BRAINFEEDER
Brainfeeder is a label created by @FlyingLotus. We are here to feed brains.
96,008
Followers
1,675
Following
20,138
Tweets
174.4
Avg Engagement
1,495
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @BRAINFEEDER'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:2009-04-16
- Verification:No
- Location:LOS ANGELES, WORLDWIDE.
Data Summary
- Tweets Analyzed:3,186
- Avg Likes per Tweet:36.8
- Avg Retweets per Tweet:137.7
- Followers Analyzed:9,998
Engagement Analysis
Based on 3,186 tweetsThe label's tweets receive a high number of likes and retweets, indicating strong audience interaction. The content is well-received and often shared within the community.
36.8
Avg Likes/Tweet
137.7
Avg Retweets/Tweet
117,136
Total Likes
438,612
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
13
Median Retweets
74
75th Percentile
15,961
Top Tweet
1.82
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
19.9%
Original
0.8%
Replies
78.3%
Retweets
1.0%
Quotes
0.0%
Threads
0.6%
With Media
94.1%
With Links
11.7%
With #Tags
97.3%
With @Mentions
29.2%
With Emojis
167
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.04
Reply/Original Ratio
0.01
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
87.4%
Weekday Posts
12.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,186 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 2,495 retweets (78% 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 3,186 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 primarily consists of music enthusiasts, particularly fans of hip-hop and electronic music. They are likely to be younger and tech-savvy, interested in new releases and artist news.
Good
Audience Quality
19.3%
Suspicion Index
19.6%
Low-Quality %
61
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
26.8%
Empty Bio
19.3%
<10 Tweets
12.1%
Mass Following (>2K)
0.0%
New (<90 days)
43.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
64.3%
No URL
12.5%
<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.
25,087,990
Total Potential Reach
61
Median Follower Reach
245
75th Percentile Reach
7.7%
>1K followers
1.0%
>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).
61.9%
Creators
6,190 accounts
18.8%
Consumers
1,881 accounts
19.3%
Dormant
1,927 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):
81
Verified Followers
0.81% of total
1,116
Protected Accounts
11.16% of total
6 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 | 14,093,252 | Wrestler | Wrestling, Motivation, Self-promotion |
| @hannibalburess | 991,343 | Comedian | Comedy, Booking, Entertainment |
| @denzelcurry | 684,788 | Musician | Music, Future, Eyez |
| @beatport | 616,886 | Music Platform | Electronic Music, Support, Home |
| @pranksy | 439,840 | NFT Collector | NFTs, OG, Collector |
| @madeintyo | 402,430 | Rapper | Music, Tokyo, Yokohama |
| @stereogum | 361,369 | Music Blog | Music, Culture, News |
| @garyhgoodridge | 360,837 | Fighter | UFC, Arm Wrestling, Mental Health |
| @tom_watson | 293,645 | Author | Books, Podcasting, Music |
| @GetterOfficial | 216,990 | Musician | Music, Comedy, Politics |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,322
Followers With Bio
2,678
Followers Without Bio
73.22%
% With Bio
26.78%
% 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 3,186 analyzed58,827
Combined Engagement
10,130
Total Likes
48,697
Total Retweets
11,765
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @Thundercat: Mac Miller forever. https://t.co/bYBw4JMCNs
RT @Thundercat: This one definitely for Mac.
“Drunk” by @Thundercat dropped 6 years ago today! https://t.co/IlcDB7MM6y
RT @Thundercat: It really is what it is.
RT @flyinglotus: All u ever needed in hip hop was this record. Sorted. Done. Give it to the fucking aliens https://t.co/knqTs1Q1HV
Key Insights & Takeaways
The label frequently shares content related to its artists and collaborations, which drives engagement. Older tweets with nostalgic value, like the 'Drunk' release, still generate interest. There is a focus on honoring artists and acknowledging their contributions to the music scene.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 96,008
- + 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 @BRAINFEEDER reveals an well-established Twitter presence with 96,008 followers. The account demonstrates a content-creator strategy, averaging 174.4 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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