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Daniel Von Fange

@danielvf · East Coast · joined 09 Sep 2006

Skilled Professional (most days). Defends against the bad guys.

12 265Followers
1 329Following
3 772Posts total
86.8KViews on collected posts

Against accounts of the same size

8 posts from the last 90 days, next to the 10K–100K follower range. shown to more people than peers of the same size.

Median views2 148this account2 578median for 10K–100K
Reach, %17.51%this account7.77%median for 10K–100K
Engagement, %1.13%this account1.47%median for 10K–100K
MetricThis accountMedian for 10K–100KRatio
Median views per post2 1482 5780.83×
Reach (views ÷ followers)17.51%7.77%2.25×
Engagement rate1.13%1.47%0.77×

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

14.6K28 Aug
2.3K31 Aug
2K1 Sep
61.3K2 Sep
1.3K
486
312
4.5K3 Sep

Last 8 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.97%28 Aug
2.13%31 Aug
1.96%1 Sep
0.86%2 Sep
0.95%
1.65%
1.28%
0.90%3 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.47%.

What the audience does

Likes66.2%673 in total
Reposts5.9%60 in total
Replies7.0%71 in total
Quotes1.8%18 in total
Bookmarks19.1%194 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

So every AI company, cloudflare, and aws, all just spiked up on down dectector. Wonder what got hit. https://t.co/R0LkwbncdX 4.5K views · 32 likes · 3 reposts · 5 replies 03 Sep 2026 @danielvf your visualization game >>> 312 views · 4 likes · 0 reposts · 0 replies 02 Sep 2026 @danielvf this is really impressive 486 views · 7 likes · 0 reposts · 1 replies 02 Sep 2026 @danielvf Crazy. Does this mean we'll have onchain LLMs or better models (hypothetically) at some stage? 1.3K views · 10 likes · 0 reposts · 2 replies 02 Sep 2026 Actual neural net being trained in the EVM. 200K gas inference, about 340K gas training step, including loading and storing all weights to storage with MIP-8. Still room to optimize. https://t.co/gTJDmRieRI 61.3K views · 429 likes · 39 reposts · 43 replies 02 Sep 2026 Heads up. Glamsterdam will be increasing by 10,000 gas the initial gas price on storage writes to an existing slot. (EIP-8038 for the details) 2K views · 35 likes · 2 reposts · 3 replies 01 Sep 2026 Competent smart contract developers alway design to minimize storage slot use. That is the biggest limit on what is possible. This week Monad changes to give 128 slot reads for the price of two and a half reads. That's 4kb of data. Changes what is possible. Updates cheap too. ht 2.3K views · 40 likes · 3 reposts · 5 replies 31 Aug 2026 UniswapV2 will use ~half as much gas to swap on Monad next week as MIP-8 goes live. Instead of slowly one-by-one loading storage slots from disk, Monad will grab 128 slots for the access cost of one slot. Then super cheap and fast to use. (MIP-8 on bottom, 2xing) https://t.co/k 14.6K views · 116 likes · 13 reposts · 12 replies 28 Aug 2026

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