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Mnpgr: Use Vim for reading man pages

Hacker News

Mnpgr: Use Vim for reading man pages

Mnpgr is a small Lisp program that acts as an intermediary between man and Vim. The main benefit is that your reading position in any given man page is retained. Unlike other Vim-based schemes, mnpgr renders the backspace-based overstrikes generated by man into a markup notation for bold and italics. That is then loaded into Vim, with the help of a small custom syntax definition. Thus the syntax coloring is accurate, and the colorized text is searchable (it's not simply a highlighting/concealing scheme for backspace overstrikes).

Visit product View on Hacker NewsOct 14, 2023

Actual performance

3points

Did not reach leaderboard

Launch Intel predictions

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

62%62% 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.

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

54%54% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

50%50% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

36%36% 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

33%33% 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

20%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, crypto

7%7% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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