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TH

Bryan Chen

@XiliangChen · Auckland, New Zealand · joined 10 May 2010

Co-Founder and CTO of @AcalaNetwork, @KaruraNetwork, and @LaminarProtocol

26 058Followers
371Following
1 482Posts total
8KViews on collected posts

โพสต์ล่าสุด

@XiliangChen Can we get a update from Acala??? 39 views · 0 likes · 0 reposts · 0 replies Open on X →
@XiliangChen Asian scammers https://t.co/aHAaqygFPi
47 views · 1 likes · 0 reposts · 0 replies Open on X →
@XiliangChen Fuck you scammer 98 views · 6 likes · 0 reposts · 0 replies Open on X →
it is interesting that how much openclaw can do but it can’t manage itself. I don’t really want to figure out how to use the gateway ui to do things. just do it for me would you? 1.4K views · 17 likes · 0 reposts · 15 replies Open on X →
why spend all the time figuring out how to configure claude and install skills when you can just ask claude to do it for you and generate project specific skills using best practices from internet 1.4K views · 11 likes · 0 reposts · 9 replies Open on X →
@XiliangChen am writing from Istanbul, Türkiye. Acala Network has been added to Binance's watchlist and its price has started to fall. Our situation is very bad. Will there be a meeting with Binance regarding this? Please provide information, I have suffered significant losses 27 views · 0 likes · 0 reposts · 0 replies Open on X →
Seems like ChatGPT wants me to be polite. Thank you, ChatGPT. https://t.co/PAmq82pQEp https://t.co/3gmuxbAgqF
1.2K views · 1 likes · 0 reposts · 2 replies Open on X →
Are there any study of prompt engineering to compare effectiveness using words of MUST vs FXXKING MUST? I am seriously considering if I should update my default prompting template to inject some words everywhere. 1.4K views · 8 likes · 0 reposts · 4 replies Open on X →
ChatGPT 5.1 is very confident and unsurprisingly it didn't work 💁 https://t.co/TYT9OH6dnI
1.4K views · 7 likes · 0 reposts · 4 replies Open on X →
One major regression of gemini 3 pro I found is it is much weaker to handle prompt injection. Editing source code containing some tool defs will make it attempt to call those tools that are not actually available. Not impressed. 1K views · 5 likes · 0 reposts · 1 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

1K19 Nov
1.4K3 Dec
1.4K16 Dec
1.2K
275 Jan
1.4K27 Jan
1.4K12 Feb
98
4713 Feb
391 May

Last 10 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.59%19 Nov
0.81%3 Dec
0.84%16 Dec
0.25%
0.00%5 Jan
1.44%27 Jan
2.30%12 Feb
6.12%
2.13%13 Feb
0.00%1 May

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

What the audience does

Likes59.6%56 in total
Replies37.2%35 in total
Bookmarks3.2%3 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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