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 does my AppFolio rent ledger never match what tenants actually paid?

Property managers waste hours reconciling AppFolio ledgers against bank deposits because partial payments, NSF reversals, and late fees post out of order.

Category: PropTech / Real Estate · Trend: Agents · Opportunity score: 8.0 / 10

What is the “Why does my AppFolio rent ledger never match what tenants actually paid?” problem in 2026?

Property managers waste hours reconciling AppFolio ledgers against bank deposits because partial payments, NSF reversals, and late fees post out of order.

Who has this problem?

Small-portfolio property manager (50 to 300 units) using AppFolio.

Recorded source context

Dataset source note: The ledgers are a nightmare to reconcile when tenants pay partial amounts. I spend hours every month trying to figure out what was actually paid versus what the system thinks.

This note may summarize the referenced material rather than quote it verbatim. Source label: r/Landlord thread on AppFolio user experience and reconciliation..

Existing players in this space

AppFolio Smart Bill Entry: OCR for vendor bills, not tenant ledger reconciliation.
Stessa: Owner accounting, not PM-grade ledger repair.

What existing players are missing

An agent that ingests the AppFolio ledger export plus a bank CSV, matches partial payments to charges, flags NSF reversals, and posts corrective journal entries.

How Real Problem AI scores this opportunity

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

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

How to build a solution: stack hints

Claude tool use for ledger logic
Plaid for bank feed
Postgres for match state
Next.js dashboard

Why this problem is archived

Swapped out in AI-tool-builder content refresh (2026-08-26): generic vertical problem replaced by a more current, builder-relevant one.