## 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 2010, when Haiti was rocked by an earthquake that killed over 150,000 people, aid workers manned SMS help lines where victims could reach out for help. Even with the international humanitarian effort, there was not enough manpower to effectively handle the volume of communication. We set out to fix that.

## What it does

EmergAlert takes the place of a humanitarian volunteer at the phone lines, automating basic contact. It allows victims to request help, tell their location, place calls and messages to other people, and inform aid workers about their situation.

## How we built it

We used Mix.NLU to create a Natural Language Understanding model that categorizes and interprets text messages, paired with the Smooch API to handle SMS and Slack contact. We use FHIR to search for an individual's medical history to give more accurate advice.

## Challenges we ran into

Mentoring first time hackers was both a challenge and a joy.

## Accomplishments that we're proud of

Coming to Canada.

## What we learned

Project management is integral to a good hacking experience, as is realistic goal-setting.

## What's next for EmergAlert

Bringing more depth to the NLU responses and available actions would improve the app's helpfulness in disaster situations, and is a good next step for our group.
## Inspiration

The main inspiration for this project was to create a service that allows users, especially content creators, to be able to review their media and be sure of their content before uploading it onto the internet. Many people want to be sure that their content is quality or safe for the internet and our service aims to provide a great place for this to be thoroughly analyzed.

## What it does

AudioAssembly is a web application that receives an audio/video file and generates a detailed report. The report includes a confidence score, number of speakers, number of disfluencies, language, number of swear words, keywords, content safety score, tone information, and important entities.

## How we built it

We built our project using Flask, a Python web framework that uses the MVC architecture to develop full-stack web applications. Alongside this, we used AssemblyAI's API service in order to implement a major part of our site's functionality.

![Alt text](https://challengepost-s3-challengepost.netdna-ssl.com/photos/production/software_photos/001/931/160/datas/gallery.jpg)

## Challenges we ran into

There were many challenges on both the client- and server-side. Regarding the client-side, we ran into many issues with formatting content appropriately so that it looks good. Regarding the server-side, we ran into complications on how exactly we were going to use AssemblyAI's API.

## Accomplishments that we're proud of

We're extremely proud that we were able to completely finish our main idea. Sometimes there can be a situation where a project seems easier in hindsight than expected. However, due to our team's adept programming ability, we were able to snuff out the difficulty of the project on the get-go and have an extremely productive experience.

## What we learned

We learned a great deal about web technologies. We learned how to better use Flask along with its templating system, Jinja. Along with this, we learned many aspects of web structure with HTML and styling with CSS. Overall, we've improved our full-stack web development capabilities.

## What's next for AudioAssembly

Due to limited time, we were unable to make our report as detailed as we wanted to. We definitely got a lot of great information on there, but if we're given more time, we will spend it making sure that all the aspects of the report are clear so that users can better fix their content issues.

## Credit

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