What is Real Problem AI?

Real Problem AI is a curated directory of 100 real problems worth building an AI startup around. Each problem is scored honestly on severity, AI feasibility, market signal, and competition gap. We're for builders looking for what to build, not for ethics debates about AI.

What is the difference between Real Problem AI and AI ethics or AI risks indexes?

Real Problem AI catalogues problems AI can solve — productive, commercial opportunities for builders. AI ethics indexes catalogue problems with AI itself (bias, environmental cost, copyright, consciousness). Different intent, different audience: founders and indie hackers vs researchers and policy folks.

What should I build with AI in 2026?

Look for problems with high severity (it costs people hours, sleep, or revenue every week), high AI feasibility (LLMs, vision or voice are great at this today), strong market signal (Reddit threads + willingness to pay), and a clear competition gap (incumbents miss the same obvious thing). Real Problem AI scores 100 such problems for you on those four axes.

Where do Real Problem AI's startup ideas come from?

From three sources, scanned each cycle: 1) Reddit threads where people describe a real friction in their own words, 2) podcasts and talks of founders young builders trust (Nikhil Kamath, Aman Gupta, Ankur Warikoo, Raj Shamani, Andrej Karpathy, Greg Isenberg), and 3) a continuous 1,000+ source scan covering forums, app store reviews, regulator filings, and field interviews.

Is Real Problem AI free?

Yes. Browsing every problem, opening every score breakdown, raising your hand on a co-founder match, and the founder vault are all free. There is no paywall.

How is each problem scored?

Four axes, each 1-10, weighted: Problem Severity (30%), AI Feasibility (25%), Market Signal (25%), Competition Gap (20%). Weighted average is the Opportunity Score on each card. Only problems clearing 7.0+ make the live list.

Why can't I find which neighborhood actually fits my real life?

Search filters are bedrooms/bath/price; they ignore commute, school zones, walkability, noise, your coffee habit.

Category: PropTech / Real Estate · Trend: Personalization · Opportunity score: 7.5 / 10

What is the “Why can't I find which neighborhood actually fits my real life?” problem in 2026?

Search filters are bedrooms/bath/price; they ignore commute, school zones, walkability, noise, your coffee habit.

Who has this problem?

Movers to a new city; remote workers relocating.

Evidence this problem is real

“Zillow shows me listings. I want 'where would I be happy'.”

Sourced from r/AskNYC, r/Seattle, "moving to X" threads across city subreddits.

Existing players in this space

Niche
AreaVibes
Zillow filters
Redfin

What existing players are missing

A conversational "tell me about your life" assistant that ranks neighborhoods on combined criteria using real data sources (commute, schools, crime, third-place density).

How Real Problem AI scores this opportunity

Aggregate score: 7.5 / 10. Four-axis rubric:

Problem severity: 7 / 10
AI feasibility today: 8 / 10
Market signal: 8 / 10
Competition gap: 7 / 10

How to build a solution: stack hints

Census + crime + transit + Yelp + GreatSchools data
LLM lifestyle profiler
Walkability/commute simulators per address
Auto-generated visit itinerary