Limey Reviews

1. jiovvany

   | https://limey.io/?via=ayman at https://limey.io/?via=ayman | 5 months ago
   Easy to use & customize!

   Limey is the ideal, no-nonsense, single page site builder for professionals. Saves you time and effort, and still gives you a beautiful final product. & Limey is awesome! I use it to gather all of my social links in one spot. It makes it easier for potential clients to find me online. The platform is free and very easy to use. 5/5.

   🏁 Competitors: We have listed more than 10 alternatives to Stylish Text Maker. You can find them below. The top competitors are: Fancy Text Pro, fontvilla Stylish Text Generator, and Poem of Quotes. Apart from the top ones, people also compare Stylish Text Maker with Mega Cool Text, Tekken 7, and LingoJam.

nbviewer.org Reviews

Limey mentions (2)

• Looking for affiliates for our no-code platform

  Hi everyone! We're looking for influencers to sign up for our affiliate program. Affiliates receive a 50% commission on all payments within the first 12 months for paying customers they refer to Limey. Source: 10 months ago

• What campaign for a no-code one-page website builder?

  Hi everyone! 👋 I'm the founder of Limey. A no-code builder that lets you create one-page websites in minutes. I put a small budget on a FB traffic campaign today, wondering if that's the way to go. The goal is to get content creators and marketers to register an account and build websites. Source: about 1 year ago

nbviewer.org mentions (13)

• Jupyter kernel for Logtalk

  Example notebooks are included in the repo and can be previewed using nbviewer:. Source: over 1 year ago

• Is there a CodePen/OverLeaf equivalent for sharing and viewing Jupyter Notebooks/Labs

  Nbviewer (https://nbviewer.org/): very easy to use for smaller jupyter notebook that does not require heavy rendering. Source: over 1 year ago

• Collaborative Jupyter Whiteboards

  Nbconvert renders everything exactly as it looks in your notebook app into a read-only HTML version and is what GitHub uses for notebooks. Interactive plots from Bokeh, Holoviews, etc can still work if you trust the JS, and since editing notebooks while showing them during a meeting usually doesn't go well, read-only is probably good enough (eager to hear feedback on this point though). The nice thing is that... Source: over 1 year ago

• First data science project (visualization): What should I improve on?

  Just as a heads up, I used plotly to generate a lot of the charts, so you'll need to view it from an nbviewer like nbviewer.org. Source: about 2 years ago

• Can someone please review my data visualisation notebook?

  I used a lot of plotly not knowing that Github wouldn't show it, so you'll need notebook viewer like nbviewer.org to see some of the charts. Source: about 2 years ago