Finding your first 10 paying customers

1. Why your first 10 customers get sold by hand

In this section, you will sell your product yourself to your first customers, one at a time. Selling by hand teaches you how your customers decide to buy, and you will need that information for the rest of the chapter. This chapter is about GTM (go-to-market): how you get your product to people who pay. At the start, GTM runs through founder-led sales, meaning the founder sells in person.

When Airbnb started out, nobody was signing up anymore. Brian Chesky and Joe Gebbia got on a plane to New York and knocked on hosts' doors to photograph their apartments. They did it by hand, one host after another, with no marketing plan. A few weeks later, the listings with their photos were flying off the shelf. The rest of the world would call that a growth hack (a quick move to speed up growth). They just called it "doing what needed doing".

When Stripe started out, the Collison brothers did something almost unbelievable. When someone showed a flicker of interest, they asked for that person's laptop instead of sending a link to the docs. They opened a terminal and installed the SDK (the piece of code that connects Stripe to a website) for them. Patrick later called it the "Collison installation". Today Stripe is worth a hundred billion. Back then, they were just two brothers installing their own product on their users' machines.

If you're starting now, you're about to live that exact moment.

One objective at this stage

You have your pyramid and a problem that keeps coming up for several people. You may also have a scrap of product: a Notion page, a landing page (a page that presents your offer), a clickable Figma mockup. Now you need people to pay. Liking the idea or finding it clever is not enough: they have to pull out a card, sign a quote, or send a bank transfer.

This line is the most important one in your whole first year. On one side, people say "that would be cool". On the other, they say "here, it's paid for". Between the two stands a wall, and you won't cross it with a website, a LinkedIn post, or an automation. You'll cross it by hand, ten times, so you can then describe the path to someone else.

Paul Graham wrote an essay on this in 2013, "Do Things That Don't Scale" (do things you can't repeat at large scale). The title has become a startup cliché, but the idea still holds. If you wait for sales to arrive on their own, you risk giving up first. The founders who last make sales happen, one customer at a time, until they see the same pattern repeat.

With this first sale, you are mainly looking for information.

Ten payments against a hundred interviews

In an interview, you collect declarative data: someone tells you "yes, I'd pay for this", and you have no way to check. People have ten reasons to look convinced without being convinced: politeness, projection, curiosity, the fear of offending you, the urge to seem interesting.

A payment is behavioral data. The person put their money down. They weighed the price of the product, the setup effort, the risk of looking foolish in front of their team, and they decided it was worth it anyway.

You only feel the difference once you've lived both. So aim for the payment fast, even a small one, even a hacked-together one, even from a single customer. As long as nobody has paid, you're doing user research, and that research can go on forever without anything happening.

Ten paying customers is the minimum threshold to start seeing whether you have an accident or a pattern that repeats. Below that, you can always tell yourself a story ("that customer was a special case", "they did me a favor"). Above it, chance no longer explains the sales.

Selling by hand in seven moves

Selling by hand breaks down into seven moves:

• Identify one specific person in your target.
• Reach out directly: by DM, by email, in person, at an event.
• Talk with them for an hour to understand their exact context.
• Present your solution tailored to their specific case.
• Help them set it up yourself, right next to them, or over screen share if you have to.
• Collect a first payment, even a symbolic one.
• Do it again.

For a ceramicist who sells mugs, these moves look like this. She picks out ten cafés in her neighborhood and visits each manager with two sample mugs. She asks how many mugs they break each month, offers a first batch that matches their tableware, delivers it herself and collects payment on the invoice.

None of these moves can be repeated a thousand times, and that is why they work at this stage. You learn what goes on in the buyer's head between "oh, interesting" and "OK, I'll take it". You'd never have gotten that information by blasting out 500 cold emails (emails to strangers).

Avoid inventing a system too early. A website with a checkout (an online payment page), a CRM (a file that tracks each prospect), an automated setup flow: those instincts suit a founder who has already sold a hundred times. When you haven't sold to anyone, those tools serve to hide you. The terminal open on the customer's laptop, Collison-style, is more uncomfortable, and that's why it works.

The three traps of moving into selling

As you move into selling, you'll run into three traps.

The widening trap. You start talking to prospects and you think "hmm, this profile could work too, and so could that one". You end up with a list of ten segments and zero customers. Stay on the target you chose in the pyramid. It has to serve you now, and you can change it later. You widen once you know how to sell to a specific segment.

Free. Someone tells you "give it to me, I'll give you feedback". It's tempting: part of you just wants to hear "yes". But a free user teaches you almost nothing about your product's value; they give you nice-person feedback. Offer a low-priced paid beta instead, or a deal like "you pay, and if you're not happy in two weeks, I'll refund you". Anything but free: without a payment, the person never makes the decision you care about.

The premature industrialization trap. You sell to two people, and you start coding a portal where customers sign up on their own, writing the pricing page, setting up an email tool like Mailchimp. Stop. All of that can wait until you've repeated the sale enough times to know what to industrialize. Otherwise you'll automate a process that never worked.

This week's exercise

Open a file and write these four lines:

Filled-in example, for a freelance accountant who specializes in physiotherapists:

• Precise target: physiotherapists in solo private practice, in a mid-sized town.
• Named list: ten physiotherapists in town, found through the online directory and through your own physio.
• Promise: "your books kept every month, without you filing a single receipt".
• Price v1: €90 a month, as an example.

If you can't fill in the named list, most often you haven't talked to enough people in your target yet. Go back to chapter 1, talk to ten more people, then come back here.

If you can't put a price down, put one down anyway. You can lower it or raise it later. Without a price, you're offering a free demo.

Before you move to section 2

This first shift into selling held up when three things are true at the same time:

1. At least a handful of people paid from their bank account.
2. When you describe your product to a stranger, you often see the same reaction.
3. When someone says "no", you can name the reason without making it up.

If all three are there, the question becomes: "how do I find ten more people like these, without starting from scratch every time?" The next section answers it.

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2. Choosing your motion (PLG, sales-led, community, outbound, inbound)

In this section, you will choose your motion: the way your customers discover you and then pay you. That choice decides where you'll spend your sales hours over the next few months.

Salesforce started in 1999 with a simple motion: an AE (account executive, a salesperson whose job is to sign customers) on the phone, a demo, a quote, a signature. Twenty-five years later, the company is worth hundreds of billions and still works roughly the same way. The ticket (the amount a customer pays) is big, the sales cycle is long, and the buyer wants to see someone across the table before signing.

Stripe started ten years later with the opposite motion. For a long time, the company had no salespeople: just docs, an SDK, and the ability for a developer to integrate the product in an hour from their couch. No quote, no call, no signature: a bank card, an API key (the access code for the service), and off you go. Stripe today is worth an amount comparable to Salesforce.

Both won with two opposite motions, because the motion follows from who buys from you.

The wrong question

You're going to ask yourself, legitimately: "what's my motion going to be: PLG, sales, community, outbound, inbound?" That question puts you in the position of an aesthete picking what they prefer, or a copycat imitating the motion of a company they admire.

Ask a more down-to-earth question instead: who pays me, how much, and how does that person decide?

Once you've answered it honestly, the motion almost falls out on its own: you read it in your answers.

The 5 base motions

You'll come across many names in books and blogs about growth. At your stage, five are enough.

1. Self-serve (Product-Led Growth, or PLG: growth driven by the product itself). The end user discovers your product, tries it and pays without ever talking to you. You have no salesperson. You have a page, a product simple enough to grasp in two minutes, and a checkout. Public examples: Notion, Loom, Calendly in their early days.

2. Sales-led (sales driven by salespeople). Inside a company, an identified buyer meets someone from your team. There's a demo, a conversation about the need, a quote, sometimes a negotiation, then a signature. The annual ticket justifies that human time. Public examples: Salesforce, Gong, many software products sold to large companies.

3. Community-led (growth through community). Your customers bring in other customers, because your product is more useful when several people use it, or because it circulates in a community of peers who recommend it to each other. You don't have to chase them: they invite themselves. Public examples: Figma (a designer opens a file with a colleague, the colleague creates an account), Discord (a server that adopts the tool brings in N new users), Notion via its ambassadors.

4. Outbound (outgoing prospecting). You go out and find cold prospects, meaning strangers, one by one: DM, email, LinkedIn, phone. You start from zero in every conversation. Choose this motion when your buyer doesn't know they have a problem, doesn't hang out online where you publish, and won't stumble onto your product by accident. Public examples: Outreach and Lemlist in their early days, before their inbound took off.

5. Inbound (incoming acquisition). You publish content: articles built for SEO (ranking in Google's regular search results), posts, talks. People who already have the problem come and find you. The relationship flips: they discover you by reading what you wrote. Public examples: Ahrefs (all their growth comes from SEO on SEO queries), HubSpot (the company that invented the word "inbound" fifteen years ago), and founders who put out a useful podcast and end up signing customers who had been listening for six months.

Three questions to read your motion

Ask yourself these three questions about the buyer you identified in chapter 1.

Question 1: can they buy on their own, without asking anyone?

Take a buyer who is also the user. If they can pull out a card or click "try for 14 days" without approval from a manager, a purchasing committee, or an IT department, you're a candidate for self-serve. If the purchase runs through an approval chain, forget self-serve: you need someone on your side to carry the deal.

Question 2: is your annual ticket light or heavy?

Light: your customer can pay without a pre-approved budget (typically a few hundred euros a year, sometimes a thousand). Heavy: they need a budget, a business case, maybe a formal tender. With a light ticket, aim for self-serve or community. With a heavy ticket, aim for sales-led or outbound. In between, you'll live a painful hybrid for a while, and that's normal.

Question 3: does your buyer already spend their day in a space you can reach without paying?

They may live on LinkedIn in a visible professional niche, in a Discord of peers, in identifiable Reddit forums, or at an annual conference that gathers their profession. In that case, you have ground for community or inbound. If they belong to no identifiable group (obscure role, small company, confidential problem), you'll do outbound.

These three questions eliminate the motions that have no chance of working for you. You usually end up with one, two or three candidates, and you pick one to start with (the method comes further down).

Stripe and Salesforce through the three questions

Stripe in 2010: the buyer is a developer or a technical founder. They can integrate an SDK without asking anyone (Q1 = yes). The ticket varies, but the entry point costs very little, a few cents per transaction (Q2 = light). And developers live on GitHub, Hacker News and tech Twitter (Q3 = yes). So Stripe did self-serve, community-led and a bit of technical inbound. When the enterprise ticket became heavy, the company added sales-led alongside, and only then.

Salesforce in 1999: the buyer is a head of sales equipping a team of twenty. They can't sign a six-figure contract without a meeting (Q1 = no). The annual ticket is heavy (Q2 = heavy). And those sales directors weren't hanging around on the internet in 1999 (Q3 = no). Result: 100% sales-led from day one, for lack of any other reasonable choice.

In both cases, the three answers dictated the motion.

The reasoning also works outside software. Take a caterer who delivers lunch trays to companies in her town. An office assistant at a small company can order alone for a meeting (Q1 = yes). One order is a small amount for the company (Q2 = light). But the town's office assistants don't gather in any identifiable group (Q3 = no). Her motion v1: outbound, calling the companies in the neighborhood and dropping off a tasting tray.

The double motion

You'll be tempted to launch two motions in parallel "to give yourself the best odds". At your stage, it's almost always a mistake.

Each motion has its own toolbox, its own vocabulary and its own rhythm. In sales-led, you work with a CRM, call scripts and a follow-up cycle. For self-serve, you need a polished landing page, guided onboarding inside the product, and a measured funnel (the visitor's path to payment, step by step). You grow a community with patience and shareable content. In inbound, you keep a publishing calendar. In outbound, you manage a list, message sequences, and rejection to digest.

You have neither the time, nor the attention, nor the money to run two motions seriously in your first year. If you launch two, you'll do half of each, and neither will reach the threshold where you know if it works. You'll have spent six months without reading a single clear signal.

One motion at a time, until you have ten paying customers through that channel. Only then do you consider the second.

Choosing between two candidate motions

If the three questions leave you with two plausible candidates (for example "it could be self-serve, it could be outbound"), pick the one with the shortest learning cycle: in four weeks, you'll know whether it works or not.

Outbound answers fast: after fifty DMs, you know whether you have zero replies or five meetings. Self-serve does too, provided you have a testable product: after twenty visits, you know whether anyone tries it. Sales-led takes three months minimum because of signature cycles. Inbound takes six months minimum, the time it takes your content to climb in Google's results.

At the first-10-customers stage, choose the motion that gives you signal fast. The theoretical ceiling five years out doesn't matter until you've proven the floor exists.

A common mistake: choosing inbound because writing posts feels less intimidating than writing to strangers. If your two candidates are inbound and outbound, start with outbound: you'll get your answer in a few weeks instead of six months.

This week's exercise

Take your precise target from chapter 1. Answer the three questions in writing, one sentence each.

Filled-in example, for an app that connects people who need clothing alterations with local seamstresses:

• Buy alone: yes, a person pays for an alteration without asking anyone.
• Ticket: light, the price of one alteration.
• Identifiable group: yes, neighborhood Facebook groups and parents' forums.
• Motion v1: community-led.
• Reason: neighbors already recommend good seamstresses to each other, and they already gather online.

If you can't answer a question, you haven't talked to your target enough yet. Go back to chapter 1 and redo five interviews focused on "how did you last buy a product similar to this one?". Then come back here.

Before you move to section 3

Your motion v1 holds when three things start happening repeatedly:

1. You describe your product to a stranger through your chosen channel, and you get the same kind of reaction several times in a row (interest, or the same objection).
2. You sign several customers through the same path.
3. You can say out loud: "I find my customers through X, it takes me Y hours per customer, and it works Z times out of 10."

When those three things are true, you have a motion. The next section covers price: knowing how to reach your customers is worth nothing until you've set what they pay in exchange.

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3. Setting your price v1, fast

In this section, you will set a first price, your pricing v1, in a few days. An imperfect price teaches you fast what your customers accept to pay; thinking it over for a long time costs you months.

Joel Gascoigne started Buffer in 2010. The tool scheduled Twitter posts: nothing revolutionary, it already existed elsewhere. Joel did something founders often put off at the start: he set a price within the week. Five dollars a month, a single plan, a checkout page in place. Someone paid. Six months later, he doubled the price, and nobody left. Today Buffer has published its revenue openly for years: several million a month. The lesson is in the move: Joel set a price early, held it, learned from it, then adjusted it.

You'll run into the opposite story a hundred times this year. The founder who's "still thinking about pricing", who wants to "see how it goes before putting a number on it", who launches "a free six-month beta to gather feedback". Six months later, they have thirty users who love it, zero who pay, and six lost months.

You decide a price v1 fast, and you refine it as you sell.

The damage free does

When someone pays, even badly, they move from "I'm looking" to "I'm deciding". You want to watch that shift, and without it you know nothing.

A free user sends you a false signal. They love it, they use it, they invite their colleagues, and they'd never pay: they have nothing at stake. The day you ask them for any effort (a password, two minutes of setup, a setting to change), they leave without a word. You conclude your product has a usage problem. The problem lies elsewhere: your product never had a price.

A wrong price, on the other hand, teaches you something. If it's too high, people grumble and you see which ones. If it's too low, you see what they buy without thinking, and you know you can go up. Either way, you learn in two weeks what six months of free would never have told you.

Three methods to set your price v1

None of them is "the right one". Pick one, put down a number, start selling.

Method A: copy the market. Find three to five tools or services your buyer already pays for to solve a problem close to yours. Note their prices and take the median (the middle value when you sort them in order): that's your floor for v1. This method is reassuring, because it calibrates you against an already-accepted norm. Its flaw: if your product creates more value than those tools, you'll undersell yourself. Use it when you're starting out and want to avoid a price that's wildly off.

Outside software, the method works the same way: a mobile bike repairer checks the price of a tune-up at three shops in the neighborhood.

Method B: value-based, out loud (a price based on the value your customer perceives). Ask five prospects in your target the same question: "if this saves you X hours a month (or Y euros, or Z critical errors), how much would you be willing to pay?" You'll get five very different numbers. Keep the one that comes up at least twice. This method is more precise, because it plugs you into the value your customers perceive. It requires that you've already talked to your target and can express your promise as a measurable gain.

Method C: "double it and watch." Set the price that feels a little too high and sell it as-is to ten people. If seven say yes without flinching, you were too low and you'll go up again. If none say yes, you were too high and you come down a notch. In between, you start reading your market. This method is uncomfortable, and it's the fastest to give you usable signal.

To choose, take whichever blocks you the least. The worst option is not choosing.

A single plan in v1

Packaging means how you split your offer into plans. Bronze, Silver, Gold: these three stacked plans are a classic reflex of subscription software. At your stage, that reflex is an anti-pattern, a habit that backfires on you. You don't have enough features or enough signal to build three coherent plans.

You'll paralyze your prospects, because comparing several options tires people more than it helps them choose. And above all, you'll scatter yourself across three personas (three typical customer profiles) instead of serving one with care.

Offer one plan, one price, one promise. If someone wants "the Enterprise plan", answer "call me" and do custom work by hand. Above all, no three-column pricing page while you haven't sold to anyone.

As a bonus, your site gets simpler, your promise clearer, and your sales conversations go twice as fast.

Prolonged free

A free beta that lasts more than two or three weeks puts you in debt. Your users get used to free and will grumble when you switch to paid. You'll end up arguing against people you yourself trained not to pay.

Two clean alternatives:

Symbolic paid beta. You set a deliberately low price. You judge the order of magnitude: the price should trigger the decision without killing the trial. That price is enough to separate the curious from the decided, and you collect your first real payment.

Money-back guarantee. You charge full price. If the person isn't happy within two weeks, you refund without argument. You get the purchase decision, so the signal, and the customer takes less risk.

Anything but free: without a payment, you don't get the signal you care about.

A price v1 you can revise

You can raise your price next week, or lower it in a month. Within six months, you can move from monthly to annual, then to usage-based pricing (the customer pays for what they consume). You commit to having a price; the number itself can move.

The one somewhat serious rule: hold your price for at least thirty conversations before touching it. Below that, you don't have enough signal to know whether you were too high or too low. You'd drop it at the first friction and learn nothing, except that hearing "no" is hard.

A common early mistake: announcing the price apologetically ("it's a launch price, we can discuss it"). The person understands they can negotiate, and you no longer know whether the price suited them. Say the number in a calm voice, then let the person react.

This week's exercise

Open a file and write:

Filled-in example, for a monthly tea box sold online:

• Price v1: €24 a month, as an example.
• Method: A, checked the prices of four competing tea boxes.
• Single plan: one box of three teas from small growers each month, "three new teas every month, picked for you".
• Review: after 30 conversations or 10 paying subscribers.

Set the price this week.

Before you move to section 4

Three things must be true at the same time:

1. You have a price set, written down, that you can say out loud in one second.
2. At least ten people have heard that price in a real conversation (a call, a meeting, a message exchange).
3. You know which ones paid and which ones said no, and you can name the reason for the no without making it up.

If the answer is yes to all three, you're ready to look for an acquisition channel (the place your customers come from) more systematically. That's the subject of the next section.

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4. Channel-market fit: test three channels, double down on the best one

In this section, you choose three acquisition channels to test, then you put everything on the one that works. An acquisition channel is the path by which your customers discover you: LinkedIn, a trade show, Google search, word of mouth. You have channel-market fit when one channel regularly brings you customers from your target.

Gabriel Weinberg, founder of DuckDuckGo, published a book in 2014 that became a classic: Traction. With Justin Mares, he lays out a list of nineteen possible acquisition channels for a startup. The list covers SEO, conferences, targeted ads, podcast sponsorships, viral, press and a dozen others. According to the two authors, a startup often fails for a simple reason. It picks a channel at random, tests it badly, and never knows whether it would have done better somewhere else.

The same trap is waiting for you. You've chosen your motion, meaning your main way of selling (previous chapter). You have your price and you know who you want to reach. What's left is to decide which way to go in. The worst strategy is to rush at the channel that feels "natural" without comparing it to the others.

The "natural" channel trap

A founder who comes from marketing will attack LinkedIn and inbound, because that's where they're comfortable. A developer will publish their code as open source and wait. A founder who loves to talk will push themselves to launch a podcast. Each finds in their personal history a reason to go where they already know how to go.

What you're looking for is the channel where your buyer spends time and listens. It rarely matches the one where you feel comfortable. A freelance graphic designer who targets the restaurants in her neighborhood will win more customers by dropping in on managers between services than by posting on LinkedIn, even with a thousand followers there.

At your stage, the right channel brings you one customer a week with an effort you can sustain. Follower counts and weak competition matter little. You find this channel by testing, never by imagining it from your desk.

The nineteen Traction channels, in plain terms

Weinberg and Mares drew up this list in 2014. It still applies, we've just modernized it a bit. For each channel, ask yourself: "Is my buyer here, and can I show up without paying a fortune?"

1. Viral word of mouth (each user brings in others)
2. Public relations, trade press
3. Unconventional PR (surprising stunts, memorable cases)
4. Search engine ads, or SEM (Google Ads, which reach people at the moment they search)
5. Social ads (Meta, LinkedIn, TikTok)
6. Banner ads on websites (display)
7. Offline ads (billboards, radio, print)
8. SEO: showing up in Google results without paying, thanks to your content
9. Content marketing (blog, podcast, video)
10. Email marketing (newsletter, a list of people who agreed to read you)
11. Engineering as marketing (a free tool, like an online calculator, that makes your brand known)
12. Niche blogs and online communities
13. Business development (partnerships with other companies)
14. Direct sales (by you, the founder, or by a salesperson)
15. Affiliate programs (partners earn a commission on each sale they bring you)
16. Existing platforms (App Store, marketplaces, integrations in other software)
17. Trade shows
18. Your own events (meetups, conferences)
19. Speaking engagements at existing conferences

Out of these nineteen channels, you pick three to test.

The Bullseye Framework, simplified version

Weinberg and Mares propose a simple device, the Bullseye (the center of a target). You draw it as three concentric rings.

Ring 1 (the center): "likely right now". Three channels where your buyer is probably present, where you can probably show up without a big budget, and where you believe conversion is plausible. You test these three channels seriously, six to eight weeks each. Run them in parallel if your means allow, otherwise one after the other.

Ring 2: "to try if nothing works". Three secondary channels that require more effort or more luck. You keep them in reserve.

Ring 3: "unlikely". The rest. You set them aside for now.

The classic mistake is putting five or six channels in the center because "they all look good". Keep three channels at most: on your own, you can't seriously track six bets at once.

How to test a channel seriously

Posting on LinkedIn once and concluding that "it doesn't work" doesn't count as a test. A serious test meets four conditions.

A clear promise. You write in one sentence what you expect from this channel: "X qualified conversations a week", "Y product trials a week", "Z discovery calls a month". Without that line, you won't be able to say whether the test worked.

A minimum volume. Thirty actions on the channel before judging: thirty direct messages, thirty posts if you're doing content, thirty conversations at a trade show. From thirty on, chance starts to weigh less than the quality of your approach.

A bounded duration. Six to eight weeks maximum per test. Beyond that, you're no longer testing: you're settling into a channel without having chosen it.

A stopping criterion. Before you start, you write: "If by the end of X weeks I have fewer than Y results, I move to the next channel." Without this sentence, you'll find a thousand reasons to keep going on a channel that gives you nothing.

Take an online candle shop testing makers' markets. Promise: fifteen sales per market. Volume: thirty conversations per stand. Duration: six weeks. Stopping criterion: fewer than ten sales per market after six weeks, and the shop moves to the next channel.

Doubling down when a channel starts to work

A channel gaining traction shows three signals:

1. You get repeatable results, beyond one isolated lucky break.
2. The cost per customer (in time or money) holds up against your price.
3. You feel you could do twice as much without wrecking your schedule.

If all three are there, stop the other two tests and put all your time on that one. Keeping your energy split three ways when one channel works is leaving money on the table.

The opposite trap comes next: you'll get bored of a channel that works and go chase something new. Hold on. Mine a channel that works for a year before you add a second.

Premature multi-channel

Once your main channel produces results, you'll want to "diversify the risk" by launching a second channel. At this stage, that's too soon.

A second channel doubles the tracking and splits your attention. You can't hold a serious cadence on two channels until the first has become second nature.

The rule: you add a second channel when the first runs without you, with a person in place, a written process or a tool that takes over.

This week's exercise

Take the list of nineteen channels. For each one, give a score from 0 to 3 on two criteria:

Channel score = A + B (0 to 6)

Example for a food photographer who works for restaurants:

• In-person visits to restaurant owners: A 3, B 3, score 6.
• Instagram, where restaurant owners follow their peers' accounts: A 3, B 2, score 5.
• Restaurant trade shows: A 3, B 1, score 4.
• Radio ads: A 1, B 0, score 1.

Keep the three highest-scoring channels. For each one, write your promise, your volume, your duration and your stopping criterion. Launch all three starting next week. Allow an hour to score the nineteen channels.

Before you move to section 5

Your channel is viable when:

1. It brings you one customer a week, no miracle needed.
2. You can name the cost (in hours or euros) of each customer acquired.
3. You can describe your process in five steps to a stranger without hesitating.

When these three conditions are met, you've started to industrialize the channel. Section 5 covers an often-neglected way of selling that deserves its own treatment: founder-led outbound, where you contact your prospects yourself, one by one.

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5. The "100 cold DMs" playbook: your founder-led outbound, by hand

In this section, you write to a hundred prospects yourself, one by one, with a short, personalized message. At the start, this method gets you your first conversations faster than any ad, and it teaches you what makes your target reply.

Before Airbnb was Airbnb, Brian Chesky sent personalized messages to every new host who signed up in New York. He used no automated email sequence and no marketing tool. He wrote them himself, at two in the morning, a different paragraph for each person. Half the hosts didn't reply, the other half did. Brian kept what made people reply, and he adjusted. Over the first three years, those manual messages grew the platform faster than any paid campaign.

Patrick Collison, around the same time, did much the same for Stripe. He wrote to founders of other YC startups to pitch them on integrating Stripe, back when nobody had heard of it. He sent a short email tailored to each recipient, with no sequence and no tool.

In B2B (selling to businesses), this is the most underrated channel of the early days. You go find your first prospects one by one, by hand. You should be able to send them your message without blushing, even if you ran into them the next day. It's called founder-led outbound: outbound means you go to the prospect, and founder-led means the founder does it personally. A cold DM is a private message sent to someone who doesn't know you yet. You send a hundred, and that small number leaves you time to take care over each one.

The method also works outside software. A maker of recycled packaging can write to a hundred cosmetics brands that sell online. An accountant starting out can write to a hundred tradespeople in their town.

The right number: a hundred

With too few messages, you have no reliable signal. You'll draw conclusions from three conversations and tell yourself stories.

With too many messages, you lose the quality. Past a hundred personalized DMs, you'll almost inevitably slide into copy-paste, a single template, mass mailing. You're then doing classic prospecting, with all its flaws. The reply rate drops, your recipients spot the template at first glance, and you damage your reputation on the channel.

A hundred is the test unit. You send a hundred, you observe, you learn. Then you decide what can be industrialized and what stays manual for the next hundred.

The three-beat script

A good cold DM fits in four lines at most. If your draft runs to ten lines, you haven't yet understood what you're selling. The script has three beats, plus a sign-off.

Beat 1: observation. One sentence that proves you took the trouble to read their profile, their site or their recent post. Avoid the empty compliment ("I admire your career"). Write a concrete observation ("I saw you talked to TechCrunch in March about your Berlin raise"). If you can't write this line for this specific person, they had no place on your list.

Beat 2: question. A short question about a problem you believe they have. Avoid "how are you" and "I'd love to chat for ten minutes". Ask something like "do you handle payments directly on Stripe or through a partner?". This question takes little effort to answer. And the answer tells you almost right away whether the person belongs to your target.

Beat 3: soft ask. A soft ask is a small request, easy to accept. Forget "let's book a call". Offer something light: "If you reply, I'll show you in five minutes a tool that might help you, no heavy demo." You're selling the idea of a next step.

Close with your first name, with no title like "Sales Manager at X" and no long corporate signature. You're a human talking to a human.

Example for the packaging maker: "I saw you're launching a line of solid soaps sold loose. What packaging do you ship them in today? If this speaks to you, I'll send you three compostable samples. Clara"

Choosing the channel, on par with the message

Depending on your target, channels differ in value.

LinkedIn DM. Good for identifiable B2B roles (founders, marketing, ops, sales, HR). Bad when your target barely uses LinkedIn (developers, very technical roles, some field jobs).

Twitter / X DM. Suited to tech founders, indie hackers (makers who launch small products on their own) and content creators. You need an active X profile, and your contact has to accept messages from people they don't follow.

Direct email. The most universal, but also the most crowded. You need reliable addresses, for example with Apollo, Hunter or Clay, to choose based on your budget and your target.

Community Discord / Slack. Excellent when your target lives in an identifiable topical community. Bad if you drop in without having contributed: you'll be read as a spammer in three seconds.

Direct phone. Underrated in 2026, especially for large contracts. A lot of people don't pick up anymore. The ones who do give you in eight minutes what an email would have taken three weeks to get.

In-person visit. For a local target (restaurants, shops, practices), dropping by at a quiet hour with a precise question is often the most direct route. The three-beat script applies as is, out loud.

Pick one main channel and two secondary channels, no more at this stage.

The GDPR framework, in two sentences

The GDPR is the European regulation that governs the use of personal data, including email addresses. For B2B messages, in France and Europe, cold email is legal under legitimate interest, on three conditions:

1. The recipient's role has a clear link to your offer.
2. Your message offers a simple way to refuse future messages (the opt-out).
3. You stop immediately if the person asks you not to write again.

The CNIL, the French data protection authority, has published its position on this. Check the text in force on its site before your first campaign.

For messages to individuals (B2C), it's the reverse: you need their consent before any message (the opt-in). At this stage you're probably not doing B2C cold DMs, but keep the rule in mind.

In practice, you include the opt-out, you honor removal requests and you keep a record of them.

Five common mistakes in a cold DM

The visible template. "Hi [FIRSTNAME], I hope this email finds you well" reads in two seconds as a copied template. Nobody replies.

The missing observation. You go straight to your product without proving you know who you're writing to. The recipient concludes they're one name on a list of a thousand.

The too-big ask. "Let's book a 30-minute call" asks a huge effort of someone who doesn't know you. Stick to a small request.

The disguised pitch. You ask a fake question you already know the answer to, just to lead into your product. People sense it, and they don't reply.

No follow-up. A brief follow-up ("just bumping my message") a week later often lifts the reply rate noticeably. Without it, you leave a good share of your signals on the table.

This week's exercise

Block an hour and a half tomorrow morning, and stick to that time. You're going to send thirty DMs.

If you can't find a different observation for each person, time has nothing to do with it: your target is still too broad. Go back to chapter 1.

A common mistake on the first try: spending forty minutes on the first five messages. Give yourself three minutes per person, observation included, and accept simple messages.

Before you move to section 6

Your founder-led outbound holds when:

1. Out of your hundred DMs, you have at least five to ten serious conversations.
2. In those conversations, you can name what moves a prospect from "interested" to "meeting".
3. You can write the DM that works for your target without thinking.

When these three conditions hold, you have a manual channel that brings in qualified prospects. Section 6 shows how to guide them through their first steps and how to learn from the ones who say no.

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6. Onboarding by hand and learning from the first no

In this section, you set up your product yourself for your first customers, and you question the ones who say no. These two habits show you what blocks, live, at the moment it blocks.

Patrick and John Collison, founders of Stripe, had a habit that still surprises people in 2026. When someone showed a bit of interest in Stripe, they didn't send a link to the docs. They asked for the person's laptop, opened the terminal and installed the SDK themselves (the technical kit that connects Stripe to the customer's website). They did it on the spot or over screen share. Paul Graham later dubbed it the "Collison installation". Today Stripe is worth hundreds of billions. Back then, the two brothers were simply installing their own product for their users.

You're going to do exactly that for your first ten customers. Onboarding a customer means guiding them through their first steps with your product. You install the product for them, you set up their account and you import their data. You fix the bugs that show up, then you set up their first real use with them. Your documentation can exist: you want to see what blocks at the moment it blocks, rather than read about it in a support ticket three weeks later.

Outside software, the principle stays the same. An office cleaning company does the first walkthrough with the client and notes what they check first. An online shop calls its first ten buyers after delivery.

This is called concierge onboarding: you guide each customer in person, like a hotel concierge, until the product runs for them.

Three reasons to onboard by hand

You see the blockers your product hides. Your interface feels obvious to you because you built it. Your customer runs into four buttons they don't understand and two words they barely know. They also stumble on a step that makes them click somewhere else first. Until you've seen it live, you won't know what to simplify.

You collect usable verbatims. A verbatim is a customer's exact words. During the install, they tell you: "Oh, I thought it would do X, but actually it's Y." You can reuse that sentence as is on your landing page (the page that presents your offer), your onboarding and your welcome email. You harvest ten of them in an hour of concierge work, and none reading an analytics dashboard.

You build a human link with your product. A customer who spent an hour on a video call with you setting up their account doesn't vanish without warning. If something breaks, they tell you, and they tell you when something works too. You build a direct line that serves you for months.

Industrialization will come later, in chapter 3.

The concierge onboarding ritual in four steps

In concierge mode, you follow a ritual, even a light one, instead of improvising an hour with your customer.

Step 1: the framing pre-call (15 min). Before the install, a short call checks that your customer clearly understands what they're going to do with your product. You ask three questions: "What do you want to have set up by the end of the session?", "What would make you say it's a success after two weeks?", "What could make you stop?".

Step 2: the install session (45-90 min). On a video call with screen share, you take the keyboard or you guide them. Do it with them rather than for them, unless the step is too technical. You note everything that snags. You welcome questions without getting defensive.

Step 3: the 2-week check-up (20 min). You come back to them about two weeks later with two questions: "Are you using it?" and "What stopped you from using it more?". If the answer to the first is no, you learn why. If it's yes, you learn what would get them to use it ten times more.

Step 4: the internal note. After each session, you write five lines: the customer and the date, what blocked, the usable verbatim, what you'd change in the product, what you'd change in the promise. You gather these notes in a single file, a spreadsheet or a Notion page for example. At ten customers, you'll see a pattern repeat.

The common mistake at this step: defending yourself when the customer criticizes the product. Write the criticism down word for word and ask a single question: "What were you expecting?"

The postmortem of the first no

You're going to lose prospects. Five out of ten at the start is normal. A postmortem is an analysis after the fact: here, you aim to learn from every no.

When someone tells you no, don't walk off with a shrug. Ask them three short questions, in this order.

Question 1: "At this stage, you'd rather not move forward. What's behind that?" The phrasing matters. Avoid "why are you refusing", which triggers defensive politeness. Avoid "what was missing" too, which gets you a list of features. With "what's behind that", the person often shares their emotional reason, almost always the one that decided the refusal.

Question 2: "If you had to move forward on this in three months, who would you talk to first?" Three answers come back. The person names a competitor: you learn who beats you. They say "I don't know": you learn that your prospects are still looking for how to solve their problem. They name a consultant or a manual method: you learn that your prospects still do this work by hand without seeing the point of a tool, and your job becomes explaining.

Question 3: "My offer might interest someone in a situation close to yours. Does anyone come to mind?" Asked after a no, this question will often get you a name. For many prospects, a no means "not for me, not now". Asking for a referral costs nothing.

Note the answers as the refusals come in. At ten nos, you'll see which reason comes back.

The four common refusal reasons

On your first refusals, you'll usually run into four reasons.

"It's too expensive." Often means: "I didn't see enough value to justify the price." If this reason keeps coming back, the problem lies in your demo: you show the value badly.

"We already do it in-house." Behind it there's often: "I don't see how your product does better than my current Excel." If this reason keeps coming back, your offer doesn't stand out enough from the way your prospects work today. For a caterer who delivers meal trays to offices, "we already do it in-house" often means "the assistant orders from the bakery downstairs".

"It's not the right time." The hidden meaning: "Nothing pushes me to act now, so I'll put it off." If this reason keeps coming back, you're contacting your buyers at the wrong moment in their cycle.

"We'll wait until it's more mature." In other words: "You're too young, I can't justify the risk." If this reason keeps coming back, you lack social proof: customer logos, testimonials, documented gains.

Each reason calls for a different action: rework the price or the demo, the timing of your contact, or the proof. You adjust where it pinches.

This week's exercise

On your next three prospect meetings, follow this ritual exactly:

Skip no step, least of all the internal note: you'll reread it at ten customers to spot the patterns.

Before you move to section 7

Your manual onboarding held up when:

1. You can say in two sentences what blocks your average customer at the start.
2. You can name the most frequent reason for a no.
3. You have a file of verbatims ready to use on your landing page or your product page.

When these three conditions are met, you have the raw material to turn your manual intuition into a system, the subject of chapter 3. Section 7 gives you the checklist to know whether you're there.

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7. The green light for chapter 3

In this section, you check with four signals that what you've built holds without you for a few days in a row. Depending on the result, you move to chapter 3 or you know which section to rework next week.

This section fits in a short checklist. At this stage, you've framed a problem, you sell by hand, you have a price and a channel, you know how to onboard and you listen to your nos. If the four signals are there, you can move to chapter 3 and industrialize what already works. If not, your next week has a clear program.

The checklist in four signals

Tick each line honestly: only if you can prove it to an outsider.

Signal 1: At least ten customers have paid. Ten customers who pulled out their card, signed a quote or sent a bank transfer. Promising prospects, enthusiastic free users and verbal commitments don't count. This threshold isn't magic, but below it you don't have enough repetitions to tell a pattern from an accident.

Signal 2: You can repeat your sale without making it up. You describe your product to a stranger in your target, and you often see the same reaction. You know which opening line works best and which objection comes back. You also know which argument tips an "interested" into "OK, I'll take it". If you still hesitate at every pitch and they're all different, you're still testing five hypotheses in parallel.

Signal 3: You know your channel and its cost. An acquisition channel brings you at least one customer a week without taking 80% of your time. Which one doesn't matter: outbound, inbound (customers come to you, through your content or word of mouth) or community-led (through a community you run). You know what each customer costs you, in hours or euros. You can say out loud: "I find my customers through X, it takes me Y, it works Z times out of 10."

Signal 4: You can name the reasons for a no. You've had refusals and you've named their reasons (too expensive, already done in-house, wrong time, not mature enough). You know which one comes back and which action it calls for: price, demo, timing or social proof. If you haven't had a single no, you haven't sold to enough people.

Concretely

If you've ticked all four boxes, you're out of survival mode. You'll keep grinding, but you have proof: a precise target pays for what you do, through a named channel, with a repeatable argument. From there, you industrialize what works.

Industrializing means turning your founder intuition into a system that runs without you in the conversation, without automating everything. You'll put up a sales page where visitors buy while you sleep. You'll launch a prospecting sequence that goes out without you writing each DM. You'll build an onboarding inside the product that the customer follows without you on a video call. That's the subject of chapter 3.

If one of the four boxes is still empty, you're not behind. The missing box tells you where to spend your next week.

An unticked box, what to do

If Signal 1 is missing (fewer than 10 paying customers): you have a sales problem. You haven't talked to enough people in your target. Go back to section 5, redo a hundred founder-led DMs, then come back here.

If Signal 2 is missing (non-repeatable sale): your target is probably still too broad. You're selling to three personas (three typical customer profiles) with three different pitches. Go back to chapter 1, choose one target and one only, and sell again to ten people with the same profile.

If Signal 3 is missing (no named channel): you're still testing too many channels in parallel, or you haven't put enough volume on a single one. Go back to section 4, choose a channel, do thirty actions on it and look at the result.

If Signal 4 is missing (unclear refusal reasons): either you haven't had enough refusals, so you haven't sold to enough people, or you didn't ask the three questions after each no. Go back to section 6 and apply the postmortem to your next three refusals.

The end-of-chapter exercise

Write on one page:

A fictional example, for a ceramicist who makes custom tableware for restaurants:

• Target: bistronomy restaurants in Lyon, seating 30 to 60.
• Promise: tableware that reflects the place, delivered in six weeks.
• Price v1: €38 per plate, 40 pieces minimum. Main channel: in-person visits between services.
• Volume: 11 paying restaurants, one new one a week. No reason #1: "too expensive", action in progress, bring samples in hand.
• Blocking me from chapter 3: nothing.

If "nothing" is honest, you start chapter 3 next week. Otherwise, go back to the section tied to your last line.

The transition to chapter 3

You've just done the more uncomfortable half of the work. Selling by hand, listening to nos, adjusting a price that felt crazy a month ago, getting by without a system: it's exhausting. You've already done the hardest part, since ten people have paid you. Many projects stop before their first paying customer.

Chapter 3 changes register: more structured, closer to classic marketing. You're going to decouple your sales from your time. It's necessary, but there's a trap. It's easy to hide behind tools and automations when you're afraid to talk to customers again. Keep one foot in the direct conversation, even as you industrialize. A founder who leaves the concierge stage and never comes back risks no longer knowing, one day, why their product worked.

See you at the start of chapter 3.

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CH2. You have your first 10 paying customers

You've moved past "validating a hypothesis": you've been paid ten times. You can name why your customers signed, what you told them, and how many hours it took you to find them.

This is the second hardest step in the founder journey. The first was accepting to search before building. This one asks you to face the moment you ask for money, without making a drama of it.

The end-of-chapter artifact

By the end of this chapter, you should be able to show:

• Ten customers who have paid at least once: ten transactions, ten invoices, ten payments received. Sign-ups and "very interested" people don't count.
• A clear motion: you can say "I find my customers through X", with one main channel.
• A price v1 set and defended. You can justify the number in two sentences, and you know what share of your prospects said yes.
• A concierge ritual: you onboarded your first ten customers by hand, you keep a notebook, and you know at what moment each one started using the product for real.
• A 4/4 ticked checklist: a motion that repeats, a defended price v1, documented onboarding, and the first signs of repetition (renewal, referral, upsell, meaning a customer who moves up to a bigger offer).

With these five boxes ticked, you have more than ten paying customers: you have a repeatable sales pattern. Chapter 3 starts from there.

The comfort of industrializing too early

You'll be tempted to industrialize too early. You'll want to write automations, hire an SDR (a salesperson whose job is to find and contact prospects), or plug in an automatic payment page like Stripe Checkout to "scale". At ten customers, automating pulls you away from the signal. You find it in the conversations you had yourself, in your first customers' sentences, in the blockers you saw on screen with them.

You're ready for chapter 3 when a new customer arrives every week through the same channel, without taking 80% of your time, and you can name the refusal reason that keeps coming back.

On to chapter 3

You're going to decouple your sales from your time. You stop making each sale by hand and build the page, the content and the prospecting that bring in customers while you do something else. You're going to tighten your ICP (the precise portrait of your ideal customer), write your positioning in three lines and build the page that sells.

You'll keep writing the content yourself, and the system will take over the selling.