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 a ₹50 Cr Indian D2C brand have no affordable path to DPDP consent compliance?

Compliance vendor quotes start at ₹15-40 lakh/year SaaS or ₹28-80 lakh on-prem; only India-incorporated entities with ₹2 Cr net worth can register as consent managers; max penalty ₹250 Cr per violation.

Category: E-commerce & Retail · Trend: Agents · Opportunity score: 8.7 / 10

What is the “Why does a ₹50 Cr Indian D2C brand have no affordable path to DPDP consent compliance?” problem in 2026?

Who has this problem?

20-200 person Indian D2C and e-commerce companies (Shopify / WooCommerce) with 100k+ customer records, facing the Nov 13 2026 consent-manager registration deadline and May 13 2027 full enforcement.

Recorded source context

Dataset source note: DPDP compliance retainers are ₹15-40 lakh per year for the long tail of D2C brands who are below DPO threshold but still data fiduciaries.

This note may summarize the referenced material rather than quote it verbatim. Source label: Inc42 + Hogan Lovells + Adgully on DPDP Consent Manager Rules (reference).

Existing players in this space

Digio: Enterprise consent platform, ₹15L+/yr; 6-12 week implementation.
Leegality: Document signing + workflow; not consent-manager registered.
KavachOne: Privacy-tech vendor; targets ₹500Cr+ enterprises.
Secure Privacy: Cookie-consent SaaS; doesn't meet DPDP consent manager spec.

What existing players are missing

A Shopify / WooCommerce / Razorpay one-click consent-manager plugin priced ₹50k-2L/yr, India-incorporated SPV that holds the consent manager license, audit log baked in.

How Real Problem AI scores this opportunity

Aggregate score: 8.7 / 10. Four-axis rubric:

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

How to build a solution: stack hints

Shopify + WooCommerce app SDK
Razorpay webhook hook
Consent ledger + DSR portal
Audit + breach-notification flow