LightfieldAI-native CRM that builds itself and does work for you
Promoted
The Are You Bored!? App
Swipe. Complete. Earn. Repeat.
2 followers
Swipe. Complete. Earn. Repeat.
2 followers
What are you waiting for? Stop scrolling. Start doing. Swipe through 300+ activity cards and turn your boredom into something worth remembering. Are You Bored!? is a swipeable activity deck built to get you off the couch. Every card is a real activity - not a generic list. Swipe through them, find one that pulls you in,tap to complete it, and watch your XP climb.
Fun idea. How are you keeping people coming back after the initial novelty, rather than it becoming something they try once and drop?
@becky_gaskell Great question — and honestly one I thought hard about from day one.
A few things I built specifically to fight the "try once and forget" problem:
Monthly content rollouts — The system will rollout new activity and interactive card drops every month, so there's always something fresh waiting. It's not a static library; it grows with you.
Daily achievements & reward system — There's a progression layer built in. You earn achievements for completing activities, trying new categories, and hitting streaks. It gives returning users a reason to open the app beyond just "I'm bored right now."
Engagement campaigns — The system will run seasonal and themed campaigns that surface activities relevant to what's happening in the world — holidays, trends, challenges. It ties the app to moments in real life rather than existing in a vacuum.
See release notes on the April rollout https://areyoubored.app/news/article.php?id=april-2026-release
The core insight I kept coming back to: boredom is recurring, not one-time. Most people feel it multiple times a week. The job was making sure The Are You Bored!? App becomes the habit they reach for instead of mindless scrolling. Early retention signals are pointing in the right direction, but I am still learning what resonates most and iterating fast.
@wrightscs That makes sense. Early retention is always the tricky part to read properly, especially before you’ve got enough real usage data.