Recast MMM
getrecast.comModel marketing contribution and forecast outcomes from historical spend and business results.
Model marketing contribution and forecast outcomes from historical spend and business results.
Call models from multiple inference providers through Hugging Face's shared SDK and API interface.
Build coordinate-based weather requests from current conditions and selectable hourly or daily forecast variables.
Monitor production ML and LLM systems for drift, quality, fairness, and agent behavior.
Organise a creator model with its instructions, then choose individual or membership access
Governor grounds coding agent requests in your code and routes them to the best model
Preview a 3D model before exporting another format
Edit, validate, transform, and debug XML and JSON in Altova's desktop development environment.
Design OpenAPI descriptions, create API documentation and validate designs in a visual workspace.
Automates Kubernetes canary and blue-green rollouts using traffic analysis and validation checks.
Visualizes and helps troubleshoot workloads in an Istio service mesh.
Run Bitcoin validation locally with a full node and optional wallet
Turn Markdown content and Tera templates into a static website with a single CLI.
A team timesheet tool for project hours, approvals, billing, and payroll preparation.
Researched components and patterns for government services
Custom-form submission handling with uploads and team access
Headless form collection with a visual submission workflow
Product-data enrichment with language scopes, validations and bulk actions
Create functional API tests from specifications or recorded traffic, then extend them into security and performance checks.
A Windows web-code editor with language-aware tools, project navigation and FTP publishing.
A prompt engineering workspace for comparing models and refining AI workflows
Experiment with financial language models, sentiment and forecasts
An LLM request gateway and dashboard for tracing calls, latency, and model spend.
Build and train Python machine-learning models with tensor operations, neural-network layers, and automatic differentiation.