Translation in the Age of GPT

Hacker News

DeepL and Google Translate impose hard limits on the size of the pptx files that they accept, even in their paying plans. This makes pptx translation effectively impossible for office-like usage. I developed slidelang to remove this limit, but most importantly to take advantage of gpt-based translation and build a modern service : enabling the user to control the style of the translation. For instance, translating to "Spanish" or "French" is too vague, when these 2 languages have tons of regional variations. Now users can instruct the translator to adapt to these variations, with additional stylistic instructions if they want ("formal", "business like", "for a young audience"... you freely type it). Try this app and let me know what features would be useful to you? NB: the app is entirely built with Java, back and front.

Visit product View on Hacker NewsOct 22, 2024

Share card

Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

75%75% 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

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

TrustMRRFits verified-revenue profile · Strong signals: google, users · Missing: mobile apps, ios, personal

55%55% predicted probability of success on TrustMRR, 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

41%41% 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: users · Missing: plus, platform, intuitive

33%33% 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

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

Similar products

Predicting Skeletal Age47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Predicting Skeletal Age

Hacker News4

IMDb Age47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

IMDb Age

Hacker News2

Weltschmerz by age47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Weltschmerz by age

Hacker News72

Age of AI Conference34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Age of AI Conference

Hacker News5

Translation module for AngularJS25%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Translation module for AngularJS

Hacker News6

RAVIRA19%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Translation that respects terminology

Indie Hackerscommitment-full-time

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

Browse all products Analyze your launch