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 am I answering the same Wi-Fi and check-in questions for the 200th time as an Airbnb host?

Short-term-rental hosts lose 2 to 4 hours a day repeating Wi-Fi passwords, check-in codes, and parking instructions, and template autoresponders fire the wrong answer at the wrong moment.

Category: PropTech / Real Estate · Trend: Voice · Opportunity score: 6.4 / 10

What is the “Why am I answering the same Wi-Fi and check-in questions for the 200th time as an Airbnb host?” problem in 2026?

Short-term-rental hosts lose 2 to 4 hours a day repeating Wi-Fi passwords, check-in codes, and parking instructions, and template autoresponders fire the wrong answer at the wrong moment.

Who has this problem?

Airbnb and Vrbo hosts and small property managers running a handful of units.

Evidence this problem is real

“repeat the same answers again and again”

Sourced from TechBullion, 'AI in Short-Term Rentals' 2026 guest-communication feature. (link)

Existing players in this space

Hospitable / Hostaway: Rule-based templates, no real context awareness
Airbnb scheduled messages: Fire on time, not on what the guest actually asked
Human co-hosts: Expensive, take a revenue cut

What existing players are missing

An assistant that reads the actual message, knows the specific listing's Wi-Fi, codes, and quirks, answers in the host's voice, and escalates only the genuinely non-routine cases. Cheap enough for a two-property host.

How Real Problem AI scores this opportunity

Aggregate score: 6.4 / 10. Four-axis rubric:

Problem severity: 6 / 10
AI feasibility today: 8 / 10
Market signal: 7 / 10
Competition gap: 4 / 10

How to build a solution: stack hints

Per-listing knowledge base
Intent-aware reply generation
PMS/Airbnb inbox integration
Escalation routing for edge cases

Why this problem is archived

Trimmed to 100-cap (lowest opportunity_score)