Hexus.ai is an AI-powered platform designed to revolutionize how product-led teams create and manage customer-facing content. By consolidating tools for recording, editing, hosting, localization, analytics, and collaboration into a single platform, Hexus.ai streamlines workflows and accelerates time-to-market. Teams can effortlessly produce interactive product demos, step-by-step guides, and technical documentation, ensuring consistent and up-to-date resources across all customer touchpoints. A standout feature of Hexus.ai is its AI-driven content adaptation capabilities. Users can repurpose existing materials into various formats—such as transforming a product demo into a step-by-step guide or a product launch blog—with just a few clicks. The platform's AI engine also enables the addition of voiceovers, customizable call-to-actions (CTAs), and forms post-recording, eliminating the need for multiple re-recordings. This not only saves time but also ensures that content remains relevant and engaging, adapting seamlessly to product updates. Hexus.ai is built with scalability and user experience in mind, offering features like dynamic content customization through URL parameters and support for over 40 languages. Its enterprise-grade security and compliance measures make it a reliable choice for organizations of all sizes. By leveraging Hexus.ai, product-led teams can deliver high-quality, personalized content that enhances customer engagement and drives product adoption.
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Hexus's answer:
Hexus.ai is a game-changer for product-led teams who want to create customer-facing content faster and smarter. Unlike traditional tools that are siloed and manual, Hexus brings everything—screen recording, editing, documentation, localization, and analytics—into one seamless AI-powered platform. You can record once and instantly repurpose that into interactive demos, how-to guides, product updates, or support docs. It even supports dynamic personalization and multi-language support, making it perfect for scaling content across global teams and user segments.
Hexus's answer:
Someone should choose Hexus over its competitors because it’s built with speed, scale, and simplicity at its core. While most tools focus on just one piece of the puzzle—like recording, documenting, or translating—Hexus combines everything in one platform. You don’t have to switch between Loom, Notion, Google Docs, and translation tools anymore.
What really sets it apart is the AI engine—you can record once and instantly repurpose that content into multiple formats like step-by-step guides, product tours, onboarding docs, or even announcements. It also supports personalization using dynamic URLs, auto localization in 40+ languages, and real-time updates, so your content never goes stale.
If you’re part of a fast-moving product, success, or enablement team, Hexus saves time, keeps everything in sync, and helps you deliver content that actually drives adoption—all without needing a huge team or tech skills.
Hexus's answer:
Our primary audience is product-led teams—especially folks in customer success, enablement, marketing, and product management—who are constantly creating content to help users understand and use their product better. These are the people who need to ship guides, demos, updates, and documentation fast, often with limited time and resources.
They typically work at startups, SaaS companies, and growing tech teams where speed and clarity matter. Hexus is perfect for teams that want to improve onboarding, boost product adoption, reduce support tickets, and scale content without having to juggle five different tools or rely on engineering for every update.
In short: If you’re someone who needs to turn complex product features into clear, helpful content at scale—Hexus is made for you.
Hexus's answer:
The story behind Hexus starts with a simple but frustrating reality: product teams were wasting way too much time creating and updating user-facing content. Every new feature meant re-recording demos, rewriting guides, and scrambling across five different tools just to keep users in the loop. That constant struggle sparked a big question—“What if we could build one platform to handle it all?”
Sakshi Pratap, our founder, saw this pain point up close. She realized that while tools for recording, documentation, and localization existed, they weren’t built to work together—and they definitely weren’t built for speed. So, she decided to build Hexus, a unified, AI-powered workspace where teams could create once and repurpose endlessly.
From day one, Hexus was designed to make content creation effortless. It brings together recording, editing, localization, automation, and analytics—all in one tool—so product-led teams can focus on growth instead of grunt work. Today, Hexus is helping teams around the world scale their content, improve adoption, and move faster than ever.
Hexus's answer:
Hexus.ai is trusted by a diverse range of high-growth startups and established enterprises that prioritize efficient, AI-driven content creation. Notable customers include:
Comcast Business: Their product team utilizes Hexus to rapidly capture workflows, facilitating quicker feedback loops and enhancing the measurement of ROI on documented issues.
Rebuy Engine: The customer support division at Rebuy Engine has integrated Hexus into their tech stack, finding it invaluable for customer engagement and enablement initiatives.
SMARTe: This company leverages Hexus to effortlessly create and personalize customer experiences, boosting team productivity with well-designed, ready-to-publish content.
Gather: CEO Kevin Wu praises Hexus for its versatility, particularly highlighting its speed of iteration and user-friendly interface, which simplifies the creation of marketing content.
Velt (YC W22): Rakesh Goyal, CEO of Velt, commends Hexus for its powerful capabilities, noting its efficiency in generating marketing and sales collateral swiftly and with ease.
These endorsements reflect Hexus.ai's commitment to delivering a comprehensive, AI-powered platform that streamlines content creation and enhances productivity across various industries.
Based on our record, Clojure seems to be more popular. It has been mentiond 39 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Another project of mine Bob can be seen as an example of spec-first design. All its tooling follow that idea and its CLI inspired Climate. A lot of Bob uses Clojure a language that I cherish and who's ideas make me think better in every other place too. - Source: dev.to / 4 months ago
Clojure is a LISP for the Java Virtual Machine (JVM). As a schemer, I wondered if I should give Clojure a go professionally. After all, I enjoy Rich Hickey's talks and even Uncle Bob is a Clojure fan. So I considered strength and weaknesses from my point of view:. - Source: dev.to / 7 months ago
For the rest of this post I’ll list off some more tactical examples of things that you can do towards this goal. Savvy readers will note that these are not novel ideas of my own, and in fact a lot of the things on this list are popular core features in modern languages such as Kotlin, Rust, and Clojure. Kotlin, in particular, has done an amazing job of emphasizing these best practices while still being an... - Source: dev.to / about 1 year ago
This article will explain how to write a simple service in Clojure. The sweet spot of making applications in Clojure is that you can expressively use an entire rich Java ecosystem. Less code, less boilerplate: it is possible to achieve more with less. In this example, I use most of the libraries from the Java world; everything else is a thin Clojure wrapper around Java libraries. - Source: dev.to / about 1 year ago
I have a tangential question that is related to this cool new feature. Warning: the question I ask comes from a part of my brain that is currently melted due to heavy thinking. Context: I write a fair amount of Clojure, and in Lisps the code itself is a tree. Just like this F# parallel graph type-checker. In Lisps, one would use Macros to perform compile-time computation to accomplish something like this, I think.... - Source: Hacker News / over 1 year ago
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