Analysis updated 2026-05-18
Browse 1,200+ current tech internship listings in one place, organized by Software Engineering, AI/ML, or Hardware.
Track your own internship applications and see how many days have passed since you applied to each company.
Fork the repo to get your own copy that auto-refreshes listings five times a day without any local setup.
| suryaharikrishnan/internship-tracker | a-bissell/unleash-lite | abhiinnovates/whatsapp-hr-assistant | |
|---|---|---|---|
| Stars | 1 | 1 | 1 |
| Language | Python | Python | Python |
| Setup difficulty | easy | hard | hard |
| Complexity | 1/5 | 4/5 | 3/5 |
| Audience | general | researcher | developer |
Figures from each repo's GitHub metadata at analysis time.
Internship Tracker is a GitHub repository that collects and deduplicates software engineering, AI/ML, data science, hardware, quantitative finance, and product management internship listings from multiple community-maintained sources. It targets people searching for Summer 2026 and Summer 2027 internships or new graduate roles in tech. Listings are refreshed five times per day via GitHub Actions, and the repo showed 1,213 active listings at the time of the last recorded update. The listings are organized into categories: Data Science/AI/ML (434 active), Software Engineering (389), Hardware Engineering (189), Quantitative Finance (68), Product Management (22), and other roles. Each category is a separate markdown file. A daily digest folder shows what listings are new and which have closed since the previous update. Beyond browsing, the repo also provides a personal application tracker. After forking the repo, you can run a Python script to record each application you submit, including the company name, role, date applied, and status. A separate file called APPLICATIONS.md is generated from this data and automatically includes a column showing how many days have passed since you applied to each company, making it easy to see which applications have gone quiet. The aggregation script pulls data from three source repositories, merges the listings, and deduplicates them by company name, role title, and location. Source credits are listed in ATTRIBUTION.md. The project uses Python and GitHub Actions and runs automatically on any fork, so you do not need to run anything locally to keep listings current. No open-source license is specified in the README.
A daily-updated GitHub repo aggregating 1,200+ active tech internship and new-grad job listings across Software Engineering, AI/ML, and Hardware, with a built-in personal application tracker.
Mainly Python. The stack also includes Python, GitHub Actions, Markdown.
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly general.
This repo across BitVibe Labs
Verify against the repo before relying on details.