Abby_101

9 ms·

1.
by Abby_101 5mo ago
Built credit pricing into my SaaS for AI features and the hardest part wasn't the math, it was that customers can't easily predict their own usage. They underuse and feel cheated, or overuse and churn. Subscriptions hide that vola
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by Abby_101 5mo ago
The constraint I'd add for solo SaaS is "can I find one beta user this week." Time, scope, tech all stayed reasonable on my one pager but a project can pass those filters and still die because no one walks in the door. Adding
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by Abby_101 5mo ago
The "garbage facts in, garbage briefs out" caveat is the part I'd want stress tested. In my own LLM features the context that decays fastest is what agents wrote without a human glance. Six months in, you have entries that ar
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by Abby_101 5mo ago
Half the work of pricing a solo SaaS is modeling what a bad month looks like if egress or IOPS spike. You end up pricing defensively to protect against your own infra bill instead of pricing to the value you provide. A fixed bucket of compu
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by Abby_101 5mo ago
The over-editing cost is asymmetric when you're solo. If an agent rewrites 50 lines when you asked it to touch 5, there's no second reviewer behind you. You're the writer and the reviewer, and reviewer (you) is usually the on
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by Abby_101 5mo ago
Sort of - there's Qwen3-Coder and the Codestral family, but those are still multi-language, just code-focused. For truly single-language specialization, the practical path is fine-tuning an existing base model on a narrow distributi