Hatch

Pricing model
Paid
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Hatch Canvas is an online creative platform that lets users craft interactive web content using easy-to-use drawing tools. Its main feature, Hatch Draw, empowers anyone to build websites, apps, games, and interactive narratives by drawing directly on a browser-based canvas, eliminating the need for coding. The platform converts hand-drawn elements into dynamic web objects complete with physics, animations, and interactive functionality. Creators can effortlessly publish their creations as live web pages, making it perfect for artists, designers, and individuals without technical expertise who wish to express their visual concepts online with a unique, creative flair beyond what traditional web development offers.

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Freemium
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CodeConvert is a no-cost automated tool for translating code between various programming languages, eliminating the need for manual rewriting. Its straightforward interface and absence of setup requirements make it accessible, even for programming novices.
Freemium
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Buildglare is a low-code platform driven by AI that allows for rapid and easy creation of SaaS applications. By utilizing natural language input, it automates the generation of pages, modules, and database configurations, simplifying the development process. Featuring real-time collaboration, version control, and one-click deployments, Buildglare is perfect for developers, entrepreneurs, and small teams aiming to efficiently create functional SaaS products without the need for extensive coding expertise.
Paid
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Baz is an AI-enhanced source control management system designed to optimize code review procedures for development teams. It seamlessly connects with GitHub to deliver smart PR descriptions, contextual reviews, and AI-generated coding recommendations. By conducting thorough impact assessments, structuring code reviews efficiently, and providing in-depth insights from CI logs, Baz assists teams in improving collaboration, elevating code quality, and confidently deploying updates. Developers may opt for Baz to conserve time, identify potential problems early, and achieve a deeper grasp of code modifications and their implications within intricate software architectures.