scott belsky ✓

@scottbelsky · NY/Etc · joined 02 Aug 2008

helping the creative world make ideas happen. partner @a24 / founder A24Labs; founder @Behance, bod @atlassian & MoMA, author, seed investor, product obsessive.

150 869Followers

1 990Following

23 994Posts total

19.2KViews on collected posts

Against accounts of the same size

4 posts from the last 90 days, next to the 100K–1M follower range. ordinary reach for its size, weaker reaction than most.

Median views4 773this account6 139median for 100K–1M

Reach, %3.16%this account2.61%median for 100K–1M

Engagement, %0.91%this account1.39%median for 100K–1M

Metric	This account	Median for 100K–1M	Ratio
Median views per post	4 773	6 139	0.78×
Reach (views ÷ followers)	3.16%	2.61%	1.21×
Engagement rate	0.91%	1.39%	0.66×

Others in this range → Compare with another account → How these benchmarks are built →

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

4.8K2 Sep

4.8K3 Sep

4.8K

4.9K

Last 4 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.34%2 Sep

1.18%3 Sep

0.65%

2.25%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 1.39%.

What the audience does

Likes66.2%176 in total

Reposts3.8%10 in total

Replies9.8%26 in total

Quotes0.4%1 in total

Bookmarks19.9%53 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.

Latest posts

perhaps, the more you know your category, the more you should rely on intuition over research and consensus? 4.9K views · 85 likes · 7 reposts · 17 replies 03 Sep 2026 big launch: murmur, from macroscope team, gives every agent its own dev environment, connects every agent to the GitHub lifecycle, and allows engineers to coordinate entire fleets of agents from the tools they already use. agents continue working until the change has landed. 4.8K views · 29 likes · 2 reposts · 0 replies 03 Sep 2026 to be or not to be a DAU, that is the question. with the rise of agents/ways to leverage the data and functionality of a tool without leveraging the tool itself, there is a new question percolating product teams across the industry: if a user makes use of a tool daily via 4.8K views · 47 likes · 1 reposts · 8 replies 03 Sep 2026 with all the excitement about space exploration, data centers, and the great beyond comes a whole new vector of security issues and need for cyber resilience. pretty inspiring to watch @dan__kelly and the @method_security team on pioneering this...space! 4.8K views · 15 likes · 0 reposts · 1 replies 02 Sep 2026 You know that iconic scene, at the end of The Matrix when Neo suddenly “gets it” and picks bullets out of thin air as if they are cute and curious little things? Been thinking: what’s the equivalent of “seeing the matrix” for product leaders? 10+ Realizations that come to mind: 0 views · 2.7K likes · 526 reposts · 148 replies 24 Sep 2021