Warmbox help you to warm up your cold email inbox to never land in spam anymore ๐
How does it work? Warmbox algorithm interacts automatically with your inbox, as humans, in order to increase your deliverability. Connect Warmbox to your inbox in seconds. Warmbox will send emails from your inbox. Remove these emails from the Spam folder. Open your emails. Bookmark your emails. Reply to your emails. Your inbox gets warm. Your emails don't land in spam anymore.
Want to give a try? ๐ https://warmbox.ai/
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Using Warmbox since few months and work like a charm! Got no email landing in spam now, recommend at 100%
Thanks to the team ๐
The best tool around after trying most of email warm-up software!
Based on our record, FuzzyWuzzy should be more popular than Warmbox.ai. 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.
I'm really happy to announce to you that I'm launching a new product around email deliverability: Warmbox.ai, one of the most advanced email warm-up tool that helps you to never land in spam. On ProductHunt, today! Source: almost 3 years ago
By the way, I'm really happy to announce to you that we're launching a new product around email deliverability: Warmbox.ai, the most advanced email warm-up tool that helps you to never land in spam. On ProductHunt, today! It integrates natively the Mailook feature for, so you can check your deliverability for free inside it! Source: almost 3 years ago
Hello guys! ๐ We are launching on PH today Warmbox.ai to help anyone to warm-up your inbox and never land in spam anymore! Source: almost 3 years ago
Interested in warmbox.ai bro. Did you try its alternatives? Mailwarm or mailreach? Source: about 3 years ago
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 ่ฒดๆนใใใใพใงใซๅพใฆใใๅใๅญๅใซ็บๆฎใใฆใใ ใใใญใ) 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: almost 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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