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Score App – Visual Search Tool for Finding Cheaper Alternatives Online

Hacker News

Score App – Visual Search Tool for Finding Cheaper Alternatives Online

Hello HN, I’m Sidwyn and I built a Chrome extension called Score. Score searches the web to find you similar, better options for cheaper. It analyzes product images as you browse, finds visually similar items, and sorts them by price or similarity. This lets you discover affordable options. I started Score when I discovered my friend’s identical TV stand had cost >50% less – and so the idea popped into my head. If I could auto-image search as I browsed the web, I could probably save a ton of money. So I created Score. And I’ve saved a few hundred dollars since. Score works really well for fashion and furniture. I’d love for you to give it a try and share feedback!

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Indie HackersFits the IH revenue-focused audience · Strong signals: created, started · Missing: supports, reddit linkedin, podcasting
78%78% 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: visual · Missing: mac, agents, macos
57%57% 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
53%53% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
51%51% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
31%31% 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 · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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