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

  1. Get $200 in Free Claude API Credits — Here’s the Exact Setup That Actually Works

    This blog post details how to obtain $200 in free AWS credits, which can then be used with the Claude API. The author, Nitin Gavhane, provides a step-by-step guide for users to claim these credits. The aim is to facilitate access to and experimentation with the Claude API. AI

    Get $200 in Free Claude API Credits — Here’s the Exact Setup That Actually Works

    IMPACT Provides a pathway for developers to access and experiment with the Claude API using promotional credits.

  2. Anthropic Academy: Which Free AI Courses Are Worth Taking for Indie Hackers in 2026?

    Anthropic launched Anthropic Academy, offering 17 free courses with completion certificates, accessible via Skilljar. The academy is divided into two paths: one for developers focusing on Claude Code and API integration, and another for non-technical founders covering effective interaction with Claude. While most courses are recommended, some advanced or enterprise-focused modules are suggested for skipping by indie hackers. AI

    IMPACT Provides accessible training resources for developers and founders to better utilize AI tools like Claude.

  3. Cut Your LLM Costs by 90% With Prompt Caching (And Why Most Developers Don't)

    Prompt caching, also known as prefix caching, can significantly reduce LLM operational costs by avoiding redundant processing of static prompt elements. This technique functions similarly to HTTP caching, where a hash of the prompt's initial, unchanging section is stored. Subsequent requests that match this prefix only incur costs for processing new tokens, potentially cutting expenses by up to 90%. However, developers often fail to achieve high cache hit rates because dynamic elements like timestamps, unordered lists, or user-specific data are incorrectly included in the static prefix, leading to cache invalidation. AI

    Cut Your LLM Costs by 90% With Prompt Caching (And Why Most Developers Don't)

    IMPACT Optimizing LLM prompt caching can drastically reduce operational expenses for AI applications by avoiding redundant computations on static content.

  4. Hot To Run LLMs Locally

    This series of guides provides comprehensive instructions for setting up and running large language models (LLMs) locally on Linux systems. It details hardware and software prerequisites, recommends using llama.cpp for its balance of performance and ease of use, and covers model selection, quantization, and API integration. The guides also include steps for setting up systemd services for 24/7 operation, monitoring performance, and optimizing for various hardware constraints. AI

    IMPACT Enables developers to run and experiment with LLMs locally, reducing reliance on cloud services and facilitating custom application development.