Over the past month I’ve been working on a tool called Browserhub, and it’s a way to automate browsing actions without coding. You can use it to perform end-to-end testing, web scraping, and much more.
And as we may know, there are many edge cases and technical hurdles to automate browsing actions. Solving captcha, rotating proxies, you name it.
That's why I'm reaching out to you. I’m eager to hear about your most painful process of coding your own browser automation solutions. If you have a magic wand, what would you change from the process?
Raising prices, especially for B2B, is almost always the right thing to do. People used to chuckle at my pricing, which made them think I wasn’t serious. Until people start complaining about the price, it needs to go higher. You are probably providing much more value to people than you realize.
Thanks! You may want to add that to your website somewhere, especially since the requirements are a tad stringent (lots of stuff still supports Mojave, for instance).
I use GPT-3 to generate synonyms for all of the emojis.
And yes, it’s simple to have a list of synonyms. But is it easy? Calculate the time anyone takes to write synonyms for a particular emoji, and multiply it by the number of emojis (thousands). Not to mention the energy that people spend for it.
For the 2nd question – it’s a limited price deal, and it’ll go up in a few hours.
> Calculate the time anyone takes to write synonyms
Did a quick Google search - there are ~3k emojis and ~100 were added in 2020.
Sure... it would've been a time consuming process to write synonyms for all emojis, but after the initial pass it shouldn't be a huge effort to update the list for new emojis. This would have the added benefit of having a human validated dataset, compared to what GPT3 might produce.
Also, there are resources such as Emojipedia which have at-least 2 or 3 synonyms per emoji. With that in perspective, the figure of 5k / 10k synonyms mentioned on your website doesn't seem that 'groundbreaking'.
I don't mean to undermine your work... the emoji search on macOS IS terrible. Just wanted to understand what value GPT3 brought to your product.
> With that in perspective, the figure of 5k / 10k synonyms mentioned on your website doesn't seem that 'groundbreaking'.
I only generated it once in a go. The number will grow as the time goes by. Imagine the multiplier then.
> Just wanted to understand what value GPT3 brought to your product.
Thanks for your intent, appreciate it :) So I used GPT-3 to train all emojis, not only the new ones. That means a particular emoji will get more and more synonyms as I hire GPT-3 over and over again.
I made Mumu because I couldn't count how much time I was frustrated by an emoji picker. Picking the right emoji has been immersed in my daily workflow for a long time. So I know it needs a change.
It's a native app on top of Swift. Not a SwiftUI yet, but probably interested to research more about its reliability.
Let me know if you have any questions or feedback about it.
Cheers!
I love Cursor Dark but couldn't find a good light theme that matches the style. So I took an attempt to make something I wanna use myself.
Let me know if you have any feedback.