Bart Krzesinski

Using this account as a working notebook on founder-led sales, positioning, GTM systems, and practical AI. The thread I keep pulling on: How do B2B teams turn attention into qualified conversations without building a bloated sales and marketing machine too early? I will write about: - offer clarity - buyer urgency - founder-led sales - outbound and follow-up - content that creates buying intent - AI workflows that improve judgment, not just volume Mostly notes, teardowns, and small practical observations from building Not Serious Pro.

@mariyav4leva 300 follows in 1 week is hard but doable. Of course you have to stay consistent and share the meat. The meatier the better , lol. Am I right or am I right?

you can just - start an account on X - publish 3x/day - be friends w/ people building cool stuff - and grow by 300 follows in 1 week if you're active the goodwill on here is unmatched my newest favorite platform.

@adriansolarzz SYSTEM

i'm LEAKING our entire $0.01 per second AI UGC system: you'll learn how we engineered AI UGC production down to roughly $0.01 per second of generated video... without paying SaaS platform markups ever again. like + comment "SYSTEM" and i'll send it over (must be following + RT for priority access)

@johnpmagnor System-led sales scales only if the system carries the right judgment. If it just runs activity without founder-level signal about pain, timing, risk, and next step, it scales motion while quietly degrading deal quality.

Founder led sales: Revenue depends on your mood, your calendar, and how much coffee you had. System led sales: Revenue depends on whether the system ran today. One of these scales. The other one burns you out by Q3.

@GoldilocksOrbit Exactly. Smart-sounding content is cheap if there is no contact with the problem. The useful version carries friction: a customer objection, a failed assumption, a painful constraint, a tradeoff the founder actually had to make.

Most founder content sounds like ChatGPT because the writers are optimizing for 'sounding smart' instead of actually solving a hard problem. Insight requires friction, not just pattern completion.

@aaravdayal People care when the raw journey is tied to real decisions. Wins, misses, tradeoffs, what you changed after talking to users, what you misunderstood. Production quality helps, but the trust comes from showing the learning loop clearly.

Would people care if we made a founder vlog every 4 days and posted our real, raw journey? Unlike most founder content it would contain all the ups and downs. Real lessons. Figuring things out on the way. Professionally shot. ?

@SoniyaSaidSo Yes. Good content should reduce sales friction before the first call. If it makes the right person feel seen, names the objection, and gives them a better frame for the problem, the sales conversation starts warmer and more honest.

Your content should do 3 things: • Make the right person feel seen • Build trust before the call • Remove objections before they speak Most founder content none of these It motivates. It performs. It doesn’t converts. If your content isn’t building trust, it’s just noise.

@ShraddhaShips This is the part people miss: founder content is market research with a public memory. The real numbers, questions, and messy decisions teach the market what you are learning and teach the founder what actually resonates.

solo founder content strategy that actually works: post your process publicly. document the real numbers. ask questions you genuinely need answered. reply to everyone in your first hour. your audience doesn't want a guru. they want proof that someone just like them is figuring it out. that's the content. that's the distribution. that's the moat.

@clearclause Procurement stalls are often trust gaps before they are legal gaps. If compliance proof becomes part of the sales motion early, it changes the conversation from "can we approve this?" to "what risk has already been removed?" That is a real pipeline accelerant.

SaaS deals stall during enterprise procurement over data privacy. If you can't prove compliance instantly, buyers move to competitors. Use a real-time compliance infrastructure as a core selling point to build immediate trust and accelerate your sales pipeline. #PrivacyCompliance

@johnpmagnor False choice. Founder-led sales should discover the judgment; system-led sales should preserve it. The dangerous handoff is when the playbook captures words but loses the founder's read on pain, timing, risk, and why a buyer moves now.

Founder led sales: You know the pitch. You read the room. You close 40%. Revenue caps at your calendar. System led sales: The pitch is documented. The room is scored. Reps close 25%, but there's 10 of them. Revenue caps at your ad spend. Pick one.

@_Magnetude The bottling founder storytelling point is the real game. Early GTM is not just scripts; it is the founder's taste around buyer pain, timing, objections, and what makes a next step obvious. Scaling works when the system preserves that judgment.

Founder-led sales works until it doesn’t scale. In this special #ShiftAndThrive compilation episode: • Founder-market-fit vs product-market-fit • Why early GTM tactics break at scale • How to “bottle” founder storytelling Listen now: hubs.li/Q04hX5RT0 #FounderLedSales

@a_chizitere @Blossomaffia @Mobolajiea @IkonoCatherine @FunmilayoAkin01 @uyosue154 @chisom_nwankire @starter_story Exactly. The questions are the system before the spreadsheet. If the founder cannot answer who feels the pain, why now, what makes them switch, and what happens after the first yes, the pipeline tool just gives uncertainty cleaner columns.

@notserious_pro @Blossomaffia @Mobolajiea @IkonoCatherine @FunmilayoAkin01 @uyosue154 @chisom_nwankire @starter_story Absolutely 💯

A SaaS founder hired me to build his pipeline. First thing I did asked him 10 questions. He expected a spreadsheet. He got a 90-minute conversation that changed his go-to-market thinking. By question 4 he said "nobody has ever asked me this before." Here are all 10. Use them 🧵👇

@Daniel_Farinax How does that compare to codex ? Are there any real adavantages over using codex?

Beginner video: How to install & use Grok Build (made for non-technical SuperGrok and X Premium+ users) I got so many questions from friends, so I made this simple step-by-step guide. You’ll see exactly how to: • Install Grok Build in seconds with one command • Create real websites • Use Grok Imagine to auto-generate images & videos • Run multiple projects at once in different folders Grok even runs commands for you. No coding experience needed. Watch the full walkthrough 👇

Exactly. Saturated channels do not mean distribution is dead. They just punish weak context faster. Social selling works when it is not just posting more, but building repeated buyer memory around a sharp problem, a clear POV, and real conversations. The channel is crowded. The judgment still compounds.

@notserious_pro Yeah, and many channels are saturated. That's why we are betting on social selling.

Hi, I'm new to X and looking to #connect with #founders, #buildinpublic builders & GTM people. especially interested in: 🧱 B2B SaaS & early-stage startups 📣 LinkedIn distribution & founder content 🤖 AI products & organic growth systems background in VC and B2B SaaS GTM, 4x our inbound pipeline & built outbound system from scratch currently building Posting Machine in London, an AI content agency that turns your company context into LinkedIn posts & sales pipeline always down to talk distribution, content systems, founder-led sales, or the chaos of building something new

This is the kind of Founding Growth role where the title undersells the work. The job is not just "get more leads." It is turning frontier capability into market language fast enough that every customer conversation sharpens the demo, the narrative, and the product. Using the product to sell the product is the cleanest version of that loop.

New job opportunity at fast growing startup - backed by Neo After coming out of stealth a month ago, @NorthlightHQ is hiring for Founding Growth in SF. We 5x'd revenue over April, are bringing on 2 engineers this summer, and have created a "flywheel" by using the product to sell the product. We’ll take a look at every applications, and even if we say no, try to be helpful. If you want to sell frontier tech, comment below (or tag a friend) and our team will reach out.

This is a real company-building problem hiding inside an engineering post. If the product can ship faster than the org can remember, distribution eventually lags the product too: demos, onboarding, positioning, sales language, support. The interesting loop is turning shipped capability into customer-facing knowledge fast enough.

@NorthlightHQ has a problem. Three months ago we didn't have a product. Now we have one, and people love it, but in this process we've developed something we call "feature amnesia" For context, the way we build is: 1. A Linear ticket comes in 2. An agent reads the codebase and writes a full spec 3. A human sanity checks it 4. Then our coding agent (we call it Sisyphus) runs for hours (often days). 5. Then it ships. Customers get what they asked for. We just occasionally find out afterward. We're moving fast enough that the product is outpacing our ability to track it in real time. Which is a strange thing to say out loud, but it's where we are. We're looking for engineers who find that interesting rather than terrifying. If you want to push the frontier, come talk to us.@

@saasxyzco Usually some blend, but A teaches the rest. Founder-led sales gives you the buyer language, objections, urgency signals, and qualification rules. Then outbound, inbound, and referrals become distribution for a motion you understand instead of separate silver bullets.

How are you actually closing SaaS deals right now? A) Founder-led sales B) Outbound that barely converts C) Inbound nobody admits is working D) Referrals from that one loyal customer E) Prayer

@dangriffithsr Exactly. Stage names can make uncertainty look precise. A pipeline is not a forecast until each deal has a real buyer-side trigger, a clear next decision, and some evidence the buyer owns the urgency. Otherwise the CRM is mostly documenting hope with percentages attached.

Your dashboard is not broken. Your sales motion is. A founder pulled up his pipeline last week. $3.2M weighted. 47 open deals. All the right stage names, Discovery, Proposal, Negotiation. Then he said: "My CRM says I'll hit number this quarter, but I'm not sure I believe it." So I asked one question: "When was the last time the actual buyer moved on each of these?" Silence. Because the CRM was recording his optimism, not the buyer's behavior. So let me back up. Most founder-led pipelines were built around the founder's gut. "Discovery" means "I had a good call." "Proposal" means "I sent something." "Negotiation" means "they didn't say no yet." That's not a stage. That's a feeling. And here's the trap founders are walking into right now: they're bolting AI forecasting onto pipelines that were never cleaned up. But AI doesn't clean inputs. It amplifies them. A 47-day-stale deal won't get flagged as dead, it'll get folded into your forecast with quiet confidence. And you'll build hiring plans on top of it. You don't have a data problem. You have a process problem wearing a data costume. So before you shop for another AI dashboard, Seriously Don't Do That™. Fix the motion first. Here's the Friday-afternoon audit. Pick your top 5 deals. One page each: The real buyer - name, title, authority. The last verifiable buyer-side movement - date, and what actually happened. The next buyer-side decision required to advance. If you can fill all three for all five, you have a real pipeline. If you can't, you don't have a data problem. You have a process problem wearing a data costume.

@henry_purchase Interesting. The channel debate usually hides the real question: did the ad create enough context for a specific sales conversation? If the offer is narrow and the next step is obvious, even an unusual channel can work. If not, even the accepted B2B channels leak.

ChatGPT ads just booked 2 B2B sales calls for my own business. Everyone says this channel is ecommerce only. It holds right up until you actually run them.

This is where GTM engineering gets interesting. The agent is not just publishing more creative. It is shortening the loop between signal and decision. The catch: the loop still needs a sharp hypothesis for audience, promise, and conversion event. Automation amplifies the motion you give it.

GTM engineering this month we deployed an AI agent for a startup in the first week of May to manage their facebook ads it makes creative with nano bana 2, publishes it via facebook ads api, and manages the ad account based on live data from the account via data pipeline / data warehouse day 1: the cost per phone number lead was $17 two weeks later: the cost per phone number lead was $2 and 579 leads so far this agent makes and published 30 new pieces of ad creative per week, optimizes the ad account daily, and reduced the cost per action this is a virtual employee that's working full time if you want this more below