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BatchIn × GLM-5.1 + DeepSeek V4 Hackathon @ Boston Tech Week
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BatchIn × GLM-5.1 + DeepSeek V4 Hackathon @ Boston Tech Week

Build with GLM-5.1 (SWE-Bench Pro #1, 8-hour autonomous coding) and DeepSeek V4 (1T MoE, when available) through the BatchIn API. 3 days, 50–100 builders, $2,000 in API credits.

Date

May 26, 2026 – May 28, 2026

Location

Harvard i-lab, Boston

About the Event

BatchIn is partnering with Boston Tech Week to host a 3-day hackathon at the Harvard Innovation Lab (i-lab). Whether you're a student at Harvard/MIT or a developer in the Boston area, this is your chance to build cutting-edge AI applications powered by GLM-5.1 and DeepSeek V4 via a single BatchIn API.

GLM-5.1 currently leads SWE-Bench Pro among open-source models and supports up to 8-hour autonomous coding sessions. DeepSeek V4 (1T MoE) will be available in the event environment as soon as access opens.

Tracks

Track 1: GLM-5.1 Agentic Engineering

Build the best project using GLM-5.1 for long-horizon autonomous coding, agent planning, and multi-step execution.

Track 2: DeepSeek V4 Reasoning Pipeline

Build the best reasoning and batch pipeline using DeepSeek V4 through BatchIn's API, optimized for quality, throughput, and reliability.

Prizes

Place Prize
🥇 1st Place $500 API Credits
🥈 2nd–3rd Place $300 API Credits each
🏅 4th–5th Place $200 API Credits each
🎖️ 6th–10th Place $100 API Credits each

Total Prize Pool: $2,000 in API Credits

Schedule

Time Activity
Day 1 (May 26) — 10:00 AM Opening ceremony & team formation
Day 1 — 11:00 AM Workshop: Getting Started with BatchIn API
Day 1 — 12:00 PM Hacking begins 🚀
Day 2 (May 27) — All day Hacking + mentor office hours
Day 3 (May 28) — 2:00 PM Project submissions due
Day 3 — 3:00 PM Demo presentations
Day 3 — 5:00 PM Judging & awards ceremony

Judges

  • Andy Wang — Co-founder & CEO, BatchIn. Former infrastructure engineer with deep expertise in distributed systems and AI deployment.
  • Prof. David Chen — Associate Professor of Computer Science, Harvard University. Researcher in large language model efficiency and deployment optimization.
  • Dr. Sarah Liu — Postdoctoral Fellow, MIT CSAIL. Specializes in AI agent architectures and multi-step reasoning systems.

FAQ

Q: Who can participate? A: Anyone! Students, developers, researchers — all skill levels welcome. You must form teams of 1–4 people.

Q: Do I need to bring my own hardware? A: No. All inference runs on BatchIn's cloud. Bring your laptop and ideas.

Q: Is it free to participate? A: Yes. Registration is free. Meals and drinks provided.

Q: Can I start building before the event? A: You can brainstorm and plan, but all code must be written during the hackathon.