Hi fellows!
I have a great convo with @aryan_sinh about the fine tuning of ideas in early stage and I think the community can benefit from it.
Markdown becoming the working format between people and AI tools.
A lot of AI-generated content starts as messy markdown, then needs to become something shareable: a doc, brief, PDF, client note, internal spec, or Google Doc. That workflow is still awkward because most tools either treat Markdown as developer text or as a static publishing format.
With mdtidy.com we solve this problem but noticed that there are plenty of other issues we can help with - so... how would you tackle this branding wise?
I would brand around the output people are trying to send, not markdown itself.
Messy AI draft → shareable doc.
That is easier for a buyer to feel than markdown formatter. Then markdown can stay in the mechanic layer, where technical people still recognize what is happening.
The tension you're describing is real and the answer usually depends on where your user is when they find you. Spot solution positioning wins on intent — someone searching "convert markdown to PDF" has a specific task right now and is a hot lead. Workflow solution positioning wins on expansion — once they use you for one thing, you have a natural reason to offer them more.
Most products start as spot solutions and try to grow into workflow tools. The risk is making that transition without confusing the users who found you for a very specific reason.
My take: start with the most specific high-intent use case you can clearly articulate — probably the markdown-to-shareable-doc gap since that's genuinely underserved — and nail that positioning first. The workflow story becomes easier to tell once you have 100 users who came for that exact thing and you can see what else they're actually doing with it.
What's the most common single task people tell you they signed up for?
I usually start with a spot solution.
It's easier to validate a very specific problem than to build a complete workflow from day one.
Have you already identified a particular pain point you're trying to solve?
I’d sell the workflow, not the format. When I shipped content tooling, people understood the wedge faster when I could place it next to adjacent jobs: mdtidy for cleanup, Notion/Docs for collaboration, PostPilot for turning one source idea into channel-ready distribution later. The part buyers care about is "I got messy AI output and now I need something client-safe". imo your homepage can stay narrow on markdown first, but the category line should describe the before/after outcome, not the file type. Have you noticed stronger pull from agencies, founders, or internal ops people yet?
re-routing your technical infrastructure to solve real administrative headaches for corporate clients or non-tech creators is where the actual validation happens. they want to buy outcomes, not spend their nights debugging repositories.
I’d frame this less as “Markdown cleanup” and more as the last-mile workflow for AI-generated work.
The bigger problem is not that Markdown is messy. It is that AI gives people semi-structured output, but the next step is usually something human-facing: a client note, internal doc, PDF, brief, spec, or Google Doc.
So mdtidy can either stay a spot tool: “clean and format Markdown.”
Or it can become a workflow product: “turn AI-generated drafts into polished, shareable work assets.”
That second frame gives you more room to expand beyond formatting without confusing people.
If you want, I can turn this into a small written positioning breakdown for mdtidy: category frame, homepage angle, use cases, and the cleanest way to explain the product without making it feel like a developer utility.
The spot-vs-workflow split is exactly the positioning trap for utility apps. With Kinetic Override, “auto clicker” gets attention, but the real value is recording a repeatable Android tap/swipe workflow locally without root, then adjusting timing until it feels reliable.