## Virality Pro: 95% reduced content production costs, 2.5x rate of going viral, 4 high ticket clients

We’re already helping companies go viral on instagram & TikTok, slash the need for large ad spend, and propel unparalleled growth at a 20x lower price.

## The problem: growing a company is **HARD and EXPENSIVE**

Here are the current ways companies grow reliably:

1. **Facebook ads / Google Ads**: Expensive Paid Ads
Producing ads often cost $2K - $10K+
Customer acquisition cost on Facebook can be as much as $100+, with clicks being as high as $10 on google ads
Simply untenable for lower-ticket products
2. **Organic Social Media**: Slow growth
Takes a long time and can be unreliable; some brands just cannot grow
Content production, posting, and effective social media management is expensive
Low engagement rates even at 100K+ followers, and hard to stay consistent

## Solution: Going viral with Virality Pro, Complete Done-For-You Viral Marketing

Brands and startups need the potential for explosive growth without needing to spend $5K+ on marketing agencies, $20K+ on ad spend, and getting a headache hiring and managing middle management.

We take care of everything so that you just give us your company name and product, and we manage everything from there.

The solution: **viral social media content at scale**.

Using our AI-assisted system, we can produce content following the form of proven viral videos at scale for brands to enable **consistent** posting with **rapid** growth.

## Other brands: Spends $5K to produce an ad, $20K on ad spend.

They have extremely thin margins with unprofitable growth.

## With Virality Pro: $30-50 per video, 0 ad spend, produced reliably for fast viral growth

Professional marketers and marketing agencies cost hundreds of thousands of dollars per year.

With Virality Pro, we can churn out **400% more content for 5 times less.**

This content can easily get 100,000+ views on tik tok and instagram for under $1000, while the same level of engagement would cost 20x more traditionally.

## Startups, Profitable Companies, and Brands use Virality Pro to grow

Our viral videos drive growth for early to medium-sized startups and companies, providing them a lifeline to expand rapidly.

## 4 clients use Virality Pro and are working with us for growth

1. **Minute Land** is looking to use Virality Pro to consistently produce ads, scaling to **$400K+** through viral videos off $0 in ad spend
2. **Ivy Roots Consulting** is looking to use Virality Pro to scale their college consulting business in a way that is profitable **without the need for VC money**. Instead of $100 CAC through paid ads, the costs with Virality Pro are close to 0 at scale.
3. **Manifold** is looking to use Virality Pro to go viral on social media over and over again to promote their new products without needing to hire a marketing department
4. **Yoodli** is looking to use Virality Pro to manage rapid social media growth on TikTok/Instagram without the need to expend limited funding for hiring middle managers and content producers to take on headache-inducing media projects

## Our team: Founders with multiple exits, Stanford CS+Math, University of Cambridge engineers

Our team consists of the best of the best, including Stanford CS/Math experts with Jane Street experience, founders with multiple large-scale exits multiple times, Singaporean top engineers making hundreds of thousands of dollars through past ventures, and a Cambridge student selected as the top dozen computer scientists in the entire UK.

## Business Model

Our pricing system charges $1900 per month for our base plan (5 videos per week), with our highest value plan being $9500 per month (8 videos per day).

With our projected goal of 100 customers within the next 6 months, we can make $400K in MRR with the average client paying $4K per month.

## How our system works

Our technology is split into two sectors: semi-automated production and fully-automated production.

Currently, our main offer is semi-automated production, with the fully-automated content creation sequence still in production.

## Semi-Automated AI-Powered Production Technology

We utilize a series of templates built around prompt engineering and fine-tuning models to create a large variety of content for companies around a single format.

We then scale the number of templates currently available to be able to produce hundreds and thousands of videos for a single brand off of many dozens of formats, each with the potential to go viral (having gone viral in the past).

## Creating the scripts and audios

Our template system uses AI to produce the scripts and the on-screen text, which is then fed into a database system. Here, a marketing expert verifies these scripts and adjusts them to improve its viral nature. For each template, a series of seperate audios are given as options and scripts are built around it.

## Sourcing Footage

For each client, we source a large database of footage found through filmed clips, AI-generated video, motion-graphic images, and taking large videos on youtube and using software to break them down into small clips, each representing a shot.

## Text to Speech

We use realistic-sounding AI voices and default AI voices to power the audio. This has proven to work in the past and can be produced consistently at scale.

## Stitching it all together

Using our system, we then compile the footage, text script, and audio into one streamlined sequence, after which it can be reviewed and posted onto social media.

## All done within 5 to 15 minutes per video

Instead of taking hours, we can get it done in **5 to 15 minutes**, which we are continuing to shave down.

## Fully Automated System

Our fully automated system is a work in progress that removes the need for human interaction and fully automates the video production, text creation, and other components, stitched together without the need for anyone to be involved in the process.

## Building the Fully Automated AI System

Our project was built employing Reflex for web development, OpenAI for language model integration, and DALL-E for image generation. Utilizing Prompt Engineering alongside FFmpeg, we synthesized relevant images to enhance our business narrative.

## Challenges Faced

Challenges encountered included slow Wi-Fi, the steep learning curve with Prompt Engineering and adapting to Reflex, diverging from conventional frameworks like React or Next.js for web application development.

## Future of Virality Pro

We are continuing to innovate our fully-automated production system and create further templates for our semi-automated systems. We hope that we can reduce the costs of production on our backend and increase the growth.

## Projections

We project to scale to 100 clients in 6 months to produce $400K in Monthly Recurring Revenue, and within a year, scale to 500 clients for $1.5M in MRR.
## Inspiration

In today's fast-paced digital world, creating engaging social media content can be time-consuming and challenging. We developed Expresso to empower content creators, marketers, and businesses to streamline their social media workflow without compromising on quality or creativity.

## What it does

Expresso is an Adobe Express plugin that revolutionizes the process of creating and optimizing social media posts. It offers:

1. Intuitive Workflow System: Simplifies the content creation process from ideation to publication.
2. AI-Powered Attention Optimization: Utilizes a human attention (saliency) model (SUM) to provide feedback on maximizing post engagement.
3. Customizable Feedback Loop: Allows users to configure iterative feedback based on their specific needs and audience.
4. Task Automation: Streamlines common tasks like post captioning and scheduling.

## How we built it

We leveraged a powerful tech stack to bring Expresso to life:

* React: For building a responsive and interactive user interface
* PyTorch: To implement our AI-driven attention optimization model
* Flask: To create a robust backend API

## Challenges we ran into

Some of the key challenges we faced included:

* Integrating the SUM model seamlessly into the Adobe Express environment
* Optimizing the AI feedback loop for real-time performance
* Ensuring cross-platform compatibility and responsiveness

## Accomplishments that we're proud of

* Successfully implementing a state-of-the-art human attention model
* Creating an intuitive user interface that simplifies complex workflows
* Developing a system that provides actionable, AI-driven insights for content optimization

## What we learned

Throughout this project, we gained valuable insights into:

* Adobe Express plugin development
* Integrating AI models into practical applications
* Balancing automation with user control in creative processes

## What's next for Expresso

We're excited about the future of Expresso and plan to:

1. Expand our AI capabilities to include trend analysis and content recommendations
2. Integrate with more social media platforms for seamless multi-channel publishing
3. Develop advanced analytics to track post performance and refine optimization strategies

Try Expresso today and transform your design and marketing workflow!
## Inspiration

Last year we did a project with our university looking to optimize the implementation of renewable energy sources for residential homes. Specifically, we determined the best designs for home turbines given different environments. In this project, we decided to take this idea of optimizing the implementation of home power further.

## What it does

A web application allows users to enter an address and determine if installing a backyard wind turbine or solar panel is more profitable/productive for their location.

## How we built it

Using an HTML front-end we send the user's address to a python flask back end where we use a combination of external APIs, web scraping, researched equations, and our own logic and math to predict how the selected piece of technology will perform.

## Challenges we ran into

We were hoping to use Google's Earth Engine to gather climate data, but were never approved fro the $25 credit so we had to find alternatives. There aren't alot of good options to gather the nessesary solar and wind data, so we had to use a combination of API's and web scraping to gather the required data which ended up being a bit more convulted than we hoped. Also integrating the back-end with the front-end was very difficult because we don't have much experience with full-stack development working end to end.

## Accomplishments that we're proud of

We spent a lot of time coming up with idea for EcoEnergy and we really think it has potential. Home renewable energy sources are quite an investment, so having a tool like this really highlights the benefits and should incentivize people to buy them. We also think it's a great way to try to popularize at-home wind turbine systems by directly comparing them to the output of a solar panel because depending on the location it can be a better investment.

## What we learned

During this project we learned how to predict the power output of solar panels and wind turbines based on windspeed and sunlight duration. We learned how to combine a back-end built in python to a front-end built in HTML using flask. We learned even more random stuff about optimizing wind turbine placement so we could recommend different turbines depending on location.

## What's next for EcoEnergy

The next step for EcoEnergy would be to improve the integration between the front and back end. As well as find ways to gather more location based climate data which would allow EcoEnergy to predict power generation with greater accuracy.