多井隆晴🦅(おおいたかはる)

多井隆晴🦅(おおいたかはる)

@takaharu_ooi

YouTubeで毎日何かをしている「たかちゃん」です!配信者を応援してます📣 麻雀プロだったりもします(笑)大和証券Mリーグ、渋谷ABEMAS(アベマズ)所属。RMU(あーるえむゆー)という麻雀プロ団体の代表もしてたり。 FANBOXはこちら https://takaharu-ooi.fanbox.cc/

ABEMA https://www.youtube.com/channel/UCihYMokYrglpPKgjzbZYgqA/ Joined 2012-04-30 Date of Analysis: Dec 16, 2025

179,180

Followers

3,074

Following

110,702

Tweets

691.8

Avg Engagement

2,495

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @takaharu_ooi'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:2012-04-30
  • Verification:No
  • Location:ABEMA

Data Summary

  • Tweets Analyzed:3,243
  • Avg Likes per Tweet:420.0
  • Avg Retweets per Tweet:271.8
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,243 tweets

His tweets receive a high number of likes and retweets, indicating strong audience interaction. His content often includes personal updates, event participation, and motivational messages.

420.0

Avg Likes/Tweet

271.8

Avg Retweets/Tweet

1,362,003

Total Likes

881,579

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

216

Median Likes

32

Median Retweets

659

75th Percentile

53,969

Top Tweet

3.86

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Commentator

Adds perspective to others content

32.6%

Original

5.0%

Replies

30.0%

Retweets

32.4%

Quotes

0.0%

Threads

0.0%

With Media

67.7%

With Links

32.0%

With #Tags

46.8%

With @Mentions

20.3%

With Emojis

97

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0.15

Reply/Original Ratio

1.08

Quote/RT Ratio

Posting Rhythm

Somewhat Bursty

Occasional posting spikes

72.1%

Weekday Posts

27.9%

Weekend Posts

Top Hashtags

#mリーグ (237) #渋谷abemas (201) #神域リーグ (96) #雀魂 (69) #アーキレソ (51) #多井隆晴 (41) #にじたま (37) #咲乃もこ (33) #初心1のくせに (27) #麻雀 (24)

Most Mentioned

@g9v9g_mirei (163) @youtubeより (133) @sakinomoco (78) @takaharu_ooi (72) @amamiya_kokoro (55) @mahjongsoul_jp (45) @kiskq_ (32) @shibuya_abemas (32) @s_shochan0827 (32) @haneru_inaba (29)

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Content Strategy Analysis

Based on 3,243 tweets

Content Type Distribution

Content Breakdown

Original Tweets 1,058 (33%)
Replies 162 (5%)
Retweets 972 (30%)
Quote Tweets 1,051 (32%)

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 972 retweets (30% 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 3,243 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 includes mahjong enthusiasts, fans of his YouTube content, and followers of his social media activities. He also attracts attention from sports and entertainment fans due to his involvement in various events.

Good

Audience Quality

18.0%

Suspicion Index

23.6%

Low-Quality %

36

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

32.9%

Empty Bio

21.2%

<10 Tweets

4.5%

Mass Following (>2K)

0.0%

New (<90 days)

39.5%

Low Ratio (<0.1)

0.0%

New (<180 days)

90.3%

No URL

14.3%

<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.

31,744,516

Total Potential Reach

36

Median Follower Reach

178

75th Percentile Reach

4.0%

>1K followers

0.5%

>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).

60.5%

Creators

30,244 accounts

18.3%

Consumers

9,161 accounts

21.2%

Dormant

10,595 accounts

206

Verified Followers

0.41% of total

0.2%

Professional Bios

founder, dev, analyst, etc.

0.17

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):

日本 (1,485) Japan (327) 日本 東京 (254) 東京 (212) 東京都 (111) 北海道 (111) 大阪 (109) Tokyo-to, Japan (87) 日本 大阪 (69) 愛知県 (67)

380

Verified Followers

0.38% of total

17,105

Protected Accounts

16.94% 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
@hikakin 6,505,859 YouTuber YouTube, SNS, Collaboration
@enako_cos 2,046,825 Cosplayer 田村ゆかり, FPS, 音ゲー
@TO_yumemarucas 1,156,777 YouTuber 東海オンエア, ゆめまる, こんにちは
@ui_shig 972,015 Illustrator anime, illustration, virtual
@Fuwa_Minato 880,835 Virtual Host virtual host, Nijisanji, art escort
@mayuzumi_X 811,081 Vtuber Vtuber, Nijisanji, HoloLive
@Nyairin_518 802,129 Influencer TikTok, Instagram, Producing
@333akina 801,677 Virtual YouTuber Virtual reality, Nijisanji, Art
@unkochan1234567 766,701 Unknown N/A
@H_KAGAMI2434 746,826 Virtual YouTuber Virtual reality, Industrial, Mentorship

Top Keywords in Follower Bios

vtuber (2,211) apex (1,277) youtube (858) dm (727) twitter (543) fgo (523) rt (452) id (442) abemas (434) p (392)

Top Hashtags in Follower Bios

#mリーク (280) #麻雀 (256) #雀魂 (240) #ハ (161) #ホ (157) #フ (115) #apex (92) #ト (68) #原神 (64) #渋谷abemas (56)

69,130

Followers With Bio

31,865

Followers Without Bio

68.45%

% With Bio

31.55%

% 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 3,243 analyzed

188,996

Combined Engagement

0

Total Likes

188,996

Total Retweets

37,799

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

80%

With Hashtags

100%

With @Mentions

60%

With Links

Topical Analysis:

Mahjong Youtube Content Creation Sports Events Personal Achievements Community Engagement
多井隆晴🦅(おおいたかはる)
@takaharu_ooi

RT @MahjongSoul_JP: 【#雀魂4周年 記念RTキャンペーン】 サービス開始4周年! 雀士の皆様に感謝の気持ちを込めて、 当アカウントをフォロー&本ツイートをRTしてくれた方の中から抽選で、 各種公式グッズ等をプレゼントするにゃ! ▼参加方法 ①本アカウント…

2023-04-23
Retweets: 53,969 Likes: 0 Engagement: 53,969
多井隆晴🦅(おおいたかはる)
@takaharu_ooi

RT @MahjongSoul_JP: 【サービス開始3周年記念RTキャンペーン】 「雀魂-じゃんたま-」サービス開始3周年! 当アカウントをフォロー&本ツイートをRTしてくれた方の中から抽選で、 各種公式グッズ等をプレゼント! 期間:5月7日(土)23:59まで #雀魂 #…

2022-04-24
Retweets: 38,986 Likes: 0 Engagement: 38,986
多井隆晴🦅(おおいたかはる)
@takaharu_ooi

RT @Gwelu_os_gar: #にじさんじ五十音順に描いたら童田明治の時には画力上がってる説 検証完了です。 1人目:愛園愛美 106人目:童田明治 検証時間165時間 証拠:https://t.co/m7K9Pc67XS 【検証結果】 にじさんじ五十音順に描いた…

2022-06-20
Retweets: 37,433 Likes: 0 Engagement: 37,433
多井隆晴🦅(おおいたかはる)
@takaharu_ooi

RT @unkochan1234567: す、すごい https://t.co/nnmGYJDpja

2022-12-25
Retweets: 32,800 Likes: 0 Engagement: 32,800
多井隆晴🦅(おおいたかはる)
@takaharu_ooi

RT @ShibuyaHAL: VTuber最協決定戦Season4総合結果 #V最協S4 https://t.co/j9wjndK17G

2022-04-17
Retweets: 25,808 Likes: 0 Engagement: 25,808

Key Insights & Takeaways

He frequently shares personal achievements and reflections on his performance in mahjong competitions. He engages with his audience by mentioning events and interactions, which helps build a sense of community. He uses humor and emojis to make his content more relatable and engaging.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 179,180
  • + 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 @takaharu_ooi reveals an well-established Twitter presence with 179,180 followers. The account demonstrates a content-creator strategy, averaging 691.8 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