Luke Martin
I tweet about coins going up or down and try to buy the ones going up. Host @StacksPodcast
325,992
Followers
2,149
Following
37,119
Tweets
90.0
Avg Engagement
6,390
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @VentureCoinist'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:2017-06-22
- Verification:No
- Location:San Francisco, CA
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:64.3
- Avg Retweets per Tweet:25.8
- Followers Analyzed:50,000
- Following Analyzed:1,944
Engagement Analysis
Based on 3,249 tweetsVentureCoinist's tweets typically receive a high number of likes and retweets, indicating strong audience interaction. Their content often sparks discussions and debates, especially around controversial crypto topics.
64.3
Avg Likes/Tweet
25.8
Avg Retweets/Tweet
208,880
Total Likes
83,672
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
6
Median Likes
0
Median Retweets
33
75th Percentile
45,907
Top Tweet
0.28
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
10.2%
Original
86.2%
Replies
2.9%
Retweets
0.6%
Quotes
0.0%
Threads
0.1%
With Media
18.7%
With Links
0.3%
With #Tags
88.8%
With @Mentions
11.3%
With Emojis
102
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
8.47
Reply/Original Ratio
0.22
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
85.5%
Weekday Posts
14.5%
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 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 95 retweets (3% 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 interested in cryptocurrency and investment opportunities, with a mix of casual and informed followers. They are likely to engage with content that combines financial analysis with entertainment.
Average
Audience Quality
22.0%
Suspicion Index
24.0%
Low-Quality %
57
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
35.4%
Empty Bio
20.0%
<10 Tweets
15.1%
Mass Following (>2K)
0.0%
New (<90 days)
47.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
84.3%
No URL
12.6%
<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.
96,040,978
Total Potential Reach
57
Median Follower Reach
240
75th Percentile Reach
9.8%
>1K followers
1.8%
>10K followers
0.5%
>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).
57.6%
Creators
28,825 accounts
22.4%
Consumers
11,197 accounts
20.0%
Dormant
9,978 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):
3,496
Verified Followers
3.5% of total
6,804
Protected Accounts
6.8% of total
5 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 | 14,103,407 | Wrestler | Wrestling, Motivation, Self-promotion |
| @CryptoWeb3_NFT | 4,365,076 | - | - |
| @DezBryant | 3,498,247 | Athlete | Athlete, Founder, #ThrowUpTheX |
| @FaZe_Rain | 3,180,219 | Gamer | Gaming, eSports, Improvement |
| @garyvee | 3,168,460 | Entrepreneur | Family, CEO, Investor |
| @Banks | 2,813,387 | Gamer | gaming, internet, music |
| @WhaleCartel | 2,728,128 | - | - |
| @nikhilchinapa | 1,931,781 | Presenter | Music, Festivals, Entrepreneur |
| @HuobiGlobal | 1,435,717 | - | - |
| @AlexisRen | 1,392,888 | Model | Fashion, Travel, Wellness |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
62,682
Followers With Bio
37,318
Followers Without Bio
62.68%
% With Bio
37.32%
% 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 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 3,249 analyzed112,019
Combined Engagement
54,119
Total Likes
57,900
Total Retweets
22,404
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
40%
With Links
Topical Analysis:
RT @VitalikButerin: And we finalized! Happy merge all. This is a big moment for the Ethereum ecosystem. Everyone who helped make the merge…
Ken Griffin, CEO of Citadel, highlighting one of the darkest details of the entire FTX situation. How deep does the rabbit hole go? What was FTX? https://t.co/2tSSH0SCK2
@elonmusk please bring back *Chronological* feed with no algo the "Following" page still doesn't show tweets for people I follow ty sir
Hilarious watching 2 very different conclusions these people have to the SBF/FTX scam: 1)Joe Rogan, no crypto experience eating shrooms live on air understands it was a ponzi 2)Kevin O'Leary, professional fund manager paid $15M by FTX needs more info & would invest in SBF a
Incredible video of a person surviving a bear attack. It is possible to defeat them and he showed us the technique: Next time you buy a coin, make the same noises he does to increase profitability. https://t.co/koOLHyOtVH
Network & Following Analysis
Based on 1,944 accounts followedFollowing Quality Signals
Who this account chooses to follow reveals their information diet and network quality.
53.3%
Verified Accounts
36.2%
High Authority (>50K)
100.0%
Dormant Accounts
5.5%
Low Quality
23,013
Median Reach of Followed Accounts
Heuristic analysis. For ML-powered bot detection, try our Bot Detector.
81.2%
Individuals
1,578 accounts
10.8%
Brands/Orgs
210 accounts
8.0%
Media/News
156 accounts
Most Influential Accounts They Follow
| Account | Followers | Profession | Interests |
|---|---|---|---|
| @realDonaldTrump Donald J. Trump | 87,259,026 | - | - |
| @X X | 66,567,346 | Social Media Manager | - |
| @kanyewest ye | 31,750,894 | - | - |
| @Tesla Tesla | 20,835,349 | Automotive/Tech | electric cars, batteries, solar |
| @neiltyson Neil deGrasse Tyson | 14,717,344 | Astrophysicist | Science, Space, Education |
| @joerogan Joe Rogan | 11,684,757 | Comedian | Stand up comedy, MMA, psychedelics |
| @binance Binance | 10,755,833 | Cryptocurrency Exchange | Cryptocurrency, Blockchain, Digital Assets |
| @TuckerCarlson Tucker Carlson | 9,978,256 | TV Host | Politics, News, Media |
| @F1 Formula 1 | 9,637,096 | Motorsport | Formula 1, F1Fantasy, Prizes |
| @cz_binance CZ 🔶 Binance | 8,606,616 | Cryptocurrency Trader | Crypto, Binance, Bitcoin |
Key Insights & Takeaways
They often highlight high-profile figures and events in the crypto space, such as Ken Griffin's comments on FTX. They share both educational and entertaining content, which helps maintain audience interest. Their approach to buying coins based on price trends suggests a focus on market-driven investment strategies.
Strengths
- + Established follower base of 325,992
- + 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 @VentureCoinist reveals an growing Twitter presence with 325,992 followers. The account demonstrates a conversation-first approach, averaging 90.0 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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