PainRadar

Talk to a real customer
over your morning coffee.

An AI agent that finds the people crying out loud
about the problem you want to solve — every single morning.

First Things First | DucNM161 · ThuyNTT172 · TienVM17

Everyone knows to talk to customers.
Almost nobody does it.

Startups 90%

fail — and the top reason is
no market need.

Enterprises $Millions

burned on products
nobody ends up using.

  • They don't know where the customers are.
  • Cold outreach is painful and the reply rate is low.
  • So discovery happens a few times a quarter — then stops.
  • Going global is worse still: no local network, so finding anyone to talk to is far harder.

Discovery becomes a 15-minute daily habit.

The agent works overnight. You show up for fifteen minutes.

☀️ Morning

Always-on radar — new signals are waiting. Today’s list is different.

☕ 15 minutes

You — comment, DM, connect. 100 touches → ~10 real conversations.

🌙 Overnight

Auto-discovery — the agent finds, crawls and analyses quality sources.

🌙 Overnight

Auto-scoring — signals ranked by quality × engagement × recency.

→ → → →

Built for every team that works with customers.

Product A deep understanding of the customer's real problem — evidence, not imagination.
Sales People who said the problem out loud this week.
Marketing Their exact words — copy written in the customer's language.
Customer Success The pain showing up again and again — seen before it becomes churn.

Same radar, four jobs: find the customer, widen the problem,
keep them, spot the next product.

Live demo

  • Type one idea.
  • The agent runs — signals come back scored.
  • What the score means: quality × engagement × recency.
  • Open a signal → the real post, the real person.

Every signal links back to the original post.
Nothing here is invented by the model.