Scanning complaints in real time

The world complains.
You build the solution.

We scan Reddit, Hacker News, Product Hunt and 30+ sources 24/7 to surface the hottest complaints and unmet demands — so you find real problems to solve.

🚀 Open Live Dashboard See how it works →
app.problemnews.io — Live Problem Feed
🔥 Trending Now
💡 Feature Requests
😤 Top Complaints
📈 Rising Fast
r/

"Why is there no app that tells me exactly what's in my fridge and suggests recipes? Been asking for this for 5 years."

💡 Feature RequestFood
HN

"Why is there no tool that automatically categorizes and summarizes code review comments? I spend 40% of my time writing the same feedback."

💡 Feature RequestDevTools
PH

"Still waiting for a budgeting app that connects to ALL my banks (not just US ones) and splits expenses automatically with roommates."

😤 ComplaintFinance
𝕏

"My doctor sent me to 3 different labs, none of them talk to each other. Why is healthcare coordination still so broken in 2025?"

😤 ComplaintHealthcare
2.4M+
Posts analyzed per day
38
Sources monitored
94%
AI classification accuracy
12
Languages supported

Finding a real problem is
harder than solving it

Most startups fail because they build something nobody needs. The pain exists — but it's scattered across millions of conversations.

Hours of manual research

Reading Reddit threads, searching Twitter, navigating niche forums — it takes days to find real patterns.

📉

Ideas without validation

42% of startups fail due to lack of market demand. The real pain was there, but nobody listened carefully enough.

🌊

Noise vs. signal

Millions of posts a day. Without AI filtering, you find one person's complaint — not the one shared by 50,000.

🔮

Trends that slip away

A problem can go viral in 48 hours. By the time you see it, 5 teams are already building the solution.

From noise to insight in seconds

A non-stop data pipeline powered by AI so you only see what matters.

1

Continuous scraping

Our crawlers monitor Reddit, HN, Product Hunt and news sites around the clock.

2

AI classification

Claude AI categorizes each post: Is it a complaint? A feature request? Which industry? How urgent?

3

Semantic clustering

Posts about the same problem are grouped automatically even when different words are used.

4

Heat score ranking

A "temperature" score weights volume, urgency, repetition and topic growth rate.

5

Your personalized feed

Only the industries and problems you care about — with alerts when something explodes.

Where real pain lives

We monitor the platforms where people speak without filters.

🤖

Reddit

1,500+ subreddits

𝕏

X / Twitter

Trending & niche

🟠

Hacker News

Tech & startups

🐱

Product Hunt

Comments & reviews

📱

App Store

1 & 2-star reviews

G2 / Capterra

B2B pain points

💼

LinkedIn

Professional pain

📰

News Comments

Global news

📹

YouTube

Comments & reviews

💬

Discord / Slack

Private communities

📊

Quora

Unanswered questions

🌐

+27 more

And counting...

Trending right now
🔥 "No apps for elderly care coordination" ↑182%
😤 "Insurance claim process is broken" ↑94%
💡 "Need AI that reads all my tabs" ↑220%
🔥 "Pet medication reminders app?" ↑67%
😤 "Car service still by phone" ↑45%
💡 "Sleep tracking that actually works" ↑310%
🔥 "Freelance taxes are a nightmare" ↑88%
😤 "Local events discovery is dead" ↑156%
💡 "Shared grocery lists between families" ↑73%
🔥 "B2B invoicing still on email" ↑119%
🔥 "No apps for elderly care coordination" ↑182%
😤 "Insurance claim process is broken" ↑94%
💡 "Need AI that reads all my tabs" ↑220%
🔥 "Pet medication reminders app?" ↑67%
😤 "Car service still by phone" ↑45%
💡 "Sleep tracking that actually works" ↑310%
🔥 "Freelance taxes are a nightmare" ↑88%
😤 "Local events discovery is dead" ↑156%
💡 "Shared grocery lists between families" ↑73%
🔥 "B2B invoicing still on email" ↑119%

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