Question 1

How does DiscoverKit find pain points on Twitter?

Accepted Answer

DiscoverKit uses AI to analyze millions of Twitter/X conversations, identifying complaints, alternative requests, and solution requests from B2B customers. Our system processes tweets in real-time and classifies them as pain points.

Question 2

Why Twitter instead of Reddit for B2B research?

Accepted Answer

B2B customers discuss problems on Twitter, not Reddit. Twitter is where professionals, founders, and decision-makers share real experiences with software and tools. Reddit is better for consumer/hobby validation, while Twitter excels at B2B professional pain points.

Question 3

How many pain points are in the database?

Accepted Answer

DiscoverKit has over 10,000 classified pain points from Twitter, organized by category, business function, company stage, and pain type. New pain points are added daily.

Question 4

What makes DiscoverKit different from social listening tools?

Accepted Answer

Social listening tools like Brand24 monitor mentions of YOUR brand. DiscoverKit discovers pain points across your ENTIRE market. We are built for validation, not monitoring. Find what customers need before building, not after.

Question 5

Can I search for specific industries or categories?

Accepted Answer

Yes! DiscoverKit lets you browse by category (CRM, Project Management, etc.), business function (Marketing, Sales, etc.), company stage (Startup, SMB, Enterprise), and pain type (Alternative Requests, Complaints, etc.). You can also search with keywords and apply filters.