Barkeeper.ai – Discover&create cocktails with Alfredo,your AI bartender

Hacker News

Rediscover the world of cocktails with barkeeper.ai and Alfredo, your friendly AI bartender who’s with you every step of the way. Highlights: ⋅ Massive cocktail library with thousands of recipes, from timeless classics to creative modern mixes. ⋅ AI-powered cocktail creation: Alfredo invents new drinks in seconds based on your ingredients or taste. ⋅ Ingredient search: Find cocktails you can make with what’s already in your bar. ⋅ Favorites & collections: Save and organize your favorite drinks effortlessly. Whether you’re a pro mixologist or a home bartender, with Alfredo and barkeeper.ai you’ve always got inspiration, knowledge, and a smile by your side.

Visit product View on Hacker NewsSep 26, 2025

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Product HuntOn track for Day 1 leaderboard · Strong signals: new · Missing: mac, agents, macos

84%84% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

TrustMRRFits verified-revenue profile · Strong signals: way · Missing: mobile apps, ios, personal

67%67% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

53%53% predicted probability of success on Indie Hackers, 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

38%38% 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 · Strong signals: friendly · Missing: plus, platform, intuitive

38%38% 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

12%12% 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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