Azure Open Datasets
Improve the accuracy of your machine learning models with publicly available datasets. Save time on data discovery and preparation by using curated datasets that are ready to use in machine learning workflows and easy to access from Azure services. Account for real-world factors that can impact business outcomes. By incorporating features from curated datasets into your machine learning models, improve the accuracy of predictions and reduce data preparation time. Share datasets with a growing community of data scientists and developers. Deliver insights at hyperscale using Azure Open Datasets with Azure’s machine learning and data analytics solutions. There's no additional charge for using most Open Datasets. Pay only for Azure services consumed while using Open Datasets, such as virtual machine instances, storage, networking resources, and machine learning. Curated open data made easily accessible on Azure.
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SpySERP
SpySERP is an advanced SEO rank-tracking and analysis tool built for agencies, freelancers, marketing teams, and website owners who want detailed, up-to-date insight into how their sites are performing across search engines. It tracks keyword rankings on major search engines (like Google, Bing, Yahoo, and more) for both desktop and mobile, and allows you to monitor positions globally or by specific location (country, region, or city). It supports competitor analysis; you can add competitor domains and track their keyword performance, compare their rankings and examine titles, snippets, and URLs. It offers deep keyword data, including clustering similar keywords, grouping them semantically to avoid overlap and maximize SEO efficiency. You can view historical position data, analyze SERP features (snippets, local packs, etc.), and export detailed reports.
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SciPhi
Intuitively build your RAG system with fewer abstractions compared to solutions like LangChain. Choose from a wide range of hosted and remote providers for vector databases, datasets, Large Language Models (LLMs), application integrations, and more. Use SciPhi to version control your system with Git and deploy from anywhere. The platform provided by SciPhi is used internally to manage and deploy a semantic search engine with over 1 billion embedded passages. The team at SciPhi will assist in embedding and indexing your initial dataset in a vector database. The vector database is then integrated into your SciPhi workspace, along with your selected LLM provider.
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KeywordOrbit
KeywordOrbit is a desktop keyword research app for Windows and Mac that expands Google Autocomplete into thousands of real search queries. It attaches monthly search volume, CPC, and 24-month trend history through the user's own free Google Ads account (Keyword Planner integration) at no extra cost, or via an optional pay-as-you-go API mode. A one-click clustering engine groups thousands of keywords into topic clusters by search intent, with total monthly demand per cluster - turning a flat keyword list into a content plan. Includes built-in Google Trends analysis (interest over time, top countries, related queries), multi-tab projects, advanced filtering, favorites, tri-state filters, and CSV export, with grid performance built for 50,000+ keyword datasets. Projects save as local files: research data stays on the user's machine. Founding-member pricing from $19/month or a $199 one-time lifetime license. $1 7-day full-access trial. Windows builds code-signed; macOS builds notarized.
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