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We built Socratize, an AI-based training tool where employees practice real workplace scenarios instead of watching videos or taking quizzes.

Most corporate training is passive. People watch content, click through slides, pass a quiz, and forget most of it within days.

We wanted to try a different approach: learning through dialogue and repetition.

With Socratize, users enter realistic scenarios and have to respond to an AI “counterparty”.

For example:

A sales rep practices handling: “Your product is too expensive” A support agent practices de-escalating an angry customer An employee practices explaining a compliance rule in their own words

The AI responds like a realistic counterpart, challenges weak arguments, and continues the conversation until the user improves or fails the scenario.

The goal is simple: replace passive training with active practice.

We’re using Claude to generate responses and evaluate the quality of the user’s arguments based on context and reasoning. Each session is stored so teams can see where people struggle and what scenarios are hardest.

Tech stack:

Next.js (frontend) Node.js backend PostgreSQL Claude API

We launched the MVP last week.

We’re still early and would really appreciate feedback from people here:

Does this approach actually make sense for training? What use cases are we missing? What would make this fail in real companies? Is this fundamentally useful or just “interesting but not needed”?

Try it here: https://socratize.io

Free tier, no credit card required.

Happy to answer any questions.

Comments URL: https://news.ycombinator.com/item?id=48221788

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Article URL: https://whatchord.earthmanmuons.com/articles/under-the-hood

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Article URL: https://blog.sebin-nyshkim.net/posts/tailwind-suffering-from-success/

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Article URL: https://www.nature.com/articles/d41586-026-01573-x

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Article URL: https://80.lv/articles/how-netease-built-an-authentic-wuxia-open-world-in-where-winds-meet

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Article URL: https://www.uni-wuerzburg.de/en/news-and-events/einblick/single/news/sandfish-mars-rover/

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Article URL: https://www.wsj.com/tech/u-s-to-award-quantum-computing-firms-2-billion-and-take-equity-stakes-7382e6be

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I was curious what it would look like if I plotted the intensity and volume of software supply chain CVEs over time, given what seemed like a flood of compromises lately.

It looked exactly as I expected, and I expect it to get worse before it gets better.

Yes, an LLM was used but because I wanted the simplest possible architecture, I steered away from using any back end at all. Instead it's just GitHub pages with a static json document as the source of data, updated daily by a GitHub action which stores and parses the OSV repository.

I wanted to include the Linux kernel but the complexities around how CVEs are assigned there made it difficult -- if I find a simple solution in future I'll add it.

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Article URL: https://pocketweb.tools/

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bjbjhb

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Article URL: https://phys.org/news/2026-05-friend-foul-exploring-ancient-bond.html

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Hey HN,

Finally finished up this little app I built 2 years ago inspired by https://pulsestats.app (for Plausible) but for Fathom

Super useful for a quick glance at web stats without having to keep their dashboard open.

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Article URL: https://netbeans.apache.org/front/main/index.html

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