Vo

VoiceTaking – Voice notes with AI-powered documents

Hacker News

VoiceTaking – Voice notes with AI-powered documents

Hello everyone, I made another voice note app with AI transcription. But, it has a Notion-like page structure with AI assistance on the editor. This makes it easy to keep your thoughts organized and find what you need quickly. The use cases: - Brainstorm ideas anytime, even without your hands - Create a meeting report document with the team - Conversation summary - It’s my personal case , sometimes when I talk importantly with someone I need to take a note to make me remember or get insights from the conversation It comes with the Automation workflow with smart labels, which means you can tag a smart label in the document and generate everything you need eg, a daily scrum meeting report, auto elaborate the idea, and more. Here are the details: https://voicetaking.com/automation . Just it. Thank you and let me know your thoughts!

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Actual performance

4points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
72%72% 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: notes · Missing: mac, agents, macos
70%70% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: personal · Missing: mobile apps, ios, entrepreneurs
54%54% 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
32%32% 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
31%31% 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
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: smart · 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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