Ryan Mac 🙃
tech reporter @NYTimes. [email protected] & [email protected]. DMs open. On Signal: +1-949-315-9364
90,735
Followers
5,122
Following
13,113
Tweets
542.7
Avg Engagement
1,943
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @RMac18'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:2009-06-14
- Verification:No
- Location:LA
Data Summary
- Tweets Analyzed:3,244
- Avg Likes per Tweet:257.4
- Avg Retweets per Tweet:285.3
- Followers Analyzed:9,998
Engagement Analysis
Based on 3,244 tweetsRMac18's tweets receive a high number of likes and retweets, indicating a highly engaged audience. Their content is often shared widely, suggesting relevance and timeliness.
257.4
Avg Likes/Tweet
285.3
Avg Retweets/Tweet
834,873
Total Likes
925,538
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
20
Median Likes
2
Median Retweets
97
75th Percentile
218,397
Top Tweet
5.98
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
26.4%
Original
50.2%
Replies
12.0%
Retweets
11.3%
Quotes
0.0%
Threads
1.0%
With Media
50.5%
With Links
0.5%
With #Tags
42.6%
With @Mentions
0.5%
With Emojis
123
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.9
Reply/Original Ratio
0.94
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
84.2%
Weekday Posts
15.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,244 tweetsContent Type Distribution
Content Breakdown
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 390 retweets (12% 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 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 9,998 followersThe audience is likely interested in tech news, media, and corporate culture. They are engaged with content that sparks debate or highlights industry controversies.
Average
Audience Quality
20.3%
Suspicion Index
19.1%
Low-Quality %
157
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
30.5%
Empty Bio
11.3%
<10 Tweets
26.7%
Mass Following (>2K)
0.0%
New (<90 days)
37.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
82.2%
No URL
7.8%
<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.
23,137,700
Total Potential Reach
157
Median Follower Reach
615
75th Percentile Reach
18.2%
>1K followers
2.8%
>10K followers
0.6%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
77.9%
Creators
7,788 accounts
10.8%
Consumers
1,080 accounts
11.3%
Dormant
1,130 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):
191
Verified Followers
1.91% of total
1,160
Protected Accounts
11.6% of total
9 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 |
|---|---|---|---|
| @jonfavs | 1,437,798 | Podcaster | Politics, Media, Podcasting |
| @javerias | 1,377,711 | Journalist | Photography, Journalism, Child Labour |
| @MariaSTsehai | 1,193,526 | Communications Expert | Communications, Producer, Director |
| @ChrisCillizza | 615,643 | Journalist | Politics, Journalism, Analysis |
| @PopWrapped | 498,387 | Entertainment News | Entertainment, Pop-culture, Fandoms |
| @alx | 496,257 | - | - |
| @MarioNawfal | 472,682 | - | - |
| @Scobleizer | 457,618 | Music Producer | Music, Metaverse, Dolby Atmos |
| @_AlexMenn | 369,407 | Venture Capitalist | VC, Angel Investor, Entrepreneur |
| @msuster | 334,852 | Venture Capitalist | entrepreneurship, investing, technology |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,951
Followers With Bio
3,049
Followers Without Bio
69.51%
% With Bio
30.49%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,244 analyzed568,129
Combined Engagement
241,400
Total Likes
326,729
Total Retweets
113,626
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
100%
With Links
Topical Analysis:
RT @benphillips76: A clip from Don’t Look Up, and then a real TV interview that just happened https://t.co/CokQ5eb3sO
Elon once tried to get me to write a story that a Thai-based British man, who had criticized him, was a “child rapist” and took a 12 year old bride based on information someone sent him. That someone ended up being a conman pretending to be a private investigator. https://t.co/jx
The Onion went on a tear in the last 12 hours and then this happened https://t.co/SkDgYmpiB3
RT @killklassy: the prophecy has been fulfilled https://t.co/jB0Md2VuT3
My favorite corporate Juneteenth moment is when Elon Musk told Tesla and SpaceX workers that Juneteenth was considered a US holiday, then later clarified that employees who wanted to observe it would have to take a paid time off day. https://t.co/fXM2sCyj8m
Key Insights & Takeaways
RMac18's tweets often involve high-profile tech figures and controversial topics, which drive engagement. Their content frequently highlights media and corporate behavior, suggesting a focus on industry analysis. They maintain a professional yet accessible tone, which helps in building a loyal following.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 90,735
- + 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 @RMac18 reveals an well-established Twitter presence with 90,735 followers. The account demonstrates a conversation-first approach, averaging 542.7 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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