Methodology

StackDiet optimizes for job coverage with as little redundant software as practical.

1. Detect the jobs

We first identify jobs such as email marketing, social DMs, CRM, meetings, writing or SEO. Products outside those jobs are removed before ranking.

2. Optimize the whole stack, not one card at a time

StackDiet evaluates combinations of relevant tools. It first minimizes the number of subscriptions, but a product may consolidate a job only when its fit remains close to the strongest option for that job. Among equally small stacks, the better-fitting combination wins.

3. No fake Top 3

If the catalog has only one strong match, we show one. We do not pad results with unrelated affiliate products.

4. Affiliate economics stay outside the ranking

Partner status and commission are monetization data, not relevance data.

5. Scores are limited

The public recommendation output uses fit explanations rather than arbitrary 99/100 product scores. The separate StackDiet audit score is a simple gamified signal based on detected overlap and stack complexity.