I made Blog platform app, so everyone can write blog effortless

Hacker News

Hello guys, I made a Blog platform called Penify. This blog platform allows you to view latest articles from other bloggers. Everyone can sign up in Penify and write their own Blog posts for free without coding. Every Blog Post is going on Submission process. If the Blog Post is accepted, then will be permanently show up in the Penify homepage and in search engines. You can customize your Blog post with additional information, like title, description, tags, image and many more. Based on provided information, the Blog post will be generated SEO optimized automatically, which lead to nice placing in search engines. If you have any questions or Feedback then please leave a comment!

Visit product View on Hacker NewsAug 24, 2024

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Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

65%65% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

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

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

47%47% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

38%38% 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

24%24% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

13%13% 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

8%8% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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