Show HN: Audioscrape – From $7 Rust MVP to Podcast Intelligence Platform Seven months ago, I shared Audioscrape - a podcast exploration tool built entirely in Rust, running on a $7/month VM. Since then, we've transformed it into a full-fledged podcast intelligence platform, serving over 1,000 users, including PR teams, researchers, and marketers. What's New: Real-Time Monitoring: Track mentions across the top 100 U.S. podcasts, covering over 80% of U.S. listenership. Advanced Search: Filter by speaker, sentiment, timeframe, and topic using AI-powered search. Custom Alerts: Receive notifications for brand, competitor, or topic mentions. API Access: Integrate podcast monitoring data into your workflows. Transcription Accuracy: Achieved 92.2% accuracy across 20,000+ episodes. Technical Stack: Backend: Axum (async web framework) Database: SQLite with SQLx for type-safe queries Authentication: OAuth2 HTML Templating: Askama Async Runtime: Tokio Our commitment to Rust has enabled us to maintain low operational costs while scaling effectively. Try It Out: https://www.audioscrape.com Discussion Points: Has anyone else scaled a Rust-based MVP into a production platform? What strategies have you employed for efficient scaling and user acquisition? Looking forward to your insights and feedback! |