wayne chang ✓

@Wayne · Manhattan, NY · joined 04 Dec 2008

Building things people want

32 318Followers

718Following

919Posts total

303.3KViews on collected posts

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wayne chang ✓@Wayne15 Jun

Gladiator show at the Colosseum https://t.co/GGDEgmUZ4P

855 views · 5 likes · 0 reposts · 4 replies Open on X →

wayne chang ✓@Wayne1 Jun

I’m a member / FM of many clubs (Aman, Seia, The Moore, Club 33, CORE, Battery, Ned, Quin, Soho Malibu, Centurion, etc) and Drink with Me is one of my favorites. Come drink with us 2.2K views · 6 likes · 1 reposts · 0 replies Open on X →

wayne chang ✓@Wayne31 May

A year ago, I announced that I had gotten a California liquor license! Why? So @Sommjoshua could work with wineries to buy wine directly and bypass much of the middleman fuss and markup. We had almost 50 Founding members join us with the goal of making sure that winemaking 179.3K views · 497 likes · 24 reposts · 53 replies Open on X →

wayne chang ✓@Wayne11 Oct 2025

Could not agree more. 🔮 3.6K views · 5 likes · 0 reposts · 5 replies Open on X →

wayne chang ✓@Wayne10 Oct 2025

Read the full piece in the a16z newsletter. https://t.co/5tdSoLnGmE

106.2K views · 102 likes · 7 reposts · 7 replies Open on X →

wayne chang ✓@Wayne12 Jul 2025

The most dangerous advice given to founders isn't about pre-scaling infrastructure, scaling your team, etc. It's the pressure to chase trends, build for consensus, and force a solution into a pre-existing box-of-the-moment. This path leads to incremental products fighting for 2.9K views · 15 likes · 2 reposts · 4 replies Open on X →

wayne chang ✓@Wayne25 Jun 2025

The AI industry has a trust problem because it has a precision problem. I know, because I was forced to solve it. After seeing "black box" AI fail in high-stakes environments where proof is everything, we built a new kind of intelligence from the ground up. Today, we're https:/

8.3K views · 17 likes · 4 reposts · 3 replies Open on X →

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

8.3K25 Jun

2.9K12 Jul

106.2K10 Oct

3.6K11 Oct

179.3K31 May

2.2K1 Jun

85515 Jun

Last 7 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.29%25 Jun

0.72%12 Jul

0.11%10 Oct

0.28%11 Oct

0.32%31 May

0.32%1 Jun

1.05%15 Jun

Reactions — likes, reposts, replies and quotes — divided by views.

What the audience does

Likes57.0%647 in total

Reposts3.3%38 in total

Replies6.7%76 in total

Bookmarks33.0%375 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.

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Growth & engagement

Views per post

Engagement rate per post

What the audience does

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