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Brief

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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. I burned my Anthropic org cap and waited 3 days. Then I built llmfleet.

    A developer built a tool called llmfleet after experiencing a three-day outage due to hitting Anthropic's API token limits. The tool acts as a pooled dispatcher for API calls, managing backpressure based on real-time rate limit headers rather than relying on default SDK retry mechanisms. llmfleet aims to prevent the frantic retry loops that can exacerbate rate limiting issues and provides sustained throughput by intelligently holding requests when token limits are approached. AI

    I burned my Anthropic org cap and waited 3 days. Then I built llmfleet.

    IMPACT Provides a solution for developers to better manage API rate limits, potentially improving efficiency and reducing downtime when using large language models.