diff --git a/readme.md b/readme.md
index a42f38c..6c6494e 100644
--- a/readme.md
+++ b/readme.md
@@ -329,6 +329,7 @@ If you are new to eBPF, you may want to try the links described as "introduction
 - [Hubble](https://github.com/cilium/hubble) - Network, service and security observability for Kubernetes using eBPF.
 - [Ingero](https://github.com/ingero-io/ingero) - eBPF-based GPU causal observability agent. Traces CUDA Runtime and Driver APIs via uprobes and host kernel events via tracepoints to build causal chains explaining GPU latency, with <2% overhead.
 - [Caretta](https://github.com/groundcover-com/caretta) - Instant Kubernetes service dependency map generated by eBPF, right to a Grafana instance.
+- [kpod-metrics](https://github.com/pjs7678/kpod-metrics) - eBPF-based pod-level kernel metrics collector for Kubernetes. Exports per-pod CPU, network, memory, syscall, disk I/O, and L7 protocol metrics to Prometheus. BPF programs are defined using a [Kotlin DSL](https://github.com/pjs7678/kotlin-ebpf-dsl) instead of C.
 - [DeepFlow](https://github.com/deepflowio/deepflow) - Instant observability for cloud-native and AI applications based on eBPF.
 - [Coroot](https://github.com/coroot/coroot) - Coroot is an open-source APM and observability tool, a DataDog and NewRelic alternative.
 - [kyanos](https://github.com/hengyoush/kyanos) - Kyanos is an eBPF-based network issue analysis tool that enables you to capture network requests, such as HTTP, Redis, and MySQL requests.