itorr/nbnhhsh

😩「能不能好好说话?」 拼音首字母缩写翻译工具

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Summary Information

Updated 53 minutes ago
Added to GitGenius on September 10th, 2026
Created on March 22nd, 2020
Open Issues & Pull Requests: 39 (+0)
GitHub issues: Enabled
Number of forks: 245
Total Stargazers: 6,276 (+0)
Total Subscribers: 39 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 15.4 hours
Mean response time: 91.0 days
90th percentile: 85.1 days
Tracked items: 23

How this project is maintained

Around half of the issues opened in the past year never receive a reply. Only 10% of issues opened in the past year have been closed. Three people close 62% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 15
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 914 days
Stale 30+ days: 14
Stale 90+ days: 13

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • enhancement (4)
  • bug (1)

Most active issues this week

No issue events were indexed in the last 7 days.

Detailed Description

nbnhhsh is a translation tool that decodes Chinese pinyin acronyms into their full forms.

The tool addresses the problem of understanding abbreviated Chinese text where words are shortened to their initial consonants and vowels. Users encounter these acronyms frequently in online communication, gaming, and social media, where "能不能好好说话" (can you please speak clearly) itself becomes "nbnhhsh". The tool works by accepting an acronym as input and returning possible expansions by matching the letters against a database of common Chinese phrases and expressions.

The project suits anyone who reads Chinese internet culture, including gamers, social media users, and anyone navigating online Chinese communities where such abbreviations are standard. It is particularly useful for those unfamiliar with current slang or who need quick clarification on what an acronym means. The tool is available both as a web application and as a userscript for browser integration, making it accessible in different contexts depending on user preference.

The project shows active maintenance with regular updates to its acronym database to capture new slang as it emerges. Development activity indicates responsiveness to user contributions and bug reports, with the codebase receiving ongoing refinement. The tool maintains a straightforward, focused scope rather than attempting to solve broader translation problems, keeping the implementation lean and the user experience direct.