About

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

Mission Statement

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.

The Solution

RealPainPoints uses AI-powered analysis paired with human validation 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. Finally, it is reviewed by a human professional to ensure it is a real problem that people are actually facing.

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 before being reviewed by a human professional.

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.

The Story and Vision Behind RealPainPoints

Founded from Frustration

RealPainPoints was born from my own frustration. In an oversaturated market, I had the skills to develop but lacked insight into real company and consumer pain points. It felt challenging to find an actual problem worth solving without creating a solution in search of a problem.

During my research, it became clear that this struggle wasn't unique to me. Countless developers and problem solvers face the same challenge ... whether through posts asking "is this a good idea?" or "what are some good saas ideas?" or even those sharing "my saas project is failing." These conversations revealed a fundamental disconnect between people and organizations that are facing certain pain points and those who are willing and ready to solve them, but unaware of their existence.

Sometimes a simple affirmation that a problem is worth solving is all that's needed to get started. That's what RealPainPoints stands for at its core ... connecting problem-havers with problem-solvers and providing the validation needed to take the first step.

The plan is to start with a database that lists validated problems, but the vision goes much deeper. RealPainPoints is building a faster pipeline between solvers and those facing problems, creating a new ecosystem where real problems meet ready solutions.

Geordan Gesink, Founder of RealPainPoints

Geordan Gesink

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 find objective, evidence-based problem discovery.

Community Focus

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

Human Validation

Human validation plays a crucial role in ensuring that only the most promising and actionable problems make it to our platform.

Ready to Discover Real Problems?

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