Follower Analytics Report
Founder at #ozzo_events: host better virtual business-social events. Passionate about #futureofwork Also tweet about crypto, ethereum & social media
Fake Follower Audit
Every follower checked for signs of a fake or bot account, with the reasons.
4.1% of followers look fake and 11.5% are suspicious. No sign of a recent burst: the newest 1,000 followers are flagged at a similar rate to older ones (18.8% vs 14.2%).
Our scale: low is under 5% likely fake, high is 15% or more.
Why accounts were flagged
-
No bio81%
-
Follows many, followed by few61%
-
Little or no posting48%
-
No profile photo33%
-
Auto-generated username20%
-
No followers4%
Share of the 530 flagged accounts (suspicious or likely fake).
When flagged followers arrived
Followers are listed newest first. A spike among recent followers often means bought followers.
| Followers | Flagged | |
|---|---|---|
| Newest 100 | 100 |
20.0%
|
| 101 to 1,000 | 900 |
18.7%
|
| 1,001 to 10,000 | 2,400 |
14.2%
|
Accounts most likely to be fake
Each follower is scored from profile signals and our model. A flag is a reason to look closer, not proof that an account is fake.
Executive Summary
The follower base of @Leo_Glisic consists of a highly engaged audience where 95.4% are active posters and 84.4% are identified as genuine profiles, resulting in a solid lead potential score of 68 out of 100. The demographic is heavily concentrated in the tech and finance sectors, with top keywords including crypto, web, and founder among a professional cohort primarily composed of engineers, founders, and investors. While only 25.9% of followers include website links, the high concentration of verified accounts at 21.9% and specific interests in AI and Web3 suggests a high-value niche audience for targeted outreach. Strategic engagement should focus on these professional segments despite the low percentage of open DMs, as the presence of contact information in several profiles provides clear pathways for conversion.
At a Glance
Summary metrics computed from all 3,400 follower profiles in the downloaded data for @Leo_Glisic.
Lead Generation & Outreach
Reachability metrics from profile data (bios, URLs, DM settings) enriched with contact info from our 1.1B profile database.
The audience presents a moderate lead potential of 68 out of 100 due to high engagement levels where 95.4% of followers are active posters. While only 25.9% possess website links and fewer than 2% have open DMs, the high activity rate suggests these followers are highly engaged and reachable through interactive content. You should prioritize targeting the 879 users with established web presences to maximize conversion for partnerships or direct outreach.
Potential
Reachability
Computed from bio URLs and posting activity in the follower data.
Contact Channels
Emails, phone numbers, and DM settings sourced from our database of 1.1B profiles. 2,534 of 3,400 followers were matched.
Cross-Platform Presence
Social links found in follower bios and our database records.
Where They Link
Domains extracted from website URLs in follower profiles.
Audience Profile & Interests
Interests and professions classified from follower bios. Geographic data from self-reported locations. Keywords, hashtags, and mentions extracted from bio text.
The audience consists of a highly professional demographic primarily composed of founders, engineers, and investors concentrated in the United States who are deeply engaged with crypto, Web3, and AI technologies. With 73.3% of followers possessing bios and nearly half showing specific interests in tech and design, this segment represents a high-value target for B2B outreach or partnerships within the blockchain ecosystem. You should treat this audience as a sophisticated technical community where content regarding infrastructure building and startup growth will resonate most effectively.
Audience Interests
Derived from 1,578 bios (46.4% of 3,400 followers)
Profession / Industry
Identified from 1,578 profiles with classifiable bios
Geographic Distribution
Based on self-reported locations in follower profiles. 42.5% of 3,400 followers gave a location we could resolve to a place.
What They Talk About
Top keywords extracted from follower bios. Larger words appear more frequently across profiles.
Popular Hashtags
Hashtags in follower bios showing community affiliations
Mentioned Accounts
Accounts frequently referenced in follower bios
Network Composition
Follower size, engagement ratios, and activity levels computed from each account's public profile metrics.
You should prioritize high-quality engagement over mass reach because 75.3% of the followers are consumers while 78.4% fall into the Nano influence tier, suggesting a highly niche and loyal community rather than a broad public audience. Partnerships should target the professional core of engineers and founders within the Crypto and AI sectors to maximize impact among the high-activity segment that drives meaningful industry conversation.
Influence Tiers
Followers grouped by their own follower count (Nano: under 1K, Micro: 1K-10K, Mid: 10K-100K, Macro: 100K+).
Account Type Distribution
Classified by follower-to-following ratio. Influencers have high ratios, mass followers have low ratios.
Activity Level
Tweet count distribution. Median: 632 tweets. 4.6% have never tweeted.
Influencer Types
Classification based on our database of 1.1B profiles
@Leo_Glisic Across twtData
News mentions pulled from our article database. Related tools for deeper analysis.
Explore More
Notable Followers
Top 10 accounts ranked by followers, tweet count, and list appearances from the CSV data.
The presence of high-profile figures like Vitalik Buterin and Andre Cronje indicates an audience deeply rooted in core blockchain infrastructure and decentralized finance. With over 21% of followers verified and a significant concentration of accounts exceeding 10k followers, this demographic offers high authority for targeted outreach or partnership initiatives.
| Account | Followers | Tweets |
|---|---|---|
| @VitalikButerin | 5,908,706 | 21,615 |
| @tobi | 450,551 | 8,341 |
| @AndreCronjeTech | 438,656 | 136 |
| @HerbertRSim | 373,096 | 34,179 |
| @imTokenOfficial | 286,861 | 5,685 |
| @DegenSpartan | 271,905 | 966 |
| @whiterabbitb0t | 257,845 | 86,583 |
| @juanblanco76 | 252,804 | 225,778 |
| @robtswthrayguns | 238,449 | 101,286 |
| @ether_fi | 197,407 | 6,656 |
| Account | Tweets | Followers |
|---|---|---|
| @BillMoore20 | 441,775 | 152,377 |
| @gohsuket | 296,268 | 2,963 |
| @DanielleFong | 283,086 | 60,925 |
| @antiprosynth | 248,691 | 82,722 |
| @MonchitoPelu | 245,387 | 3,067 |
| @juanblanco76 | 225,778 | 252,804 |
| @PawlowskiMario | 216,659 | 100,668 |
| @Ricardo__Cabral | 204,984 | 65 |
| @SanUvacha | 195,345 | 9,773 |
| @mvollmer1 | 193,762 | 93,385 |
| Account | Listed | Followers |
|---|---|---|
| @VitalikButerin | 39,788 | 5,908,706 |
| @AndreCronjeTech | 5,647 | 438,656 |
| @DegenSpartan | 5,081 | 271,905 |
| @tobi | 4,334 | 450,551 |
| @juanblanco76 | 3,974 | 252,804 |
| @SmallCapScience | 3,788 | 111,887 |
| @peteskomoroch | 2,587 | 50,974 |
| @Cryptoyieldinfo | 2,281 | 112,684 |
| @IamCryptoWolf | 1,678 | 112,925 |
| @lex_node | 1,603 | 77,008 |
Key Takeaways
8 data-driven insights automatically generated from the metrics above.
Top industries among @Leo_Glisic's followers: "Crypto & Web3", "AI & ML", "Business & Startups". Based on 1,567 of 1,578 classified bios.
12 followers (0.5%) have an email address in their bio, a direct outreach channel.
Followers also active on: Instagram (3). Multi-platform users tend to be higher-value leads.
Lead potential score of 68/100. 25.9% have a website link and 95.4% are active posters.
Top bio keywords: "crypto", "web", "building", revealing what @Leo_Glisic's audience talks about.
21.9% verified is well above average, signaling engaged, invested users.
United States is the top location among @Leo_Glisic's followers.
78.4% are nano-influencers (<1K followers), but 149 accounts have 10K+ followers.
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