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The Markdown Testby@tcl
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The Markdown Test

by Taylor ClausonJanuary 15th, 2020
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As an investor, I am focused on what I think of as ‘technical tools’ That is, tools that either help developers build or deploy code, or tools that help pseudo-technical users do developer-like things. There are some edges for this where it’s hard to delineate what is/isn’t a tool for a technical user, especially in the collaboration space. The best heuristic I have come up with for tools that cater to these segments is what I have dubbed 'the Markdown test'

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As an investor, I am focused on what I think of as ‘technical tools.’ That is, tools that either help developers build or deploy code, or tools that help pseudo-technical users do developer-like things. There are some edges for this where it’s hard to delineate what is/isn’t a tool for a technical user, especially in the collaboration space. In fact, much of my thinking here stems from the question, “so does this include stuff like Slack?,” which comes up a surprising amount in conversation.

I have been working on a simple test to better define the edges of this thesis… To start, let’s put the world of users into some discrete buckets, ranging from obviously technical to less technical:

  • Developers - people who write code for a living
  • Code literate - people who don’t write code for a living, but understand what’s involved
  • Code aware - people who can wrangle a good spreadsheet, but are unlikely have never opened a text editor besides Word (this is the bucket that I have the most trouble with, so any thoughts are welcome!)
  • Obviously nontechnical - a large catch-all bucket for the widest part of the distribution, people who have a very limited technical understanding

    Using the visualization above as a mental model, I’d say that I am targeting products that cater to the inner two circles: people who write code for a living (self-explanatory) and those who are code-literate, are part of some software development processes, but don’t write code for a living (product managers, some project managers, some business analyst types).

    The best heuristic I have come up with for tools that cater to these segments is what I have dubbed ‘the Markdown test’ and it’s very simple: does this product support Markdown input?

    It feels like a pretty good marker; I don’t know anyone with zero technical chops that knows Markdown, but it’s also not so abstruse as to exclude those pseudo-technical users that are part of the design/build/deploy process.

    Hilariously enough, using Slack as a case study even provides a recent example of what happens when you start out with Markdown support and pull it in favor of a WYSIWYG input:

    In summary: a revolt that led to Slack walking back the changes.

    I’m not suggesting that developers or technical people universally love Slack, or really even Markdown. It’s just the simplest heuristic I have managed. So, for now, the edge of this thesis on technical tools covers collaboration tools as long as they support Markdown. Please reach out and help refine my thinking!

    A possible alternative

    Another vein I have explored was along the lines of what integrations a tool has. For example, was it designed with integrations to(git workflows, Jira, Segment, etc)? The problem with this logic is that it’s self-referential… the tools in the integration set have to be defined as to whether they are technical tools.