Indie Valley
Indie HackersSubscription Platform for Real Startup Stories
We exist to give independent creators the real metrics, real strategies, and real community they need to build profitable, sustainable businesses. By gathering verified data and raw, unfiltered founder stories.
Share cardActual performance
1followers
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting80%80% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Hacker NewsStrong engagement from HN community · Strong signals: exist, io · Missing: https docs, excited, just released51%51% predicted probability of success on Hacker News, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews50%50% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos31%31% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: profit, profitable, subscription · Missing: arr, mrr, revenue29%29% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: profitable · Missing: mobile apps, ios, personal27%27% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
La
Landr – My First Indie Startup47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Landr – My First Indie Startup
Hacker News7La
Landr – My First Indie Startup47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Landr – My First Indie Startup
Hacker News1my
my indie music startup48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
my indie music startup
Hacker News1Indie Refinery54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Startup mentorship as a service
Indie Hackers1aiLaunchable26%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Startup/Indie Hacking Community in South Korea
Indie Hackerscommitment-side-projectIndieConf70%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Startup conference for indie companies
Indie Hackerscommitment-side-projectGhost38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Indie subscription platform for creators
Indie Hackers237$863,491/mob2bMakers Rocket49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Sharing Indie Stories and Building indie Products.
Indie Hackers1podcastingBa
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-time