
Gaffa is a REST API built for web scraping and browser automation, allowing developers to run real, full browsers at scale with a single API call. It removes the difficulty of managing headless browser frameworks, rotating proxies, CAPTCHA solving, and scaling infrastructure, all of which are handled automatically.
JavaScript-heavy and dynamic websites render exactly as they would for a human visitor by default. Beyond standard scraping, Gaffa supports AI-driven structured data extraction (extract data into a defined schema without writing CSS selectors), screenshot and PDF capture, infinite-scroll and form-filling automation, and clean Markdown conversion for feeding webpages directly into LLM and RAG pipelines.
A rotating residential proxy network keeps access reliable across regions, and a credit-based pricing model means teams pay only for the browser time and bandwidth they actually use. Gaffa is designed for AI engineers, data teams, and developers who want production-grade web data extraction without having to build and maintain their own infrastructure.
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DropTrack is a music promotion and release management platform for independent artists, labels, managers, DJs, playlist curators, bloggers, radio contacts, and industry influencers. The platform helps users prepare tracks for promotion, pitch the right contacts, and measure how people respond to each release. DropTrack’s Music Analyzer gives artists a readiness score, mood, genre, similar artist references, and practical next steps before they spend money on promotion. Users can also generate release assets such as album art, press releases, artist bios, track versions, and professional campaign materials. The platform supports targeted submissions to labels, DJs, playlist curators, blogs, radio stations, and other contacts that fit a song’s genre and audience. Email campaign tools let users send music to their own lists or use DropTrack’s genre-based contact lists, then track opens, plays, downloads, comments, and follow-up signals. Spotify playlist placement options help artists pursue real playlist exposure while avoiding fake or bot-driven lists. DropTrack also connects with AI assistants such as Claude, ChatGPT, Cursor, and Copilot so users can create weekly label briefs, campaign drafts, contact ideas, and release checklists from account data. By combining track analysis, release preparation, contact lists, submissions, playlist placement, email campaigns, and analytics, DropTrack helps music teams promote smarter and build stronger fan and industry relationships.
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Katana Graph
Streamlined distributed computing significantly enhances graph-analytics performance without requiring extensive infrastructure changes. By incorporating a broader variety of data for standardization and visualization on the graph, insights can be significantly strengthened. The combination of advancements in both graph and deep learning results in efficiencies that facilitate prompt insights on the largest graphs in existence. Katana Graph equips Financial Services firms with the tools to tap into the vast possibilities offered by graph analytics and AI at scale, enabling everything from real-time fraud detection to comprehensive customer insights. Leveraging breakthroughs in high-performance parallel computing (HPC), Katana Graph’s intelligent platform evaluates risks and uncovers customer insights from massive data sets using rapid analytics and AI capabilities that surpass those of alternative graph technologies. This transformative approach allows organizations to stay ahead of trends and make data-driven decisions with confidence.
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Machestra
Machestra is a comprehensive solution for production scheduling and shop floor management tailored specifically for small manufacturers operating between 3 to 30 machines. It eliminates the hassle of spreadsheets, whiteboards, and shared calendars by providing a centralized platform to manage machines, personnel, materials, and schedules effectively.
The system focuses on four key functions and intentionally avoids any additional complexity. Each job is divided into distinct operations, with each operation assigned to its own machine, operator, and designated time frame, allowing for precise tracking of a part's journey through processes like turning, milling, and inspection, rather than relying on estimations. The scheduling board displays commitments for every machine, preventing double bookings and enhancing workflow efficiency. Additionally, each operation logs its actual start and finish times compared to initial plans, progressively refining lead time estimates with every completed job.
Machestra offers a flat pricing structure based on the number of machines without imposing per-user fees, making it cost-effective for teams to adopt without incurring extra expenses. The entry-level Starter plan is available for $19 per month, while the Growth plan costs $79 per month, with prices adjusted according to local purchasing power. Notably, the service is free for users managing up to three machines, requiring no credit card information and having no time constraints for use. This user-friendly approach makes Machestra an appealing choice for small manufacturers looking to streamline their operations.
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