Wish You Were

The description states that Wish You Were is a social media travel app for all generations. It enables users to send digital postcards which unlock either at a given date/time or when the recipient reaches a specific destination. Features include:

• Postcard builder: Users can choose date, location (or both), write messages, format text, and select stamp options.
• Quest builder: Allows senders to create gamified challenges for recipients during travel.
• Memory box: A place to view sent/received postcards, with real-time unlock updates.
• Memory map: Displays a live OpenStreetMap of locations where users have sent or received postcards.

The app is built using Next.js, React, TypeScript, Tailwind CSS, Supabase, and Vercel. AI tools (Codex and GPT-5.6) were used for scaffolding, refactoring, database design, error diagnosis, and interface improvements.

Note

The author describes the product as a personal experiment and not yet fully realized in terms of user engagement or monetization.

The description states that Wish You Were is “a social media travel app for all generations” and aims to turn distance into meaningful shared memories. It positions itself around:

• Intergenerational connection through travel experiences.
• Gamification via quest features.
• Digital postcards as a way to preserve memories across time and space.

The author also mentions the inspiration behind the idea — exploring places with loved ones, sharing stories, and capturing moments together even when physically apart. This suggests an emotional positioning focused on nostalgia, family bonds, and travel storytelling.

Inference The app may be positioned as a tool for emotional connection rather than pure utility or entertainment. However, this is not backed by any evidence of user behavior or feedback.

The description states that the app targets “all generations” and aims to help users share travel experiences with family members who live far away. The core use case involves:

• Sending digital postcards between family members.
• Creating quests for travelers to complete during trips.
• Preserving memories in a shared digital space.

There is no evidence of segmentation beyond generational appeal or familial relationships. No specific personas, user types, or demographic breakdowns are mentioned.

Not evidenced No clear ICP defined; no indication of who the primary users are beyond “family” or “travelers.”

The description does not contain any information about pricing models, monetization strategies, or business models. The author only describes the features and technical implementation.

Not evidenced No evidence of revenue streams, pricing plans, subscriptions, or commercial viability.

The app is built with modern web technologies including:

• Framework: Next.js, React
• Language: TypeScript
• Styling: Tailwind CSS
• Backend: Supabase (PostgreSQL, authentication, image storage, scheduled jobs)
• Map integration: Leaflet and OpenStreetMap
• AI tools used: Codex, GPT-5.6

The author notes that the app was built with minimal coding experience using AI assistance for scaffolding, refactoring, and debugging.

Inference The technical stack suggests a scalable, modern SaaS-like architecture. However, there is no evidence of production deployment or performance data.

The project was submitted to the OpenAI 2026 hackathon. The author describes it as a personal experiment and a prototype built in a short timeframe. There is no mention of:

• Users
• Customer acquisition
• Revenue
• Product-market fit
• Iteration history or feedback loops
• Deployment status (e.g., live domain, public access)

Not evidenced No traction or maturity indicators beyond the initial build.

The description does not reference any competitors. It is unclear whether similar products exist in the market for digital postcards, location-based sharing, or intergenerational travel storytelling.

Not evidenced No competitive landscape analysis provided.

• Single-founder model: Only one team member (Abigail Bailey) is listed.
• No revenue or traction evidence: The app has not been deployed for public use or monetized.
• Unverified claims: All descriptions are self-reported and unverified.
• AI dependency: Heavy reliance on AI tools raises questions about scalability, control, and long-term maintainability.
• Privacy concerns: While privacy features are mentioned, no details are given on how they are implemented or tested.

Inference The lack of independent validation makes it difficult to assess the viability or sustainability of this concept.

1. What is your plan for user acquisition and retention?
2. Have you conducted any user testing or gathered feedback from potential users?
3. How do you intend to monetize the platform?
4. Are there plans to expand beyond the current feature set (e.g., quests, memory maps)?
5. What are the key privacy and security measures in place for location-based unlocking?
6. Is there a roadmap for scaling beyond the current prototype?
7. How do you plan to differentiate from existing social media or travel apps?