Now scanning public sources

Your competitors' customers are screaming online. Are you listening?

PainRadar monitors Reddit, Hacker News, G2, Capterra, Twitter, and GitHub Issues to surface product complaints, cluster them into themes, and show you exactly where the market is hurting.

Notion Pain Detected
"Database views are painfully slow with more than 500 rows. I've been waiting 3 months for a fix."
Complaint trend (30d)
132
Mentions this month
6
Sources detected
How it works

From raw frustration to actionable intelligence

01 INGEST

Scan the internet

AI agents continuously monitor Reddit, HN, G2, Capterra, Twitter, GitHub Issues, and YouTube comments for product complaints.

02 CLUSTER

Identify pain themes

Complaints are grouped into recurring themes using embeddings and clustering. Not keyword matching. Actual semantic understanding.

03 SURFACE

Deliver intelligence

Weekly reports with complaint trends, severity scores, and opportunity signals. Know exactly where competitors are failing before they fix it.

Who this is for

Turn customer pain into your advantage

SaaS Founders

Find the features your competitors can't ship fast enough. Build what their users are begging for.

Product Teams

Prioritize your roadmap using real complaint data instead of gut feelings and internal debates.

Growth Teams

Craft messaging that speaks directly to the pain your competitors are ignoring. Win their unhappy customers.

Investors

Spot market opportunities before they show up in pitch decks. Track which products are losing trust.

Data sources

We go where your customers complain

Reddit
Hacker News
Twitter / X
G2 Reviews
Capterra
GitHub Issues
YouTube Comments
TrustRadius

Existing tools track mentions. PainRadar tracks pain.

The difference between social listening and complaint intelligence is the difference between knowing someone talked about you and knowing exactly where the market is bleeding.

Launch Dashboard →