Re

ReleasePage – Better release communication for your software

Hacker News

ReleasePage – Better release communication for your software

Hi HN! I'm pleased to announce ReleasePage ( https://releasepage.co ). We built this app to solve a simple problem we encountered when working on large products; how do we provide a user-friendly list of changes available in each new release? GitHub helpfully provides us with 'GitHub Releases', allowing us to track software changes easily, however this is decidedly developer focussed and more than often the repositories are private and these details cannot be shared. ReleasePage allows you to create customised, beautiful webpages to show off your releases and easily share them with your users. It utilises your GitHub releases so that there is no need to duplicate information. We also offer several other conveniences, for instance it's common to have several repositories that make up an overall product (we have three core ones that make up our app). ReleasePage can combine your notes for each project into one release. You can see this in action on our own Release Page ( http://releases.releasepage.co ). We hope that you like our product, and can't wait to hear any thoughts and feedback!

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Actual performance

3points
4comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: user, new, notes · Missing: mac, agents, macos
78%78% 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 HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
52%52% predicted probability of success on Indie Hackers, 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
51%51% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Strong signals: friendly, users · Missing: plus, platform, intuitive
41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: users · Missing: mobile apps, ios, personal
30%30% 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
10%10% 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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