Personal Website of Sawana Huang

Product builder, web developer, and long-form note taker. This site is where I share my projects, technical writing, and ongoing experiments.

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Last 12 months

Featured Projects

Real Products

Featured Project

Kontext AI

Kontext AI screenshot

An AI image creation tool supporting text-to-image, image-to-image, and image editing. It combines a traditional tool-style interface with conversational workflows for more natural control.

NextJSTanstack QueryDrizzleShadcn/uiCloudflare R2ClerkStripe

Featured Project

SeeWhatNewAI

SeeWhatNewAI screenshot

An AI product discovery hub that aggregates and showcases new tools. The project explores edge-computing architecture for large-scale aggregation and optimization patterns aligned with SEO best practices.

NextJSDrizzleShadcn/uiCloudflare R2Cloudflare WorkersCloudflare QueuesClerkStripe

Featured Blogs

Writing & Docs

Python queue 包中作为底层结构的 deque 实现开始，到锁和线程安全

从 LeetCode 性能问题出发，深入探索 Python queue 与 deque 的关系，揭秘 queue.deque() 隐藏接口，剖析线程锁源码实现，全面理解线程安全概念。包含完整的 collections.deque 和 queue 模块方法参考。

Sep 21, 2025Sawana Huang

PythonDequeQueue

'跳'的思想：从 Python deque 到 Redis 跳表，再到 B+/Blink 树

从 Python deque、Redis 跳表到 MySQL/Blink 树，一起看懂'跳'的底层思想：源码级剖析+实战场景，理解底层实现。

Sep 20, 2025Sawana Huang

PythonDequeRedis

Streamdown 优化 AI 流式传输时使用客制化的 CodeBlock

Streamdown 简化了流失传输 AI 消息时渲染消息的过程，它比 react-markdown 更适合 AI 场景。同时它也把我带到了 AI-SDK 构建的 AI-Element -- 更适合 AI 原生的组件库。

Sep 22, 2025Sawana Huang

StreamdownAIReact

Machine Learning

复盘数学建模竞赛：构建基于GARCH+LSTM的基金推荐系统

记录一次将GARCH波动率预测与LSTM时间序列分析相结合，应用于基金与ETF绩效评估和推荐系统的实践。重点关注模型实现、训练细节与推荐逻辑。

Dec 07, 2025Sawana Huang

GARCHLSTMMachine Learning

Leetcode

记录我在写 LeetCode 的时候总结到的关键知识点以及几个典型题目，或者有收获的题目的知识。代码大多都是用 Python3 来写的。

Sep 16, 2025Sawana Huang

LeetCodeAlgorithmPython

Web DevelopmentDocs

Design Patterns

Next.js 框架下客户端和服务端设计模式的分析、讨论、实践与示例

Nov 22, 2025Sawana Huang

Design PatternsNext.jsTypeScript

01 Build

I turn ideas into working products and focus on practical execution over slideware.

02 Write

I publish clear technical notes and project breakdowns to document what works and why.

03 Share

I share progress in public and keep improving through iteration, feedback, and reflection.