QSTrader
github.comStudy an exploratory Python engine for historical equities tests
Study an exploratory Python engine for historical equities tests
Product management system that grounds decisions in customer signals
AI programming assistant and cloud development environment in the browser
Microsoft’s emoji artwork with multiple visual treatments and metadata.
Podcast research for guest pitches and partnerships
Recruit and manage participants for user research
Check the holdings and exposures hidden behind ETF names
Collect notes, web research, tasks, and reference material in a searchable workspace.
Query a scholarly research graph of works, authors, sources, institutions, and related entities over a REST API.
Code and compare qualitative material with quantitative descriptors in a shared research project.
Process keyword lists in bulk and connect search research with ongoing visibility monitoring.
Research SEO content briefs and produce drafts with a configurable in-house writing platform.
Compare search interest across time, places and related topics before planning search content.
Build content briefs and topic clusters from search-result and AI-answer research.
Research private-market funds, investors and peer benchmarks
Participant recruitment, scheduling and incentives for research operations
Qualitative research activities and ongoing participant communities
Coordinate client SEO research, content work and traditional or AI search tracking in one workspace.
Research app-store keywords, prepare metadata and monitor search visibility across app markets.
Research keyword seasonality, inspect page details and compare backlink sources in a free toolset.
Research search questions, guide content work and monitor selected pages and queries.