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I made a service to convert WordPress blogs to Hugo

Hacker News

I made a service to convert WordPress blogs to Hugo

Hi Hacker News! I made this project to read a WordPress export and create the markdown files for Hugo. It'll speed up the process of moving your blog over to Hugo and let you avoid a bunch of manual work. It came about when I was talking to somebody who was trying to move their site over and didn't want to manually copy and reformat all their posts. They had trouble finding a tool to do it, so I wrote one. I want to make sure it's useful to people before charging them, so it'll give you a download with 3 pages and 5 blog posts converted for free and without asking for any information. If you like what you see, there is a one-time charge through Stripe to convert everything. I hope you find it useful, and I welcome any and all feedback on it! Thanks for reading!

Visit product View on Hacker NewsJan 22, 2025

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98points

42comments

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

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best fitHighest predicted score across all platforms for this description.

Hacker NewsMay not resonate with HN audience · Strong signals: hacker news, io · Missing: https docs, excited, just released

49%49% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntUnlikely to reach the leaderboard · Strong signals: stripe, new · Missing: mac, agents, macos

43%43% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

26%26% 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

18%18% 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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