Open-Source AI Templates to help you build your next product

Hacker News

Today, we're launching AI Templates at Metaschool: a curated collection of open-source, in-demand AI product templates. We've spent months identifying the hottest product ideas and the best ways to build them using AI. Everything is 100% open source—fork, clone, and start building immediately. Our hope is that these templates will help you spin-off your own product and start your business without a big team or large investment. We're starting with 17+ templates, which can spawn around 1700 unique products. For example - 1. Customer Service GPT: Provide a website link and instantly spin up a support chatbot. Add a payment gateway, and you can sell this solution to local businesses. 2. FlashCard GPT: Convert any information into flashcards for easy learning and recall. Perfect for schools, tutoring centers, or direct-to-consumer learning tools. 3. Finance GPT: Input financial goals and get a tailored investment or savings plan, plus a dashboard to track progress—ideal for anyone looking to improve their finances. Check out our free, open-source templates here: https://metaschool.so/templates and let us know what you think. As always, we love our open-source community and all they contribute.

Visit product View on Hacker NewsDec 16, 2024

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

78%78% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

60%60% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: open source, ide, io · Missing: https docs, excited, just released

52%52% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: month, way · Missing: mobile apps, ios, personal

42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

34%34% 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

19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: chat, finances · Missing: web3, crypto, cryptocurrency

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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