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 need to pay yet another SaaS for my AI agent to send an email?

Every AI agent stack ends up paying $20-100/mo for Resend or Postmark to send transactional email, plus a separate tool for replies, plus a separate tool for thread tracking.

Category: Marketing, Sales & CRM · Trend: Agents · Opportunity score: 6.7 / 10

What is the “Why do I need to pay yet another SaaS for my AI agent to send an email?” problem in 2026?

Every AI agent stack ends up paying $20-100/mo for Resend or Postmark to send transactional email, plus a separate tool for replies, plus a separate tool for thread tracking.

Who has this problem?

Indie founders shipping AI SDRs, support bots, scheduling agents.

Recorded source context

Dataset source note: I want my agent to send 50 sales emails a day from my domain. I'm now paying for Resend + Postmark + Apollo + Smartlead. Why is this 4 vendors?

This note may summarize the referenced material rather than quote it verbatim. Source label: Indie Hackers "the email tax" threads, Hacker News deliverability discussions, Postmark/Resend onboarding tickets..

Existing players in this space

Resend: Sending only
Postmark: Sending + replies, but no AI hooks
Smartlead: Cold email focused, not agent friendly

What existing players are missing

An agent-native email layer: send, receive, thread, classify, and call back into the agent in one SDK with a single bill. Built-in warm-up and deliverability scoring.

How Real Problem AI scores this opportunity

Aggregate score: 6.7 / 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

SMTP + IMAP infra
Domain warm-up scheduler
Thread classifier (LLM)
Agent webhook SDK