Leilani Münter

Leilani Münter

@LeilaniMunter

Environmentalist. Biology grad. Vegan. EVs. Solar. Biodiversity. Existential risk. I used to drive race cars. Documentary film with @OP_Society @racingxtinction

Blue dot in a red state https://carbonfreegirl.com/ Joined 2008-07-29 Date of Analysis: Dec 16, 2025

52,227

Followers

861

Following

39,632

Tweets

3,184.3

Avg Engagement

956

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @LeilaniMunter'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:2008-07-29
  • Verification:No
  • Location:Blue dot in a red state

Data Summary

  • Tweets Analyzed:3,141
  • Avg Likes per Tweet:19.3
  • Avg Retweets per Tweet:3,165.0
  • Followers Analyzed:9,994

Engagement Analysis

Based on 3,141 tweets

Leilani's tweets receive a high number of likes and retweets, indicating strong audience interaction. Her content often sparks discussions around veganism, technology, and environmental ethics.

19.3

Avg Likes/Tweet

3,165.0

Avg Retweets/Tweet

60,570

Total Likes

9,941,342

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

1

Median Likes

3

Median Retweets

335

75th Percentile

403,640

Top Tweet

60.97

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

11.5%

Original

41.6%

Replies

37.9%

Retweets

9.0%

Quotes

0.0%

Threads

1.8%

With Media

56.4%

With Links

7.9%

With #Tags

84.9%

With @Mentions

18.0%

With Emojis

144

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

3.63

Reply/Original Ratio

0.24

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

70.1%

Weekday Posts

29.9%

Weekend Posts

Top Hashtags

#caturday (14) #birdtwitter (14) #nature (13) #actonclimate (12) #climate (10) #sunlightrevolution (7) #racingextinction (7) #longcovid (7) #energy (7) #rewilding (6)

Most Mentioned

@rexchapman (81) @uskiwi13 (77) @leilanimunter (62) @popnmatters (59) @bonnienorman (55) @racingxtinction (45) @ziyatong (36) @thechrisbarron (33) @bader_diedrich (25) @joncoopertweets (23)

Want This Report as PDF?

We're building PDF export for these analytics reports. Register your interest to get early access.

Register Interest

Content Strategy Analysis

Based on 3,141 tweets

Content Type Distribution

Content Breakdown

Original Tweets 360 (11%)
Replies 1,307 (42%)
Retweets 1,191 (38%)
Quote Tweets 283 (9%)

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 1,191 retweets (38% 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 3,141 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 is primarily interested in environmental issues, veganism, and technology's role in sustainability. They are likely to be socially conscious individuals seeking information on ethical living and climate action.

Below Average

Audience Quality

37.5%

Suspicion Index

100.0%

Low-Quality %

160

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

100.0%

Empty Bio

100.0%

<10 Tweets

0.0%

Mass Following (>2K)

0.0%

New (<90 days)

0.0%

Low Ratio (<0.1)

0.0%

New (<180 days)

76.5%

No URL

100.0%

<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.

Try Bot Detector

Follower Reach & Influence

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

56,923,382

Total Potential Reach

160

Median Follower Reach

629

75th Percentile Reach

18.3%

>1K followers

3.8%

>10K followers

1.3%

>50K followers

0.8%

>100K followers

Creator vs Consumer Split

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

0.0%

Creators

0 accounts

0.0%

Consumers

0 accounts

100.0%

Dormant

9,994 accounts

0

Verified Followers

0.0% of total

0.0%

Professional Bios

founder, dev, analyst, etc.

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 (123) Los Angeles, CA (93) California, USA (66) London, England (49) New York, NY (45) San Francisco, CA (44) USA (42) Chicago, IL (41) Canada (40) Earth (39)

0

Verified Followers

0.0% of total

926

Protected Accounts

9.26% 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 14,097,564 Wrestler Wrestling, Motivation, Self-promotion
@ChrisSmalling 1,791,424 Footballer Football, AS Roma, Charity
@SinghLions 1,325,875 Restaurateur Food, Travel, Influencer
@mmpadellan 1,238,239 Political Commentator #BlueWave2022, #Feminist, #TheResistance
@UlrichJvV 1,161,885 Activist Digital media, Global development, Gardening and sustainability
@adventuregirl 1,102,830 Influencer Adventure, Content Creation, TV
@Benioff 1,084,462 Entrepreneur technology, philanthropy, leadership
@NOH8Campaign 799,384 Activism equality, bullying, discrimination
@IAMANITABAKER 754,679 Singer Music, Concerts, Retirement
@AdamParkhomenko 739,449 Strategist Politics, Fatherhood, Consulting

Top Keywords in Follower Bios

vegan (412) love (344) life (266) lover (239) tesla (223) climate (220) world (207) animal (192) music (190) animals (175)

Top Hashtags in Follower Bios

#vegan (71) #blm (66) #resist (56) #blacklivesmatter (27) #bitcoin (24) #voteblue (20) #tesla (19) #climatechange (16) #sustainability (14) #resistance (13)

7,414

Followers With Bio

2,586

Followers Without Bio

74.14%

% With Bio

25.86%

% 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.

Buy Follower Data

Export full follower list with profile details, bios, locations, and follower counts as CSV.

Buy Followers - from $15

Buy Tweet Data

Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.

Buy Tweets - from $15

Viral Tweets

Top 5 by likes+RTs from 3,141 analyzed

1,079,585

Combined Engagement

0

Total Likes

1,079,585

Total Retweets

215,917

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

100%

With @Mentions

60%

With Links

Topical Analysis:

Environmentalism Veganism Technology Biodiversity Ethics Animal Rights

Key Insights & Takeaways

She leverages her personal journey as a former race car driver to add a unique perspective to her environmental advocacy. Her use of hashtags and links to external content suggests a strategy to drive traffic and encourage further engagement. She frequently highlights the ethical implications of consumer choices, particularly regarding animal products and technology.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 52,227
  • + 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 @LeilaniMunter reveals an exceptionally influential Twitter presence with 52,227 followers. The account demonstrates a conversation-first approach, averaging 3,184.3 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.

Need Programmatic Access?

We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.

Register Interest for API Access

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