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The Agentic GTM Hackathon by Anthropic, FullEnrich & Sillage

lumaHosted on Luma

Fetched about 1 hour ago

Thursday, July 9, 2026

to Thursday, July 9, 2026

Artificial Intelligence

Event Type

in person

Anthropic, FullEnrich and Sillage invite the sharpest builders, sellers, and GTM engineers for a full-day hackathon to answer one question: what does AI-native revenue look like when you actually build it? Bring your team, bring your use case, and go all-in. ​🎯 The goal Build production-ready GTM agents surrounded by Anthropic and GTM experts. Think outreach sequencers, ICP scoring engines, CRM auto-updaters, and pipeline risk monitors. If it moves the needle for sales teams, it qualifies. 👤 For whom GTM engineers / RevOpsSales reps & executivesB2B founders Come with a team or build one during the breakfast. Team size: 2-6 members. 🏆 Prizes 🥇 Gold - $5.000 cash + $3.000 Anthropic credits 🥈 Silver - $3.000 cash + $1.500 Anthropic credits 🥉 Bronze - $2.000 cash + $500 Anthropic credits Mystery gifts for category winners ✨ 📆 Agenda 8:30 Welcome breakfast9:00 Kick-off with a short intro on each building block9:30 Build sprint, final project submission at 5:306:00 Pitch in front of the jury8:30 Afterparty 🛠️The stack 🧠 Claude (Anthropic) - the AI backbone for reasoning, writing, and agent orchestration📡 Sillage - all kinds of intent signals: job changes, champion tracking, competitor engagement, hiring intent🗂️ FullEnrich - contact enrichment: verified emails, phone numbers, people and company data Free credits will be handed to participants. 📍Where Station F, Paris, Share Zone Spots are limited - apply to confirm your seat

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