Famigo.

The problem

Planning a family outing means juggling disconnected tools — Google Maps, Yelp, weather apps, event sites, social media, and group chats — to research activities, compare options, check reviews, coordinate schedules, and estimate travel time. The result is decision fatigue and fragmented planning across too many apps.

During the outing itself, unexpected issues — traffic, weather changes, crowds, nap or meal timing — force stressful last-minute replanning. For the busy parent acting as "family coordinator," high time pressure and constant context-switching turn what should be enjoyable into a chore.

The solution

Famigo is a family outing planning assistant that generates a customized day plan in seconds using real-world constraints such as operating hours, logistics, and weather. A parent describes their outing in natural language, and Famigo produces a complete, personalized itinerary combining family composition, children's ages, budget, timing, and preferences with grounded venue data.

Plans can be refined conversationally — swap a restaurant, make it indoor, shorten the outing — without rebuilding from scratch. In the demo, a parent plans a Washington, DC outing with a 10-year-old, then revises the museum choice while the system revalidates the plan around operating hours and constraints.

How it works

Famigo uses structured real-time data rather than model training. Core sources include user inputs, Google Places, Google Maps and geocoding, and weather APIs, plus the app's own itinerary state. Data is cleaned into structured candidate buckets, filtered by constraints, passed to the AI for generation, and validated before display.

The prototype demonstrates three AI capabilities — intent understanding, itinerary generation, and conversational refinement — presented as a natural-language interface, a structured timeline, and venue cards. A key insight from evaluation was that most failures came from orchestration, retrieval, and validation logic rather than the language model itself; as grounding, weather integration, and venue validation improved, so did output quality. Manual evaluation showed roughly 95% hallucination avoidance and 90% factual accuracy, with conversational modification and multi-constraint planning as the main areas to improve.

Who it's for

Famigo is B2C, aimed at busy families with children — especially millennial and Gen Z parents planning local outings and weekend activities. The most revenue-impacting users are dual-income suburban and urban families with children under 12, who face the highest planning complexity and strongest willingness to pay for stress reduction.

Typical buyers are parents aged 32–55 with 1–4 kids (children primarily ages 2–12), in middle-to-upper income, smartphone-heavy households. Secondary users include caregivers, grandparents, and family groups coordinating together.

Why it matters

The tailwinds are explosive GenAI adoption, growth in the experience economy, and rising decision fatigue, in a target segment projected to grow 10–15% over three to five years. The market is crowded — Mindtrip, Google, Yelp, and ChatGPT all compete — so Famigo's edge is family-specific optimization: context- and constraint-awareness and personalization.

Famigo is a startup at prototype stage, planning a phased closed pilot → beta → public launch. It will launch free to validate product-market fit, introduce a freemium model during beta, and pursue a hybrid model of subscription revenue plus affiliate revenue from attractions and experiences booked through the platform.

At a glance

Project

Famigo

Built by

Vishal Mody

One-liner

Famigo is a planning assistant for busy parents who need to organize family outings without juggling multiple tabs for weather, maps, hours, and restaurant research.