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Berseo – A rental marketplace for ebikes escooters and other vehicles

Hacker News

Berseo – A rental marketplace for ebikes escooters and other vehicles

Hi everyone! Berseo is a rental marketplace for personal electric vehicles like ebikes, escooters and EUCs. I came across the problem after travelling to Philadelphia. There are no on street rentals. The only way I was able to get around the city was by car, by foot or borrowing my friend's ebike. Borrowing the ebike turned out to be great! So I decided to build a rental marketplace for personal electric vehicles. Even if you don't own an ebike or escooter or you aren't interested in listing your vehicle right now I would love to hear your feedback! Also feel free to ask any questions about electric vehicles.

Visit product View on Hacker NewsAug 24, 2022

Actual performance

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1comments

Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

74%74% 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 · Missing: mac, agents, macos

51%51% predicted probability of success on Product Hunt, 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

49%49% 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: personal, way · Missing: mobile apps, ios, entrepreneurs

44%44% 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

39%39% 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

11%11% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · 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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