Glow Up Planner

A personal productivity and wellness planner built for women doing a serious glow-up: tracking career goals, daily habits, job applications, fitness, meals, and more. Powered by Next.js, Supabase, and OpenAI.

Features

Timetable

• Color-coded daily schedule builder with drag-and-drop time blocks
• Block types: Work, Study, Workout, Break, Personal, and more
• Per-day persistence via Supabase

Daily Planner

• Set daily intentions and top priorities with checkboxes
• Track LeetCode problems solved, study notes, build log, and cold outreach
• Reflection section at end of day
• AI-generated Daily Brief — a personalised 150-word morning briefing based on your data

Job Tracker

• Full application table: company, position, status, date, salary, next actions, contact, reference link
• Smart status selector (Applied, Interviewing, Offer, Rejected, Withdrawn)
• Sort by date descending, debounced cloud save
• AI Cold Outreach Drafter — 3-sentence LinkedIn DM per row, one click
• Analytics tab — stat cards, status breakdown bars, applications by month chart, conversion pipeline

Habit Tracker

• Fully customisable habit list — add, remove, and rename habits inline
• 7-day week grid (desktop table + mobile cards)
• Per-habit clear row and global clear all
• Habits synced to Supabase habit_settings (list) and habit_weeks (completions)
• AI 4-Week Habit Analysis — identifies strengths, gaps, and concrete fixes
• AI Weekly Wrap-Up — structured review auto-saved to Sunday's notes

Meals

• Food diary with columns: Meal, Food/Drink, Servings, Serving Size, Protein, Carbs, Sugar, Fat, Calories
• Daily totals row with macro summary
• Per-date persistence via Supabase meal_entries table
• AI Meal Coach with 4 modes:
  • Daily Analysis — macro breakdown and actionable insights for today
  • Weekly Review — consistency, protein trend, weekly grade
  • Food Research — look up any food's macros and autofill the diary
  • Ask Anything — nutrition Q&A with context from today's log
• All coach results saved to meal_coach_logs and loaded on panel open

Goals

• Goal cards with progress tracking
• Category tags and target dates

Fitness

• Workout log with exercise, sets, reps, and notes
• Per-date persistence

Tech Stack

Layer	Technology
Framework	Next.js 15 (App Router)
Auth + Database	Supabase (Postgres + RLS)
AI	OpenAI gpt-4o-mini
Styling	Tailwind CSS
Animations	Framer Motion
Language	TypeScript

Getting Started

1. Clone and install

git clone <your-repo-url>
cd glow-up-planner
npm install

2. Set up environment variables

Create a .env.local file in the project root:

NEXT_PUBLIC_SUPABASE_URL=your_supabase_project_url
NEXT_PUBLIC_SUPABASE_ANON_KEY=your_supabase_anon_key
OPENAI_API_KEY=your_openai_api_key

OPENAI_API_KEY is server-only — never prefix it with NEXT_PUBLIC_.

3. Set up the database

Run the following tables in your Supabase SQL editor:

• daily_plans — daily planner + timetable data
• habit_weeks — weekly habit completion grid
• habit_settings — custom habit list per user
• job_applications — job tracker rows
• meal_entries — food diary entries per date
• meal_settings — calorie goal per user
• meal_coach_logs — saved AI meal coach results

All tables require RLS with auth.uid() = user_id policies.

4. Run locally

npm run dev

Open http://localhost:3000.

Deploying to Vercel

1. Push to GitHub
2. Import the repo at vercel.com/new
3. Add environment variables in Project Settings → Environment Variables:
   • NEXT_PUBLIC_SUPABASE_URL
   • NEXT_PUBLIC_SUPABASE_ANON_KEY
   • OPENAI_API_KEY
4. In Supabase → Authentication → URL Configuration, add your Vercel URL as a redirect URL: https://your-project.vercel.app/**
5. Deploy

AI Agents

All AI features call server-side API routes so the OpenAI key never reaches the client.

Agent	Route	What it does
Daily Brief	/api/agent/daily-brief	150-word morning briefing from today's data
Habit Analysis	/api/agent/habit-analysis	4-week habit pattern report
Weekly Wrap-Up	/api/agent/weekly-wrap	Weekly review auto-saved to Sunday notes
Study Plan	/api/agent/study-plan	5-day LeetCode plan from your tracking data
Cold Outreach	/api/agent/cold-outreach	3-sentence LinkedIn DM per job application
Meal Coach	/api/agent/meal-coach	Daily/weekly nutrition analysis, food research, Q&A

Project Structure

app/
  api/agent/          # AI agent API routes
  auth/               # Supabase auth callback
  page.tsx            # Main page
components/
  TimetableSection.tsx # Schedule builder
  DailyPlanner.tsx    # Daily planner + AI brief
  JobTracker.tsx      # Job tracker + analytics + cold outreach
  HabitTracker.tsx    # Habit grid + AI analysis + weekly wrap
  MealsSection.tsx    # Food diary + Meal Coach AI
  GoalsSection.tsx    # Goals tracker
  FitnessSection.tsx  # Fitness log
context/
  DateContext.tsx     # Global selected date state
lib/
  supabase/           # Supabase client (browser + server)