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Cysic ✓

@cysic_xyz

The full-stack ComputeFi network. Cysic turns GPUs, ASICs, and compute into liquid, yield-bearing assets.

161 892Followers
228Following
6 222Posts total
19.4KViews on collected posts

Posts recentes

@cysic_xyz So just to clarify: this is the original DeepSeek V4 Flash checkpoint, which already uses FP4 for the MoE experts and FP8 for the remaining weights not an additional quantization of a higher-precision model, right? 115 views · 1 likes · 0 reposts · 0 replies Open on X →
@cysic_xyz 💥💥💥💥 147 views · 0 likes · 0 reposts · 0 replies Open on X →
@cysic_xyz CyAI 😩💦 146 views · 0 likes · 0 reposts · 0 replies Open on X →
CyAI just got the official DeepSeek V4 Flash generating at 130+ tokens/sec on 8 RTX 4090s. That’s the full, original model – no quantization – running on GPUs anyone can buy. This deployment can now serve fast DeepSeek inference to CyAI. To our knowledge, we’re the first. 👀 ht
1:10
8.6K views · 50 likes · 8 reposts · 18 replies Open on X →
@cysic_xyz I have Allspark cube for sale 👌 8 views · 2 likes · 0 reposts · 0 replies Open on X →
4/ v1.0.3 is built to keep you moving. Faster startup. Less background work. Better performance as your projects grow. Update to v1.0.3 and get building. https://t.co/JLaDQ717EM 336 views · 4 likes · 0 reposts · 0 replies Open on X →
3/ CyOps v1.0.3 also stays more efficient when you have lots of sessions. With 50 idle sessions: • v1.0.2: 152+ database queries each check • v1.0.3: just 3 That’s 98% fewer queries, cutting unnecessary background work as your projects grow. 412 views · 4 likes · 0 reposts · 1 replies Open on X →
2/ First, CyOps gets you up and running faster. Compared with v1.0.2, the new version loads 74% less JavaScript on the first screen and comes with a 19.5% smaller app package. A smoother start means less time waiting, and more time building what matters. 686 views · 7 likes · 0 reposts · 1 replies Open on X →
1/ CyOps v1.0.3 is faster and smoother for everyday use. ⚡ • 30–45% better daily performance • 20–35% faster estimated warm launch • 74% less to load on the first screen • Up to 99% fewer idle queries Here’s what improved vs. v1.0.2 🧵👇 Try today: https://t.co/JLaDQ717EM https:
8.9K views · 37 likes · 7 reposts · 14 replies Open on X →

Em comparação com contas do mesmo porte

9 posts dos últimos 90 dias, ao lado da faixa de 100K–1M seguidores. alcança menos gente do que contas do mesmo porte.

Mediana de visualizações336esta conta5 983mediana para 100K–1M
Alcance, %0.21%esta conta1.49%mediana para 100K–1M
Engajamento, %0.95%esta conta0.93%mediana para 100K–1M
MétricaEsta contaMediana para 100K–1MProporção
Mediana de visualizações por post3365 9830.06×
Alcance (visualizações ÷ seguidores)0.21%1.49%0.14×
Taxa de engajamento0.95%0.93%1.02×

Outras contas desta faixa →   Comparar com outra conta →   Como estas referências são construídas →

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

8.9K20 Aug
686
412
336
8
8.6K21 Aug
146
147
115

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

0.67%20 Aug
1.17%
1.21%
1.19%
25.00%
0.95%21 Aug
0.00%
0.00%
0.87%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.

What the audience does

Likes62.9%105 in total
Reposts9.0%15 in total
Replies20.4%34 in total
Quotes4.8%8 in total
Bookmarks3.0%5 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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