If you use AI dev tools daily, you ve probably felt this:

You start a new session and immediately have to re-explain:

• what the project is

• what you already tried

• why certain decisions exist

• what not to repeat

Not because the AI is bad.
Because the workflow forgets.

Hey everyone,

I've built my product around traditional SaaS pricing (monthly tiers), but I m starting to wonder if that model is getting outdated, especially with more AI-powered and compute-heavy tools entering the market.
That shift requires real architectural changes, instrumentation, metering, billing logic, and UI changes, not just pricing tweaks. It s something I m starting to seriously think about for my own product.

In particular, AI usage has real COGs (every prompt costs money), and I m seeing more platforms experimenting with usage-based models, or hybrids like SaaS base + usage + overage.

For those of you building AI or compute-intensive tools:

1. Describe the problem:

I am a startup founder. My problem is periodic emotional burnout and a certain loneliness on this journey, especially when a project requires a long time and a huge amount of effort to get it off the ground to the first tangible results (on average, this takes 2-3 years).
During the "low points" (once every few months), there is no one to honestly and kindly discuss fear, uncertainty, difficulties, or failure with, without judgment. And at the same time, to get real emotional support to avoid abandoning my project, especially if it is promising.
I don't want to bother my wife and loved ones too much either, and my non-startup friends don't really understand my "pains." Existing communities and mentors solve business problems but don't provide the psychological support of a "brother in arms." I would like to have some kind of safe space for regular group calls where one can vent and get support from other founders.
Perhaps the solution should involve some sort of AI moderator that would facilitate the meetings and guide the entire group for the desired effect, and at the end of the meeting provide useful recommendations and assess the match between group participants.