Blink – AI Shopping Assistant for Amazon (Beta Launch)

Hacker News

Hey everyone, I wanted to share something cool I've been working on lately - Blinkn.shop, a slick new way to supercharge your Amazon shopping experience. Being an online shopping enthusiast, I've often found myself lost in the Amazon jungle, searching for that perfect item. Frustrated with the process, I decided to create something that could make this a whole lot easier. And that's how Blinkn.shop was born. Blinkn.shop isn't your usual shopping tool. It's designed to be your shopping buddy, helping you find what you're looking for with minimal hassle. Stay tuned for more updates on how Blinkn.shop can simplify and elevate your Amazon shopping. Your feedback and thoughts are what will truly bring this journey to life! Give a try here - https://blinkn.shop?beta

Visit product View on Hacker NewsAug 11, 2023

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

71%71% 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: new · Missing: mac, agents, macos

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

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

45%45% 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

27%27% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide · Missing: https docs, excited, just released

26%26% 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

9%9% 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

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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