Find communities, creators, and conversations.
Reddit post search and YouTube channel discovery for research and prospecting workflows.
Independent data tools
Useful signals.
Ready to work.
Northglass Labs builds focused data utilities that turn difficult, scattered sources into structured output for operators, developers, and AI systems.
FocusedOne clear job per tool
StructuredClean, usable outputs
AutomatableBuilt for workflows
MaintainedMeasured in production
Current portfolio
Small tools for real data jobs.
Our first collection is live on the Apify platform. Each Actor is designed to collect a specific kind of public data and return it in a form that is easier to search, schedule, export, and connect.
Track products and technical signals.
Structured Product Hunt launches, GitHub repositories, Hacker News stories, and Stack Overflow questions.
Podcast discovery
Search podcasts by topic and retrieve useful feed metadata.
Transcript collection
Locate transcript data exposed through podcast feeds.
Built around demand, not novelty.
New tools are selected through market evidence, technical feasibility, and a clear reason to exist alongside established alternatives.
How we build
Clarity before scale.
The goal is not to create the largest catalog. It is to operate a growing set of tools that stay understandable, dependable, and worth using.
Show the limits
Sources change and coverage varies. Documentation should explain what a tool can retrieve, what it cannot, and what a run will cost.
Verify the output
Tools are tested against live sources and monitored for failed runs, structural changes, and degraded data quality.
Improve from evidence
Usage, support requests, and market activity determine what gets refined, expanded, or retired.
Work with Northglass
Have a data job that should be simpler?
Tell us what source you need, how you use the output, and what existing tools get wrong.
Start a conversation