Who wants to help build a crazy f'n app? Im already working on 2, but this one is even more exciting and intense IF you're into music or just like a challenge. This shit is way over my head. I'm not even sure its doable but ChatGPT and 'Santa' Clause say it definitely is and there is at least one other paid app implementing this idea. This won't be launched to public as stand-alone app, but will be integrated into a main web-app that is going live soon (screenshots attached) as a future upgrade and I'm willing to share profits from that app with someone who can work on THIS upgrade.
I want so bad to share the other 2 apps working on w/the weekly group here but I teach everyday from 2-5 PST! I haven't shown them to anyone except my son yet and I bet you guys would definitely find some BIG HOLES for me lol. Going to soft-launch the music web app soon, will post it Here FIRST, then fix a ton of shit. AND THEN (I am so looking fwd to this day) will post a "Looking for feeback" post in this hilarious SAAS /reddit thread that is like a Thanksgiving-fest if you get my drift. So close...could have used shipKit to save many days I'm quite sure!
Cheers,
-David
NEW APP ARCHITECTURE & DATA FLOWS
┌─────────────────────────────────────────────────────────┐
│ Frontend Layer │
│ - Next.js (React) UI │
│ - Auth: Supabase Auth / Auth0 │
│ - {REDACTED} + Canvas/WebAudio │
└─────────────┬───────────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────┐
│ Backend API Layer │
│ - Framework: FastAPI (Python) or Node.js/Express │
│ - Exposes endpoints: /upload, /process, /status │
│ - Dependencies: │
│ • FFmpeg (decode YT/audio, resample to WAV) │
│ • Celery/RQ workers (task enqueue) │
│ • Redis (task broker) │
│ - Storage: PostgreSQL (metadata, jobs, users) │
│ S3/GCS (audio + {REDACTED} + {REDACTED} ) │
└─────────────┬───────────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────┐
│ GPU Worker Layer (Core ML) │
│ - Hosted on: RunPod / AWS G5 / GCP L4 │
│ - Task Flow: │
│ 1. Receive job from Redis queue │
│ 2. Run {REDACTED} (separate {REDACTED} ) │
│ • Model: {REDACTED} │
│ • Dependency: PyTorch (GPU-accelerated) │
│ 3. Run MT3 / Onsets & Frames (transcription) │
│ • Dependency: TensorFlow or JAX │
│ • Output: {REDACTED} (JSON/ProtoBuf) │
│ 4. Run {REDACTED} Mapper │
│ • Custom Python module │
│ • Dependency: Music21 ({REDACTED} ), │
│ Num{REDACTED} ) │
│ 5. Save results → S3 + DB │
└─────────────┬───────────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────┐
│ Post-Processing Layer │
│ - Convert JSON/MIDI →{REDACTED} : │
│ • {REDACTED} │
│ - Store in DB + Blob store │
│ - Notify user via API/WebSocket │
└─────────────┬───────────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────┐
│ User Interaction Layer │
│ - Frontend fetches results │
│ - In-browser editor for corrections (React) │
│ - Playback via WebAudio (sync {REDACTED} ) │
│ - Export: {REDACTED} │
└─────────────────────────────────────────────────────────┘