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A booking website specifically for digital nomads

Hacker News

A booking website specifically for digital nomads

I built this to fix one of the most annoying problems I face as a digital nomad: I have to spend a lot of time each month to find my next place. And it's not as simple as just booking an accommodation. I need to figure out the best area in a given city without ever having been there. Then I need to find a good accommodation + co-working space + gym. I have to make sure they all fit in my budget and are in walking distance from another. This website automates that whole process. I just plug in my requirements and it creates a package that has everything I need. I limited it to Bangkok for now because I manually collect the data for gyms and co-working spaces. Haven't found a good API yet that doesn't cost a fortune. But I'll expand soon if I get some positive feedback. Would love to hear your thoughts!

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Actual performance

3points
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.
TrustMRRLess likely to generate early MRR · Strong signals: month · Missing: mobile apps, ios, personal
44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: soon · Missing: plus, platform, intuitive
43%43% 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
41%41% 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: io · Missing: https docs, excited, just released
35%35% 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
13%13% 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
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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