A safe space where you are always understood: a private AI that decodes the subtext of messages, helps release emotional tension and remembers what truly matters to you.
Mobile app developer case study
Gossiper: Mobile App Built by Skynix
A private AI confidant that decodes the subtext of messages and helps release emotional tension.
- Platform
- iOS and Android
- Timeline
- About 7 weeks, Aug to Oct 2026
- Team
- 3 engineers
- Technology
- Capacitor, Node.js, Express, Google Gemini
- Status
- Live
Four tones for any mood
Choose how your confidant talks to you: Cozy, warm and validating; Analyst, direct and fact-focused; Challenger, sharp and provocative; or Venting, pure active listening.
Subtext decoder
Upload screenshots or paste messages and Gossiper breaks down passive-aggressive texts, mixed signals and hidden intentions in seconds.
Context memory
It builds a private map of your key relationships, projects and habits so advice is tailored to your life.
Emotional wellbeing tracking
Log your mood in one tap each day; at the end of the week the AI summarizes emotional patterns and stress triggers.
Zero-trust privacy
Anonymous access, no data selling and local-first processing. Available as native iOS and Android apps.
How we built it
Gossiper went from first commit to release in about seven weeks, with nearly 200 commits from a team of three. The native iOS and Android apps are built with Capacitor on top of a Node.js (Express) backend that talks to Google's Gemini models.
Privacy shaped the architecture: anonymous access, local-first handling of data and no data selling are part of the product, not an afterthought.
Key team members
Anastasiya Storozhenko
Developer
Apps, product build
Artem Ishchenko
Back-end Developer
Back end, AI integration
Oleksii Prozhoha
CEO & Owner
Product direction, infrastructure
Bogdan
Business Manager
Project management
