Don't guess what to build.
See what the top 1% of developers are actually shipping.
Why I Built GitTech.
I built GitTech to productize open-source market research. Instead of spending weeks manually tracking GitHub trends and repository launches, I've archived every single meaningful software release into high-resolution GitHub Intelligence Volumes. This is the definitive map of the current developer market.
The Monthly Archives.
The complete chronological record of software launches. Each month contains thousands of data points and hourly launch trends, archived in high-resolution for historical market research. Open Analytics for a live breakdown or Download the full volume for deep-dive research.
Free Intelligence Samples.
I provide full access to select historical volumes to demonstrate the depth of our market research. Download the following archives at no cost:
April 2026.
Archive Volume(1859 repositories logged)
Market activity peaked on Day 2026-04-03 with 122 launches, while the lowest active point was Day 2026-04-22 with 6 projects.
March 2026.
Archive Volume(3542 repositories logged)
Market activity peaked on Day 2026-03-08 with 176 launches, while the lowest active point was Day 2026-03-28 with 76 projects.
February 2026.
Archive Volume(3347 repositories logged)
Market activity peaked on Day 2026-02-28 with 151 launches, while the lowest active point was Day 2026-02-01 with 81 projects.
January 2026.
Archive Volume(3077 repositories logged)
Market activity peaked on Day 2026-01-06 with 131 launches, while the lowest active point was Day 2026-01-01 with 19 projects.
Special Intelligence Volumes.
Thematic deep-dives into the most profitable software niches. Each volume contains years of curated launch data, trend analysis, and verified domains for specific categories like AI, Design, and Mobile.
AI & Machine Learning.
Thematic Collection(3930 repositories logged)
Market activity was concentrated at 1194 launches on Mar.
Design & UI/UX.
Thematic Collection(1649 repositories logged)
Market activity was concentrated at 448 launches on Mar.
Open Source (OSS).
Thematic Collection(1647 repositories logged)
Market activity was concentrated at 469 launches on Mar.
Analytics & BI.
Thematic Collection(1017 repositories logged)
Market activity was concentrated at 283 launches on Mar.
Mobile & iOS/Android.
Thematic Collection(811 repositories logged)
Market activity was concentrated at 219 launches on Mar.
Hosting & Cloud.
Thematic Collection(615 repositories logged)
Market activity was concentrated at 180 launches on Mar.
Tech Stack Intelligence Volumes.
Ecosystem-level research segmented by the tools builders are actually shipping with. Each volume isolates repositories by their core technology — TypeScript, Python, Rust, Docker, LLMs, and more.
TypeScript.
Ecosystem Intelligence(2351 repositories logged)
Market activity was concentrated at 716 launches on Mar.
Go / Golang.
Ecosystem Intelligence(665 repositories logged)
Market activity was concentrated at 191 launches on Feb.
Rust.
Ecosystem Intelligence(596 repositories logged)
Market activity was concentrated at 177 launches on Feb.
Python.
Ecosystem Intelligence(576 repositories logged)
Market activity was concentrated at 167 launches on Jan.
Swift.
Ecosystem Intelligence(322 repositories logged)
Market activity was concentrated at 94 launches on Mar.
JavaScript.
Ecosystem Intelligence(319 repositories logged)
Market activity was concentrated at 93 launches on Feb.
Product Specifications.
Each intelligence volume is delivered as a compressed archive containing the following verified assets:
- index.html: A standalone interactive dashboard to search, filter, and browse the GitHub data offline.
- data.csv: The raw dataset (ID, Repository, Title, Timestamp) formatted for direct import into Excel, Google Sheets, or Airtable.
- raw_data.json: The full developer-ready JSON array for custom automation, script processing, and LLM ingestion.
- summary.json: Pre-calculated metadata including hourly shipping velocity and daily launch totals.
- README & LICENSE: Technical documentation and a personal/commercial use license for the data.
How to Use This Intelligence.
I archive these launches because they provide a definitive blueprint for your next project. Use these volumes to:
- Identify Stacks: See exactly which tools and libraries are dominating the current production landscape on GitHub.
- Reverse Engineer Success: Study the naming conventions and positioning used by repositories that successfully capture market attention.
- Master Shipping Velocity: Use the hourly trend data to see exactly when the global developer community is most active.
Stop starting from zero. Use real-world GitHub launch data to build your next product with a mathematical advantage.
Data Integrity.
This archive is updated every 15 minutes. My system monitors over 1,000 different GitHub and developer channels to ensure every important new project is captured, verified, and logged.
GitTech.