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 do ChatGPT Pro subscribers have to pay twice just to use their own plan inside another coding tool?

Third-party AI coding tools only accept API-billed usage, so a $200/month ChatGPT Pro subscriber still has to open a second, separate metered billing account for the same underlying model.

Category: AI / Agents · Trend: LLM · Opportunity score: 7.0 / 10

What is the “Why do ChatGPT Pro subscribers have to pay twice just to use their own plan inside another coding tool?” problem in 2026?

Third-party AI coding tools only accept API-billed usage, so a $200/month ChatGPT Pro subscriber still has to open a second, separate metered billing account for the same underlying model.

Who has this problem?

Developers who already pay for a ChatGPT Plus/Pro or Claude subscription and also use third-party coding agents.

Recorded source context

Dataset source note: Developers who already pay $200/mo for ChatGPT Pro (or Plus/Pro seats in a team) can't use those entitlements in Roo Code today... Roo only accepts API-billed usage, which forces a second meter for the same models. Users are paying twice.

This note may summarize the referenced material rather than quote it verbatim. Source label: RooCodeInc/Roo-Code GitHub issue #6993, 12 Aug 2025. (reference).

Existing players in this space

Separate API billing: Works, but duplicates cost for the same model access.
"Sign in with ChatGPT" OAuth (proposed): Not yet implemented across most third-party tools.

What existing players are missing

A broker layer that lets a subscription entitlement (ChatGPT Plus/Pro, Claude Max) authenticate into third-party tools via OAuth token exchange instead of forcing a second metered billing relationship.

How Real Problem AI scores this opportunity

Aggregate score: 7.0 / 10. Four-axis rubric:

Problem severity: 7 / 10
AI feasibility today: 6 / 10
Market signal: 7 / 10
Competition gap: 8 / 10

How to build a solution: stack hints

OAuth token exchange
Provider entitlement verification
Usage reconciliation across subscription + API
Third-party tool SDK integration