Towards Data Science

Mastodon @towardsdatascience@hachyderm.io

⚔ Compare ☆ Watch Own this channel?

🔄 Data last refreshed 12 hours ago

🤝

Make a deal with Towards Data Science

🔒 Paid proposals held safely in escrow — released only when the work's approved.

Followers

Account age

1 yrs

🧰 Free analysis for Towards Data Science

🕵️ Fake follower check 📊 Engagement rate 💰 What they charge

Known for

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

1 views 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

📊 Post engagement

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 ↗

🔥 Top post From statistical mechanics and kinetic theory to a C++ implementation and supercomputer scaling, Ferran Alia presents a comprehensive introduction to a fluid simulator he built that works without solving any fluid equations. https://towardsdatascience.com/the-fluid-simulator-tha… ★ 2

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… ★ 1 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/ ★ 1 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.… ★ 1 "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… ★ 1 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… ★ 1 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… ★ 1 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/ ★ 1 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/ ★ 1

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 ★ 1 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-… ★ 1 "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 … ★ 1

🐘 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.

🛡️ Audience credibility

38/100

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

Estimated

Estimated shared audience with similar creators — useful for avoiding overlap (or doubling down) when planning a campaign.

Phil Hawksworth 16%

Spelling Mistakes Cost Lives 16%

Alan Boyle 13%

Bernie 12%

Daniel S. Katz 12%

Chris John Riley :unverified: 11%

More like this

Chris John Riley :unverified: ✓

@chrisjohnriley@infosec.exchange

2K Followers

Mastodon

Daniel S. Katz ✓

@danielskatz@fediscience.org

2K Followers

Mastodon

Phil Hawksworth ✓

@philhawksworth@indieweb.social

2K Followers

Mastodon

Alan Boyle ✓

@alanboyle@mastodon.social

2K Followers

Mastodon

Spelling Mistakes Cost Lives

@spellingmistakescostlives@mastodon.ie

2K Followers

Towards Data Science

Make a deal with Towards Data Science

Known for

📊 Post engagement

📊 Activity & format

Recent posts

🐘 Community & instance

💡 Facts

🛡️ Audience credibility

About

🔀 Audience overlap

More like this

✉ Message Towards Data Science

🎤 Event / appearance with Towards Data Science