According to a recent LinkedIn post from Spinwheel, the company is emphasizing the limitations of using 30‑day‑old credit liability data in assessing debt‑to‑income ratios. The post highlights that revolving credit card balances can change daily, which may cause some creditworthy borrowers to appear riskier than they are when lenders rely on stale data.
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The company’s LinkedIn post highlights Spinwheel’s focus on providing real‑time credit card balance information at the moment of credit decision and payoff. For investors, this suggests Spinwheel is positioning itself as an infrastructure provider that could improve risk modeling accuracy for lenders, potentially increasing demand from banks, fintechs, and other credit originators seeking more precise underwriting tools.
The post suggests that Spinwheel is targeting customers who are actively looking to upgrade liability data workflows, as it invites prospective clients to schedule product demonstrations. If this outreach converts into enterprise integrations, Spinwheel could benefit from recurring revenue streams and deeper embedding within lenders’ decision engines, strengthening its competitive position in the credit data and analytics ecosystem.