Startups
When Should an AI SaaS Charge Per Seat, Usage or Outcome?
Pricing should match what customers perceive as value: people using the system, resources consumed, or a business outcome completed.
Section
Explore original reporting, analysis, product stories, and practical insights about indie founders for founders, developers, and independent builders.
20 stories
Stories and field notes
Startups
Pricing should match what customers perceive as value: people using the system, resources consumed, or a business outcome completed.
Startups
Model pricing is only one line in AI SaaS economics. Calculate the cost of a successful workflow including retries, retrieval, runtime, and human cleanup.
Startups
An AI SaaS should start with a repeated customer job, not a model feature. Use workflow frequency, pain, data access, and measurable outcomes to decide what to build.
Product & SaaS
A dashboard becomes useful when it helps a founder decide what deserves attention today. The trick is to organize metrics around decisions, not around every number the product can collect.
Startups
You do not need twenty interviews to learn what a handful of customers already repeat. A lightweight interview loop can expose the language, friction, and workarounds that deserve product attention.
Founder Stories
A new repo feels like progress. It is often a way to leave the hard part of the first product unfinished.
AI
AI coding agents can compress implementation time, but production quality still needs an explicit engineering loop.
Growth & Marketing
The first 100 customers usually come from a repeatable founder-led system, not a giant marketing budget.
AI
OpenAI’s September 29 DevDay points to a new product direction for indie software.
AI
The practical AI stack for research, coding, product work, content, and automation when you are building with a small team.