@volumeusa

High performance productivity without harmful chemicals 💚

🇺🇸
Joined March 2023
If you go to the gym, eat decently, and take the supplements TikTok told you to take… and you're still dead by 2pm every day… then it's probably not a discipline problem. It's what you're drinking. I know because I did everything right for years and still crashed every afternoon. So I made Esselate. Real coffee, sparkling, 10 calories. 👉 volumeusa.com/products/spark…
1
103
Volume retweeted
In the entrepreneurship world, you are instantly respected by being in good shape No one wants to do business with someone who doesn’t take care of themselves It reflects on how they do everything, including business
52
47
3
1,275
36,751
Volume retweeted
Want to get ahead? Don’t be bitter. Too many people in this industry just seethe jealousy. If they see any brand doing even a dollar more they scream like that dollar was stolen from them. It’s the same for agency guys, content creators, brand builders. There is always a bigger fish. Someone making more money, someone growing faster, someone getting the spotlight. Just celebrate them. Hype them up. Invest in them. If you complain post all day, you just look like an angry 13 year old. Take that energy and build something. Or drop that shit and just start high fiving.
21
5
165
8,351
Volume retweeted
bro there are so many ways to make money. today, cold email from a supplement brand. all ai ads, $1m a day (until they get shut down) mens apparel company. somehow doing subscription with it. 8 figures in ebitda. you dont need to be a cracked ai saas genuis. just gotta make something, make some content, and scale it. this is the builders decade. dont let yourself down 🥂
41
23
5
694
39,607
Volume retweeted
i was eating cake at my desk every day and calling it a soda. 39g of sugar, then a 4pm crash i kept blaming on "being tired." turns out i never wanted the sugar — just the cold can and the crack. so i found one without it. real coffee, carbonated, stevia. zero sugar.

4
3
11
31,283
The theory is this: There are two world class businesses left. Ads and data centers. Google, meta, Amazon, Microsoft each spit off tens of billions of free cash a quarter. They can use that free cash to build more data centers, selling more computer to the highest bidder As ai gets more capable, people are willing to spend more for the compute. (Companies pay web developers more than customer service managers, ai will be the same) As the price of compute gets more valuable, the hyper scalers want to build even MORE data centers. They exhaust their free cash, so they move to debt. But as long as the ai gets better, people will keep paying more for it. What’s the limit? If the cost of compute is doubling, because demand is tripling every year, when does debt become too expensive? Meta can borrow at 7% right now. But what if the return on compute is 100% a year? They would borrow as much as humanly possible, at like 30% rates. And if the largest, most cash rich businesses on earth can pay 10, 15, 20% for debt, backed by a physical asset, why would you loan anyone else money? Not just companies, but governments. If ai is TOO GOOD of an investment, it sucks in every possible dollar, because the returns are there It’s a credit crunch. Every dollar flows to the highest bidder, and the highest bidder has a better business model to support it. Why take on more risk, at lower rates, lending to Walmart? dwarkesh’s latest pod covers this Near 100% margin ads businesses building out 80% margin data centers, which you can model right now to a 3 year payback (and shrinking) The greatest businesses of all time might bankrupt foreign governments
a surprise I think is coming the quick payback periods and extraordinarily high IRR for AI infrastructure, even at monumental scale, will push up cost of capital sufficient to push many traditional businesses into the abyss, even those without obvious direct AI counter-exposure
17
14
3
284
58,863
Volume retweeted
Everyone wants a 3.0 LTV:CAC, but no one actually knows how to calculate it. Let’s walk through how we calculated LTV and CAC at gruns - and it starts with the data Most brands will go and download an app off the shopify app store, maybe it plugs into amazon, and that app will give them a LTV calculation and a CAC calculation and they will take it at face value. They are paying anywhere from $500-$2,000/mo What they don’t realize is the $12,000+ per year app isnt giving them correct data. If it did, why would we have had an all star team of 10+ people across data at gruns if we could spend $12k for the same thing? It comes down to the data transformation process. Most brand owners will tell you they are data driven, but there is still a lot of education to be had on this side of the house. Its a ‘you dont know what you dont know’ situation. In order to accurately calculate LTV:CAC you need to decompose every shopify order and all of its components so you can calculate delivered gross margin. Shopify doesn’t even give you the proper net sales out of the box so you need to start there. Shopify does not give you GAAP net sales, but if you are ingesting data yourself it is straightforward Gross Sales + Shipping Income - discounts - refunds = Net Sales. Then you have to deal with gift cards (these are not revenue at time of purchase, only time of redemption), chargebacks, refund timing, gifting, employee orders, and cancelled orders. Luckily Shopify’s data model is pretty clean. Then do the same for Amazon, TikTok Shop, and your other sales channels. At this point you’ve calculated the proper net sales for every order you’ve ever had - now you can join your COGS, 3PL, and merchant costs to that exact order to get delivered gross profit. The Shopify stuff is easy, understanding ALL of the costs associated with an order is much more difficult and might require another dozen data pipelines to get correct. Shopify gives you a customer ID so you join all the orders from each customer ID, to get their total delivered gross profit. You should be able to pick any random customer from your customer list, and you should be able to pull up their LTV with gross profit from every order they’ve placed with you. With correct data infra you can also get LTV cuts at a bunch of interesting angles to optimize the business - by SKU, geo, etc. This requires real data infrastructure, not apps from the shopify store At that point, you just divide LTV by CAC and have confidence in your numbers
25
3
208
12,852
Volume retweeted
Replying to @Codie_Sanchez
i am the biggest advocate for organic content of all time and this is retarded 🤣 you touch paid ads as soon as it’s economically feasible as soon as you have some sales, some cash on hand, and product market fit you start using paid
2
5
328
12,385
People are spending a lot of time and money treating symptoms — sleep, anxiety, gut, cravings, headaches, tolerance — that too many energy drinks or sugary sodas are causing. This is built different: volumeusa.com/products/spark…
1
1
42
Volume retweeted
When you’re done building and it's time for marketing:
378
864
233
7,701
358,804
Volume retweeted
A Perfect 3PM Energy Drink Made With Real Coffee, Zero Sugar, 10 Calories

2
2
14,756
I've been in ecommerce for 17 years. I am an unc. During those years I have seen countless companies scale to some level of success and then decline to extinction. Very few ecommerce companies have a moat. Most are 5 or 10 year businesses. This is why you must: Run positive unit economics Distribute profits Diversify your assets
If you run a brand without a moat aka...a Zuckerberg Franchise, you should pull cash aggressively out and throw it in an index fund. Don't spend money assuming it will continue forever. It's too easy for someone to dupe your site/product/ads.
18
6
1
145
21,776
This form factor changes what a body of knowledge is worth. All alpha. And it's free.
What @AaronOrendorff has built is sick. He built a portal that has EVERY single thing Operators has ever done, complete with transcripts, links to every episode, webinar, and past newsletter. You can be the first thing I did when I saw it was gave it to claude and had it index them for conext. I then built playbooks for the major concepts like diagnosing ad account issues, product development, GTM strategy, and more. Does anyone wanna get access? Not sure if I'm allowed to send it or not. Comment and tag @AaronOrendorff if you wanna see this and I'll convince him to package it up.
1
1
27
5,077
Volume retweeted
wow. i just crossed 700k net worth at 28 years old... crushing my initial goal of half a million by 30. this doesn't even feel real. i feel proud of myself. for contrast, my parents' net worth is half of this (mainly their home)
169
13
2
1,233
108,717
Volume retweeted
𝕏
After a quiet start of the year, X will record the most monthly downloads in history this April, beating our last record by 40%. We're just getting warmed up.
6,584
9,590
422
104,874
24,946,942
How to escape beginner hell: • Post 3 tweets per day • Leave 50 comments per day • Follow 10 new people per day Keep it simple.
190
24
6
504
16,644
Volume retweeted
Andrew Tate responds to backlash behind the viral clip showing him in a Miami Nightclub playing Ye's song "HH” 👀 "I didn’t ask them to play it." "The only time you see me on there, is me storming out of the bus saying this is ridiculous."
971
276
225
10,023
2,636,258
Volume retweeted
This is diabolical. OpenAI’s ChatGPT convinced a guy to do a murder-suicide! To be safe, AI must be maximally truthful-seeking and not pander to delusions.
Stein-Erik Soelberg committed murder-suicide after spending hours a day talking to the chatbot and sharing his delusions. Now the victim’s estate is suing OpenAI thetimes.com/us/news-today/a…
5,725
7,838
924
57,743
20,769,319
Your "creative fatigue" is actually just creative incest. You're breeding the same ad with itself over and over: → Same script → Same location → Same person → Same benefit Then wondering why the bloodline is weak. Inject new DNA: → New desires → New personas → New mechanisms That's how you keep the family tree healthy.
12
5
59
2,099