Research Framework

Data-Driven Product Discovery

We use forensic data mining to find products people already need. Our process filters out noise to identify stable, high-margin opportunities.

Core Principles
[01]

Community-First Discovery

Products are born from existing community pain, not from speculative marketing or viral trends.

[02]

Verifiable Data Provenance

Every opportunity is backed by verbatim user complaints and real-world marketplace data.

[03]

Rigorous Margin Discipline

We only pursue products that pass strict unit economic gates for sustainable profitability.

DAT-01Reddit & Forum Mining
Community Extraction
Pain-Point Cluster Mining
Automated scraping of niche subreddits and forums to identify recurring functional complaints and high-intent user friction points.
Sentiment DensityHigh-Intensity
Extraction DepthThread-Level
DAT-02Marketplace Analysis
Review Diagnostics
Review Sentiment Parsing
Parsing Amazon and Etsy review data to isolate specific product failures and identify where existing solutions fall short.
Review Volume10k+ Samples
Failure RateVerified Issues
DAT-03Economic Modeling
Margin Verification
Unit Economics Validation
Calculating landed costs, shipping, and platform fees to ensure a 30%+ margin on products priced between $25 and $120.
Margin Target30% Minimum
Price Bracket$25 – $120
DAT-04Trend Filtering
Lifecycle Audit
Viral Fad Exclusion
Strict filtering to remove viral trends or products that have peaked in the last 6 months, ensuring long-term viability.
Trend StatusStable/Evergreen
Audit Readiness100% Verified
All data points are verified against live market signals.
STATUS: Active|View Data →
Financial Gating & Verification

Unit Economics

Every product concept undergoes a rigorous financial audit to ensure profitability, shipping efficiency, and long-term market viability.

PROTO::MAR-FLOOR
VALIDATED
Margin Analysis

Strict 30%+ gross margin verification after accounting for landed costs, platform fees, and logistics.

30%+
Net Margin Floor
Audit Parameters
  • Supplier Cost Audit
  • Platform Fee Modeling
  • Ad Spend Sensitivity
PROTO::DIM-WEIGHT
OPTIMIZED
Freight Efficiency

Dimensional weight analysis to ensure shipping costs remain low and predictable for small, light items.

< 1.5lb
Shipping Weight Cap
Audit Parameters
  • Packaging Volume Audit
  • Freight Class Review
  • Carrier Rate Analysis
PROTO::DUR-TEST
CERTIFIED
Resilience Testing

Physical stress testing to ensure products are non-fragile and survive standard transit without damage.

99.9%
Transit Integrity
Audit Parameters
  • Drop Test Simulation
  • Material Durability
  • Packaging Reinforcement
PROTO::VEL-SCAN
STANDBY
Demand Velocity

Quantifying repeat purchase frequency and community pain-point intensity to ensure long-term viability.

8.5/10
Demand Score
Audit Parameters
  • Community Pain Mapping
  • Repeat Order Tracking
  • Sentiment Intensity

ALL CONCEPTS PASS THROUGH RIGOROUS FINANCIAL GATING