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 reps spend 15 hours a week updating Salesforce nobody trusts?

AEs/SDRs do 10-20 hrs/week of CRM hygiene producing data managers don't believe.

Category: Marketing, Sales & CRM · Trend: Voice · Opportunity score: 8.0 / 10

What is the “Why do reps spend 15 hours a week updating Salesforce nobody trusts?” problem in 2026?

AEs/SDRs do 10-20 hrs/week of CRM hygiene producing data managers don't believe.

Who has this problem?

B2B AEs, SDRs, CSMs at 20-500 person companies.

Evidence this problem is real

“I close 6 calls a day. CRM updates take longer than the calls.”

Sourced from r/sales, r/salesforce.

Existing players in this space

Gong
Chorus
Clari
Scratchpad
Avoma

What existing players are missing

Field-level write-back accurate enough that managers stop micromanaging, current tools auto-summarize calls but still require the rep to type "MEDDIC" fields by hand.

How Real Problem AI scores this opportunity

Aggregate score: 8.0 / 10. Four-axis rubric:

Problem severity: 9 / 10
AI feasibility today: 9 / 10
Market signal: 9 / 10
Competition gap: 5 / 10

How to build a solution: stack hints

Gong/Zoom transcript ingestion
Salesforce/HubSpot field-level write-back
LLM next-step planner
Pipeline anomaly Slack alerts

Why this problem is archived

Trimmed to 100-cap (lowest opportunity_score)