Adola cuts LLM input tokens by 70% through intelligent compression

Hacker News·1w·Jbunga

Jbunga built a tool that compresses prompts before sending them to language models, slashing token usage and API costs significantly. For indie makers and bootstrapped SaaS teams running on thin margins, this kind of efficiency gain directly impacts unit economics—especially at scale.