DevLand Diaries: Inside The Open Source Revolution

DevLand Diaries: Inside The Open Source Revolution

Hosted by Michael Kessler · DevLandAI

4.3from 11 ratings

Books guestsus

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68Podcast AuthorityScore out of 100 · How it is scored
52
Episodes
11
Ratings
Weekly
Cadence
2025
First episode
1B
YouTube views

About DevLand Diaries: Inside The Open Source Revolution

AI isn’t just for Silicon Valley elites—it’s for everyone. Tune in as we discuss how DevLand AI democratizes AI development through open-source tools, low-2-no code solutions, and a global community. Each episode features ethical AI debates and behind-the-scenes stories of building tools that empower millions. Ready to join a global movement? Hit subscribe—your humanity will thank you.

Publisher
DevLandAI
Category
business
Language
en
Explicit
No
First episode
3 Feb 2025
Latest episode
12 Dec 2025

Latest episodes

52 episodes in the feed.

  1. 12 Dec 2025

    AI REGULATION: A NON-NEGOTIABLE

  2. 5 Dec 2025

    AI Safety - “The One Percent”

  3. 27 Aug 2025

    Vibe Coding: DevLand Diaries

Reach and audience

Public platform figures. Ratings count people who left a rating, not total listeners.

YouTube views
1,112,724,692
Score snapshot 15 Sept 2025
Apple Podcasts (US)
5.0 / 5
2 ratings
Spotify
4.1 / 5
9 ratings

Podcast Authority Score: 68 / 100

A composite of feed quality, social presence, YouTube performance and engagement. Read the methodology.

Quality
86
Social presence
0
YouTube
93
Engagement
31

Contact DevLand Diaries: Inside The Open Source Revolution

Guest appearances
Books guests

Based on episode analysis; this does not confirm that the show is currently accepting guests.

Questions about DevLand Diaries: Inside The Open Source Revolution

Who hosts DevLand Diaries: Inside The Open Source Revolution?

Michael Kessler host the show. Published by DevLandAI.

How often do new episodes come out?

The show publishes weekly, based on its RSS feed.

Does DevLand Diaries: Inside The Open Source Revolution take guests?

Yes. Guests have been identified in episode analyses.

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