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Anish Acharya ✓

@illscience · San Francisco · joined 13 Mar 2009

🦞AI Apps investing @ A16Z; A1111; Boards of Ethos, Krea, Deel, Clutch, Untitled, Happy Robot + more; If you’re not at the table, you’re on the menu

33 553Followers
2 879Following
3 886Posts total
1.2MViews on collected posts

Postingan terbaru

lovely + dense convo w @lennysan re: "what if it works": - decentralization + everything is working: this product cycle has more winners and more ways to win, yet many in SV are oddly nursing a dark fantasy about being outside the lightcone - climbing the ambition ladder: 4.6K views · 23 likes · 3 reposts · 4 replies Open on X →
Think of what's happening here - Astra is using a very complicated piece of software, writing music, dialing in effects and using samples in a dope and tasteful manner. What gets me isn’t just that it can use the software. It’s the musical choices. This model is something https 26.8K views · 332 likes · 15 reposts · 33 replies Open on X →
Planet Endor via Fable 5.1 https://t.co/CfsKqIr03k 6.9K views · 40 likes · 0 reposts · 8 replies Open on X →
I'd like to better understand Preserved Thinking in Fable 5.1 and the implications - does this mean that you can no longer use Fable 5.1 for planning and then, say, Opus 5 for execution without losing the reasoning traces? Very curious for views.. https://t.co/3pGGPaWuoy 7.2K views · 36 likes · 0 reposts · 5 replies Open on X →
Tatooine https://t.co/fTMEp69SXM 30.1K views · 80 likes · 1 reposts · 9 replies Open on X →
@illscience this is excellent! 3.5K views · 11 likes · 0 reposts · 0 replies Open on X →
@illscience great read, spot on! the two comments on the substack also point to an interesting false dichotomy: we need individuality and personalization, but that doesn't make excellent, premium craft (one to many) irrelevant. maybe the best of these things are layered, and it 4.6K views · 12 likes · 0 reposts · 1 replies Open on X →
@illscience Love this - we’re all builders at heart 1.4K views · 6 likes · 0 reposts · 0 replies Open on X →
https://t.co/BNnRp4EMsP 1.1M views · 1.9K likes · 290 reposts · 118 replies Open on X →

Dibandingkan akun berukuran sama

5 postingan dari 90 hari terakhir, dibandingkan dengan rentang 10K–100K pengikut. tampil luas, tetapi sedikit penonton yang merespons.

Median tayangan7 173akun ini924median untuk 10K–100K
Jangkauan, %21.38%akun ini3.62%median untuk 10K–100K
Interaksi, %0.68%akun ini1.52%median untuk 10K–100K
MetrikAkun iniMedian untuk 10K–100KRasio
Median tayangan per postingan7 1739247.76×
Jangkauan (tayangan ÷ pengikut)21.38%3.62%5.91×
Tingkat interaksi0.68%1.52%0.45×

Akun lain pada rentang ini →   Bandingkan dengan akun lain →   Bagaimana tolok ukur ini disusun →

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

1.1M13 Jul
1.4K
4.6K14 Jul
3.5K
30.1K8 Aug
7.2K2 Sep
6.9K
26.8K4 Sep
4.6K6 Sep

Last 9 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.23%13 Jul
0.42%
0.29%14 Jul
0.31%
0.31%8 Aug
0.57%2 Sep
0.70%
1.44%4 Sep
0.68%6 Sep

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

What the audience does

Likes33.0%2 450 in total
Reposts4.2%309 in total
Replies2.4%178 in total
Quotes2.3%172 in total
Bookmarks58.2%4 322 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.

Akun serupa