Data-Driven VC Hackathon
➡️ More information on the event here
Red River West & BivwAk! by BNP Paribas are organizing the first-ever Data-Driven VC Hackathon.
The event is open to everyone with coding skills. The goal is to mix industry specialists (more than 30 VCs from funds all over Europe will be present), students, and developers from all backgrounds who will be mixed in teams of 3 to 5.
They will have 2 days to build tools leveraging various data sources to improve how venture capital investors work (tools to spot or analyze startups, to spot market trends, to automate parts of the VC work, etc.)
They’ll be able to leverage API from tier 1 data providers (PeopleDatalabs, SimilarWeb, PredictLeads, and others).
Prizes:
Winning team:
For team members: 1000€ in a multi-brand gift card per team member taking part in the development of the project
For funds in the team (that are not already clients): 1 year of unlimited free API access to PredictLeads data + 1 year of access to PeopleDataLabs API with a limit of 1M calls
2nd team:
For team members: 300€ in a multi-brand gift card per team member taking part in the development of the project
For funds in the team (that are not already clients): 1 year of free API access to PredictLeads data with a limit of 50k calls per month
3rd team:
For team members: 100€ in a multi-brand gift card per team member taking part in the development of the project
For funds in the team (that are not already clients): 1 year of free API access to PredictLeads data with a limit of 10k calls per month
Bonus: A lot of VC funds and corporates present during the event are searching to hire data scientists & developers in a full-time position or as interns. It's the occasion to get a job in one of those companies or get to know VCs for your startup project 🥂
Practical information
🍕 Food & beverages will be provided by the organizers during the entire hackathon
💻 Bring your own device
How you can participate:
If you are a product, data, or tech profile within a VC fund, a student, or a developer/data scientist from any background, fill down the inscription form, and we will get back to you soon! The places are limited to 80 people so be quick :)
🤝 Rules
Teams & people
Please select a set of themes you’d like to work on (and if needed, suggest individuals you’d prefer to collaborate with). Based on your preferences, we’ll organize teams accordingly. The finalized team composition will be shared with you one week before the event. Once teams are formed, you’ll have the freedom to choose any project within your selected theme. To help you get started, we’ll also provide a list of potential project ideas.
Size: 3 to 5 people (with at least 1 data-driven VC as a participant and one as a coach + 1 to 2 students).
Who can participate? Any person who wishes to participate must have basic coding and data skills and be free to fully participate during the 2 days.
Projects & subject
The hackathon projects selected during the event should focus on one of the following topics:
VC productivity: any tool to enhance VC productivity (e.g. automation, personalized e-mail drafting tool, news summary, etc.)
Startup sourcing: tools to spot trendy or new startups through a lot of different data sources
Startup analysis: tools to quantitatively analyze startups
Market trends & search: tools to identify tech market trends early on, and to find startups in specific markets (by leveraging vector search, etc.)
Other
Participants must produce a working prototype with a presentable demo that will be published on GitHub with an Open-Source MIT license within 2 days.
Winning projects are chosen by a Jury composed of VCs and LPs (members of the jury will be part of Red River West, BNP, Atomico, BPI, and others).
Partners:
People Data Labs: people and company data for understanding the workforce.
SimilarWeb: data on 100M+ websites, 8M apps across 210 industries, and 190 countries into an intuitive UI that visualizes trends and surfaces timely & actionable insights.
PredictLeads: Company-level intelligence for 75+ million businesses, which includes signals such as product launches, C-level changes, key-hire updates, M&A activities, and more.
Data-Driven VC: first media about AI and Data for VC and startup investors.