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 is finding overnight street parking in my city basically a memory test?

Street-cleaning rules, permit zones, alternate-side, and overnight bans are signposted with confusing arrows and change block-by-block.

Category: Automotive & Mobility · Trend: Vision · Opportunity score: 7.7 / 10

What is the “Why is finding overnight street parking in my city basically a memory test?” problem in 2026?

Street-cleaning rules, permit zones, alternate-side, and overnight bans are signposted with confusing arrows and change block-by-block.

Who has this problem?

Urban renters in NYC, SF, Boston, Chicago, Philly.

Evidence this problem is real

“Got a $115 ticket. The sign 12 feet up said 'Tuesday 8-10 except first of month'. I'm not Sherlock Holmes.”

Sourced from r/AskNYC, r/sanfrancisco, r/boston.

Existing players in this space

SpotAngels
ParkMobile
Google Maps parking layer

What existing players are missing

Point camera at the sign, get a plain-English "you can park here until Tuesday 8 am" answer that accounts for current date, holidays, and the second sign 8 feet away that contradicts the first.

How Real Problem AI scores this opportunity

Aggregate score: 7.7 / 10. Four-axis rubric:

Problem severity: 6 / 10
AI feasibility today: 9 / 10
Market signal: 8 / 10
Competition gap: 8 / 10

How to build a solution: stack hints

Phone-camera vision for stacked parking signs
Municipal parking-rules dataset (often missing, needs scrape)
LLM rule combiner with date arithmetic
Push reminder before tow window

Why this problem is archived

Vague consumer pain; SpotHero/Best Parking cover the urban-parking layer.