Show HN: Echo – Fable-level results at 1/3 the cost using open-weight models

Category: ai-ml

Tags: ai, model-combination, open-weight, cost-optimization, llm

Score: 7.3/10 (Innovation: 8, Technical: 7, Documentation: 6, Utility: 7)

Echo is an AI system that dynamically combines multiple open-weight models per request to achieve high-quality results at lower inference cost. It uses adaptive computation allocation and model selection, outperforming individual models and matching stronger systems at a fraction of the cost. This approach is notable for its potential to make advanced AI more accessible and efficient.

Target audience: AI researchers, backend developers, machine learning engineers

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