A Production-Ready Multilingual Next.js 15 Starter Template

Hacker News

Hi, Jude here I’m excited to share Next Forge, an open-source Next.js 15 starter template I built to tackle the challenges of creating multilingual websites. I was struggling to build multilingual websites that are both SEO-friendly and maintainable. I'd been looking for a well-structured starter template with multilingual support and a blog system. The existing solutions couldn't fully address my needs. After diving deep into next-intl and upgrading my own starter template, this new solution was born. Hope you'll enjoy this starter template with its clean code, clear documentation, and easy extensibility!

Visit product View on Hacker NewsFeb 19, 2025

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Actual performance

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Did not reach leaderboard

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

51%51% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: excited, exist, existing · Missing: https docs, just released, lua

49%49% 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 · Strong signals: friendly · Missing: plus, platform, intuitive

46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: new, code, open · Missing: mac, agents, macos

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

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

17%17% 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

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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