EnglishJoined July 2023 (2 years on Bluesky)
Followers
4.6K
Growth (7d)
-
Following
624
Posts
93~0.1/day
Influence
8
Follower growth
Not enough history yet - growth is tracked from first discovery.
Bio
Blog: https://sander.ai/ 🐦: https://x.com/sedielem Research Scientist at Google DeepMind (WaveNet, Imagen 3, Veo, ...). I tweet about deep learning (research + software), music, generative models (personal account).
Notable followers
The biggest accounts in our directory following @sedielem.bsky.social.
More Tech accounts
Olivier Poncet 🦝
@ponceto91.bsky.social
4.6K
followers
Sophie🏳️⚧️🛰️ Core Protector out NOW!
@tarasophie.dev
4.6K
followers
Marketingino.com Magazine | The Playbook for Modern Leaders
@marketingino.com
4.6K
followers
Prince Wilson
@maxcell.bsky.social
4.6K
followers
Fromsoft Hoarder
@fromsofthoarder.bsky.social
4.6K
followers
Patricia S Paton 🏴🇧🇷
@patispaton.com
4.6K
followers
Sophie Bushwick
@sophiebushwick.bsky.social
4.6K
followers
Jeferson Fernando
@badtux.linuxtips.io
4.6K
followers
Sander Dieleman on Bluesky - frequently asked questions
- How many followers does Sander Dieleman have on Bluesky?
- Sander Dieleman (@sedielem.bsky.social) currently has 4,587 followers on Bluesky. The count is refreshed continuously from the public AT Protocol.
- When did Sander Dieleman join Bluesky?
- Sander Dieleman joined Bluesky in July 2023, making the account about 2 years old.
- How many posts has Sander Dieleman published?
- Sander Dieleman has published 93 posts on Bluesky, averaging about 0.1 posts per day over the account's lifetime.
- Is Sander Dieleman verified on Bluesky?
- @sedielem.bsky.social does not currently show a Bluesky verification. Many real accounts on Bluesky are unverified, since verification is still rolling out.
- What does Sander Dieleman post about?
- Sander Dieleman is classified under Tech in our directory. Bio: "Blog: https://sander.ai/ 🐦: https://x.com/sedielem Research Scientist at Google DeepMind (WaveNet, Imagen 3, Veo, ...). I tweet about deep learning (research + software), music, generative models (pe".