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Talent Hub Friday | Solana Privacy Hackathon Edition

lumaHosted on Luma

Fetched 6 months ago

Friday, January 16, 2026

to Friday, January 16, 2026

BlockchainFintechCybersecurityArtificial IntelligenceSocial Impact

Event Type

in person

48

Participants

$100,000

Prize Pool

4

Est. Projects

Welcome to Talent Hub Friday — a weekly session bringing together startup founders, developers, and operators in the financial and tech industries. Whether you're looking to learn more about web3, Solana or connect with collaborators; this is your space. Each week we spotlight opportunities, share resources, and help talent find their next move.Solana Privacy Hack is LIVE!Calling all builders, developers, and crypto-natives - Solana’s Privacy Hack 2026 has officially kicked off! This session will highlight this exclusive opportunity.This global hackathon challenges innovators to build the next generation of privacy-preserving blockchain applications and tools on Solana.Key dates:Opening ceremony: Jan 12, 2026Workshops & mentorship: Jan 12–16Submission deadline: Feb 1, 2026Prize pool & tracksOver $100,000+ in prizes, with multiple tracks:Private Payments - confidential transfers and privacy-first paymentsPrivacy Tooling - developer tools, infra, and primitivesOpen Track - any privacy-related innovation.Additional bounties are provided by ecosystem partners including Aztec, Arcium, Inco, Helius, and others.This hackathon accelerates privacy innovation on Solana, enabling builders to ship scalable, usable, and production-ready privacy solutions with hands-on support from mentors and workshops.

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