Learnawesome.org – Open-source learning map for humanity

Hacker News

Hello HN, Over the last 12 months, I have been building https://learnawesome.org This idea came from Danny Hillis' 2012 talk at OSCON, which itself was inspired from Neal Stepehenson's _The Diamond Age : A Young Lady's Illustrated Primer_ The dream is to build a tool that matches the right learning material to the right student at the right time. Wikipedia is great, but it doesn't do a good job of leveraging the rich variety of learning resources that exist on the Web. Same applies to GoodReads - which is focused only on books, whereas these days we actually learn from videos, articles, MOOCs, tweetstorms, slack/discord groups, podcasts, livestreams, newsletters, online conferences, apps & games, interactive explorables and much more. For now, I am building it as a social network for lifelong learners. It's open-source, built with Rails + PostgreSQL, and complies with standards like Dublin Core's LRMI extension of schema.org and ActivityPub for integration with Fediverse. A GraphQL API is also available if others want to build alternative clients. I have made decent progress so far: Imported thousands of courses and book summaries, built a browser extension for quick lookup/addition to the repository, a spaced-repetition based flashcard practice module. Users can even discover learning resources by recommendations ELSEWHERE (for eg: "Show me books on History which are highly recommended by venture capitalists") I originally started building this as something to help with my daughters' and my own learning. But it made sense to build this as a public good. It would be great if you can give it a try, and share ideas on what would make it better.

Visit product View on Hacker NewsJul 10, 2020

Share card

Actual performance

216points

39comments

Made the leaderboard

Launch Intel predictions

Analyze your own launch →

Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting

95%95% 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.

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

79%79% 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 HuntOn track for Day 1 leaderboard · Strong signals: slack, apps, user · Missing: mac, agents, macos

78%78% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

46%46% 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

45%45% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

16%16% 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

Similar products

Mapedia.org – A Crowdsourced Learning Map63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Mapedia.org – A Crowdsourced Learning Map

Hacker News5

Open-source contribution learning experiment – thumbor-bootcamp53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Open-source contribution learning experiment – thumbor-bootcamp

Hacker News5

Mathify77%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Open-source learning for mathematics

Product Hunt+7

ustaxes.org – open-source tax filing webapp62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

ustaxes.org – open-source tax filing webapp

Hacker News465

Open-Source Interactive Eclipse Map67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Open-Source Interactive Eclipse Map

Hacker News4

DanswerChat – open-source GPTs with access to your org's knowledge63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

DanswerChat – open-source GPTs with access to your org's knowledge

Hacker News14

iBurn 2014 – Open Source Burning Man Map and Guide60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

iBurn 2014 – Open Source Burning Man Map and Guide

Hacker News14

OpenFreeMap – Open-Source Map Hosting85%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

OpenFreeMap – Open-Source Map Hosting

Hacker News848

The Open Source Deep Learning Glossary76%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The Open Source Deep Learning Glossary

Hacker News2

activist.org – Open-source, nonprofit activism platform71%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

activist.org – Open-source, nonprofit activism platform

Hacker News8

Browse all products Analyze your launch