Startup Anti-Patterns
An anti-pattern is a commonly used process, structure, or pattern of action that, despite initially appearing to be an appropriate and effective response to a problem, has more bad consequences than good ones.
An anti-pattern is a commonly used process, structure, or pattern of action that, despite initially appearing to be an appropriate and effective response to a problem, has more bad consequences than good ones.
Simeon Simeonov first wrote an introduction to the value of startup anti-patterns back in 2013. To sum it up, it’s hard to pinpoint the exact set of reasons startups succeed, but experienced entrepreneurs and investors have a good sense of what drives startups’ failures.
Startup anti-patterns are all about that — patterns that increase the risks associated with startups (hey, it’s a risky business to begin with). Pursuing an anti-pattern doesn’t mean that your company will die tomorrow or in the next year, but each anti-pattern adds-up and could lead to clouding your focus and hampering your ability to execute.
Together with Itamar Novick from Recursive Ventures, Simeon Simeonov is bringing the Startup anti-pattern series to life. Stay tuned for more in this series as we work through each anti-pattern with tangible examples from our experiences as founders and investors in 100+ startups, and the experiences of guest founders from our portfolio.
Startup Anti-Patterns full list (work in progress…)
Elephant hunting
Ignorance
Platform risk
If you build it, they will come
Bad revenue
Chasing the competition
Chasing Blue Oceans
Analysis paralysis
(Founder) Arrogance
Boiling the ocean
Bridge to nowhere
Design by committee
Confirmation bias
Bleeding on the edge
Attribution risk
Changing strategy instead of execution
Confusing activity with results
Consulting to product
Death by pivot
Deathmarch
Delayed scaling
Demand generation
Designing for investors
Drag
Escalation of commitment
Escape to the familiar
Escapism
Featuritis
Forward thinking
Founderitis
Groupthink
Hail Mary
Ivory tower
Lack of focus
Lagging indicators
Learned helplessness
Long feedback cycles
Lying to investors
Magic salesperson
Mentor whiplash
Missing your exit
Myopic bootstrapping
Next round only
Not knowing your investors
One-off customization
Oooh, shiny!
Overengineering
Overselling
Oversteering
Platform trap
Premature optimization
Premature scaling
Promiscuity
Proof by anecdote
Pushing a rope
Raising too little
Random founders
Scapegoat
Second class citizens
Seed extensions
Secrecy
Silver bullet
Spreadsheet Bingo
Stovepipes
The one idea entrepreneur
Top-down planning
Uber pivot
Underqualifying
Unicorn hunting
Unrealistic expectations
Warm bodies
Weak board
Yes man
Zombie
Outsourcing your architecture (via Alan Neveu)
Note: the list is not “drawn to scale.” Some anti-patterns occur more frequently than others and some are more likely to cause a startup to fail than others.