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Keone Hon ✓

@keoneHD · joined 27 Jan 2009

cofounder / GM @monad 💜 Leave me feedback: https://t.co/w2foQf8XW0

143 888Followers
1 556Following
15 096Posts total
934.4KViews on collected posts

Postingan terbaru

@keoneHD NFTs on Monad https://t.co/Q3gjBbWxLA
250 views · 14 likes · 1 reposts · 0 replies Open on X →
@keoneHD They’re all wonderful! https://t.co/4vZzZp58uo
311 views · 9 likes · 0 reposts · 0 replies Open on X →
NFTs, on Monad 32.1K views · 503 likes · 65 reposts · 162 replies Open on X →
@keoneHD launchpad is ready on Monad mainnet https://t.co/oQSNdTZLiK 179 views · 18 likes · 0 reposts · 0 replies Open on X →
@keoneHD https://t.co/hxf7ObuD6U
0:12
955 views · 11 likes · 0 reposts · 2 replies Open on X →
@keoneHD I am bullish on memecoins. I believe they will be a big part of crypto adoption https://t.co/7WN2pxYqoz
421 views · 9 likes · 1 reposts · 1 replies Open on X →
I am bullish on NFTs. I believe they will be a big part of crypto adoption 48.3K views · 996 likes · 116 reposts · 334 replies Open on X →
Good explainer on MIP-8! 6K views · 110 likes · 10 reposts · 8 replies Open on X →
An excellent technical blog post about how @category_xyz is using invariant testing to defend Monad's staking module behavior 5.5K views · 132 likes · 17 reposts · 16 replies Open on X →
This gang keeps on working to make the EVM great again. Props @monad @category_xyz on unfucking storage For the layman, normally Ethereum’s solidity smart contracts store data in 32-byte “slots.” Balances, positions, configuration, whatever the application needs all ultimately 4.9K views · 42 likes · 6 reposts · 3 replies Open on X →
MIP-8 is live today on Monad mainnet! MIP-8 addresses a huge inefficiency in how state is stored in the EVM, by assigning contiguous slots to the same disk page, thus making lookups of multiple contiguous slots MUCH cheaper Now each chunk of 128 slots only costs one lookup, how 15.9K views · 300 likes · 42 reposts · 45 replies Open on X →
Tasks requiring a lot of state need to be smart about disk paging, i.e. need store the data in contiguous chunks so they live on the same page. That's the power of MIP-8, it un-fucks the EVM storage patterns 10.4K views · 181 likes · 19 reposts · 24 replies Open on X →
@keoneHD https://t.co/k34D6JX5TH
534 views · 9 likes · 0 reposts · 1 replies Open on X →
@keoneHD 🫡 https://t.co/lHynyHXIY8
348 views · 8 likes · 0 reposts · 0 replies Open on X →
@keoneHD open by design 🔥 486 views · 9 likes · 0 reposts · 0 replies Open on X →
https://t.co/tHFF8a8LXN 77.3K views · 466 likes · 89 reposts · 97 replies Open on X →
@keoneHD And scam community 1.8K views · 110 likes · 0 reposts · 4 replies Open on X →
@keoneHD @monad dudes will read this and go hell yeah 10.4K views · 157 likes · 0 reposts · 36 replies Open on X →
@keoneHD great summary, I like how even people from other chains are acknowledging that it's pretty impressive 7.3K views · 178 likes · 1 reposts · 11 replies Open on X →
What Monad has so far: - High quality open-source C++/rust codebase with many HFT-style optimizations and architectural changes - Public audits and clear docs that put the technology first. Transparency -- no hand-waving, no unsubstantiated claims - High-performance system 710.9K views · 3.9K likes · 577 reposts · 1.5K replies Open on X →

Dibandingkan akun berukuran sama

16 postingan dari 90 hari terakhir, dibandingkan dengan rentang 100K–1M pengikut. tampil jauh melampaui audiensnya sendiri, dan audiens itu merespons.

Median tayangan2 922akun ini5 983median untuk 100K–1M
Jangkauan, %2.03%akun ini1.49%median untuk 100K–1M
Interaksi, %2.37%akun ini0.93%median untuk 100K–1M
MetrikAkun iniMedian untuk 100K–1MRasio
Median tayangan per postingan2 9225 9830.49×
Jangkauan (tayangan ÷ pengikut)2.03%1.49%1.36×
Tingkat interaksi2.37%0.93%2.55×

Akun lain pada rentang ini →   Bandingkan dengan akun lain →   Bagaimana tolok ukur ini disusun →

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

34810 Aug
534
10.4K2 Sep
15.9K3 Sep
4.9K
5.5K
6K
48.3K7 Sep
421
955
179
32.1K17 Sep
311
250

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

2.30%10 Aug
1.87%
2.18%2 Sep
2.52%3 Sep
1.06%
3.00%
2.14%
3.14%7 Sep
2.61%
1.36%
10.06%
2.44%17 Sep
2.89%
6.00%

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

What the audience does

Likes65.7%7 204 in total
Reposts8.6%944 in total
Replies20.6%2 259 in total
Quotes3.0%324 in total
Bookmarks2.1%229 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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