Guilherme Rambo
I know a thing or two about AirPods. App developer, writer, speaker, tinkerer. @airbuddyapp @gigahertz @stacktracepod 🏳️🌈 https://mastodon.social/@_inside
61,476
Followers
1,654
Following
15,704
Tweets
148.7
Avg Engagement
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @_inside'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:2007-08-20
- Verification:No
- Location:Florianópolis, Brazil
Data Summary
- Tweets Analyzed:3,164
- Avg Likes per Tweet:57.0
- Avg Retweets per Tweet:91.7
- Followers Analyzed:9,992
Engagement Analysis
Based on 3,164 tweetsTheir tweets typically receive an average of 2,916 likes and 380 retweets, indicating a highly engaged audience. The content is well-received and often shared, especially around Apple events and tech-related topics.
57.0
Avg Likes/Tweet
91.7
Avg Retweets/Tweet
180,381
Total Likes
290,257
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
4
Median Likes
0
Median Retweets
63
75th Percentile
82,196
Top Tweet
2.42
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
21.3%
Original
57.8%
Replies
16.5%
Retweets
4.4%
Quotes
0.0%
Threads
0.5%
With Media
39.9%
With Links
9.3%
With #Tags
72.2%
With @Mentions
21.0%
With Emojis
123
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.71
Reply/Original Ratio
0.26
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
90.7%
Weekday Posts
9.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,164 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 523 retweets (17% 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 3,164 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 9,992 followersThe audience primarily consists of tech enthusiasts, Apple users, and developers interested in app development and product updates. They are likely looking for tips, tricks, and commentary on Apple's latest releases.
Average
Audience Quality
24.5%
Suspicion Index
24.0%
Low-Quality %
51
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
32.2%
Empty Bio
24.7%
<10 Tweets
17.3%
Mass Following (>2K)
0.0%
New (<90 days)
53.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
73.3%
No URL
15.9%
<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.
Try Bot DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
9,564,449
Total Potential Reach
51
Median Follower Reach
216
75th Percentile Reach
6.6%
>1K followers
1.0%
>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).
53.2%
Creators
5,314 accounts
22.1%
Consumers
2,206 accounts
24.7%
Dormant
2,472 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):
235
Verified Followers
2.35% of total
1,257
Protected Accounts
12.57% of total
7 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 |
|---|---|---|---|
| @BRUNOIERULLO | 923,776 | Fashion Designer | Fashion, Design, Documentary |
| @9to5mac | 884,235 | Tech News | Apple, news, gear |
| @anildash | 566,580 | Tech influencer | technology, advocacy, community |
| @Scobleizer | 464,064 | Music Producer | Music, Metaverse, Dolby Atmos |
| @garotasemfio | 313,676 | Consultora | tecnologia móvel, odontogeriatria, biotecnologia |
| @Thinknoodles | 300,783 | YouTuber | Gaming, Pets, Food |
| @TimSweeneyEpic | 229,489 | Game Developer | Architecture, Astronaut, Technology |
| @TechAcuteCom | 100,070 | Tech News | Tech, News, Discord |
| @ShellyKramer | 97,521 | Analyst | tech, coffee, futureOfWork |
| @vincentlaforet | 93,806 | Filmmaker | Filmmaking, Photography, Authorship |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,782
Followers With Bio
3,218
Followers Without Bio
67.82%
% With Bio
32.18%
% 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 3,164 analyzed181,967
Combined Engagement
0
Total Likes
181,967
Total Retweets
36,393
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @justinbieber: i love arm
RT @weird_hist: Same place, same memory, 58 years later. https://t.co/5Gv7694v0o
RT @stevekrenzel: With Twitter's change in ownership last week, I'm probably in the clear to talk about the most unethical thing I was asked to build while working at Twitter. 🧵
RT @alvorecezar: Minha história com programação no celular (e somente no celular) https://t.co/DqiNMQCG20
RT @NicoIate: the first nft https://t.co/aNWoyuVCsp
Key Insights & Takeaways
They often highlight humorous and practical tips related to iOS updates and Apple products. Their content frequently includes commentary on Apple events and Easter eggs. They engage with their audience by encouraging interaction and sharing personal experiences.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 61,476
- + 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 @_inside reveals an well-established Twitter presence with 61,476 followers. The account demonstrates a conversation-first approach, averaging 148.7 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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