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Malte Kramer says his real-estate technology company broke five familiar startup rules: it did not maximize its fundraising valuation or raise as much as possible, did not require a technical co-founder, did not ship at the expense of product quality, and entered the market through high-end customers rather than the low end. His account is a useful case study in questioning startup advice—not evidence that doing the opposite is a generally better formula.
In an Entrepreneur article published October 2, 2026, Kramer, CEO of Luxury Presence, describes building software and services for real-estate agents in a crowded market that he believed lacked a clear winner. He says his company concentrated first on the top 1% of agents and bootstrapped to $1 million in revenue before raising capital. The revenue figure is Kramer’s own report in that article; it is not independently verified there.
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The five choices below are his account of decisions made for his company and market. They do not establish that other founders will get better results by copying them. Their broader value is as prompts to examine the assumptions underneath a rule.
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1. Don’t treat the highest available valuation as automatically best
Kramer says his company chose valuations and partners it considered workable instead of pursuing the highest valuation it could obtain. A high valuation may sound like an unqualified win, but it can mean giving up less ownership in a given raise while also setting a higher bar for the company’s next financing and growth expectations. The relevant trade-off depends on the terms, the company’s prospects, and the founders’ priorities—not the headline valuation alone.
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His account does not provide a specific valuation or deal terms, so it cannot show how much dilution the company avoided or compare its terms with other offers. The practical question for a founder is whether a proposed valuation and its associated expectations fit the plan, rather than whether the number is the maximum obtainable.
2. Raise for the next milestone, not simply the largest possible round
Kramer says the company raised what it needed to reach its next milestone, with a buffer. This approach ties the amount sought to a defined use of funds and the next meaningful proof point, rather than treating a larger round as inherently safer.
That choice involves a real planning judgment: too little capital can leave a company short of the milestone, while raising more can increase dilution and the pressure to support a larger growth plan. Kramer does not disclose the amount raised, the size of the buffer, or the milestone in the account summarized here. His example therefore supports milestone-based planning as a question to consider, not a specific fundraising target.
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Kramer says he was a solo founder who hired engineers rather than making a technical co-founder a prerequisite. The distinction matters: his argument is against a particular founding-team structure, not against the need for technical capability. His account presents engineering hires as the way the company obtained the expertise it needed.
Whether to recruit a technical co-founder or hire a team depends on the product, the founders’ skills, the company’s resources, and how central technical decisions are to its direction. Kramer’s experience does not establish that either structure is superior in general; it shows that “you need a technical co-founder” is not the same claim as “you need strong technical talent.”
4. Move quickly without making customers absorb the cost of broken releases
Kramer challenges “move fast and break things” as a blanket instruction. In his view, speed alone is not useful if a product is poorly designed, inadequately tested, or fails to solve the customer’s problem. He places particular emphasis on trust in real estate, where a faulty or frustrating product can undermine the service experience.
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This is not an argument for delaying every release until a product is perfect. It is a reminder to weigh iteration speed against the consequences of failure for the customer and the business. The acceptable level of risk depends on what the product does, how customers rely on it, and how quickly problems can be detected and corrected.
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Rather than begin with the lowest-priced or simplest segment, Kramer says his company first served high-end real-estate agents with premium software and service. He says those customers brought product knowledge, reputation, and references that helped the company expand further into the market.
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This strategy depends on being able to deliver an offering that high-end buyers value and on learning from those customers in ways that translate to a broader market. It is not proof that premium-first is better than entering at the low end: the right starting segment depends on the product, the market, the company’s capacity, and the customers it can reach.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.How to decide whether a startup rule fits your company
Kramer’s advice is to investigate why a rule exists and whether the conditions behind it apply to your business, market, and customers. He puts it this way: “A better habit is to treat advice as a prompt for questions rather than a directive.”
- Ask what problem the rule addresses. A recommendation may be a response to a particular market, product risk, funding environment, or stage of growth.
- Identify the conditions behind it. Work out what had to be true for the advice to help the company that followed it.
- Check whether those conditions match your situation. Consider your customers, product, team, available resources, and the risks of getting the decision wrong.
- Talk to founders with relevant experience. Ask why they made a choice and what circumstances shaped it, rather than copying the choice in isolation.
- Make the decision against your own milestones. State what outcome you need, what trade-offs you accept, and what evidence would prompt you to change course.
Kramer’s five examples are a founder’s account, not a comparative study of startup outcomes. They are most useful as a reminder that a rule can be sensible under one set of conditions and a poor fit under another.
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