The early financial models for most founders are used as paperwork to launch their business, but they do not provide tools for survival. While a static spreadsheet may be useful for creating an initial budget, there are many factors that cannot be predicted using this method.
Through this analysis, a typical tech startup budget example will be broken down and replaced with a system driven by a runway. Real financial safety is obtained by regularly reviewing variance reports derived from actual results, rather than using projection-based financial numbers.
Why Standard Budget Examples Fail
The failure of a generic tech startup budget example explains why founders cannot rely upon them when launching a tech startup. The internet is littered with spreadsheets without substance, as well as broad cost-per-hire guides. The majority of these sites focus more on visually appealing formats than providing usable data.
Most will instruct a founder to take their projected costs and subtract them from their initial investment before arriving at their projected runway figure. There is nothing wrong with the concept of taking projected costs minus initial investment, and then using that figure to estimate possible dates of cash flow, but the reality is that investment does not equal revenue, and investments will not yield returns on investment.
The reality is that most businesses do not operate on clean, linear projected revenue graphs as are illustrated. Using the example above, a founder would see their projected start-up funding of $150,000 going through month 11 of their projected revenue, but they would be unable to account for events such as shifts in the market, delayed payments to vendors, or the accumulation of monthly subscriptions for new software and services.
The result is that founders who treat their budgets as static lists of guesses will live through the final moments or weeks of their business without realising that they have run out of money until the day they go bankrupt. Very quickly server costs can become equal to human payroll costs for AI-heavy products.
If a founder has a flat-rate estimate for their cloud hosting, they run the risk of losing a month's worth of runway in only a couple of days when there is a sudden influx of users.
The Monthly Check-In Is Missing
You must compare your budget to what you spend every 30 days to make it effective. To do this, you must sit down at the end of each month, look at the amount of cash that has gone out of your bank account, and compare it to what you had budgeted for that month.
Very few templates will tell a founder how to set a threshold for this review. If you go over budget by 2% on marketing, you may not think it is a big deal to you.
However, if you go over budget by 15% on payroll you will want to investigate immediately. If you don't do this monthly review, then your budget is just a guess. To actually build a functioning operating model you should start with the largest cost. For nearly every software business, this is human labor.
Put Employee Costs First
To have a realistic model you must account for more than just the base salary of an employee. You should also be including the fully loaded payroll of an employee. This is the amount of money spent on paying an employee.
It is calculated by adding taxes, health benefits, and all of the actual costs associated with the tools necessary for that employee to perform their job. For example, a seed-stage SaaS business may have a total monthly expenditure of $180,000, approximately $126,000 of which (70%) is attributable directly to payroll.
You should also account for the costs of the software that the employee will be using. According to available data, a company will typically spend between $400-$700 on tools for an employee each month.
Hence, if you are hiring 5 engineering employees, on top of paying them salaries, you are going to be paying for additional software licensing to the tune of thousands of dollars each month.
How Much Does It Cost to Manage Servers and Develop a New Product?
The development costs of any product are going to vary widely depending on what you are developing. The initial build of a product establishes the baseline cost for the ongoing maintenance of the product each month in your tech startup budget example.
Cost of developing an MVP for a SaaS application: Building the earliest version of a web application typically costs between $15,000 - $150,000.
Cost of developing a native mobile application: Developing a native mobile application requires a unique and more advanced skill set which generally results in the cost becoming anywhere from $30,000 - $250,000.
Cost of cloud services (host an application on the cloud): The average monthly spend on hosting with AWS generally ranges between $200 - $5,000 monthly when you are in the early stages of product development.
Cost of an AI product service: Many modern teams can stabilize their AI product service costs by using a flat-rate fee for their AI agent services (For example: pay a flat rate of $1,000 per month to use automated tools in technology to help you with finance).
Spending Rates by Startup Stage
A startup that is raising their first round of financing has many different financial metrics than a company that is scaling an already proven product. Therefore, you should align your budget with your current stage of fund raising according to reports from market data.
The burn rate for pre-seed companies typically ranges between $25,000 and $60,000 a month. At this stage, founders are testing product ideas and building the first working version of their product(s).
On average, Series A companies have significantly increased the amount of money they spend monthly. Most of them will spend upwards of $400,000 per month and can spend anywhere from $400,000 - $900,000 monthly.
Due to these large amounts of money spent, the metrics of CAC and LTV are critical to establish an effective strategy and justifying large amounts of money spent monthly.
The Rule for Keeping Extra Cash
No business plan survives contact with the market. You will incur additional expenses for legal services. It is taking longer to train new hires. You may be experiencing delayed monthly bookkeeping reports which creates an immediate as well as a longer-term cash flow gap in your business.
If you want your business to be successful, you must build a working model with an inbuilt buffer. Always add 5-10% as a contingency line item to your projected expenses.
For example, if you are projecting a burn rate of $100,000 for the upcoming month, build the model so that you are prepared to burn $110,000 for that month.
Final Thoughts on Managing Your Money
To ensure the financial health of your startup, you must manage your business with complete operational honesty. The way that you predict your revenue must not mask the reality of your cash outflow.
You will manage your cash outflow based on your headcount, and monthly audits of your cash outflow will dictate whether or not you are able to survive as a business.
By developing a realistic financial plan and a solid tech startup budget example, you can anticipate the exact capital requirements needed to maintain operational viability, given that at any time, your business may experience zero revenue.
By building a buffer in your fully loaded payroll expense, as well as tracking your actual bank activity against your planned limits, you will have the ability to forecast any cash flow shortfalls well before they occur.
Questions and Answers About Common Problems
How to Handle Changing Server Costs in Early Models
Cloud hosting services should not be predicted using a flat rate, for instance if your product is heavily reliant upon high volumes of data processing or AI generation then these costs should be modeled as variable costs directly related to user growth levels.
A company should run their worst-case scenario, i.e. when an uptick in user activity may be occurring while there is a low amount of working users making conversions.
In this scenario the company would be bankrupt within two months, therefore the company must adjust their infrastructure architecture or limit API usage before launching their company.
What Is the Leading Cause of Running Out of Money Suddenly?
A sudden runway failure is very often due to a lack of tracking the fully loaded cost of their employees.
Generally, the founders will have projected for the base salary, but will have not accounted for the recruitment fees, payroll taxes, hardware and $400 to $700 per month of paid software licenses that are paid for each new employee.
Each additional employee added to their business will compound the amount of investment into their bank accounts at a faster rate than what is budgeted in their spreadsheets.
How Does Late Accounting Destroy Cost Projections?
Cost projections are based on real-time reporting. Therefore, if a bookkeeper takes 45 days after the end of each month to close the books, the number of new hires will be based off of outdated bank account reports rather than an accurate tech startup budget example.
In a few months from now, one may believe that their runway is secured for 6 months; however, they did not factor in the automatically renewing subscriptions and increased advertising spend, and in reality, have only 4 months of runway.
When Should a New Team Make an Effort to Spend Less Money?
A team should take immediate cost reductions once it's clear that their key growth projections were not met as projected.
For example, if the budget assumes that the company will close 3 enterprise deals by the end of Q3 to fund Q4, and they are now stalled, the founders need to take action immediately, rather than waiting until all of the cash is expended.
Also monthly variance reviews will demonstrate that immediate hiring freezes and software audits must be implemented well before the signs of the final warning come through.