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Parsewave Game Jam 2026

unstopHosted on Unstop

Fetched about 2 hours ago

Wednesday, July 8, 2026

to Thursday, July 9, 2026

•

1 day long

UndergraduatePostgraduateEngineering StudentsManagementArts, Commerce, Sciences & OthersLawMedical
Student only
This hackathons is only open to students. Double check the event page for more information as this may mean only those from a particular university/country are eligible.

Event Type

online

4

Participants

$1,000

Prize Pool

0

Est. Projects

Parsewave Game Jam is a 24-hour solo online hackathon for developers who can build browser-playable games using AI agents and modern AI tools. Participants will build a web game within the hackathon window and submit the deployed game, public source code, README, and AI-agent traces. The goal is to evaluate both the final game and the way it was built. Format: Solo participation only. No teams. 24-hour online hackathon. Build window: July 9, 2026, 8:00 PM IST to July 10, 2026, 8:00 PM IST. Review: July 11, 2026. Open theme. Participants may build any browser-playable game. Prizes: 1st place: $500 2nd place: $300 3rd place: $200 Total prize pool: $1,000 Eligibility: Open worldwide. Students, graduates, and working professionals may participate. Participants must submit individually. Any AI tool is allowed, including paid tools, coding agents, chat assistants, asset-generation tools, and local tools. Submission Requirements: Participants must submit: A deployed browser-playable game URL. A public source code repository. A README explaining the game, how to play it, what was built during the 24-hour window, which AI tools were used, and any prior work or external resources used. One zip file containing AI-agent traces, chats, prompts, logs, or tool outputs from the build process. Credits/disclosures for any pre-existing code, templates, assets, open-source projects, tutorials, engines, or prior experiments used. Browser and Input Requirements: The game must run in a browser. Desktop and mobile browser games are both allowed. Any aspect ratio or input style is acceptable, including keyboard, mouse, touch, portrait, landscape, or fixed-canvas games. Originality and Prior Work: Participants may use game engines, frameworks, public libraries, tutorials, starter templates, AI-generated assets, and credited prior experiments. However, all such usage must be disclosed clearly in the README. Submitting an unchanged or lightly rebranded existing game is not allowed. Participants must clearly show what they built during the hackathon window. Judging Criteria: Submissions will be judged on: Game quality: how compelling, polished, playable, and complete the game feels. Technical execution: code quality, structure, reliability, performance, and deployment. AI workflow: how effectively the participant used AI agents to plan, build, debug, and improve the game. Original contribution: how much meaningful design, engineering, integration, and polish happened during the hackathon window. Review Process: Judges may inspect the deployed game, public repository, README, commit history, credits, disclosures, and AI-agent traces to understand how the game was made. After the Jam: Parsewave may reach out to selected candidates for further opportunities or full-time roles if we see a strong fit.

Judge Accessibility

Organizer email available25/25
Student-run event15/15
Actively looking for judges25/25
Small event (120 participants)10/10
No corporate sponsors10/10
New or emerging organizer10/10
Public registration available5/5
Online format (judge from anywhere)10/10

Top signals

Organizer email available
Student-run event
Actively looking for judges

Organizers

Alex Johnson

alex@example.org

Jamie Rivera

jamie@example.org

Sam Chen

sam@example.org

Estimated Audience

Mostly Students
ExperienceStudent
OccupationStudents
Beginner Friendly
Women in Tech

Technical Focus

AI95%
Web80%
Mobile25%

Industries

Healthcare
Education
Climate

Technologies

Python
React
OpenAI

Why this estimate

  • • Hosted by a university
  • • Open to students
  • • MLH member event

Estimate inferred from event metadata, not actual attendee data.

Quality Score

Quality Score

72/100
High confidence
Organiser16/20
Event Maturity14/20
Sponsors18/25
Participants12/20
Operations12/15

Why this score

Strong organiser track record
Returning event
Well-sponsored

Missing data

Prize details
Code of conduct