John Nosta
The Cognitive Age—a remarkable leap in human capability and understanding enabled by artificial intelligence.
77,592
Followers
53,827
Following
151,906
Tweets
397.7
Avg Engagement
2,907
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @JohnNosta'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:2009-01-29
- Verification:No
- Location:07945
Data Summary
- Tweets Analyzed:3,156
- Avg Likes per Tweet:3.9
- Avg Retweets per Tweet:393.8
- Followers Analyzed:10,997
Engagement Analysis
Based on 3,156 tweetsOn average, his tweets receive 176 likes and 43 retweets, showing a strong level of interaction. His verified status at 13.0% suggests a mix of personal and professional accounts.
3.9
Avg Likes/Tweet
393.8
Avg Retweets/Tweet
12,326
Total Likes
1,242,799
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
3
Median Retweets
19
75th Percentile
128,286
Top Tweet
5.13
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
35.6%
Original
8.4%
Replies
53.4%
Retweets
2.6%
Quotes
0.0%
Threads
0.5%
With Media
87.8%
With Links
64.5%
With #Tags
73.3%
With @Mentions
14.0%
With Emojis
199
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.23
Reply/Original Ratio
0.05
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
78.2%
Weekday Posts
21.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,156 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 1,686 retweets (53% 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 3,156 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 10,997 followersHis followers are likely interested in technology, healthcare, and space exploration. They are engaged and interested in cutting-edge developments and expert opinions.
Good
Audience Quality
19.1%
Suspicion Index
16.7%
Low-Quality %
171
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
25.6%
Empty Bio
12.4%
<10 Tweets
28.7%
Mass Following (>2K)
0.0%
New (<90 days)
30.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
72.2%
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.
58,255,370
Total Potential Reach
171
Median Follower Reach
735
75th Percentile Reach
20.8%
>1K followers
4.5%
>10K followers
1.4%
>50K followers
0.7%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
71.6%
Creators
7,870 accounts
16.1%
Consumers
1,768 accounts
12.4%
Dormant
1,359 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):
1,433
Verified Followers
13.03% of total
743
Protected Accounts
6.76% 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 | 14,096,802 | Wrestler | Wrestling, Motivation, Self-promotion |
| @KimDotcom | 1,414,926 | Entrepreneur | Entrepreneur, Gamer, Internet Freedom |
| @unusual_whales | 1,376,890 | Finance Trading | Stocks, Options, Crypto |
| @MattWallace888 | 1,089,866 | YouTuber | Crypto, Dogecoin, YouTube |
| @GrantCardone | 995,934 | Entrepreneur | Real Estate, Entrepreneurship, Investing |
| @EdKrassen | 975,542 | Journalist | Politics, Journalism, Author |
| @TessaBrooks | 966,691 | Dancer | Dance, Smile, YouTube |
| @segalink | 932,230 | Activist | Life, Leadership, Legacy |
| @DrEricDing | 776,025 | Epidemiologist | Epidemiology, Health, Whistleblower |
| @iownjd | 768,084 | Lawyer | learn, inspire, engage |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
8,180
Followers With Bio
2,819
Followers Without Bio
74.37%
% With Bio
25.63%
% 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 3,156 analyzed327,054
Combined Engagement
0
Total Likes
327,054
Total Retweets
65,411
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @TuckerCarlson: Ep. 2 Cling to your taboos! https://t.co/45AeVdtwOu
RT @elonmusk: The BBC interview last week was exceptional in illustrating why you cannot rely on the media for truth
RT @elonmusk: https://t.co/YTKTkGvrVA
RT @elonmusk: Would be great to have shows from all parts of the political spectrum on this platform! https://t.co/hrzEH31Pk0
RT @elonmusk: Twitter Blue Verified subscribers can now upload 2 hour videos (8GB)!
Key Insights & Takeaways
Focus on AI's transformative role in medicine and healthcare Promotion of space exploration and technological progress Highlighting the impact of chatbots in improving patient care and communication
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 77,592
- + 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 @JohnNosta reveals an well-established Twitter presence with 77,592 followers. The account demonstrates a content-creator strategy, averaging 397.7 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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