Nodeland, an Alternative to Obsidian

Hacker News

Hello, HN! Have you ever considered that you might be a visual thinker? A lot of studies emphasize the benefits of visual thinking in learning, as it activates different parts of the brain and enhances comprehension and retention. It is common, for example, to remind yourself of a concept by visualizing the page where you wrote it down. This is because the brain is more likely to remember visual information than text. Unlike traditional linear note-taking apps like Notion and Evernote, NodeLand introduces a revolutionary connection-based model. Everything you write is seamlessly integrated into a dynamic mind map, fostering a more natural and effective learning process. I created this webapp called https://nodeland.io and I would love to hear your feedback on it!

Visit product View on Hacker NewsJul 29, 2024

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Actual performance

2points

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Launch Intel predictions

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

87%87% 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.

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

76%76% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

76%76% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

47%47% 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

40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

11%11% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: introduce · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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