Contentlist – Database of curated books, blogs, vid, pods for founders

Hacker News

If you love learning from books, blogs, podcasts, this will interest you. Over the last 6 years building two startups I have spent hundreds of hours learning from content to improve as a founder. It's been difficult to know what the best resources are for improving a particular skill; like sales, product, management etc. Google returns SEO optimized junk. GPT returns middle of the road advice. News feeds push random content. You will never find the exotic blog post written by a 3x founder who successfully solved the problem you're facing right now. But it's out there. And you can get better ideas and make better decisions if you find it. So Contentlist is a database with the best "startup content" across books, blogs, video and podcasts that founders can use to level up. There's currently +350 resources and growing. All resources are recommended by another founder. All books have a high level summary of the key ideas you can use to screen a book or as notes for a book you already love. Use it e.g. if you are a technical founder who need to sell for the first time, there's curated list of 29 recommended books, blogs, videos and podcasts to learn from. Same for most high level skill across product, management, hiring, fundraising etc. Check out www.contentlist.io Please share your feedback! Would love to talk to you if you think the learning / improvement space is interesting or if you have thoughts on how to improve it! All the best, Emil

Visit product View on Hacker NewsDec 14, 2023

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

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

65%65% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

41%41% 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

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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.

Incorrect prediction on native model

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