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Form Spam Filter

!!! success "Project Launched!" This experiment has successfully moved to production. See applications/form-spam-filter.md for the live product.

Overview

An embeddable form spam filtering solution designed to combat the growing problem of AI-generated spam submissions on business websites. The system aims to automatically detect and filter out spam while preserving legitimate customer inquiries.

Status Update (October 23, 2025): This project rapidly evolved from experimental prototype to fully launched production service in under 24 hours, demonstrating exceptional development velocity and immediate market validation.

Problem Statement

Business websites are experiencing significant challenges with AI-generated spam submissions that overwhelm legitimate customer communications:

  • Property tax business receiving 10-15 daily spam submissions
  • Legitimate customer requests getting lost in spam volume
  • Current solutions (Google Captcha) ineffective against AI-generated content
  • Need for intelligent classification beyond simple bot detection

Technical Approach

Core Features

  • AI-Powered Classification: Machine learning model to identify spam patterns in form submissions
  • Middleware Architecture: Plugin-style integration with existing form platforms
  • Human-in-the-Loop Training: UI for triaging submissions to improve classifier accuracy
  • Embeddable Design: Easy integration across different website platforms and form providers

Architecture Considerations

  • Platform-agnostic integration (Webflow, Google Forms, custom forms)
  • Real-time classification processing
  • Feedback mechanism for continuous model improvement
  • Dashboard for submission management and review

Market Research

Initial research indicates that existing form platform providers do not offer comprehensive AI spam detection:

  • Google Forms relies primarily on Captcha
  • Webflow has basic spam protection but not AI-specific
  • Third-party form providers lack sophisticated content analysis
  • Clear market opportunity for specialized solution

Development Status

Current Phase: Early prototype development

  • Initial repository created
  • Architecture planning in progress
  • Technology stack evaluation ongoing
  • UI mockups and workflow design

Technical Challenges

  1. Accuracy Balance: Minimizing false positives while catching sophisticated AI-generated content
  2. Integration Complexity: Supporting diverse form platforms and submission flows
  3. Real-time Performance: Fast classification to avoid user experience delays
  4. Training Data: Building effective dataset for spam vs. legitimate content

Potential Applications

  • Small business websites with contact forms
  • E-commerce customer support forms
  • Lead generation and inquiry forms
  • Newsletter and subscription forms
  • Event registration systems

Business Model Considerations

  • Plugin/SaaS model for easy adoption
  • Tiered pricing based on form volume
  • Integration partnerships with form platform providers
  • API-first approach for custom implementations

Next Steps

  • [ ] Complete initial prototype development
  • [ ] Define ML model architecture and training approach
  • [ ] Design integration APIs for common form platforms
  • [ ] Create proof-of-concept with real spam data
  • [ ] Develop user interface for spam management
  • [ ] Test integration with Webflow (initial use case)

This project emerged from real-world business challenges with form spam and represents an opportunity to apply AI solutions to combat AI-generated problems.