This story was originally published on HackerNoon at: https://hackernoon.com/serp-benchmarks-success-rates-and-latency-at-scale.
​​We benchmark SERP APIs for success rate, ​​speed, and stability under load. Learn which setup delivers consistent results for AI agents ​​and deep research.
Check more stories related to tech-stories at: https://hackernoon.com/c/tech-stories. You can also check exclusive content about #serp-api-benchmark, #geo, #google-serp-apis, #deep-web-search-engine, #bright-data-review, #ai-agent-data-pipelines, #best-serp-api-for-ai, #good-company, and more.

This story was written by: @brightdata. Learn more about this writer by checking @brightdata's about page, and for more stories, please visit hackernoon.com.

​​We benchmarked nine SERP APIs on latency and reliability for AI agents and large-scale scraping. Most perform well, but Bright Data leads in speed, consistency, and production readiness.

This story was originally published on HackerNoon at: https://hackernoon.com/the-ai-builder-stack-linear-cursor-vercel-and-qatech.
Manual testing can't keep up with modern development. See how QA.tech's AI testing automation catches bugs on every PR -- no Playwright or Cypress scripts to ma
Check more stories related to programming at: https://hackernoon.com/c/programming. You can also check exclusive content about #qa, #software-qa, #qa-testing, #qa-best-practices, #qa-engineering, #vibe-testing, #test-automation, #good-company, and more.

This story was written by: @qatech. Learn more about this writer by checking @qatech's about page, and for more stories, please visit hackernoon.com.

Manual testing can't keep up with how fast teams ship code. This article walks through building a checkout flow using Linear (planning), Cursor (AI-assisted coding), Vercel (instant deploys), and QA.tech (AI testing automation). QA.tech replaces manual QA by auto-generating E2E tests from plain English, running them on every PR, and catching bugs before merge -- no Playwright or Cypress scripts to write or maintain. The full cycle from code push to tested deployment took about 5 minutes.