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.

My store went from 10 orders a week to 150 and fulfillment is burying me.

Solo ecommerce owners hit a volume wall where the pack-and-ship routine that worked at 10 orders a week collapses at 150, with no system in between manual and a full 3PL.

Category: E-commerce & Retail · Trend: Agents · Opportunity score: 7.3 / 10

What is the “My store went from 10 orders a week to 150 and fulfillment is burying me.” problem in 2026?

Solo ecommerce owners hit a volume wall where the pack-and-ship routine that worked at 10 orders a week collapses at 150, with no system in between manual and a full 3PL.

Who has this problem?

Solo and small-team Shopify and ecommerce owners past the hobby stage but pre-warehouse.

Evidence this problem is real

“When I launched my Shopify store I was doing maybe 10 orders a week and it was totally manageable. Now I am at like 150 orders a week and I am buried.”

Sourced from r/ecommerce, 2026: an owner describing the jump from 10 to 150 orders a week and drowning in fulfillment. (link)

Existing players in this space

3PLs (ShipBob, etc.): Overkill and margin-eating at 150 orders a week
ShipStation / Shippo: Print labels, do not orchestrate the whole flow
Doing it by hand after dinner: The routine that just broke

What existing players are missing

A lightweight fulfillment co-pilot that batches orders, picks the cheapest compliant label, flags stockouts and address issues, and tells the owner exactly when the economics say move to a 3PL.

How Real Problem AI scores this opportunity

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

Problem severity: 7 / 10
AI feasibility today: 7 / 10
Market signal: 8 / 10
Competition gap: 5 / 10

How to build a solution: stack hints

Order batching and pick-list generation
Multi-carrier rate shopping
Stockout and address validation
3PL-transition economics model

Why this problem is archived

Trimmed to 100-cap (lowest opportunity_score)