Hack Day

Hack Day

@hackdayjp

Yahoo! JAPANのものづくり系アカウント。プログラミング・デザイン・工作の話題など。#つくるってたのしいね を合言葉に、クリエイターのみなさんと一緒に毎年イベント開催しています!/ハッカソンは日本最大級らしいです/中の人もクリエイター

東京 千代田区 https://hackday.yahoo.co.jp/ Joined 2015-06-26 Date of Analysis: Dec 16, 2025

10,149

Followers

797

Following

7,889

Tweets

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @hackdayjp'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:2015-06-26
  • Verification:No
  • Location:東京 千代田区

Data Summary

  • Followers Analyzed:10,205

Want This Report as PDF?

We're building PDF export for these analytics reports. Register your interest to get early access.

Register Interest

Audience Demographics

Based on 10,205 followers

The primary audience includes programmers, designers, and makers interested in creative projects. The content is likely appealing to tech-savvy individuals and hobbyists.

Good

Audience Quality

17.4%

Suspicion Index

12.0%

Low-Quality %

253

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

19.8%

Empty Bio

7.0%

<10 Tweets

33.0%

Mass Following (>2K)

0.0%

New (<90 days)

26.3%

Low Ratio (<0.1)

0.0%

New (<180 days)

70.2%

No URL

4.1%

<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 Detector

Follower Reach & Influence

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

29,488,805

Total Potential Reach

253

Median Follower Reach

740

75th Percentile Reach

19.3%

>1K followers

3.6%

>10K followers

1.1%

>50K followers

0.5%

>100K followers

Creator vs Consumer Split

Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).

82.0%

Creators

8,371 accounts

10.9%

Consumers

1,115 accounts

7.0%

Dormant

719 accounts

278

Verified Followers

2.72% of total

3.9%

Professional Bios

founder, dev, analyst, etc.

0.24

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 (349) Japan (135) 東京 (125) 日本 東京 (121) Tokyo (117) 東京都 (85) Tokyo-to, Japan (62) tokyo (30) 大阪 (30) Tokyo, Japan (29)

278

Verified Followers

2.72% of total

1,397

Protected Accounts

13.69% of total

8 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
@GekidanHitori 1,180,189 Comedian Comedy, Acting, Entertainment
@hottomotto_com 855,012 Restaurant Food, Winter, Customer Service
@eigacom 828,606 Movie Blogger Movies, News, Fun facts
@biccameraE 815,290 Retailer shopping, deals, promotions
@donki_donki 706,026 Retail shopping, bargains, impulse buying
@ochyai 556,706 Media Artist HCI, Fab, XR
@bamiyan_CP 442,266 Restaurant food, restaurant, family
@hanamaru_udon 413,156 Restaurant udon, delicious, quality
@takaratomytoys 387,702 Toys -
@UQinfo 353,154 Telecommunications -

Top Keywords in Follower Bios

web (173) twitter (143) dm (118) engineer (116) love (92) youtube (82) rt (82) python (65) japan (63) software (50)

Top Hashtags in Follower Bios

#フ (32) #ハ (28) #テ (20) #ヒ (20) #python (15) #ホ (15) #ケ (14) #ク (11) #ト (9) #公式ミニ四駆部 (9)

8,189

Followers With Bio

2,016

Followers Without Bio

80.24%

% With Bio

19.76%

% 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.

Buy Follower Data

Export full follower list with profile details, bios, locations, and follower counts as CSV.

Buy Followers - from $15

Buy Tweet Data

Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.

Buy Tweets - from $15

Key Insights & Takeaways

The account is focused on fostering creativity and collaboration among makers. It leverages events and hashtags to build community and visibility. Low engagement may indicate a need for more interactive or promotional content.

Strengths

  • + Established follower base of 10,149
  • + 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 @hackdayjp reveals an growing Twitter presence with 10,149 followers. The account demonstrates a content-creator strategy, averaging 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.

Need Programmatic Access?

We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.

Register Interest for API Access

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