Anonymous team mood, visible trends, faster manager check-ins.
MoodPulse is a lightweight web app for remote teams to submit a daily anonymous mood using an emoji and short note, then view team-level trends over time. It helps managers spot morale shifts early without creating awkward status meetings, while keeping onboarding fast enough for a one-minute setup.
Remote Manager Priya, 38 - Priya leads a distributed product team across three time zones. She wants a quick, reliable signal on team morale without forcing a meeting or making people feel watched.
Team Member Alex, 29 - Alex works remotely and does not want another heavy status tool. He needs a fast way to share how he feels at the start or end of the day from his phone or laptop.
Operations Lead Sam, 44 - Sam oversees multiple small teams and cares about adoption, reliability, and simple administration. He needs a tool that is easy to roll out and easy to monitor.
Priya manages a distributed team and has been relying on sporadic check-ins to understand how her group is feeling. Some days the team seems fine, and then a deadline slips or energy drops without much warning. She needs a simple, private way to get the signal before the situation gets expensive.
With MoodPulse, each teammate submits an emoji and a short note in seconds from their phone or laptop. Priya sees only aggregate trends, not identities, and can quickly tell when morale dips after a stressful release or when participation drops below a healthy level.
Instead of guessing, Priya uses the dashboard to decide when to start a gentle check-in or adjust priorities. The team gets a low-friction way to be honest, and the business gains earlier visibility into morale issues that can affect delivery, retention, and collaboration.
Team & resourcing - Small team - 2 engineers, 1 designer, part-time PM, and shared QA support.
Paste this into Cursor, Bolt, Lovable, or v0 to start building.
Build a lightweight web app called MoodPulse for remote teams to submit daily anonymous moods and view team-level mood trends. Tech stack: Next.js 14+ with TypeScript, App Router, Tailwind CSS, Supabase Postgres, Supabase Auth, Vercel deployment, Recharts for charts, and Sentry for error monitoring. Core product requirements: 1. Anonymous daily mood submission with an emoji picker and short note field. 2. Team/workspace onboarding that takes under 1 minute for first-time users. 3. Manager dashboard with aggregated bar chart and line chart mood trends. 4. Mobile-first, responsive UI that works well on desktop and phone browsers. 5. Support workspaces with 50 users out of the box. 6. Preserve anonymity with aggregate-only dashboard views and a minimum response threshold for charts. Primary screens and flows: Create workspace, join workspace via invite link/code, submit mood, confirm save, manager dashboard, admin overview, CSV export. Data model: Workspaces(id, name, timezone, created_at) Users(id, workspace_id, email, role, created_at) Invites(id, workspace_id, email, code, status, expires_at, created_at) MoodEntries(id, workspace_id, user_id, emoji, note, submitted_at, updated_at) DailyAggregates(id, workspace_id, date, avg_score, response_count, mood_counts_json) AuditLogs(id, workspace_id, actor_user_id, action, metadata_json, created_at) Implementation details: Use Supabase Auth for email login and invite acceptance. Use Supabase RLS so users can only create/update their own mood entries and managers can only read aggregate workspace data. Create server-side APIs or server actions for mood submission, invite acceptance, and aggregation queries. Store workspace timezone and bucket moods by workspace-local day. Suppress manager trend views when fewer than 3 responses exist for the selected period. UI details: Mobile-first single-column mood submission screen, clear emoji buttons, short note input, save confirmation state, and empty states for no data. Dashboard should show summary cards for average mood, response count, and participation rate above Recharts bar and line graphs. Include date range filters, CSV export button, and accessible chart labels. Build the app end-to-end with production-ready code, seed data, and clean component structure. Include error states, loading states, validation, and a polished onboarding flow.
I want to build with Bolt: a lightweight, web-based mood tracker for remote teams that lets users submit daily moods (emoji + short note) anonymously and shows team-level mood trends (bar and line graphs). Use Next.js (TypeScript), Supabase Postgres, and deploy to Vercel. App should work on mobile and desktop browsers, with dashboard views for managers. Keep onboarding under 1 minute and support 50 users out of the box.
Design by The Resonance | Powered by GPC – The AI Transformation Company