Loach is the OKR management solution for start-ups and scale-ups. We allow your team to seamlessly align daily work with quarterly objectives, creating clarity, focus, and inevitable goal achievement.
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Loach's answer
Growing your Start-up or Scale-up is all about execution. OKRs help you set the direction, but Loach enables you to connect daily work with those overarching goals. With Loach, every employee knows exactly what they need to do to help the company move forward and leadership knows exactly what people are doing to help move the company forward. A win-win for everyone.
Loach's answer
Loach is the only solution that focuses on helping startups and scale-ups be successful with OKRs. Loach aims to be simple yet powerful to help your employees work on the things that move the company forward.
Loach's answer
Start-ups & Scale-ups who want to be successful with using OKRs.
Loach's answer
Hi, I'm Frank Smit, Founder of Loach and previous COO of a SaaS company (OBI4wan), which I helped grow from 300K to 10M EUR in revenue and 5 to 75 employees in 6 years.
We used OKRs to set the direction of our company.
However, I learned that setting goals alone is not enough. Our employees simply forgot about our OKRs.
We set up a process where all employees would know what they need to do each week to help move the company forward.
However, tracking all goals and initiatives became impossible without a proper solution, and I didn't find any in the market that focussed on connecting daily work to quarterly goals.
So, I decided to create Loach!
Loach is the tool I wish I had back in the OBI4wan days.
Loach's answer
Vormats Cammio Deedmob Wantly Matrixian
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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