High Heels with Shock Absorption

Hacker News

I know, you may think this is not applicable to you. But if you just take a second, at least one women comes to your mind who loves to wear heels but cannot since they are extremely painful or who still wears and bears the pain with a brave face. Aider shoes, http://aidershoes.com, has redesigned the high heels shoes with a stable shock absorber that will help reduce the impact on feet and help distribute the weight better across the feet. The heels still offer the same height benefit that users love to have, with reduced pain. As we progress, we will make multiple designs implementing the idea to meet user's design expectations. We are getting ready to launch in a few weeks with a generic model that introduces shock absorption in high heels to women everywhere. It would be extremely helpful if you share our product details with your friends and family who you think would love to try and get benefited. Our social media handle is below. Not sure if it is acceptable to ask for followers here. https://twitter.com/AiderShoes Any feedback is highly appreciated. Cheers. Pradeep.

Visit product View on Hacker NewsAug 7, 2019

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Actual performance

2points

Did not reach leaderboard

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

90%90% 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.

Product HuntOn track for Day 1 leaderboard · Strong signals: model, user · Missing: mac, agents, macos

66%66% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

51%51% 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 · Strong signals: users · Missing: plus, platform, intuitive

48%48% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: introduce · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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