Qu

Quizquestions.org – A free library for quiz questions

Hacker News

Quizquestions.org – A free library for quiz questions

Hey HN! I'm Salim, a content marketer, and I’m working on a website called [quizquestions.org]( http://quizquestions.org/ ). It's my project for building the biggest library of quiz questions. This is not a quiz website per se, but a library for people who make quizzes. You see, I make quizzes occasionally. There are many quiz makers, but not many resources for quizzes. And most of the resources are just blogs. So I've wanted to create a more structured website just for this. Here’s what the site offers at the moment: - A quiz card: Instead of browsing them, you can get quiz questions in a quiz format - Quiz categories: https://www.quizquestions.org/category - AI question generator: https://www.quizquestions.org/question-generator - A blog page for guides: https://www.quizquestions.org/guides - Saving questions: To use them later for creating a quiz - Sending questions: To send your own questions - Statistics about categories: https://www.quizquestions.org/statistics This is my first website, so any feedback is welcome!

Share card

Actual performance

4points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
86%86% 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.
AppSumoMay struggle as an AppSumo deal · Strong signals: occasional · Missing: plus, platform, intuitive
39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
37%37% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
35%35% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
32%32% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
12%12% 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

Qu
Quizdle – 5 daily quiz questions31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Quizdle – 5 daily quiz questions

Hacker News6
Go
Golang Client and Library for NewsAPI.org42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Golang Client and Library for NewsAPI.org

Hacker News4
De
DeepQuiz – generate quiz questions from arbitrary text43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

DeepQuiz – generate quiz questions from arbitrary text

Hacker News3
My
My (late) holiday hack: SOPAOpera.org51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My (late) holiday hack: SOPAOpera.org

Hacker News40
Sh
Shicray.org53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Shicray.org

Hacker News1
Sh
Show HN : YCrejects.org62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Show HN : YCrejects.org

Hacker News2
Sl
SlaveryStories.org – Memoirs from American Slaves53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

SlaveryStories.org – Memoirs from American Slaves

Hacker News178
Cr
Crushify.org53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Crushify.org

Hacker News43
Mv
Mvmnts.org53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Mvmnts.org

Hacker News1
ai
aipwn33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

aipwn.org

TrustMRRSoftware