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Stephen Sims

@Steph3nSims · Berkeley, CA · joined 07 Feb 2014

Perpetual Student | SANS Fellow | Musician | Braggart Hater | Gray Hat Hacking | VR | 🏂 | deadcode | https://t.co/4neOSsnCQ8

26 109Followers
875Following
4 410Posts total
91.3KViews on collected posts

Latest posts

A researcher submits a CVSS 9.8 multi-part exploit chain that leads to Remote Code Execution. It's 4+ issues required to achieve the RCE. It's submitted & the affected party says, "Sorry, duplicate, the 1st part of your chain was already reported and a patch in the works." 4.1K views · 17 likes · 3 reposts · 6 replies Open on X →
I had a great chat with @PhillipWylie and got to talk about the challenges with skill deterioration as well as coming into the field in the AI era. 3.2K views · 25 likes · 4 reposts · 0 replies Open on X →
Vulnerability Research, AI Slop, and Why Fundamentals Still Win with Stephen Sims https://t.co/zlHjilOeyn 4.1K views · 19 likes · 2 reposts · 1 replies Open on X →
@Steph3nSims Cool stuff! 🥳 146 views · 2 likes · 0 reposts · 0 replies Open on X →
Learning macOS Internals Through Reverse Engineering https://t.co/rPThmIwDbp 5.3K views · 135 likes · 22 reposts · 1 replies Open on X →
@Steph3nSims Agreed this reminds me of webapp bug bounty when everyone sends low effort reports based on burp active scanner findings, where those that take their time and explore, putting real effort into the exercise, simply do better and they become sought after operators. 279 views · 3 likes · 0 reposts · 1 replies Open on X →
@Steph3nSims You worked for breaking security? 254 views · 1 likes · 0 reposts · 0 replies Open on X →
I'm about to go live to talk about course updates to SEC660. There will be some slides and a demo. https://t.co/TMTLDFzqrF 2.5K views · 30 likes · 5 reposts · 0 replies Open on X →
@Steph3nSims I agree 100%. Good stuff, my friend. It’s amazing times with huge opportunities to improve the foundations of the software the world runs on. Thank you for your efforts on it. Our team is likewise finding tons of real vulns in OSS and sharing high-quality, valida 2.1K views · 7 likes · 0 reposts · 0 replies Open on X →
I’ve hit an interesting point. 10 years ago I was ethically selling browser exploits monthly. Profit was the goal. Now, I find myself working with OSS developers, many of which tired of awful AI disclosures, to help get them quality reports. Hearing, “Thank you for actually 69.2K views · 188 likes · 7 reposts · 12 replies Open on X →

Against accounts of the same size

10 posts from the last 90 days, next to the 10K–100K follower range. shown widely, but few of those viewers react.

Median views2 884this account961median for 10K–100K
Reach, %11.04%this account3.53%median for 10K–100K
Engagement, %0.78%this account1.59%median for 10K–100K
MetricThis accountMedian for 10K–100KRatio
Median views per post2 8849613.00×
Reach (views ÷ followers)11.04%3.53%3.13×
Engagement rate0.78%1.59%0.49×

Others in this range →   Compare with another account →   How these benchmarks are built →

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

69.2K24 Aug
2.1K
2.5K
254
27925 Aug
5.3K28 Aug
146
4.1K3 Sep
3.2K
4.1K5 Sep

Last 10 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.30%24 Aug
0.33%
1.37%
0.39%
1.43%25 Aug
2.96%28 Aug
1.37%
0.56%3 Sep
0.93%
0.63%5 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.59%.

What the audience does

Likes66.2%427 in total
Reposts6.7%43 in total
Replies3.3%21 in total
Quotes0.9%6 in total
Bookmarks22.9%148 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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