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ScroogeFrog AI
AI ad fraud detection that protects your marketing budget
163 followers
AI ad fraud detection that protects your marketing budget
163 followers
ScroogeFrog AI helps advertisers find out where their ad budget is going to waste. It audits website traffic and Google Ads campaigns to uncover suspicious clicks, bot activity, and underperforming spend, then turns complex data into clear recommendations on what to fix. For agencies and larger advertisers, it also offers custom AI fraud detection models trained on their own traffic data. Less guesswork, more control over every advertising dollar.
Products used by ScroogeFrog AI
Explore the tech stack and tools that power ScroogeFrog AI . See what products ScroogeFrog AI uses for development, design, marketing, analytics, and more.
LLMs 1
LLMs 1
TensorFlowAn end-to-end open source machine learning platform
4.8 (10 reviews)
TensorFlow, supported by Python's rich data science ecosystem, is a heavy-lifter and core framework we use to train our individual neutral networks. It seamlessly integrates with our broader data pipeline, allowing us to process massive multidimensional datasets(tensors) with GPU acceleration so our Antifraud checks remain precise and lightning-fast.
Finance 1
Finance 1
StripeFinancial infrastructure for the internet
5.0 (555 reviews)
We chose Stripe over traditional payment gateways because of its developer-first approach and flawless global compliance. For a B2B SaaS dealing with automated traffic audits and international subscriptions, billing flexibility is critical. Stripe makes it incredibly easy to manage free trials, flexible usage-based pricing, and secure micro-transactions without adding overhead to our core engineering team.
Engineering & Development 1
Engineering & Development 1
Claude CodeAnthropic’s deep-context AI coder
5.0 (868 reviews)
We used Claude Code purely as a developer productivity tool to save time during development. Compared to alternatives like OpenAI or Gemini, Claude Code is significantly better when it comes to coding tasks. Its CLI-first nature, deep understanding of codebase context, and precision in refactoring Python REST APIs and React code saved our engineering team countless hours of manual debugging.