Garden Planting Reminders via Email

Hacker News

As a gardener, I frequently forget when to put things in my garden. My pepper seeds are always started too late and I get too excited to plant on the first nice day even if it's not the ideal team for every plant. So I built a little tool where you can enter your zip to find your frost dates (or if you're outside the US, you can manually add your frost dates). Then you can pick from a list of various veggies, herbs, and fruits to track. When you track something, the site will send reminders via when it's time to plant, transplant, or sow them and in what season. You can also find ideas for what else can be going into the ground or seed starters in your area now. Hope it helps make gardening a little bit easier this season!

Visit product View on Hacker NewsMar 7, 2024

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

73%73% 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.

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

68%68% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

53%53% 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

47%47% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: excited, ide, io · Missing: https docs, just released, exist

44%44% 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 · Missing: arr, mrr, revenue

18%18% 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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