Hard Rock Sofa
SIDE ONE RADIO SHOW https://streamlink.to/sideoneradio
103,234
Followers
182
Following
6,544
Tweets
10.1
Avg Engagement
359
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @HardRockSofa'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: Macro Influencer (100K+)
- Account Age:2010-04-25
- Verification:No
- Location:Los Angeles, CA
Data Summary
- Tweets Analyzed:3,119
- Avg Likes per Tweet:3.8
- Avg Retweets per Tweet:6.2
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,119 tweetsThe account averages 89 likes and 94 retweets per tweet, showing a moderate to high level of engagement. The content is well-received and shared by followers.
3.8
Avg Likes/Tweet
6.2
Avg Retweets/Tweet
11,947
Total Likes
19,476
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
3
Median Retweets
11
75th Percentile
890
Top Tweet
0.1
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
41.5%
Original
24.9%
Replies
33.6%
Retweets
0.0%
Quotes
0.0%
Threads
0.4%
With Media
50.1%
With Links
23.7%
With #Tags
78.8%
With @Mentions
6.9%
With Emojis
82
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.6
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
67.3%
Weekday Posts
32.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,119 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 1,048 retweets (34% 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 3,119 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 10,000 followersThe audience seems to be interested in music, events, and personal interactions. They are likely fans of the radio show and event attendees.
Average
Audience Quality
23.7%
Suspicion Index
22.7%
Low-Quality %
68
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
33.2%
Empty Bio
22.7%
<10 Tweets
21.0%
Mass Following (>2K)
0.0%
New (<90 days)
46.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
68.9%
No URL
12.2%
<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.
26,975,055
Total Potential Reach
68
Median Follower Reach
261
75th Percentile Reach
7.1%
>1K followers
1.2%
>10K followers
0.3%
>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).
47.8%
Creators
4,780 accounts
29.5%
Consumers
2,946 accounts
22.7%
Dormant
2,274 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):
53
Verified Followers
0.53% of total
841
Protected Accounts
8.41% 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 | 14,093,349 | Wrestler | Wrestling, Motivation, Self-promotion |
| @6BillionPeople | 2,025,883 | - | - |
| @KameronBennett | 1,819,975 | DJ | Music, DJing, Booking |
| @solalexasch | 681,370 | Musician | Music, Travel, Tattoos |
| @djkingassassin | 467,544 | DJ | Music, Club, Producer |
| @wolfganggartner | 278,201 | Musician | Music, Octopus Teeth, DJ |
| @drissawaked | 266,286 | Physician | Health education, Coronavirus, Medical specialist |
| @conquerer1 | 236,337 | Entertainer | MUSIC, AWARDS, CELEBRITIES |
| @ArtistsandMusic | 228,779 | Music Promoter | Music, Artists, Producers |
| @CHALLENGERmvsic | 206,569 | Tech Investor | music, tech, real estate |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,676
Followers With Bio
3,324
Followers Without Bio
66.76%
% With Bio
33.24%
% 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 3,119 analyzed2,945
Combined Engagement
0
Total Likes
2,945
Total Retweets
589
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @ministryofsound: RIP Frankie Knuckles, a legendary figure and pioneer of the house music revolution and without whom we wouldn’t exist http://t.co/TIgwqubDqv
RT @nickyromero: Actions speak louder than words
RT @thomasgold: Life is like a song: after a breakdown, there will always be a build-up!
RT @example: My new single PERFECT REPLACEMENT is out now !! https://t.co/nn5tOqxuT4 spread the word. CHEERS
RT @davidguetta: With @hardRockSofa and @djarnocost rocking fmif Pacha ibiza http://t.co/Ha1uya13jF
Key Insights & Takeaways
The account frequently shares personal messages and birthday wishes, indicating a focus on community and personal connections. It promotes events and ticket links, suggesting an emphasis on event attendance and promotion. The use of humor and emojis in tweets suggests a casual and relatable tone to engage followers.
Strengths
- + Established follower base of 103,234
- + 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 @HardRockSofa reveals an growing Twitter presence with 103,234 followers. The account demonstrates a content-creator strategy, averaging 10.1 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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