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Weekly AI newsletter to reconnect to Earth

Hacker News

Weekly AI newsletter to reconnect to Earth

Research proves that >= 120 min/week of time in nature dramatically improves mental well being. This is a free newsletter that will send you an email once a week with nearby suggestions for nature adventures (hikes and POIs). This is an attempt at fixing the problem: "I want to spend more time in nature but it takes too much planning." It's easy now to make going out in nature a part of your hygiene, with curated options easy to choose from. This is built on top of a backend I'm currently building that is processing millions of hikes and POIs with machine learning to extrapolate the many insights that constitute the decision process our code goes through to send you your weekly newsletter. Hope you like it!

Visit product View on Hacker NewsOct 27, 2022

Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

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

55%55% 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.

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

53%53% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

44%44% predicted probability of success on AppSumo, 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.

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

40%40% 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

15%15% 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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