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 does my AI companion app cost the same as my rent?

Replika, Character.ai, Pi and Kindroid users pay $15-30/mo for memory + uncensored chat. Many spend $80-120/mo across multiple apps. Loneliness is monetised at SaaS margins.

Category: Others · Trend: LLM · Opportunity score: 7.7 / 10

What is the “Why does my AI companion app cost the same as my rent?” problem in 2026?

Replika, Character.ai, Pi and Kindroid users pay $15-30/mo for memory + uncensored chat. Many spend $80-120/mo across multiple apps. Loneliness is monetised at SaaS margins.

Who has this problem?

Heavy AI-companion users (20-40, often male, often isolated), plus families worried about a dependent member's spend.

Evidence this problem is real

“I'm spending $112/month across Character.ai, Replika Pro, and Kindroid because each remembers different things and I don't want to start over.”

Sourced from r/CharacterAI and r/replika spend-confession threads, App Annie revenue rankings for AI companion category (Q1 2026), Wired and The Verge coverage.

Existing players in this space

Replika — Closed memory, single character
Character.ai — Free tier capped, no portability
Open-source local models — Tech bar too high for the user

What existing players are missing

A portable AI-companion shell: bring-your-own-memory, swap LLM behind the scenes, run locally for privacy, single subscription. Also a healthier-usage layer with spend caps and outside-life nudges.

How Real Problem AI scores this opportunity

Aggregate score: 7.7 / 10. Four-axis rubric:

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

How to build a solution: stack hints

Open memory format (JSON-LD)
Local LLM (Llama 3, Qwen) runtime
Personality persistence layer
Healthy-use dashboards