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Make a deal with Towards Data Science
🔒 Paid proposals held safely in escrow — released only when the work's approved.
Followers
2K
Account age
1 yrs
💰 Suggested sponsorship rate
$40 – $65 / sponsored post
Estimated from audience size & typical reach — every deal is negotiable and held in SocialDB escrow.
🎁 Free analysisfor Towards Data Science
📊 Post engagement
1
Avg engagement / post
0.1%
Engagement vs followers
Feb 2025
On Mastodon since
🔥 Top post: From statistical mechanics and kinetic theory to a C++ implement · 2 likes + reposts
📊 Activity & format
Posting cadence
33.2 / week
Toots daily — consistently active for a campaign window.
Content mix
Mostly text
Recent: 11 text · 1 image · 0 video.
Follower / following
63×
Follows 31 back. A strong ratio — an audience that follows them, not a follow-for-follow network.
Recent posts
View on Mastodon ↗
In the second part of his top-notch series on solving pickup-and-delivery problems, Luis Fernando Pérez Armas explores the potential of adaptive large neighborhood search (ALNS). https://towardsdatascience.com/los-movimientos-part-ii-solvi…
We're thrilled to welcome Rahul Saha to TDS — don't miss his comprehensive guide to avoiding entity key drift in data lakes. https://towardsdatascience.com/avoiding-entity-key-drift-in-a-data-lake-step-1-normalization/
Not sure what model context protocols are, or whether you should incorporate them into your agentic workflows? Maria Mouschoutzi provides an accessible primer covering custom integrations, tool access, and more. https://towardsdatascience.…
"You may be able to get away with it, as it provides a sensible default, but in the long run, especially when encountering a non-stationary or difficult optimization landscape, you will fail. Hard."
Sam Black explains why you shouldn't tre…
Interested in gaining a deeper understanding of how backpropagation works?
Nikhil Dasari continues to explore the inner workings of this foundational algorithm in part 2 of his series on the topic. https://towardsdatascience.com/backpropa…
When's the last time you spared a moment to think about the "humble" mean?
Sachin Date presents a meticulously researched and mathematically robust history of (arguably?) the most useful of all statistical concepts. https://towardsdatasci…
If you're ready to take your Claude Code game to the next level, read Eivind Kjosbakken's latest tutorial on how to prompt the tool efficiently. https://towardsdatascience.com/how-to-efficiently-prompt-claude-code/
Giving your LLM agent browser access can really open up new possibilities for your AI workflows. Shuai Guo outlines the process you should follow to do it effectively. https://towardsdatascience.com/giving-an-llm-agent-a-browser/
Will you be at the 3rd International Conference on AI Sensors and Transducers next week in South Korea?
https://sciforum.net/event/AIS2026?section=#registration
What should you do when your RAM use gets too expensive? Oleg Tereshin
proposes an approach that leans into vector-search optimization. https://towardsdatascience.com/optimizing-vector-search-on-disk-vs-in-memory-ann-indexes-when-ram-gets-…
"Many people repeat claims about BM25, dense retrieval, and SPLADE, but far fewer have run all three themselves on real benchmark data and checked whether their results match published scores."
Abdullahi Dattijo has — and shares practical …
Will you be at the 3rd International Conference on AI Sensors and Transducers next week in South Korea?
https://sciforum.net/event/AIS2026?section=#registration
What should you do when your RAM use gets too expensive? Oleg Tereshin
proposes an approach that leans into vector-search optimization. https://towardsdatascience.com/optimizing-vector-search-on-disk-vs-in-memory-ann-indexes-when-ram-gets-…
"Many people repeat claims about BM25, dense retrieval, and SPLADE, but far fewer have run all three themselves on real benchmark data and checked whether their results match published scores."
Abdullahi Dattijo has — and shares practical …
🐘 Community & instance
Home server
hachyderm.io
A tech & engineering server — its members and audience skew toward that niche, so expect a community-aligned, engaged following.
On Mastodon since
Feb 2025
An established account with real history on the platform.
💡 Facts
🗓️Joined Mastodon in 2025 — 1 year ago.
👁️Averages 1 views per post.
📤Posts about 33.2× per week.
🕵️ Fake follower check
Estimated38/100
Low
Credibility score
68%
Mixed
Real audience
Medium
Fake-follower risk
High
Data confidence
- Est. 68% real, active audience · Medium fake-follower risk.
- Low engagement (~0.1% of followers engage each post) — a sign of an inflated or inactive audience.
Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.
About
Your home for data science & AI. The world's leading publication for data science and artificial intelligence professionals.
🔀 Audience overlap
EstimatedEstimated shared audience with similar creators — useful for avoiding overlap (or doubling down) when planning a campaign.
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