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Kiss or Slap

A gamified social app where users 'Kiss' or 'Slap' profiles, earning status, rewards, and influence on leaderboards.

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Description

Kiss or Slap is a gamified social app where users interact by choosing to 'Kiss' or 'Slap' profiles, influencing scores, ranks, and social status. It blends simple gameplay with viral, competitive elements, offering users a chance to showcase their profiles and climb leaderboards through community votes. The system incorporates speculative elements like bonding curves for point distribution and incentives, turning the experience into an interactive social market.

Core Features

  • Interactive Gameplay: Users engage with profiles by selecting "Kiss" or "Slap," impacting points, hotness scores, and leaderboard rankings.
  • Hot or Not-Style Rating: Users can display their profiles and earn points as others rate them, boosting visibility and engagement.
  • Speculative Market Mechanics: Uses a bonding curve system where user engagement drives point distribution, adding speculative value to profiles.
  • Leaderboards & Status: Players compete for top spots on the leaderboard, driving motivation to stay active and engage more frequently.
  • Referral Rewards: Both referrers and invitees earn bonus points, fostering viral growth.
  • Reward System: Users can earn points, status, and explore future reward options like gift card redemptions and in-app perks.

Future Vision

We’re building AIGC-driven social experiences that allow users to showcase and co-create content. By evolving from a zero-sum game to a positive-sum model, every user can feel like a winner — earning status, rewards, or social validation. Our vision is to make Kiss or Slap a must-have social app for Gen Z, blending gaming, status, and social relevance.

Progress During Hackathon

Prototype Launch: Built and launched a functional app with core game loops, animations, and leaderboards. Hot or Not & Bonding Curve: Shifted to Hot or Not-style ratings and introduced bonding curve incentives for points. Speculative Game Mechanics: Integrated speculative elements where user actions drive point distribution. Chiang Mai Test: Ran a successful test generating $24M in test transactions, gathering insights for optimization. Next Steps: Refining viral growth loops, enhancing user experience, and engaging with incubators for growth support.

Fundraising Status

Soft commit from angels with token round. Deck: https://www.canva.com/design/DAGYHEeSAPI/HXDdXMRTbwIxQBpWk0iQ0Q/view?utm_content=DAGYHEeSAPI&utm_campaign=designshare&utm_medium=link2&utm_source=uniquelinks&utlId=h46ab065017

Team LeaderJJulie Shi
Sector
SocialFi

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