Why eBPF Developers Are High-Value Leads
eBPF (extended Berkeley Packet Filter) has moved from a Linux kernel curiosity to the foundation of modern observability, networking, and security tooling. Companies building in this space — Isovalent (Cilium/Tetragon), Grafana (Beyla), Datadog, New Relic, Sysdig, and dozens of startups — all need to reach the developers writing raw eBPF programs, working with libbpf, or contributing to eBPF-adjacent projects.
GitHub is where these developers live. They star repos like cilium/ebpf, iovisor/bcc, and iovisor/bpftrace. They open issues asking about BTF portability and CO-RE relocation. They submit PRs adding XDP programs or kprobe tracing scripts. GitLeads captures all of these signals and pushes enriched lead profiles into your sales stack.
eBPF GitHub Signal Types
- Stargazers on cilium/ebpf, libbpf/libbpf, iovisor/bcc, iovisor/bpftrace, cilium/cilium, cilium/tetragon
- Keyword mentions: "libbpf", "CO-RE", "BTF", "XDP", "kprobe", "uprobe", "tracepoint", "bpf_map", "bpf_prog"
- Issue/PR activity in Falco, Pixie, Hubble, Parca, Coroot, Grafana Beyla
- Discussions mentioning "eBPF overhead", "kernel version compatibility", "BTF skeleton generation"
- Commit messages referencing bpf2go, cargo-bpf, aya-rs for eBPF in Rust
Setting Up eBPF Lead Capture in GitLeads
GitLeads supports two signal types: stargazer signals (new stars on tracked repos) and keyword signals (mentions in GitHub Issues, PRs, Discussions, and code). For eBPF leads, combine both.
Repos to Track for Stargazer Signals
- cilium/ebpf — the Go library for eBPF programs
- libbpf/libbpf — the canonical C eBPF library
- iovisor/bcc — BPF Compiler Collection with Python front-end
- iovisor/bpftrace — high-level scripting language for eBPF
- cilium/cilium — eBPF-based Kubernetes networking/security
- cilium/tetragon — eBPF-based security observability
- grafana/beyla — eBPF auto-instrumentation for RED metrics
- aquasecurity/tracee — runtime security and forensics
- pixie-io/pixie — in-cluster Kubernetes observability
- parca-dev/parca — continuous profiling with eBPF
Keywords to Monitor
// Keyword signal configuration for eBPF leads
keywords:
- "libbpf CO-RE"
- "bpf_map_lookup_elem"
- "BPF_PROG_TYPE"
- "bpf2go"
- "BTF skeleton"
- "XDP program"
- "tc ingress ebpf"
- "kprobe uprobe tracepoint"
- "aya-rs ebpf"
- "eBPF kernel version"Lead Enrichment Fields for eBPF Developers
Every lead GitLeads captures includes name, email (if public on GitHub), GitHub username, profile URL, bio, company, location, follower count, top programming languages, and the signal context (what repo they starred or what keyword was mentioned in their activity). For eBPF leads, the top languages field typically shows C, Go, or Rust — useful for routing to the right sales rep or sequence.
Routing eBPF Leads to Your Stack
- HubSpot: auto-create contacts with eBPF signal as a custom property
- Clay: enrich with LinkedIn data and company size before outreach
- Smartlead/Instantly: route to technical cold email sequences
- Slack: alert DevRel when a known OSS contributor stars a tracked repo
- Salesforce: sync to leads object with signal_type=ebpf_stargazer
eBPF Developer Personas to Target
- Kernel/systems engineers writing eBPF programs in C or Rust
- Platform engineers adding eBPF-based observability to Kubernetes clusters
- Security engineers building runtime enforcement with Falco or Tetragon
- SREs evaluating continuous profiling tools (Parca, Pyroscope)
- DevRel leads at companies building eBPF-adjacent products