Lauren Goode

Lauren Goode

@LaurenGoode

Senior Writer at @WIRED, not tweeting much these days. Writing a book. DM for Signal info. Sharing news (still @laurengoode) on IG, Threads, BlueSky, Mastodon.

San Francisco https://www.wired.com/ Joined 2009-03-04 Date of Analysis: Dec 16, 2025

94,418

Followers

2,251

Following

12,176

Tweets

389.4

Avg Engagement

3,032

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @LaurenGoode'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:2009-03-04
  • Verification:No
  • Location:San Francisco

Data Summary

  • Tweets Analyzed:3,229
  • Avg Likes per Tweet:16.6
  • Avg Retweets per Tweet:372.8
  • Followers Analyzed:9,994

Engagement Analysis

Based on 3,229 tweets

Her tweets typically receive around 788 likes and 116 retweets on average. The engagement is steady but not exceptionally high compared to other accounts.

16.6

Avg Likes/Tweet

372.8

Avg Retweets/Tweet

53,666

Total Likes

1,203,835

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

3

Median Likes

1

Median Retweets

26

75th Percentile

159,128

Top Tweet

4.12

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Mixed

Balanced content approach

22.5%

Original

46.8%

Replies

24.8%

Retweets

5.8%

Quotes

0.0%

Threads

1.6%

With Media

49.7%

With Links

4.2%

With #Tags

68.8%

With @Mentions

9.0%

With Emojis

148

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

2.08

Reply/Original Ratio

0.23

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

93.0%

Weekday Posts

7.0%

Weekend Posts

Top Hashtags

#podcast (19) #codecon (10) #rewiredgreen (6) #ces (6) #googleio (5) #appleevent (5) #ces2022 (4) #istandwithevan (3) #ces2023 (3) #wwdc (3)

Most Mentioned

@wired (258) @laurengoode (160) @snackfight (112) @gadgetlab (92) @caseynewton (73) @karaswisher (70) @julianchokkattu (44) @glichfield (41) @shiraovide (40) @stevenlevy (40)

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Content Strategy Analysis

Based on 3,229 tweets

Content Type Distribution

Content Breakdown

Original Tweets 727 (23%)
Replies 1,512 (47%)
Retweets 802 (25%)
Quote Tweets 188 (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 802 retweets (25% 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 3,229 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 9,994 followers

Her audience includes tech enthusiasts, social media users, and followers of WIRED. She also engages with users on other platforms like Instagram, Threads, and Mastodon.

Average

Audience Quality

24.2%

Suspicion Index

22.6%

Low-Quality %

100

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

28.9%

Empty Bio

22.7%

<10 Tweets

25.1%

Mass Following (>2K)

0.0%

New (<90 days)

45.9%

Low Ratio (<0.1)

0.0%

New (<180 days)

69.1%

No URL

16.3%

<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.

47,523,115

Total Potential Reach

100

Median Follower Reach

458

75th Percentile Reach

16.2%

>1K followers

4.0%

>10K followers

1.1%

>50K followers

0.6%

>100K followers

Creator vs Consumer Split

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

60.8%

Creators

6,074 accounts

16.5%

Consumers

1,653 accounts

22.7%

Dormant

2,267 accounts

342

Verified Followers

3.42% of total

20.8%

Professional Bios

founder, dev, analyst, etc.

0.12

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):

New York, NY (132) San Francisco, CA (126) London, England (116) Los Angeles, CA (101) Washington, DC (92) London (81) United States (81) Brooklyn, NY (62) New York (61) New York, USA (61)

342

Verified Followers

3.42% of total

1,087

Protected Accounts

10.87% of total

8 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 14,093,343 Wrestler Wrestling, Motivation, Self-promotion
@SinghLions 1,330,594 Restaurateur Food, Travel, Influencer
@androidcentral 1,246,083 Tech Blogger Tech, Android, Tips
@JDaIey 1,244,352 Owner Esports, Gaming, Sponsorship
@andrewrsorkin 934,800 Journalist Finance, Journalism, Television
@Haqeeqat_TV 915,680 Media Personality Pakistan, YouTube, News
@depthsofwiki 784,084 Wikipedia Enthusiast Wikipedia, favorite things, fluffybabycow
@nlyonne 608,243 Actress Russian Doll, BLM, Stacy Keach
@anildash 568,395 Tech influencer technology, advocacy, community
@OccupyDemocrats 553,034 Political Activist Progressive, Grassroots, Politics

Top Keywords in Follower Bios

tech (504) pr (273) digital (229) founder (224) views (212) love (210) marketing (196) writer (193) technology (176) media (176)

Top Hashtags in Follower Bios

#ai (29) #tech (24) #1 (20) #bitcoin (16) #pr (15) #marketing (14) #nft (14) #startups (13) #crypto (13) #web3 (12)

7,110

Followers With Bio

2,890

Followers Without Bio

71.1%

% With Bio

28.9%

% 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 3,229 analyzed

418,443

Combined Engagement

0

Total Likes

418,443

Total Retweets

83,689

Avg per Tweet

Key Metrics for Viral Tweets

20%

With Media

0%

With Hashtags

100%

With @Mentions

20%

With Links

Topical Analysis:

Technology Social Media Writing Book Platform Changes Engagement

Key Insights & Takeaways

She is actively involved in discussions about social media trends and platform changes. She is open to connecting with followers through DMs for Signal information. She is working on a book and shares news across multiple platforms.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 94,418
  • + 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 @LaurenGoode reveals an well-established Twitter presence with 94,418 followers. The account demonstrates a conversation-first approach, averaging 389.4 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