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 does my dentist miss a third of incoming calls and lose the new patient every time?

Front desks miss 32 to 38 percent of calls while juggling check-ins and insurance, only 14 percent of new patients leave a voicemail, and each missed new-patient call is worth thousands in lifetime value.

Category: HealthTech · Trend: Voice · Opportunity score: 7.4 / 10

What is the “Why does my dentist miss a third of incoming calls and lose the new patient every time?” problem in 2026?

Who has this problem?

Owners and office managers of dental, and other small clinical, practices.

Evidence this problem is real

“The average dental practice misses 32-38% of incoming phone calls during regular business hours, and only about 14% of new patients leave a voicemail.”

Sourced from Dentina.ai analysis of missed-call revenue in dental practices (2026). (link)

Existing players in this space

Weave / Dental Intelligence: Practice comms suites, thin on live call answering
Human answering services: Costly, no booking into the PMS, no clinical context
Generic voicemail: New patients hang up and call the next office

What existing players are missing

A voice agent that answers every overflow and after-hours call, books straight into the practice management system, verifies basic insurance, and texts back missed callers before they call a competitor.

How Real Problem AI scores this opportunity

Aggregate score: 7.4 / 10. Four-axis rubric:

Problem severity: 8 / 10
AI feasibility today: 8 / 10
Market signal: 8 / 10
Competition gap: 5 / 10

How to build a solution: stack hints

Voice agent (STT/TTS)
PMS scheduling integration
Insurance-eligibility lookup
Missed-call SMS recovery

Why this problem is archived

Trimmed to 100-cap (lowest opportunity_score)