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*Shrey: Find "demo day" keywords, so that we can search AcceleratorName Year Keyword and get back potential demo day pages==Other Listed To Dos==
It is unclear if any *We have compiled a very long list of accelerators from many different databases. For the past couple of these tasks weeks, everyone in the center has been going through this list, 20 at a time, classifying each one as an accelerator or not an accelerator, and then proceeding to gather data on the accelerator using the process outlined below. This process went very smoothly. We have been done since successfully gone through about 80% of the list. We are still missing information on the last hundred or so names. All of the collected data is located on the RDP, within the update "Accelerators" folder under "Data" or on 05the [https:/21/docs. I will begin by seeing which google.com/spreadsheets/d/1ikuxYwp9JIRrjz4qQcbdwTpbHOne-q2PterYTjzofjw/edit?ts=5aa2f1f9#gid=1132417337 "Accelerator Master Variable List" Google sheet].*We have listed all of these things the startups from the accelerators that have break out cohorts on their website on the [https://docs.google.com/spreadsheets/d/1ikuxYwp9JIRrjz4qQcbdwTpbHOne-q2PterYTjzofjw/edit?ts=5aa2f1f9#gid=1132417337 "Accelerator Master Variable List" Google sheet]. This contains the following information in the "Cohort List (new)" sheet: accelerator name, year, cohort name, company name, description, founders, category/sector, and location. *Next steps include going through the demo day pages that have been carried outdownloaded and writing notes on the different types if possible (see [[Demo Day Page Google Classifier]]).
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===An Overview===
This project will be used to determine which accelerators are the most effective at churning out successful startups, as well as what characteristics are exhibited by these accelerators. First, we need to gather as much data as we can about as many accelerators as we can in order to look at factors that differentiate successful vs. unsuccessful ventures. Next, we need to create a web crawling program which will gather information about accelerators across the world by accessing their websites and extracting information. I believe that our overall goal with this research project is to gain insight into the methods of successful accelerators, as well as to find out what exactly differentiates very successful accelerators from dead accelerators.
Helpful Links: http://seedrankings.com/
This project is developing broad and near-population data on accelerators and their cohort companies. The objective is to identify which cohorts of which accelerators a cohort company was trained in, obtain details of the accelerators, and obtain details of the cohort companies, including information about any venture capital investment that the cohort company might have received and any IPO or acquisition the company may have experienced.
Getting the LinkedInURL will ensure accuracy, but will work without it.
*Shrey: Find "demo day" keywords, so that we can search AcceleratorName Year Keyword and get back potential demo day pages
It is unclear if any of these tasks have been done since the update on 05/21. I will begin by seeing which of these things have been carried out.
==06/20/2018 Update==
