10 skills found
sickn33 / analytics-trackingDesign, audit, and improve analytics tracking systems that produce reliable, decision-ready data.
microsoft / azure-cosmos-rustAzure Cosmos DB library for Rust (NoSQL API). Document CRUD, containers, and globally distributed data. Triggers: "cosmos db rust", "CosmosClient rust", "document crud rust", "NoSQL rust", "partition key rust".
elementalsouls / cloud-saas-exposureOrganization-grade cloud and supply-chain attack-surface discovery: S3/GCS/Azure Blob bucket discovery via observed-name mining (CNAME/cert-SAN/Wayback) and bounded two-class permutation (6 prefixes x 15 suffixes on trusted tokens, bounded target-bound expansion on subdomain stems), existence (HEAD/…
wondelai / grow-appGuided journey from an app people sign up for and then quietly abandon to a sealed retention engine with a habit loop, an activated first run, and one metric the whole team trusts.
cbrock84 / business-intelligenceBuilds reporting and self-serve analytics that people actually use — metric trees, dashboard design, distribution, and the discipline that stops dashboards proliferating.
cbrock84 / marketing-analyticsSets up, audits, and reports on marketing measurement — tracking plans, event schemas, attribution models, and the dashboards built on them.
Aaronontheweb / dotnet-devcert-trustDiagnose and fix .NET HTTPS dev certificate trust issues on Linux. Covers the full certificate lifecycle from generation to system CA bundle inclusion, with distro-specific guidance for Ubuntu, Fedora, Arch, and WSL2.
rampstackco / product-analytics-setupHow to actually instrument product analytics correctly. Event taxonomy, property design, naming conventions, schema versioning, identity stitching, funnel design, retention cohorts, North Star metric selection, dashboard hygiene, instrumentation debt, and the failure modes that produce data nobody t…
aiskillstore / python-fastapiPython FastAPI development with uv package manager, modular project structure, SQLAlchemy ORM, and production-ready patterns.
jaechang-hits / polars-dataframesFast in-memory DataFrame with lazy evaluation, parallel execution, Arrow backend. Use for tabular data in RAM (1–100 GB) when pandas is too slow. Expression API: select, filter, group_by, joins, pivots, window. Lazy mode enables predicate/projection pushdown.
