RiseQuest

Inspiration

A to-do list can tell you what needs doing. An alarm can tell you when to wake up. Neither necessarily helps you take the next step.

RiseQuest brings those moments together: waking up, getting started, staying focused and finding encouragement when a task feels too big. The idea is simple: make a day more manageable, one achievable action at a time.

What it does

Start the morning your way. Create an alarm, choose a sound and prepare a personal wake-up message. Pick a realistic voice, save your favourite and hear the saved message before the tone, even offline. Choose one, two or three readings. Brain-teasing challenges add an active step to waking up, with a choice of difficulty and stop/snooze controls. Choose a Wake Buddy directly while setting the alarm, then open their number when you want encouragement—nothing is sent automatically.

Turn a big task into a starting point. Enter a task such as “organize my workspace” and ask for a breakdown. NVIDIA Nemotron on Nebius returns practical steps inside the quest, with descriptions and time estimates. Review the suggestions, adjust your plan and work through it in Focus Mode. The AI contributes to the task you are doing, rather than leaving you to copy advice out of a separate chat.

Find support that fits the moment. Personalized coaching and wake-up messages complement mood check-ins, coping routines and focus tools. These are everyday productivity and wellbeing supports, not medical diagnosis or treatment. Age-aware experiences provide curated routines for children, while eligible adults can use external AI generation.

How I built it

Nebius Token Factory brings NVIDIA Nemotron into three everyday RiseQuest experiences: turning overwhelming tasks into manageable steps, providing personalized coaching and creating personal wake-up messages. These capabilities connect directly to the app's alarms, quests and focus tools, helping users move from intention to action.

A shared server-side generation layer gives Nemotron focused instructions and relevant preference context for each experience. It validates responses before presenting them as actionable quest steps, coaching replies or wake-up messages. Safety checks and age-aware handling support appropriate use, while retry-safe points handling protects users from duplicate generation charges.

The React Native app connects to an Express API and PostgreSQL. Token Factory's hosted inference API supports the generation workflow, while the deployed backend manages accounts, preferences and saved activity. Private credentials, account isolation and tested backup restoration support the service behind the mobile experience.

What changed during the hackathon

Since September, I have developed RiseQuest across its mobile experience, AI capabilities and hosted service. I integrated Nebius-powered generation across three features; strengthened account isolation, offline startup, age handling and subscription state; built the native iOS validation and signed-delivery workflow; improved Android alarm recovery; and refined quest, profile, contact and purchase dialogs for scrolling, keyboard access and clearer interaction.

I added saved realistic wake-up voices, an in-form Wake Buddy choice and an Android lock-screen alarm pop-up. I also improved sleep and coping experiences, added age-aware ad controls and accessible privacy choices, migrated the backend with data-preservation and recovery checks, and prepared a public MIT-licensed source snapshot, installable Android judging build and real-device demo. Together, these changes make the connected routine experience more practical to use and easier to evaluate.

Challenges and what I learned

The hardest part was making the pieces behave well together. An alarm must recover its controls when the app resumes. A form must retain focus when the keyboard opens. An AI result must be useful in its destination, handle failure safely and avoid interrupting the user just to announce something already visible.

I exercised all three generation paths with real Nebius requests and tested the mobile experience on an Android phone. Automated checks cover account boundaries, safety, billing and interface regressions; iPhone and iPad simulator captures add another view of the experience. This taught me to evaluate how a generated answer helps someone act within the app.

Accomplishments and next steps

As a solo builder, I am proud of connecting practical AI to a working mobile routine: from a personal wake-up message to a concrete first task step. Judges can install the Android test build, follow the demo and inspect the public source. Next are completing store review and using broader device testing and user feedback to refine the experience further.

Built With

• docker
• express.js
• javascript
• nebius
• node.js
• nvidia-nemotron
• openai
• postgresql
• react-native