Nick Uhas
Science Communicator 🔥🥽🧪🥼business inquires: [email protected]
52,041
Followers
1,850
Following
13,484
Tweets
262.5
Avg Engagement
537
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @nickuhas'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:2009-04-06
- Verification:No
- Location:Los Angeles, CA
Data Summary
- Tweets Analyzed:3,181
- Avg Likes per Tweet:13.1
- Avg Retweets per Tweet:249.4
- Followers Analyzed:9,998
Engagement Analysis
Based on 3,181 tweetsNickuhas's tweets receive a high number of likes and retweets, indicating strong audience interaction. Their content is often shared and appreciated for its creativity and educational value.
13.1
Avg Likes/Tweet
249.4
Avg Retweets/Tweet
41,588
Total Likes
793,348
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
5
Median Likes
1
Median Retweets
15
75th Percentile
204,329
Top Tweet
5.04
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
37.7%
Original
7.3%
Replies
20.8%
Retweets
34.3%
Quotes
0.0%
Threads
0.9%
With Media
84.9%
With Links
23.5%
With #Tags
42.1%
With @Mentions
15.2%
With Emojis
109
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.19
Reply/Original Ratio
1.65
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.9%
Weekday Posts
25.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,181 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 661 retweets (21% 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 3,181 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 primarily interested in science, experiments, and entertainment. They enjoy content that is both informative and visually engaging.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
65
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
82.0%
No URL
100.0%
<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.
58,271,788
Total Potential Reach
65
Median Follower Reach
266
75th Percentile Reach
9.2%
>1K followers
2.4%
>10K followers
1.0%
>50K followers
0.6%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
9,998 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):
0
Verified Followers
0.0% of total
1,173
Protected Accounts
11.73% 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 |
|---|---|---|---|
| @Discovery | 9,207,488 | Media | Travel, Exploration, Education |
| @ScienceChannel | 3,264,581 | Science Communication | Science, Love, Channel |
| @RomanAtwood | 2,624,864 | YouTuber | Family, Smile, YouTube |
| @OleItumbi | 2,184,899 | Strategist | Politics, Communication, Farming |
| @tiktok_us | 2,154,632 | Social Media Influencer | Entertainment, Support, Videos |
| @HeffronDrive | 2,125,835 | Singer | Music, Acting, Travel |
| @6BillionPeople | 2,010,581 | - | - |
| @lmgriffjohnson | 1,709,858 | Influencer | TikTok, Entrepreneur, Music |
| @SebGorka | 1,408,314 | Political Commentator | Politics, National Security, Media |
| @ScottPresler | 1,402,506 | Activist | Politics, Activism, Community Service |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,737
Followers With Bio
3,263
Followers Without Bio
67.37%
% With Bio
32.63%
% 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 3,181 analyzed588,562
Combined Engagement
0
Total Likes
588,562
Total Retweets
117,712
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @SpaceX: Liftoff! https://t.co/DRBfdUM7JA
RT @DavidDobrik: New world record science experiment!! https://t.co/qwanUwNSiT
RT @elonmusk: Baby Yoda 💕 https://t.co/jpQvCccHb9
RT @elonmusk: Take the red pill 🌹
RT @elonmusk: 🇺🇸🇺🇸 Happy Independence Day! 🇺🇸🇺🇸 https://t.co/XJrU36jBZb
Key Insights & Takeaways
Collaborations with popular figures like David Dobrik boost engagement and visibility. High-energy and visually impressive experiments attract a wide audience. Using humor and relatable content helps make complex science topics more accessible.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 52,041
- + 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 @nickuhas reveals an well-established Twitter presence with 52,041 followers. The account demonstrates a content-creator strategy, averaging 262.5 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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