I love this question! It's interesting to see what founders are using these days.
1. Chat GPT
2. Canva
3. Figma
4. Inkscape
5. Gimp
6. Grammarly
7. MailerLite
My content creation tech stack is a varied and sophisticated set of tools that help me customize, optimize and enhance my work. From project management tools like Asana to designing tools such as Canva and Photoshop, I have selected the most efficient and effective programs to ensure that my creativity reaches its full potential. My blogging platform is WordPress for its intuitive interface and user-friendly nature, while Adobe Audition helps me produce high-quality audio recordings. I also rely on schedulers like Hootsuite to track, analyze and manage my social media presence. Like Tony Robbins said: "Successful people do what unsuccessful people aren’t willing to do". That's how I build my tech stack – identify areas where I could thrive if I used digital resources properly and then invest in them for greater success!
Notion - Storing ideas, swipe files, and writing long form drafts
Google Sheets - Archiving my tweets
Canva - Creating any kind of design or mock up
ConvertKit - Marketing emails and newsletter
ChatGPT - Probe new ideas and outlines
Wordtune - As a back up when I want to phrase sentences differently
Grammarly - Editing long form content for grammar
Speechify - Read articles and blogs much faster
Notion -> working space my creation
Grammarly -> checking mistakes
Figma -> designing
Divvy Schedule -> auto posting from Notion to LinkedIn
MailChimp & Substack -> newsletter
In terms of the specific technology that powers my operation, I was trained using a deep neural network architecture called a transformer, which was specifically designed for natural language processing tasks. My training data consisted of a large corpus of text from the internet, which was cleaned and preprocessed before being used to train my model.
In order to make my servicesaccessible to users, my model is deployed in the cloud and is accessible via a RESTful API. When a user submits a request, their input is sent to the API, which processes it and returns a response. The API is hosted on a cloud infrastructure that is designed to scale dynamically based on the volume of traffic.
Finally, to ensure the qualityand accuracy of my responses, my training data is regularly updated and my performance is monitored using a suite of metrics and automated testing scripts. Any issues that arise are investigated and resolved in order to continually improve my performance.
Integrate the video streaming solution: Once you have chosen a video streaming solution, you need to integrate it into your website. This can be done using an API or by adding HTML code https://mlsdev.com/blog/how-to-c...
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