Buddy

Aliu Raheemah — Sat, 20 Jun 2026 14:06:58 +0000

This is a submission for the June Solstice Game Jam

What I Built

Road Trip With Your Buddy is a trivia driving game. Your car cruises automatically down an endless road, and every couple of minutes a question pops up that you have to type the answer to before your time runs out. Get it wrong, and you lose a heart. Lose all 5 hearts, and the road fades to grayscale with a big red GAME OVER.

The questions pull from a shuffled pool covering Juneteenth, civil rights and women's suffrage history, Alan Turing and computing pioneers, and World Cup soccer, tying directly into this jam's themes of Pride month, Juneteenth, and the World Cup mentioned in the challenge prompt. The goal was to make learning a bit of history feel like an arcade game instead of a quiz.

🔗 Play it live: https://road-buddy.netlify.app

Video Demo

Code

MasterIfeanyi / road-buddy

This is a Next.js project bootstrapped with create-next-app.

Getting Started

First, run the development server:

npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun dev

Open http://localhost:3000 with your browser to see the result.

You can start editing the page by modifying app/page.js. The page auto-updates as you edit the file.

This project uses next/font to automatically optimize and load Geist, a new font family for Vercel.

Learn More

To learn more about Next.js, take a look at the following resources:

Next.js Documentation - learn about Next.js features and API.
Learn Next.js - an interactive Next.js tutorial.

You can check out the Next.js GitHub repository - your feedback and contributions are welcome!

Deploy on Vercel

The easiest way to deploy your Next.js app is to use the Vercel Platform from the creators of Next.js.

Check out our Next.js deployment documentation for more…

View on GitHub

How I Built It

The game is built with Next.js (JavaScript, no TypeScript) and Tailwind CSS. The road and car are layered PNGs, with a CSS keyframe animation scrolling the road background to simulate forward motion without any actual physics engine.

Game state (hearts, score, current question) lives in React state, with hearts and score persisted to localStorage so progress survives a page refresh. Questions are generated from small, accurate datasets combined with reusable templates rather than hardcoded one by one. For example, a single list of World Cup years, hosts, and winners generates multiple question types (host, winner, title count) instead of needing a separate handwritten question for each fact, the same approach was used for civil rights and computing history figures.

A custom hook-based timer schedules the next question only after the current one is answered, avoiding the classic bug where a slow setInterval causes questions to stack up back to back.

Prize Category

Submitting for Best Ode to Alan Turing. Turing trivia (the Turing Test, Enigma, the Turing machine, and his role in founding computer science) is built directly into the question pool the player encounters while driving, so honoring his legacy is part of the core gameplay loop rather than a side mention.

Team:

Built by @rae_codes and @ifeanyichima.

Daily Briefing Platform

Aliu Raheemah — Sat, 23 May 2026 19:54:06 +0000

This is a submission for the Gemma 4 Challenge: Build with Gemma 4

What I Built

Daily Briefing is a personalized AI-powered morning dashboard that gives you everything you need to start your day, in one place. Instead of opening five different apps and tabs every morning, you open Daily Briefing and get your local weather with a season-aware tip, live stock prices with AI market commentary, top global news rewritten into clean summaries, a word of the day, a joke, a dog of the day with a breed-specific fun fact, and three historical events that happened on this exact date in history.

The entire content layer of the app is generated by Gemma 4. Raw data feeds (weather, stocks, news headlines, a dog image) are fetched first, then passed to Gemma in a single prompt that produces all the human-readable content at once. Nothing the user actually reads is hardcoded or pulled from a static source.

The app is also timezone-aware. It detects the user's location coordinates, maps them to their local timezone, and uses that timezone for the greeting, the date used in the AI prompt, and the historical events. A user in Lagos and a user in Tokyo get a briefing that is correct for their local date and time of day.

Demo

Live site: https://ifeanyi-brief.netlify.app

Code

Github Repo: https://github.com/MasterIfeanyi/daily-briefs

How I Used Gemma 4

We used the Gemma 4 26B MoE model (google/gemma-4-26b-a4b-it:free) accessed via OpenRouter.
We chose the 26B Mixture-of-Experts variant specifically because of the nature of our task. Every morning, a single prompt asks the model to do several different things simultaneously: rewrite news headlines, analyze market sentiment, generate a vocabulary word with etymology, write a joke, produce breed-specific trivia about a dog, write a weather tip that accounts for the user's local season and climate, and recall three verified historical events for today's date. That is a high-breadth reasoning task, not a deep single-topic task. The MoE architecture is designed exactly for this: routing different parts of a complex prompt to specialized experts efficiently, which means we get broad, high-quality output without sacrificing speed or burning through tokens unnecessarily.
The 128K context window also gave us confidence to pass the full raw news data array and detailed stock information directly into the prompt without worrying about truncation.

Gemma 4 powers the following features directly:

News summaries - raw headlines are rewritten into clean, readable stories
Stock commentary - one sentence of market context based on live price and change data
Word of the Day - a real, interesting English word with definition, part of speech, example sentence, and language origin
Joke of the Day - a clean, family-friendly joke generated fresh each day
Dog fun fact - a specific, surprising fact about whatever breed the dog API returned that day, not a generic placeholder
Weather tip - a practical, friendly sentence about what to expect based on the user's actual location, current weather data, and the typical season for that region
On This Day - three verified historical events that happened on the user's local calendar date, across different centuries and topics

All seven of these replace what would otherwise have been either separate third-party API calls or static hardcoded content. The result is a website where the core of what you read every morning is genuinely AI-generated.

Team:

Built by @ifeanyichima and @rae_codes

DEV Community: Aliu Raheemah

Buddy

What I Built

Video Demo

Code

MasterIfeanyi / road-buddy

Getting Started

Learn More

Deploy on Vercel

How I Built It

Prize Category

Team:

Daily Briefing Platform

What I Built

Demo

Code

How I Used Gemma 4

Team: