Laporan Analitik Pengikut
Founder at #ozzo_events: host better virtual business-social events. Passionate about #futureofwork Also tweet about crypto, ethereum & social media
Ringkasan Eksekutif
The follower base of @Leo_Glisic presents a highly engaged and professionally relevant audience, with 95.4% identified as active posters and a lead potential score of 58/100. Although only 35.0% of the 3,400 total followers are currently DM, able and none have open direct messages, the demographic profile is strongly aligned with high, value sectors, as evidenced by top bio keywords such as crypto, web, founder, and ethereum alongside interests in AI & ML and Business & Startups. The audience composition reflects a concentrated professional network where 21.9% are verified accounts and 55.6% are assessed as likely genuine, primarily located in San Francisco, CA with professions ranging from Engineer / Developer to Founder / CEO. While the absence of email addresses or phone numbers in bios limits immediate contact options, the high percentage of followers with website links (25.9%) and a strong database match rate of 74.5% suggest significant potential for targeted outreach through alternative channels.
Sekilas
Metrik ringkasan yang dihitung dari semua 3.400 profil pengikut dalam data yang diunduh untuk @Leo_Glisic.
Generasi Prospek & Jangkauan
Metrik keterjangkauan dari data profil (bio, URL, pengaturan DM) yang diperkaya dengan info kontak dari database 1,1 miliar profil kami.
With a lead potential score of 58/100 and 95.4% of users actively posting, @Leo_Glisic's audience presents moderate engagement opportunities despite only 35.0% (1,189 accounts) being DM, able. The presence of website links on 25.9% of profiles (879 accounts), predominantly utilizing linktr.ee, suggests a reliance on external traffic rather than direct email capture, as zero matched profiles currently display open emails or DMs. Partnerships should prioritize content collaboration over direct sales outreach given the lack of accessible contact information and the high volume of active but potentially unreachable followers.
Prospek
Keterjangkauan
Dihitung dari pengaturan DM, URL bio, dan aktivitas posting dalam data pengikut.
Saluran Kontak
Email, nomor telepon, dan pengaturan DM yang bersumber dari database 1,1 miliar profil kami. 2.534 dari 3.400 pengikut berhasil dicocokkan.
Kehadiran Lintas Platform
Tautan sosial yang ditemukan di bio pengikut dan catatan database kami.
Tautan Mereka
Domain yang diekstrak dari URL situs web di profil pengikut.
Keaslian & Kepercayaan Audiens
Risiko bot dinilai dari usia akun, aktivitas, dan rasio pengikut/mengikuti. Status verifikasi dari data API X.
While @Leo_Glisic's 3,400 followers show a strong historical foundation with 34.4% of accounts aged over a decade and only 1.3% under one year, the overall risk profile is mixed due to 30.4% being flagged as high risk and 14.0% appearing suspicious. The verified status covers just 21.9% of the audience (736 blue checks and 7 business accounts), suggesting that a significant portion of the follower base may be inflated or inactive despite the account's median age distribution favoring long, term stability. Partnerships should proceed with caution, requiring rigorous vetting to ensure the high, risk segment does not undermine campaign performance or brand reputation.
Penilaian Risiko Bot
ML ModelDinilai menggunakan usia akun, jumlah tweet, rasio pengikut/mengikuti, dan kelengkapan bio.
Kemungkinan Asli: Pengguna nyata dengan pola aktivitas normal, akun yang sudah mapan, dan rasio interaksi yang sehat.
Mencurigakan: Akun yang menunjukkan beberapa sinyal tidak biasa seperti aktivitas rendah relatif terhadap usianya, atau rasio pengikut/mengikuti yang atipikal. Belum tentu bot, tetapi perlu diperiksa lebih lanjut.
Risiko Tinggi: Akun dengan beberapa sinyal mirip bot seperti akun yang sangat baru tanpa postingan, atau ketidakseimbangan pengikut/mengikuti yang ekstrem. Mungkin termasuk akun tidak aktif atau spam.
2.657 akun non-terverifikasi dianalisis oleh model ML. 743 akun terverifikasi secara otomatis diklasifikasikan sebagai asli.
Kami menandai 475 mencurigakan dan 1.034 berisiko tinggi. Jalankan melalui Detektor Bot Lanjutan kami untuk mendapatkan penilaian AI per akun berdasarkan postingan dan perilaku aktual mereka.
Distribusi Usia Akun
Berdasarkan tanggal pembuatan akun dari API X.
Rincian Verifikasi
Tingkatan verifikasi dari field status terverifikasi X.
Akun dengan tanggal pembuatan lebih lama dan status terverifikasi merupakan indikator pengikut autentik dan aktif yang lebih kuat.
Profil & Minat Audiens
Minat dan profesi diklasifikasikan dari bio pengikut. Data geografis dari lokasi yang dilaporkan sendiri. Kata kunci, hashtag, dan mention diekstrak dari teks bio.
This highly concentrated audience of 3,400 followers consists primarily of engineers, founders, and investors based in San Francisco who are deeply engaged with crypto, Web3, and AI sectors. With 73.3% maintaining bios that explicitly highlight keywords like "founder" and "ethereum," this group represents a high, value target for B2B partnerships or product launches within the blockchain ecosystem. Their strong alignment with technology and startup interests suggests they are ideal prospects for outreach campaigns focused on early, stage funding, developer tools, or strategic collaborations in the Web3 space.
Minat Audiens
Diambil dari 1.578 bio (46,4% dari 3.400 pengikut)
Profesi / Industri
Diidentifikasi dari 1.578 profil dengan bio yang dapat diklasifikasikan
Distribusi Geografis
Berdasarkan lokasi yang dilaporkan sendiri di profil pengikut. 48,4% dari 3.400 pengikut memiliki lokasi yang ditetapkan.
Apa yang Mereka Bicarakan
Kata kunci teratas yang diekstrak dari bio pengikut. Kata yang lebih besar muncul lebih sering di seluruh profil.
Hashtag Populer
Hashtag di bio pengikut yang menunjukkan afiliasi komunitas
Akun yang Disebut
Akun yang sering direferensikan di bio pengikut
Komposisi Jaringan
Ukuran pengikut, rasio interaksi, dan tingkat aktivitas dihitung dari metrik profil publik setiap akun.
With 78.4% of followers falling into the Nano tier and 75.3% classified as Consumers, @Leo_Glisic's network prioritizes broad reach over concentrated influencer leverage, suggesting that partnership strategies should focus on mass, market messaging rather than elite co, branding. The audience's heavy concentration in Crypto, AI, and Engineering professions indicates high relevance for B2B tech solutions, yet the low average follower count per account (4,757) implies that engagement metrics will likely reflect authentic community interaction rather than viral amplification from macro, accounts. Evaluators should leverage this demographic to test product, market fit within the Web3 sector while managing expectations regarding rapid scalability through existing follower connections.
Tingkatan Pengaruh
Pengikut dikelompokkan berdasarkan jumlah pengikut mereka sendiri (Nano: di bawah 1K, Mikro: 1K-10K, Menengah: 10K-100K, Makro: 100K+).
Distribusi Tipe Akun
Diklasifikasikan berdasarkan rasio pengikut-terhadap-mengikuti. Influencer memiliki rasio tinggi, pengikut massal memiliki rasio rendah.
Tingkat Aktivitas
Distribusi jumlah tweet. Median: 632 tweet. 4,6% belum pernah men-tweet.
Tipe Influencer
Klasifikasi berdasarkan database 1,1 miliar profil kami
@Leo_Glisic di twtData
Sebutan berita dari database artikel kami. Alat terkait untuk analisis yang lebih mendalam.
Jelajahi Lebih Lanjut
Pengikut Terkenal
10 akun teratas diurutkan berdasarkan pengikut, jumlah tweet, dan penampilan di daftar dari data CSV.
Evaluating @Leo_Glisic's audience reveals a high, value network anchored by influential figures like Vitalik Buterin and Andre Cronje, whose combined reach of over 6.3 million followers signals significant potential for brand amplification within the crypto ecosystem. With nearly 22% of the total following verified and 149 accounts exceeding 10K followers across top tiers, this demographic offers a concentrated pool of industry leaders and early adopters ideal for strategic partnerships or targeted outreach. Leveraging these specific metrics allows you to prioritize engagement with verified power users who drive disproportionate influence compared to the broader follower base.
| Akun | 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 |
| Akun | 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 |
| Akun | 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 |
Kesimpulan Utama
6 wawasan berbasis data yang dibuat secara otomatis dari metrik di atas.
Top industries among @Leo_Glisic's followers: "AI", "Ethereum", "Crypto" (based on 2,534 profiles matched in our database).
Lead potential score of 58/100. 35.0% accept DMs, 25.9% have a website link.
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.
San Francisco, CA 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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