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ExploreHere – An AI audio story generator from the world around you

Hacker News

ExploreHere – An AI audio story generator from the world around you

While traversing the US in my van, I often stopped at historical markers hoping to uncover fascinating stories and history. More often than not, I was met with dry or uninteresting content, leaving me searching for something more engaging. That led me to build ExploreHere - An audio storytelling app that tells you interesting stories about where you are. On the technical side, we aggregate thousands of POI’s, historical markers, native lands, cities, interpretive signs, etc, and pass that into an AI pipeline to get rich and unique stories that are location specific. The end result; you can take a roadtrip and listen to interesting stories as you drive. We pre-populated the US with over 5,200 stories, but you can also generate your own, within the app. My co-founder and I just got it approved into the app store and are looking for feedback on the story quality and the application as a whole! Here’s a quick example of one of the stories that you’d hear as you pass into Yellowstone National Park: https://us-east-1.aws.data.mongodb-api.com/app/main-bbxrj/en...

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
65%65% 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.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
42%42% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
36%36% 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, pipe, io · Missing: https docs, excited, just released
26%26% 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
15%15% 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 · Missing: web3, chat, crypto
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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