2.8M members. The best post we have captured here reached 1.3K upvotes, which works out to 0 per 1,000 members.
Open r/datascience on Reddit ↗
The mix of post types among everything we have captured. Posting a link where almost nothing but images lands is wasted effort, and this is the fastest way to see it.
Flairs are the community's own categories, and the closest thing a subreddit has to telling you what it wants.
The biggest posts we have captured here. Links go to the original on Reddit.
Me pacing in front of my screen while my model is training
After 5 years in data science, I’m starting to realize most “insights” we deliver are completely ignored. Is this normal?
An easy process to make sure your executive team understands the data
How widely is R still used in industry today?
Ghosting a candidate after a physical onsite is honestly extremely disrespectful
Why is it that stakeholders expect ML models to have 0% error rate?
Are all data science jobs just Gen AI now?
Weaponized phrases in Data science Teams
Easiest Python question got me rejected from FAANG
Laid off after 4.5 yrs at the company as Sr Data scientist. How is the job market ?
Within four times the member count either way, so the comparison is fair. Sorted by upside.
ViralHunt tracks Reddit and eight other networks, records how every post grows, and puts what is taking off in front of your team in one list.
Start free →Every figure here is what ViralHunt has captured from r/datascience, not everything the community has ever posted. We deliberately do not publish an average score: our sample is weighted toward a community's best posts, so an average would be flattering and wrong. Peak per 1,000 members is computed the same way for every community listed. See how we measure.