Join the Hackathon
To participate, sign in and register for the event.
Browse Teams (14)
| Name | Description | Team | Status |
|---|---|---|---|
|
LiveKit
|
Team led by Tina Nguyen, LiveKit Software Engineer Intern skilled in Java, Processing, Python, game/physics simulation, and Git/GitHub. |
|
Accepted |
|
AlwaysLateToEverything
|
Team led by an AI engineer/owner at Big Data & OpenSource Consulting, MS Applied AI, specializing in Python, SQL, MongoDB, MLOps and agentic LLM systems. |
|
Accepted |
|
agentscaffolds
|
Team led by a Staff AI Engineer, Ramesh Arvind (Starbridge.ai), MS CS (Georgia Tech), Python/PyTorch expert in RL, few‑shot/transfer learning and production ML pipelines. |
|
Accepted |
|
NYFX AI Trader
|
Team led by a Quantum AI BIM IT Manager / AI Engineer (Quantum Khipus, March Architects) with 16+ years—Revit/Vault, Python/R, SQL Server clusters, Arduino/Raspberry IoT. |
|
Accepted |
|
BetaMoats
|
Team led by a CMU‑educated AI Engineer (Lifetime Brands) specializing in TypeScript/Python, AWS, Next.js, invoice/form extraction and Slack/CRM automation. |
|
Pending (1 of 2) |
|
Syuzhet
|
Trade liquid, yield-bearing prediction assets on on-chain markets where intuition, narrative-driven belief, and community participation determine value and risk. |
|
Accepted |
|
Fundamental Forecasters
|
Measure calibration error/biases across Kalshi markets, grouping by odds, political lean, and market type to improve risk/betting edge. |
|
Accepted |
|
2nd-place
|
Team led by a Quizlet Software Engineer, Kevin Hu, experienced in building AI/ML-driven adaptive learning tools and scalable platform features—practical product engineering and ML expertise. |
|
Accepted |
|
Hacking Capital
|
Team consisting of Syed Shah (AI SWE, NYU), Vassili Skarine (Snowflake engineer, Waterloo), Wenqing Li (Antra SWE, NYU) — Go, TypeScript, Python, AWS, Snowflake, LLMs. |
|
Accepted |
|
InvestmentAnalyst
2nd Place
|
Team lead by Consultants, Investors to build Investment Analyst Agent can do research on trend and write report. |
|
Accepted |
|
Aigent MoneyPenny
1st Place
|
Audited chat/API turning natural language into intents for QriptoCENT micro-slippage trades; submits to orchestrator/risk manager; never executes or holds keys. |
|
Accepted |
|
budget_it
3rd Place
|
Team consisting of Charles Inwald (Senior Backend Engineer, Point72 — Python, FastAPI, React, Rust, AWS) and Neh Majmudar (PhD student, CUNY — multilingual NLP, Bayesian modeling). |
|
Accepted |
|
Alex Youssef
|
Team led by a KCap Bio Fund Hedge Fund Analyst and ML/Data Engineer (MD; MS/PhD Stanford & Oxford), specializing in RL and multi‑modal price models. |
|
Accepted |
|
Team LGO
|
Learn Flow: an AI-powered, hands-on finance platform teaching budgeting, investing, and cash-flow forecasting through simulated decisions with instant AI feedback. |
|
Accepted |