Felix Krause

Felix Krause

@KrauseFx

Currently building https://contextsdk.com/ - Security Researcher - Creator of https://fastlane.tools/ (previously @google @twitter) @[email protected]

Vienna, Austria https://krausefx.com/about Joined 2009-06-23 Date of Analysis: Dec 16, 2025

33,891

Followers

907

Following

27,503

Tweets

148.3

Avg Engagement

815

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @KrauseFx'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:2009-06-23
  • Verification:No
  • Location:Vienna, Austria

Data Summary

  • Tweets Analyzed:3,244
  • Avg Likes per Tweet:39.2
  • Avg Retweets per Tweet:109.1
  • Followers Analyzed:32,760

Engagement Analysis

Based on 3,244 tweets

KrauseFx's tweets receive a high average number of likes and retweets, indicating strong audience interaction. His content is both informative and thought-provoking, encouraging discussion and analysis.

39.2

Avg Likes/Tweet

109.1

Avg Retweets/Tweet

127,321

Total Likes

353,769

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

2

Median Likes

0

Median Retweets

9

75th Percentile

68,292

Top Tweet

4.38

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

9.4%

Original

80.4%

Replies

5.8%

Retweets

4.4%

Quotes

0.0%

Threads

1.0%

With Media

26.7%

With Links

0.8%

With #Tags

89.5%

With @Mentions

21.5%

With Emojis

105

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

8.55

Reply/Original Ratio

0.76

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

82.4%

Weekday Posts

17.6%

Weekend Posts

Top Hashtags

#1 (8) #goals (2) #gotounscripted (1) #iosreviewtime (1) #ads (1) #yatusabes (1) #teamneverdeletestuff (1) #nocalendar (1) #makava (1) #helloworld (1)

Most Mentioned

@steipete (227) @neonacho (116) @levelsio (93) @javi (74) @andreasklinger (72) @helge (50) @mitsuhiko (47) @fastlanetools (45) @joshdholtz (37) @hemal (35)

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Content Strategy Analysis

Based on 3,244 tweets

Content Type Distribution

Content Breakdown

Original Tweets 305 (9%)
Replies 2,609 (80%)
Retweets 187 (6%)
Quote Tweets 143 (4%)

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 187 retweets (6% 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 3,244 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 32,760 followers

His audience primarily consists of security professionals, developers, and tech enthusiasts interested in mobile and web security. They engage with his content due to its technical depth and relevance to real-world issues.

Good

Audience Quality

16.1%

Suspicion Index

16.7%

Low-Quality %

130

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

25.4%

Empty Bio

13.2%

<10 Tweets

15.9%

Mass Following (>2K)

0.0%

New (<90 days)

30.1%

Low Ratio (<0.1)

0.0%

New (<180 days)

60.6%

No URL

8.0%

<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.

67,811,188

Total Potential Reach

130

Median Follower Reach

429

75th Percentile Reach

12.7%

>1K followers

1.7%

>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).

69.2%

Creators

22,675 accounts

17.6%

Consumers

5,759 accounts

13.2%

Dormant

4,326 accounts

323

Verified Followers

0.99% of total

32.8%

Professional Bios

founder, dev, analyst, etc.

0.21

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):

San Francisco, CA (457) London, England (335) Berlin, Germany (280) Vienna, Austria (230) London (212) New York, NY (190) Bengaluru, India (166) Paris, France (154) India (151) Berlin (150)

323

Verified Followers

0.99% of total

3,259

Protected Accounts

9.95% of total

10 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 14,106,609 Wrestler Wrestling, Motivation, Self-promotion
@verified 4,201,290 - -
@github 2,482,815 Tech Company software development, coding, support
@6BillionPeople 2,038,879 - -
@arstechnica 1,163,609 Tech journalism Tech, News, Reviews
@DanielNewman 814,319 Actor WALKINGDEAD, MARVEL, LGBTQ*
@yashar 706,424 Journalist Politics, News, Culture
@Jason 702,524 Investor startups, investing, podcasting
@TayeDiggs 648,957 Actor acting, chocolate, hosting
@sebastiankurz 471,217 Politician Politics, Leadership, Parliament

Top Keywords in Follower Bios

ios (4,392) developer (4,166) engineer (2,982) software (2,730) mobile (1,092) tech (1,082) dev (875) web (853) building (818) enthusiast (767)

Top Hashtags in Follower Bios

#ios (218) #swift (147) #bitcoin (98) #android (91) #iosdev (78) #ai (53) #tech (53) #swiftlang (52) #developer (46) #mobile (44)

24,446

Followers With Bio

8,314

Followers Without Bio

74.62%

% With Bio

25.38%

% 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 3,244 analyzed

218,024

Combined Engagement

31,156

Total Likes

186,868

Total Retweets

43,605

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

80%

With @Mentions

60%

With Links

Topical Analysis:

Security Research Mobile Security Web Security Tech Analysis Vulnerability Disclosure Industry Trends

Key Insights & Takeaways

KrauseFx often highlights security vulnerabilities in popular apps and platforms, raising awareness about potential risks. He provides in-depth technical analysis, making complex security concepts accessible to a broader audience. His tweets frequently blend research with industry commentary, offering unique perspectives on tech trends and company practices.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 33,891
  • + 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 @KrauseFx reveals an well-established Twitter presence with 33,891 followers. The account demonstrates a conversation-first approach, averaging 148.3 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