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Nomad Loot – The Best Gear for Digital Nomads

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Nomad Loot – The Best Gear for Digital Nomads

Hello friends, I recently launched Nomad Loot - https://nomadloot.com - with a friend of mine with the goal of covering gear that is useful to digital nomads. The purpose is twofold: - List the best products for each category - Discovery for less known but useful products We'd love any feedback you guys might have and please suggest your favorite products! Thank you! PS: The links to Amazon are affiliate links, we're not really counting on that to make money but it'd be nice if it paid for hosting maybe! More details in the about section.

Visit productView on Hacker NewsApr 14, 2015
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14points
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Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
69%69% 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.
AppSumoStrong fit for a featured deal · Strong signals: host · Missing: plus, platform, intuitive
52%52% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
44%44% predicted probability of success on TrustMRR, 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
37%37% 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
23%23% 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
13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: make money, paid · Missing: web3, chat, crypto
11%11% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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