Hyvor Blogs – Multi-language blogging platform

Hacker News

Hi HN, We are super excited to launch our second SaaS product, Hyvor Blogs. We (a small team of 3) have been working on this for about a year. After a bunch of testing, feedback, and iterations, here we are at the launch. We are trying to build a blogging platform that has all the features you need to run a blog without having to depend on plugins (themes, SEO, multi-language support, tags, team management, etc.). Most importantly, it’s just a blogging platform - not a site builder - not a membership platform. Overall, it’s been a great learning experience working on Hyvor Blogs. We’d love to know what HN thinks about our project. I am happy to answer any questions you might have. Finally, if you plan to upgrade, use this coupon for a 40% discount: HN_ROCKS (First, I was going to add all the technical details to the post text, but it looks like HN has a 4000 chars limit. I will add them in a comment below)

Visit product View on Hacker NewsMay 9, 2023

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Actual performance

2points

1comments

Did not reach leaderboard

Launch Intel predictions

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

82%82% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

74%74% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: excited, 000, io · Missing: https docs, just released, exist

58%58% 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 · Missing: mobile apps, ios, personal

46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

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

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

27%27% 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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