AntiPerfume – Organic Social Distancing

Hacker News

While vacationing in Puerto Rico I discovered a new organic non-GMO and Free Trade formula to promote social distancing. This may be generated in two ways (a) the lack of showing and may be facilitated with physical exertion or (b) using wipes from someone that has organically incubated the perfume from scenario (a). This natural perfume exudes the body to create a radius of discomfort for those in the proximity, the distance of which may be controlled by the duration of the incubation period and can reach up to six feet. My thoughts are to package and sell this with distribution to major retailers

Visit product View on Hacker NewsJun 21, 2021

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: new, physical, using · Missing: mac, agents, macos

66%66% 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.

TrustMRRFits verified-revenue profile · Strong signals: way · Missing: mobile apps, ios, personal

59%59% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

57%57% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: 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 · Missing: plus, platform, intuitive

44%44% 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

16%16% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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