A curated, community-driven list of geek podcasts across multiple languages and topics.
Awesome Geek Podcasts is a curated, open-source directory of podcasts for developers, engineers, and technology enthusiasts. It organizes hundreds of podcasts by language and topic, making it easier to discover shows about programming, open source, cybersecurity, science, and geek culture. The project solves the problem of fragmented podcast discovery by providing a centralized, community-maintained resource.
Developers, sysadmins, DevOps engineers, data scientists, and tech enthusiasts who listen to podcasts for learning, news, and entertainment. It's especially useful for non-native English speakers seeking content in their own language.
Developers choose this because it's a comprehensive, trusted, and constantly updated list vetted by the community. Unlike generic podcast apps, it focuses specifically on geek and tech content, offers multi-language support, and is free and open-source.
A curated list of podcasts we like to listen to.
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
As an open-source 'awesome list,' it allows global contributions, ensuring diverse and updated entries across tech topics and languages, as seen in the active GitHub repository.
Organizes podcasts by language, including English, Portuguese, Spanish, French, and over 10 others, making it accessible to non-native English speakers—a rare feature in tech podcast directories.
Categories like software development, DevOps, and cybersecurity with brief descriptions for each podcast help users quickly find relevant content without sifting through generic lists.
Includes a dedicated section for podcast players and apps across platforms, such as Pocket Casts and AntennaPod, providing practical advice beyond just content discovery.
Relies entirely on volunteer contributions via GitHub pull requests, leading to potential delays in adding new podcasts or removing defunct shows, with no automated refresh mechanism.
Lacks advanced features like keyword search, ratings, or sorting options; users must manually browse Markdown files, which can be cumbersome for large categories.
As a community project, some entries may have outdated descriptions or missing links, and certain niche topics or languages might have sparse coverage compared to mainstream ones.