Follower Analytics Report
Founder at #ozzo_events: host better virtual business-social events. Passionate about #futureofwork Also tweet about crypto, ethereum & social media
Executive Summary
The follower base for @Leo_Glisic consists of a highly engaged audience where 95.4% are active posters and 21.9% hold verified status, resulting in a solid lead potential score of 68 out of 100. Analysis of bio keywords such as crypto, building, and founder reveals a professional demographic concentrated in the Crypto, Web3, and AI sectors with high concentrations of Engineers and Founders. While only 1.7% of followers have open DMs, the presence of website links for 25.9% of users and specific interest matches in business and startups suggests a high, value niche audience ripe for targeted B2B outreach.
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 25.9% possess website links, the conversion path is narrow as only 1.7% of matched profiles have open DMs or verified emails for direct outreach. You should prioritize targeting the 879 users with established web presences to maximize your reach despite the limited direct contact data.
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 Authenticity & Trust
Bot risk scored from account age, activity, and follower/following ratios. Verification status from X's API data.
The account maintains a stable and established follower base where 55.6% are likely genuine and over 64% of accounts have existed for more than five years. While only 21.9% of followers are verified, the high percentage of long, standing accounts suggests an authentic community rather than a recently inflated following. You should consider this audience as relatively stable for partnerships, though the low median follower count of 224 indicates a niche reach with some potential for inactive profiles.
Bot Risk Assessment
ML ModelScored using account age, tweet count, follower/following ratios, and bio completeness.
Likely Genuine: Real users with normal activity patterns, established accounts, and healthy engagement ratios.
Suspicious: Accounts showing some unusual signals like low activity relative to their age, or atypical follower/following ratios. Not necessarily bots, but worth a closer look.
Low Quality: Sparse, barely used profiles: typically no bio, few followers and little or no posting. Some are bots or bought followers, but many are abandoned or read-only accounts. Treat this as reach you will not reach, rather than proof of fraud.
Scores come from a machine learning model trained on profile signals only. It is deliberately tuned to catch more suspect accounts at the cost of flagging some real ones, so treat these bands as a screening aid rather than a verdict on any individual account.
2,657 non-verified accounts analyzed by ML model. 743 verified accounts were automatically classified as genuine.
We flagged 695 suspicious and 814 low quality accounts. These bands are scored from profile signals alone. Run them through our Advanced Bot Detector for a per-account verdict based on their actual posts and behaviour.
Authenticity Signals
The four profile traits most associated with bought or inactive followers. Lower is better on all of them.
This report measures who follows @Leo_Glisic. It does not measure engagement, the metric hardest to fake and the one brands check first. Add an Engagement Analysis to see real likes, replies and reposts per post, engagement rate against followers, and whether the engagement itself looks bought.
Account Age Distribution
Based on account creation dates from X's API.
Verification Breakdown
Verification tiers from X's verified status field.
Accounts with older creation dates and verified status are stronger indicators of authentic, engaged followers.
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 maintaining 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.
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. 45.7% of 3,400 followers have a location set.
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: "AI", "Ethereum", "Crypto" (based on 2,534 profiles matched in our database).
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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