Jared Kim
Current: 💸📈 • Past: CEO @Forge (acquired 2018) @WeGame (acquired 2011)
51,962
Followers
534
Following
682
Tweets
653.0
Avg Engagement
120
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @jaredkim'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:2006-12-18
- Verification:No
- Location:Los Angeles, CA
Data Summary
- Tweets Analyzed:390
- Avg Likes per Tweet:7.8
- Avg Retweets per Tweet:645.2
- Followers Analyzed:9,996
Engagement Analysis
Based on 390 tweetsHis tweets receive an average of 106 likes and 6 retweets, indicating a moderate level of interaction with his audience.
7.8
Avg Likes/Tweet
645.2
Avg Retweets/Tweet
3,055
Total Likes
251,615
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
0
Median Retweets
13
75th Percentile
60,661
Top Tweet
12.57
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
59.7%
Original
20.5%
Replies
10.5%
Retweets
9.2%
Quotes
0.0%
Threads
0.3%
With Media
48.7%
With Links
6.4%
With #Tags
36.7%
With @Mentions
2.8%
With Emojis
97
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.34
Reply/Original Ratio
0.88
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
69.7%
Weekday Posts
30.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 390 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 41 retweets (11% 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 390 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 followersHis audience appears to be interested in both tech and casual, relatable content, possibly including former colleagues and followers of his past ventures.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
70
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)
75.1%
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.
19,398,674
Total Potential Reach
70
Median Follower Reach
212
75th Percentile Reach
4.8%
>1K followers
0.6%
>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).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
9,996 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
880
Protected Accounts
8.8% 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 | 14,092,089 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Jason | 737,155 | Investor | startups, investing, podcasting |
| @PowerGPU | 312,819 | Entrepreneur | Gaming, Entrepreneurship, Custom PCs |
| @OfficialRezz | 308,363 | Musician | Music, Space, Aliens |
| @robtswthrayguns | 256,388 | Inventor | synthwave, NFT, NSFW |
| @1drcole | 198,363 | Doctor | Health, Animals, Climate |
| @jjjinvesting | 156,770 | Investor | Investing, Contrary Options, Vietnam Veteran |
| @iyagirL2016 | 124,556 | Crypto Influencer | Crypto, Giveaways, Daily |
| @USPSHelp | 123,119 | Customer Service | Customer service, postal service, support |
| @FlyinBrianJr | 108,426 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,485
Followers With Bio
2,515
Followers Without Bio
74.85%
% With Bio
25.15%
% 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 390 analyzed169,705
Combined Engagement
0
Total Likes
169,705
Total Retweets
33,941
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @jgm41: Mission complete. #Remembering41 https://t.co/rXdyXAS4lk
RT @StokesNeuro: Hi folks, I’m afraid it’s time for me to say goodbye. Not just leaving Twitter, but the whole show. I’ve been battling cancer last 2 years, but now only have a few days left now. Thank you wonderful people, I leave this crazy world with much love in my heart ❤️
RT @NatlParkService: To avoid crowds, visit areas that are less crowded.
RT @NatlParkService: If you come across a bear, never push a slower friend down…even if you feel the friendship has run its course.
RT @HumansNoContext: https://t.co/jxLBi1lGnc
Key Insights & Takeaways
His content often blends humor with personal anecdotes, which may help in building a relatable persona. He occasionally shares breaking news or unusual events, which could attract attention and drive engagement. His tweets include links, suggesting he may be promoting products, services, or personal projects.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 51,962
- + 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 @jaredkim reveals an well-established Twitter presence with 51,962 followers. The account demonstrates a content-creator strategy, averaging 653.0 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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