LaterGator：把待辦清單轉成行動計劃的拖延自動化工具
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LaterGator 將雜亂的待辦清單整理成可執行計劃，協助用戶安排優先次序、估算所需時間，並聚焦三項重要事項。項目以 React 和 Vite 開發，設計上透過 Ollama 在本機使用開放權重 Qwen3 進行任務規劃，並協助找出最容易開始的下一步。
I built LaterGator — The Procrastination Autopilot, a tool that turns messy to-do lists into simple, actionable plans. It helps users prioritize tasks, estimate time, and focus on just three important things, saving time and reducing overwhelm. 🦥
Demo
- Frontend: https://belong-roommate-finder-frontend.onrender.com/
- Backend API: https://belong-roommate-finder.onrender.com
Code
GitHub: https://github.com/prachi-p-jpg/belong-roommate-finder
How I Built It
I built LaterGator using React and Vite, with a simple interface that turns messy to-do lists into prioritized tasks. The project is designed to use the open-weight Qwen3 model through Ollama for local AI task planning.
Why Does Open Innovation Matter?
Open innovation makes AI more accessible, transparent, and customizable. Using open-weight models like Qwen3 can enable local processing, reduce dependence on closed AI APIs, and give developers more control over their applications.
My Agent Session
Not available yet.
The Lazy Payoff
LaterGator aims to save time and mental energy by organizing tasks, highlighting the easiest next step, and reducing daily priorities to just three.
Prize Categories
Open-Source AI / Open-Weight Models
來源：DEV Community · dev.to