Make me Epic vs SayF: Which is better?

Make me Epic is an AI-powered tool designed to creatively transform LinkedIn profiles into unique and impressive titles. Drawing from the information provided in a LinkedIn user profile, the tool generates a series of grandiose, fantasy-inspired titles reflecting various aspects of the user's professional experience and achievements. The tool creates an element of fun and personal brand enhancement to what is usually a straightforward professional summary. The process involves visiting your LinkedIn profile, saving your resume as a PDF, and then uploading the PDF to the Make me Epic platform for the title generation. Make me Epic was developed by Greg Berg and used technologies like Next.js & OpenAI. It is an open-source project, inviting others to use, modify or build upon its original source code. Taking a fresh, imaginative approach to professional profiles, Make me Epic offers an engaging and novel way to express professional identities.

SayF is an AI-powered mobile extension designed to streamline the shopping experience by automatically finding the best deals, discounts, and coupons as you shop across different brand websites. Particularly beneficial for online shoppers, SayF compares prices and offers the convenience of not having to manually search for deals. It works across a vast variety of popular brands, enhancing saving opportunities and improving the buying process. In addition to providing instant discounts, SayF acts as a shopping assistant, offering its services on over 350+ brands, including Amazon, Flipkart, Swiggy, Zomato, Reliance smart, Croma, and Reliance Trends among others. This tool aims to ensure that you save every time you shop by presenting the best available deals directly on your mobile device. As the world's first AI mobile extension of its kind, SayF is leading the way in automated online shopping convenience and affordability. Additional features include a demonstrative waiting list for mobile first extension, enhancing user accessibility and optimization. Please note that early access signups are available.