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 do Mercari and Poshmark buyers ask the same five questions on every listing?

Resellers on Mercari, Poshmark, and Depop answer identical questions about measurements, condition, and shipping dozens of times a day across platforms.

Category: E-commerce & Retail · Trend: Agents · Opportunity score: 8.8 / 10

What is the “Why do Mercari and Poshmark buyers ask the same five questions on every listing?” problem in 2026?

Resellers on Mercari, Poshmark, and Depop answer identical questions about measurements, condition, and shipping dozens of times a day across platforms.

Who has this problem?

Multi-platform reseller listing 20 to 200 items per week.

Evidence this problem is real

“Every single buyer asks measurements, condition, and will I take 10 dollars off. I answer the same five questions 40 times a day across Mercari, Poshmark, and Depop and it is killing me.”

Sourced from r/Mercari threads on repetitive buyer questions across platforms.

Existing players in this space

Vendoo — Cross-list, no buyer messaging.
List Perfectly — Listing only, not chat.

What existing players are missing

Unified inbox across Mercari, Poshmark, Depop, eBay with a listing-aware AI that drafts replies pulling measurements and condition from the listing itself.

How Real Problem AI scores this opportunity

Aggregate score: 8.8 / 10. Four-axis rubric:

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

How to build a solution: stack hints

Playwright for platform inboxes
Claude with listing context
Vector store per listing
React Native mobile app