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@sui414 · mainnet · joined 20 Aug 2016

Research Director @PanteraCapital. co-host @indexed_pod. previously data @ Flashbots ⚡️🤖 @0xProject @ConsenSys.

11 333Followers
1 960Following
5 017Posts total
65.5KViews on collected posts

Derniers posts

Really enjoyed the conversation with @apriori0x - we dived into every aspect of prediction markets as a platform, its user base, as well as the issues remaining. Give it a listen and let me know what you think! Full report materials for this podcast if you wanna dig into the 3.2K views · 33 likes · 5 reposts · 5 replies Open on X →
Our full @Polymarket H1 report, in partnership with @Surfdeveloper, is now live 👇 This report covers: * Venue growth, market composition, and fee economics * User growth, cohort profiles, and PnL breakdowns * Market structure and user behavior, fee sensitivity and entry timing 8.8K views · 45 likes · 13 reposts · 3 replies Open on X →
Prediction markets are all different. Each category has its own volume profile. Sports contract volume spikes during the games. Crypto market volume pops before market close. New Credible Commitments with @sui414 Research Director @PanteraCapital. 1. Kalshi & Polymarket http
1:06
7.9K views · 22 likes · 1 reposts · 2 replies Open on X →
Labubu for men just dropped 1.8K views · 7 likes · 0 reposts · 1 replies Open on X →
Just ordered my Microduck. On a journey to train him to become howard the alien. Follow for my journey. https://t.co/UDK1FPqYaI
0:29
2.7K views · 19 likes · 0 reposts · 3 replies Open on X →
@sui414 GPU prices differ NOT only because of different financial contracts. Even under the same type of contract a 30% spread or more still happens. 115 views · 2 likes · 0 reposts · 1 replies Open on X →
@sui414 best example is azure: spot at $1,29 vs on demand at $6,98 from the same vendor 5x for the same chip, contract type explains more than any spec sheet ever could. 177 views · 2 likes · 0 reposts · 0 replies Open on X →
@sui414 this is very cool. ty for putting it together 🫡 303 views · 4 likes · 0 reposts · 0 replies Open on X →
GPU prices differ fundamentally because you’re buying under different financial contracts. (besides other reasons - specs, market fragmentation, and quoted vs. cleared prices.) From all the public prices we audited, there are roughly 4 pricing tiers in the market today: ht
9.2K views · 110 likes · 13 reposts · 8 replies Open on X →
@sui414 https://t.co/beMq8dnbx2 253 views · 5 likes · 0 reposts · 0 replies Open on X →
@sui414 would love to chat with you about what we are seeing 637 views · 6 likes · 0 reposts · 1 replies Open on X →
@sui414 It’s because each deployment of a specific gpu line can be very different across things like internship bandwidth, redundancy, etc. 600 views · 6 likes · 0 reposts · 1 replies Open on X →
Been monitoring the situation at the Compute Market front - to start off: No One Knows How to Price the Market Yet. GPU prices and indices don’t agree with each other anywhere, and the spreads are WIDE across venues. https://t.co/v1DRLaZ8wx
22.5K views · 191 likes · 18 reposts · 23 replies Open on X →
https://t.co/7kneA2Ad11 7.2K views · 19 likes · 2 reposts · 4 replies Open on X →

Face aux comptes de taille comparable

14 posts des 90 derniers jours, à côté de la tranche de 10K–100K abonnés. diffusé largement, mais peu de ces spectateurs réagissent.

Vues médianes2 264ce compte924médiane pour 10K–100K
Portée, %19.97%ce compte3.62%médiane pour 10K–100K
Engagement, %1.11%ce compte1.52%médiane pour 10K–100K
IndicateurCe compteMédiane pour 10K–100KRapport
Vues médianes par post2 2649242.45×
Portée (vues ÷ abonnés)19.97%3.62%5.52×
Taux d'engagement1.11%1.52%0.73×

Autres comptes de cette tranche →   Comparer avec un autre compte →   Comment ces repères sont établis →

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

7.2K17 Aug
22.5K19 Aug
600
637
25320 Aug
9.2K25 Aug
303
177
11526 Aug
2.7K28 Aug
1.8K
7.9K2 Sep
8.8K
3.2K

Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.35%17 Aug
1.03%19 Aug
1.17%
1.10%
1.98%20 Aug
1.42%25 Aug
1.32%
1.13%
2.61%26 Aug
0.82%28 Aug
0.43%
0.32%2 Sep
0.69%
1.34%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes56.3%471 in total
Reposts6.2%52 in total
Replies6.2%52 in total
Bookmarks31.3%262 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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