Ma
Manpages.debian.org has been modernized
Hacker NewsManpages.debian.org has been modernized
I felt that publically available manpage repositories were lacking in one aspect or another (incomplete, hard to navigate, only offering plain text), so I set out to improve an existing one: the Debian manpage web repository. Check out e.g. https://manpages.debian.org/jessie/cron/crontab.5.en.html for an interesting entry point, showcasing a couple of features. For the full launch announcement, see https://people.debian.org/~stapelberg/2017/01/18/manpages-debian-org.html Hope this is useful to some of you!
Share cardActual performance
6points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →Hacker NewsStrong engagement from HN community · Strong signals: exist, existing · Missing: https docs, excited, just released62%62% 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 · Missing: plus, platform, intuitive45%45% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting36%36% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: plain · Missing: mac, agents, macos22%22% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue20%20% 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, crypto3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
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