Building the next-generation learning experience

Hacker News

If you reflect a bit on how you learn, you will probably find that in order to acquire a skill or some level of expertise on a subject, you take 5 steps that make up your learning behaviour. 1. You find the learning materials for the subject. 2. You input these materials into your brain through reading and listening. 3. You process the new information through memorising and associating in order to construct a new thinking model. 4. You practise by solving problems that are designed for learning, or by having basic conversations in the case of learning languages. 5. You apply the new skill you just acquired and start creating values for the world with it. What Astrasum does is that we are hacking learning. We want to accelerate your learning by helping you become better and better at each one of these steps with our technology and growing community. We are still working to integrate AI and VR into our features, but they are already pretty cool. Try it out and if you find it helpful or fun, please share it with your friends as well! https://astrasum.com

Visit product View on Hacker NewsSep 17, 2020

Share card

Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

70%70% 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

67%67% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

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

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

38%38% 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 · 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Veseel.io The Next Generation of App Building68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Veseel.io The Next Generation of App Building

Hacker News3

Sreeducation – Cloud Learning Experience in 3D59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Sreeducation – Cloud Learning Experience in 3D

Hacker News1

An Attack on Titan Experience Made with ThreeJS42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

An Attack on Titan Experience Made with ThreeJS

Hacker News2

Voen48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Contactless dining experience.

Indie Hackerscommitment-full-time

Building on Elixir pipes with result monads71%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Building on Elixir pipes with result monads

Hacker News2

I'm building a webapp for serious cyclists56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I'm building a webapp for serious cyclists

Hacker News66

We are building an Uber for laundry55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

We are building an Uber for laundry

Hacker News3

I'm filming the folks building a lunar elevator74%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I'm filming the folks building a lunar elevator

Hacker News1

Building @SouthBotFunWest, a Twitterbot That Recommends SXSW Parties63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Building @SouthBotFunWest, a Twitterbot That Recommends SXSW Parties

Hacker News1

100M building permits mapped across the U.S67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

100M building permits mapped across the U.S

Hacker News27

Browse all products Analyze your launch