Re

Resilience Index

Hacker News

Resilience Index

Hi all, I'm Amor, founder of skara.ai. I broke my neck in 2012 and have been obsessed with human resilience ever since. We're solving (self-imposed) overexertion for knowledge workers. We're building a voice assistant that prompts you with guided healthy practices. Think of a Tamagotchi that takes care of you :) #daretoask: 2 minutes of your time: Try the Resilience Index on www.skara.ai and tell us about your experience before we launch on product hunt. Feedback and criticism is highly appreciated —> calendly.com/amor-muto Stay Energized, A

Visit product View on Hacker NewsJan 10, 2023

Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

80%80% 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 HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

42%42% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

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: ide, 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.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

35%35% 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

20%20% 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

5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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