Me and my friend have been running several side projects. In order to grow, we had to stay up to date with our metrics, such as: revenue, page views, bounce rate, SEO clicks, social media engagement and many, many more.
These metrics came from different data sources such as: Stripe, AdSense, Google Analytics, Search Console or Google Ads. For example revenue was coming from Stripe, Google AdSense and 3 other publishing partners so we had to put it all in Google Sheets to see how we're performing.
We finally realized how much time and effort it all takes. The time we should spend on marketing, sales and product development. That was when we thought it would be great to have an app that would: connect metrics from all these web apps, display all our data in one dashboard, send us email reports, send alerts when an anomaly occurs, provide root-cause analysis.
So we started searching but the few products we found didn't meet our expectations. That's when we decided to build Raport.
Right now it's almost ready. We will most likely release free beta version next week.
If part of your work is analyzing data and want to see what we're building, just put your email address in the waiting list form. We’ll reach out directly once we move to beta.
We just launched on ProductHunt today. It's our first launch there and we're currently #5. You can check it out and provide feedback if you like. Thanks!
It's not difficult at all as we have our own plugin. After signing-up just go to Welcome -> connect your blogging platform -> WordPress. You will find a step-by-step guide on how to connect it.
Converting audio is super-easy with this WordPress plugin.
Im glad you like it! Yes, you can. Just create an account, convert your articles and embed our player into your website. We also integrate with WordPress and Ghost.
If you have any specific questions, I'm happy to answer.
Thank you for a kind suggestion as I'm fairly new to this community. I edited the title as recommended.
As for your question. We utilize voice models made by cloud providers (Google, Amazon) and apply custom NLP, to achieve better speech fluency and to handle edge cases such as pauses in text, numbers etc.