Doug Colkitt ✓

@0xdoug · joined 07 Aug 2021

Founder @slx_fi Founding contributor @fogo Ex: Quant

51 432Followers

2 643Following

6 874Posts total

2.2MViews on collected posts

Latest posts

Doug Colkitt ✓@0xdoug22 Sep

Bend 2 compiler that builds native SVM programs on @fogo and Solana Bend (unlike Rust) incorporates formal verification into the lang itself. Smart contracts can be proven safe before they're even written. Formal verification is table stakes for blockchains in an AI world. To h

6.2K views · 46 likes · 2 reposts · 7 replies Open on X →

Doug Colkitt ✓@0xdoug21 Sep

LLMs are built out of neural networks, so it was easy to extend to the fruit fly connectome The first brain ever uploaded to a blockchain. Every neuron fire running as standard Solana transactions on @fogo As long as the wallet's funded, this guy has digital immortality https:/

0:19

49.6K views · 119 likes · 9 reposts · 14 replies Open on X →

Doug Colkitt ✓@0xdoug20 Sep

A while ago, I realized that I needed to actually learn AI fundamentals, not just buzzwords. I'm also the type who learns more from building a prototype than reading 1000 papers This is a self-study course with that in mind. Build and train a working LLM from scratch. No https:

11.1K views · 103 likes · 3 reposts · 7 replies Open on X →

Doug Colkitt ✓@0xdoug17 Sep

Bend 2 is here! It is a new programming language that blocks AI mistakes via *proof checking* - the same technique big AI labs used to solve open math problems, like Navier-Stokes. It is also very fast, and runs on GPUs. Watch the video. Link in the comments. https://t.co/ux1d

4:20

1.7M views · 10.6K likes · 1.2K reposts · 620 replies Open on X →

Doug Colkitt ✓@0xdoug17 Sep

1/ This was really cool. For the first time, an LLM ran entirely on the blockchain. Weights, activations, attention, tokens all loaded and calculated onchain in a general purpose ledger. Every step in the process was a standard SVM transaction. https://t.co/xIRJWteLLl

1:50

81.6K views · 366 likes · 29 reposts · 24 replies Open on X →

Doug Colkitt ✓@0xdoug13 Sep

@0xdoug What if X and Y are sufficient to break current encryption algorithms or to cause mass casualties? AI doens't have to be better than humans in all dimensions for it to be dangerous. 131 views · 3 likes · 0 reposts · 0 replies Open on X →

Doug Colkitt ✓@0xdoug13 Sep

@0xdoug RSI can exist whilst not being better/faster than human research. Most people think of RSI when automated research > human research in all dimensions but that's just not really true from a definition pov 441 views · 4 likes · 0 reposts · 0 replies Open on X →

Doug Colkitt ✓@0xdoug5 Aug 2025

We made a perp dex. You should check it out. Now in @FogoChain testnet. 87.5K views · 352 likes · 19 reposts · 98 replies Open on X →

Doug Colkitt ✓@0xdoug5 Aug 2025

The greatest onchain perps experience has arrived on Fogo Testnet. Zero taker fees. CEX-grade UI. Gas fees? Nada. https://t.co/fRYfAFBpwI

0:34

272.7K views · 444 likes · 63 reposts · 89 replies Open on X →

Against accounts of the same size

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

Median views11 075this account996median for 10K–100K

Reach, %21.53%this account3.84%median for 10K–100K

Engagement, %0.90%this account1.51%median for 10K–100K

Metric	This account	Median for 10K–100K	Ratio
Median views per post	11 075	996	11.1×
Reach (views ÷ followers)	21.53%	3.84%	5.61×
Engagement rate	0.90%	1.51%	0.60×

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

272.7K5 Aug

87.5K

44113 Sep

131

81.6K17 Sep

1.7M

11.1K20 Sep

49.6K21 Sep

6.2K22 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

0.25%5 Aug

0.54%

0.91%13 Sep

2.29%

0.54%17 Sep

0.75%

1.03%20 Sep

0.32%21 Sep

0.90%22 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.51%.

What the audience does

Likes58.5%12 045 in total

Reposts6.6%1 350 in total

Replies4.2%859 in total

Quotes2.2%448 in total

Bookmarks28.6%5 879 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

Followers by day

14 Sep

Daily snapshots since 14 Sep 2026; the dashed line is the starting count.