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NannyBot AI

A Smart Solution for New Parents

Visit Site
20
Downloads Week 1
41
Page Views
5.8%
Conversion Rate
4
Avg Sessions/User

The Problem

After becoming a parent, I realized how challenging it is to manually track a baby's daily activities, from feedings and naps to diaper changes. This often leaves new parents feeling overwhelmed and lacking the data needed to understand their baby's patterns. My initial solution, a low-code tracker built with Apple Shortcuts, confirmed this was a widespread problem experienced by many other parents.

Key Features

Effortless Tracking

Quick logging of feeding times, diaper changes, and sleep patterns with intuitive interface designed for busy parents.

Intuitive Insights

Visual charts and pattern recognition help parents understand their baby's routines and identify trends over time.

Seamless Collaboration

Share tracking data with partners, caregivers, or family members to keep everyone informed about baby's needs and routines.

Technology Stack

RN
React Native
FL
Flask
DB
MongoDB
GPT
ChatGPT

Challenges & Solutions

App Store Compliance

Navigating Apple's strict review process for baby-related apps. Required multiple iterations to ensure compliance with health and safety guidelines, proper data privacy measures, and appropriate disclaimers for parental responsibility.

Data Persistence Issues

Debugging complex synchronization issues between local storage and Supabase backend. Resolved edge cases where tracking data wouldn't sync properly across devices, ensuring parents never lose important baby milestone information.

Results

Strong Launch Week

Achieved 20 downloads in the first week with 5.8% conversion rate, demonstrating initial market validation for baby tracking solutions.

User Engagement

Users averaged 4 sessions per user, indicating strong engagement with the tracking features and interface design.

Marketing Success

Generated 41 page views through organic marketing efforts, building awareness in the competitive baby app market.

Impact & Reflection

NannyBot AI emerged from a personal need to simplify baby tracking for busy parents. The project successfully demonstrated how mobile technology can streamline the overwhelming task of monitoring feeding, sleeping, and diaper patterns in those crucial early months.

This experience highlighted the importance of solving real problems with elegant solutions. Building NannyBot AI reinforced the value of user-centered design and the challenges of launching in competitive app markets while maintaining focus on genuine utility for parents.