Truepush, a web push notification service for web and mobile, was launched in 2019 with a motto to provide a free customer engagement platform like push notifications. With a short span of 18 months, the brand is successfully serving over 30,000+ marketers/ developers and is growing big and strong in the SaaS marketplace.
This Push Notifications tool has received enormous applause in the SaaS space, along with the excellent feedback from its customers. Truepush provides rich features like RSS-to-Push, Audience Segmentation, Triggers, Batches, etc. for free, which are generally paid on the other push platforms.
Along with receiving good feedbacks and global acceptance, Truepush has also won many awards that include 'High Performers Summer-2020' and 'High Performers Spring-2020' by G2, 'Fastest Growing and Most Searched Software' under the Push Notifications category by SaaSworthy, 'Rising Star Award - 2019' and 'Premium Usability Award - 2019' by FinancesOnline. As per BuiltWith, it is the '7th Most Popular Push Notifications Service in India'.
Truepush has a free WordPress plugin and a free Shopify plugin.
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Based on our record, FuzzyWuzzy seems to be more popular. It has been mentiond 11 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Do fuzzy matching (something like fuzzywuzzy maybe) to see if the the words line up (allowing for wrong words). You'll need to work out how to use scoring to work out how well aligned the two lists are. Source: over 1 year ago
Convert the original lines to full furigana and do a fuzzy match. (For reference, the original line is 貴方がこれまでに得てきた力、存分に発揮してくださいね。) You can do a regional search using the initial scene data (E60) first, and if the confidence is low, go for a slower full search. Source: over 1 year ago
It's now known as "thefuzz", see https://github.com/seatgeek/fuzzywuzzy. Source: about 2 years ago
You can have a look at this library to use fuzzy search instead of looking for plaintext muck: https://github.com/seatgeek/fuzzywuzzy. Source: over 2 years ago
To deal with comparing the string, I found FuzzyWuzzy ratio function that is returning a score of how much the strings are similar from 0-100. Source: almost 3 years ago
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