Study League – The FIFA/NBA 2k for productivity

Hacker News

I'm exited to share this project I've been working on with you. Simply, it makes productivity and studying instantly rewarding and engaging from the start, increasing the chance of consistency in the long term. You can start "training sessions" which are the timers where you are meant to focused. During this, if you are studying you can take AI generated quizzes based on certain subjects. Right now its a dropdown selection of set topics as I'm not sure of the safety of allowing people to type whatever they want to the AI, but I might change that. After the training sessions, based on the time trained and the team you have built, you receive points. These points can be used to build up your team by opening packs of various rarities. With this, you feel rewarded from getting points and being productive instantly. Along with this, you can join 'leagues' which are rooms with other people to compete to be the best. Also, you can compete in real time matches against others to make your team have more worth than show. Its publicly released but I'm still improving it daily and all I would like is for people to use it and give feedback, good or bad. Thank you!

Visit product View on Hacker NewsDec 16, 2024

Share card

Actual performance

1points

1comments

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: open · Missing: mac, agents, macos

63%63% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

43%43% 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

29%29% 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

26%26% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

22%22% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: real time, reward · 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

The League of Entropy42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The League of Entropy

Hacker News2

League Warrior42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

League Warrior

Hacker News38

I Ported Rocket League to the GameBoy (Pocket)42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I Ported Rocket League to the GameBoy (Pocket)

Hacker News2

WikiStudying – Study anything41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

WikiStudying – Study anything

Hacker News2

Study Hack43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Study Hack

Hacker News2

Libre.study41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Libre.study

Hacker News3

FOCUS2Flow16%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

streamling your study

Product Hunt+4

Study League – Gamified, AI-Driven Study Platform with Instant Rewards20%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Study League – Gamified, AI-Driven Study Platform with Instant Rewards

Hacker News1

PitwallLeague43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

F1 Prediction League

Indie Hackerscommitment-side-project

I made a website for league streamers using Meteor54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I made a website for league streamers using Meteor

Hacker News2

Browse all products Analyze your launch