Jerry Plymouth
Founder & Curator, PainMiner
“The best market research isn't asking people what they want. It's listening to what they're already screaming about.”
— Jerry Plymouth
About Jerry
After five years of building SaaS products - two that succeeded and three that didn't - Jerry Plymouth became obsessed with a foundational question: How do you know what to build before you build it?
The answer wasn't in startup Twitter threads or VC blog posts. It was buried in subreddits, forum threads, customer support tickets, and 1-star app reviews. Real people were describing real pain - money they were losing, hours they were wasting, tools they were begging someone to improve - and nobody was listening systematically.
PainMiner is the tool Jerry wished existed when validating his first SaaS idea. It continuously monitors public internet frustration across high-commercial-intent niches, applies a two-pass LLM classification pipeline to filter noise and score opportunity quality, and delivers curated, evidence-backed software gaps - with validation playbooks that tell you exactly how to test demand before writing a single line of code.
Every pain point in the database has been classified by machine and reviewed by a human. Every weekly Top 10 is hand-selected. Every validation playbook is written to be actionable in an afternoon. PainMiner isn't a raw data dump - it's a curated research service that happens to use great technology under the hood.
If you're a founder, indie hacker, agency lead, or product manager who wants to build with evidence instead of intuition, this was built for you.
How Pain Points Are Collected, Scored & Curated
A systematic pipeline that turns internet frustration into validated opportunities.
1. Continuous Collection
PainMiner's source adapters continuously monitor public posts, comments, and reviews from Reddit, Hacker News, and high-pain commercial forums. Every item is timestamped, source-tracked, and content-hashed for deduplication.
2. Two-Pass LLM Classification
A cheap, fast LLM (GPT-4o-mini or Haiku) pre-filters raw items - removing praise, jokes, and noise. Survivors are passed to a more capable model (GPT-4o) that scores commercial intent, emotional intensity, confidence, and willingness-to-pay on a 0-100 scale with a structured output schema.
3. Human Curation
Every high-scoring pain point is reviewed by Jerry Plymouth. He approves, rejects, adds notes, refines categories, and enriches each opportunity with target persona analysis, existing solution gaps, and validation playbooks. This human-in-the-loop step is what separates PainMiner from raw data scrapers.
4. Validation Playbooks
Each approved pain point (Pro tier+) includes a one-page validation playbook: the top 3 subreddits to post in, 5 cold DM scripts to reach people experiencing the pain, and a Tally form template for demand testing. Builders can validate an opportunity in an afternoon.
5. Trend Tracking
Pain points are tracked over time - trend velocity, frequency signaling (viral/common/emerging), and cluster grouping reveal which opportunities are accelerating. The weekly Top 10 and curator digest surface the highest-signal SaaS gaps before they become crowded.
The Curator's Promise
Every opportunity in PainMiner has been validated through these criteria:
Public frustration from real users (not surveys, not startup idea lists)
Commercial intent scored by LLM and reviewed by human
A clearly defined target persona exists for the problem
Existing solutions are identified and gaps are articulated
A validation playbook is attached for immediate demand testing
The complaint is recurring - not a one-off rant
“The best market research isn't asking people what they want. It's listening to what they're already screaming about.”
— Jerry Plymouth
Ready to build with evidence?
Start with the free weekly Top 10, or unlock the full database with a subscription.