# paid search niche research SaaS — Keyword Pipeline

Keyword research tool for finding profitable paid search niches — credit-based billing, Google sign-in, live on pipelinecpc.com

Type: project entry

Published: 2026-04-06

[Original page](<https://artlu.ai/project/paid-search-niche-research-saas-keyword-pipeline>)

[Browse this group](<https://artlu.ai/ai/groups/pipelinecpc.md>)

Parent project: PipelineCPC

Recorded status: launched

Updated: 2026-05-20T19:37:39.331Z

Technologies: JavaScript, Node.js, Stripe, Firestore, Firebase Auth, Railway

## Details

The SaaS version of the Keyword Pipeline local tool, live at pipelinecpc.com.

Users sign in with Google and get 250 free keywords on signup. From there it's a credit model — $29/month subscription unlocks the platform, plus credit packs ($10/$25/$50) for heavier usage. Credits are deducted per keyword returned.

The research pipeline: pick from 21 major categories, set CPC and competition filters, choose how many results to fetch, then run. Intent, volume, and negative keywords filter the results locally after the fetch. All filtering is local — honest about that in the UI.

Pro subscribers get access to 3,000+ categories via the full category browser. Free users are limited to the 21 major categories. Results auto-save after every run.

Built on the same single-file architecture as the local tool — index.html + server.js — with auth, per-user data, billing, and Railway deployment added on top.

## Links

[Site or demo](<https://pipelinecpc.com/>)

## Related build notes

[stripe billing and keyword ideas — pipelinecpc](<https://artlu.ai/ai/log/day-20-stripe-billing-and-keyword-ideas-pipelinecpc.md>)

[day 18 — keyword pipeline went live as a saas](<https://artlu.ai/ai/log/day-18-day-18-keyword-pipeline-went-live-as-a-saas.md>)


Status and dates describe the published record, not a recent test of an external service. Missing details are not inferred. Public links do not imply an open-source licence or permission to reuse material.

[Directory](<https://artlu.ai/llms.txt>)
