Inspiration

We’re living in a time where technology and AI have made daily life feel effortless, a little too much, per se. People spend more time consuming than creating, choosing comfort on the couch and endlessly scrolling over, rather than engaging with the vibrant world around them. That comfort is slowly stripping away what makes us human: connection, effort, discomfort, and growth. Humanmaxxing was inspired by the idea that maybe the problem isn’t that we need more technology, but a system or a way to incentivize people to truly become human again.

What it does

WorldU is a platform that incentivizes people to engage in real, human activities. Users complete challenges like:

• Cleaning up their local community
• Talking to new people
• Going outside for walks or meditation
• Doing things outside their comfort zone

Each activity earns them in-app points, which can ultimately translate into real incentives. The platform also includes:

• Leaderboards (friends, local, student rankings)
• Daily challenges
• Social/community interaction

The goal is simple: reward people for being human instead of rewarding passive consumption.

How we built it

We built Humanmaxxing as a full-stack platform that turns real-world human actions into measurable, rewarding experiences.

On the frontend, we created a mobile-friendly interface where users can complete challenges, track activities, and earn rewards. To integrate seamlessly with the ecosystem, we developed a Mini App using the SDK provided by World U(World.org), allowing users to access our platform directly within their environment.

On the backend, we built an API-driven system to manage user authentication, activity tracking, and our reward engine. Moreover, we employed the Gemini-3-Flash model for validating the user's proof of activity. Users earn points by engaging in meaningful real-world behaviors such as social interaction, productivity, and community involvement.

Challenges we ran into

Funny thing is that we started with a totally different project direction, which involves a dating show and fine-tuning Gemma. However, we faced many challenges, such as hardware limitations, inference speed, and internet latency. Therefore, we switched to this idea on Saturday night at 10 pm. We would say that our main challenge was time. With less than 10 hours of planning and coding, we struggled a lot with feature integration.

What we learned

Since going blindly into the first project, we realized that we needed to do more research, especially on the feasibility of the project. Even though the project can be cool, if you don't have enough background knowledge, it can be extremely hard to do. As for our main project, we learned that we don't always need to fight for the best AI Agents/models. Sometimes, we need to find solutions to combat them instead. With the rapid growth of AI, we realized that humans are the ones who are being left behind. Therefore, sometimes it's best to focus on solutions that will be helpful to humans.

Built With

• gemini
• mongodb
• python
• tailwind
• typescript
• worldu