Nerdist
Everything you need to know about the worlds of TV, movies, books, sci-fi, fantasy, and more. This is your one-stop shop for all things nerd.
459,236
Followers
4,135
Following
195,769
Tweets
68.7
Avg Engagement
4,496
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @nerdist'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:2011-10-19
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:56.1
- Avg Retweets per Tweet:12.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,249 tweetsThe account maintains a high level of engagement with its followers, indicating a loyal and active community. The average likes and retweets suggest that the content is well-received and shared widely.
56.1
Avg Likes/Tweet
12.6
Avg Retweets/Tweet
182,126
Total Likes
40,957
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
24
Median Likes
2
Median Retweets
49
75th Percentile
11,185
Top Tweet
0.15
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
92.3%
Original
2.7%
Replies
4.7%
Retweets
0.2%
Quotes
0.0%
Threads
0.3%
With Media
95.8%
With Links
44.3%
With #Tags
9.8%
With @Mentions
5.8%
With Emojis
124
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.03
Reply/Original Ratio
0.05
Quote/RT Ratio
Posting Rhythm
Consistent
Regular posting cadence
87.7%
Weekday Posts
12.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,249 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 154 retweets (5% 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 3,249 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 followersThe audience is primarily fans of TV, movies, and sci-fi genres. They are likely to be active on social media and interested in staying updated with the latest news and content.
Average
Audience Quality
22.7%
Suspicion Index
22.4%
Low-Quality %
48
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
31.5%
Empty Bio
19.5%
<10 Tweets
15.3%
Mass Following (>2K)
0.0%
New (<90 days)
53.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
80.4%
No URL
13.3%
<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.
97,142,939
Total Potential Reach
48
Median Follower Reach
209
75th Percentile Reach
7.2%
>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).
63.2%
Creators
31,625 accounts
17.3%
Consumers
8,640 accounts
19.5%
Dormant
9,735 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):
1,529
Verified Followers
1.53% of total
13,155
Protected Accounts
13.15% of total
7 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 |
|---|---|---|---|
| @VancityReynolds | 21,299,475 | Actor | gin, mobile, soccer |
| @MrBeast | 19,599,621 | YouTuber | Philanthropy, YouTube, Charity |
| @JohnCena | 14,104,714 | Wrestler | Wrestling, Motivation, Self-promotion |
| @JohnCleese | 5,684,245 | Comedian | Comedy, Hermit, Squirrel |
| @McDonalds | 4,766,749 | Fast Food | Fast Food, Grimace, Friendship |
| @PearlThusi | 3,478,236 | Actress | Actress, Netflix, Africa |
| @SonyPictures | 3,292,233 | Entertainment | Movies, IMAX, Tickets |
| @brysontiller | 2,679,310 | Musician | father, gamer, artist |
| @mepauloavelino | 2,474,001 | Actor | Actor, Gamer, Fangirl |
| @RottenTomatoes | 2,400,101 | Movie critic | Movies, TV shows, Reviews |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
70,501
Followers With Bio
29,499
Followers Without Bio
70.5%
% With Bio
29.5%
% 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 3,249 analyzed27,723
Combined Engagement
25,662
Total Likes
2,061
Total Retweets
5,545
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
Pedro Pascal reminding you to watch #TheLastOfUs finale https://t.co/oarLhigUW5
Anna Torv appreciation post ✨ https://t.co/NNMOZSXw0X
starting the weekend // starting the week https://t.co/h1mSboN1P7
Joel and Ellie and Ellie #TheLastOfUs https://t.co/uZl1HqehOa
#TheBoys cast in big winter jackets is 🤌 https://t.co/Avq3aTE5Ey
Key Insights & Takeaways
The account frequently highlights popular shows and actors, which drives engagement. It uses a mix of promotional and appreciative content to keep the audience interested. The verified status of a small percentage of followers suggests a mix of real fans and brand partnerships.
Strengths
- + Established follower base of 459,236
- + 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 @nerdist reveals an growing Twitter presence with 459,236 followers. The account demonstrates a content-creator strategy, averaging 68.7 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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