Localize is a company in the B2B|SaaS|Software space.
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Localize is a company in the B2B|SaaS|Software space. Based on 51 Reddit mentions across 10 subreddits, Localize has a 60% positive sentiment score in the SaaS Tools space. Reddit users most frequently discuss Localize in r/react.
Sentiment Breakdown
Top Subreddits
- r/react 2 mentions
- r/iOSAppsMarketing 2 mentions
- r/AppStoreOptimization 2 mentions
- r/reactjs 2 mentions
- r/hackernews 1 mentions
- r/AskDocs 1 mentions
- r/BMWX3 1 mentions
- r/abiogenesis 1 mentions
- r/Addons4Kodi 1 mentions
- r/u_OkPatience7330 1 mentions
What Reddit Praises
- Anything else unusual about my MRI
- New here, and here’s my absolute framework and what makes everything beautiful
- Newcastle SEO
- Apple's default exchange rates are killing your app revenue in developing countries
- Tired of App Store Connect's manual pricing
Common Complaints
- Several papers on how thermodiffusion answers the Concentration Problem; accumulation of small organic molecules in hydrothermal vent systems
- [Discussion] Kodi on Linux – Crashes & bugs I've hit
- How does the native `@scope` rule compare with CSS modules
- Improving translation workflows in React apps (AST parsing, variable handling, cleanup)
- Jovens x Informática: eles não deveriam saber o básico
What Redditors Are Saying
"**Good for the world:** You are expanding organic agriculture at the expense of less environment-friendly agriculture while also helping localize food (as opposed to using fuel to ship it to distant lands)."
"The story of Liu Kun is a masterclass in how not to localize a game."
"\--- Trabalhar com PDFs: \- Localize no catálogo esse código de produto aqui, vamos dar uma conferida nele."
"# [Localization and Ace Attorney](https://news.capcomusa.com/2014/11/21/localization-and-ace-attorney/) # Nov 21, 2014 // [Janet Hsu](https://news.capcomusa.com/author/4) Question: If you were going to localize a comical game with a lot of Japanese humor where you play as a ..."
"Variety of Tasks – Translate/localize."
"automatically) sep = "!" # Save Raw Text with open(raw_out, 'w', encoding='utf-8') as f: f.write(text) # Process Snippets text_flat = " ".join(text.replace('\t', ' ').splitlines()) all_snippets = re.findall(..."
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