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Get the Best Deal on Products You Want, an Uber for Annoying Searches

Hacker News

Get the Best Deal on Products You Want, an Uber for Annoying Searches

http://skanout.com/ Submit a link to a product you want, the price it currently is, and the price you want it for--we'll run a search for you, for as long as you want. And we'll send you a link to the best deal we find, no strings attached. Background of the idea: Search is at the heart of our everyday lives. But there is such a thing as annoying searches. Think about when you want a certain product but it is too expensive. You probably try all the different websites that sell that product but then realize you will have to do this everyday to see if the price comes down. It is annoying and quite frankly, a waste of your time. We're trying to solve this problem and perform these searches for you. Any and all feedback to the website, service, or anything else would be greatly appreciated! Thanks in advance :)

Visit product View on Hacker NewsJul 7, 2014

Actual performance

5points

9comments

Did not reach leaderboard

Launch Intel predictions

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

92%92% 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.

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

58%58% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

46%46% 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

33%33% 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

28%28% 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

14%14% 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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