Ex

Extension to turn Chrome into an async voice communication suite

Hacker News

Extension to turn Chrome into an async voice communication suite

VoiceLine has built a chrome extension that allows you to record, share, and play voice notes within any browser-based application. We’re using an STT model to transcribe your notes into what we call a VoiceLine, a hybrid audio-text snippet, to address the problems of conventional voice messaging. Since we’ve been in closed beta as a seed-stage startup, here’s a direct link to get access: https://app.getvoiceline.com/6b29fbc80d Our vision is to introduce a new category of professional voice communication by building our service as a layer, not yet another instant messenger like Slack or MS teams. Since the majority of collaboration happens in the browser, our first MVP has been built for google chrome. We envision this to work in collaboration tools like Jira, GitHub, G Suite, Notion, … you name it. For us, feedback right now is most valuable: Where would you like to use this? What kind of features do you miss or would you expect? How would you build the Chrome Extension going forward?

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Actual performance

16points
2comments
Made the leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: model, slack, google · Missing: mac, agents, macos
90%90% 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
77%77% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: google · Missing: mobile apps, ios, personal
50%50% 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
49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: lua, io · Missing: https docs, excited, just released
37%37% 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
20%20% 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, introduce · 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

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