Enhance Solo Founders' Productivity with FounderPulse TrackerEnhance Solo Founders' Productivity with FounderPulse Tracker
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Project name: Founder Pulse
Description:
FounderPulse is a premium personal productivity and wellbeing tracker built specifically for solo founders and independent builders. It helps users stay highly self-aware about their daily work habits, energy levels, and outputs—giving them a clear visual "pulse" that surfaces burnout signals before they become a critical problem.
The Problem & Solution:
Solo founders often work in complete isolation with no manager, no HR support, and no structured feedback loop. It is incredibly easy for them to grind themselves into severe burnout without even noticing it happening. FounderPulse solves this by providing incredibly lightweight, frictionless daily self-reporting system and automatic analytics designed to catch unhealthy work patterns early.
Core Features:
Home Dashboard: A personalized greeting displays the user's daily status at a glance: milestones completed, hours worked vs. their daily goal, a dynamic energy score, incomplete milestones and tasks done. Quick-access buttons allow users to log or edit today's entry instantly via a modal popup without navigating away.
Daily Check-In: An intuitive interface where users log their workday metrics in seconds—hours worked, tasks completed, energy/mood score (on a 1–5 scale), and an optional mental journal note.
Analytics (Weekly & 30-Day Pulse): Aggregates logged data over time to surface 30-day streak statistics and weekly averages (hours, tasks, and energy). It automatically checks for burnout risk by flagging days where exceptionally high working hours intersect with low energy scores.
Milestones Tracker: A focused goal manager built around a clean philosophy of limiting open objectives. Users can easily create, edit, toggle completion status, and clear milestones.
Log History: A complete, chronological timeline of every daily entry, beautifully categorized by energy level (Low / Steady / High) with a detail viewer and delete functionality.
Account Settings: A centralized hub where users can seamlessly update their display name, email, daily work hour goal, and account password.
Premium Authentication: A secure user gateway handling full signup, login, and forgot password workflows.
Category (dashboard):
Productivity / Health & Wellbeing (Personal analytics and self-monitoring for knowledge workers).
How I Built on Top of the AI-Generated Base:
While the AI helped generate the initial layouts and basic CRUD workflow blocks, I spent significant time manually refactoring the application to ensure it met a premium design standard, handled data accurately, and operated securely.
Premium Apple-Style UI/UX Design & Polish: I manually overhauled the visual styling to achieve a high-end, dark-mode digital health product aesthetic. This included setting custom dark hex-code backgrounds (#121212 page backdrop, #1A1A1A card surfaces, #1E1E1E input fields), implementing consistently rounded card borders (16px on auth/signup/reset cards, 8px on all input fields), designing color-coded conditional logic for energy metric states, and ensuring clean text-alignment hierarchy across the entire app.
Structured Multi-Page Auth Architecture: I designed and built a clean, dedicated authentication system across 3 focused pages — /auth (Sign In), /signup (Registration), /forgot-password (Password Reset request). Each page has its own scoped dark-card layout, purpose-built input set, and isolated workflow chain. Navigation between them is handled by deliberate button click workflows (e.g. "Forgot password?" navigates to /forgot-password, "Back to Sign In" returns to /auth, sign-up success redirects to the dashboard), keeping each auth concern clean and independently maintainable.
Analytics Page Extension: The AI generated the Weekly Pulse section — including hourly/task/energy averages and the Burnout Risk detector. I built the 30-Day Streak Stats section on top of that foundation, adding the streak count card, total hours card, the "Last 30 days" label, and the supporting card layout with the purple accent styling.
Bug Squashing & Edge-Case Handling: I manually audited and resolved data binding bugs, such as correcting layout group expressions where data fields accidentally stacked incorrectly, and writing conditional formatting rules to ensure the historical status tracking logs perfectly mirrored the color-scale legend.
Demo video:
AI Baseline proof:
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