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2.05M influencer listings 🏢32K sponsor listings 🌍52.7B combined audience reach 📊13 platforms indexed 🗺️130+ countries covered 🏷️10,000+ niches 🟣698.9K Twitch creators 🦋633.1K Bluesky creators 🎙️335.2K podcast creators 🐘141.6K Mastodon creators ▶️71.9K YouTube creators 🥊65.9K Kick creators ✈️47.4K Telegram creators 𝕏32.8K X creators 🎵16.1K TikTok creators 🎮5.2K Discord creators 🎬3.1K Rumble creators 🧵1.2K Threads creators 2.05M influencer listings 🏢32K sponsor listings 🌍52.7B combined audience reach 📊13 platforms indexed 🗺️130+ countries covered 🏷️10,000+ niches 🟣698.9K Twitch creators 🦋633.1K Bluesky creators 🎙️335.2K podcast creators 🐘141.6K Mastodon creators ▶️71.9K YouTube creators 🥊65.9K Kick creators ✈️47.4K Telegram creators 𝕏32.8K X creators 🎵16.1K TikTok creators 🎮5.2K Discord creators 🎬3.1K Rumble creators 🧵1.2K Threads creators
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pyOpenSci

pyOpenSci

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Followers
2.3K
Account age
2 yrs
🧰 Free analysis for pyOpenSci
🕵️ Fake follower check 📊 Engagement rate 💰 What they charge

📊 Activity & format

Follower / following
25×
Follows 89 back. A strong ratio — an audience that follows them, not a follow-for-follow network.

🦋 Handle & authenticity

✅ Domain-verified
@pyopensci.org
The handle is the domain pyopensci.org. On Bluesky a domain handle proves the owner controls that website — so this is verifiably the real pyopensci.org account, not an impersonator.
On Bluesky since
Oct 2023
An early adopter from the invite-only beta (before the Feb 2024 public launch) — an original, established account.

💡 Facts

🗓️Joined Bluesky in 2023 — 2 years ago.

🕵️ Fake follower check

Estimated
58/100
Fair Credibility score
89%
Real Real audience
Low Fake-follower risk
Medium Data confidence
  • Est. 89% real, active audience · Low fake-follower risk.
  • Limited engagement data — score uses the signals available.
  • Organic base — far more followers than accounts it follows.

Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.

About

We build diverse communities that support free and open Python tools for processing scientific data. We also build technical skills needed to contribute to open source and that support open science. Join our global community: https://linktr.ee/pyopensci

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