@jason

@jason

@Jason

World's Greatest Moderator (TM): @twistartups @theallinpod I invest in 150 startups a year @launch & @founderuni apply for funding at https://launch.co/apply

California, USA https://linktr.ee/calacanis/ Joined 2006-08-05 Date of Analysis: Dec 16, 2025

763,460

Followers

2,607

Following

49,658

Tweets

540.4

Avg Engagement

15,581

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @Jason'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:2006-08-05
  • Verification:No
  • Location:California, USA

Data Summary

  • Tweets Analyzed:3,228
  • Avg Likes per Tweet:473.7
  • Avg Retweets per Tweet:66.7
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,228 tweets

Jason's tweets receive high engagement with average likes and retweets, indicating a strong and active community. His content is well-received and widely shared.

473.7

Avg Likes/Tweet

66.7

Avg Retweets/Tweet

1,529,179

Total Likes

215,353

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

39

Median Likes

2

Median Retweets

279

75th Percentile

75,741

Top Tweet

0.71

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

25.7%

Original

60.8%

Replies

4.4%

Retweets

9.2%

Quotes

0.0%

Threads

0.4%

With Media

34.5%

With Links

2.6%

With #Tags

68.9%

With @Mentions

16.4%

With Emojis

114

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

2.37

Reply/Original Ratio

2.1

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

64.7%

Weekday Posts

35.3%

Weekend Posts

Top Hashtags

#1 (9) #chatgpt (5) #twitterai (3) #jaytrading (3) #austerity (3) #rideordie (3) #16 (2) #leadership (2) #basedcal (2) #svb (2)

Most Mentioned

@davidsacks (230) @theallinpod (185) @elonmusk (131) @twistartups (106) @friedberg (88) @chamath (68) @jason (56) @launch (30) @karaswisher (28) @sbf_ftx (28)

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Content Strategy Analysis

Based on 3,228 tweets

Content Type Distribution

Content Breakdown

Original Tweets 829 (26%)
Replies 1,962 (61%)
Retweets 141 (4%)
Quote Tweets 296 (9%)

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 141 retweets (4% 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 3,228 tweets

Engagement 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 followers

His audience is primarily interested in startups, tech innovation, and investment opportunities. They are likely entrepreneurs, investors, and tech enthusiasts.

Average

Audience Quality

24.6%

Suspicion Index

33.7%

Low-Quality %

30

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

44.9%

Empty Bio

32.4%

<10 Tweets

8.6%

Mass Following (>2K)

0.0%

New (<90 days)

46.4%

Low Ratio (<0.1)

0.0%

New (<180 days)

83.8%

No URL

22.4%

<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.

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Follower Reach & Influence

This account's followers have their own audiences, creating potential for secondary amplification.

58,153,215

Total Potential Reach

30

Median Follower Reach

148

75th Percentile Reach

6.7%

>1K followers

1.1%

>10K followers

0.3%

>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).

45.8%

Creators

22,918 accounts

21.8%

Consumers

10,897 accounts

32.4%

Dormant

16,185 accounts

3,212

Verified Followers

6.42% of total

11.7%

Professional Bios

founder, dev, analyst, etc.

0.11

Median Follow Ratio

follower/following

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):

United States (643) San Francisco, CA (435) Los Angeles, CA (309) New York, NY (263) London, England (221) California, USA (215) New York, USA (202) USA (199) Earth (167) Austin, TX (162)

6,151

Verified Followers

6.09% of total

8,821

Protected Accounts

8.73% 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
@DonaldJTrumpJr 9,823,092 Businessman Father, Outdoorsman, Boardroom Advisor
@channelone_rus 2,953,749 - -
@engineers_feed 2,773,877 Engineer Engineering, History, Quizzes
@megynkelly 2,721,324 Journalist Family, Journalism, Love
@GwynethPaltrow 2,708,360 Actress Acting, Wellness, Lifestyle
@drdrew 2,649,726 Medical Professional Medicine, Addiction, TV
@diplo 2,440,292 Musician Music, DJing, Collaboration
@DJFreshSA 2,391,043 DJ Music, Radio, House
@TulsiGabbard 2,199,207 Politician Politics, Veteran, Yoga
@hodgetwins 1,921,327 Comedians Merch, Giveaways, Podcast

Top Keywords in Follower Bios

love (1,756) life (1,682) founder (1,674) tech (1,643) crypto (1,570) engineer (1,422) business (1,400) world (1,323) enthusiast (1,289) investor (1,237)

Top Hashtags in Follower Bios

#bitcoin (783) #btc (220) #crypto (218) #ai (166) #nft (165) #web3 (133) #eth (116) #maga (97) #blockchain (88) #tech (81)

55,563

Followers With Bio

45,433

Followers Without Bio

55.02%

% With Bio

44.98%

% 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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Viral Tweets

Top 5 by likes+RTs from 3,228 analyzed

268,451

Combined Engagement

242,097

Total Likes

26,354

Total Retweets

53,690

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

0%

With @Mentions

80%

With Links

Topical Analysis:

Startups Tech Innovation Ai Corporate Strategy Humor Investment

Key Insights & Takeaways

He frequently references major tech companies like Facebook and TikTok, suggesting a focus on industry leadership and corporate strategy. He uses humor and pop culture references, such as SNL and Kobayashi Maru, to engage his audience. His content often highlights AI advancements and their implications, indicating a keen interest in emerging technologies.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 763,460
  • + 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 @Jason reveals an well-established Twitter presence with 763,460 followers. The account demonstrates a conversation-first approach, averaging 540.4 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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About This Analysis: This analysis is based on a snapshot of followers, following, and recent tweets. It evaluates structure, quality, and behavior, not historical growth. Metrics like growth rate, momentum, churn, or spike analysis require time-series data which is not available from a single snapshot.

Data collected and analyzed by twtData | Analysis date: Dec 16, 2025