Pythondocs.xyz – Live search for Python documentation

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Hi everyone! I've been working on a web search interface for Python's documentation as a personal project, and I think it's ready for other people to use... Please give it a go (and join me in praying to the server gods): https://pythondocs.xyz/ Here's the tech stack for those interested: - Parser: Beautiful Soup + Mozilla Bleach - Database: in-memory SQLite (aiosqlite) + SQLAlchemy - Web server: FastAPI + Uvicorn + Jinja2 - Front end: Tailwind CSS + htmx + Alpine.js I have ideas for future improvements but hopefully the current version is useful to someone. Let me know what you think!

Visit product View on Hacker NewsMay 9, 2022

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Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

54%54% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

53%53% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: ios, personal · Missing: mobile apps, entrepreneurs, apps

36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Strong signals: ios · Missing: supports, reddit linkedin, podcasting

35%35% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: interface · Missing: plus, platform, intuitive

31%31% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

11%11% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

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