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Programmable Money Hackathon

encodeclubHosted on Encode Club

Fetched about 22 hours ago

Sunday, July 12, 2026

to Sunday, August 30, 2026

•

2 months long

FintechBlockchainWeb DevelopmentInnovationNetworking

Event Type

online

514

Participants

46

Est. Projects

Build on Arc. Ship something real. Why Arc Arc is Circle's stablecoin-native L1. USDC is the gas token. Fees are predictable and denominated in dollars. Settlement is sub-second. Circle's full developer platform is built in. If you've worked with Ethereum, you already know the tooling. The difference is what you're building for. Tracks DeFi - Lending, borrowing, swaps, liquidity, FX, yield. Stablecoin-native DeFi with predictable fees, instant settlement, and no volatile gas token. Build the financial applications that work for real money. Agentic Economy Build AI-driven financial systems: Agents that manage wallets and rebalance funds across chains Autonomous payment systems for services and APIs Machine-to-machine commerce using stablecoins Arc enables deterministic fees and real-time settlement—critical for autonomous systems. Payments & Treasury Build real-world financial infrastructure: Cross-border payment systems Global treasury dashboards Stablecoin payment APIs Multi-currency settlement flows Use Arc’s native primitives to move money across chains and currencies. Who should apply Teams who want to build a product and take it to market. The top teams will be offered places in an 8-week accelerator programme, to support your journey from Hackathon to launch. You should be here to build something you'll still be working on in six months.

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