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Integrative Wellbeing Club by Lila Life

Hacker News

Integrative Wellbeing Club by Lila Life

Hi, I am Linda Andrews, the Founder & CEO of Lila Life. I have paired together some different 3rd party tools to bring together Lila Life- an Integrative Wellbeing Club. Teachings & practices are shared based on the Integrative Coaching proprietary methods. You can use Insider for free access. This is also a 22 day free trial. I want to take these functions and build inhouse for founding team. It will be B2B2C Workplace Wellness Saas. I appreciate insights and feedback. Thank you! The membership will have teachings & practices from other practictions, business management software for coaches & healers to run their practice and affiliate/retail partners in the wellbeing space. Partnerships crucial for distribution. Thoughts on launching with 3rd party tech or building out in house I would love to hear. Thanks!

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Actual performance

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Launch Intel predictions

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Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
55%55% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
47%47% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
45%45% 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
41%41% 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
24%24% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: saas · Missing: arr, mrr, revenue
23%23% 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
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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