Eldad A. Fux
Founder, CEO and the creator of @Appwrite
30,018
Followers
293
Following
2,595
Tweets
12.1
Avg Engagement
67
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @eldadfux'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:2013-05-04
- Verification:Yes
- Location:Planet Earth 🌍
Data Summary
- Tweets Analyzed:500
- Avg Likes per Tweet:9.0
- Avg Retweets per Tweet:3.2
- Followers Analyzed:27,227
Engagement Analysis
Based on 500 tweetsHis tweets typically receive moderate engagement, with an average of 106 likes and 11 retweets. The content often includes links to projects and events, which may drive traffic and further interaction.
9.0
Avg Likes/Tweet
3.2
Avg Retweets/Tweet
4,481
Total Likes
1,587
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
0
Median Retweets
11
75th Percentile
336
Top Tweet
0.4
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
11.6%
Original
66.0%
Replies
14.0%
Retweets
8.4%
Quotes
0.0%
Threads
0.4%
With Media
39.6%
With Links
7.8%
With #Tags
76.8%
With @Mentions
33.2%
With Emojis
114
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
5.69
Reply/Original Ratio
0.6
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
86.6%
Weekday Posts
13.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 500 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 70 retweets (14% 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 500 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 27,227 followersHis audience primarily consists of developers and tech enthusiasts interested in open-source tools and backend solutions. They are likely engaged with his work and appreciate his transparency and community focus.
Good
Audience Quality
19.0%
Suspicion Index
16.5%
Low-Quality %
55
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
24.8%
Empty Bio
16.1%
<10 Tweets
15.4%
Mass Following (>2K)
0.0%
New (<90 days)
42.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
68.1%
No URL
8.1%
<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 DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
16,959,307
Total Potential Reach
55
Median Follower Reach
222
75th Percentile Reach
7.2%
>1K followers
0.7%
>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).
56.3%
Creators
15,323 accounts
27.6%
Consumers
7,528 accounts
16.1%
Dormant
4,376 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):
393
Verified Followers
1.44% of total
1,387
Protected Accounts
5.09% 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 |
|---|---|---|---|
| @lidangzzz | 837,130 | - | - |
| @Mike_IMC | 832,544 | Telecom Engineer | 5G, AI, IoT |
| @WarrenWhitlock | 479,157 | Entrepreneur | blockchain, AI, digitalmarketing |
| @Sairee | 380,387 | Entrepreneur | Women empowerment, Internet, Entrepreneurship |
| @EvanKirstel | 343,676 | Tech Influencer | Tech, B2B, Social media |
| @DThompsonDev | 257,385 | Software Developer | Software dev, DevEcosystems, Public Speaking |
| @jaltucher | 211,155 | Writer | writing, self-improvement, entrepreneurship |
| @HNMishra11 | 187,316 | Engineer | FIWWA, FIE, FIPHE |
| @kunalstwt | 172,266 | - | - |
| @SwissCognitive | 151,207 | AI Hub | AI, network, development |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
20,459
Followers With Bio
6,768
Followers Without Bio
75.14%
% With Bio
24.86%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 500 analyzed1,113
Combined Engagement
451
Total Likes
662
Total Retweets
223
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
60%
With @Mentions
40%
With Links
Topical Analysis:
RT @DThompsonDev: Who needs a Udemy course to help them reach that next level? Like, comment & retweet. I'll pick a few people & give them…
RT @appwrite: 🎁GIVEAWAY ANNOUNCEMENT 🎁 To celebrate our 30k GitHub Stars, we are giving away 30 x Amazon FireTV's! How to win? 👍Like & R…
From 14k stars at Jan 2022 📍 📏 📏 📏 📍to over 28k in Dec 2022 🏆 Thank you everyone! Your support for @appwrite has been mind blowing 🤯🙏 https://t.co/JFx5DMSlVy
Had the greatest time with the greatest team ❤️ #appwritecamp2 https://t.co/Vfy2wcvzne
Open source will win them all.
Key Insights & Takeaways
His top tweets often highlight significant project milestones and community support, which can drive engagement and visibility. He frequently shares personal and team-related content, which helps build a stronger connection with his audience. Emphasizing open-source and community-driven projects is a key theme in his tweets, aligning with his professional goals.
Strengths
- + Established follower base of 30,018
- + 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 @eldadfux reveals an growing Twitter presence with 30,018 followers. The account demonstrates a conversation-first approach, averaging 12.1 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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