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Berkeley Institute for Data Science (BIDS)
🔄 Data last refreshed 11 days ago
🤝
Make a deal with Berkeley Institute for Data Science (BIDS)
🔒 Paid proposals held safely in escrow — released only when the work's approved.
Followers
1.5K
Account age
2 yrs
💰 Suggested sponsorship rate
$40 – $65 / sponsored post
Estimated from audience size & typical reach — every deal is negotiable and held in SocialDB escrow.
🧰 Free analysis for Berkeley Institute for Data Science (BIDS)
Known for
📊 Post engagement
4
Avg engagement / post
0.3%
Engagement vs followers
Feb 2024
On Bluesky since
🔥 Top post: Another great #CulturalAnalytics talk with @nolauren.bsky.social · 7 likes + reposts
📊 Activity & format
Posting cadence
1.8 / week
A lower-frequency account — each post lands with more weight.
Content mix
Mostly images
Recent: 4 text · 8 image · 0 video.
Follower / following
6.7×
Follows 226 back. A strong ratio — an audience that follows them, not a follow-for-follow network.
Recent posts
View on Bluesky ↗🦋 Handle & authenticity
Bluesky handle
@ucbids.bsky.social
A default .bsky.social handle — genuine, but not domain-verified. Confirm identity before a high-value deal.
On Bluesky since
Feb 2024
Joined after Bluesky opened to the public — a settled account with a real history.
💡 Facts
🗓️Joined Bluesky in 2024 — 2 years ago.
👁️Averages 4 views per post.
📤Posts about 1.8× per week.
🕵️ Fake follower check
Estimated61/100
Fair
Credibility score
84%
Real
Real audience
Low
Fake-follower risk
High
Data confidence
- Est. 84% real, active audience · Low fake-follower risk.
- Engagement (~0.3% of followers engage each post) is around typical for Bluesky.
Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.
About
BIDS is a space for Open Scholarship, Open Source, and interdisciplinary collaboration on AI in science and society. It is part of the UC Berkeley College of Computing, Data Science, and Society.
https://bids.berkeley.edu/
📸 Gallery
🔀 Audience overlap
EstimatedEstimated shared audience with similar creators — useful for avoiding overlap (or doubling down) when planning a campaign.
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