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XPlant – Track, optimize and iterate your plants like code

Hacker News

XPlant – Track, optimize and iterate your plants like code

I’ve been working on xPlant, a dashboard for managing plant tissue culture projects. It’s designed like a “GitHub for plants” — you can track growth, experiment with different media, and iterate on your cultures over time, similar to versioning code. The goal is to give hobbyists, researchers, and growers a tool to see what works, optimize conditions, and learn from past experiments. I’d love feedback from anyone who experiments with plants or cares about reproducible growth data.

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Product HuntOn track for Day 1 leaderboard · Strong signals: code · Missing: mac, agents, macos
71%71% 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 · Missing: mobile apps, ios, personal
59%59% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
47%47% 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: io · Missing: https docs, excited, just released
41%41% 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 · Missing: plus, platform, intuitive
31%31% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: growth · Missing: arr, mrr, revenue
17%17% 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.

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