chrisdior ✓

@chrisdior777 · joined 03 Oct 2021

Co-founder @CDSecurity_io Helping protocols avoid multi-million dollar losses

11 453Followers

2 046Following

5 730Posts total

38.2KViews on collected posts

Últimas publicaciones

chrisdior ✓@chrisdior77712 Sep

Women as soon as they find out you’re good at finding Critical bugs 🤪 https://t.co/cjdEfHrkpi

3.2K views · 46 likes · 1 reposts · 2 replies Open on X →

chrisdior ✓@chrisdior77712 Sep

@chrisdior777 Property derivation is usually where these pipelines break. Agents map flows and hunt bugs fine; writing an invariant that captures intent instead of restating the code is the hard part 71 views · 0 likes · 0 reposts · 0 replies Open on X →

chrisdior ✓@chrisdior77711 Sep

@chrisdior777 Useful if it can show the property trail, not just the final report. 210 views · 0 likes · 0 reposts · 0 replies Open on X →

chrisdior ✓@chrisdior77711 Sep

@chrisdior777 This is amazing share!!! 378 views · 1 likes · 0 reposts · 1 replies Open on X →

chrisdior ✓@chrisdior77711 Sep

🚨TO ALL AUDITORS: Monad’s security team just open-sourced an agentic Solidity fuzzing system. Its default campaign uses 43 agentic nodes to map flows, threat-model, derive properties, hunt bugs, triage findings and produce a report. This looks awesome! https://t.co/Ydl7ePRn5A 6.7K views · 142 likes · 17 reposts · 3 replies Open on X →

chrisdior ✓@chrisdior77711 Sep

🚨 ~$38k was drained from https://t.co/XHYGEjWiYp Liquid users through an old @veda_labs contract The bug let attackers trick the contract into pulling funds from wallets that still had old approvals https://t.co/XHYGEjWiYp CEO says it’s resolved and users will be reimbursed. ht

3K views · 51 likes · 1 reposts · 3 replies Open on X →

chrisdior ✓@chrisdior77710 Sep

5 years ago, I knew almost nothing about crypto and only had a bit of JavaScript experience. I went all-in on Web3 security, starting with Mastering Ethereum and learning Solidity from scratch. Since then, we’ve secured $10B+ on-chain, completed 200+ audits, worked with ~100 2.6K views · 80 likes · 3 reposts · 8 replies Open on X →

chrisdior ✓@chrisdior77726 Mar

@chrisdior777 Does it requires prerequisite before stateting with this resources? . 10 views · 1 likes · 0 reposts · 0 replies Open on X →

chrisdior ✓@chrisdior7777 Jan

@chrisdior777 Sure enough, this is a gold roadmap thank you @chrisdior777 70 views · 2 likes · 0 reposts · 0 replies Open on X →

chrisdior ✓@chrisdior7775 Jan

@chrisdior777 Amazing resources, thanks 396 views · 2 likes · 0 reposts · 1 replies Open on X →

chrisdior ✓@chrisdior7775 Jan

Become an absolute Web3 Security beast in 2026!! Resources: 1. Owen Thurm - Web3 Security 101 playlist (Youtube) 2. Past audit reports - https://t.co/zICiqIDvki 3. DeFi bible - https://t.co/v1tIwvc1yQ 4. Books & Blog - https://t.co/ms43aQU3sv 5. Use AI to your advantage

21.5K views · 486 likes · 68 reposts · 32 replies Open on X →

Frente a cuentas del mismo tamaño

7 publicaciones de los últimos 90 días, junto al rango de 10K–100K seguidores. llega a más gente que cuentas de su tamaño.

Visualizaciones medianas2 629esta cuenta1 018mediana de 10K–100K

Alcance, %22.95%esta cuenta3.77%mediana de 10K–100K

Interacción, %1.54%esta cuenta1.66%mediana de 10K–100K

Métrica	Esta cuenta	Mediana de 10K–100K	Proporción
Visualizaciones medianas por publicación	2 629	1 018	2.58×
Alcance (visualizaciones ÷ seguidores)	22.95%	3.77%	6.09×
Tasa de interacción	1.54%	1.66%	0.93×

Otras cuentas de este rango → Comparar con otra cuenta → Cómo se construyen estas referencias →

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

21.5K5 Jan

396

707 Jan

1026 Mar

2.6K10 Sep

3K11 Sep

6.7K

378

210

7112 Sep

3.2K

Last 11 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

2.73%5 Jan

0.76%

2.86%7 Jan

10.00%26 Mar

3.46%10 Sep

1.82%11 Sep

2.41%

0.53%

0.00%

0.00%12 Sep

1.54%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.66%.

What the audience does

Likes44.6%811 in total

Reposts4.9%90 in total

Replies2.7%50 in total

Bookmarks47.7%868 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.

Últimas publicaciones

Frente a cuentas del mismo tamaño

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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