ServiceGraph Reviews and Details

Questions & Answers

1. What makes ServiceGraph unique?

   Most "where to launch / who to email / who to hire" lists online are stale — 2-year-old listicles where half the links 404, ChatGPT answers that invent URLs, frozen Notion lists nobody updates. ServiceGraph is the live alternative: curated datasets of product directories, business directories, newsletters and agencies, each row carrying real metrics — traffic, domain rank, subscriber counts, ratings — refreshed continuously and exportable as CSV or JSON.

2. Why should a person choose ServiceGraph over its competitors?

   Three reasons. (1) Freshness — most directory aggregators publish once and rot; we maintain ours as a living dataset. (2) Real metrics on every row, not just a list of names — filter directories by DR and traffic for SEO, newsletters by subscriber count for outreach, agencies by ratings and location for hiring. (3) Zero-friction trial — browse, search and filter completely free; 2,000 credits on signup, no card, credits don't expire.

3. How would you describe the primary audience of ServiceGraph?

   Founders and growth operators at early-stage startups, typically 1–10 people, who just shipped a product or are about to. They keep hitting the same three questions: where do I launch this, who do I email to grow, who do I hire. Solo indie hackers, small SaaS teams, and the marketers and agencies who serve them.

4. What's the story behind ServiceGraph?

   We built it for ourselves. Every time we shipped, finding the right places to launch and the right people to reach ate a full day of googling stale listicles and asking ChatGPT for URLs that didn't exist. We started maintaining our own list — with real traffic and domain-rank attached to each row — and realized every other founder was hitting the same wall. So we turned the internal tool into a product. Operated by NostrCorp, Inc. (Delaware).

5. Which are the primary technologies used for building ServiceGraph?

   TypeScript on the application side (web app and product API). Python for the data and ML pipeline that enriches and classifies rows across all datasets — directories, newsletters, agencies. ClickHouse as the storage and analytics backbone — chosen for fast aggregations across millions of rows so search, sort and filter stay snappy even on the 110k+ agencies dataset. REST API over HTTP exposed at docs.servicegraph.co.