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Hi everyone, I have just launched a side project of mine called "Startup Insider". What is it? A free weekly newsletter with links to quality hand-picked articles about startups, entrepreneurship and up-to-date industry insights. Target group: For anyone working / or interested in online entrepreneurship. Why? I'm following numerous resources like HN, blogs, social media and mailings. It's a huge amount of daily content. Business model: Startup Insider = Non-profit. Just a motivating way for me to stay up-to-date with quality work-related content and helping others by providing it. Experience: Personally I start the weekend with a good cup of coffee and some quality reading material. Startup Insider is the digital guide for quality readings. Interested? Subscribe for free! I'm looking forward to hear your feedback.

Visit product View on Hacker NewsAug 28, 2013

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Actual performance

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Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · 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.

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

51%51% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

41%41% 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

35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

34%34% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

12%12% 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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