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I built a Google Meet addon to fix Chat

Hacker News

I built a Google Meet addon to fix Chat

Hey HN, I built GM Pro, a Chrome extension that improves Google Meet’s chat and transcription experience, among other features. Google Meet works well for video calls, but its chat and transcription features have limitations—messages disappear when you reload, transcriptions only show the last few sentences, and there's no way to react or reply properly. GM Pro fixes this. Key Features: Enhanced Chat – Persistent history, message replies, reactions, GIF support. Transcriptions – Scrollback access, 24-hour persistence, and downloadable logs. Auto-Open Chat – No more manually opening the chat every meeting. Dark Mode – Better visibility in low-light settings. Auto Mute & Camera Control – Start meetings with your mic muted or camera off. Lobby Notifier – Get a sound alert when someone joins. Attendee Shuffling – Randomly pick participants for discussions and standups. GM Pro is designed to seamlessly integrate with Google Meet while staying lightweight and easy to use. Try It Out Would love to hear your feedback! You can check it out here: https://chromewebstore.google.com/detail/gm-pro/bfmgohplnhbl... All you need to do is install the extension, then open a new Google Meet, and you'll see the new chat UI, and you can toggle the features from the extension menu. What other Google Meet features do you wish existed?

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best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: google, new, open · Missing: mac, agents, macos
89%89% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: calls · Missing: plus, platform, intuitive
48%48% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: video, google, way · Missing: mobile apps, ios, personal
47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: exist, ide, io · Missing: https docs, excited, just released
24%24% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
19%19% 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 · 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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