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.<p>What's New:<p>Real-Time Monitoring: Track mentions across the top 100 U.S. podcasts, covering over 80% of U.S. listenership.<p>Advanced Search: Filter by speaker, sentiment, timeframe, and topic using AI-powered search.<p>Custom Alerts: Receive notifications for brand, competitor, or topic mentions.<p>API Access: Integrate podcast monitoring data into your workflows.<p>Transcription Accuracy: Achieved 92.2% accuracy across 20,000+ episodes.<p>Technical Stack:<p>Backend: Axum (async web framework)<p>Database: SQLite with SQLx for type-safe queries<p>Authentication: OAuth2<p>HTML Templating: Askama<p>Async Runtime: Tokio<p>Our commitment to Rust has enabled us to maintain low operational costs while scaling effectively.<p>Try It Out: <a href="https://www.audioscrape.com" rel="nofollow">https://www.audioscrape.com</a><p>Discussion Points:<p>Has anyone else scaled a Rust-based MVP into a production platform?<p>What strategies have you employed for efficient scaling and user acquisition?<p>Looking forward to your insights and feedback!