I’m pricing IssueToPR.dev at $1/month, even though I believe it’s worth $500/month. Let me explain.

AI Is Reshaping SaaS Pricing

AI tools like LLMs are slashing software development costs—think 30% less time per feature. This shifts the build-vs.-buy math: many businesses now build in-house. But SaaS isn’t dead. Dedicated providers like us fix bugs and iterate faster than internal teams juggling maintenance. Good software still has value—pricing just needs a reboot.

The Token Cost Challenge

AI-powered SaaS comes with new costs: LLM tokens. For IssueToPR.dev, these might run $5–$20 per repo monthly, depending on usage. Many AI tools peg $20/month mimicking OpenAI, but we’re rethinking that. Token costs force us to balance affordability with sustainability.

A Market-Driven Price with a Safety Net

To find the sweet spot, I’m testing a dynamic pricing model:

• Start at $1/month for the first 5 licenses.
• Price jumps per Fibonacci step ($1, $1, $2, $3, $5…) as licenses sell out.
• If the price ever drops (say, due to lower demand), we’ll automatically adjust your subscription to the new, lower rate for future billing cycles—so if you bought at a higher price, you won’t regret it when prices decrease.

This approach caps supply, letting me focus on early users’ needs while demand sets the price. (Users add their own OpenAI API key for now—bundled fees come later.)

The $500 Value

IssueToPR.dev auto-resolves GitHub issues, saving serious time. A $10k/month developer might fix 20 issues monthly—$500 each. For engineering teams, that’s thousands in value. At $1, it’s a steal while we refine the model. (Worried about security? We encrypt GitHub data end-to-end.)

Try It Out

For developers, managers, or teams tired of issue backlogs, IssueToPR.dev is live. Grab a $1 license—or join the waitlist if we’re sold out.