Jaime Gómez-Obregón

Jaime Gómez-Obregón

@JaimeObregon

ۗۗۗۗۗۗۗۗۗۗۗۗۗۗۗۗۗۗۗۗۗۗۗۗۗۗۗۗۗۗۗۗۗۗۗۗۗۗۗۗۗۗۗۗۗۗۗۗۗIngeniero hackeando para mejorar la Administración pública. Ayúdame a seguir 👉 https://www.patreon.com/jaime_gomez_obregon

https://es.wikipedia.org/wiki/Jaime_G%C3%B3mez-Obreg%C3%B3n Joined 2009-11-11 Date of Analysis: Dec 16, 2025

115,284

Followers

137

Following

18,852

Tweets

119.6

Avg Engagement

878

Listed

Yes

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @JaimeObregon'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:2009-11-11
  • Verification:Yes
  • Location:Not specified

Data Summary

  • Tweets Analyzed:3,206
  • Avg Likes per Tweet:81.6
  • Avg Retweets per Tweet:38.0
  • Followers Analyzed:10,000

Engagement Analysis

Based on 3,206 tweets

His tweets receive a high number of likes and retweets, indicating strong public interest in his critiques and proposals. The engagement suggests a receptive audience for his calls to action and investigative findings.

81.6

Avg Likes/Tweet

38.0

Avg Retweets/Tweet

261,675

Total Likes

121,848

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

6

Median Likes

5

Median Retweets

81

75th Percentile

17,934

Top Tweet

1.04

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

7.1%

Original

65.8%

Replies

20.0%

Retweets

7.1%

Quotes

0.0%

Threads

0.1%

With Media

61.8%

With Links

6.4%

With #Tags

65.0%

With @Mentions

44.9%

With Emojis

210

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

9.3

Reply/Original Ratio

0.35

Quote/RT Ratio

Posting Rhythm

Somewhat Bursty

Occasional posting spikes

76.0%

Weekday Posts

24.0%

Weekend Posts

Top Hashtags

#t3chfest2023 (28) #transparencia (25) #datos (20) #tarugo22 (13) #guregipuzkoa (10) #cit2022 (7) #corrupción (6) #liberadlosdatos (6) #datosabiertos (5) #cantabria (4)

Most Mentioned

@jaimeobregon (457) @cantabriaes (62) @hayderecho (54) @t3chfest (42) @boegob (24) @safiracantos (23) @cotransparencia (22) @asierurkizu (21) @dgtes (21) @jesusfase2 (21)

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Content Strategy Analysis

Based on 3,206 tweets

Content Type Distribution

Content Breakdown

Original Tweets 227 (7%)
Replies 2,110 (66%)
Retweets 642 (20%)
Quote Tweets 227 (7%)

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 642 retweets (20% 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 3,206 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 10,000 followers

His audience includes public sector professionals, tech enthusiasts, and citizens interested in government transparency. They are likely looking for insights into digital governance and public policy.

Good

Audience Quality

16.2%

Suspicion Index

23.5%

Low-Quality %

85

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

39.2%

Empty Bio

12.4%

<10 Tweets

9.4%

Mass Following (>2K)

0.0%

New (<90 days)

31.1%

Low Ratio (<0.1)

0.0%

New (<180 days)

81.6%

No URL

7.9%

<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.

8,445,599

Total Potential Reach

85

Median Follower Reach

295

75th Percentile Reach

9.8%

>1K followers

1.2%

>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).

72.4%

Creators

7,244 accounts

15.2%

Consumers

1,519 accounts

12.4%

Dormant

1,237 accounts

79

Verified Followers

0.79% of total

8.7%

Professional Bios

founder, dev, analyst, etc.

0.21

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):

Madrid (278) España (212) Madrid, Comunidad de Madrid (201) Barcelona (120) Spain (119) Madrid, Spain (60) Madrid, España (55) Barcelona, España (45) Valencia (39) Sevilla (39)

79

Verified Followers

0.79% of total

946

Protected Accounts

9.46% 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
@Alvaro845 883,113 YouTuber Mobile gaming, TeamQuesoGG, Business
@followersyacom 490,255 Social Media Manager Social Media, Marketing, Descuento
@Frasespeliculas 225,263 Cinephile Cine, Series, Frases
@rafaeljehv 118,862 Software Engineer Software Engineering, Venezuela, United States
@Pilar__HA 106,859 Mamá Mamá, abuela, Cantante frustrada
@itineratur 105,670 Travel Blogger Art, Architecture, Archaeology, Animals
@Broniusnomad 96,714 Travel Blogger Travel, Adventure, Photography
@SrFortfast 95,929 Comedian Email, botellonada, humor
@GuachireM 77,681 Periodista Data journalism, Political analysis, Communication consulting
@AECID_es 71,843 Development Cooperation, Development, Spanish Policy

Top Keywords in Follower Bios

vida (185) ingeniero (139) developer (124) engineer (121) mundo (120) software (117) cosas (112) siempre (109) aqui (98) digital (95)

Top Hashtags in Follower Bios

#bitcoin (30) #seo (10) #yoconpodemos (10) #ia (9) #ai (8) #yonovoto (7) #digital (7) #btc (7) #python (6) #ciberseguridad (6)

6,083

Followers With Bio

3,917

Followers Without Bio

60.83%

% With Bio

39.17%

% 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 3,206 analyzed

45,995

Combined Engagement

26,502

Total Likes

19,493

Total Retweets

9,199

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

20%

With @Mentions

40%

With Links

Topical Analysis:

Public Administration Digital Governance Transparency Hacking Public Policy Corruption
Jaime Gómez-Obregón
@JaimeObregon

😱 TINDER: ¿CÓMO SERÍA SI LO HICIESE EL ESTADO? Es otra de esas ideas que se me ocurren en la ducha tras _días_ frustrado porque un trámite de la Administración electrónica está mal diseñado o no funciona. ¡El Tinder del Ministerio! 😱 🧵👇 Así sería…

2023-01-10
Retweets: 6,022 Likes: 11,912 Engagement: 17,934
Jaime Gómez-Obregón
@JaimeObregon

RT @JaimeObregon: 🤖 ¡Hola! ¿Sacamos la pasta que se llevan los diarios españoles de los organismos públicos? 💸 Venga, ¡vamos a sacarlo! Empiezo por LA RAZÓN. 👇 https://t.co/VAn6os6Nml

2023-01-13
Retweets: 7,800 Likes: 0 Engagement: 7,800
Jaime Gómez-Obregón
@JaimeObregon

En febrero encontré un agujero en un portal público. Por él pude acceder a los DNI, domicilios y teléfonos no publicados de cientos de autónomos. Avisé inmediatamente al organismo responsable. Once meses después el agujero sigue ahí. Hoy me envían esta noticia… 👇🤷‍♂️ https://t.

2023-01-02
Retweets: 2,090 Likes: 5,275 Engagement: 7,365
Jaime Gómez-Obregón
@JaimeObregon

DILAPIDACIÓN de dinero público SPAIN TOUR 2023 💥 ¡Nos vamos de gira nacional para ver cómo se tira el dinero de todos en plataformas digitales que no valen para nada y ya están muertas! Es parte de mi estudio sobre políticos que quieren «competir con Amazon». ¡Adéntrense! 👇 ht

2023-02-15
Retweets: 2,512 Likes: 4,851 Engagement: 7,363
Jaime Gómez-Obregón
@JaimeObregon

🔴 Tengo indicios de que puede haber algo en marcha para tratar de desactivarme e impedir mi trabajo. Puede ser un ataque procedente del submundo de la política. Invenciones para atacarme y cancelarme. ¡No pienso cejar! Estemos atentos para contestar como corresponde. 💪🏼

2023-03-01
Retweets: 1,069 Likes: 4,464 Engagement: 5,533

Key Insights & Takeaways

He uses personal experiences to highlight systemic issues in public administration His content often blends technical knowledge with social critique He encourages public participation and awareness in digital governance issues

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 115,284
  • + 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 @JaimeObregon reveals an well-established Twitter presence with 115,284 followers. The account demonstrates a conversation-first approach, averaging 119.6 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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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