团队在难以解释的 AI 使用上花得越来越多；@Mentlio（YC S26）上线
@Mentlio 把 AI coding 支出量化为每个 PR 的成本、复用和下游质量，并用 cache 命中、减少 context 膨胀和自动路由降低浪费。其称本地路由器在 Terminal-Bench 2.1 上保留 Fable 5 98.93% 的准确率，同时将 Claude Code 成本降低 24.9%。
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Your team is spending more on AI than you can explain. Today, we’re launching @Mentlio (YC S26). We turn AI coding spend into a measurable unit: cost per PR, reuse, and downstream quality, benchmarked against industry. We also cut waste without touching your prompts, via cache hits, less context bloat, and auto-routing. On Terminal-Bench 2.1, our local router kept 98.93% of Fable 5's accuracy at 24.9% lower cost on Claude Code. If you’re spending real money on tokens, see your real AI ROI: http://mentlio.com/intro
Your team is spending more on AI than you can explain. Today, we’re launching @Mentlio (YC S26). We turn AI coding spend into a measurable unit: cost per PR, reuse, and downstream quality, benchmarked against industry. We also cut waste without touching your prompts, via cache hits, less context bloat, and auto-routing. On Terminal-Bench 2.1, our local router kept 98.93% of Fable 5's accuracy at 24.9% lower cost on Claude Code. If you’re spending real money on tokens, see your real AI ROI: http://mentlio.com/intro
Your team is spending more on AI than you can explain. Today, we’re launching @Mentlio (YC S26). We turn AI coding spend into a measurable unit: cost per PR, reuse, and downstream quality, benchmarked against industry. We also cut waste without touching your prompts, via cache hits, less context bloat, and auto-routing. On Terminal-Bench 2.1, our local router kept 98.93% of Fable 5's accuracy at 24.9% lower cost on Claude Code. If you’re spending real money on tokens, see your real AI ROI: http://mentlio.com/intro
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