🌄 The Cloud Native Interactive Landscape filters and sorts hundreds of projects and products, and shows details including GitHub stars, funding, first and last commits, contributor counts and headquarters location.
🌄 Open Source AI & Data Landscape - provides overview of top tier projects in the open source AI and Data ecosystem, shows projects through GitHub data, funding or market cap, first and last commits, contributor count and much other information.
Predicting the likelihood of success for startups and their founders
Merge and Acquisitions Prediction based on M&A information from Crunchbase.
A Python tool utilizing Selenium for automated extraction of funding round data from Crunchbase.
Scraper to get data from crunchbase.com and read - write the data using SQLite database and JSON file.
I am assigned to a data collection task, to collect 2000 company information from [owler](www.owler.com) and [crunchbase](www.crunchbase.com) Collecting structured data by hand and feed them into an excel table is always boring and time consuming. So I tried to use web crawl method to solve it and save some time (50 hours work estimated).
Analysis of information about startup companies done using machine learning and data analytics methods to predict the success of the startup companies.
Scrape results from a curated list of unicorn startups for educational purposes and output as JSON
Machine learning on Crunchbase data set
A Ruby Library for CrunchBase API v4
Extract business intelligence from Crunchbase with Python scripts or the Bright Data API, offering scalable and reliable company data collection for any use case.
a lean and sustainable conscientious cannabusiness; target market? Black market.
Use CrunchBase data from 2013, before it was relicensed to deny commercial use without payment.
Import live, refreshable data from Crunchbase into Microsoft Excel and Google Sheets.
Add a description, image, and links to the crunchbase topic page so that developers can more easily learn about it.
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