Jooseph – Playlists for Learning

Hacker News

Hello HN, Every time I tried to learn new subject through internet. I am confused by the resources. - Which one will worth my time? - which ones are reliable or relevant? Eventually I open infinite amount of tabs and close them without browsing. Finding right material and resource is hard in this era. Yet we believe lifelong learning is a meaningful way to live your life. I'm Firat co-founder of Jooseph: https://www.jooseph.com/ Jooseph is basically playlist for learning. You can follow modules curated from different resources. You can also your learning journey to guide other users. Curate list of resource and share on the relevant topic. If you're an infinite learner, we would like to hear from you. Thank you HN community.

Visit product View on Hacker NewsFeb 10, 2020

Share card

Actual performance

16points

6comments

Made the leaderboard

Launch Intel predictions

Analyze your own launch →

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

70%70% 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 · Missing: https docs, excited, just released

59%59% 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 HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

50%50% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

38%38% 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 · Missing: web3, chat, crypto

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

Correct prediction on native model

Similar products

Jooseph – Playlists for Learning52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Jooseph – Playlists for Learning

Hacker News1

Jooseph – Playlists for Learning52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Jooseph – Playlists for Learning

Hacker News3

Chronolists33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Chronological Plex playlists

Indie Hackers1content

findmusic.ai61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Predictive Playlists, Made for You

Product Hunt+118Music

Playlists for Learning – Curated Learning Paths52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Playlists for Learning – Curated Learning Paths

Hacker News1

Nabu26%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Playlists for media

Indie Hackers1news-magazines

SayJay, crowdsourced playlists for your businesses41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

SayJay, crowdsourced playlists for your businesses

Hacker News1

Quantifying Learning54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Quantifying Learning

Hacker News2

I’

I’m still learning54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I’m still learning

Hacker News4

Learning SICP with Understudy54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Learning SICP with Understudy

Hacker News109

Browse all products Analyze your launch