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Wabi – Affordable wellness services with Latam pros

Hacker News

Wabi – Affordable wellness services with Latam pros

Thanks for checking out wabi! wabi finds you a wellness professional based on your needs. Whether you need a trainer, a nutritionist, or a coach, we search for the best fit for you at least 30% cheaper than what you are used to finding. We are 3 Colombians that have lived in the US and found it really hard to access wellness professionals, like a personal trainer or a psychologist, because their prices were very expensive for us. As founders and builders, we find it vital to take care of our mental and physical health to be at our max potential, so affordable access to these services is a must-have. We also found that some of our peers, mostly Latinos, hired these services from professionals based in Latam. Their services are high-quality and the prices are way lower than what we found while living abroad. In our landing, you’ll find a couple of professionals we have personally worked with and highly recommend. If you want to connect with them, just text us. If you don’t find what you want, also just text us with what you are looking for and we’ll get back to you with other professionals. Feel encouraged to give us your feedback, experiences, questions, etc. Every comment is very well received.

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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
83%83% 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.
AppSumoStrong fit for a featured deal · Strong signals: builder · Missing: plus, platform, intuitive
51%51% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: personal, way · Missing: mobile apps, ios, entrepreneurs
41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: physical · Missing: mac, agents, macos
37%37% 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
36%36% 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
14%14% 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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