LynxDB is a single-binary log analytics database that ingests logs once into indexed columnar storage, so you can query the same events repeatedly without re-reading raw files or standing up a JVM stack. Pipe kubectl output or local files straight into the LynxFlow query engine for ad hoc investigation, or run the persistent server and let shippers deliver logs through Elasticsearch bulk, OpenTelemetry OTLP, Splunk HEC, syslog, and raw HTTP ingest paths. LynxFlow pipelines parse JSON, regex, key-value, CSV, and other formats at read time, then extend fields, filter with typed predicates, aggregate with stats, join CTEs, and rank results, all in one explicit grammar with time-series helpers for buckets, percentiles, gap filling, and trend lines. Full-text search runs on an FST dictionary, roaring bitmap postings, and bloom filters that skip cold segments, and materialized views keep partial aggregates ready so dashboards rewrite onto rollups automatically. Convert Sigma detections into LynxFlow queries for security hunting, tail live results as new logs arrive, and tier older data out to S3. Individual analysts use it to dissect local application logs, and platform teams run it as a cluster for shared observability with the Web UI and REST API open to everyone. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache-2.0 licensed.