Nightingale
n9e.github.ioCentralize alert rules across metrics, logs, and database sources you already run.
Centralize alert rules across metrics, logs, and database sources you already run.
Build hosted API simulations to test applications without waiting on live dependencies.
Connect one application to email accounts across major providers through a normalized API and webhook workflow.
Survey data collection with case IDs linking follow-up submissions to existing records
Build, test, and deploy code through visual or YAML-defined CI/CD pipelines.
Free website traffic and conversion reports, with optional paid Pro access
Fine-tune and run open-source models on your data
Run your existing automated browser tests on BrowserStack's hosted browser grid.
Measure how well JavaScript and TypeScript tests detect deliberately introduced code changes.
Orchestrate Terraform and OpenTofu plans, approvals, applies, and drift checks through existing CI.
Add automated accessibility rule checks to an existing browser UI test flow.
A free Windows programmer’s editor with project workspaces, macros, FTP, HTML preview and a hex editor.
A Python and R IDE that pairs script and notebook editing with live data exploration tools.
Automatic time tracking that keeps activity data offline
Add sourcing to an existing applicant tracking system or run recruiting in Gem's own platform.
Data observability platform that catches silent data quality issues before they impact your business.
Investigate monitoring alerts with an AI SRE agent and review findings in a centralized platform.
Bring an existing set of colours together with a shared tint.
Content-to-newsletter automation that builds issues inside an existing email platform
Enterprise voice AI agents that resolve customer calls end to end
AI assistant that works across browser, WhatsApp, phone, and desktop
Coordinate sourcing, outreach, screening and scheduling above an existing applicant-tracking system.
Track company events, filings and niche industry groups
Jupyter-native AI agent that writes, runs, and debugs Python in notebooks.