Stage Captions – streaming browser audio into live event captions

Hacker News

Originally, I am .NET software engineer working corporate job with microservices on RMQ and REST APIs. But I always had the desire to experiment with some different tech on the side. After my friend shared his plans of helping facilitate medical conference which was bilingual and some of the audience members might feel missed out due to English not being their first language, I thought it's a nice opportunity to create a tool for it with my cofounder who is a frontend engineer. For me it was a chance to work with audio, ASR, accessibility and websockets - something fresh and new. Another inspiration was Formula 1 captions which I noticed during their broadcasts, which are generated in real-time. After digging a bit into underlying technology I thought to create something similar for event organisers and AV teams. Not as a replacement for human interpreters, but as a more accessible alternative to quite costly hardware options. That's how Stage Captions was built. Audio comes from browser, gets streamed via WSS to backend, goes through processing pipeline and then captions are streamed back to viewers. Those captions can be displayed on venue TVs, opened on attendees devices by scanning QR code or incorporated into a broadcast using OBS for example. Obviously, ASR and MT models are third party and not created by me, but there were still some fun challenges like scaling websockets (it was trickier than just adding one more container on load), audio processing (finding optimal chunking and buffering approach) and obviously stabilization algorithms for partial transcription / translation results. As a developer I was happy to experiment with tech stack which is different from my daily work. And as a human it felt right to build something which can make in-person events easier to follow for non-native speakers and deaf/hard of hearing attendees.

Visit product View on Hacker NewsSep 15, 2026

Share card

Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

89%89% 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: model, new, models · Missing: mac, agents, macos

79%79% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: ide, pipe, io · Missing: https docs, excited, just released

59%59% 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

44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

38%38% 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

14%14% 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Jukebox58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Audio Live-streaming

Indie Hackers2b2b

Facile.Audio – A library for live audio streaming from the browser56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Facile.Audio – A library for live audio streaming from the browser

Hacker News7

stagecaptions.io37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Stage Captions is a platform that provides real-time captions for conferences, live events, presentations, and meetings. The system broadcasts live captions to multiple viewers simultaneously making e

TrustMRRSaaS