Zu

Zukini – Simple browser grocery/reminder list

Hacker News

Zukini – Simple browser grocery/reminder list

Hi HN! Often when my wife and I try to order groceries online, we have to maintain a bit of a grocery list of items that we thought up over the week. But we also sometimes forget what's on the list when we're trying to put the order in (because it's out of sight, meaning it's often out of mind as well). I thought I just might make this simple extension to see if it's of any use to myself and others. Originally I wanted to have a shared sync functionality so that we could both just put in the same "list key" and we'd sync each other's list online, but it seems I'll have to make my own service to support that, which will come soon. If it interests you, try it out and let me know what you think! This is the first time I've ever "released" something so I hope you enjoy and/or share some feedback.

Visit product View on Hacker NewsSep 16, 2022

Actual performance

3points

Did not reach leaderboard

Launch Intel predictions

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AppSumoStrong fit for a featured deal · Strong signals: soon · Missing: plus, platform, intuitive

61%61% predicted probability of success on AppSumo, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

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

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

54%54% 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

49%49% 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

45%45% 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

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

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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