Nipul Chokshi💯

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Nipul Chokshi💯

Nipul Chokshi💯

@nipulc

Sworn enemy to meaningless jargon, unnecessary complexity and a stifling status quo. Marketing @atriumhq @DunBradstreet @Lattice_Engines @yammer @marketo.

San Francisco, CA Katılım Ekim 2006
2.2K Takip Edilen1.2K Takipçiler
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Mark Cuban
Mark Cuban@mcuban·
I’m going to tell you how much worse it was at the start of the PC Revolution for white collar workers trying to adapt, vs today with AI Today, presumably every white collar worker has access to a smart phone and/or a PC/laptop. Back then, a PC cost $4,995 , an off brand was $3,995. 5k in 1984 is about $16k today. It was really expensive. The only reason I could learn how to code and support software is because my job let me take home a PC to learn. By reading the software manual. Literally. RTFM. Or pay to go to training. Classes that started at hundreds of dollars then. It was expensive. It absolutely limited who could get ahead. Today, ANYONE can go to their browser, to the AI LLM website of their choice, and type in the words “I’m a novice with zero computer background, teach me how to create an agent that reads my email and …” That concept applies to LEARNING ANYTHING Think about what this means. Any employee of any company can say “ I need to learn how to xyz for my job , which is to do the following: Tell me what more information do you need to help me be more efficient, productive and promotable”. Or “ what new skills can you teach me that will help me reduce my chances of getting laid off “. Or “what suggestions do you have for me to communicate to my boss, who I barely know, to help my chances of staying employed “ These aren’t great prompts. But they are a start that anyone can take. Think about how incredible that is. Back in the day was so much harder for white collar workers. It was harder for new grads because unless they took comp sci, they probably had never used a PC. Big Companies are going to cut jobs. No question about it. Small companies is are going to need more and more AI literate thinkers who can help them compete or get an edge What I tell every entrepreneur, and it’s more crucial today. “ when you run with the elephants there are the quick and the dead. Adopt tech quickly , you can out maneuver big companies. “
Mark Cuban@mcuban

An article from the 90s explaining how in the 1980s, personal computers changed the dynamic of college vs high school workers. College grads learned how to use PCs and grew wages faster Mind you, this was when interest rates were 15pct, white collar unemployment was the highest it’s been any non covid year, general unemployment was 10pct, there was a recession, 18pct mortgages, and the start of the savings and loan industry collapse. The economy was a mess. Except it was the start of the “digital revolution “ which lead to change. Here we are at the early days of the AI revolution. I think it will be very analogous to what happened back then. If you think learning how to use Clause seems daunting, imagine being 50 yrs old in 1983, not knowing how to type, using a 1.0 key adding machine with a tape roll to do all your work as an analyst and realizing you had to figure out how your brand new IBM PC and lotus 1-2-3 worked. Or having only used a typewriter your entire career , then having to learn the new PC and WordStar. Trust me. WordStar key combinations were far harder to learn than telling Claude what you want done Lots of people couldn’t figure it out. Those who did were more productive Ctrl QA with AI nber.org/digest/sep97/h…

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Alex Vacca
Alex Vacca@itsalexvacca·
We built 12 Claude Skill files that run our entire GTM operation inside Clay (and I'm giving it all away) Prompts give you generic output. These skill files on the other hand are built from hundreds of Clay tables across 80+ B2B clients at $7M ARR. Each one does a specific job: → Company Research Agent → Personalization Writer → ICP Scorer → LinkedIn Profile Analyzer → Data Cleaner & Normalizer → Objection Handler → Email Sequence Writer → Competitor Analyzer → Job Posting Analyzer → Technographic Qualifier → News & Signal Synthesizer → Account Brief Generator How it works: drop it into Clay → map your columns → run. No prompt engineering. No switching tools. Just output. Giving the full pack away free. Reply "SKILLS" and I'll send it.
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Nipul Chokshi💯
Nipul Chokshi💯@nipulc·
uh oh - am I crossing some sort of rubicon here?
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Nipul Chokshi💯
Nipul Chokshi💯@nipulc·
This is really good!
Henry Schuck@HenryLSchuck

Over the last 12 years, I've worked with 4 Private Equity funds at ZoomInfo. Here’s my 12-step playbook for working with PE Owners. In 2014, I took on my first PE investors (TA Associates and 22C Capital). In 2018, we brought on Carlyle and CPPIB. Private Equity is in the headlines everywhere now - buying businesses like Smartsheet, Zuora, SolarWinds, Avalara… Here are lessons I learned on how to make working with them a LOT easier. 1. Get aligned from Day 1 Ask them what they underwrote the deal to. That’s a fancy way of asking: “What did you tell your investment committee this business would be worth in 4–5 years in the base case?” Then ask about the upside case. If you want real alignment, ask for the memo. If they get squirrely, just say: “I assume there might be some misgivings about me in there - can we talk about those so I’m aware?” There is no faster way to get aligned than seeing exactly how they described the investment. 2. Understand the clock If you want to invest in growth and bring down margins to do it, do it early. As you approach exit, EBITDA becomes a sacred cow. Want to launch a new product? Great. Show what sales is committing to it and when. If you can’t do that, don’t even bother asking. 3. You don’t have to do everything they tell you After my second board meeting I went to D. Randall Winn (my PE board member and CEO of S&P Capital IQ) and said, “Randy, just tell me what you want me to do and I’ll go do it.” He laughed and said: “Whoa whoa, that's not how it works - no one here knows your business as well as you do. We’re going to give you advice and pattern match. Your job is to listen and decide.” That said, you MUST listen to their advice and explain your choice. This doesn't have to happen immediately. Try phrases like this: “I hadn’t thought about that - it’s a good point, I want to take some time to think it through and get back to you.” Then actually follow-up. 4. You NEED a strong CFO and FP&A team Most of your private equity investors’ interactions are with your CFO. A strong CFO and FP&A team build trust. They help you craft strategy around data AND they're endlessly valuable to your PE partners because they can build models and get them the data they need to understand what’s happening in the biz. This makes life easier for you and them. 5. Response time matters PE employees work all hours. One of the associates on our deal told me that she was sleeping in her car outside their office for ~2 hours and then starting to work again cause she didn’t want to waste 30 mins driving home. When they email asking for clarification or making a suggestion, respond fast - even if it’s just to say you’ll follow up. 6. Send them swag This one might sound dumb, but you want them to FEEL like they are on your team. When you get new swag, put it in an envelope and send it with a nice note - you want them to feel the same level of pride you feel in your company. 7. Expect pressure to do M&A I remember being at a PE conference where they flashed a slide showing that portfolio companies that did M&A far outperformed the ones that didn’t. Every firm had the same slide, they all believe it and you should expect pressure here. 8. Be prepared to offshore They believe deeply in offshoring because labor offshore can be equally talented at 1/2 to 1/3 the cost. There is an organizational tax that comes with this, you can’t negotiate it away. You just have to prepare the company to manage it. 9. When a metric goes sideways, don’t show up like a macho man If you show up with a confident solution, you’re begging for a fight. Instead: present the metric, share POTENTIAL hypotheses, explain what you’re testing and ask what they think you might be missing Make them partners in solving, otherwise you’ll quickly turn them into adversaries poking holes. 10. Cutting costs is easier than driving growth This is just objectively true. If your strategy increases costs in the hope of faster growth, you need to answer two questions: - What metrics and checkpoints will tell us this is working - and when do we kill it if it’s not? - Does the additional growth actually change the multiple and valuation of your business? If you go from 15% to 20% growth in an EBITDA-dilutive way, you may have made the business worth less, not more. Your PE partners will care a lot about this. 11. They LOVE pedigree. Hiring someone from Stanford or Salesforce is almost never questioned. But take a risk on a state school or a non A-plus company hire and you’ll be defending that person even in good times - your job is to build the best team you can so the price of doing that is owning those hiring decisions at the board level. 12. Relationships matter There were a handful of times where I knew that I got on the wrong side of one of my PE board members. So I would tell my wife, “hey listen, I’m flying to San Francisco or New York on Sunday and I’m going to have breakfast with them and then fly home.” Then I’d call them and just say “Hey, do you have time for breakfast on Sunday? Maybe a workout before.” They always said yes and it gave me 4 hours of time, some relationship building and then we got right into the reasons we were misaligned and what I could do better. These were super valuable - don’t EVER underestimate the power of getting in person with your partners - same rule applies to your team. The thing I loved about working with Private Equity is that there is no singing kumbaya pretending we are some happy family. It’s a 4-5 year relationship and the expectations are very clear. I really appreciated that.

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Christian
Christian@coldemailchris·
AI does 90% of our initial GTM strategy formulation all in just these 6 prompts. This has been a MASSIVE unlock for speed to winning GTM for our diverse client base. Here’s what these prompts cover: 1/ Deep Market Research Generates all key GTM-relevant information about the target company to use as foundational context 2/ TAM Mapping Identifies all relevant industries/sub-industries, along with market size, value, and growth data 3/ ICP Modeling Builds ICPs from TAM outputs, ranks segments by priority, defines ideal personas, outlines their pains/needs, and provides initial messaging angles. 4/ Company Account Sourcing Finds the best databases, directories, scrapers, and niche sources to acquire accurate company data for any targeting requirement. 5/ Targeting Keywords Generation Creates precise industry/persona keyword lists for database filtering (e.g., Apollo) that outperform broad industry filters. 6/ Messaging Creation Generates multiple email script variations—different lengths, offers, pain points, case studies, and complexity—using context from earlier prompts. Want these copy-and-paste prompts for yourself? 👉 Comment "Prompts" and I'll DM you this document + LLM project you can use to extract the AI prompts. (Must be following to receive)
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Nipul Chokshi💯
Nipul Chokshi💯@nipulc·
Auto categorization in Apple Reminders Apple Intelligence puts Eggs under “Household Items” when there’s literally another section for “Eggs”
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Alex Prompter
Alex Prompter@alex_prompter·
Claude Opus 4.5 is ridiculously powerful. But almost everyone is using it like a basic chatbot. Here are 5 ways to use it that feel unfair: (Comment "AI" and I'll DM you a complete Claude Mastery Guide)
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Nipul Chokshi💯
Nipul Chokshi💯@nipulc·
Yes!!! “companies aren’t just paying for hours anymore. They’re paying for judgment… ability to make good calls quickly…ability to know which doors are worth opening.… and for the intuition that keeps you from wasting months chasing the wrong idea.”
Cristina Cordova@cjc

Working Hours, Then and Now The debate around the 9-9-6 work schedule strikes me as oddly shallow. Startups in China have been doing this for years, and I remember back in the mid-2010s it was practically an article of faith among people watching the industry that this was why Chinese startups would beat their American counterparts. But here’s the truth: no one has to force you to work long hours if you really want to. The founders and early employees who push hardest aren’t usually doing it because someone set the office lights to stay on until midnight. They’re doing it because they care. It’s not obedience—it’s compulsion. The Role of Urgency In industries where being first really matters—ridesharing a decade ago, or AI today—the only advantage you can really compound is speed. If you and your competitors are equally talented, and you both see the same opportunity, the one who simply spends more hours in the problem space has the edge. Time becomes the rawest form of capital. This doesn’t mean it’s sustainable forever. It rarely is. But there’s a reason why some companies choose it anyway: because the window for success may only open once. The Shift That Happens With Age When I was younger, I worked longer hours, and not because someone told me to. At 22, few other time-intensive priorities, my work was my best use of time. But as I’ve gotten older, I’ve realized that companies aren’t just paying for hours anymore. They’re paying for judgment. For the ability to make good calls quickly. For the ability to know which doors are worth opening. They’re paying for experience, for the network that makes introductions possible, and for the intuition that keeps you from wasting months chasing the wrong idea. So yes, I work fewer hours now. But I don’t feel guilty about it. If anything, the work I do now counts for more than the hours I used to put in. Time as Leverage There’s a progression here that mirrors how startups themselves evolve. In the earliest stage, what you need is sheer effort. Later on, effort compounds into something more valuable: leverage. A founder who is good at hiring can accomplish more in a 50-hour week than they used to in a 90-hour one, because they’ve figured out how to multiply their time. Individuals work the same way. What you do in your early 20s is different from what you do in your 30s or 40s, because what you’re bringing to the table is different. If you still think output is proportional to hours worked, you’re probably underrating the compound returns of experience. And that’s why I don’t worry about not grinding quite as hard as I used to. The form of work has changed, but not the commitment to it.

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Nipul Chokshi💯 retweetledi
Julie Zhuo
Julie Zhuo@joulee·
What is hard about corporate politics aka “getting shit done when different people have different opinions” comes down to: 1) empathizing with the other side even when you disagree 2) standing up for what you believe even when the other side disagrees 3) not taking disagreements personally People who are good at #1 typically suck at #2, and vice versa. Most everyone sucks at #3. This is why the game is hard.
Julie Zhuo@joulee

The problem is that “corporate politics” sounds ick and needs a rebrand. If you called it “getting shit done when different people have different opinions,” suddenly it makes no sense to say this is “beneath you.” Indeed you are playing the game, whether you like it or not.

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Nipul Chokshi💯
Nipul Chokshi💯@nipulc·
Hello @grok Do you know who was the most famous person (with the most followers) who visited my profile? They don’t have to be mutual. Don’t tag them, just say who it was.
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Hurley
Hurley@Johnsjawn·
Some time in the past week, I crossed the AI threshold. Rarely am I doing any work without AI at this point. I spend more time going back and forth with AI (mix of Notion and ChatGPT) on tasks than directly creating the final output. Here are examples and what changed... I pretty much always have 1-2 AI tasks (call them agents or whatever you'd like) happening in the background at all times. Even on my commute, I start one, drive home listening to a podcast, and then check the results when I get home. I don't want to close my computer because I'm afraid that will interrupt whatever task I have running. Every meeting or conversation I have that "wait, are we transcribing this?!" moment. And whenever I have a thought, I record it. I use it for creating content, doing research and analysis, building processes, planning strategy, and personal life tasks. Examples from the past week… - Building event planning calendar with instructions that I can share out to the group to input important information (Notion) - Drafting OKRs for 2H based on bottoms-up team projects and company goals. Also with Agent-tagged team meeting AI-generated notes in Notion for where team had questions around draft 2H plan, chatted with it about how to address questions and concerns brought up in the meeting, and edit the plan. (Notion) - Redrafting 2H plans to match a template all other marketing leads were asked to complete. (Notion) - Helping me diagnose back and hip pain, understanding the type of care I need, and finding doctors and wellness services covered by my insurance by uploading my insurance card (ChatGPT) - Organizing complex trip logistics (comparing hotels, determining best routes to get where we need to go). (Notion) - Creating release email copy variants for different audiences, including writing screenshot copy. (Notion) - Building a simple process flow and checklist doc for our launches based on misc docs and Slack threads. (Notion) - For my side hustle, doing detailed research on trucking options for transporting wine from our winery to our warehouse facility and drafting emails to the top options. (ChatGPT) - Critiquing demo script, and redrafting to make it more natural. (Notion) - Building proposal for video content — assessing current state, gaps, and plan for addressing gaps—including resourcing needed. (Notion) - Creating a launch positioning perspective doc based on several recent questions I got over Slack. Chatted with agent about the context and "questions behind the questions". (Notion) - Critiquing and redrafting customer story — generating titles and short descriptions based on most recent best stories. (mix of Notion and ChatGPT) - Analyzing raw responses from a messaging test (over 300 open field responses) and building a message test report with takeaways and specific recommendations on how to change the creative and copy. (Notion) - Building a recipe for pea soup based on my cuisine preferences, which I taught it by taking a picture of all the cookbooks I have and tagging my list of favorite restaurants…which is a list I started by asking AI to create it based on my past trips and events in my calendar. (mix of Notion and ChatGPT) - Uploading screenshots of my last few hundred liked songs on Spotify, creating a "my music profile", and a list of 100 songs to check out. Built a database with links to the songs in Spotify so I can track what I listened to and liked or didn't like. (Notion) …I could keep going (workout tips, get well plan for a dying plant, drafting emails and Slack messages, lots of "where is this doc" searches). One of the few things I've 100% manually written in the last few weeks is this note 😂. How much time exactly is this saving? Not sure but it's a lot. But more importantly, I'm just able to do more and do things better. I'm a better worker, writer, manager, athlete, friend, partner. So what changed in the last few weeks? Obviously a big part of this is that much of my work and life happens inside of Notion (or tools like Slack and email that Notion can analyze for information), and that context is critical for to do many of the things above. But there have been a series of other recent changes that are making AI much more accessible and useful for almost everything. Sidebar chat, model selection (Claude Opus is my go-to), enhanced page and database edit/create capabilities, uploading images, AI transcription, connections to more of my apps, and just quality of models and therefore output (rarely seeing failed or throw away responses). It’s the combination of all these that have exploded my usage. It no longer feels scary or intimidating, just incredibly capable, and we're still in the early days.
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