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Samaina Khatun
Samaina Khatun

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SlothDesk: Make Room for Slow with Open-Source AI

Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady Submission 🦥

SlothDesk: Make Room for Slow

Productivity tools often make people feel like they are falling behind.

SlothDesk takes a different approach: it turns an overwhelming task list into a calm, achievable plan made of tiny wins.

What I built

SlothDesk is a gentle task planner designed around the Week 3 “Slow and Steady” theme.

It includes:

  • A simple daily task planner
  • Tiny-win task labels
  • Task completion tracking
  • A progress indicator
  • A calm, low-pressure interface
  • Local-first AI positioning
  • Support for connecting to open-source models through Ollama or LM Studio

Why open-source AI?

The goal is to keep the planning experience private and accessible.

SlothDesk is designed to work with an OpenAI-compatible local model, such as an Ollama-hosted model. This means users can eventually process their task lists locally instead of sending personal productivity data to a hosted service.

The .env.example file includes the configuration needed to connect a local model.

How it fits “Slow and Steady”

SlothDesk is intentionally not a hustle dashboard.

It does not focus on:

  • Streaks
  • Productivity scores
  • Competitive rankings
  • Guilt-driven reminders

Instead, it encourages people to start with one small task and build momentum gradually.

The interface is based on three principles:

  1. Break large tasks into tiny steps.
  2. Keep the experience human and pressure-free.
  3. Let users own their data.

Tech stack

  • Next.js
  • React
  • TypeScript
  • CSS
  • OpenAI-compatible local model support
  • Ollama and LM Studio compatibility

Links

Run locally


bash
git clone https://github.com/samainakhatun115-cpu/slothdesk.git
cd slothdesk
npm install
npm run dev
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