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Nerative – Interactive Audio

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Nerative – Interactive Audio

Hi HN, This is Curtis from nerative (https://apps.apple.com/us/app/blood-baron/id1566788200) We make immersive audio-stories where users are in control of the nerative (think an audiobook meets choose-your-own-adventure). Although interactivity is popular in visual space (Netflix's "Bandersnatch", Tinder's "Swipe Night", and Minecraft: Story Mode), we saw a gap in the audio space. Myself and Co-Founder have both been working in games and entertainment for a combined 15 years and our goal is to offer people control over their experience through short, branching audio-stories. We just launched on the app store and are looking for as much feedback as possible on our MVP as we continue to iterate. Thanks for taking the time to read and please feel free to drop me a comment or message. Always happy to chat. -Curtis

Visit productView on Hacker NewsJun 8, 2021
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3points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
91%91% 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: apple, apps, user · Missing: mac, agents, macos
76%76% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
58%58% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Strong signals: apps, users, way · Missing: mobile apps, ios, personal
52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive
32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: active · 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: chat, audio · 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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