Benboerba620

Benboerba620 / pod2wiki

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把高质量播客和长文 RSS 自动转成 karpathy-claude-wiki 兼容的 source-summary 页面 / Turn high-signal podcasts and long-form RSS into karpathy-claude-wiki compatible source-summary pages. Part of the zero-code AI investment research toolkit.

ai-agent claude-code deepseek investment-research knowledge-management
12
2
100% credibility
Found Apr 28, 2026 at 12 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

pod2wiki automatically fetches podcasts and long-form RSS content from specified sources, transcribes audio, generates Chinese summaries with key insights, and archives them in a markdown wiki format.

How It Works

1
🔍 Discover pod2wiki

You stumble upon this helpful tool on GitHub that grabs your favorite podcasts and articles, turning them into neat summaries for your personal notes.

2
🛠️ Set it up easily

You follow a few simple steps or let an AI buddy install it right into your workspace, asking just for your notes folder and thinking helper choice.

3
✏️ Tailor it to your interests

You pick topics like AI trends or energy news, add channels from experts like Lex Fridman, and list key ideas you want to track.

4
▶️ Run a quick scan

You give it the go-ahead to check recent episodes and posts from the past week across your chosen sources.

5
📝 Watch summaries appear

Magic happens as it creates friendly Chinese overviews with key facts, quotes, and full English versions saved neatly.

📚 Build your insight library

Your personal notes wiki now overflows with fresh, organized knowledge, keeping you ahead on topics you care about without the hassle.

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Star Growth

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AI-Generated Review

What is pod2wiki?

pod2wiki is a Python tool that pulls high-signal podcasts from YouTube channels or RSS feeds, along with long-form articles via RSS github feeds, and turns them into karpathy-claude-wiki compatible source-summary pages. It handles transcription with Whisper, English-to-Chinese summarization using DeepSeek or similar LLMs, and archives full raw transcripts—solving the pain of manually digesting audio/text for personal research wikis. Run it via CLI with a YAML config for custom themes, hypotheses, and sources like Dwarkesh or Lex Fridman.

Why is it gaining traction?

It stands out as part of a zero-code AI investment research toolkit, with AI-agent install (paste a prompt into Claude) and seamless output to wiki pages, including insight logs and hypothesis links. Unlike basic github rss readers or bridges, it filters recent content (e.g., 7-day lookback), skips low-value episodes, and produces dual-language Markdown ready for LLMs—no GUI bloat, just configurable RSS github repo scanning for podcasts and blogs. The proxy support and rate-limit awareness make it reliable for daily pulls.

Who should use this?

Investment analysts tracking AI/energy podcasts (Sam Altman interviews, SemiAnalysis posts) who want automated feeds into a research wiki. Developers building personal knowledge bases around long-form RSS, especially those using karpathy-claude-wiki for hypothesis-driven notes. Niche for Mandarin speakers needing English raw + Chinese summaries without rebuilding a github rss feed commits or releases parser.

Verdict

Worth a spin for investment research workflows—solid docs, MIT license, and dry-run mode lower the bar—but at 12 stars and 1.0% credibility, it's early-stage with unproven scale. Test on your pod2wiki config before committing to production RSS github pages ingestion.

(198 words)

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