Sahil Lavingia ✓

@shl · Brooklyn, NY · joined 18 Sep 2008

@IRS. Founder @Gumroad.

391 889Followers

782Following

41 665Posts total

1.2MViews on collected posts

Neueste Beiträge

Sahil Lavingia ✓@shl13 Sep

Over 10,000 GitHub stars My most starred repo isn’t code 🤔 105.9K views · 555 likes · 26 reposts · 42 replies Open on X →

Sahil Lavingia ✓@shl12 Sep

Pace me daddy 25.6K views · 275 likes · 13 reposts · 13 replies Open on X →

Sahil Lavingia ✓@shl3 Sep

99.99% of everything is solved 75K views · 697 likes · 33 reposts · 181 replies Open on X →

Sahil Lavingia ✓@shl1 Sep

@shl wtf you actually work at the IRS? i though you were joking 6.9K views · 3 likes · 0 reposts · 1 replies Open on X →

Sahil Lavingia ✓@shl1 Sep

@shl can my first task be to rewrite the https://t.co/OIbEmkfdLY site jfc 8.7K views · 10 likes · 0 reposts · 2 replies Open on X →

Sahil Lavingia ✓@shl1 Sep

@shl How do you deal with the crushing depression of working under an antagonistic administration? 5.1K views · 7 likes · 0 reposts · 1 replies Open on X →

Sahil Lavingia ✓@shl1 Sep

We’re hiring software engineers, product designers, and design engineers at the IRS! https://t.co/pzqMStDGuR 143.8K views · 587 likes · 21 reposts · 47 replies Open on X →

Sahil Lavingia ✓@shl27 Aug

https://t.co/zCSDwa3C1s 41.5K views · 42 likes · 0 reposts · 26 replies Open on X →

Sahil Lavingia ✓@shl23 Mar

@shl wow, those skills look really neat. @curiomens i have installed them via `asm`: > asm install https://t.co/Rknva4u3cD then you can select tools, skills that you want to pick more about `asm` - the agent skill manager: > github: https://t.co/O7TrkiVurn https://t.co/4LUua

4.2K views · 11 likes · 0 reposts · 1 replies Open on X →

Sahil Lavingia ✓@shl23 Mar

@shl We are watching the end of the traditional business book. Founders used to read operational philosophy for inspiration; now they literally download this and gtan's gStack as executable infrastructure. This shifts how we scale culture and strategy... 4.1K views · 16 likes · 0 reposts · 1 replies Open on X →

Sahil Lavingia ✓@shl23 Mar

@shl this is the unlock people sleep on. books are static but skills are executable. instead of reading about how to validate an idea you just run /validate-idea and it walks you through it with your actual context. turning knowledge into reusable workflows is the real moat for 2.6K views · 7 likes · 0 reposts · 0 replies Open on X →

Sahil Lavingia ✓@shl23 Mar

I turned The Minimalist Entrepreneur into 9 Claude Code skills. /find-community — find your people /validate-idea — test before you build /mvp — ship in a weekend /first-customers — sell to 100 people /pricing — charge something /marketing-plan — make fans, not headlines https:/

802.3K views · 3.7K likes · 301 reposts · 216 replies Open on X →

Im Vergleich zu Konten gleicher Größe

8 Beiträge aus den letzten 90 Tagen, verglichen mit der Größenklasse 100K–1M Follower. wird weit gezeigt, aber nur wenige dieser Zuschauer reagieren.

Medianaufrufe33 562dieses Konto6 097Median für 100K–1M

Reichweite, %8.56%dieses Konto1.65%Median für 100K–1M

Interaktion, %0.31%dieses Konto1.08%Median für 100K–1M

Kennzahl	Dieses Konto	Median für 100K–1M	Verhältnis
Medianaufrufe pro Beitrag	33 562	6 097	5.50×
Reichweite (Aufrufe ÷ Follower)	8.56%	1.65%	5.19×
Interaktionsrate	0.31%	1.08%	0.29×

Weitere Konten dieser Größe → Mit einem anderen Konto vergleichen → Wie diese Vergleichswerte entstehen →

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

802.3K23 Mar

2.6K

4.1K

4.2K

41.5K27 Aug

143.8K1 Sep

5.1K

8.7K

6.9K

75K3 Sep

25.6K12 Sep

105.9K13 Sep

Last 12 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.53%23 Mar

0.26%

0.42%

0.29%

0.16%27 Aug

0.46%1 Sep

0.16%

0.14%

0.06%

1.21%3 Sep

1.17%12 Sep

0.59%13 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 1.08%.

What the audience does

Likes37.2%5 906 in total

Reposts2.5%394 in total

Replies3.3%531 in total

Bookmarks56.9%9 032 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.

Neueste Beiträge

Im Vergleich zu Konten gleicher Größe

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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