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SHERLOCK ✓

@sherlockdefi · joined 24 Feb 2021

Complete Lifecycle Security For Onchain Systems. Leading teams choose Sherlock for private audits, AI-native review, open audit contests, & live bug bounties.

28 777Followers
1 846Following
7 065Posts total
90.8KViews on collected posts

Neueste Beiträge

The @Tare_io Audit Contest is complete! No valid Medium or High severity issues were identified. With no valid findings to reward, the fixed $27,000 USDC prize pool was distributed based on SR leaderboard points. Top 3: 🥇 @iam0x52 — $4,670 🥈 bicktivism — $2,535 🥉 3.6K views · 39 likes · 2 reposts · 7 replies Open on X →
Here are the results of the @metricxyz Audit Contest! 1. @kvarxyz - $11,936 🥇 2. Invalidatoors - $1,613 🥈 3. ShadowSec - $1,611 🥉 $150,000 in rewards, bringing Sherlock's total researcher payouts to $21.2M+. Link below for the full results 👇 7.4K views · 103 likes · 1 reposts · 14 replies Open on X →
@sherlockdefi @MichaelHirsch @MancerXYZ Fuck yeah sherlock! 395 views · 7 likes · 1 reposts · 0 replies Open on X →
Scope covered swap routing, the smart-order engine, and the isolated token approval architecture. Full report below. https://t.co/qSIIs2UKjz 1.2K views · 17 likes · 3 reposts · 0 replies Open on X →
Sherlock has completed a collaborative audit for @mancerxyz - building the trading and execution layer for Robinhood Chain. CEX-grade order types - limit, stop, recurring, OCO - fully onchain, fully non-custodial. Tokens don't move until the trade fully executes. https://t.co/4X 24.8K views · 173 likes · 34 reposts · 26 replies Open on X →
@sherlockdefi 🔥🔥 1.2K views · 19 likes · 0 reposts · 0 replies Open on X →
No single model, AI auditor, or security researcher sees everything. We built Audit Engine around that reality. After months of private engagements against high-stakes code, we’re opening the system we believe represents the future of security review. See what we built ↓ 2.2K views · 22 likes · 1 reposts · 1 replies Open on X →
Today, we are proud to introduce Sherlock Audit Engine. Audit Engine brings the strongest available AI security approaches into one coordinated review. We’ve spent months building it in private and testing it against high-stakes code. A new era of AI-native security review htt 50K views · 308 likes · 46 reposts · 70 replies Open on X →

Im Vergleich zu Konten gleicher Größe

8 Beiträge aus den letzten 90 Tagen, verglichen mit der Größenklasse 10K–100K Follower. wird mehr Menschen gezeigt als Konten gleicher Größe.

Medianaufrufe2 915dieses Konto924Median für 10K–100K
Reichweite, %10.13%dieses Konto3.62%Median für 10K–100K
Interaktion, %1.53%dieses Konto1.52%Median für 10K–100K
KennzahlDieses KontoMedian für 10K–100KVerhältnis
Medianaufrufe pro Beitrag2 9159243.15×
Reichweite (Aufrufe ÷ Follower)10.13%3.62%2.80×
Interaktionsrate1.53%1.52%1.00×

Weitere Konten dieser Größe →   Mit einem anderen Konto vergleichen →   Wie diese Vergleichswerte entstehen →

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

50K18 Aug
2.2K
1.2K
24.8K1 Sep
1.2K
395
7.4K2 Sep
3.6K3 Sep

Last 8 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.89%18 Aug
1.08%
1.61%
0.99%1 Sep
1.62%
2.03%
1.61%2 Sep
1.44%3 Sep

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

What the audience does

Likes69.1%688 in total
Reposts8.8%88 in total
Replies11.9%118 in total
Quotes4.1%41 in total
Bookmarks6.0%60 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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