Kazuki Fujisawa
藤沢数希。PhD。メルマガ週刊金融日記。物理学研究者、投資銀行クオンツ・トレーダー職等を経て、作家・投資家。香港在住。著書：なぜ投資のプロはサルに負けるのか、グローバル資本主義を生き抜くための経済学入門、反原発の不都合な真実、外資系金融の終わり、損する結婚 儲かる離婚、ぼく愛、コスパで考える学歴攻略法
202,958
Followers
1,675
Following
70,777
Tweets
110.6
Avg Engagement
6,142
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @kazu_fujisawa'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:2010-01-09
- Verification:No
- Location:Hong Kong
Data Summary
- Tweets Analyzed:3,244
- Avg Likes per Tweet:54.0
- Avg Retweets per Tweet:56.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,244 tweets平均的なリツイートといいね数は高い水準で、読者との対話が活発。ツイートの内容が社会的・経済的議論を引き起こす傾向がある。
54.0
Avg Likes/Tweet
56.6
Avg Retweets/Tweet
175,063
Total Likes
183,692
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
26
Median Likes
3
Median Retweets
59
75th Percentile
136,185
Top Tweet
0.54
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
18.5%
Original
48.1%
Replies
15.3%
Retweets
18.1%
Quotes
0.0%
Threads
0.2%
With Media
54.7%
With Links
3.6%
With #Tags
17.8%
With @Mentions
13.2%
With Emojis
100
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.6
Reply/Original Ratio
1.19
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
72.3%
Weekday Posts
27.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,244 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 496 retweets (15% 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 3,244 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 followers主に投資家、経済関心者、社会問題に興味を持つ人々がフォロワー。学術的背景を持つ読者層も含まれる。
Average
Audience Quality
21.9%
Suspicion Index
28.4%
Low-Quality %
37
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
35.9%
Empty Bio
28.3%
<10 Tweets
9.0%
Mass Following (>2K)
0.0%
New (<90 days)
43.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.6%
No URL
20.8%
<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.
30,944,216
Total Potential Reach
37
Median Follower Reach
189
75th Percentile Reach
6.2%
>1K followers
0.6%
>10K followers
0.1%
>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).
52.3%
Creators
26,142 accounts
19.4%
Consumers
9,707 accounts
28.3%
Dormant
14,151 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):
804
Verified Followers
0.8% of total
20,307
Protected Accounts
20.11% of total
6 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 |
|---|---|---|---|
| @hikakin | 6,507,134 | YouTuber | YouTube, SNS, Collaboration |
| @hirox246 | 2,384,050 | Author | Books, Comedy, Effort |
| @SinghLions | 1,334,070 | Restaurateur | Food, Travel, Influencer |
| @RexChapman | 1,254,095 | Commentator | Basketball, Horse racing, Commentary |
| @AllBlacks | 1,047,922 | Sports Team | Rugby, New Zealand, Sports |
| @WSBChairman | 906,672 | Finance | Finance, Stocks, Memes |
| @takeshi_tsuruno | 655,125 | Singer | music, singing, art |
| @IHayato | 564,204 | Crypto Influencer | NFTs, Crypto, Japan |
| @tesuta001 | 555,752 | Trader | Stocks, Anti-fraud, Investment |
| @orangebook_ | 482,618 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
65,410
Followers With Bio
35,588
Followers Without Bio
64.76%
% With Bio
35.24%
% 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 tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,244 analyzed166,902
Combined Engagement
10,035
Total Likes
156,867
Total Retweets
33,380
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
40%
With Links
Topical Analysis:
RT @elonmusk: 🇲🇦🇲🇦 Congrats Morocco!! 🇲🇦🇲🇦
RT @consultnt_a: 友人が同棲から籍入れたんだけど、籍入れる前は結婚式とか別にしなくて良いって言ってた彼女が籍入れた途端に 「実は結婚式挙げるのが夢だった」「結婚式は絶対ディズニーが良い」「お金はないから全額出して欲しい」 ってコンボを叩き込まれた話を聞いて朝から…
RT @elonmusk: @TrungTPhan Why the puff piece @nytimes?
香港のハーゲンダッツはフランス🇫🇷工場から来るから1本600円するんだよな。群馬の工場から輸入すればいいと思うんだけど。ちなみに、ハーゲンダッツの工場は世界に4つしかありません。 https://t.co/64KmdMWjS6
Twitter社のビフォーアフターだが、拙著の教育本に絡めてコメントすると、左が学費免除で奨学金等もらってる典型的な米大学の理系PhD Studentsで、右が裕福な家庭で大事に育てられて米大学の学部に4000万円払って卒業した子たち。 https://t.co/DJ5wOjszzP https://t.co/PpqrKJr1bL
Key Insights & Takeaways
日本社会の変化が深刻な社会主義的傾向に移行していると指摘している。 経済的格差や制度の不備が社会の不満を生んでいる。 教育やキャリアの選択肢が多様化し、個人の自由が重視されている。
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 202,958
- + 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 @kazu_fujisawa reveals an well-established Twitter presence with 202,958 followers. The account demonstrates a conversation-first approach, averaging 110.6 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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