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Aditya2375/pension-integrity-monitor

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Python
1 contributors
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Momentum

How fast Aditya2375/pension-integrity-monitor is gaining stars, and where it lands on Trendshift and GitHub Trending

Activity and trending

Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending

Nov 6 – Nov 12, 2026

Stars +0 in 7 days

01

Forks +0 in 7 days

01

Merged PRs 0 in 7 days

01

Trendshift Trendingwhere the repository ranked each day it made the top 25

Not in the Trendshift top 25 in this period

Nov 6Nov 7Nov 8Nov 9Nov 10Nov 11Nov 12
The left and right arrow keys step from day to day; Home and End go to the first and the last

Stars, forks, merged pull requests and Trendshift Trending rank, by day
DayStars gainedForks gainedMerged PRs
Fri, Nov 6, 2026+0+00
Sat, Nov 7, 2026+0+00
Sun, Nov 8, 2026+0+00
Mon, Nov 9, 2026+0+00
Tue, Nov 10, 2026+0+00
Wed, Nov 11, 2026+0+00
Thu, Nov 12, 2026+0+00
Total+0+00
  • 1#1 on the list
  • 7Rank that day
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. Nov 121 post
    • Im building pension-review software for officers: human verification, separate supervisor approval and family appeals. V15: 99.13% precision, 88.81% recall on a blind synthetic benchmark of 200,000…

      Read full on X, posted by @Adityaa_Kulkarn

      @Adityaa_Kulkarn · x.com

  2. Nov 72 posts
    • I'm building a pension detector for officers to flag payments continuing after an unreported death. Blind benchmark: 200,000 synthetic pensioners, 99.13% precision, 88.81% recall. Evidence review and…

      Read full on X, posted by @Adityaa_Kulkarn

      @Adityaa_Kulkarn · x.com

    • A quiet account isn't proof of death. My pension detector: 99.13% precision, 88.81% recall on one blind synthetic benchmark. Not production accuracy. The separate review app doesn't stop real…

      Read full on X, posted by @Adityaa_Kulkarn

      @Adityaa_Kulkarn · x.com