Announcing Credit — an automated, undercollateralized lending system built on stablecoins. Live since December 2024, it has issued 175,000+ loans to 100,000+ unique borrowers worldwide
We raised $6.6M led by Paradigm, with Nascent and strategic angels, to scale and expand Credit
Credit is graduating to Casia, our standalone mobile app.
If you supplied USDC to Credit, withdraw it all at https://t.co/BgLxHNiBz7 by December 31, 2026. After that date, we'll discontinue support for the vault, and any USDC left in it will become permanently inaccessible.
Your USDC funded 1.49 million undercollateralized loans for 922,307 people verified only with World ID.
Thank you to every liquidity provider who made that possible.
Announcing Credit — an automated, undercollateralized lending system built on stablecoins. Live since December 2024, it has issued 175,000+ loans to 100,000+ unique borrowers worldwide
We raised $6.6M led by Paradigm, with Nascent and strategic angels, to scale and expand Credit
1/ Sharing name-generator: a fast workflow for finding product names that might actually be usable.
It uses Claude to generate natural-sounding names and screen them for obvious trademark and namespace issues.
https://t.co/uynUxaswo4
How can a permissionless network issue unsecured credit when the cost of creating a fake identity is zero?
Today, we’re sharing a mechanism for pseudonymous lending that requires neither overcollateralization nor legal recourse.
Finally, the design formalizes how to safely scale credit limits with repayment.
Limits grow only as much as possible without creating a profitable opportunity for strategic "repay-then-default" attacks.
Introducing the Credit Scoring API: real-time creditworthiness data for 500k+ World accounts that have borrowed on Credit
Use it to focus your app and incentives on trustworthy users who are less likely to game or farm your system
https://t.co/ezTkgXOusw
You can use the API to tune rewards, limits, or access. For example:
✦ Offer higher rewards to users with high credit scores, who are more likely to be high-quality
✦ Restrict or offer lower rewards to users with low scores, who are more likely to engage in fraud or farming