GPT-Reasoning Made Translator

Hacker News

It offers a "DeepTranslate" functionality in which the model reasons before making the translation. It results in much better results, as it takes context and idiomatic expressions into account. In the future, tone (formal, informal, and custom), as well as infinite context and file translations, will be supported. Note that even if the model reasons, it does not use a reasoning model, like o1 or o3-mini! It's a manual reasoning process performed with gpt-4o-mini, which has been shown to be the best translator besides Gemini 2.0 Flash.

Visit product View on Hacker NewsFeb 27, 2025

Share card

Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

92%92% 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 · Strong signals: gemini · Missing: supports, reddit linkedin, podcasting

71%71% 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: ide, io · Missing: https docs, excited, just released

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 · Missing: plus, platform, intuitive

47%47% 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

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

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

13%13% 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

12%12% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

A Wasm to Go Translator74%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A Wasm to Go Translator

Hacker News7

leetspeak translator53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

leetspeak translator

Hacker News1

Neurallambda, Adds reasoning via differentiable Lambda Calculus51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Neurallambda, Adds reasoning via differentiable Lambda Calculus

Hacker News3

Langy – AI Translator35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Langy – AI Translator

Hacker News4

Worldbuilding Experiments with GPT-336%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Worldbuilding Experiments with GPT-3

Hacker News2

Autosummarized HN (With GPT-3)51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Autosummarized HN (With GPT-3)

Hacker News6

I composed a sonata with GPT-3 DaVinci-003 and you can too51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I composed a sonata with GPT-3 DaVinci-003 and you can too

Hacker News3

GPT Classifies HN Titles57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

GPT Classifies HN Titles

Hacker News6

Visualized GPT57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Visualized GPT

Hacker News3

Cerebras-GPT-2.7B finetuned on Stanford Alpaca dataset65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Cerebras-GPT-2.7B finetuned on Stanford Alpaca dataset

Hacker News4

Browse all products Analyze your launch