I
I built a quizlet clone in 2 hours
Hacker NewsI built a quizlet clone in 2 hours
Quizlet, a popular tool among high schoolers and college students used to study for tests recently made it's core functionality paid. In an era where Autodesk, Adobe, and Microsoft hold their proprietary software to their chests, it's exciting to see opensource alternatives come to compete with them. I'm 15, and I'm excited to do my part to keep education free for everyone. https://openlearn.vercel.app
Share cardActual performance
10points
12comments
Made the leaderboard
Launch Intel predictions
Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting56%56% 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 NewsMay not resonate with HN audience · Strong signals: excited, io · Missing: https docs, just released, exist45%45% 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 · Strong signals: education · Missing: mobile apps, ios, personal43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: open · Missing: mac, agents, macos29%29% 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, intuitive26%26% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: paid · Missing: web3, chat, crypto2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Wh
Why we built a Dropbox clone in 201738%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Why we built a Dropbox clone in 2017
Hacker News2An
AnswerBrite - A Stackoverflow clone for coworkers, built with Golang47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AnswerBrite - A Stackoverflow clone for coworkers, built with Golang
Hacker News1Bu
Built a waifu AI generator in 4 hours36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Built a waifu AI generator in 4 hours
Hacker News16.
6.5 hours of Ember Screencasts48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
6.5 hours of Ember Screencasts
Hacker News7Go
Gocco - Docco clone in Go45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Gocco - Docco clone in Go
Hacker News1A
A mockup for my HN clone.50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A mockup for my HN clone.
Hacker News1Le
Leapcast, a ChromeCast clone45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Leapcast, a ChromeCast clone
Hacker News13Es
Escapa clone45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Escapa clone
Hacker News1An
Another 2048 clone (sorry): 2048+-/*47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Another 2048 clone (sorry): 2048+-/*
Hacker News2Ab
About.me clone made with BackboneJS45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
About.me clone made with BackboneJS
Hacker News1