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Replexica – AI-powered internationalization compiler for React (+ API)

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Replexica – AI-powered internationalization compiler for React (+ API)

Veronica and Max here, we’re building an AI-powered compiler/API for React to help ship multi-language apps faster. Our repo is at https://github.com/replexica/replexica , and the homepage is https://replexica.com . After 9 years of working in tech, we decided to go build our own projects full-time, hoping to ship a new product every month. We failed to make it work, however, we realized the importance of shortcuts when trying to get more users with limited resources. Localization always seemed like such a shortcut: we felt we could’ve onboarded many more international customers who sign up but end up leaving because they couldn’t use them in their native language. However, it really bothered us how much effort we needed to put into setting up localization using react-intl/lingui/react-i18next. It was annoying to extract translatable text from the code and then maintain translation dictionaries. We were also constantly prompt-engineering ChatGPT to produce accurate translations. We made Replexica to automatically traverse React code and understand what needs translation, removing the need to extract strings from the code. That means, you don’t spend time maintaining JSON dictionaries and just focus on shipping features. You just need to plug in Replexica Compiler. We’ve bundled Replexica API with a combination of several LLMs, to produce great translations. We’re using a prompt-engineered GPT-4 to extract the context of the product (e.g., from its website) and the “brand voice”. We’re also using a combination of Llama/GPT/Mixtral for translation. Also, the API spec is open, meaning every developer can build their own translation engine and self-host it. Replexica works seamlessly with Next.js App Router. We’re considering adding support for Next.js Pages Router and Remix.js next. We’d love to hear your feature requests! We opened our repo under the MIT license last week and launched the API. The goal is to not charge hobby and open-source projects. We make money by charging for higher usage volume and enterprise features like user permissions and support. Give it a spin: https://github.com/replexica/replexica . Let us know what you think!

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Product HuntOn track for Day 1 leaderboard · Strong signals: apps, user, new · Missing: mac, agents, macos
98%98% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
94%94% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: llama, ide, io · Missing: https docs, excited, just released
62%62% 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: apps, month, users · Missing: mobile apps, ios, personal
45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: host, users · Missing: plus, platform, intuitive
22%22% 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 · Strong signals: chat, make money · Missing: web3, crypto, cryptocurrency
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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