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GTM Hackathon

lumaHosted on Luma

Fetched about 2 hours ago

Thursday, July 23, 2026

to Thursday, July 23, 2026

Artificial Intelligence

Event Type

in person

GTM Hackathon Hosted by Founder Social Club Most companies do not lose because the product is bad. They lose because the message is unclear, the audience is too broad, the outbound does not land, or the team is testing too many things at once. This GTM Hackathon is for founders, GTM operators, sales, business development, partnerships, and growth professionals who want to build, test, and sharpen how they go to market. Over the course of the evening, teams will work on a real GTM challenge. That could include positioning, outbound, partnerships, landing pages, launch strategy, customer discovery, or turning attention into pipeline. You will have time to build, receive feedback, share what you worked on, and hear from judges who will select a winner at the end. The 5 GTM Tracks Each track is designed to be built within one evening. Every track answers the same core question: How do you find, reach, or convert customers better? Track 1 — Outbound and Signal-Based Prospecting Build: A signal-triggered outbound motion. Identify an intent signal, build a targeted list, and create personalized, multi-touch sequences. Bonus points for building an agent that sources prospects and executes the outreach. Deliverable: A live outbound campaign with an ICP, signal, prospect list, and sequenced messaging, or an automation that sources and personalizes outreach at scale. Judged on: The sharpness of the targeting and messaging, whether the signal and timing logic are credible, and whether the campaign could realistically book meetings. Track 2 — Inbound and Website Conversion Build: Turn website traffic into pipeline through an interactive experience, qualification flow, or high-converting landing or launch page. Deliverable: A live landing or launch page, or an on-site agent that qualifies visitors and books meetings. Judged on: Conversion logic, clarity of positioning, overall polish, and how effectively the platform is used. Track 3 — Paid and AI-Native Distribution Build: A paid acquisition experiment that includes ad creative, targeting, a landing experience, and measurement, or a distribution and monetization concept inside AI applications. Deliverable: A paid campaign concept with creative, audience, budget logic, and a measurement plan, or an AI-native advertising or intent-based placement. Judged on: Creative quality, targeting and intent logic, measurement rigor, and the novelty of the channel. Track 4 — Lifecycle, CRM, and Personalization Build: A lifecycle or CRM automation, onboarding and nurture flow, segmentation strategy, or behavior-driven personalization system. Deliverable: A working lifecycle flow or personalization engine connected to sample data. Judged on: How effectively the solution uses data, the relevance of the personalization, and whether it could improve activation or retention. Track 5 — Organic Content and Founder-Led Distribution Build: An organic content engine or founder-led distribution motion. This could include a content generation and repurposing system, a launch content kit, or a founder-led sales playbook. Deliverable: A system that produces one week of channel-specific content, or a founder-led content and outbound playbook with real assets. Judged on: Distinctiveness of voice, quality and volume of the output, and whether there is a clear plan to test it the following week. Who Should Come Founders GTM operators Sales and business development professionals Partnerships and growth teams Builders who want to get better at finding, reaching, and converting customers Format 5:00 PM — Doors open and networking 5:30 PM — Kickoff, rules, and judging criteria 5:45 PM — Team formation and GTM challenge selection 6:00 PM — Build sprint begins 8:00 PM — Build sprint ends 8:00 PM — Team presentations and judging 8:45 PM — Winner announced and prize 8:50 PM — Closing remarks and networking 9:00 PM — Event ends Come with a company, product, idea, or GTM challenge. The goal is to leave with something useful: sharper messaging, clearer next steps, and a few real people who can help you think through what to test next. Meet the Organizer — Founder Social Club Founder Social Club is a curated community built to eliminate the loneliness of building a startup. We bring founders, operators, and builders together through events, dinners, working sessions, and honest conversations. Real relationships. Real feedback. Real opportunities. This event is Sponsored by Simular AI Simular is an autonomous computer company.  Our flagship product, Sai, is an always-on AI coworker: a zero-setup, supercharged "Codex" running on a dedicated remote computer. Backed by the highest success rate on the OSWorld computer-use benchmark, Sai uses your computer the way you do (clicking, typing, browsing) and also writes code, calls APIs, and orchestrates tools like Claude Code, all from plain-Language instructions. By registering, you acknowledge that participation is voluntary and at your own risk. Founder Social Club, its organizers, co-hosts, sponsors, and the venue are not responsible for injuries, lost items, or damages. By attending, you consent to photos and recordings being captured and used for promotional or marketing purposes. You also agree to receive event updates and invitations from Founder Social Club, co-hosts, and sponsors. Co-hosts and sponsors may follow up with you directly with resources, services, or opportunities relevant to your participation. You may unsubscribe from these communications at any time.

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