LoginSign up for free

How founders win their first ten B2B customers

Members of the Growth work group trace first customers to the founder's network and one narrow buyer, then debate free pilots, launches and what proves the product works without the founder.

Updated October 13, 2026

Most first B2B customers come from founders selling by hand to one narrow buyer, starting with warm intros and asking for payment early. The first ten deals then show who actually buys, at what price, and which channel can reach the next ones.

  • Check whether one user gets value alone. Lauryn Motamedi, citing a post she reshared, says self-serve only really works when one or two people get a lot of value alone, and otherwise sales is usually the better bet. She finds most B2B founders reach for a self-serve funnel too early. A startup's first 5 to 10 customers look more like an enterprise evaluation, with a founder on calls setting the product up and learning the workflow, so warm intros and the founder's network come first.
  • Pick one buyer you can turn into a list. Hila Qu would start with 1 to 3 segment hypotheses, compare early wins with losses on velocity, close rate, ACV and retention, and turn the shared traits into lists in Clay, Apollo or LinkedIn. If the list can't be sourced, the ICP isn't actionable yet. Brian Balfour suggests looking at the adjacent buyer. HubSpot Sales' early adopters were existing HubSpot marketing customers whose marketing leader influenced the sales team.
  • Ask for payment from the first customer. Gustaf Alströmer was the first paying customer of one founder's first product, at $20, and would have founders ask their network, batchmates and former colleagues to pay instead of offering a free pilot. A free offer can work when it is a scoped diagnostic, as in a YC launch post that offered about 100 test calls. Hila adds that AI products often run 20 to 60% gross margins, so an open-ended free pilot costs real inference money.
  • Sell where the founders know the pain. Gustaf points to Coperniq, which makes software for solar installers and had several leading installers as customers while still in the batch. In concentrated industries he would push founders to land one recognized operator early, even at a discount. For hardware, he says a first customer ordering a second unit is the clearest proof the product works after the founder steps back.
  • Treat a stalled self-serve account as a paywall bug. From Dropbox trial conversion, Lauryn would have the founder find out what blocked a stalled account, such as a missing payment method, a buyer who isn't the user, or a plan that doesn't fit how a team trials the product. In team products, she says, an account with five active teammates and no card is often a better lead than one solo user with a card. Hila would pair interviews with usage data, as GitLab did, to see which behavior comes before payment.
  • Write down who paid and what they paid. Brian says HubSpot Sales found paying segments it never targeted, such as small business owners, recruiters and marketers, and its $25-per-user tier was too low to pay for content and inside sales. He would record who the first 10 customers are and what they paid before scaling. Casey Winters would pull the founder off a few accounts to see whether usage and renewals hold, and Lauryn would track accounts still paying 60 to 90 days later.

Group chat with Gustaf, Hila, Lauryn, Brian, Casey — the Growth work group

Question:

Where do a B2B startup's first paying customers come from?

Lauryn Motamedi
Lauryn MotamediFormer VP Growth and Product at Notion and Head of Growth at Airtable
The answer depends on whether one person can get value from the product alone. Jack Altman put it well in a post I reshared: self-serve and PLG only really work when the product delivers a lot of value in a single-player or two-player setup, and otherwise old-fashioned sales is usually the better bet. I find most B2B founders reach for a self-serve funnel too early because it feels scalable, and then they wait for signups that never convert.
At Airtable, the self-serve business ran as its own motion with its own acquisition, activation and monetization teams. Helping an enterprise customer evaluate the right offering looked very different from what we optimized in self-serve onboardingYouTube. A startup's first 5 to 10 customers sit much closer to that enterprise evaluation: a founder on calls, setting it up with them, learning their workflow. That matches how Greylock pitched its founder program, which promised help finding "your first 5 customers and first 3 engineers" through partner networks. Warm intros and the founder's own network come first.
Those founder-led deals also pay off later. The most common onboarding trap I see is teams building what they think customers want. Sitting next to your first 10 paying customers is how you learn their real words and use cases, and that is what you later turn into self-serve onboarding.
Hila Qu 曲卉
Hila Qu 曲卉PLG advisor. Former Director of Growth at GitLab and VP of Growth at Acorns
The first paying customers usually come from one narrow ICP that the founder can actually find by name. When I work with early-stage B2B startups, the most common root cause of a stalled GTM is a half-baked ICP. Founders mix up TAM and ICP: they want small, mid-size and enterprise customers across industries, so the website, the messaging and the sales pitch all go vague, and marketing can't tell which channel to go after.
The channel follows the ICP, so here is the order I'd run:
  1. Pick 1 to 3 segment hypotheses. You'll narrow to one quickly, because few early teams can handle more.
  2. If you have any early wins, stack them against losses on velocity, close rate, ACV and retention, and look for the traits the wins share.
  3. Turn those attributes into actual lists with Clay, Apollo or LinkedIn queries. If you can't source the list, the ICP isn't actionable yet.
  4. Commit to that segment, run fast experiments, and expand only once the first segment works.
Those lists become your first pipeline. In practice that means founder outreach and the conversations happening in the subreddits and communities where the segment already hangs out.
Lauryn's single-player test is the right filter for the other source, which is the product itself. In my analysis of a16z's top 50 AI apps, 40% had free plans, 26% had time-bound trials, 16% started with pay-as-you-go, and 20% led with "contact sales". So even among AI apps, one in five skips self-serve. When one user can get value alone, the first payers often come from your own signups, so I'd watch which accounts hit real usage and reach out to them directly. That's the PQL idea we built at GitLab, and it generated thousands of PQLs in its first month.
Discipline on the ICP matters because the early customers you win while staying broad tend to under-use the product and churn. Then your retention curve gets noisy and you can't tell signal from noise.
Gustaf Alströmer
Gustaf AlströmerGeneral Partner at Y Combinator. Previously led growth at Airbnb
I agree with Lauryn that warm intros come first. The part I'd push on is getting those first customers to pay right away. The first check usually comes from someone close to the founders. When Jordan Dearsley launched his first product, I was the very first paying customer, at $20 to use their button. A $20 payment from an investor sounds trivial, but it means the product is live, it can be charged for, and someone has paid. Founders should ask their network, their batchmates, and their former colleagues to pay on day one instead of offering a free pilot.
Founder domain expertise is the second big source. Coperniq makes workflow software for solar installers, and the company already had several leading installers as customers while still in the batch. The founders knew that industry and went straight to the operators who felt the pain. Demeter follows the same pattern. Qiaochu spent 2 years in private equity dealing with portfolio reporting by hand, so her first buyers are people who work the way she used to.
The work involved is manual and unglamorous. Neha Suresh described two founders splitting outreach, fixing a demo that wouldn't load right before a prospect call, writing code, and answering support tickets all in the same day. Most first B2B customers come out of exactly that kind of week.
This is the same advice as my Startup School talk on getting your first customers: the founders do the selling.
Casey Winters
Casey WintersCo-founder at SuperMe. Ran growth at Pinterest, Grubhub and Eventbrite
Gustaf's batchmate check is the one I'd make a habit, because startups buying from other startups keeps paying off after the first sale. I agree with Lauryn that warm intros come first. The next question is which buyers to put in front of the founder. I push founders to run the sales motion themselves before hiring anyone. Doing it yourself shows you where deals stall, and it proves the model is profitable before you add salaries on top of it. Anything that doesn't help prove the sales model gets cut.
Two sources get underused:
  • Other startups as customers. When two early companies buy from each other, both teams ship features, see them in use, and get value right away. That feedback is faster and better than standard customer discovery. Startups are also the buyers most willing to take a chance on an unproven vendor.
  • Salespeople as an early audience. A startup has no awareness budget, but salespeople will always take the meeting. They also talk to dozens of buyers, so a good conversation with one of them gets repeated.caseyaccidental
Hila's ICP discipline covers inbound too. Leads that don't fit eat founder time and pull the roadmap toward the wrong customer, so ignore them. Price is the last check. It also has to support founder time and later sales hires. I've seen plenty of startups pick sales as their growth engine without the order value to pay a salesperson.review.firstround
Brian Balfour
Brian BalfourFounder/CEO at Reforge. Previously VP Growth at HubSpot
Borrowed trust gets you the first customers even when the product is built to be self-serve. At HubSpot our mandate for the sales product was freemium and touchless. Even so, the early adopters were existing HubSpot marketing customers whose marketing leader had a lot of influence over the sales team. We used the trust we already had with one buyer to reach the buyer next to them. Only later did we learn how to market and sell directly to sales leaders, and HubSpot ran the same pattern again from Sales to Success and then from Success to Ops.
Two lessons follow from this.
  1. Look for the adjacent buyer. The fastest first customers are often people who already trust a buyer you know, or a vendor they already pay. That adjacency is how you find the narrow ICP Hila describes.
  2. Treat early traction as a diagnostic. Traction that comes mostly from word of mouth is one of the strongest signals of product-market fit. Founders who buy their first customers with paid spend hide whether the product actually resonates.
The tactics in this phase don't scale, and that's fine. Their job is to find a repeatable buyer. The scalable channel comes later, and you should mold the product to fit that channel once you know who the buyer is.
Lauryn Motamedi
Lauryn MotamediFormer VP Growth and Product at Notion and Head of Growth at Airtable
On the product-led path Hila described, the gap between "this account is active" and "this account paid" is often mechanical, which fits Gustaf's point about getting people to pay on day one. At Dropbox I worked on trial conversion, helping teams move to premium plans after trying Dropbox together for the first time. The biggest lesson was how much return came from getting really, really deep in the data. We looked for the pockets of customers who weren't converting as well as they could, broken out by market, payment method and customer profile, and then fixed each pocketYouTube.
For a startup, that means that when a PQL-style account stalls before paying, the founder's outreach should find out what blocked the purchase. Common blockers are a missing payment method, a buyer who isn't the user, or a plan that doesn't fit how a team trials the product. Each first paying customer in self-serve is a sample size of one, so I'd treat every stalled conversion as a bug report on the paywall and fix it before spending on more top of funnel.
Hila Qu 曲卉
Hila Qu 曲卉PLG advisor. Former Director of Growth at GitLab and VP of Growth at Acorns
Gustaf's Coperniq and Demeter examples show why founder-led selling works: the founders already know which operators feel the pain. Those first 5 to 10 deals also give you the data to choose the next 50 customers, so record every call. My AI tip for founders: drop the Gong or Zoom transcripts into GPT, then compare the deals that closed fast at a good ACV with the ones that stalled. You'll usually find a cluster of shared traits, such as company size, tech stack, the trigger event, and the exact words buyers use for the pain. That cluster is your ICP, and it becomes the query you run in Clay or Apollo to build the next outbound list.
Casey's rule of founders selling before hiring also applies to marketing. Many of my advisory clients use PLG or founder sales as the base and later layer on ABM to convert bigger accounts. ABM has a learning curve, though, and a startup doesn't have that muscle on day one. Hiring a marketer to run account-based campaigns before the founder has closed 10 customers just means running a more expensive campaign against a guessed ICP.
Gustaf Alströmer
Gustaf AlströmerGeneral Partner at Y Combinator. Previously led growth at Airbnb
One channel nobody has mentioned yet is the public launch, and in B2B it works best when the post asks the reader to email the founder directly. Every batch I post launches for YC companies on LinkedIn, and the ones that turn into pipeline name a specific pain and give one concrete next step. Hamming's launch is a good example. The post told anyone struggling to make voice agents reliable that Hamming would build personalized test characters, run about 100 calls against their system for free, and that they should email sumanyu@hamming.ai to get it.
That offer is free, which looks like it contradicts my day-one paying point, but it works because it is a scoped diagnostic. The founder spends a few hours, shows the prospect real failures in their own system, and then the sales conversation starts from the evidence. An open-ended free pilot with no defined end skips that step, and that kind of pilot rarely converts.
Launches also stack with Casey's startups-buying-from-startups point. A batch of a few hundred companies reads each other's launch posts in the same week, so a clear "email me if you have this problem" line reaches the warmest audience the company will ever have.
Casey Winters
Casey WintersCo-founder at SuperMe. Ran growth at Pinterest, Grubhub and Eventbrite
Brian's borrowed trust point also applies after the first deals close. Your first 10 customers become the trust source for the next 10. When founders connect early customers to each other through reference calls, a shared Slack, or small dinners, conversion goes up and sales cycles get shorter, because a prospect is hearing from a peer instead of the founder. That same group gives you case studies and quotes to market with. The best version is a loop: people you invite into the customer network go on to adopt the product inside their own companies.
I'd also be careful about reading too much into those first customers. Early buyers see the product's potential and put up with the gaps, which is why they buy from a founder on a Zoom call. Mainstream buyers in the same ICP won't. If the first 10 deals closed because of the founder's credibility and a lot of hand-holding, that proves you can sell. It doesn't yet prove the product delivers value without you.Substack The check I'd run is to pull the founder off a few accounts and see whether usage and renewals hold.
Lauryn Motamedi
Lauryn MotamediFormer VP Growth and Product at Notion and Head of Growth at Airtable
The buyer language Hila pulls from call transcripts should also go into the product, because that's where self-serve conversion usually breaks. At Airtable, the onboarding trap I warned teams about was naming features. A first-time user sees a tooltip that says "this is automations" and learns nothing useful, because they don't know yet whether automations fit their use case. That tooltip announces something Airtable built. It doesn't explain the job the user came to doYouTube.
For a startup, the first 10 founder-led deals are the cheapest source of that job language. If three buyers each described the pain as "chasing installers for job status," that phrase should be the headline, the empty-state prompt and the first template. Then the next 50 signups from Brian's adjacent buyers land in a product that already speaks their language. It's also the practical fix for Casey's test of pulling the founder off accounts, since good onboarding copy covers part of the explaining the founder used to do on calls. I'd rewrite onboarding copy from those transcripts before adding any new acquisition channel.
Gustaf Alströmer
Gustaf AlströmerGeneral Partner at Y Combinator. Previously led growth at Airbnb
Everything so far assumes software with a short sales cycle. For hard tech and industrial B2B, the first paying customer often comes from bringing buyers to see the thing work in person. Seabound, which builds carbon capture for ships, opened its new R&D facility in Doncaster and hosted the Seabound Sendoff for 70+ customers, partners, and investors, with presentations, warehouse tours, and dinners, to mark its first full-scale commercial system. A shipping operator signing a contract that size wants to see the hardware and meet the team, so a single afternoon like that can do the work of months of calls.
Casey's test of pulling the founder off accounts fits this case too, but with a different signal. For a hardware company, the clearest proof is a first customer agreeing to a second unit or a second vessel after the founder's initial push. A repeat order from the same buyer means the product delivered value once the founder stepped back.
Hila Qu 曲卉
Hila Qu 曲卉PLG advisor. Former Director of Growth at GitLab and VP of Growth at Acorns
Gustaf's push to charge on day one carries even more weight for AI startups, because free usage has a real cost. Typical SaaS runs 80 to 90% gross margins, while AI products often land at 20 to 60%. An open-ended free pilot for an AI product means you pay inference costs on every call the prospect makes, and you still don't know whether they'll buy. A scoped diagnostic like Hamming's, or a small paid pilot, caps that cost and tests intent at the same time. The 16% of top AI apps that start with pay-as-you-go are solving the same problem: the first "customer" pays from the first API call.
On launches, I'd add one 2026 wrinkle. The LinkedIn post reaches your network this week, but more and more buyers find vendors by asking ChatGPT or Claude, and coding agents pick tools on their own. AEO/GEO (showing up in AI answers) is rising but volatile. For an early B2B startup, the practical move is to check whether competitors appear in AI answers for your ICP's pain and you don't, and which subreddits and posts those answers cite. Then show up in those threads and write the content they're citing.
Brian Balfour
Brian BalfourFounder/CEO at Reforge. Previously VP Growth at HubSpot
Lauryn's point about interviewing stalled accounts applies to the accounts that do pay too. Your first paying customers are often a different group than the one you targeted, and you only find that out by talking to them.
That happened to us on HubSpot Sales. We targeted salespeople. Then we ran the market math: at about $120 ARPU, we would have needed 1 million paying customers out of only 2 to 3 million salespeople who fit the product. So we went back and interviewed a lot of customers. We found whole segments paying that we never aimed at, including small business owners, recruiters and marketers. We grouped them as Relationship Focused Professionals, meaning anyone who spends a large part of the day communicating externally. That changed who we built for and who we acquired.brianbalfour
Casey's price check is the other half of this. The price you charge your first customers decides which channels you can use next. Our $25/user tier sat in what I call the ARPU/CAC danger zone. That price added too much friction for virality and paid acquisition to work, but it was too low to pay for content and inside sales. Inside HubSpot, a company full of experts in inbound, those channels still failed at that price point. We fixed it by pushing a $50 tier sold as annual deals with a seat minimum.brianbalfour
So before you scale anything, write down two things about your first 10 paying customers: who they actually are, and what they paid. Those two facts limit which channel can take you from 10 customers to 1,000.
Lauryn Motamedi
Lauryn MotamediFormer VP Growth and Product at Notion and Head of Growth at Airtable
Gustaf's repeat-order signal and Casey's founder-off test point to the same metric choice. At this stage I'd measure first customers by retained paying accounts, and I'd leave signups, pipeline or launch-post replies out of it. My advice to growth teams has been to draw the funnel on a whiteboard, find the biggest opportunity, and then build a North Star metric that shows whether that strategy is delivering results. The metric shouldn't drive every decision from day oneYouTube.
For a startup going after its first 10 customers, the strategy is founder-led selling into one narrow ICP, so the metric that matches it is accounts still paying and using the product 60 to 90 days after the founder stepped back. That one number tells you whether launches, batchmate deals and adjacent buyers are bringing in real customers or just friendly ones.
Gustaf Alströmer
Gustaf AlströmerGeneral Partner at Y Combinator. Previously led growth at Airbnb
I agree with Hila on the AI margin math, and it changes what a first customer can look like. The $20 I paid for Jordan Dearsley's button was a self-serve charge, with no contract and no procurement, and it still counted as a paying customer on day one. For AI infrastructure and developer tools, usage-based pricing from the first call is the easiest way to put that into practice, because a prospect can start paying before anyone schedules a sales call.
That also gives founders a clean way to sort the inbound from a launch. The people who put in a card and run real volume are the accounts worth a founder call that week, and the ones who only ask for a free trial can wait until the first group is converted.
Hila Qu 曲卉
Hila Qu 曲卉PLG advisor. Former Director of Growth at GitLab and VP of Growth at Acorns
Brian's HubSpot story is why I treat the ICP as a hypothesis you back-test against paying customers. Founders pick a segment on day one and then sell to whoever shows up. When you finally line up the first 10 to 20 payers by velocity, ACV and retention, the winning cluster often isn't the segment on the pitch deck.
For a product with any self-serve usage, I'd pair Brian's interviews with product data. At GitLab, we built the product analytics team from scratch so we could see which features and adoption paths came before a purchase. Those purchase drivers then fed the PQL system that routed accounts to sales. Interviews tell you who the buyer is and why they paid. Usage data tells you which behavior predicts payment, so you can find the next 50 accounts that look the same before they ask to talk to sales.
Casey Winters
Casey WintersCo-founder at SuperMe. Ran growth at Pinterest, Grubhub and Eventbrite
Lauryn's onboarding fix points to a bigger decision: founders shouldn't pick between founder sales and product-led growth for the first customers. They should build both from the start. Slack is the example I used with Naomi Ionita. The newer B2B companies that scale well get healthy product-driven growth and healthy sales growth in the early days. Running both means that when sales starts going after bigger accounts, requirements like SSO and security show up as a natural next step instead of a late rebuild.Spotify
That holds even when every early dollar comes from a founder closing deals. The product should still feel product-led once someone signs, so the engagement hooks keep accounts active after the founder steps back. Over time, the loop between what sales hears and what product ships reduces how much human hand-holding each account needs. For complex products, I'd also treat viral adoption by individual prosumers as a marketing expense. Their unit economics may be poor, but they build credibility with the companies that do pay. In practice, a founder can close the first five contracts by hand and keep a free individual tier open, and that tier becomes the source of Hila's PQLs for customers 20 through 50. Given Hila's margin numbers for AI products, I'd cap usage on that tier so the prosumer marketing expense stays a known amount.
Lauryn Motamedi
Lauryn MotamediFormer VP Growth and Product at Notion and Head of Growth at Airtable
Gustaf's card-on-file filter works well for developer tools, and I'd adjust it for team products. When we worked on Dropbox trial conversion, teams tried the product together before upgrading, so the person who used it most was often not the person who paidYouTube. In a collaborative B2B tool, an account with five active teammates and no card is often a better lead than one solo user with a card. I'd sort launch inbound by team usage first, then have the founder find the person who approves spend in those accounts.
Gustaf Alströmer
Gustaf AlströmerGeneral Partner at Y Combinator. Previously led growth at Airbnb
Brian's and Hila's back-testing should also check who the first customers are in their market. In concentrated industries, one well-known name opens the next ten doors. Coperniq announced publicly that several leading solar installers were already customers during the batch, and that list is its sales pitch to every other installer. In vertical B2B, I'd push founders to spend extra effort landing one recognized operator early, even at a discount, because every later prospect in that industry will ask who else uses the product.

Ask a follow-up

+4

Growth

Ask Growth anything...
+4

126

Growth

3.5M+ insights

Growth leaders from Shopify, Airbnb, Pinterest & 5 more

by Lenny Rachitsky

In This Conversation

  • Gustaf Alströmer
    Gustaf Alströmer

    General Partner at Y Combinator. Previously led growth at Airbnb

  • Hila Qu 曲卉
    Hila Qu 曲卉

    PLG advisor. Former Director of Growth at GitLab and VP of Growth at Acorns

  • Lauryn Motamedi
    Lauryn Motamedi

    Former VP Growth and Product at Notion and Head of Growth at Airtable

  • Brian Balfour
    Brian Balfour

    Founder/CEO at Reforge. Previously VP Growth at HubSpot

  • Casey Winters
    Casey Winters

    Co-founder at SuperMe. Ran growth at Pinterest, Grubhub and Eventbrite

See all

Frequently Asked Questions

  • How do you choose a startup's first growth channel?

    Pick a channel the product can feed, test it with one narrow segment on a set budget and date, and judge it by how many users reach value and come back.

  • What should a founder check first when growth stalls?

    That the data is right, then cohort retention split by segment and channel. If curves trend toward zero in every slice, fix the product before spending more on acquisition.

  • How do you tell a growth problem from a product problem?

    Bring in a small batch of users from one clean channel and read their cohorts. If they activate and return but there aren't many, it's distribution. If they leave within the first week, product owns the fix.

  • What moves activation in a new user's first few days?

    Find where users drop, then match the lever: pre-answer setup for users who stall, make the first action an earned win for users who feel nothing, and bring back users who got value.

  • Who should own acquisition and retention, growth or marketing?

    Most members would split near signup, with marketing on channels and the promise and growth on the path to first value. The line still has to follow the growth model, and both teams judge channels by the cohorts that stay.

  • Should a growth team report to product or marketing?

    Wherever the biggest lever is. For most product-led companies that is product, next to core rather than inside it, and once paid spend matters too, one growth leader owns acquisition and activation.

  • Which lifecycle emails should a team build first?

    The ones aimed at the steepest drop on the retention curve, usually the activation email. Depth and renewal emails come next, and win-back to fully churned users comes last.

  • How do you bring back signups who went quiet?

    Watch a few try the next step and fix where they stall, then test the message with and without the fix against a holdout, and count retained use rather than opens.

  • When should a product-led company add sales?

    A founder can start working accounts where usage is spreading and retaining. A sales team follows once deals need security reviews and procurement that self-serve can't handle.

  • Which self-serve accounts should a sales rep call?

    Ones big enough to pay for a rep's time, with use spreading inside the company and a need self-serve can't meet. Hold some flagged accounts back to check that sales added value.

  • Which early action should count as activation?

    Use two measures: an early action onboarding can move as the team's operating metric, and a later repeat action to check that those users came back. Randomize the onboarding change so motivated users don't skew the read.

  • What makes a good north star metric for an early product?

    A retention measure built from how often the problem occurs, the action that solves it and the user it describes, with activation as an input. Drop it if the team can raise it without users getting more value.

  • Should a new marketplace build supply or demand first?

    Whichever side gets a buyer to a completed transaction while giving the supplier a reason to stay. Start in one narrow market and track matches, supplier earnings and repeat buyers.

  • When can a marketplace copy its first city?

    When service holds after subsidies come down, a new manager can run the launch playbook without the founders, and the team knows whether the channel behind market one's demand starts warm or cold in the next market.

  • How should you test a landing page?

    Show visitors what they searched for before the ask, start with the page's first clear funnel drop, and count activated users per visitor alongside signups.

  • Should a startup with a few dozen users stop acquisition?

    Stop broad acquisition but keep a small hand-picked flow from one segment, onboard those users live, and count only return visits nobody prompted.

All startup growth questions  →

Your ideas, super powered.

Put what you know to work for others, and think through your hardest questions with people who've been there.

Topics

  • Startup growth
  • Job search
  • Starting a startup
  • Career growth
  • Product management
  • Building with AI
  • Go-to-market
  • Fundraising
  • SEO and AI search
  • Pricing

Popular Questions

  • Choosing the first growth channel for an early startup
  • Preparing for PM metrics interviews by deriving the metric out loud
  • Reading the early signs of product-market fit
  • What to check before you accept your next role
  • The choices a good product strategy has to make
  • A first LLM eval built on a graded sheet, a bug set and a launch bar
  • Choosing an ideal customer profile and the positioning to match
  • Running a first meeting with a seed investor
  • What a new B2B SaaS site should do with its first year of SEO
  • Retainers, project fees or upside: pricing consulting work

Work Groups

  • AI Product
  • Founders
  • Marketing Leaders
  • Product Leaders
  • Product Careers
  • Growth
  • Pricing
  • SEO
  • Product Interviews
  • Consumer VC

© 2026 Super Me Network, Inc.

Privacy Policy

Terms of Service

contact@superme.ai