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⭐9.2M influencer listings 🏢101.2K sponsor listings 🌍125.3B combined audience reach 📊13 platforms indexed 🗺️130+ countries covered 🏷️10,000+ niches 🦋4.3M Bluesky creators 🎙️1.4M podcast creators 🟣1.3M Twitch creators 📈761.9K Pinterest creators 🥊331.7K Kick creators 293.1K YouTube creators 𝕏261.6K X creators 🐘259.7K Mastodon creators 🎵142K TikTok creators ✈️109.3K Telegram creators 🎮14.3K Discord creators 📈13.4K Substack creators 🎬4.6K Rumble creators 🧵3.8K Threads creators ⭐9.2M influencer listings 🏢101.2K sponsor listings 🌍125.3B combined audience reach 📊13 platforms indexed 🗺️130+ countries covered 🏷️10,000+ niches 🦋4.3M Bluesky creators 🎙️1.4M podcast creators 🟣1.3M Twitch creators 📈761.9K Pinterest creators 🥊331.7K Kick creators 293.1K YouTube creators 𝕏261.6K X creators 🐘259.7K Mastodon creators 🎵142K TikTok creators ✈️109.3K Telegram creators 🎮14.3K Discord creators 📈13.4K Substack creators 🎬4.6K Rumble creators 🧵3.8K Threads creators
ml4science
Followers
263
Account age
3 yrs
🎁 Free analysisfor ml4science

Known for

📊 Post engagement

Recent posts · likes + reposts
Sep 27latest
3
Avg engagement / post
2–4
Typical post (engagement)
1.1%
Engagement vs followers
69/100
Consistent reach
Nov 2022
On Mastodon since
Half of recent posts land between 2 and 4 likes + reposts (median 3) — a dependable floor a sponsored post can count on.

🔥 Top post: "No one looks at an object for more than three minutes. In those · 8 likes + reposts

📊 Activity & format

Posting cadence
0.16 / week
A lower-frequency account — each post lands with more weight.
Content mix
Mostly text
Recent: 7 text · 5 image · 0 video.
Follower / following
1.9×
Follows 142 back. A more reciprocal / networked account.
🔥 Top post "No one looks at an object for more than three minutes. In those three minutes, the message has to come across." Do you know what is important when making an #exhibition?And how do you transfer digital processes, like algorithms, into analog exhibits? We spoke to three students… ★ 8
This paper is the result of an international, interdisciplinary collaboration, including two members of our cluster, @bernhard and @jakhmack. A fantastic example of how machine learning accelerates scientific discovery! #MLforScience 2/2 Great work led by Maximilian Dax now out in @nature.com: Neural network deciphers gravitational waves from merging neutron stars in a second - new method could be instrumental in preparing the field for the next generation of observatories… ★ 3 Wie denken Menschen in Baden-Württemberg über das Thema KI, und was würden sie Politik und Forschung dazu gern mitteilen? Um das herauszufinden, hat die Universität Tübingen den Bürgerrat „KI und Freiheit“ auf den Weg gebracht. Mehr auf un… ★ 6 What do people in Baden-Württemberg think about AI and what would they like to tell politicians and researchers? The @unituebingen established the "AI and Freedom" citizens' council, run by @rhetai, to answer precisely these questions. Rea… ★ 1 Join us this Tuesday, March 26, at 3 pm for the kick-off event of our new talk and workshop series "Healthy Minds in Academia". It's such an important topic - a big thank you to the organizers Nina Effenberger and Janne Lappalainen for put… ★ 2 New on our blog: @bedartha wants to build a bridge between #climatescience and machinelearning. With his interdisciplinary group @MachineClimate he seeks to better understand the monsoons and the El Niño: https://machinelearningforscience.… Our member Philipp Hennig has received an #ERC Consolidator Grant 🎉🎉 🎉. With his ANUBIS project, he aims to manage the computing resources of scientific AI applications comprehensively and consistently. Find out more: https://uni-tuebingen… ★ 1 "Stadt, Land, KI. Wie Cyber Valley & Amazon Tübingen prägen": Heute Abend, 19 Uhr, spricht der Kulturwissenschaftler Tim Schaffarczik in der Tübinger Westspitze zu diesem Thema. Eine Veranstaltung des Kreisverbands Tübingen der Grünen: htt… Unser interaktives Exponat "IN-ML-OUT" zum Thema #KI und #Windenergie ist ab jetzt bis 14. Januar im Stadtmuseum Tübingen zu sehen. Kommt vorbei und probiert es aus! Immer samstags zw. 14 u. 17 Uhr sind Mitarbeitende von @rhetai bzw. unser… ★ 2 Looking forward to this talk by Daniel Durstewitz @DurstewitzLab in our Cluster Colloquium! Tomorrow, Thursday, 16 November, at 11 am here in Tübingen. Abstract and more information: https://uni-tuebingen.de/en/research/core-research/clus… ★ 4 Systeme mit künstlicher Intelligenz (KI) finden bereits vielerorts im Alltag Anwendung. Parallel arbeitet die #EU an einer #Verordnung zur #Regulierung von #KI, um möglichen Risiken für die Gesellschaft vorzubeugen. Diese will die Herstell…

🐘 Community & instance

Home server
scicomm.xyz
Their home server on the fediverse — the instance a creator picks signals the community they belong to.
On Mastodon since
Nov 2022
Joined in the Twitter-exodus wave of late 2022 — part of the migration that made Mastodon a real destination.

💡 Facts

🗓️Joined Mastodon in 2022 — 3 years ago.
👁️Averages 3 views per post.
📤Posts about 0.2× per week.

🕵️ Fake follower check

Estimated
43/100
Fair Credibility score
73%
Mixed Real audience
Medium Fake-follower risk
High Data confidence
  • Est. 73% real, active audience · Medium fake-follower risk.
  • Low engagement (~1.1% of followers engage each post) — a sign of an inflated or inactive audience.
  • Established account (3+ years old).

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

About

Cluster of Excellence Machine Learning: New Perspectives for Science at the University of Tübingen @unituebingen@bawü.social. Funded by DFG. Our Blog: machinelearningforscience.de

📸 Gallery

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How many followers does ml4science have?
ml4science has 263 followers on Mastodon.

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