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Get an email when the price drops on any product's URL. No spam

Hacker News

Get an email when the price drops on any product's URL. No spam

Hey HN, We built https://LowLow.bot , a website (no app or extension required) that tracks price drops and restocks on your favorite products — without the need to sign up for marketing emails. Inspired by https://camelcamelcamel.com for Amazon, we wanted the same experience for any website. Some ways people use it: • Big purchases, no rush – Buy ski gear when the price drops before next season. • Recurring essentials – My partner’s pricey sunscreen? I buy it when it’s on sale. • Holiday sales – Get notified before deals disappear. • Restock alerts – Be the first to know when an item is back. Some sites may not work perfectly yet, but we’ve been using it ourselves (and saved hundreds so far). We'd love your feedback - ideas, feature requests, anything. Thanks!

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
90%90% 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: email, using · Missing: mac, agents, macos
68%68% 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
40%40% 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
38%38% 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, io · Missing: https docs, excited, just released
35%35% 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 · Strong signals: recurring · Missing: arr, mrr, revenue
13%13% 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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