PR pros: Want to try a powerful new tool to spot podcast trends before they hit headlines?

We’re giving away 5 of our €129/mo plan for free in exchange for feedback.

DM if you’re in - or tag a friend who should see this!
#PR #MediaMonitoring #Podcast #PublicRelations

🔍 Exciting updates to Audioscrape Search!
We've just shipped three major improvements to make podcast discovery even better:

1️⃣ Publication dates now visible with search results - know exactly when content was released!

2️⃣ Sort by date (newest first) or relevance - your choice

1.19EUR/TB feels like you can store the entire internet now.

@hetzner Object Storage is very inexpensive compared to AWS S3 or Azure Blob Storage.

You can mount the Object Storage (S3 API) as a folder in your cloud instance and store large amounts of data efficiently.

Just added a GitHub-style activity tracker for podcasters on Audioscrape.com

Fun fact: Most top podcasts publish nearly daily. The are just a few successful ones with an irregular posting schedule.

The activity tracker makes it easy to grasp.

thanksgiving for people from san francisco

Anyone used Rust to build a web app?

We use it for Audioscrape.com

It’s a search engine for podcast content allowing you to find everything that has been said on podcast shows.

It’s built using Rust, Axum, Askama and SQLite. Hosted on a $7 / month VM.

Really productive stack

Anyone interested in the following topics?

- Rust / Python
- AI/Machine Learning
- Audio transcriptions
- Speaker diarization
- Speaker detection
- Speaker embeddings
- Podcasts
- Startups
- Indiehacking

✨ New on Audioscrape: Intelligent Search Suggestions!

💡 Type less, discover more
🎯 Get instant topic suggestions
🎙️ Find specific podcasts faster
🤝 Community-driven suggestions

Search through hundreds of thousands of podcast moments on Audioscrape in seconds!

How to build a simple search engine for podcast content:

1. Find and download podcast information (title, description, episodes, audio files, etc)
2. Transcribe audio files to get spoken text
3. Detect speakers using ML
4. Create a search index
5. Build user interface

Example: audioscrape.com

Podcasts aren't about endless hours, hidden gems, or daunting info.

They're about quick insights, pinpointed moments, efficient learning, and community highlights.

'Find the wisdom, skip the weeds' is the mantra.

Meet audioscrape.com