50 posts
Questions, answered plainly
One question per post, answered in the first two sentences, from 9 years of building small products alone.
13 posts
Building and launching alone
Choosing, building, charging for and launching a small software product on your own.
- How do you handle support for a SaaS on your own?
Answer in a slot, not all day, and read the questions for the feature they're asking for. Repeated questions are the best product research you'll get.
- How do you pre-sell software before you build it?
Ask named people for money for a thing that doesn't exist yet, with a date and a full refund if you miss it. Then open the payment account first, not last.
- How do you validate a micro SaaS idea before building it?
Run it through 7 questions in an hour, then ask 10 named people for money before you write any code. If nobody pays, you've saved a month.
- How does a developer find a niche they can sell to?
Look for a room you've already been sitting in. The best niche is a group whose problems you've watched for years and who'd notice if you stopped posting.
- How long should a solo MVP take to build?
7 days. If the smallest version that someone would pay for takes longer than a week, the idea is too big for one person to test.
- Should a new SaaS charge from the first day?
Yes. Free users prove that people like free things. A price on day one tells you in a week what a free tier hides for a year.
- What can AI agents do in a one-person business?
Labour you can check, such as reading, sorting and drafting. Not judgement. Hand an agent the decisions and it returns the average of everybody else's.
- What does a weekly routine for a solo SaaS look like?
One named slot per product, the same pages in the same order, and a line in the file each time. Mine is 2 hours on a Sunday for the biggest product.
- What is a kill rule for a side project?
A metric, a number, a date and an action, written before launch while you're still hopeful. It lets you stop a product calmly instead of watching it fade.
- What is the right order to launch a small product?
Warm to cold. The room where people know your name goes first, on day one, with your best post. Strangers come after, once they can see somebody cared.
- What should you ask before building a software product?
7 questions, in an hour, before any code. They came out of 25 dead products, and most of those deaths needed no new question.
- What should you do in the quiet month after a launch?
Talk to the people who signed up. Rewriting the landing page, adding features and relaunching are what everybody does instead, and none of them works.
- What tech stack should a solo founder use?
The dullest one you already know, written on one card and changed only in January. A new product should never also be a new stack.
13 posts
Why small products die
What killed 25 small software products, and the rule each death left behind.
- Can one person build a two-sided marketplace?
Only if you already have the crowd. A marketplace is empty until it's crowded, and every time I filled one side, the other side emptied.
- Do free users prove a SaaS idea works?
No. Free users prove that people like free things. My shared shopping list had more users than anything I've built, and almost all of them left the month it asked for money.
- How do you know when to shut down a side project?
Write the kill date while you're still hopeful, before launch. I kept a driving instructors' tool alive for 36 months after I knew it was dead.
- How do you write a post-mortem for a dead product?
20 minutes, the week it dies, on one card. What it was, who it was for, what actually killed it, and the rule it leaves you. The version written 6 months later is a story about yourself.
- Is a store listing enough to launch a product?
No. A store is a shelf. It puts your product in front of people searching for something with a similar name, and it never walks anyone over to it.
- Is it safe to build for people you know?
Only if you're genuinely one of them. I spent 3 weeks beside a builder and a decorator, called myself inside the trade, and built on 2 yeses. Nobody else ever heard of it.
- Is one paying customer enough to build on?
No. One yes is one person's problem. My bookkeeping tool paid for itself, exactly, with one customer for 5 months, until he changed jobs.
- What do you do when a platform ships your feature for free?
Close it cleanly and quickly. I found out from a Tuesday changelog, gave 6 weeks' notice, refunded the month and wrote a guide to moving across.
- What if your product is used twice a year?
Then a monthly price will bleed it. Match the shape of the payment to the shape of the value. My stock-take planner's value arrived twice a year; the charge arrived 12 times.
- Why do good products die without anyone noticing?
Because they're launched to the wrong people, once. A launch is a morning; distribution is every week after it, in the place your customers already talk.
- Why do micro SaaS products fail?
Mostly because nobody who has the problem ever hears about them, or because the people who do hear don't want them enough to pay. 23 of my 25 dead products died one of those 2 ways.
- Why does building "for freelancers" fail?
Because "freelancers" is a contract, and nobody gathers under it. You can't email it, find where it complains, or notice when 3 of them say the same thing.
- Will charities and community groups pay for software?
Many do. They already pay for insurance, hall hire and the van. I gave a volunteer rota away for 9 months on a belief I never checked, and the support queue grew with every group.
13 posts
Pricing and running AI products
What a product with a model inside it costs, how to price it, and how to keep the bill under the price.
- Flat, usage-based or allowance pricing for an AI product?
An allowance. Set it at the heaviest sensible month, with a charge above it that pays. Customers can predict their bill, and nobody can cost you a fortune.
- How do retries affect AI costs?
A failure retried 3 times costs 4 times. Cap the attempts on every item, never retry a bad input, retry a wrong answer once at most, and read the pile every week.
- How do you cut LLM costs without making the product worse?
Move every job you can write as a rule into ordinary code first. 2 of my document product's 5 model calls were doing arithmetic and date checks. Moving them roughly halved the model spend.
- How do you price an AI SaaS?
Measure what one unit of work costs on real inputs, multiply by your heaviest sensible customer's month, and keep that under a tenth of the price.
- How do you raise prices without losing existing customers?
Raise it for new customers first, and tell existing ones in a proper letter with the reason. Never shrink the product quietly instead.
- How do you stop a surprise AI bill?
A hard cap on every key, watched until it fires, and a daily ceiling in your own code that stops, holds the work and tells you. Set the ceiling from the shape of the month.
- How do you work out what an AI feature costs per customer?
Run 30 real inputs through the model before you build, then read a page every week listing what each customer cost you. One row many times the others is either keen or broken.
- Should an AI product have a free tier?
No. A free tier on anything with a meter reads documents for people who haven't paid, every month, with no price to divide by. Show saved examples, run a sample by hand, or promise the money back.
- Should you call the model live or queue the work?
Queue it. Put the work in a queue, check it, store it, then tell the customer. Call the model live only when somebody is genuinely waiting.
- What do you do when your AI model is retired?
Rerun your own past work on the new model before any customer meets it. One door in the code, 3 months of stored inputs and a second option you know make it a Sunday job.
- What does a wrong AI answer really cost?
The model fee is a fraction of a penny. The real cost is your evening, an apology, and a customer's trust that the product says true things. Right, then cheap, then fast.
- What should you never hand to an AI model?
The judgement. Give the model labour you can check, and keep the price, who it's for, what you say when it goes wrong, and what to switch off.
- When is a cheaper AI model good enough?
When it agrees with the strong model on your own past work and its failures are the kind your check catches. Test it on 50 real inputs, read every disagreement, then route.
11 posts
Running more than one product
When to start the next product, where it comes from, and when to grow, hand over or close.
- How do you keep small products from being forgotten?
Give them one shared weekly page: what changed, what's waiting, and a line for every fault that once reached a customer. A dashboard only shows what you thought to put on it.
- How do you review a portfolio of small products once a year?
One sheet of paper in January. Every product down the side, with its slot, its year in a line, and one word: keep, grow, hand over or close.
- How do you run several products without several times the work?
Build every product on the same machinery, so a new one only adds the part that's new. My first rebuild drill took 6 hours and 20 minutes and found 3 things that lived only in my head.
- How do you shut down a SaaS properly?
One email with the reason, the date, a full refund for the current month and an export you've tested yourself. Then one line at the end, for anybody curious about what's next.
- How many products can one person run?
As many as you have named slots in your week. I run 5 in about 3 evenings, and I've stopped there, because a sixth would need a slot I don't have.
- Should you grow your first product or build a second?
If anybody paying you is asking for something you haven't built, build that first. 3 landlords asked for the same thing in one month; it took an afternoon and became the best feature the tool has.
- What do you do with a working product you no longer care about?
Look for somebody who cares about its customers more than you do, and hand it over properly. I closed a working fees tracker for language schools, and its customers went back to paper.
- What happens to a one-person SaaS if you're ill?
Mine ran for 2 weeks of flu with nobody looking, mostly by luck. Now each product has one page, written while I'm well, saying where it lives, what runs, what needs a person and what to tell customers.
- What should you check before buying a micro SaaS?
6 things: the inbox, the price, the stack, the dependencies, the customers and the slot. I walked away from a dog walkers' booking tool that failed several of them at once.
- When should you start a second product?
When the newest paying one has settled: it fits a slot you could name, it hasn't needed you outside that slot for a month, and its questions have become repeats.
- Where do good second product ideas come from?
From your cancellation replies. Read them all in one sitting, on paper, for the sentence that goes past the question. The same paragraph from 3 strangers is a product.
About the blog
- Who writes these posts?
- Cal Renshaw, the author of the Ship Alone books. Each post answers one question from one of the four books, in a few minutes' reading.
- Are the numbers in the posts real?
- Where a post needs numbers to show the shape of a sum, they are worked examples and say so. The books publish no revenue, user or growth figure for any product.
- Where should I start?
- With the question you have today. The posts are grouped by the four books: building and launching, why products die, pricing and AI costs, and running more than one product.