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PodcastsRank #549
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Data Science at Home

Francesco Gadaleta
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TechnologyPodcastsNewsTech NewsENunited-states
4.2 / 5
Cutting through AI bullsh*t.Come join the discussion on Discord! https://discord.gg/4UNKGf3
Top 1.1% by pitch volume (Rank #549 of 50,000)Data updated Feb 10, 2026

Key Facts

Publishes
N/A
Episodes
292
Founded
N/A
Category
Technology
Number of listeners
Private
Hidden on public pages

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Public snapshot
Audience: 4K–8K / month
Canonical: https://podpitch.com/podcasts/data-science-at-home
Reply rate: 10–20%

Latest Episodes

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AGI: The Dream We Should Never Reach (Ep. 296)

Sat Jan 10 2026

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Also on YouTube   Two AI experts who actually love the technology explain why chasing AGI might be the worst thing for AI's future—and why the current hype cycle could kill the field we're trying to save. Want to dive deeper? Head to datascienceathome.com for detailed show notes, code examples, and exclusive deep-dives into the papers we discuss.   Subscribe to our newsletter for weekly breakdowns of cutting-edge research delivered straight to your inbox—no fluff, just science! 📧 Join the conversation! Our Discord community is full of ML engineers, researchers, and AI enthusiasts discussing papers, sharing projects, and helping each other level up. Whether you're debugging your first neural net or training your tenth transformer, there's a place for you. Link in the show notes! 💬 Newsletter https://datascienceathome.substack.com/subscribe Website https://datascienceathome.com     References CEO is obsolete AI is the new blockchain Dr Eliseo Ferrante NYU https://nyuad.nyu.edu/en/academics/divisions/science/faculty/eliseo-ferrante.html

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Also on YouTube   Two AI experts who actually love the technology explain why chasing AGI might be the worst thing for AI's future—and why the current hype cycle could kill the field we're trying to save. Want to dive deeper? Head to datascienceathome.com for detailed show notes, code examples, and exclusive deep-dives into the papers we discuss.   Subscribe to our newsletter for weekly breakdowns of cutting-edge research delivered straight to your inbox—no fluff, just science! 📧 Join the conversation! Our Discord community is full of ML engineers, researchers, and AI enthusiasts discussing papers, sharing projects, and helping each other level up. Whether you're debugging your first neural net or training your tenth transformer, there's a place for you. Link in the show notes! 💬 Newsletter https://datascienceathome.substack.com/subscribe Website https://datascienceathome.com     References CEO is obsolete AI is the new blockchain Dr Eliseo Ferrante NYU https://nyuad.nyu.edu/en/academics/divisions/science/faculty/eliseo-ferrante.html

Key Metrics

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Pitches sent
110
From PodPitch users
Rank
#549
Top 1.1% by pitch volume (Rank #549 of 50,000)
Average rating
4.2
Ratings count may be unavailable
Reviews
17
Written reviews (when available)
Publish cadence
N/A
Episode count
292
Data updated
Feb 10, 2026
Social followers
4.4K

Public Snapshot

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TechnologyPodcastsNewsTech News
Country
United States
Language
English
Language (ISO)
Release cadence
N/A
Latest episode date
Sat Jan 10 2026

Audience & Outreach (Public)

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Audience range
4K–8K / month
Public band
Reply rate band
10–20%
Public band
Response time band
30+ days
Public band
Replies received
21–50
Public band

Public ranges are rounded for privacy. Unlock the full report for exact values.

Presence & Signals

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Social followers
4.4K
Contact available
Yes
Masked on public pages
Sponsors detected
Private
Hidden on public pages
Guest format
Private
Hidden on public pages

Social links

No public profiles listed.

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Audience & Growth
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Monthly listeners49,360
Reply rate18.2%
Avg response4.1 days
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Contact preview
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Sponsor signals
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Sponsor mentionsLikely
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Reviews

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4.2 / 5
RatingsN/A
Written reviews17

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Frequently Asked Questions About Data Science at Home

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What is Data Science at Home about?

Cutting through AI bullsh*t.Come join the discussion on Discord! https://discord.gg/4UNKGf3

How often does Data Science at Home publish new episodes?

Data Science at Home publishes on a variable schedule.

How many listeners does Data Science at Home get?

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