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Launch HN: Magnitude (YC S25) – Self-optimizing inference engine for agents

194 points · 99 comments · anerli

  1. singh_abinashi · · focus · HN ↗
    Curious how the evals for this work on real agent workloads versus synthetic benchmarks. In my experience, agent cost and latency profiles change a lot once there's a tool-use loop involved, because the token distribution gets much burstier than a single prompt. Did you evaluate on multi-step tool-calling traces, or mostly single-turn?
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