web-based game 全栈开发工程师，需要英语沟通 (兼职，150-300 RMB / hr)

LanguageGuessr:
LanguageGuessr is an exciting online game that challenges players to identify languages from audio samples, similar to the popular GeoGuessr but for languages. We're looking for a talented and entrepreneurial developer to help take our project to the next level.You can play the game at https://languageguessr.io

How it works:

• a user gets 5 audio files per round a user gets full points
• if it guesses a country in which the language is spokenPosition

Overview:

We're seeking a self-starter full stack developer with experience in building products from 0 to 1. As a key contributor to LanguageGuessr, you'll work on various aspects of the application, from backend logic to frontend components, helping to shape and improve the user experience.

Tech Stack:
NextJS (TypeScript)
Supabase

Key Responsibilities:

• Develop and implement new gamification features, including achievements based on complex SQL queries
• Create and integrate multiplayer functionalityImprove algorithms for personalized user experiences
• Build and refine both backend logic and frontend componentsRapidly prototype and iterate on new features

Ideal Candidate:

• Proven experience in full stack development, particularly with NextJS and TypeScript
• Familiarity with Supabase or similar database technologies
• Strong background in building side projects or working at early-stage startups
• Ability to work independently and take ownership of features from conception to deployment
• Passion for language learning, games, or both is a plus

What We Offer:

• Opportunity to shape a unique language learning game from its early stages
• Flexible, remote work environment with no timezone restrictions
• Chance to work on diverse and challenging aspects of game development
• Potential for long-term growth as the project expands

Example Projects:

• Implement achievements like "Correctly guess all languages spoken in Asia
• Develop multiplayer functionality for simultaneous play
• Create algorithms for personalized audio file selection based on user history; eg how do you make sure that the user always guesses 60% correctly, regardless how correct they are. If previous round a user has only 1 correct, you give easier languages, if they had all correct, you give more difficult languages. But easiness differs per user

If you're an entrepreneurial developer with a track record of bringing ideas to life and a passion for creating engaging user experiences, we want to hear from you!