![]() I love that no coding or formulas are required to interact with the tool. All of them have bulk uploads.Ĭode Interpreter can merge the contact finders’ resulting tables with the original Recruiter export. Intending to contact the potential candidates, I run the (merged) list through contact-finding systems: SalesQL, ContactOut, and SeekOut. If I source, populate a project on LinkedIn Recruiter, and export files (25 records at a time,) Code Interpreter can merge the files, clean up encoding, and clean up the names, leaving first and last, e.g., Mr. The simple data conversions required in sourcing are a breeze for the system. It can produce clever summaries and graphs. You can upload files (one at a time) it will process them, give you a file to download, and report on the process it went through. “Code Interpreter” is like an AI Data Analyst. I will go over a use case – part of my sourcing process for most projects – where Code Interpreter automates work with tables. I am glad to have David on the team, but I can’t bug him with every table-related task.ĬhatGPT Code Interpreter (you must have a $20/mo account and select “Code Interpreter” from Settings) is a big helper for mundane tasks that are part of any sourcing process. Professionals generally fall into two categories: 1) people who are handy with Excel, Google Docs, merging, VLOOKUPs, etc., like David Galley, and 2) those who try to avoid working with tables, like me. We will dive deep into GitHub sourcing and cover less-known approaches. Leveraging GitHub: Advanced Data Mining and User Profiling The syntax is bizarre (and mis-documented on the site): Search terms can be arranged in a Boolean search statement. Github User Search supports a few more qualifiers in addition to language: and location. NOTE: if you search by a keyword, you will find the user’s name, nickname, bio, site, X (Twitter), and company – all the things on the profile page – but not the location or repository languages. Your typical search for Developers would include the operator language: and several location: operators – or “qualifiers,” as Github calls them. Github search documentation contains mistakes in the Boolean section.Github Boolean search syntax is a monster,.Now, if you are searching for Github users, with LUSOG or not, I must warn you that: I would be glad to hear how the tool serves you please email me. Imagine obtaining and exporting information like below in a few minutes while sipping your coffee! The maximum number of results for the same query is 1,000. You can request that the following 100 results be loaded by pressing the “Load More” button at the bottom. Select “Search GitHub Users” and enter search parameters according to GitHub’s syntax (see search help and user search help).īy default, LUSOG returns 100 results per query. (This means you need to have GitHub and Google accounts.) To use LUSOG, you must also give AppsScript permission to run and access the GitHub API. The user is responsible for providing the Tool with their (free) personal GitHub API token. In the backend, LUSOG runs GitHub’s REST API to search GitHub. LUSOG finds GitHub users based on your search parameters, collects complete user data, including emails, and presents this information in a Google Sheet. (We are in parallel developing a web-based tool on our future site Brain Gain Soft please stay tuned.) The tool is free and provided “as-is,” offering Technical Recruiters massive power in searching for Software Developers. There’s Help and a silent video with guidance. ![]() Access it here:Įnsure you follow the installation and execution instructions strictly, starting with creating a copy of the LUSOG Table. We have fixed, improved, and documented the tool I recently announced at Sourcing Summit Tech.
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