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How to get on Snacks Weekly on Data Science

Hosted by Pan Wu.

Show website ↗ Listen on Apple ↗

Should you pitch it?

Guest activity
Sometimes has guests
40% of recent episode titles look like interviews
Episode length
10 min
Median of recent episodes. That is the commitment you would be asking for.
Publishing
Weekly+
161 episodes · last 2026-10-05
Language
Not stated
This feed declares no language.
Where it's from
Not established
No .uk domain and no region in the feed language. Apple reports the storefront, not the show, so we do not guess.
Reach
85
Percentile among shows you could realistically get on. Not a download count.
Check whether they charge. Some shows sell guest slots rather than booking them, and rates in some fields run to thousands. Nothing in a podcast feed reliably says so, so we do not claim either way. Ask before you write the pitch.
Worth a pitch. This show publishes its own contact, sits outside the national chart, is independently published, and its recent episodes show it books guests.

How this show compares to other other podcasts

Episodes are short by comparable standards, so a tight single angle will land better than a broad one.

Measured against every other podcast in the directory that has published in the last year.

This show Category average
Episodes featuring a guest 40% 17%
Episodes in the last 90 days 13 8
Typical episode length 10 min 33 min
Episodes published in total 161 103
Reach percentile 85 50

Reach is a percentile among shows you could realistically get booked on, built from chart history, longevity, activity and cadence. It is not a download figure. Nobody outside a show can see those.

What the show says about itself

This podcast is about making data science and machine learning knowledge accessible and less intimidating. Every week, I will handpick one selected industrial tech blog to break it down. We will discuss some key data science concepts and machine learning algorithms, and how they are applied in those real-world applications. Subscribe to the channel and enjoy Snacks Weekly on Data Science!

Recent episodes

Straight from the feed. The quickest way to judge whether your angle fits.

  1. Semantic Search for LinkedIn’s Hiring Assistant [LinkedIn]
  2. Measuring AI Infrastructure Impact with Causal Inference [Meta]
  3. Building Taxonomies from Unstructured Text Using LLMs [Microsoft]
  4. Building Semantic IDs for Product Understanding at Scale [Instacart]
  5. Agent-driven ML Exploration [Faire]
  6. Building food metadata with LLM juries [DoorDash]
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Create an account and draft one pitch, with the contact address, at no cost and with no card. You review it and send it yourself from your own inbox. This show publishes its own inbox, which is the strongest route there is. We never send on your behalf and never invent an address.

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Similar podcasts

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Every show A to Z

Common questions

Does Snacks Weekly on Data Science accept guests?

Sometimes has guests. Interviews appear alongside other formats. This is our reading of the show's recent episode titles, not a statement from the show itself.

How do I contact Snacks Weekly on Data Science?

Yes. Snacks Weekly on Data Science publishes a contact address in its own RSS feed, and it is the show's own inbox rather than a shared network desk. We hold it and release it to people on a plan. We never invent an address and never send a pitch on your behalf.

How often does Snacks Weekly on Data Science publish?

It publishes at least once a week. There are 161 episodes in the feed. Episodes run about 10 minutes.

Is Snacks Weekly on Data Science still active?

Yes. It has published within the last 90 days.