Sergio ‘shadown’ Alvarez Add us as a preferred source on Google
🔄 Data last refreshed 2 months ago
🤝
Make a deal with Sergio ‘shadown’ Alvarez
🔒 Paid proposals held safely in escrow — released only when the work's approved.
Followers
154
Account age
3 yrs
💰 Suggested sponsorship rate
$40 – $65 / sponsored post
Estimated from audience size & typical reach — every deal is negotiable and held in SocialDB escrow.
🎁 Free analysisfor Sergio ‘shadown’ Alvarez
Known for
8 views
Unleashing the power of #mlx even more in #NetGesuchtAI, coming soon API Server compatible with ollama, @radareorg hooked it to #r2ai and has been playing with it. Agents support are coming next… /cc @awnihannun
Btw system prompts, scripts and agents can import and export!
7 views
iPhone 14 Pro (Sep 2022) with #MLX vs Pixel 8 (Oct 2023) with llama.cpp…
6 views
Many asked the same question about #MLX being GPU optimized for Apple in my previous post, so…here you have #MLX (Apple) vs #MLC (Android) which is optimized for Android GPU. Again Comparing the iPhone 14 Pro (Sep 2022) vs Pixel 8 (Oct 2023)
Model Llama 3.2 3B Instruct Q4.
2 views
For completeness how to speed things up on Pixel 8 by running Ollama.app connected to iPhone 14 Pro #MLX via #NetGesuchtAI API Server, Ollama compatible. Model Llama 3.2 3B Instruct q4.
📊 Post engagement
Recent posts · likes + reposts
Apr 13latest
4
Avg engagement / post
2–7
Typical post (engagement)
2.6%
Engagement vs followers
69/100
Consistent reach
Nov 2022
On Mastodon since
Half of recent posts land between 2 and 7 likes + reposts (median 3) — a dependable floor a sponsored post can count on.
🔥 Top post: Unleashing the power of #mlx even more in #NetGesuchtAI, coming · 8 likes + reposts
📊 Activity & format
Posting cadence
0.05 / week
A lower-frequency account — each post lands with more weight.
Content mix
Mostly text
Recent: 6 text · 1 image · 3 video.
Follower / following
1.3×
Follows 116 back. A more reciprocal / networked account.
Recent posts
View on Mastodon ↗
🔥 Top post
Unleashing the power of #mlx even more in #NetGesuchtAI, coming soon API Server compatible with ollama, @radareorg hooked it to #r2ai and has been playing with it. Agents support are coming next… /cc @awnihannun
Btw system prompts, scripts and agents can import and export!
Might be helpful to someone https://shadown.github.io/blog/posts/2026-08-18_genai-security-guide/
My take on LLM has been keeping track on how things are evolving over the time. This is the latest report: The AI Impact - A Comprehensive Analysis Across All Domains of Society
https://shadown.github.io/blog/posts/2026-05-31_ai_impact_acr…
The models I could test (those accessible to me via API, including Groq, Ollama, DeepSeek, and Gemini) can be exploited to target Agentic Workflows or any system making API calls, through Tool Response Injection when the model supports fun…
▶
For completeness how to speed things up on Pixel 8 by running Ollama.app connected to iPhone 14 Pro #MLX via #NetGesuchtAI API Server, Ollama compatible. Model Llama 3.2 3B Instruct q4.
▶
Many asked the same question about #MLX being GPU optimized for Apple in my previous post, so…here you have #MLX (Apple) vs #MLC (Android) which is optimized for Android GPU. Again Comparing the iPhone 14 Pro (Sep 2022) vs Pixel 8 (Oct 202…
▶
iPhone 14 Pro (Sep 2022) with #MLX vs Pixel 8 (Oct 2023) with llama.cpp…
https://docs.google.com/spreadsheets/d/1kT4or6b0Fedd-W_jMwYpb63e1ZR3aePczz3zlbJW-Y4
https://www.databricks.com/blog/2023/04/12/dolly-first-open-commercially-viable-instruction-tuned-llm
@joxean you will like this one https://youtu.be/bgNcvAzWtsQ
▶
For completeness how to speed things up on Pixel 8 by running Ollama.app connected to iPhone 14 Pro #MLX via #NetGesuchtAI API Server, Ollama compatible. Model Llama 3.2 3B Instruct q4.
▶
Many asked the same question about #MLX being GPU optimized for Apple in my previous post, so…here you have #MLX (Apple) vs #MLC (Android) which is optimized for Android GPU. Again Comparing the iPhone 14 Pro (Sep 2022) vs Pixel 8 (Oct 202…
▶
iPhone 14 Pro (Sep 2022) with #MLX vs Pixel 8 (Oct 2023) with llama.cpp…
https://docs.google.com/spreadsheets/d/1kT4or6b0Fedd-W_jMwYpb63e1ZR3aePczz3zlbJW-Y4
https://www.databricks.com/blog/2023/04/12/dolly-first-open-commercially-viable-instruction-tuned-llm
@joxean you will like this one https://youtu.be/bgNcvAzWtsQ
🐘 Community & instance
Home server
infosec.exchange
A cybersecurity & infosec server — its members and audience skew toward that niche, so expect a community-aligned, engaged following.
On Mastodon since
Nov 2022
Joined in the Twitter-exodus wave of late 2022 — part of the migration that made Mastodon a real destination.
💡 Facts
🗓️Joined Mastodon in 2022 — 3 years ago.
👁️Averages 4 views per post.
📤Posts about 0.1× per week.
🕵️ Fake follower check
Estimated66/100
Good
Credibility score
89%
Real
Real audience
Low
Fake-follower risk
High
Data confidence
- Est. 89% real, active audience · Low fake-follower risk.
- Engagement (~2.6% of followers engage each post) is around typical for Mastodon.
- Established account (3+ years old).
Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.
About
Lead Cyber Sec Engineer @ GE Vernova | Berlin. 25+ yrs RE, vuln dev, exploits (embedded/defense). Ex: n.runs AG, Recurity Labs, COSEINC. AI sec researcher since 2017. Inventor (EP3726776A1). Author on AI attacks.
📸 Gallery
🔀 Audience overlap
EstimatedEstimated shared audience with similar creators — useful for avoiding overlap (or doubling down) when planning a campaign.
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Frequently asked questions
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Sergio ‘shadown’ Alvarez has 154 followers on Mastodon.
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