being technical won't get you funded.

being commercial won't get you funded either.

the product is still early, you are still trying to verify the market, you’re probably pre-revenue or at early revenue with no predictable scaling model. how do investors know whether to invest in your startup? well, it’s not the product they evaluate, it’s you as a founder / a founding team:

1. the builder

usually engineers or product-first founders. they start the company because they discovered a pain worth solving - quite often from their personal experience. which is a great thing, btw.

strengths:

  • ships quickly and regularly - that’s the most enjoyable part
  • strong product intuition + believes that it’s faster to ship and validate than validate before shipping
  • high technical credibility - can build before hiring

weaknesses:

  • underestimates distribution - ‘ build it and they will come’ is a bit 2010
  • delays customer conversations to avoid an uncomfortable ‘well, that’s not really what I use daily’ 
  • assumes product wins by itself, allocates too little time and $$ budget for all things GTM

how to mitigate:

  • find a co-founder or plan to hire commercial partner / talent early
  • weekly / daily customer calls
  • a lot of GTM experiments from day 1 → build GTM discipline before scaling

2. the seller

sales, GTM and/or commercial founder.

strengths: 

  • gets customers early, sometimes before the product is built
  • finds and understands pain points
  • raises money well and recruits effectively when the time comes

weaknesses:

  • technical product debt as it’s not their sweet spot to work on
  • overpromising to close the deal (leads to product debt afterwards) 
  • fast scaling before true product-market fit

how to mitigate:

  • strong technical co-founder from day 1, no vibe-coding shenanigans 
  • ruthless product prioritization and time allocation 
  • metrics alongside storytelling - not vanity metrics like # of impressions, but real ones

3. the domain expert

“15+ years in healthcare” (climate, fintech, defense, manufacturing, and other specialized industries).

strengths:

  • deep first-hand customer insight 
  • industry credibility and strong network
  • knows hidden problems and probably had been trying to resolve them already

weaknesses:

  • too attached to industry norms - ‘we’ve always done it this way’
  • incremental thinking that leads to slow experimentation and therefore slow progress

how to mitigate:

  • hire outsiders to move faster than incumbents
  • validate assumptions early and actively try to disprove them 

4. the repeat founder

with successful exits in a similar business model / markets. 

strengths:

  • strong pattern recognition = steeper learning curve 
  • fundraising credibility if exited 
  • knows what matters in different business domains = achieves the results faster and more effectively than the first-time founder

weaknesses:

  • overconfidence without adjusting to market changes
  • assuming every company scales similarly

how to mitigate:

  • treat each market as completely new, each starting point as new as well (same market in 2020 and 2026 = different market)
  • stay close to customers, stay humble when listening to them 
  • question previous assumptions, try to actively disprove them 

5. the visionary

charismatic, futuristic, sells the idea of tomorrow and ‘this is what’s about to change’.

strengths:

  • inspires the team and attracts investors with their vision
  • sets ambitious direction even if it’s not on the map for most of people for now
  • thinks in decades

weaknesses:

  • weak operational execution, often weak structures (idea is there, but not the plan of how to get there)
  • constant pivots, as every new idea is shinier than the previous one 

how to mitigate:

  • exceptional operators around them
  • strong accountability, e.g. clear quarterly goals + aligned incentives to achieve them

6. the operator

meticulous, precise, and execution-focused. believes that anything can be achieved with a solid approach and effort. doesn’t rely on luck.

strengths:

  • reliable and consistent, process-oriented
  • excellent at scaling, spots the gaps instantly because of their precise attention 
  • financial, legal, compliance discipline

weaknesses:

  • conservative = misses breakout opportunities
  • optimizes too early, doesn’t leave room for accidental discovery

how to mitigate:

  • protect time for exploration, don’t see it as a waste + separate scaling from discovery
  • encourage calculated risk, allocate e.g. 5% of time and/or budget for it

7. the scientist / research founder

especially common in ai, healthtech, biotech, and deep tech.

strengths:

  • novel technology = defensible ip
  • a strong technical moat (not a lot left across the current markets)

weaknesses:

  • technology looking for a market, in other words, ‘I’ll find a problem for my solution’ or ‘everything is a nail for a man with a hammer’
  • academic pace = might be too slow to win over competition 
  • commercial side of building the startup is not their strongest part - has to learn to keep up

how to mitigate:

  • customer discovery and alignment from day one
  • commercial co-founder
  • market milestones alongside technical ones, with real milestones 

you read and it seems like a few categories are applicable to you? right you are. that’s because we people are quite complex creatures and you can’t put anyone into one of the 7 boxes - that’s a usual problem with any classifying attempt.

instead of trying to pick one category, pick a few that apply for your case, and use your strengths + mitigate the risks to get where you want to be.

and to give you a bit more food for thought, here’s a list of semi-serious patterns investors run from as if that were plague:

→ the know-it-all: never changes their mind despite evidence.

→ the storyteller without proof: excellent pitch, little execution, multiple pivots.

→ the lone wolf: refuses to delegate or hire people stronger than themselves.

→ the mercenary: chases whatever market is hot rather than solving a problem they deeply understand.

→ the victim: believes every failure is someone else's fault.

→ the ethical risk: misrepresents metrics, customers, technology, or financials.

many investors say they can work with almost any weakness except integrity issues, but then there are things that aren’t said out loud.