Indie developers running small Go and Node backends face a painful gap when something breaks in production. Their side projects generate logs, but the standard tools are wrong for their scale. Self-hosting ELK (Elasticsearch, Logstash, Kibana) means running a memory-hungry cluster that costs more than the side project earns. Datadog and comparable platforms are priced and designed for teams, with per-host billing and feature surface that overwhelms a one-person operation. So most solo developers fall back to SSH-ing into a box and grepping raw log files, which is slow, stateless, and useless the moment they scale to more than one server or a container that gets recycled. The named product here is Backend Log Explorer, a lightweight structured log aggregation and search service built specifically for solo side project developers. The solution is deliberately narrow: ingest structured logs from Go and Node backends via a small SDK or a syslog-style endpoint, store them cheaply, and give the developer fast full-text and field search through a clean web UI. No sprawling APM, no tracing, no dashboards to configure, no cluster to babysit. An MVP would be an ingestion endpoint plus lightweight SDKs for the two target runtimes, a searchable log store with retention windows, and a single-pane search UI. Revenue would come from a low, flat monthly subscription tiered by ingestion volume and retention length, positioned well under Datadog and easy to justify against the time cost of grepping servers. Go to market starts where these developers already congregate: Show HN launches, developer subreddits, and the same Stack Exchange and forum threads where people wrestle with server crashes and slow queries. Growth loops come from the SDK being open and shareable, from log links that can be shared with a collaborator, and from developers who use it on one side project bringing it to the next one they start.