Superify

Inspiration

Creating a seamless voice-first productivity workflow that connects AI assistance with development tools like Cursor, eliminating friction between idea capture and code execution.

What it does

A Telegram bot that serves as an intelligent business assistant, converting voice memos into actionable tasks, automatically updating projects, and generating copy-pasteable Cursor prompts from natural language input.

How we built it

Built using a Telegram bot interface connected to a Next.js web app, leveraging Whisper v3 Turbo (Groq) for speech-to-text, Llama 3.1 8B (Groq) for suggestion generation, and Claude 3.7 Sonnet (Anthropic) for intelligent chat responses.

Challenges we ran into

Implementing seamless voice-to-prompt conversion and finding the optimal UX for copy-pasteable Cursor prompts within Telegram's interface limitations.

Accomplishments that I'm proud of

Successfully created an end-to-end voice workflow that automatically interprets spoken ideas and translates them into structured development prompts and project updates.

What I learned

Voice interfaces can dramatically reduce friction in developer workflows when properly integrated with existing tools - why not leverage the interfaces we already use daily instead of building new ones?

What's next for Superify

Integrating GitHub to provide project structure context for better prompt generation, expanding capabilities for other development tools, and implementing proactive assistance based on development patterns.

Built With

• anthropic-sonnet-37
• cursor
• google-gemini-flash-20
• node.js
• supabase
• telegram
• typescript
• vercel-ai-sdk