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 I have to update the same menu by hand on DoorDash, Uber Eats, and Grubhub every week?

Restaurants keep three or more delivery menus in sync by hand, so prices drift, sold-out items stay live, and new items get forgotten on one app, costing sales and refunds.

Category: E-commerce & Retail · Trend: Agents · Opportunity score: 6.8 / 10

What is the “Why do I have to update the same menu by hand on DoorDash, Uber Eats, and Grubhub every week?” problem in 2026?

Restaurants keep three or more delivery menus in sync by hand, so prices drift, sold-out items stay live, and new items get forgotten on one app, costing sales and refunds.

Who has this problem?

Independent restaurant owners and small multi-location operators on third-party delivery.

Evidence this problem is real

“We get the order, we made the food, but nobody comes to pick it up. That's losses on us.”

Sourced from Entrepreneur, restaurant delivery-fee and menu-management reporting; Toast Central menu-sync support docs. (link)

Existing players in this space

Otter / Cuboh / Chowly: Aggregators exist but pricey and clunky for single sites
POS-native sync (Toast, Square): Breaks on time-based pricing and per-platform quirks
Manual dashboard edits: Error-prone, no live 86 propagation

What existing players are missing

A cheap single master-menu controller that pushes prices, hours, and 86'd items across every delivery app instantly, auto-adjusts per-platform markups to dodge algorithmic penalties, and confirms each change actually landed.

How Real Problem AI scores this opportunity

Aggregate score: 6.8 / 10. Four-axis rubric:

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

How to build a solution: stack hints

Master menu model with per-platform mapping
Delivery-platform APIs plus browser fallback
Real-time 86 and price propagation
Post-push verification

Why this problem is archived

Trimmed to 100-cap (lowest opportunity_score)