What is Real Problem AI?

Real Problem AI is a curated directory of 200+ 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 200+ 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 does my agent keep sending me listings that have been off-market for weeks?

Zillow/Redfin saved searches surface stale, pending, or pulled listings; buyers waste weekends on dead leads.

Category: PropTech / Real Estate · Trend: Agents · Opportunity score: 7.8 / 10

What is the “Why does my agent keep sending me listings that have been off-market for weeks?” problem in 2026?

Zillow/Redfin saved searches surface stale, pending, or pulled listings; buyers waste weekends on dead leads.

Who has this problem?

Active home buyers in hot markets.

Evidence this problem is real

“Drove 40 minutes for an open house. The home went pending Wednesday. App still showed Active.”

Sourced from Zillow App Store reviews, r/RealEstate, r/FirstTimeHomeBuyer.

Existing players in this space

Zillow
Redfin
Realtor.com
HomeSnap

What existing players are missing

Real-time MLS-cross-reference with status verification on the listing brokerage's own site, plus a buyer-side scoring of likely-stale listings before you drive.

How Real Problem AI scores this opportunity

Aggregate score: 7.8 / 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

MLS feed + listing-broker website cross-check
Listing-status freshness classifier
Daily verified-only digest
Open-house scraper with cancellation detection

Why this problem is archived

Stale-listing problem is a Zillow/Redfin data refresh issue, not a product.