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VoiceInk and Workflows, a local mini-Siri [video]

Hacker News

VoiceInk and Workflows, a local mini-Siri [video]

The great VoiceInk app is open-source, so I hacked (using Claude) a small MVP for a "Workflow" feature, you can see the code here: https://github.com/Beingpax/VoiceInk/pull/19 This is a bit a "create your own Siri" open-source app that everybody can use! Check it here in video: https://www.youtube.com/watch?v=GGYOzsknk-k VoiceInk uses Whisper (on-device) and ChatGPT (if requested) to analyze your speech, and my extension allows people to register actions for each command So for instance you can say "Send an email to Fred about the meeting tomorrow, I will be 10 min late" and BOOM, it opens your Mail with the fields pre-filled Or any kind of action on your laptop (really: anything you can write as a shell script) See the image https://imgur.com/a/jHtY3UF and video https://imgur.com/a/jmD74dH For now it's not yet merged in VoiceInk, and it would probably need the main author of VoiceInk to work a bit on the feature, but it totally works and it's really cool! It's quite straightfoward to build it yourself if you want to try in the meantime, check rough instructions here: https://github.com/Beingpax/VoiceInk/issues/17#issuecomment-...

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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: claude, email, chatgpt · Missing: mac, agents, macos
91%91% 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
67%67% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
57%57% 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: video · Missing: mobile apps, ios, personal
46%46% 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
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
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: chat · Missing: web3, crypto, cryptocurrency
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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