Our client is a fintech startup that built a contact book for finance professionals. After acquisition, the product became part of a fintech communication suite alongside a chat and a walkie-talkie app, with the contact book serving as the shared directory layer. We built the product and supported the integration.
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Country:
USA
Industry:
FinTech
Platform:
Web
Service:
Staff Augmentation
Built the data layer on PostgreSQL using the Entity–Attribute–Value model — a well-established fit for data with many heterogeneous attributes. Added new attribute types without restructuring the database.
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Ran performance testing against increasingly complex queries: no degradation in query speed as criteria multiplied. |
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Used Replicant for rendering on the frontend, cutting the JavaScript and CSS footprint in half. |
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Integrated the contact book with the site's chat and walkie-talkie apps as their shared contact layer. |
Stable query performance on complex multi-criteria search, confirmed by testing |
2x smaller JS and CSS footprint after the switch to Replicant |
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New contact attributes added without database migrations |
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Product acquired and integrated into a three-app fintech suite; |
2 Clojure developers
1 Project Menager
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