Logtrees – plant trees IRL and then register them digitally

Hacker News

Hello everyone. I’m here to show you logtrees.com. Plant some trees! If you’re joining me for this nice and crisp Autumn in the United States, or if it’s Spring or early Summer where you are…and if you love trees and want to take your tree planting into the digital realm, please consider taking a look at logtrees. I’m building logtrees.com as a way for people who plant trees to register their trees so they can have a digital representation of their trees. After registering the tree, you can track your care for the tree and participate in global and (upcoming) local leaderboards, metrics, achievements, and a community-wide proof of work page showcasing your work. logtrees is in pre-alpha currently but I’m sharing it now because I’m very interested in feedback of any kind on any aspect of the site. Stay tuned for a lot more features coming soon, including things to do when it isn’t planting season. This just scratches the surface of the epic roadmap I have prepared for you all. I love trees, I love Earth, and I’m interested in incentivizing fun ways to sequester more co2. Nobody said improving carbon footprints has to be boring, after all. ;D

Visit product View on Hacker NewsOct 11, 2023

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

82%82% 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.

AppSumoMay struggle as an AppSumo deal · Strong signals: soon · Missing: plus, platform, intuitive

46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal

43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

40%40% 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

38%38% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

14%14% 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.

Correct prediction on native model

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