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ad-tech

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MCP server for Google Ad Manager. Manage ad campaigns, orders, line items, and creatives through AI assistants like Claude, ChatGPT, Gemini, Cursor, and VS Code. Automate your ad operations with natural language instead of clicking through the GAM UI. Built by Matious.

  • Updated Apr 15, 2026
  • Python
ads.txt-app-ads.txt-Availability-Checker

πŸ” Streamlit bulk scanner for ads.txt and app-ads.txt availability verification. Batch domain validation with soft-404 detection, line counting, timeout handling, and CSV export. Built for AdOps workflows requiring large-scale audits of IAB ad declaration files.

  • Updated Apr 15, 2026
  • Python
Ads.txt-App-ads.txt-line-Checker

βœ… Streamlit validator for ads.txt and app-ads.txt partner declarations. Multi-threaded bulk domain auditing with SSL fallback, soft-404 detection, partial match diagnostics, and error triaging. Built for AdOps workflows. Supports DIRECT/RESELLER validation, and CSV export.

  • Updated Apr 15, 2026
  • Python
Validate-and-Optimize-app-ads.txt-ads.txt-file

πŸ”§ Streamlit app for validating and optimizing ads.txt and app-ads.txt files. Auto-fix duplicates and syntax errors, detect malformed records, analyze account types and certification usage. Multi-source ingestion with CSV/JSON export for AdOps compliance workflows.

  • Updated Apr 15, 2026
  • Python
Mass-App-Ads-Checker

βœ… Chrome extension for high-volume app-ads.txt validation with smart URL probing, IAB record parsing, and CSV export. Manifest V3 with timeout protection, HTML rejection, DIRECT/RESELLER counting, and batch processing. Built for AdOps compliance workflows and publisher audits.

  • Updated Apr 3, 2026
  • JavaScript
Mass-Ads-Checker

βœ… Chrome extension for high-volume ads.txt validation with smart multi-variant URL probing, IAB record parsing, and CSV export. Manifest V3 with timeout protection, HTML rejection, DIRECT/RESELLER counting, and batch processing. Built for AdOps compliance and publisher audits.

  • Updated Apr 3, 2026
  • JavaScript

This project aims to predict the gender of individuals based on their app usage patterns. The project leverages data collected through a custom survey to train machine learning models. By analyzing various app usage statistics, such as time spent on different categories of apps, we aim to determine the user's gender with high accuracy.

  • Updated Sep 10, 2024
  • Jupyter Notebook

AdMapix β€” AI-powered ad intelligence & mobile app analytics. Search ad creatives, analyze competitor strategies, track rankings across 200+ countries. SimilarWeb/Sensor Tower/AppGrowing alternative.

  • Updated Apr 15, 2026
AdVerify-adstxt-appadstxt-Crawler

πŸ” Async Python crawler for bulk ads.txt & app-ads.txt presence checks across hundreds of thousands of domains. Features auto-dedup, randomized queue, crash-safe resume, and streaming writes. Built for programmatic ad tech and SSP teams.

  • Updated Apr 16, 2026
  • Python

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