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

โพสต์ล่าสุด

Keone Hon ✓@keoneHD17 Sep

@keoneHD NFTs on Monad https://t.co/Q3gjBbWxLA

250 views · 14 likes · 1 reposts · 0 replies Open on X →

Keone Hon ✓@keoneHD17 Sep

@keoneHD They’re all wonderful! https://t.co/4vZzZp58uo

311 views · 9 likes · 0 reposts · 0 replies Open on X →

Keone Hon ✓@keoneHD17 Sep

NFTs, on Monad 32.1K views · 503 likes · 65 reposts · 162 replies Open on X →

Keone Hon ✓@keoneHD7 Sep

@keoneHD launchpad is ready on Monad mainnet https://t.co/oQSNdTZLiK 179 views · 18 likes · 0 reposts · 0 replies Open on X →

Keone Hon ✓@keoneHD7 Sep

@keoneHD https://t.co/hxf7ObuD6U

0:12

955 views · 11 likes · 0 reposts · 2 replies Open on X →

Keone Hon ✓@keoneHD7 Sep

@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 →

Keone Hon ✓@keoneHD7 Sep

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 →

Keone Hon ✓@keoneHD3 Sep

Good explainer on MIP-8! 6K views · 110 likes · 10 reposts · 8 replies Open on X →

Keone Hon ✓@keoneHD3 Sep

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 →

Keone Hon ✓@keoneHD3 Sep

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 →

Keone Hon ✓@keoneHD3 Sep

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 →

Keone Hon ✓@keoneHD2 Sep

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 →

Keone Hon ✓@keoneHD10 Aug

@keoneHD https://t.co/k34D6JX5TH

534 views · 9 likes · 0 reposts · 1 replies Open on X →

Keone Hon ✓@keoneHD10 Aug

@keoneHD 🫡 https://t.co/lHynyHXIY8

348 views · 8 likes · 0 reposts · 0 replies Open on X →

Keone Hon ✓@keoneHD10 Aug

@keoneHD open by design 🔥 486 views · 9 likes · 0 reposts · 0 replies Open on X →

Keone Hon ✓@keoneHD10 Aug

https://t.co/tHFF8a8LXN 77.3K views · 466 likes · 89 reposts · 97 replies Open on X →

Keone Hon ✓@keoneHD19 Oct 2025

@keoneHD And scam community 1.8K views · 110 likes · 0 reposts · 4 replies Open on X →

Keone Hon ✓@keoneHD19 Oct 2025

@keoneHD @monad dudes will read this and go hell yeah 10.4K views · 157 likes · 0 reposts · 36 replies Open on X →

Keone Hon ✓@keoneHD19 Oct 2025

@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 →

Keone Hon ✓@keoneHD19 Oct 2025

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 →

เทียบกับบัญชีขนาดเดียวกัน

16 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 100K–1M ผู้ติดตาม แสดงไปไกลเกินผู้ติดตามของตัวเอง และผู้ชมก็ตอบสนอง.

ยอดดูมัธยฐาน2 922บัญชีนี้5 983ค่ามัธยฐานของ 100K–1M

การเข้าถึง, %2.03%บัญชีนี้1.49%ค่ามัธยฐานของ 100K–1M

การมีส่วนร่วม, %2.37%บัญชีนี้0.93%ค่ามัธยฐานของ 100K–1M

ตัวชี้วัด	บัญชีนี้	ค่ามัธยฐานของ 100K–1M	อัตราส่วน
ยอดดูมัธยฐานต่อโพสต์	2 922	5 983	0.49×
การเข้าถึง (ยอดดู ÷ ผู้ติดตาม)	2.03%	1.49%	1.36×
อัตราการมีส่วนร่วม	2.37%	0.93%	2.55×

บัญชีอื่นในช่วงนี้ → เปรียบเทียบกับบัญชีอื่น → ค่าอ้างอิงเหล่านี้คำนวณอย่างไร →

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

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.

โพสต์ล่าสุด

เทียบกับบัญชีขนาดเดียวกัน

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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