Using Claude to Build PainSignal: A Database of 1,000 Real Business Problems

Project Overview

A developer working on automation and software for small businesses (trucking, cleaning, property management, plumbing) built PainSignal using Claude Code. The platform organizes approximately 1,000 real business problems across 93 industries, sourced from industry forums and client conversations.

Claude's Implementation

Claude Code was used to build the entire platform from scratch, including both frontend and backend. The developer specifically used Claude for:

• Data pipeline: Claude classifies raw problem descriptions by industry, category, severity, and affected role (owner, manager, field tech, etc.)
• Opportunity clustering: Claude identifies when multiple independent reports describe the same underlying problem and groups them together. This creates the "15 reports" signal visible on trending problems.
• App concept generation: For each clustered problem, Claude generates a SaaS concept with a name, feature set, and revenue model. The developer notes these should be taken "with a grain of salt" but serve as decent starting points.
• Platform development: The entire frontend and backend were built with Claude Code, resulting in a Next.js application with search and filtering functionality.

Key Findings

The most significant insight from the project: industries with the worst pain points aren't typically targeted by tech developers. Trucking, cleaning, and landscaping show desperate need for tools despite receiving little attention from the tech community.

PainSignal is free to browse and currently contains about 1,000 problems. Users can submit additional problems they've encountered, which feeds back into the dataset.