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 language-app practice never sound like the way people actually talk?

Duolingo and friends drill vocabulary but learners still freeze in real conversation with native speakers.

Category: EdTech · Trend: Voice · Opportunity score: 8.0 / 10

What is the “Why does language-app practice never sound like the way people actually talk?” problem in 2026?

Duolingo and friends drill vocabulary but learners still freeze in real conversation with native speakers.

Who has this problem?

Adult language learners (Spanish, Mandarin, Japanese, French) at A2-B1 plateau.

Evidence this problem is real

“5-year Duolingo streak. Asked for the bathroom in Mexico City and froze.”

Sourced from r/languagelearning, Duolingo App Store reviews, r/Spanish.

Existing players in this space

Duolingo Max
Speak
Pimsleur
italki tutors

What existing players are missing

No app simulates a specific real-world scenario (renewing your visa at the consulate, ordering at a *taqueria* in Oaxaca) with regional accents and the awkward interruptions that actually break learners.

How Real Problem AI scores this opportunity

Aggregate score: 8.0 / 10. Four-axis rubric:

Problem severity: 7 / 10
AI feasibility today: 9 / 10
Market signal: 9 / 10
Competition gap: 6 / 10

How to build a solution: stack hints

Real-time voice (OpenAI Realtime / Vapi) with regional accents
Scenario library tied to user's destination
Pronunciation scoring per phoneme
Spaced-repetition for stuck phrases