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 do Indian senior citizens handle ₹2Cr in savings on a paper passbook and a Nokia phone?

60+ Indian retirees with significant inherited / saved wealth (₹50L-₹5Cr) cannot use any current Indian fintech app; their kids end up running everything by hand.

Category: FinTech · Trend: AI Wrapper · Opportunity score: 8.0 / 10

What is the “Why do Indian senior citizens handle ₹2Cr in savings on a paper passbook and a Nokia phone?” problem in 2026?

60+ Indian retirees with significant inherited / saved wealth (₹50L-₹5Cr) cannot use any current Indian fintech app; their kids end up running everything by hand.

Who has this problem?

Indian senior citizens (60+) holding ₹50L+ in FDs, mutual funds, post-office savings, and rental income, with adult children abroad managing it informally.

Evidence this problem is real

“I do my parents' SIP and FD renewals from London, on five different bank apps, every quarter.”

Sourced from Indian fintech ops threads + r/IndiaInvestments senior-parent threads

Existing players in this space

Groww / Zerodha / ET Money — Built for the active investor; senior-citizen UX not a priority.
Bank apps — Each silo'd; no cross-bank consolidated view.
No one — Builds a senior-citizen-first interface with NRI-child shared access.

What existing players are missing

A senior-first finance dashboard with WhatsApp-based check-ins, voice summaries in their language, and shared read access for adult children abroad.

How Real Problem AI scores this opportunity

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

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

How to build a solution: stack hints

Account Aggregator (RBI)
WhatsApp Business API
Voice in Hindi/regional
Two-pane shared access (parent + child)