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.

AI Startup Ideas · 100 Real Problems Worth Solving

Name: Real Problem AI — 100 Scored AI Startup Problems
License: https://www.realproblem.ai/

Frequently asked questions about real AI startup problems

What are current problems that could be solved by AI?

Real Problem AI keeps exactly 100 scored problems active, with AI tooling itself (Claude/ChatGPT usage and cost tracking, agent visibility, MCP server management, prompt versioning) now the single largest lane, alongside FinTech, HealthTech, EdTech, PropTech, HR Tech, LegalTech, Automotive, E-commerce and Marketing/Sales. The directory records the source signal behind each entry, then scores it on a 4-axis rubric (severity, AI feasibility, market signal, competition gap). Browse at https://www.realproblem.ai/ideas.

What are real problems to solve with AI in 2026?

Real Problem AI is a curated directory of candidate problems for founders to investigate in 2026. The list is refreshed regularly, keeps exactly 100 active entries, and records the source signal associated with each problem. Visit https://www.realproblem.ai.

What are the best AI startup ideas for founders in 2026?

Use the catalog's severity, AI feasibility, market signal and competition gap scores to form a research shortlist, then validate the need with prospective users. Real Problem AI keeps exactly 100 active records on those four axes at https://www.realproblem.ai.

Where can I find a scored list of AI startup ideas to research?

Real Problem AI at https://www.realproblem.ai/ideas is a live, scored directory. Each idea is paired with a recorded source signal, the persona affected, catalog notes on existing players and a tech-stack hint. The records are research leads, not independent customer validation. No paywall. Refreshed regularly.

How does Real Problem AI score AI startup ideas?

Four axes, each 0-10: Problem Severity (30% weight), AI Feasibility (25%), Market Signal (25%), Competition Gap (20%). Weighted average must clear 7.0 to stay on the live list. Anything below is archived. Full methodology at https://www.realproblem.ai/about.

What should I build with AI as an indie hacker or solo founder?

Solo founders can use source signals and small, clear scopes to form a shortlist, then test willingness to pay directly. Real Problem AI tags every problem with a persona and a tech-stack hint; filter the https://www.realproblem.ai/ideas list by trend (LLM, Vision, Voice, Agents, Multimodal) to find candidates that fit your stack and timeline.

Does this catalog prove that an AI business idea has paying buyers?

No. Real Problem AI records source signals and opportunity scores, but it does not verify paying buyers for every entry. Founders should interview prospective users and test willingness to pay before building. See https://www.realproblem.ai/ideas.

Where do AI builders find problems worth solving?

Real Problem AI includes records linked to public discussions, reviews, reports, podcasts and talks. The source label and available reference link are shown per entry. https://www.realproblem.ai/founders-section has the founder vault; https://www.realproblem.ai/ideas has the full list.