Only 14.81% of Startup Credit Offers Have Fully Machine-Readable Eligibility Rules
A developer analyzed Sourcey's openly licensed catalog of startup credit programs to determine how many could be evaluated by software without human review. Out of 439 active offers, 95 (21.64%) contained eligibility rules built entirely from structured predicates, matching Sourcey's own published statistic. However, further inspection revealed that 30 of those 95 offers held no predicate nodes at all — meaning their eligibility defaulted to a constant 'true' rather than an actual condition. One such case was UpCloud's trial credit offer, which verbally requires a new account but is stored as universally applicable, potentially misleading automated filters. Removing these predicate-free offers leaves just 65 genuinely machine-evaluable programs, or roughly 14.81% of all active listings.
This is an AI-generated summary. ShortSingh links to the original source for the complete article.
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