AI SaaS Retention Gap

A pay-per-use coding-plugin founder reports 120 signups but zero installs after introducing free credits, with abuse consuming the intended acquisition offer. This is a new concrete instance of the existing attention-to-revenue gap, not a measured retention cohort or a claim about the whole AI SaaS market. It remains Reddit-only and self-reported. Confirm through verified activation funnels, abuse-adjusted acquisition costs and paying-user retention.

A solo founder reports 17,000 views for an AI speaking-analysis product but only two paid subscriptions, with basic feedback left free because deeper analysis carries model cost. This is another concrete instance of attention failing to cover inference economics. It strengthens the line but remains anecdotal and limited to Reddit rather than independent cohort data.

One AI design founder reports sixty signups and no conversions after a polished launch; another creator-tool operator reports MRR doubling after removing a free tier and simplifying pricing. These contrasting accounts strengthen the existing trial-to-paid-use gap, not a universal claim that free tiers fail. Both remain Reddit anecdotes, with simultaneous changes and no controlled cohort analysis.

Two founder reports point in opposite directions: one product converted real usage into no paid customers while another reached 16 subscriptions in its first week. The useful weak signal is not a universal retention claim, but a widening gap between products that become workflows and products that remain trials; independent cohort data is still needed.