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I Made an AI Deals Finder to Help You Find the Best Deals on Products

Hacker News

I Made an AI Deals Finder to Help You Find the Best Deals on Products

Hey HN, Do you love good bargains? I built an AI Deal Finder that checks online marketplaces (Amazon & eBay) for the best deal on any product and tells you where to get a good bargain. This is a time saver for anyone who compares prices across marketplaces like me. No more juggling between two or three websites, manually checking and comparing prices, let BestOfferAI do this for you. I hope this tool will be as helpful to you as it is to me. I would love your feedback, please.

Visit product View on Hacker NewsJul 21, 2024

Actual performance

2points

4comments

Did not reach leaderboard

Launch Intel predictions

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

63%63% 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.

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

43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

35%35% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

34%34% 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

25%25% 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

15%15% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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