Zero is evidence, not a verdict
The public update says the product had no paying users and no MRR in its first week. The observation window is short and self-reported, so it cannot prove that the product will never work.
It does show that registration or a polished demo is not payment evidence. The next decision should be driven by conversations and offers, not by another round of feature work.
Return to a specific user result
Choose one LinkedIn writing or research task and define what the buyer receives, when it arrives, and how they can reject it. A narrow paid pilot creates stronger evidence than more free sign-ups.
Ask one user for a real sample and a small commitment. If nobody will provide either, change the audience or result before changing the model.
Stop the invisible spend
Track subscriptions, failed calls, retries, manual edits, and the founder's time. Zero MRR can coexist with a growing cost base when experiments have no stopping rule.
Set a maximum budget and a date for review. Keep the input redacted and the acceptance rule written so a failed test can be closed cleanly.
Where APIToken fits
An isolated APIToken key can record current model availability, usage, failures, and budget while a small LinkedIn workflow is tested.
There is no evidence the source founder used APIToken. The platform is a controlled test surface, not a guarantee that a zero-MRR product will convert today. Keep the review date and decision record beside the usage log.