Re

Real-Time Transcription and Translation

Hacker News

Real-Time Transcription and Translation

Here's something I have been using to break the language barrier. Last week, my Russian-speaking parents were visiting, and they wanted to communicate with my Portuguese-speaking girlfriend - they found my app helpful enough that they started asking me to turn it on. The app also allowed us to watch films together. Unlike many other apps that already exist (e.g., Google Translate), this one does transcription and translation in real-time, without having to wait for the speaker to pause or click the "translate" button. Unfortunately, the services I am using for transcribing (Deepgram) and translating (DeepL) are quite expensive - so you'll have to input your own API tokens for this to work. However, once you set the tokens, you can pass the URL around to less tech-savvy people so that they can enjoy the web app. The reason I settled for these expensive services because I only get reasonable enough results with these. Due to technicalities, it works best on Desktop Chrome, which uses the latest audio format for the microphone stream. The app is deployed in AWS London; I might deploy it to the USA too. Enjoy!

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Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
85%85% 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: google, apps, using · Missing: mac, agents, macos
72%72% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: exist, io · Missing: https docs, excited, just released
48%48% 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, google · 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 · Missing: plus, platform, intuitive
23%23% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: arr · Missing: mrr, revenue, profit
15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: audio · Missing: web3, chat, crypto
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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