daGama
  • Introduction
    • Description
    • Community
  • Problem and Solution
    • Problem
    • daGama solution
  • Product
    • For user
      • The impressions map and recommendation feed
      • Creating recommendations and iteneraries
      • User Guide
    • For business
      • Business Panel
      • Promotional Tools
  • Architecture
    • Multi-Level Antifake System (MLAFS)
      • User behavior analysis
      • Verification pipeline
    • Trust rating algorithm
      • AI Vasco recommendation algorithm
    • Gama Protocol
    • Blockchain
      • Membership Card (NFT ID)
      • Staking
  • Economics
    • Tokenomics
    • Token Utility
    • Role of the users
  • Inhouse
    • Team
    • Partners
  • Updates of App
    • June '24
    • July '24
  • August '24
  • October '24
  • November '24
  • December '24
  • February '25
  • March '25
  • April '25
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  1. Updates of App

July '24

July 10, 2024 Added: We optimized the CI/CD pipeline, streamlining the integration of new features from developers into the application and significantly reducing release cycles. By optimizing the CI/CD pipeline, we accelerated the delivery of new features by enhancing the integration process between developers and the application

July 17, 2024 Added: UX/UI. Based on insights from alpha testers, we've significantly overhauled the process of creating new places and posts, making it more intuitive and user-friendly Anti-fake system. We've released our first version of an anti-fake system, composed of dozens of modules. One analyzes content, another the author, and so on. The system also employs a unique user-device fingerprint to prevent rating manipulation through multiple reviews, comments, and likes, while not interfering with core app functionality

July 19, 2024 Added: Anti-fake system: We have prepared the initial implementation of our anti-fake system, which consists of dozens of modules. It evaluates content, its creator and reviewer according to various criteria in order to filter quality content as accurately as possible. The system uses a unique user-device (fingerprint) link to prevent rating spoofing through multiple reviews, comments and likes, without interfering with the main functions of the application.

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Last updated 11 days ago