Build Ideas

Search 2,000 digital products and projects from Product Hunt and Hacker News to find what gets traction and what to build next.

What Gets Traction

Statistically significant patterns across 2,000 digital products and projects.

Value
time saving
+53 median engagement · 594 projects · p=0.000
Category
outcome
+48 median engagement · 1000 projects · p=0.000
Category
content creation
+38 median engagement · 313 projects · p=0.001

Where Engagement Lags

These areas have significantly lower engagement — crowded or poorly positioned.

Category
education training
-151 median engagement · 150 projects · p=0.000
Value
creativity
-147.5 median engagement · 158 projects · p=0.000
Category
security
-142 median engagement · 41 projects · p=0.048
Value
security
-69 median engagement · 81 projects · p=0.038

Or browse all data with advanced filters.

How This Works

Data Collection

Top 1,000 digital products and projects each from Product Hunt (by votes) and Hacker News (Show HN posts) over the past 12 months.

AI Classification

Claude Sonnet 4.5 classified each project by pain category, value type, build complexity, and target audience.

Statistical Analysis

Mann-Whitney U tests identify which traits correlate with significantly higher or lower engagement (p < 0.05).

Opportunity Scoring

Products scored by demand signal, build feasibility, and outcome framing to surface the strongest build ideas.

Data sourced from public APIs. Classification by Claude Sonnet 4.5. Analysis by RegionPulse.