AI Dojo – open-source LeetCode-style trainer for AI prompts

Hacker News

AI Dojo is an open source project for practicing the fundamentals of working with LLMs. It's an extensible repo with sample exercises that focus on core skills like adding context to prompts, refining outputs iteratively, and problem solving through guided conversations. Repo: https://github.com/at1as/AI-Dojo More background: https://www.jasonwillems.com/ai/llm/2025/09/28/Introducing-A...

Visit product View on Hacker NewsSep 28, 2025

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Product HuntOn track for Day 1 leaderboard · Strong signals: context, code, open · Missing: mac, agents, macos

66%66% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

63%63% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal

53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: open source, ide, io · Missing: https docs, excited, just released

38%38% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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