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 does Indian D2C COD remittance reconciliation across Delhivery, Shiprocket, and Razorpay break every founder's books?

Shopify India brands running COD via Shiprocket get a weekly remittance netting delivered COD, RTO, fuel surcharge, and weight disputes, and it never matches Razorpay or Tally, so founders write off lakhs as unreconciled.

Category: FinTech · Trend: Agents · Opportunity score: 8.8 / 10

What is the “Why does Indian D2C COD remittance reconciliation across Delhivery, Shiprocket, and Razorpay break every founder's books?” problem in 2026?

Who has this problem?

Indian Shopify D2C founder doing 200 to 5000 orders per day.

Recorded source context

Dataset source note: Shiprocket sent me a remittance of 4.2 lakh on Monday but Shopify says I sold 6.8 lakh of COD that week. The difference is RTO, weight disputes, and orders they say were never delivered. I have given up reconciling it.

This note may summarize the referenced material rather than quote it verbatim. Source label: r/IndianStartups and IndieHackers India recurring COD remittance threads..

Existing players in this space

Shiprocket: Provides the remittance file, does not reconcile to Shopify or Tally.
EasyEcom: Inventory side, weak COD remittance line matching.
Zoho Books: No native COD courier remittance logic.

What existing players are missing

An agent that pulls Shopify orders, Shiprocket and Delhivery remittance files, Razorpay payouts, and matches three-way per order including weight disputes and RTO, with auto-raised weight-discrepancy claims back to the courier.

How Real Problem AI scores this opportunity

Aggregate score: 8.8 / 10. Four-axis rubric:

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

How to build a solution: stack hints

Shopify plus Shiprocket plus Delhivery plus Razorpay APIs
Per-order three-way match LLM
Weight discrepancy auto-claim browser agent
Tally journal posting