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晚安,黑客 · Good Night, Hackers -- Healthy & Longevity-friendly Hackathon

lumaHosted on Luma

Fetched 1 day ago

Thursday, May 21, 2026

to Friday, May 22, 2026

•

1 day long

Artificial IntelligenceHealthtechData Science

Event Type

in person

73

Participants

¥14,000

Prize Pool

6

Est. Projects

中文版(English version below) 中文参赛指南 别再用熬夜证明创造力了。这一次,我们想看看:不通宵,能不能赢。这是一场 24 小时 AI 黑客松,也是一场关于开发者状态、AI 工具效率和未来工作方式的小实验。你可以做任何有趣的 AI 项目:Agent、产品 Demo、健康数据应用、效率工具、整活项目都可以。但这一次,我们不奖励“最能熬的人”。我们更想奖励:更会使用 AI 的人、更会设计系统的人、更会照顾自己的人。 你来这里做什么? 在 24 小时内,完成并提交一个能被展示的 AI Demo: 一个能跑的网站一张项目海报一个公开 GitHub repo 夜晚你可以回家睡觉,看看你的 Agent 能不能继续替你干活。 活动信息 时间:2026 年 5 月 21 日 - 5 月 22 日地点:上海,具体地址 RSVP 后公布形式:个人参赛,不组队奖池:¥14,000+名额:有限,约 30% 录取率 Mandatory Sessions 必须参加环节 为保证参赛规则、项目展示和最终评审流程完整,所有参赛者必须参加以下两个环节: 1. 开场阶段|5 月 21 日 10:00 – 10:40Kickoff、赛事规则说明、提交要求、奖项介绍、主办方与合作伙伴介绍。 2. 结束阶段|5 月 22 日 14:00 – 16:00Demo Day、项目展示、评委点评、颁奖与闭幕。 English Version English Hackathon Handbook Stop proving your creativity by not sleeping.This time, we’re asking a different question:Can you still win if you actually get some rest?Good Night, Hackers is a 24-hour AI hackathon — and a small experiment in how builders work when AI tools, agents, and health data are part of the loop.Build anything AI-native: an agent, a product demo, a health-data tool, a productivity workflow, or something weird enough that people can’t stop talking about it.The only difference?We’re not looking for the person who can suffer the longest.We’re looking for builders who can use AI well, design smarter systems, and keep themselves functional while shipping. What are we building? In 24 hours, ship an AI demo that people can actually open, understand, and try. Your final submission should include: A working websiteA project posterA public GitHub repo At night, you’re encouraged to go home and sleep.Your agent can keep working. Or at least try. Event Info When: May 21 – May 22, 2026Where: Shanghai, exact venue shared after RSVPFormat: Solo hackathon, no teamsPrize Pool: ¥14,000+Slots: Limited, around 30% acceptance rate Mandatory Sessions To make sure everyone is aligned on the rules, submissions, demos, and judging process, all participants must attend the following two sessions: 1. Opening Session|May 21, 10:00 – 10:40Kickoff, rules, submission requirements, prize categories, and host / partner introductions. 2. Final Session|May 22, 14:00 – 16:00Demo Day, project presentations, judge feedback, awards, and closing. 主办方 Hosts Regenerative Bio × muShanghai Longevity × Norther Lab Regenerative Bio围绕健康衰老、器官年龄管理与 AI 健康管理的科技健康公司,本次活动的健康数据 & 开发者状态合作伙伴。A health-tech company focuses on healthy aging, organ-age management and AI health management; our health-data & developer-state partner. muShanghai LongevitymuShanghai 旗下的长寿科技与文化体验项目,依托为期一个月、汇聚 50+ 国家 2,000 位 Builder 的 muShanghai 生态(由 The Mu × 阿里巴巴虹桥中心联合主办),融合前沿科技与传统文化,向世界展示贯穿古今的中国力量。The longevity-tech & cultural-experience track of muShanghai — an Alibaba Hongqiao Center × The Mu month-long event with 2,000 builders from 50+ countries — where frontier technology meets traditional Chinese culture to showcase China's enduring power across past and present. 失序实验室 Norther Lab面向 AI native 创始人与开发者的社区。我们和真正在场的人一起,在失序的 AI 浪潮中重构新的秩序。A community for AI-native founders and developers. We forge new order from the chaos of the AI wave. 联系方式 Contacts Avrilyn @ Norther Lab · WeChat Avrilyn_1110 · ✉️ liavrilyn@gmail.comFrank Ji @ muShanghai · WeChat franklonely · ✉️ frank.ji@aya.yale.eduYiding @ Regenerative Bio· ✉️ zhangyiding@regen-bio.com 合作伙伴 Partners 36Kr,极客公园,硅星人,JE Labs

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