Clear Minds Hypnotherapy
Audio wellness app live on the App Store and Google Play with 100K+ Play downloads. As project lead I own its serverless Node.js and TypeScript API on AWS: 90+ Lambda functions across 24 domains, 20 DynamoDB tables, S3 presigned uploads, an SQS queue and 7 scheduled jobs.
Technologies Used:
About This Project
Clear Minds Hypnotherapy is an audio hypnotherapy and wellness app, live on the App Store and Google Play with 100K+ Play downloads. I lead the project at Algoace: I review pull requests, guide other developers and run the App Store and Play Store releases.
Backend:
- Serverless Node.js and TypeScript API on AWS Lambda and API Gateway: 90+ functions across 24 domains
- 20 DynamoDB tables with secondary indexes and streams, S3 presigned uploads, an SQS queue and 7 scheduled jobs
- Strict and audit Lambda authorizers, moved into their own stack
- Achievements, streaks and user levels, play-count aggregation with per-language most-streamed lists, and grouped push reminders through Firebase Cloud Messaging
- Jest tests for handlers, services and middleware (29 test files), plus API benchmarks with tinybench and autocannon
When the main CloudFormation stack reached 499 of the 500-resource limit, I compared nested and sibling stacks, then moved new routes to a separate stack attached to the same API. The app kept one base URL and the production tables were never at risk.
The benchmark report caught a bug that silently dropped user search results, and database calls that could run in parallel.
Mobile:
- 40+ screen TypeScript app on React Native 0.82 (New Architecture) with Zustand, offline downloads and 6-language support
- Google Chromecast casting and a reworked subscription paywall (RevenueCat in-app purchases and Shopify) with local-currency pricing
- Fixed slow API responses on Android release builds by switching to IPv4-preferred DNS with a stable OkHttp client
- Analytics and crash monitoring with Firebase, Crashlytics, Mixpanel and AppsFlyer