from-1-to-many-hackathon.ipynb
# Initializing from-1-to-many-hackathon_final-final-v3.ipynb...
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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 RAG agent or workflow into a self-service product

From 1 To Many (customers)

Demo day1NowRAG Summit in March 2026
In [2]:
# Organizers & Partners
organizators.filter(company => company.status === 'active').map(s => print(s.name))
Output:

Partners Matrix

AlgOps
Hewlett Packard Enterprise
In [3]:
# Timeline
function generateGanttChart(): VisualTimeline
Output: Interactive Gantt Timeline
Output: Weekend Schedule
Start In The Morning, Scale In The Evening
Workshop 1
February
Week 1-2
1hr workshop
Outcome: Learn foundational concepts and best practices for your product development.
Workshop 2
February
Week 3-4
1hr workshop
Outcome: Advanced techniques and strategies to scale your product and reach customers.
Launch Event
March
Week 2
GO LIVE!
Outcome: Go live and the organizers and advisors will use their network to get you your first customers.
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]:
# What should I build?
if not_sure_what_to_build:
agent_types = most_demanded_by_customers()
Output: Agent types with highest customer demand
1

Policy Evaluation Agents

Automated analysis of insurance policies, coverage validation, and risk assessment across multiple policy documents.

2

FNOL Agents

First Notice Of Loss automation - intelligent claim initiation, initial assessment, and documentation collection from customers.

3

Claim Evaluation Agents

Comprehensive claim review and validation using historical data, policy terms, and fraud detection patterns.

4

Customer Review Analysis

Sentiment analysis and feedback categorization from customer interactions to identify trends and service improvements.

5

Regulatory Compliance Agents

Continuous monitoring and enforcement of regulatory requirements, audit trail generation, and compliance reporting.

6

Billing & Payment Reconciliation

Automated invoice processing, payment matching, discrepancy detection, and account reconciliation workflows.

7

Document Comparison Agents

Compare documents for completeness, consistency, and accuracy - identify missing sections, outdated information, and discrepancies.

8

KYC Agents

Know Your Customer automation - identity verification, risk assessment, sanction screening, and onboarding workflows.

9

Vendor Analysis Agents

Vendor evaluation, performance monitoring, contract analysis, and risk assessment for procurement and supply chain.

10

RFI/RFP Analysis Agents

Automated parsing and analysis of RFI/RFP documents, proposal response generation, and requirement matching.

→ Next step: Pick any agent type above, build it as a self-service product, and launch it at the hackathon. The market is waiting.

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

# Will open Typeform modal for registration