Show HN: How to build a live, face-to-face video chat app in Ruby on Rails 6.0.2 https://ift.tt/2G8hRk0

Show HN: How to build a live, face-to-face video chat app in Ruby on Rails 6.0.2 https://ift.tt/36ZKv2k January 20, 2020 at 06:16PM

Show HN: Ganzo – A GAN Framework https://ift.tt/2G49eH4

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Show HN: I built a browser based interactive React course https://ift.tt/3avgyJy

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Show HN: Epanet-JS – Simulate a water distribution network in JavaScript https://ift.tt/30E0nVT

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Show HN: Get a bit field view of any ArrayBuffer in JavaScript https://ift.tt/37nUpuI

Show HN: Get a bit field view of any ArrayBuffer in JavaScript https://ift.tt/2tCMxa9 January 20, 2020 at 04:39PM

Show HN: Submit Your Software or Product or Business Deal [Free Listing] https://ift.tt/2TIDCPc

Show HN: Submit Your Software or Product or Business Deal [Free Listing] https://ift.tt/30J4hwL January 20, 2020 at 01:58PM

Show HN: A minimalist and productivity-focused news reader https://ift.tt/2NIvryB

Show HN: A minimalist and productivity-focused news reader https://ift.tt/38lvAjl January 20, 2020 at 11:21AM

Show HN: Nebula Graph Studio 1.0 – Visualize graph data for you https://ift.tt/38tzkzv

Show HN: Nebula Graph Studio 1.0 – Visualize graph data for you https://ift.tt/3akEVd7 January 20, 2020 at 01:59AM

Show HN: How to build a face-to-face video chat app in Ruby on Rails 6.0.2.1 https://ift.tt/38fapPY

Show HN: How to build a face-to-face video chat app in Ruby on Rails 6.0.2.1 https://ift.tt/36ZKv2k January 20, 2020 at 03:16AM

Show HN: Google Sheets add-on to compare text, fuzzy-match, highlight duplicates https://ift.tt/365g6hV

Show HN: Google Sheets add-on to compare text, fuzzy-match, highlight duplicates I created an add-on for Google Sheets called Flookup, and it comes both as a free version and a VERY AFFORDABLE paid version. At its core, Flookup is a fuzzy matching add-on that helps you manage text that is less than a 100% match. Beyond that it can be used to: 1. Search for and match data regardless of whether it contains typos. 2. Highlight and delete duplicates duplicates even if the data has mismatched text. 3. Calculate the percentage similarity between strings. 4. Extract unique values from any column based on percentage similarity. 5. Sum and find the average of numbers based on corresponding partial matches. Because of its versatility, Flookup can be used to return the best match, the next best match, etc. until the minimum percentage similarity is reached. This feature avoids weaknesses other fuzzy matching algorithms have because it safely hands power to the user, and I believe the user is the best judge of which data is a match or not. Another great feature Flookup has is that it can be used to combine lookup values. This is particularly helpful when your data has many similar strings and you want to add extra information to your lookup value in order to increase the specificity of your query. Finally, Flookup is good for more than just fuzzy matching; it is the improved replacement for VLOOKUP and INDEX/MATCH that you have been looking for. Find out more by heading to https://ift.tt/30JMDI0 , Subscription information is available at https://ift.tt/37cqbuY January 18, 2020 at 11:06AM