docs: update project description and acknowledgments in README files
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@@ -59,7 +59,7 @@
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[](#container-registries)
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[](#ai-inference-providers)
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Xget is an ultra-high-performance, secure, all-in-one acceleration engine for
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An ultra-high-performance, secure, all-in-one acceleration engine for
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developer resources. It significantly outperforms traditional solutions and
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provides unified, efficient acceleration for code hosting, model and dataset
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hubs, package registries, container registries, AI inference providers, and
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@@ -71,14 +71,15 @@ Technical deep dive:
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Xget was invited to join the
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[GitCode platform](https://gitcode.com/xixu-me/xget) and recognized as a G-Star
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graduation project. It has also received spontaneous recommendations from
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several well-known tech creators, including
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graduation project. As "a widely used public project", it is also supported by
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OpenAI's
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[Codex for Open Source](https://developers.openai.com/community/codex-for-oss).
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The project has additionally been featured or recommended by creators and
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communities such as
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[Ruan Yifeng](https://www.ruanyifeng.com/blog/2025/12/weekly-issue-379.html#:~:text=Xget),
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[GitHubDaily](https://x.com/i/status/1956204203937829256),
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[FishC](https://www.bilibili.com/video/BV1EeeBzVEop/), and
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[Xuanli 199](https://www.bilibili.com/video/BV197hqzsE8Y/?t=8). Sincere thanks
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to GitCode and every creator, reader, and user who helped more people discover
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Xget.
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[Xuanli 199](https://www.bilibili.com/video/BV197hqzsE8Y/?t=8).
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## 🎯 Quick Start
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