Scrimba launches HN.watch to turn Hacker News posts into videos

By Splitfeed EditorialLast updated Sep 28, 2026, 17:31 UTC

On September 28, 2026, Per Borgen, founder of the Y Combinator-backed company Scrimba, announced HN.watch in a Show HN post. The site mirrors Hacker News but replaces linked articles with short explainer videos. Those videos do not exist in advance; they are generated on demand the first time any user clicks a given post, using a tool Borgen calls Scrimba Explain. The underlying format is the same HTML-based video system Scrimba has used for roughly ten years to teach coding, now with an LLM connected to it so the system can produce explanations about any subject, not just programming.

The launch matters because it is both a product demo and an argument about where AI-generated education is heading. Scrimba Explain is the actual product Borgen wants to put in front of developers; HN.watch is the showcase. If the tool works reliably at the scale of Hacker News, which surfaces dozens of posts daily spanning a wide range of technical and non-technical topics, it would be a meaningful proof of concept for on-demand video generation as a general-purpose format. The acknowledged visual limitations of the HTML-based approach are the obvious point of contention, since video quality and accuracy of AI-generated explanations are the two things that would determine whether the tool is genuinely useful or merely a novelty.

No published reactions from the Pro-AI, Anti-AI, or Middle Ground camps have appeared yet. Typically, Pro-AI observers would treat a project like this as evidence that generative tools are compressing the cost and time required to produce educational content at scale. Anti-AI voices would likely raise concerns about accuracy, since LLM-generated explainers on rapidly changing or highly technical topics carry a real risk of confident errors. The Middle Ground camp would probably focus on the quality question Borgen himself sidesteps, asking how the HTML format's visual constraints affect comprehension and whether human review sits anywhere in the pipeline.

The argument will sharpen once users begin stress-testing the videos against complex or niche Hacker News posts and sharing results in the thread. How Scrimba responds to accuracy complaints, and whether Scrimba Explain is released as a standalone product beyond the HN.watch demo, are the next concrete developments worth watching.