Week #1 #

Project description #

Project name: ProjectOR #

Code repository: https://github.com/IU-Capstone-Project-2025/ProjectOR

This platform allows creators to post startup ideas, developers to explore and join projects, and teams to collaborate efficiently. It also features a “startup graveyard” to document failed ventures, providing valuable insights for future innovators.

Team Members #

Brainstorming #

Ideas during brainstorming #

1. Project Matchmaking System Automatically recommend projects to developers based on skills, interests, and availability.

2. Skill Badging & Profile Verification Allow users to earn badges for specific skills and verify profiles to build trust within the community.

3. Startup Graveyard with Analytics Analyze reasons for project failures (e.g., lack of funding, team issues, market mismatch) to help others avoid common pitfalls.

4. Idea Validation Tool Enable users to vote, comment, and provide feedback on startup ideas to quickly gauge market interest.

5. Collaborative Task Boards Integrated Kanban boards or task management tools for seamless team collaboration within the platform.

Brief market research / problem validation #

1. Project Matchmaking System
   • Platforms like GitHub, Indie Hackers, and AngelList allow developers to discover projects, but lack tailored, skill-based matchmaking.
   • Competitors focus mainly on job placement, not on passion projects or early-stage startups.
2. Startup Graveyard with Analytics
   • The failure rate for startups remains high (~90%), yet there is limited structured learning from these failures in most startup platforms.
   • Aspiring entrepreneurs actively seek real failure stories to avoid common mistakes.

Basic requirements #

Target users and their primary needs #

• Startup Founders Need: Find skilled developers, validate ideas, document startup journey.

• Developers Need: Discover interesting projects, join meaningful teams, build portfolio.

• Entrepreneurs / Innovators Need: Learn from failed startups, avoid common mistakes, get inspiration.

User stories #

• As a startup founder, I want to post my project idea so I can attract developers and collaborators.

• As a developer, I want to browse and filter projects based on my skills and interests so I can join relevant teams.

• As a founder or team member, I want to track project progress and share public roadmaps to increase transparency.

• As a user, I want to read and contribute to the startup graveyard to learn from past failures.

Initial scope #

• User authentication and profile creation

• Posting and browsing startup ideas

• Basic project matchmaking (filter by skills, interests)

• Startup graveyard with submission and browsing functionality

Tech-stack #

Frontend: Svelte, TypeScript, pnpm, Vite, shadcn/ui, Tailwind CSS Backend: Python, uv, FastAPI, SQLAlchemy, Pydantic Database: PostgreSQL, Redis DevOps: Docker, GitHub Actions (for CI/CD), k8s

Weekly commitments #

Individual contribution of each participant #

• Almaz Andukov: Prepared basic structure and boilerplate of the backend project; create a clean architecture layout for the API; created health-check endpoint

backend boilerplate commit

• Timur Nabiullin: Configured build adapter for svelte; Created nginx configuration; Created Dockerfile for frontend; Created Dockerfile for backend; Created docker compose file; Ensured the boilerplate is runnable; Tested the integration

Deploy commit

• Nikita Timofeev: Prepared basic structure and boilerplate of the frontend project; configured prettier, eslint, shadcn/ui; added button component and basic page

Frontend boilerplate commit

Initial repository structure commit

• Kirill Karsakov:

Created task board; Created weekly tasks and distributed them among all participants; Conducted research; Defined the initial project scope; Drafted 3–5 high-level user stories; Wrote the project report

report images commit

Confirmation of the code’s operability #

We confirm that the code in the main branch:

• In working condition.
• Run via docker-compose (or another alternative described in the README.md).