from-1-to-many-hackathon.ipynb
# Initializing from-1-to-many-hackathon_final-final-v3.ipynb...
Loading event data
Importing supporters
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Rendering interface
Status:
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from-1-to-many-hackathon_final-final-v3.ipynb
Status: Ready
In [1]:
# Summary
print(`Hackathon [target_audience] can't refuse`)
Output:

Online Hackathon for AI/ML Agencies

Turn your AI agent into a self-service, scalable product — and land your first customers - in 1 day!

From 1 To Many (customers)

Hackathon1NowFriday, 1st of August 2025
Start In The Morning, Scale In The Evening
In [2]:
# Organizers & supporters
organizators.filter(company => company.status === 'active').map(s => print(s.name))
Output:

Organizators Matrix

AlgOps
Hewlett Packard Enterprise
Macaly
Zerops
Orgs Matrix
In [3]:
# Timeline
function generateGanttChart(): VisualTimeline
Output: Interactive Gantt Timeline
Output: Weekend Schedule
Start In The Morning, Scale In The Evening
defineGoToMarket
Friday
Morning (9:00-12:00)
30min talk1hr workshop
Outcome: Learn who you should sell to, where to find them, and how to win them over.
scaleDelivery
Friday
Noon (12:00-15:00)
30min talk1hr workshop
Outcome: Get your product deployed on the cloud, ready to serve thousands of customers daily.
automateOnboarding
Friday
Afternoon (15:00-18:00)
30min talk1hr workshop
Outcome: Implement a self-service flow that onboards new customers for you.
launchEvent
Friday
Evening (18:00-21:00)
GO LIVE!
Outcome: Go live and the organizers and advisors will use their network to get you your first customers.
Talk (30min)
Workshop (1hr)
GO LIVE!
In [4]:
# Requirements
core_product==1.0.0# Working API (internal/single customer)
api_interface==0.8.5 # Simple API interface
customer_base>=1 # Currently serves ≥1 customer
usage_stats==0.5.2 # Usage statistics (preferred)
case_study==0.3.1 # Written case study (gold standard)
In [5]:
# Advisors
from industry_expertsimport advisors
Jakub Stupka
Jakub Stupka
Director of AI agents
Bloomreach
Lukas Holovsky
Lukas Holovsky
CEO
AlgOps
Ales Rechtorik
Ales Rechtorik
CEO
Zerops
Dima Melnik
Dima Melnik
Pricing specialist
Freelance
Jenda Perla
Jenda Perla
Member of communication council
Forbes
In [6]:
# Prizes
if successful_launch:
rewards = algops_credits(20% ∞) + zerops_credits(20% ∞)
if successful_launch: rewards += exposure_to_10plus_customers + advisor_social_exposure
Evaluation result:

Launch = 20% more credits for lifetime ∞ + exposure to 10+ customers on Sunday + advisor social media exposure

In [7]:
# Registration
defexecute_application():TypeformModal
Ready to execute:

# Will open Typeform modal for registration