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suryaharikrishnan/internship-tracker

Analysis updated 2026-05-18

1PythonAudience · generalComplexity · 1/5Setup · easy

TLDR

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.

Mindmap

mindmap
  root((Internship Tracker))
    Listings
      Software Engineering
      AI and ML
      Hardware
      Quant Finance
    Features
      Daily auto-refresh
      Deduplication
      Daily digests
    Application tracking
      track.py script
      APPLICATIONS.md
      Days-since-applied
    Sources
      simplify-2026
      vanshb03-2026
      vanshb03-2027
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Code map

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What do people build with it?

USE CASE 1

Browse 1,200+ current tech internship listings in one place, organized by Software Engineering, AI/ML, or Hardware.

USE CASE 2

Track your own internship applications and see how many days have passed since you applied to each company.

USE CASE 3

Fork the repo to get your own copy that auto-refreshes listings five times a day without any local setup.

What is it built with?

PythonGitHub ActionsMarkdown

How does it compare?

suryaharikrishnan/internship-trackera-bissell/unleash-liteabhiinnovates/whatsapp-hr-assistant
Stars111
LanguagePythonPythonPython
Setup difficultyeasyhardhard
Complexity1/54/53/5
Audiencegeneralresearcherdeveloper

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · easy Time to first run · 5min

In plain English

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.

Copy-paste prompts

Prompt 1
How do I fork the Internship Tracker repo and start recording my job applications using the track.py script?
Prompt 2
How do I browse only the AI and machine learning internship listings in this tracker?
Prompt 3
How does the tracker deduplicate listings from multiple sources, and which source repos does it pull from?

Frequently asked questions

What is internship-tracker?

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.

What language is internship-tracker written in?

Mainly Python. The stack also includes Python, GitHub Actions, Markdown.

How hard is internship-tracker to set up?

Setup difficulty is rated easy, with roughly 5min to a first successful run.

Who is internship-tracker for?

Mainly general.

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