PEoperator⚡️

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PEoperator⚡️

PEoperator⚡️

@PEoperator

PE Operator → CEO | Real deals, stories & operator lessons | Never badmouth synergy | book recs: https://t.co/6HlJT9V568

Katılım Kasım 2020
435 Takip Edilen17.7K Takipçiler
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PEoperator⚡️
PEoperator⚡️@PEoperator·
I once presented a billionaire some of the highest-ROI projects I'd ever found. Some north of 1,000% IRR. I have never forgotten his response.
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PEoperator⚡️
PEoperator⚡️@PEoperator·
Timing the buying and eating of a grocery store banana is nearly impossible.
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PEoperator⚡️
PEoperator⚡️@PEoperator·
Crazy story I heard this morning… A guy and his friend go to another city and start talking with folks on the street. This is in Europe. The local government hears about it and they weren’t happy. So the local government publicly berates these guys. That leads to a literal mob beating of these two by the locals (which the govt doesn’t stop). Finally they just throw these two guys in jail for what they were saying. Supposed violations. Citizens of the same country. Thrown in the local holding tank for talking. Anyway, that night there is a freak weather event- crazy storm- and the jail is damaged. But the actual holding tank is damaged such that the two guys could have just walked out. I guess it’s kind of an Andy Griffith style jail cell. But anyway, the two guys survive the storm and actually stay in the jail even though they could’ve just walked out. The local govt tell the police to just let them go, but these guys refuse. Instead, they stay and demand a public apology from the local government. So the local government that a day before was encouraging the beating of these two, issued a public apology. And then the two guys walk free. Absolutely Chad alpha tiger move. Would not have believed that story if it hadn’t come from someone I trust.
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Purple Lot Thoughts
Purple Lot Thoughts@Bigblueparody·
@PEoperator I’m not saying that I have stooped to the Publix “free for your children as you shop” basket of fruit. But I’m saying, if one wanted to stoop, there is such a basket.
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Mitch Morris
Mitch Morris@mitchellcmorris·
@PEoperator Just tossed some and was like I need to stop buying them 😂
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PEoperator⚡️
PEoperator⚡️@PEoperator·
@_The_Prophet__ I think this phase is required and the explorers who survive will be rewarded. x.com/PEoperator/sta…
PEoperator⚡️@PEoperator

I run a medium sized business. AI is changing how we operate. At every level of the organization, people are more efficient, move faster, and accomplish more. There are two distinct areas where we see ROI. First, the obvious one: AI as your own personal analyst. Rather than ask for data or analysis, managers can just ask AI. It’s not perfect. It’s not always right. But for less than 20% of the effort (prompting), you can usually get more 80% of your needs met. Investigating sales performance. Mapping customers by region for new locations. Exploring vendor purchases. Planning capacity utilization. Building shift schedules. Rewriting LOIs based on old ones. Building DCF models. Designing quantitative comp plans. Identifying (via pictures) stray/found items in the warehouse. Voicing and aggregating sales call notes. These are everyday tasks that previously required time and some assistance, often from an analyst. Not anymore. It’s difficult to calculate the ROI on these sorts of gains. Obviously you can make up numbers to quantify anything. Many probably do. But how do you quantify moving faster, making quicker, better decisions, saving time, and empowering managers? We are moving faster. Speed absolutely wins and the faster we can move, the more we will win. I’m not going to waste time quantifying ROI on what anyone can see is improving the way we operate. That would be giving all the speed gains right back! The second bucket is much more quantifiable. These are discrete projects designed with a specific purpose. A quoting platform saving hours per quote. An inside sales leads dashboard that generates leads. Websites built for a fraction of the cost. Inventory optimization tools that reduce capital employed, COGS, and improve forecasting. Because these have a single purpose, they’re easy to quantify. But in my view, this bucket is less valuable than the first. The first is transforming how everyone operates. Unlimited potential. The second is raising the floor. From the outside looking in, it can seem like AI is just a new cost center. If you aren’t inside the organization, the ROI may not be obvious to you. But there are other things you probably take for granted. What’s the ROI on the computers you use? What’s the ROI on internet connectivity? On your office building? Lots of stuff gets taken for granted that no reasonable person would ever waste time calculating ROI on. That doesn’t mean you should be indiscriminate. Managers absolutely have to monitor spending and ensure proper use. Security guardrails have never been more important. There’s a saying, “I know I’m wasting half my marketing dollars, I just don’t know which half!” That’s a little where AI is today. But it’s obvious AI is the future. Anyone can see that. And the winners will be the regular ol companies who adopt early, monitor progress, and lean in. The losers will be the ones so obsessed with calculating an ROI on every token dollar that they miss the revolution.

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SightBringer
SightBringer@_The_Prophet__·
⚡️AI consumption outrunning organizational transformation. Companies are pouring tokens into old workflows and calling the result productivity. That is the mistake. More inference does not automatically create more output. If the company keeps the same org chart, approval chain, meeting culture, software stack, incentive system, reporting structure, and human handoffs, then AI mostly becomes another layer of activity inside an unchanged machine. More drafts. More summaries. More variants. More internal content. More experiments. More token burn. Very little structural throughput. That is why costs can explode while measured productivity barely moves. The real variable is workflow redesign. AI creates real leverage when it removes steps, eliminates roles, collapses cycle time, automates decisions, increases revenue per employee, or allows the same output with materially fewer people. If it merely helps each employee produce slightly more inside the same bureaucracy, the economic gain stays tiny while usage expands uncontrollably. The quote exposes a deeper asymmetry: Model providers monetize every token. The enterprise only monetizes the fraction of those tokens that reaches the customer, reduces labor, improves pricing, increases conversion, lowers error, or accelerates delivery. Everything else is leakage. That means the first AI boom inside companies may be producing a false productivity signal. Usage dashboards look impressive. Token counts surge. Employees say they use AI. Executives announce adoption. But the income statement barely changes because the organization has not converted model intelligence into operating leverage. The “asymptote” line matters. Many companies may have already harvested the easiest gains: Faster emails. Better first drafts. Quicker research. Code assistance. Meeting summaries. Basic support automation. The next 5% is much more expensive because it requires deeper integration, proprietary data, process ownership, agent reliability, permissions, auditability, exception handling, and willingness to redesign jobs. That is where the cost curve becomes brutal. The deepest signal is AI ROI bifurcation. A small number of companies will rebuild around AI and get nonlinear gains. Most companies will bolt AI onto legacy structure and create a new expense category. The winners will not be the heaviest users. They will be the firms that convert tokens into fewer handoffs, fewer employees per unit of output, faster cash conversion, higher gross margin, and better decisions. The losers will generate enormous token volume and mistake activity for transformation. The deeper capital-market signal is ugly for parts of the AI stack. If enterprise buyers start auditing token spend against measurable downstream value, many AI products will face margin compression, budget scrutiny, consolidation, and cancellation. The model vendors may still win because they sell the metered input. The application layer gets squeezed because customers eventually ask the only question that matters: What economic output did this spend actually create? The final read: the AI boom is approaching its first real unit-economics test. The next phase will separate companies using AI as an expensive cognitive ornament from companies using it to redesign the machine.
dnap@dnapway

Chamath reveals his company's AI token costs are doubling every 45 days but productivity is only up 5% "I sat down with my CTO today, I said how are we doing on token spend. And he said the most incredible thing, he said right now, our token costs are doubling every 45 days. I said well what is the downstream productivity? And he said maybe 5% max." "So my costs are doubling every 45 days, my upside is essentially flat. He said honestly, what we're finding out is that you need to use a lot more tokens to get to this next iteration of improvement because we've effectively already asymptoted." "We're going to take a step back and try to figure out what to do. I don't know how many other companies will actually go through this reckoning now, but the point is everybody in the next three or four years will for sure go through it." "I suspect that if you can get out now, you should get out now before all of that starts to seep into the water table. Because I think that's probably what allows you to get out at a huge price and raise a huge amount of money."

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Ramp Capital
Ramp Capital@RampCapitalLLC·
Sorry kids daddy can’t play with you rn, need to focus on the Water Temple
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Ramp Capital
Ramp Capital@RampCapitalLLC·
This is so sick. Nolstagia vibes hitting an all time high. Thank you @BoredElonMusk for sending this.
Ramp Capital tweet media
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PEoperator⚡️
PEoperator⚡️@PEoperator·
@PadraicMcC Everyone would be better off if they spent as much time learning about the people they’re doing the deal with as they do on the deal itself!
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Padraic McConville
Padraic McConville@PadraicMcC·
A big question we ask about our potential partners (mgmt teams) is How will they behave over the course of our deal (especially in times of stress and disagreement)? Ideally you’ve built a relationship with these folks over years and that’s not always the case. Highly recommend: - deep background investigation and reference checks - personality profile and honest conversations about strengths and shadow sides; should lead to a sketched out development plan - coaching for CEO and L1 team members
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PEoperator⚡️
PEoperator⚡️@PEoperator·
Our goal is not to reduce headcount, so short answer is no. Our goal is to grow exponentially and we have seen rev/employee rise. We want to see faster speed on a number of fronts- time to quote, conversion, shipments, etc. I wouldn’t attribute all of that to AI, but it’s definitely contributing. Our spend is modest and controlled. I am personally observing improvements in individual performance related to the tools. Still early. Still some experimentation. I’m not validating hundreds of billions or valuations of the major AI businesses. But my conviction about the benefits of being early, leaning in, forcing the issue, training, equipping folks is only rising. I think the early adopters can extend a lead right now, especially in an old world business.
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John Caple
John Caple@BigJohn043·
@PEoperator Have you reduced headcount yet? My gut is that you can't justify the hundreds of billions in investments just on productivity gains alone. All of our companies are experimenting. And I think that is money well spent. But haven't seen real headcount reductions yet...
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PEoperator⚡️
PEoperator⚡️@PEoperator·
I run a medium sized business. AI is changing how we operate. At every level of the organization, people are more efficient, move faster, and accomplish more. There are two distinct areas where we see ROI. First, the obvious one: AI as your own personal analyst. Rather than ask for data or analysis, managers can just ask AI. It’s not perfect. It’s not always right. But for less than 20% of the effort (prompting), you can usually get more 80% of your needs met. Investigating sales performance. Mapping customers by region for new locations. Exploring vendor purchases. Planning capacity utilization. Building shift schedules. Rewriting LOIs based on old ones. Building DCF models. Designing quantitative comp plans. Identifying (via pictures) stray/found items in the warehouse. Voicing and aggregating sales call notes. These are everyday tasks that previously required time and some assistance, often from an analyst. Not anymore. It’s difficult to calculate the ROI on these sorts of gains. Obviously you can make up numbers to quantify anything. Many probably do. But how do you quantify moving faster, making quicker, better decisions, saving time, and empowering managers? We are moving faster. Speed absolutely wins and the faster we can move, the more we will win. I’m not going to waste time quantifying ROI on what anyone can see is improving the way we operate. That would be giving all the speed gains right back! The second bucket is much more quantifiable. These are discrete projects designed with a specific purpose. A quoting platform saving hours per quote. An inside sales leads dashboard that generates leads. Websites built for a fraction of the cost. Inventory optimization tools that reduce capital employed, COGS, and improve forecasting. Because these have a single purpose, they’re easy to quantify. But in my view, this bucket is less valuable than the first. The first is transforming how everyone operates. Unlimited potential. The second is raising the floor. From the outside looking in, it can seem like AI is just a new cost center. If you aren’t inside the organization, the ROI may not be obvious to you. But there are other things you probably take for granted. What’s the ROI on the computers you use? What’s the ROI on internet connectivity? On your office building? Lots of stuff gets taken for granted that no reasonable person would ever waste time calculating ROI on. That doesn’t mean you should be indiscriminate. Managers absolutely have to monitor spending and ensure proper use. Security guardrails have never been more important. There’s a saying, “I know I’m wasting half my marketing dollars, I just don’t know which half!” That’s a little where AI is today. But it’s obvious AI is the future. Anyone can see that. And the winners will be the regular ol companies who adopt early, monitor progress, and lean in. The losers will be the ones so obsessed with calculating an ROI on every token dollar that they miss the revolution.
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Mitt
Mitt@MittCPA·
rockets are really cool
Mitt tweet mediaMitt tweet media
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Mike Simmons #leadership
Mike Simmons #leadership@MikeSimmons·
This is the way. Develop capabilities to solve for specific things. Tools to do a job. - fire yourself from these jobs when you can - find other tasks you can fire yourself (or team members) from Use the tools to do things faster. Tools create leverage when skills are applied. Ones we have created that I’m most excited about. - business operating system - demand signal identifier - knowledge base tool Good stuff.
PEoperator⚡️@PEoperator

I run a medium sized business. AI is changing how we operate. At every level of the organization, people are more efficient, move faster, and accomplish more. There are two distinct areas where we see ROI. First, the obvious one: AI as your own personal analyst. Rather than ask for data or analysis, managers can just ask AI. It’s not perfect. It’s not always right. But for less than 20% of the effort (prompting), you can usually get more 80% of your needs met. Investigating sales performance. Mapping customers by region for new locations. Exploring vendor purchases. Planning capacity utilization. Building shift schedules. Rewriting LOIs based on old ones. Building DCF models. Designing quantitative comp plans. Identifying (via pictures) stray/found items in the warehouse. Voicing and aggregating sales call notes. These are everyday tasks that previously required time and some assistance, often from an analyst. Not anymore. It’s difficult to calculate the ROI on these sorts of gains. Obviously you can make up numbers to quantify anything. Many probably do. But how do you quantify moving faster, making quicker, better decisions, saving time, and empowering managers? We are moving faster. Speed absolutely wins and the faster we can move, the more we will win. I’m not going to waste time quantifying ROI on what anyone can see is improving the way we operate. That would be giving all the speed gains right back! The second bucket is much more quantifiable. These are discrete projects designed with a specific purpose. A quoting platform saving hours per quote. An inside sales leads dashboard that generates leads. Websites built for a fraction of the cost. Inventory optimization tools that reduce capital employed, COGS, and improve forecasting. Because these have a single purpose, they’re easy to quantify. But in my view, this bucket is less valuable than the first. The first is transforming how everyone operates. Unlimited potential. The second is raising the floor. From the outside looking in, it can seem like AI is just a new cost center. If you aren’t inside the organization, the ROI may not be obvious to you. But there are other things you probably take for granted. What’s the ROI on the computers you use? What’s the ROI on internet connectivity? On your office building? Lots of stuff gets taken for granted that no reasonable person would ever waste time calculating ROI on. That doesn’t mean you should be indiscriminate. Managers absolutely have to monitor spending and ensure proper use. Security guardrails have never been more important. There’s a saying, “I know I’m wasting half my marketing dollars, I just don’t know which half!” That’s a little where AI is today. But it’s obvious AI is the future. Anyone can see that. And the winners will be the regular ol companies who adopt early, monitor progress, and lean in. The losers will be the ones so obsessed with calculating an ROI on every token dollar that they miss the revolution.

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PEoperator⚡️
PEoperator⚡️@PEoperator·
Requiring an emissions test on an electric vehicle is peak government.
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PEoperator⚡️
PEoperator⚡️@PEoperator·
When I’m dealing with a stubborn problem, I think back five or ten years ago and ask myself: “Would I have wished for this problem then?” Nine times out of ten, the answer is yes. Keep some perspective. Sometimes you are dealing with a problem you prayed for years ago.
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Blueprintsmb
Blueprintsmb@blueprintsmb22·
SMB buddy who owns a testing biz called me today to catch up. If I could own any business one of my other SMB buddies own, it would be his => Re occurring revenues with management team in place with well known strategic buyers as a potential exit. Buddy: "Dude, I was thinking about you this week. It must be seriously nice knowing you have enough money that could literally walk away from your business and retire today and never work again. That must be mentally freeing.” Me: "I just got into a screaming match with my XPO rep as they are refusing to pickup two pallets setup for pickup by GM Canada because they claim the paperwork doesn't have appropriate information for customs. I've been dealing with this for an hour and am refusing to let the driver leave without these two pallets, as I am 100% sure they are wrong. Also two team members are unexpectedly out today so the bags I promised we would ship today to Braintree, MA, won’t ship. Customer is livid.” Buddy: “Sounds like a normal day for you." Me: (sigh) “Yup.”
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