RealPainPoints

About

We're on a mission to help entrepreneurs and developers discover real problems that people actually want solved. No more building solutions in search of problems.

Our Mission

The Problem with Problem Discovery

Too many entrepreneurs and developers spend months or years building products that nobody actually wants. They start with a solution and then try to find a problem to solve, rather than the other way around.

This approach leads to wasted time, money, and energy on projects that fail to gain traction or generate revenue.

Our Solution

RealPainPoints uses AI-powered analysis to discover and validate real problems from technical communities, social media, and online discussions.

We surface problems that people are actively discussing, struggling with, and willing to pay to solve.

How It Works

1. Discover Problems

Our AI scans thousands of conversations across Hacker News, Reddit, and other technical communities to identify recurring pain points.

2. Validate & Score

Each problem is analyzed for frequency, intensity, and market potential using our proprietary scoring system.

3. Build Solutions

Armed with validated problems, you can build solutions that people actually want and are willing to pay for.

Behind the Scenes

RealPainPoints uses a sophisticated three-stage AI system to discover, analyze, and validate problems from across the web.

The Scraper

Our intelligent scraper continuously monitors forums, social media platforms, and technical communities to identify discussions about pain points and challenges.

Sources: Hacker News, Reddit, Stack Overflow, Discord communities, Twitter, and specialized forums

GPT Analysis

Our GPT-powered system analyzes raw discussions to create structured problem summaries, identify solution approaches, and extract key insights from community conversations.

Output: Clean problem descriptions, potential solutions, and market context

The Gate Keeper

Our validation AI evaluates each problem for actionability, market potential, and solution feasibility. It assigns scores and filters out low-quality or unactionable problems.

Criteria: Frequency, intensity, market size, and solution viability

Human Validation

Every problem that passes our AI validation is then reviewed by professionals in the relevant field. They validate or adjust the Gate Keeper's score, ensuring that only the most promising and actionable problems make it to our platform.

Our Story

The Birth of RealPainPoints

RealPainPoints was born from frustration. After building several products that failed to gain traction, we realized we were solving the wrong problems. We were building solutions and then trying to find problems to fit them, rather than starting with real problems that people actually had.

We started manually analyzing conversations on Hacker News, Reddit, and other technical communities to understand what problems people were really facing. This process was time-consuming but incredibly valuable.

As we scaled this process, we realized that AI could help us analyze thousands of conversations simultaneously, identifying patterns and problems that we might miss manually. This led to the development of our AI-powered problem discovery platform.

Today, RealPainPoints helps entrepreneurs and developers discover validated problems that have real market potential. We believe that starting with a real problem is the foundation of any successful product.

Our Team

Entrepreneurs

We're entrepreneurs who've been through the struggle of building products that don't find market fit.

Developers

Our team includes experienced developers who understand the technical challenges of building solutions.

Problem Solvers

We're passionate about helping others solve real problems and build successful businesses.

Our Values

Problem-First Approach

We believe that successful products start with real problems, not solutions in search of problems.

Data-Driven Insights

We use AI and data analysis to provide objective, evidence-based problem discovery.

Community Focus

We focus on problems from real communities where people are actively discussing their challenges.

Continuous Learning

We're constantly improving our AI models and responding to user feedback to provide better insights.

Ready to Discover Real Problems?

Start exploring validated problems that people actually want solved. Build products that have real market potential from day one.