Find Your Gap. Publish Where Nobody Else Is.

Automated gap detection across scientific literature.

Why compete with 11 other papers when there's an adjacent topic nobody has touched? We analyze 250M+ papers to find structural gaps in your field's knowledge — combinations of methods, topics, and subfields that exist in neighboring areas but not in yours.

Free during beta. No spam. We'll email you when it's ready.

395
Gaps found in 10k papers
10 sec
vs months of lit review
26
Scientific fields covered
$0
During beta

Real Gaps Found Today

These are actual gaps detected from 10,000 recent papers via OpenAlex. Each one is a potential paper nobody has written.

Medicine > Genetics Surprise: 1088
No papers using Genome-wide association study methods. But Biochemistry & Molecular Biology has 16 papers using GWAS in Genetics.
68 papers in this subfield Method used in other fields
Medicine > Genetics Surprise: 544
No papers on Mendelian randomization. But Biochemistry has 8 papers applying MR to genetic studies.
68 papers in this subfield Causal inference method underused in medicine
Environmental Science > Industrial Manufacturing Surprise: 374
No papers on Industry 4.0 in environmental manufacturing. But Engineering has 11 papers on Industry 4.0 in this subfield.
34 papers in this subfield Cross-disciplinary opportunity
Engineering > Industrial Manufacturing Surprise: 381
No papers on Waste management from an engineering perspective. But Environmental Science has 3 papers combining waste management with manufacturing.
127 papers in this subfield Practical application gap
Medicine > Genetics Surprise: 476
No papers using Biobank data. But Biochemistry has 7 papers leveraging biobank data in genetic research.
68 papers in this subfield Data resource underutilized

How It Works

1
Pick your field
Select your area of research. We pull metadata from 250M+ papers across all sciences.
2
We find the gaps
Our algorithm detects method-topic-subfield combinations that exist in neighboring fields but not yours.
3
You publish first
Each gap is a potential paper with zero competition. We show you the neighboring papers so you can build on existing work.

Also Available: Database Whisper

The structural profiling engine that powers Gap Finder. Works on any dataset.

Profile any dataset in one line

pip install database-whisper

Point it at any CSV, SQLite, Excel, JSON, or Parquet file. It discovers the structural fingerprint, recommends indexes, and identifies data quality issues. Zero configuration. Zero dependencies.

GitHub  |  PyPI