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 every mechanic quote feel like a different number for the same problem?

Drivers get wildly different repair quotes (often 2-4x apart) for the same diagnostic and have no way to know what's fair.

Category: Automotive & Mobility · Trend: Multimodal · Opportunity score: 8.8 / 10

What is the “Why does every mechanic quote feel like a different number for the same problem?” problem in 2026?

Drivers get wildly different repair quotes (often 2-4x apart) for the same diagnostic and have no way to know what's fair.

Who has this problem?

Car owners outside warranty, especially women and first-time owners who report being upcharged.

Recorded source context

Dataset source note: Three shops quoted me $480, $920, and $1,650 for the same control arm. RepairPal's 'fair price' was $610. Who do I trust?

This note may summarize the referenced material rather than quote it verbatim. Source label: r/MechanicAdvice, r/AskMechanics, r/cars..

Existing players in this space

RepairPal (price ranges only)
CarMD
YourMechanic
OpenBay (struggling)

What existing players are missing

Upload the written quote + a photo/video of the issue + your VIN; get a line-by-line audit ("this labor time is 1.4 hr per AllData, they billed 3.0", "this part is OEM, aftermarket equivalent is $80 less") and a counter-script.

How Real Problem AI scores this opportunity

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

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

How to build a solution: stack hints

Vision OCR for shop quote PDFs
AllData / Mitchell labor-time API
VIN decode + parts catalog (RockAuto, PartsTech)
LLM negotiation script generator