Josh Goodbody ✓

@JoshGoodbody · joined 05 Jan 2009

Co-Founder / COO @kohai_co @BasedAI_co Founder @Wardenprotocol Ex. Binance, Huobi & reformed TradFi lawyer

44 276Followers

2 626Following

2 516Posts total

356.8KViews on collected posts

Latest posts

Josh Goodbody ✓@JoshGoodbody9 Sep

Ok - this is alarming. But what is the alternative? If the US pumps the brakes, China is likely to overtake. That would amount to conceding leadership in the most consequential technology race in human history, to its largest strategic rival. What's the answer here? 980 views · 4 likes · 1 reposts · 3 replies Open on X →

Josh Goodbody ✓@JoshGoodbody8 Sep

Reposting this because it has never been more relevant. Astra is incredibly capable. But you don’t need it reading your inbox. Instinct is refreshing as hell. Booking flights, sourcing limited-edition baseball cards, taking care of life admin. But it’s free. And if it’s free, 968 views · 9 likes · 3 reposts · 2 replies Open on X →

Josh Goodbody ✓@JoshGoodbody24 Jul

MOOD https://t.co/hH8oYAdjIU

2.8K views · 17 likes · 0 reposts · 17 replies Open on X →

Josh Goodbody ✓@JoshGoodbody23 Jul

https://t.co/r0LOrIShkU 2.4K views · 15 likes · 2 reposts · 1 replies Open on X →

Josh Goodbody ✓@JoshGoodbody19 Jul

Interesting take from @hosseeb. I don’t think the dumping analogy is helpful, though. Why? Pharma has: 1. High marginal cost of production and incredibly strict IP enforcement. 2.Long, discrete R&D cycles. In contrast, AI models today have: 1.Near-zero marginal distribution 2.2K views · 13 likes · 2 reposts · 9 replies Open on X →

Josh Goodbody ✓@JoshGoodbody18 Jul

This argument by @deanwball is being badly misunderstood. It's OK to disagree with it, but first you have to actually understand what he's saying. He's saying: releasing the weights for a frontier-level model is effectively dumping. Dumping is when you sell a product at 347.4K views · 637 likes · 61 reposts · 233 replies Open on X →

Against accounts of the same size

6 posts from the last 90 days, next to the 10K–100K follower range. shown widely, but few of those viewers react.

Median views2 291this account992median for 10K–100K

Reach, %5.17%this account3.89%median for 10K–100K

Engagement, %0.95%this account1.54%median for 10K–100K

Metric	This account	Median for 10K–100K	Ratio
Median views per post	2 291	992	2.31×
Reach (views ÷ followers)	5.17%	3.89%	1.33×
Engagement rate	0.95%	1.54%	0.62×

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

347.4K18 Jul

2.2K19 Jul

2.4K23 Jul

2.8K24 Jul

9688 Sep

9809 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

0.27%18 Jul

1.09%19 Jul

0.76%23 Jul

1.20%24 Jul

1.45%8 Sep

0.82%9 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.54%.

What the audience does

Likes48.9%695 in total

Reposts4.9%69 in total

Replies18.6%265 in total

Bookmarks27.6%393 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.