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 is my car still selling my driving data after I switched off every setting I could find?

Drivers turn off connected services and delete the companion app, then find their mileage and trips still show up at data brokers and history reports, with no way to see what the car sends or to whom.

Category: Automotive & Mobility · Trend: Agents · Opportunity score: 7.3 / 10

What is the “Why is my car still selling my driving data after I switched off every setting I could find?” problem in 2026?

Who has this problem?

Privacy-minded car owners, used car buyers and sellers, and anyone whose insurance price could move on data they never agreed to share.

Recorded source context

Dataset source note: I can only assume the telemetry was still dialing home and selling to third parties despite my best efforts to disable it.

This note may summarize the referenced material rather than quote it verbatim. Source label: Hacker News discussion of a column on car data sold to third parties, 13 September 2026, 483 points, 262 comments. (primary source).

Existing players in this space

Privacy4Cars Vehicle Privacy Report: Explains what a given make and model collects in general, not what your own car has sent.
LexisNexis consumer disclosure request: Lets you request the file a broker holds on you, by a slow manual request with no follow-up.
Automaker connected services settings: Opt-outs are spread across the app, the head unit and the account, and the thread shows data still leaking after all three.

What existing players are missing

A guided tool that, for one specific VIN, lists every opt-out path for that brand, files the data access and deletion requests with the automaker and the known brokers, tracks the replies, and checks history reports later to show whether the data actually stopped.

How Real Problem AI scores this opportunity

Aggregate score: 7.3 / 10. Four-axis rubric:

Problem severity: 7 / 10
AI feasibility today: 6 / 10
Market signal: 9 / 10
Competition gap: 7 / 10

How to build a solution: stack hints

Agent that drafts and files privacy and deletion requests
Per-brand opt-out knowledge base
VIN decoding and history report checks
Request tracking with reminders