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 is my course content scattered across 12 platforms I have to update one by one?

Indie tutors recreate the same lesson in Zoom whiteboard, Google Doc, IXL, Quizlet for each student.

Category: EdTech · Trend: Multimodal · Opportunity score: 7.0 / 10

What is the “Why is my course content scattered across 12 platforms I have to update one by one?” problem in 2026?

Indie tutors recreate the same lesson in Zoom whiteboard, Google Doc, IXL, Quizlet for each student.

Who has this problem?

Solo tutors and small tutoring businesses.

Recorded source context

Dataset source note: I make the same fractions worksheet 4 times because each kid uses a different platform.

This note may summarize the referenced material rather than quote it verbatim. Source label: r/tutor, r/teachersofreddit (side hustle threads)..

Existing players in this space

Khan Academy
Eduaide
MagicSchool

What existing players are missing

No single canonical lesson source-of-truth that exports per-student to whichever platform that family uses, with auto-difficulty adaptation.

How Real Problem AI scores this opportunity

Aggregate score: 7.0 / 10. Four-axis rubric:

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

How to build a solution: stack hints

Markdown/JSON canonical lesson format
Exporters: Google Doc, PDF, Quizlet, IXL deep-link
Per-student difficulty adapter
Session history + parent recap

Why this problem is archived

Kajabi, Teachable, Skool consolidated this; CMS unification is no longer underserved.