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 every small US landlord chase rent over text and Venmo with no audit trail?

Independent landlords with 1 to 5 units chase tenants over SMS and Venmo, then cannot produce a clean ledger for taxes, evictions, or refinancing because the system is screenshots in a Notes app.

Category: PropTech / Real Estate · Trend: Agents · Opportunity score: 7.8 / 10

What is the “Why does every small US landlord chase rent over text and Venmo with no audit trail?” problem in 2026?

Independent landlords with 1 to 5 units chase tenants over SMS and Venmo, then cannot produce a clean ledger for taxes, evictions, or refinancing because the system is screenshots in a Notes app.

Who has this problem?

Independent landlord owning 1 to 5 rental units in the US.

Evidence this problem is real

“I have 4 doors and I am not paying $35 per door per month for Buildium. I track rent in Notes and screenshots of Venmo. Tax time I want to cry.”

Sourced from r/Landlord threads on rent tracking without enterprise PM software.

Existing players in this space

Buildium — $35+ per unit per month, built for 50+ door PMs.
Avail — Good but no AI reminders or Venmo/Zelle parsing.
RentRedi — App-first, no auto-ledger from existing payment methods.

What existing players are missing

An agent that ingests Venmo/Zelle/Cash App receipts via email forward, auto-builds a per-unit ledger, sends polite escalating SMS reminders in the landlord's voice, and exports a Schedule E ready PDF.

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: 7 / 10

How to build a solution: stack hints

Plaid plus Venmo email parser
Twilio SMS
Claude for reminder tone
PDF Schedule E generator

Why this problem is archived

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