👑 Alyssa Miller 🦄🛩️

👑 Alyssa Miller 🦄🛩️

@AlyssaM_InfoSec

Hacker, CISO, int'l speaker, and author. Same handle on https://infosec.exchange/. Proudly refusing to be extorted by Elon to keep my verified status.

Wisconsin, USA https://alyssa.link/book Joined 2017-10-24 Date of Analysis: Dec 16, 2025

81,654

Followers

5,142

Following

57,709

Tweets

105.2

Avg Engagement

978

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @AlyssaM_InfoSec's Twitter/X presence across multiple dimensions. We analyze tweet content, engagement patterns, audience demographics, posting habits, and network connections to provide actionable insights about this account's social media strategy and influence.

Account Classification

  • Account Size: Mid-Tier (10K+)
  • Account Age:2017-10-24
  • Verification:No
  • Location:Wisconsin, USA

Data Summary

  • Tweets Analyzed:3,238
  • Avg Likes per Tweet:27.5
  • Avg Retweets per Tweet:77.7
  • Followers Analyzed:9,998

Engagement Analysis

Based on 3,238 tweets

Her tweets typically receive high engagement, with an average of 962 likes and 135 retweets, indicating a strong and active community around her content.

27.5

Avg Likes/Tweet

77.7

Avg Retweets/Tweet

89,005

Total Likes

251,727

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

3

Median Likes

0

Median Retweets

25

75th Percentile

58,975

Top Tweet

1.29

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Conversationalist

Highly engaged in discussions

13.3%

Original

64.0%

Replies

16.6%

Retweets

6.1%

Quotes

0.0%

Threads

0.6%

With Media

32.8%

With Links

16.8%

With #Tags

83.4%

With @Mentions

8.5%

With Emojis

152

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

4.8

Reply/Original Ratio

0.36

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

79.7%

Weekday Posts

20.3%

Weekend Posts

Top Hashtags

#pride (197) #pridemonth (101) #infosec (59) #cybersecurity (36) #hackerflightschool (36) #gethiredchallenge (30) #pridemonth2023 (28) #gethired (27) #pride2023 (26) #securingbridges (24)

Most Mentioned

@alyssam_infosec (145) @wicysorg (97) @d0rkph0enix (67) @hacks4pancakes (61) @itspmagazine (60) @rayredacted (58) @pilnok (54) @jaysonstreet (36) @delta (33) @lilmzmuffincup (27)

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Content Strategy Analysis

Based on 3,238 tweets

Content Type Distribution

Content Breakdown

Original Tweets 432 (13%)
Replies 2,072 (64%)
Retweets 538 (17%)
Quote Tweets 196 (6%)

What This Reveals About Their Strategy

This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.

The 538 retweets (17% of activity) show they also amplify content from others, which helps build relationships with other accounts and provides value to followers by surfacing relevant content.

Posting Patterns & Optimal Timing

Based on 3,238 tweets

Engagement by Hour (UTC)

Posting Frequency Over Time

Timing Insights

Understanding when an account posts and when their audience is most responsive provides valuable competitive intelligence. The charts above show when this account's content receives the most engagement, which often correlates with when their specific audience is most active on the platform.

Peak posting times vary significantly based on an account's audience demographics, timezone distribution, and content type. Accounts with global audiences often see engagement spread across multiple time windows, while those with regional focus may have more concentrated peaks.

Audience Demographics

Based on 9,998 followers

Her audience includes professionals in cybersecurity, tech leaders, and individuals interested in digital security and personal privacy. She also appeals to those who enjoy a mix of humor and insight.

Average

Audience Quality

26.0%

Suspicion Index

27.5%

Low-Quality %

41

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

36.7%

Empty Bio

27.6%

<10 Tweets

17.0%

Mass Following (>2K)

0.0%

New (<90 days)

54.9%

Low Ratio (<0.1)

0.0%

New (<180 days)

80.6%

No URL

18.3%

<3 Tweets

Free Mode Analysis: These quality metrics use heuristic signals (empty bios, low tweets, suspicious ratios). For ML-powered bot detection with 95%+ accuracy, use our dedicated tool.

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Follower Reach & Influence

This account's followers have their own audiences, creating potential for secondary amplification.

22,544,572

Total Potential Reach

41

Median Follower Reach

198

75th Percentile Reach

7.0%

>1K followers

1.2%

>10K followers

0.4%

>50K followers

0.2%

>100K followers

Creator vs Consumer Split

Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).

48.8%

Creators

4,883 accounts

23.5%

Consumers

2,354 accounts

27.6%

Dormant

2,761 accounts

161

Verified Followers

1.61% of total

13.1%

Professional Bios

founder, dev, analyst, etc.

0.09

Median Follow Ratio

follower/following

Follower Influence Distribution

How many followers do their followers have?

Follower Account Age

How long have followers been on Twitter?

Geographic Distribution

Top locations where followers are based (from those who share location data):

United States (89) India (59) Pakistan (41) USA (38) Lagos, Nigeria (38) London, England (37) Chicago, IL (36) Los Angeles, CA (31) Nigeria (31) New York, USA (31)

161

Verified Followers

1.61% of total

1,013

Protected Accounts

10.13% of total

5 years

Avg Account Age

of their followers

Notable Followers (By Influence)

Top accounts following this user, sorted by their follower count:

Username Followers Profession Interests
@JohnCena 14,098,103 Wrestler Wrestling, Motivation, Self-promotion
@BJMendelson 447,695 - -
@AWeissmann_ 262,065 Lawyer Law, Investigation, New York
@jorcervan 237,205 Writer Mythology, Self-discovery, Openness
@OmarRiverosays 209,099 Meme Maker Memes, Politics, Dogs
@Ryanintheus 197,904 Consultant Business Leadership, Climate Crisis, Global Citizenship
@NahamSec 167,577 Hacker Hacking, Content Creation, Education
@msftsecresponse 147,934 Security Microsoft, Security, Response
@BriannaWu 144,868 Software Engineer politics, activism, technology
@dinisguarda 112,181 Entrepreneur Blockchain, Fintech, AI

Top Keywords in Follower Bios

security (665) cybersecurity (428) cyber (355) engineer (278) tech (244) infosec (218) enthusiast (217) love (200) software (186) life (167)

Top Hashtags in Follower Bios

#cybersecurity (89) #infosec (51) #ai (19) #iot (16) #tech (16) #bitcoin (15) #osint (15) #linux (11) #python (11) #cloud (11)

6,329

Followers With Bio

3,671

Followers Without Bio

63.29%

% With Bio

36.71%

% Without Bio

Why Audience Demographics Matter

Understanding who follows an account reveals the type of influence they hold. Accounts followed primarily by users with few followers indicate broad, mainstream appeal. Those with many high-follower followers have greater potential for content amplification through secondary sharing.

Account age distribution also tells a story: a follower base with many new accounts might indicate recent viral growth, while established followers suggest long-term, stable influence. Geographic data helps understand the cultural context and timezone spread of the audience.

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Viral Tweets

Top 5 by likes+RTs from 3,238 analyzed

143,187

Combined Engagement

0

Total Likes

143,187

Total Retweets

28,637

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

20%

With Hashtags

100%

With @Mentions

80%

With Links

Topical Analysis:

Cybersecurity Leadership Humor Personal Experience Tech Ethics Digital Privacy

Key Insights & Takeaways

She uses humor to highlight serious issues in cybersecurity and leadership. Her personal anecdotes provide relatable context to technical topics. She actively engages with her audience, fostering a sense of community and shared interest in tech and security.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 81,654
  • + High community engagement through conversations
  • + Active presence with consistent posting

Opportunities

  • ~ Optimize posting times for peak engagement windows
  • ~ Analyze top-performing content for replicable patterns
  • ~ Leverage geographic concentration for targeted content
  • ~ Explore collaboration potential with followed accounts

Summary

This analysis of @AlyssaM_InfoSec reveals an well-established Twitter presence with 81,654 followers. The account demonstrates a conversation-first approach, averaging 105.2 engagements per tweet. Key strengths include consistent posting and an engaged audience, with opportunities to further optimize timing and content strategy based on the patterns identified in this report.

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About This Analysis: This analysis is based on a snapshot of followers, following, and recent tweets. It evaluates structure, quality, and behavior, not historical growth. Metrics like growth rate, momentum, churn, or spike analysis require time-series data which is not available from a single snapshot.

Data collected and analyzed by twtData | Analysis date: Dec 16, 2025