ee12f7d6be48a64bdf17b5cb4a40b66e08d0275c
Re-architect the auto-scanner functionality to run as a background worker on the server, utilizing Firebase for storing Telegram settings. This change improves reliability and scalability by decoupling the scanning process from the client. Additionally, update the landing page copy to better reflect the enhanced features of the AI, such as adaptive learning and multi-timeframe analysis, and adjust gamification descriptions.
Run and deploy your AI Studio app
This contains everything you need to run your app locally.
View your app in AI Studio: https://ai.studio/apps/c922d781-23ec-403c-becd-e12f2237b1b0
Run Locally
Prerequisites: Node.js
- Install dependencies:
npm install - Set the
GEMINI_API_KEYin .env.local to your Gemini API key - Run the app:
npm run dev
Description
Languages
TypeScript
98.6%
CSS
1%
JavaScript
0.3%
