Mathieu Bolard
iOS samurai, reverse engineering ninja. Cybersecurity expert.
74,083
Followers
123
Following
2,440
Tweets
214.5
Avg Engagement
88
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @mattlawer'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:2008-05-23
- Verification:No
- Location:France
Data Summary
- Tweets Analyzed:2,414
- Avg Likes per Tweet:0.8
- Avg Retweets per Tweet:213.6
- Followers Analyzed:50,000
- Following Analyzed:123
Engagement Analysis
Based on 2,414 tweetsHis tweets receive moderate engagement with an average of 38 likes and 61 retweets, indicating a reasonably active and interested audience. The engagement is likely driven by his app updates and tech-related content.
0.8
Avg Likes/Tweet
213.6
Avg Retweets/Tweet
1,959
Total Likes
515,735
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
2
75th Percentile
98,387
Top Tweet
2.89
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
66.1%
Original
18.4%
Replies
15.5%
Retweets
0.0%
Quotes
0.0%
Threads
1.2%
With Media
77.8%
With Links
12.9%
With #Tags
41.5%
With @Mentions
4.3%
With Emojis
93
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.28
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
76.7%
Weekday Posts
23.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,414 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.
The 373 retweets (15% 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 2,414 tweetsEngagement 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 50,000 followersHis audience includes mobile technology enthusiasts, cybersecurity professionals, and Apple users interested in app updates and product reviews. They are likely looking for insights into iOS development and security tools.
Good
Audience Quality
16.8%
Suspicion Index
28.2%
Low-Quality %
40
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38.3%
Empty Bio
33.8%
<10 Tweets
3.4%
Mass Following (>2K)
0.0%
New (<90 days)
14.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
84.0%
No URL
18.1%
<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 DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
22,504,840
Total Potential Reach
40
Median Follower Reach
122
75th Percentile Reach
3.2%
>1K followers
0.4%
>10K followers
0.1%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
33.3%
Creators
16,662 accounts
32.9%
Consumers
16,441 accounts
33.8%
Dormant
16,897 accounts
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):
27
Verified Followers
0.27% of total
996
Protected Accounts
9.96% 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 |
|---|---|---|---|
| @6BillionPeople | 2,019,194 | - | - |
| @MikeyWax | 857,771 | Musician | music, singer-songwriter, new single |
| @ericschiffer | 698,244 | CEO | business, media, author |
| @DennisKoutoudis | 532,704 | - | - |
| @FredCuellar | 491,563 | Entrepreneur | Diamonds, Author, Motivational Speaker |
| @djkingassassin | 465,618 | DJ | Music, Club, Producer |
| @Hacker0x01 | 263,971 | Bug Bounty Platform | Bug bounty, Pentest, Hackers |
| @HugoDelire36 | 220,848 | Streamer | Streamer, YouTuber, Caster |
| @RauliMrd | 165,888 | Artist | Arts, Gizmos, Aviation |
| @OfficialKimlee | 117,707 | DJ | DJ, Pianist, Networking |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,463
Followers With Bio
3,537
Followers Without Bio
64.63%
% With Bio
35.37%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 2,414 analyzed286,595
Combined Engagement
0
Total Likes
286,595
Total Retweets
57,319
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @raybelline: i have been laughing at this since yesterday. please turn your volume up 😂 https://t.co/SlTduFF2ff
RT @elonmusk: Oh btw I’m building a cyborg dragon
RT @hwitteman: That $35 that scientific journals charge you to read a paper goes 100% to the publisher, 0% to the authors. If you just email us to ask for our papers, we are allowed to send them to you for free, and we will be genuinely delighted to do so. https://t.co/NHEfiOMLfG
RT @Snowden: Facebook: "This is their information. They own it" BBC: "And you won’t sell it?" FB: "No! Of course not." Please help this 2009 interview of Facebook's CEO get seen by people who don't use Twitter. Here's a download link so you can pull and repost it: https://t.co/c
RT @Apple: Say hello to the future. iPhone X.
Network & Following Analysis
Based on 123 accounts followedFollowing Quality Signals
Who this account chooses to follow reveals their information diet and network quality.
15.4%
Verified Accounts
35.8%
High Authority (>50K)
100.0%
Dormant Accounts
5.7%
Low Quality
16,391
Median Reach of Followed Accounts
Heuristic analysis. For ML-powered bot detection, try our Bot Detector.
83.7%
Individuals
103 accounts
8.9%
Brands/Orgs
11 accounts
7.3%
Media/News
9 accounts
Most Influential Accounts They Follow
| Account | Followers | Profession | Interests |
|---|---|---|---|
| @elonmusk Elon Musk | 155,058,528 | Entrepreneur | Space, Technology, Innovation |
| @X X | 66,571,644 | Social Media Manager | - |
| @Tesla Tesla | 20,838,551 | Automotive/Tech | electric cars, batteries, solar |
| @tim_cook Tim Cook | 14,232,154 | CEO | Apple, Auburn, Duke |
| @AppStore App Store | 4,526,649 | Tech | Technology, Apps, Innovation |
| @verified Verified | 4,193,121 | - | - |
| @Dropbox Dropbox | 3,785,499 | Tech | technology, collaboration, support |
| @engadget Engadget | 2,370,094 | Tech Blogger | Technology, News, Reviews |
| @PancakeSwap PancakeSwap🥞Everyone's Favorite D3X | 1,776,175 | Cryptocurrency Trading | Trade, Earn, Win |
| @macworld Macworld | 533,902 | Tech Blogger | Apple, News, Reviews |
Key Insights & Takeaways
He frequently promotes his app Omnistat with updates and discounts, showing a focus on app marketing and user retention. His tweets often include personal items like his AirPods case, indicating a blend of professional and personal content. He engages with his audience during holidays, such as Christmas, to promote his app with special offers.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 74,083
- + Strong original content creation
- + 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 @mattlawer reveals an well-established Twitter presence with 74,083 followers. The account demonstrates a content-creator strategy, averaging 214.5 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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