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 does onboarding a new hire mean 40 emails, 12 logins, and a stack of PDFs nobody reads?

First-week onboarding is a chaotic email + DocuSign + Notion-link mess; new hires feel lost and HR re-explains the same things.

Category: HR Tech & Recruiting · Trend: Agents · Opportunity score: 7.8 / 10

What is the “Why does onboarding a new hire mean 40 emails, 12 logins, and a stack of PDFs nobody reads?” problem in 2026?

First-week onboarding is a chaotic email + DocuSign + Notion-link mess; new hires feel lost and HR re-explains the same things.

Who has this problem?

HR ops at 20-500 person companies; new hires themselves.

Evidence this problem is real

“Day one: 40 unread Slacks, an I-9 link that 404'd, and a benefits PDF from 2021. I sat there for 3 hours.”

Sourced from r/humanresources, r/AskHR, BambooHR App Store reviews.

Existing players in this space

BambooHR
Rippling
Gusto
Sapling
Enboarder

What existing players are missing

A new-hire-facing chat agent that knows your handbook, benefits, payroll, IT, and team org chart and answers questions in context, instead of HR fielding the same 30 questions per hire.

How Real Problem AI scores this opportunity

Aggregate score: 7.8 / 10. Four-axis rubric:

Problem severity: 7 / 10
AI feasibility today: 9 / 10
Market signal: 8 / 10
Competition gap: 6 / 10

How to build a solution: stack hints

RAG over handbook, benefits SPDs, IT setup docs
Slack-native chat agent
Provisioning checklist with auto-status
HR escalation for sensitive topics

Why this problem is archived

Capped at 100 per editorial policy; lower-score entries rotate to archive.