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Donation-Based Livestream Yoga Classes from Local Studios and Teachers

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Donation-Based Livestream Yoga Classes from Local Studios and Teachers

https://find.yoga Hi friends, I built a searchable master schedule of yoga and meditation classes from local teachers and studios. It crawls available classes from studio schedules, and individual teachers can also add their offerings. Everything is search based so you can search for the type of class (yin, vinyasa, meditation, etc) or can search for free or donation if these are the most important factors. It's very much a work in progress but hopefully allows folks to find some options to support their physical and mental health and support local teachers and studios at the same time. Feedback very welcome, thanks for taking a look.

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Product HuntOn track for Day 1 leaderboard · Strong signals: physical · Missing: mac, agents, macos
75%75% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Strong signals: ios · Missing: supports, reddit linkedin, podcasting
58%58% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: ios · Missing: mobile apps, personal, entrepreneurs
38%38% predicted probability of success on TrustMRR, 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
23%23% 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
18%18% 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
4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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