinct is at running long tasks and doing complex 2.7K views · 21 likes · 0 reposts · 3 replies Open on X →

Daniel Dhawan ✓@daniel_dhawan22 Aug

Now you can build iOS apps on Windows Rork team are alchemists solving previously impossible technical problems Great work @mozharovsky 3.7K views · 21 likes · 2 reposts · 4 replies Open on X →

Daniel Dhawan ✓@daniel_dhawan21 Aug

Had a great time last night at an App Founders Dinner Thanks to @zzwitz @helium for organizing https://t.co/6v7PUJsO06

3.5K views · 36 likes · 1 reposts · 5 replies Open on X →

Daniel Dhawan ✓@daniel_dhawan20 Aug

Introducing AI App Store Reviewer The average time it takes to get most apps approved on the App Store is ~4 weeks. This is why there are billions of websites but only millions of mobile apps Our goal to reduce it to ~24 hrs. (If you use “Expedited App Review” from Apple, 15.2K views · 69 likes · 7 reposts · 10 replies Open on X →

Daniel Dhawan ✓@daniel_dhawan20 Aug

Introducing AI App Store Reviewer Rork now predicts App Store rejections and fixes the issues behind them before you submit. The AI system we created scores 87% on our internal App Store Review benchmark, and it gets better every day Get approved on the first try. https://t.co/

0:22

132.1K views · 342 likes · 15 reposts · 39 replies Open on X →

Rispetto ad account della stessa dimensione

6 post degli ultimi 90 giorni, accanto alla fascia di 10K–100K follower. arriva a molti, ma pochi di loro reagiscono.

Visualizzazioni mediane3 602questo account924mediana per 10K–100K

Copertura, %27.27%questo account3.62%mediana per 10K–100K

Interazione, %0.81%questo account1.52%mediana per 10K–100K

Metrica	Questo account	Mediana per 10K–100K	Rapporto
Visualizzazioni mediane per post	3 602	924	3.90×
Copertura (visualizzazioni ÷ follower)	27.27%	3.62%	7.53×
Tasso di interazione	0.81%	1.52%	0.53×

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

132.1K20 Aug

15.2K

3.5K21 Aug

3.7K22 Aug

2.7K23 Aug

2.2K2 Sep

Last 6 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.30%20 Aug

0.56%

1.19%21 Aug

0.73%22 Aug

0.89%23 Aug

1.61%2 Sep

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

What the audience does

Likes50.7%521 in total

Reposts2.5%26 in total

Replies6.1%63 in total

Bookmarks40.7%418 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.