LenzIndependent, multi-model fact-checking API for AI workflows
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Aproxymade
Smart REST API Monitoring & Caching. Zero Code Changes.
32 followers
Smart REST API Monitoring & Caching. Zero Code Changes.
32 followers
Stop choosing between speed and consistency. Aproxymade brings developer-friendly application-aware edge caching to dynamic REST APIs. Our AI automatically configures caching and instantly invalidates stale data. Cut cloud costs and boost speeds globally with a simple URL swap.
@syncall Exciting :) I am biased of course, as I have also done some work for the building of Aproxymade. But at the same time, I am a satisfied user also, using API caching in my other (vibe-coded) projects: e.g. the attached image shows the performance for a gradually scaling service serving illustrative images from a Supabase store. A 10% overall improvement in latency is already okay - but it is even better that actually 34% of all requests are served practically immediately, which is VERY visible difference in user experience. And that should further improve if the usage of this service further grows, which is nice :)
Mailwarm
What’s the failure mode if the AI gets it wrong, like do you ever risk serving old data and how do you monitor that?
Hey @naimz :) we have two strategies here, the first one ist that the AI model does not make the caching decisions directly, it is used to create an API model and caching strategies around it and a developer can easily understand and review both (we visualize them in our UI). The second strategy is that we forward a random sample of API calls to the origin so we are able to compare the cached version and the fresh version from the origin and calculate a consistency score.