Joinatutor
Indie HackersSubscription Video Classes on Amazing Topics.
Our hashtag is #changeeducation. We find amazing knowledge fields and work with the best teachers to create subscription video channels (only mini sized videos).
Share cardActual performance
3followers
$2,000MRR/mo
Made the leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto65%65% predicted probability of success on BetaList, 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 · Missing: mac, agents, macos57%57% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting52%52% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Strong signals: video, education · Missing: mobile apps, ios, personal52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: subscription · Missing: arr, mrr, revenue27%27% predicted probability of success on Acquire.com, 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 released22%22% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
He
Here is what can be done in 64kb (Amazing intro)48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Here is what can be done in 64kb (Amazing intro)
Hacker News1I
I made an app to track video topics daily36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I made an app to track video topics daily
Hacker News1Ta
TagOverflow - Stack Overflow topics visualized56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
TagOverflow - Stack Overflow topics visualized
Hacker News1De
Deploying Elixir – Advanced Topics56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Deploying Elixir – Advanced Topics
Hacker News2Da
DailyGameChanger, 1 amazing video emailed at random time during workday28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
DailyGameChanger, 1 amazing video emailed at random time during workday
Hacker News2Ba
Bamboo Toothbrush Subscription27%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Bamboo Toothbrush Subscription
Hacker News1Subastian40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The Subscription Conductor
Indie Hackerscommitment-full-timeVellabox57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The Artisan Candle Subscription
Indie Hackerscommitment-full-timeExploding Topics34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
We surface rapidly growing topics before they take off.
Indie Hackers39analyticsI
I grouped HN by topics, so you don‘t have to52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I grouped HN by topics, so you don‘t have to
Hacker News11