TAXI
Journaling ideas since 2003. #Design #Art #Technology #Innovation #CreativeInspiration
438,623
Followers
167
Following
89,409
Tweets
1.5
Avg Engagement
10,813
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @designtaxi'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:2008-03-10
- Verification:No
- Location:Everywhere
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:1.2
- Avg Retweets per Tweet:0.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsThe average engagement per tweet is moderate, with a focus on likes rather than retweets. The content tends to spark thoughtful interactions, especially around design and social issues.
1.2
Avg Likes/Tweet
0.3
Avg Retweets/Tweet
3,903
Total Likes
865
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
2
75th Percentile
30
Top Tweet
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
100.0%
Original
0.0%
Replies
0.0%
Retweets
0.0%
Quotes
0.0%
Threads
2.5%
With Media
100.0%
With Links
0.0%
With #Tags
0.0%
With @Mentions
5.0%
With Emojis
102
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.0
Reply/Original Ratio
0
Quote/RT Ratio
Posting Rhythm
Consistent
Regular posting cadence
71.7%
Weekday Posts
28.3%
Weekend Posts
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Content Strategy Analysis
Based on 3,250 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.
Posting Patterns & Optimal Timing
Based on 3,250 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 likely designers, artists, and tech enthusiasts who seek creative inspiration and innovative ideas. They are interested in topics like design, art, and technology, and are active in engaging with content.
Average
Audience Quality
27.4%
Suspicion Index
30.4%
Low-Quality %
17
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
32.3%
Empty Bio
39.9%
<10 Tweets
11.3%
Mass Following (>2K)
0.0%
New (<90 days)
56.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
74.9%
No URL
28.6%
<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.
49,723,293
Total Potential Reach
17
Median Follower Reach
130
75th Percentile Reach
5.5%
>1K followers
0.7%
>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).
39.2%
Creators
19,599 accounts
20.9%
Consumers
10,440 accounts
39.9%
Dormant
19,961 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):
476
Verified Followers
0.47% of total
7,878
Protected Accounts
7.8% 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 | 14,104,449 | Wrestler | Wrestling, Motivation, Self-promotion |
| @6BillionPeople | 2,036,138 | - | - |
| @zlj517 | 1,993,694 | Spokesman | Geopolitics, Diplomacy, Communication |
| @colourlovers | 1,497,169 | Design Community | Color, Design, Community |
| @SinghLions | 1,334,865 | Restaurateur | Food, Travel, Influencer |
| @GettyMuseum | 1,316,279 | Museum | Art, Los Angeles, Global |
| @Kickstarter | 975,174 | Crowdfunding | Creative projects, crowdfunding, innovation |
| @gretchenho | 960,293 | Morning Show Host | Athlete, Storyteller, #Happinews Ambassador |
| @ZachBoychuk | 829,690 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @larrykim | 729,161 | Entrepreneur | Startups, AdWords, Chatbots |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
57,125
Followers With Bio
43,868
Followers Without Bio
56.56%
% With Bio
43.44%
% 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 3,250 analyzed113
Combined Engagement
95
Total Likes
18
Total Retweets
23
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
The eye-catching design spotlights racial inequalities in the cannabis industry https://t.co/gDgIFZR0kf
“What if we reimagined the Mac folder icon into a usable wallet?” https://t.co/GbmfgBHYYy
The compilation also includes notifications and alarms https://t.co/GuqgM9Y9vU
The trailer transforms into an L-shaped home on wheels https://t.co/8jsfd9ak5V
Transform your space into a masterpiece with this 'Naruto Whirlpools of Awa Province' shadowbox art piece, featuring the iconic artwork by the legendary Hokusai https://t.co/jgXuquRmLe https://t.co/vYx9eeLKyx
Key Insights & Takeaways
The account frequently highlights social issues through design, such as racial inequalities in the cannabis industry. It encourages creative problem-solving by reimagining everyday objects like the Mac folder icon into functional items. It blends practical content with artistic and technological themes, appealing to a niche but engaged audience.
Strengths
- + Established follower base of 438,623
- + 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 @designtaxi reveals an growing Twitter presence with 438,623 followers. The account demonstrates a content-creator strategy, averaging 1.5 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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