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Pulse Foundry AI Hackathon Volume 2

devpostHosted on Devpost

Fetched 3 months ago

Sunday, March 22, 2026

to Sunday, March 22, 2026

FintechArtificial IntelligenceMachine LearningWeb DevelopmentHealthtech

Event Type

in person

13

Participants

1

Est. Projects

About the challenge Financial Advisors (FAs) are currently trapped between two worlds: the need for modern, timely client acquisition and the rigid, slow-moving requirements of FINRA and SEC compliance. In an industry where a "life event" (marriage, inheritance, job change) makes a prospect ripe for advice today, the current manual legal review process—often taking up to 6 weeks—renders most outreach obsolete before it is even sent. The goal of this hackathon is to build an intelligent engine that interprets provided high-intent signals and automates compliant outreach, transforming weeks of legal bottleneck into seconds of verified communication. The wealth management industry suffers from "Stagnant Lead Syndrome" in which advisors rely on static lists that don't reflect real-time financial triggers. Every email template and custom message must undergo a grueling review to ensure it isn't "promissory," "misleading," or lacking "proper disclosures." By the time a template is approved, the prospect has often already chosen a competitor or the financial window of opportunity has closed. Get started You will be provided with a curated list of enriched prospects. Your mission is to design a platform that identifies the "Who, Why, and When" of prospecting while serving as a Real-Time Compliance Officer. You must enable Signal Interpretation: Analyzing provided prospect data (Why Now reasons, match reasons, and brief summaries) to categorize specific life events. You must enable Intent Prioritization: Ranking the provided list to identify who is best to reach out to NOW (hint: leverage the included Urgency and ICP match scores). You must enable Verified Outreach: Generating personalized outreach that is pre-vetted & compliant against regulatory standards.

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