Le
Learn-Awesome (curated lists of links to learning resources)
Learn-Awesome (curated lists of links to learning resources)
Share cardActual performance
7points
Made the leaderboard
Launch Intel predictions
Analyze your own launch →70%70% predicted probability of success on BetaList, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
56%56% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
56%56% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.
21%21% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
14%14% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Sh
Show HN : reSRC.io - curated lists of learning resources67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Show HN : reSRC.io - curated lists of learning resources
Aw
Awesome CTF – A curated list of CTF libraries, resources and softwares64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Awesome CTF – A curated list of CTF libraries, resources and softwares
A
A curated list of awesome lists59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A curated list of awesome lists
Aw
Awesome-python – Curated list of awesome frameworks,libraries&resources65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Awesome-python – Curated list of awesome frameworks,libraries&resources
Versa53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Curated resources for self learning versatilists.
OSINTGuide51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A Curated list of resources, to learn everything about OSINT
Homeskoolers31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Curated homeschoolers resources vetted by homeschoolers
Aw
Awesome Home Assistant – A curated list of HA resources59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Awesome Home Assistant – A curated list of HA resources
A
A curated list of amazingly awesome Home Assistant resources59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A curated list of amazingly awesome Home Assistant resources
JS
JSArray – curated links of JavaScript resources54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
JSArray – curated links of JavaScript resources