Build what the market is already paying to fix.

EXHIBIT BMarketing OperationsCRM deal table view

No-code company dashboards, no data team needed

Non-technical founders and operators want a simple dashboard showing revenue, churn, and key metrics, but connecting Stripe, database, and analytics tools requires SQL, ETL pipelines, and data modeling. The tools that promise 'no-code analytics' all require data engineering to set up.

CI92

Conf88%

Trend+22.7%

Deal table view with email and calendar dates

Sales users want a CRM that shows each deal in a table with columns for the date of the last email and the date of any upcoming calendar event. Existing CRMs like Pipedrive, HubSpot, and Affinity lack this view, forcing users to switch between screens or keep manual notes. This gap creates inefficiency and missed follow‑ups for sales teams.

CI90

Conf85%

EXHIBIT CData / AnalyticsDuplicate data

Cross-tool data dedupe for analytics you can trust

Marketing finds 10,000 leads in HubSpot, sales sees 9,500 in Salesforce, and the data warehouse shows 11,000. Nobody knows which number is correct. Resolving duplicates across systems is a manual, never-ending process that erodes trust in data-driven decisions.

CI88

Conf84%

Trend+15.9%

EXHIBIT DMarketing OperationsCRM setup and sales pipeline management

Fast setup CRM for small sales teams

Sales teams and founders are frustrated by CRM implementations that take weeks before they can support the sales process. They need an affordable CRM that is quick to launch, easy to use, and focused on helping reps close deals rather than adding setup overhead.

CI88

Conf82%

EXHIBIT ESecurity / ComplianceAudit logs

Drop-in audit logging that survives incidents

When a security incident happens, companies discover their audit logs are incomplete, inconsistently formatted, or were never being collected for the service that got breached. The logs that exist are scattered across CloudWatch, DataDog, and database tables with no correlation ID.

CI86

Conf82%

Trend+12.1%

EXHIBIT FData / AnalyticsETL

EXHIBIT GData / AnalyticsBI tools

The mid-market ETL tool between Fivetran and Airflow

Companies outgrowing Fivetran/Stitch's limitations (cost, transformation capability) face a massive jump to Airflow/dbt. The middle ground, affordable, managed ETL with basic transformations, doesn't exist. You either pay $500/mo for Fivetran or hire a data engineer.

CI83

Conf80%

Trend+11.6%

EXHIBIT HData / AnalyticsSpreadsheet bottlenecks

Conversational analytics anyone can use, no SQL

Companies buy Tableau, Looker, or Power BI, and 3 months later only 2 people in the company can build reports. The rest of the team goes back to asking the data team for Excel exports. BI tools are built for analysts, not business users, despite the marketing claims.

CI80

Conf77%

Trend+8.9%

Spreadsheet flexibility with real database power

Despite billions invested in modern BI tools, business users still export everything to Excel for 'real analysis.' The reason: Excel gives them control and flexibility that SaaS BI tools don't. But Excel leads to version chaos, broken formulas, and unreproducible analysis.

CI77

Conf74%

Trend+5.3%

EXHIBIT IDev Tools / SaaS InfrastructureAI Video Processing

Affordable AI Video Enhancer for Creators

Creators face high costs and overprocessed results from tools like Topaz. Aiarty Video Enhancer offers comparable features at a one-time purchase price with natural output. This addresses budget constraints and quality concerns in content creation.

CI60

Conf80%

EXHIBIT JE-commerceJewelry and Body Art

Ear piercing visualization tool for jewelry buyers

High-end jewelry consumers struggle to visualize how new piercings and pieces will complement their existing curation. The lack of a preview tool leads to financial risk and dissatisfaction after permanent piercing procedures.

CI60

Conf80%

See this week’s 10 gaps, free Or unlock all 50 in the report for $79

EXHIBIT KFinance / Accounting

EXHIBIT LNo-Code / Automation

EXHIBIT MDev Tools / SaaS Infra

§04Examiner’s note

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?

Jerry PlymouthFounder & Curator

Read the full note & methodology

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§06Questions on file

Frequently asked

Is PainMiner a GummySearch alternative?: Yes. GummySearch shut down in 2025 after it couldn't license Reddit's API. PainMiner reads six independent sources - Reddit, Hacker News, Trustpilot, Stack Exchange, niche forums, and X - so it doesn't depend on any single platform, and it surfaces demand that Reddit-only tools miss.
Where does the data come from?: Public complaints, bug reports, and feature requests across Reddit, Hacker News, Trustpilot, Stack Exchange, niche forums, and X. Every opportunity links back to its original sources.
How is this different from a list of startup ideas?: Idea lists are guesses. PainMiner gives you scored evidence of real demand - commercial intent, confidence, and willingness-to-pay - plus a validation playbook (communities to post in, DM scripts, and a survey) so you confirm demand before you build.
How fresh is the data?: It's refreshed weekly. The Top 10 and the full database update every Monday, so you're always working from current demand.
Do I have to pay to start?: No. Start free with this week's gaps and a free account. The full searchable database is a monthly subscription (plans from $49/mo), or you can buy the one-time 50-gap report for $79.

§07The weekly dispatch

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PainMiner / Field Dossier

2026·W24·135 gaps logged·6 sources

10 commercial niches6 sourcesrefreshed weekly

Build what the market is already paying to fix.

Start freeSee this week’s gaps, free →

Verified

Case fileN° 2026·W24

Niches tracked: 10
Gaps logged / wk: 50+
Pipeline: 2-pass + human
Sourcing: 100% linked

Curated & signed off by Jerry Plymouth

§01Why PainMiner: single-source tools break

Reddit-only idea tools keep getting switched off.

Each source is deduplicated, scored for willingness-to-pay, and curated by a human before it reaches you. No single point of failure, no raw firehose.

Sources we mine

Reddit
Hacker News
Trustpilot
Stack Exchange
Forums
X

Six independent inputs, deduped, scored, and curated into one evidence file.

§02The method: from frustration to filed opportunity

01COLLECT

We listen to the evidence

02CLASSIFY

We score the signal

A two-pass LLM pipeline strips the noise, then scores commercial intent (0 to 100), emotional intensity, confidence, and willingness-to-pay, so weak rants never reach you.

03VALIDATE

You build with proof

Only gaps that clear the bar are approved by Jerry Plymouth, each filed with a validation playbook (communities, DM scripts, a survey) so you confirm demand before writing code.

§03The evidence: sample exhibits

Ten declassified exhibits. Sign up free to open the full files in your dashboard. The gap to build and the validation playbook unlock with a plan.

EXHIBIT AData / AnalyticsDashboards