Extract Bilibili to Markdown for AI
A practical workflow for turning Bilibili videos, descriptions, subtitles, and comments into clean Markdown for AI analysis.
22 articles
A practical workflow for turning Bilibili videos, descriptions, subtitles, and comments into clean Markdown for AI analysis.
Claude is better for auditable synthesis. Kimi is strong for Chinese discovery. Web2MD makes both better by giving them clean source Markdown.
A practical workflow for turning curated web pages, government documents, and industry reports into clean Markdown sources for NotebookLM.
A practical guide to saving Perplexity search results and research threads as clean Markdown with citations, token counts, and one-click AI handoff.
A practical workflow for turning Reddit threads, old.reddit pages, and Reddit search results into clean Markdown corpora for ChatGPT, Claude, and SEO research.
Perplexity Pro cannot run your private search index, but you can build a practical curated-source workflow with clean Markdown.
Cursor's bigger context window works best when you feed it clean Markdown research packs, not messy copied web pages.
Use Jina Reader for public URLs and automation. Use Web2MD when you need the exact page in your browser as clean Markdown.
NotebookLM URL import breaks on Reddit, X, and paywalls. Here is a cleaner workflow using Markdown sources instead of fragile URLs.
A practical workflow for turning 100+ web articles into clean Markdown files you can upload to Claude without copy-paste chaos.
GPT-5.5 can browse the web, but Web2MD still wins when you need exact Markdown from pages your browser can see.
Most arXiv-to-Claude guides need a Skill, MCP, or Python. This one doesn't. Clean LaTeX-preserving paper summaries in Claude.ai with one click.
Prompt caching is the biggest cost lever for repeated-context AI in 2026. Most devs skip it. Those who use it save 70-85% per session past the first turn.
When a Reddit thread is the source you want Claude to read like a paper — full reply tree, scores, stance mapping. A workflow for researchers, not scrapers.
Wikipedia is the canonical first-source for AI research, but its HTML is heavy with cite-numbers, navboxes, and edit links. Extract clean Markdown for Claude.
YouTube transcripts are the richest audio knowledge on the open web — and the worst-formatted for LLMs. The pipeline that turns a 90-min talk into clean Markdown.
DeepSeek R2 is the cheapest Chinese reasoning model. The bottleneck is feeding it clean text from Xiaohongshu, WeChat, Zhihu, Bilibili. The pipeline.
GPT-5.5's browse tool is genuinely good for many research tasks. It is also bounded in specific ways that matter. The honest comparison after months of using both.
Claude Opus 4.7's 1M context holds ~500 Reddit threads. The bottleneck isn't 'will Claude read this' — it's how to get 500 threads into one paste.
Reddit is the largest source of real human opinion on niche topics. Feeding it to ChatGPT, Claude, or NotebookLM needs clean text. The 2026 workflow.
Claude Opus 4.7 has a 1M token context — roughly 200 long articles. The bottleneck isn't the model; it's how to get 200 articles into one prompt.
The top Chrome extensions that supercharge AI research workflows. From Markdown conversion to AI-powered search — tools that help you research faster and smarter.