Wolfram|Alpha
Official info source for Wolfram|Alpha, the computational intelligence engine by @WolframResearch founded by @stephen_wolfram.
64,192
Followers
768
Following
6,753
Tweets
8.3
Avg Engagement
2,505
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Wolfram_Alpha'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:2009-04-24
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,202
- Avg Likes per Tweet:4.3
- Avg Retweets per Tweet:3.9
- Followers Analyzed:9,996
Engagement Analysis
Based on 3,202 tweetsThe account maintains an average of 125 likes and 36 retweets per tweet, indicating moderate engagement. The use of links and emojis suggests an effort to boost interaction and visibility.
4.3
Avg Likes/Tweet
3.9
Avg Retweets/Tweet
13,836
Total Likes
12,638
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
8
75th Percentile
2,962
Top Tweet
0.13
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
42.5%
Original
50.1%
Replies
5.9%
Retweets
1.5%
Quotes
0.0%
Threads
0.1%
With Media
77.9%
With Links
25.5%
With #Tags
67.6%
With @Mentions
14.1%
With Emojis
96
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.18
Reply/Original Ratio
0.25
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
97.3%
Weekday Posts
2.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,202 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 190 retweets (6% 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 3,202 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 9,996 followersThe primary audience includes users of Wolfram|Alpha, tech enthusiasts, and followers of Wolfram Research. The account also engages with a mix of individuals and brands through direct mentions.
Average
Audience Quality
25.7%
Suspicion Index
26.3%
Low-Quality %
48
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
37.5%
Empty Bio
23.1%
<10 Tweets
17.8%
Mass Following (>2K)
0.0%
New (<90 days)
57.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
79.9%
No URL
15.1%
<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.
21,455,894
Total Potential Reach
48
Median Follower Reach
182
75th Percentile Reach
6.3%
>1K followers
0.9%
>10K followers
0.2%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
56.6%
Creators
5,656 accounts
20.3%
Consumers
2,026 accounts
23.1%
Dormant
2,314 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):
336
Verified Followers
3.36% of total
1,334
Protected Accounts
13.34% 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 |
|---|---|---|---|
| @JohnCena | 14,074,866 | Wrestler | Wrestling, Motivation, Self-promotion |
| @AxieInfinity | 870,471 | Gaming | Battle, Collect, Earn |
| @AndrewMayne | 740,262 | Author | Novelist, Shark Week, Science |
| @Scobleizer | 464,065 | Music Producer | Music, Metaverse, Dolby Atmos |
| @akalamusic | 316,837 | Musician | Music, Education, Activism |
| @TheRealLilEdd | 166,228 | Mix Engineer | Music, Mixing, Engineering |
| @zakwilliams | 136,239 | Mental Health Advocate | Mental Health, Mood Support, Advocacy |
| @OptionsHawk | 98,598 | Trader | Trading, Market Coverage, Options |
| @DegenerateNews | 94,133 | Journalist | NFTs, DegenerateSpice, Discord |
| @goodside | 72,090 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,253
Followers With Bio
3,747
Followers Without Bio
62.53%
% With Bio
37.47%
% 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.
Buy Follower Data
Export full follower list with profile details, bios, locations, and follower counts as CSV.
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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 3,202 analyzed6,640
Combined Engagement
0
Total Likes
6,640
Total Retweets
1,328
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @sama: we are starting our rollout of ChatGPT plugins. you can install plugins to help with a wide variety of tasks. we are excited to see what developers create! https://t.co/NQ684Yp2LK https://t.co/m7b6vJrj5D
RT @stephen_wolfram: 2.5 months later...in collaboration with @openAI , ChatGPT gets its "Wolfram superpowers"! https://t.co/93hCaOTTj6 https://t.co/TgYQ1OHXDd
RT @pm85122: WolframAlpha先生に5000兆円欲しいって聞いてみたら「成功の公式：早起き、勤勉、石油王」って答えが帰ってきた https://t.co/EmFGVzqlqT
RT @stephen_wolfram: How does the impressively human-like #ChatGPT get computational knowledge superpowers? Give it a Wolfram|Alpha neural implant! https://t.co/MwFatm6gQA https://t.co/oEBtHFzQjU
RT @ajthebrand: 1. WolframAlpha Uses AI to answer complex questions in math, science, and life. https://t.co/q2xJ9gqQxG https://t.co/pmYRul8KOF
Key Insights & Takeaways
The account frequently interacts with users through direct mentions, highlighting a personalized approach. It promotes Wolfram|Alpha's capabilities and encourages user engagement through links and emotional cues like emojis. The use of humor and relatable content (e.g., Burger King mention) helps maintain a casual and approachable tone.
Strengths
- + Established follower base of 64,192
- + High community engagement through conversations
- + 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 @Wolfram_Alpha reveals an growing Twitter presence with 64,192 followers. The account demonstrates a conversation-first approach, averaging 8.3 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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