A startup is a company searching for a repeatable and scalable business model to solve a customer’s problem. It needs to establish what people will buy, how to sell and deliver it consistently, and whether it can serve many more customers at a cost the business can sustain. A conventional small business usually begins with a familiar model and concentrates on operating it successfully. The distinction is not simply age or size: a startup can also be a small business.
The phrase “business model” can sound more complicated than it is. It explains who the customer is, what they receive, what they pay, and what the company must do to provide it. A product is one part of that arrangement. Even an excellent product needs a workable way to reach customers, fulfil orders, and cover costs.
To see how those parts connect, imagine developing a divider that keeps food from moving around inside a lunchbox. This is a hypothetical example, but the questions it raises apply to much larger businesses.
Find out what the problem actually is
The idea begins with a squashed sandwich. An apple rolls across the lunchbox during the journey to school or work, pushing food out of place. A divider seems like a straightforward solution, but examining a few lunchboxes reveals different problems. Some owners need to separate food; others need to prevent leaks. Some boxes already have compartments, while others are too shallow for the proposed divider.
These differences matter because they determine whom the product can help. “Everyone who uses a lunchbox” is too broad a customer group. People whose boxes already work well have little reason to buy another piece of equipment. A more useful starting point is a group with a particular problem that the divider can reliably solve.
The founder also needs to understand what people currently do about it. They may use separate containers, wrap items differently, or accept the inconvenience. An alternative does not have to be another company’s product. Doing nothing is an alternative too, especially when changing a habit seems more troublesome than living with the problem.
This research helps define the product before substantial money goes into making it. If the main difficulty is leakage, a divider that merely keeps an apple in place will not satisfy the customer, however attractive its design.
Separate a working product from a working business
Suppose several people try the divider and find it useful. Their food stays separate, the product is easy to wash, and it fits their boxes. That establishes something about its performance, but leaves the business questions open. Would those users pay for it? Can it be produced consistently? How much does it cost to get one into a customer’s hands?
Different kinds of evidence answer different questions. A favourable comment shows approval, a purchase shows acceptance of an offer at a particular price, and continued use suggests that the product remains useful after the novelty wears off. None of these alone proves that the business can expand.
Steve Blank’s startup framework treats the early business model as a set of connected hypotheses about customers, pricing, distribution, and other operating requirements. For the divider, “families will pay ₹100” is a hypothesis. Actual purchases provide evidence, although the founder must still examine whether those purchases depend on special discounts, personal relationships, or conditions that cannot be repeated.
Build a process that can be repeated
The first few orders may require considerable personal effort. One buyer wants a special size, another needs help fitting the divider, and a third lives nearby, allowing the founder to deliver it personally. Those orders can teach the company what customers need, but their revenue should not hide the work involved.
A repeatable model uses a sales and delivery process the company understands and can apply again. Customers need not be identical, but their requirements must fit something the business can manage. Offering three standard sizes may be practical; measuring every lunchbox and creating a new design for each order produces a different kind of operation.
Custom work can be profitable. The important point is to recognise it and price it accordingly. A company that promises individual designs while charging as though every item comes from the same production line may underestimate its costs.
Repeatability also applies to finding customers. Selling to friends establishes that those people bought, not how strangers will discover and choose the product. The founder needs to learn which messages, shops, partnerships, or other channels reach suitable buyers, and how much effort each sale requires.
Work out what happens when demand increases
If each divider takes half an hour to make, two hundred orders require one hundred hours of production before packing or delivery. The product may be popular, but the current process has a capacity limit.
A mould could reduce production time, while a manufacturer could produce larger batches. Those options introduce other commitments: tooling costs, minimum orders, quality checks, storage, and money tied up in unsold stock. The founder must compare these requirements with credible demand rather than assume that producing more will lead to selling more.
This is the practical meaning of scalability. The business needs a way to handle substantially greater demand without its costs or workload making expansion impractical. Costs do not disappear; they change. A production method that works for twenty orders may be unsuitable for two thousand, while equipment intended for two thousand may be wasteful at twenty.
Software companies face an equivalent question. Copying the software may be inexpensive, but installation, computing, support, and sales can still require significant resources. Scalability belongs to the complete business model, not simply to the technology inside the product.
Check the economics of one sale
Consider these hypothetical costs for a divider sold at ₹100:
| Item | Amount |
|---|---|
| Materials and production | ₹45 |
| Packaging | ₹10 |
| Delivery | ₹25 |
| Amount remaining | ₹20 |
The remaining ₹20 is not automatically profit. It still needs to contribute towards expenses such as tools, storage, advertising, rejected products, and the founder’s work. If an order needs additional handling or a replacement, its contribution changes.
Examining the money earned and spent on one product, order, or customer is called unit economics. It helps the founder identify whether increased sales strengthen the business or repeat a loss. If delivery rises from ₹25 to ₹50 while everything else stays unchanged, the order loses ₹5 before the other expenses are considered.
Possible changes include adjusting the price, reducing production costs, or combining several items in one parcel. Each has consequences for customers. A larger pack may reduce delivery cost per item but be unattractive to someone who needs only one divider. The calculation and the customer’s behaviour must be examined together.
Growth introduces a cash problem as well
A business can have profitable orders and still struggle to pay its bills. The timing of receipts and payments matters, not just their final totals.
Suppose, again hypothetically, that a manufacturer requires ₹45,000 upfront to produce one thousand dividers. The company must find that money before selling the batch. It may also pay for packaging and storage while waiting for customers to purchase. An expected profit does not pay the supplier’s invoice today.
This is why founders need both an economic model and a cash plan. The economic model asks whether sales can cover costs. The cash plan asks whether the company has enough money available when those costs must be paid. Expansion can increase the gap between the two by requiring larger purchases before revenue arrives.
Outside investment can finance that gap or pay for development, but it does not establish demand. A startup does not need venture capital, technology, or an eventual acquisition to fit Paul Graham’s growth-based definition.
Understand how a small business differs
A conventional small business often starts with a transaction and delivery method that are already familiar. Its owner still needs to find customers, choose appropriate prices, and operate efficiently, but may not need to establish the basic model from the beginning.
A startup may be testing several parts at once. It might change the product after observing use, narrow its customer group, or discover that its original delivery method cannot support the intended price. Its early work includes deciding what the business should be, as well as trying to run it.
The founder’s growth objective matters too. Making custom dividers for a defined group could support a small, profitable operation. Developing a standard product for a much wider market requires enough demand and a way to reach and serve it. Graham’s explanation of startup growth emphasises both requirements.
These are not rigid categories. A small business can develop a new model and pursue expansion, while a startup founder can choose to build a smaller company. The useful distinction is the amount of uncertainty in the model and the scale the owner intends to achieve.
Move from testing the model to operating it
Early founders may personally recruit buyers, explain the product, and help customers use it. Graham describes this direct involvement in Do Things That Don’t Scale. Such work can reveal problems that would otherwise remain hidden, but the founder must distinguish temporary learning from a permanent delivery requirement.
If many customers struggle with the same fitting step, the company can investigate better instructions or a design change. If every customer needs a different solution, it must reconsider whether a standard product is appropriate. Neither finding should be concealed by a growing order count.
As the model becomes better established, the company can make decisions from operating records rather than guesses. It knows which customers buy, what it costs to reach them, what delivery requires, and how those costs change with volume. It can then judge whether expansion is affordable and whether its process can support it.
A startup’s search is not finished merely because the product works or sales begin. The stronger milestone is a business model whose important parts work together: customers receive something they value, the company can deliver it consistently, and the revenue supports the resources required to do so.
Adarsh is the founder and editor of Yeamt, where he breaks down AI, startups, funding, developer tools, and emerging technology into clear, practical explainers for founders, builders, and tech readers.