Hey everyone 👋

I want to give a massive shoutout to AI — it has injected a whole new level of passion and joy into coding for a non-tech guy like me.

Over the last few weeks, I’ve been exploring what AI can do. I was learning fast, building small experiments, testing ideas… and then I hit a problem:

👉 I completely lost track of what I was building and learning.

The Problem: I tried the usual approaches:

Word documents
Excel sheets

They worked… but felt clunky and disconnected.

Then I looked at modern project management tools — and honestly, they felt massively overengineered for a single developer:

• Too many features
• Too many abstractions
• Too much setup
• Too much friction

I didn’t need a company-grade system.
I needed something simple, fast, and private.

The Idea - I wondered:

What if I used AI to build the exact tool I wish existed—for myself?

That, to me, is the real power of AI.

So I built a lightweight, minimalist, local-first project tracker that runs entirely on my own machine.

What I Built

This is a local-first desktop-style web app (served locally) focused on clarity and zero friction.

** Key Features**
Dual-View System
Switch seamlessly between:
An editable spreadsheet-style project grid
A visual Kanban board
Dark Mode
An eye-friendly dark theme powered by CSS variables.
****Rich Developer Diaries
Each project has a dedicated workspace to store:
Step-by-step notes
Copyable code blocks
Architecture decisions
Thought process over time
Zero-Friction Auto-Save
Diary blocks auto-save with an 800ms debounce, quietly working in the background as you type.
🧠 AI Progress Summaries (Optional)
Generates monthly or quarterly markdown summaries of progress using the Claude API from Anthropic.
🔒 Total Data Privacy
Everything lives in a single local SQLite file (projects.db).
No cloud sync. No browser localStorage. Nothing that disappears after a cache clear.

🏗️ Tech Stack (Intentionally Simple)

I wanted zero setup friction and maximum portability, so I avoided frontend frameworks, npm, and bundlers entirely.

Backend: Python + Flask (lightweight local HTTP server)
Database: SQLite
Write-Ahead Logging (WAL) enabled
Data stored as JSON blobs → no migrations needed when adding fields
Frontend:
Semantic HTML5
Vanilla CSS3
Vanilla JavaScript using native fetch()

No magic. No heavy abstractions. Just simple, understandable code.

Open Source

The project is fully open source, and I’m genuinely proud of how it turned out.

GitHub Repository:https://github.com/AIExplorer-ai/project-tracker?utm_source=chatgpt.com
Project Tracker on GitHub

Feedback Welcome 🙏

I’d love to hear:

What you think of the approach
Whether you face similar tracking problems
Any features you think would be worth adding next

Thanks for reading — and thanks to AI for making building fun again 🚀