Medo e Delírio iOS

Medo e Delírio em Brasília is a Brazilian political podcast by Pedro Daltro and Cristiano Botafogo. It chronicles the tumultuous and chaotic political landscape in Brasil since 2019 using its own unique twist, interleaving sound snippets and memes with serious narration and considered commentary.

This app is the perfect companion for the podcast, letting you share those snippets in your WhatsApp group chats and social media, while also having easy access to all podcast episodes.

Available for iPhone, iPad and Mac (iOS 26.0+ & M1 or later).

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Preview

Top Features

1. Play and Share Sounds: Enjoy snippets from the podcast and share them instantly with friends. Favorite sounds and songs follow you across your devices through iCloud.
2. Listen to Episodes: Educate yourself and keep tabs with Brasil through the integrated audio player, episode feed, episode favoriting, moment bookmarking, and listening progress, finished and favorite episodes that follow you across your devices through iCloud.
3. Find the Quote: Search the full transcripts of all episodes to revisit arguments, verify claims, or check if a topic was ever covered.
4. React with Ease: Find perfect responses for group chats in the Reactions tab, featuring sounds categorized by emotions, famous characters, and current events.
5. Jump to Topics That Interest You: With auto-generated chapters, jump around in an episode's length to listen to the topics that interest you the most.
6. Share Meaningful Episode Moments: Create shareable videoclips of an interesting episode moment that is easy to post on social media or WhatsApp, so friends and followers can enjoy it too.
7. Discover Trends: Explore the audience's top 10 most-shared sounds and songs across various timeframes in the Trends screen.
8. Folders for Organization: Group sounds into folders for easy access—just like tagging!
9. Social Media Sharing: Create and share videos from vírgulas (the podcast's sound bites) for your socials, perfect for meme-worthy replies.
10. Fast, Private Content Delivery: Enjoy fast updates and total privacy with our custom-built content delivery system designed entirely in Swift.

History

Curious about the story behind the app and how some of its features came to life? Check out the two-part series on my blog.

Getting Started

System Requirements

To build and run this project, you'll need:

• A Mac running macOS 15.6 Sequoia or later;
• Xcode 26.0 or later;
• iOS 26.0+ simulators installed (Xcode 26.0 comes with iOS 26.0, so you'll be fine).

If you've got a Mac with the software above, clone the repo, open the project's .xcodeproj file, and you're ready to go. Xcode will handle all dependencies.

Reactions and Trends

To fully test and play with the Reactions and Trends screens, clone and run the medo-delirio-api Vapor project locally.

Episode Transcripts and Chapters

If you're looking to fully reproduce this project end to end, be aware that these two Episodes features depend on more than just the app binary and a server.

Episode Transcripts are generated locally on this developer's Mac using whisper.cpp. The model of choice is ggml-large-v3-turbo.

Episode Chapters require an Anthropic API account, key and credits. The model used is Opus 5.

For more details on how this workflow operates, refer to scripts/README.md.

Android version

Check out Sidronio Lima's Android app.

App support

For support needs, please send an e-mail to our support address.

About this repo

Rafael C. Schmitt – @[email protected]

Distributed under the MIT license. See LICENSE for more information.

GitHub's About section numbers breakdown

Aka the little text description of this repo on the top right (web).

• Star review numbers come from App Store Connect, filtering by All Countries and Regions.
• Total number of downloads and monthly active users are anonymously and independently collected by the app, with no third-party involvement.
• The total download count includes redownloads.
• A monthly active user is a user who opens the app at least once in a given month.
• The number of MAU shown is an average of the last 3 full months.