Table of Contents

• Table of Contents
• How We Can Help You Win
• Two ways that we can have an impact right away →
• Phase 1: Build
• Phase 2: Optimize & Scale
• Optimize
• Scale
• Phase 3: Blitz
• GPU Breakdown
• A-Tier Dream Scenario (Max Output / Cost)
• B-Tier Dream Scenario
• C-Tier Dream Scenario
• D-Tier Basic Scenario
• Now… Let’s WIN this.

How We Can Help You Win

This proposal outlines how we can use the power of short-form content, video podcast/show & creators around the world to help VP Kamala Harris & Gov. Tim Walz win the online media war & save Democracy.

Two ways that we can have an impact right away →

1. Policy-focused (amongst other styles) content pieces that are designed to generate word of mouth on social platforms, for example ⬇️

2. Optimize thumbnails + titles for already existing content to what performs well on YouTube (2 redesign examples for the KH YouTube based on what works for a politics focused channel):

This will be an immediate accelerant for already existing content and boost viewership.

We will help you create captivating content + expand and accelerate your reach.

Phase 1: Build

Craft the ideal show, and surrounding content engine, to help the Harris / Walz ticket reach the ideal audiences; especially in swing states. Start producing related short-form content within the first 5 days to publish across YouTube and all social platforms.

Build and launch a podcast on YouTube, Spotify and Apple within 14 days so Kamala & Tim have also a direct relationship to voters (that doesn’t change at the whims of the algorithms).

Basically, this from Mark Cuban…

Phase 2: Optimize & Scale

Optimize

Once we see what content is getting reception (measured by click-through rate, impressions & retention), we’ll create multiple creative pods to expand into those content pillars where we’re seeing traction.

Each creative pod will have a project manager, video editor, designer and distributor. Structure & responsibilities:

• Handle one account (across IG, TikTok, YouTube, Snap and Facebook)
• PM: find the right parts to clip & generate scripts
• Editors & Designer: 15 clips/day
• Distributor: Post/schedule across channels (up to 75 clips/day)

Besides that, we will have a team that includes brand, creative architecture, and data analysis that works across creative pods.

By constantly measuring (example for a YouTube channel below), optimizing & creating tight feedback loops; each pod will be able to optimize the content that they’re creating. For example:

Scale

Our initial goal will be to have each pod create 15 clips and publish 75 clips/day (across different social platforms). That’s 2,250 clips/month.

There’s two ways we can scale this; more creative pods (linear) and a tech/AI enabled Blitz strategy (exponential).

Phase 3: Blitz

If we’re able to secure GPU’s & additional equipment, we can add exponential scale to both the creation & publication of the content. Here’s our teach leads dream scenario…

GPU Breakdown

We have two tasks: 1) fine-tuning and 2) generation/inference. We'll need both text generation via LLMs and image generation but the bottlenecks are mostly graphical so tailor performance based on image generation. We assume it takes 30 iterations to generate a single image.

Assuming that each additional fine-tuning design+prompt consists of 150 images+text, this is the estimated performance & cost breakdowns.

Caveat: RTX 4090's cannot be used in a data center configuration so cannot be scaled up to accommodate actual customers.

A-Tier Dream Scenario (Max Output / Cost)

• 2x nVidia H100 80gb pcie
• 8x nVidia RTX 6000 Ada
• $152k value
• 8-minute fine-tuning times
• 8x concurrent designers

We use dual H100s for redundancy and since they do scale relatively linearly, it would also halve the fine-tuning time. If one dies, we can still do the processing. Any time not used to train/tune can be used for inference.

We use the cost effective RTX 6000 Adas for the generation but not to train.

B-Tier Dream Scenario

• 2x nVidia A100 80gb pcie
• 8x nVidia RTX 6000 Ada 48gb
• $112k value
• 1-hr fine tuning times
• 8x concurrent designers

Same configuration as the S-Tier but with the lower cost A100s.

C-Tier Dream Scenario

• 8x nVidia RTX 6000 Ada 48gb
• $72k value
• 1.5-hr fine tuning times if dedicated
• 8x concurrent designers while not training

We use only the cost-effective inference setup and also train with it. It cannot train while generating and vice versa.

D-Tier Basic Scenario

• 1x nvidia RTX 6000 Ada 48gb

========

• $9k value
• >12-hour fine tuning
• Use personal 3090 homelab to do inference (2-3 concurrent designers)

Now… Let’s WIN this.

Ready to make an impact? Let's connect: sachit@platformsmedia.com or call/WhatsApp: +1 (925) 818-8435.

About Us

Sachit Gupta, widely-known as the Creator Whisperer, helps creators & brands worldwide to build campaigns that reach millions. Over 15+ years, he’s helped creators & brands generate millions in revenue & subscribers through Platforms Media. Notable clients: Tim Ferriss Show (1B+ downloads), Rohit Sharma / Restless (Indian Cricket Team captain), Tools of Titans & Tribe of Mentors (#1 NYT Bestsellers), Conscious Creators (#1 Business & #25 US podcast), Seth Godins’ altMBA (leading cohort-based course), Energetic Games (#1 Business & #47 German podcast), On Deck (100+ student podcaster fellowship). He’s also helped 30+ brands including Toptal, HostGator and ActiveCampaign create win-win-win partnerships with podcasters & creators. His mission is to help 1M+ creators worldwide.