Readefine
Indie HackersSearch. Save. Discover.
I’ve always disliked sites and apps providing the generic, “other users also read,” as recommendations. The best recommendations are based on plot, character development, and the like. Now, AI can do that heavy lifting.
Share cardActual performance
1followers
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: apps, user · Missing: mac, agents, macos65%65% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
TrustMRRFits verified-revenue profile · Strong signals: apps, users, way · Missing: mobile apps, ios, personal61%61% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting44%44% 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 NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released43%43% predicted probability of success on Hacker News, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive41%41% 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, revenue17%17% 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, crypto2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
SAVE SC14%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Snapchat Downloader - Save Discover, Stories, Spotlight
Product Hunt+3Sa
Save Your Bookstore40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Save Your Bookstore
Hacker News3Sa
Save yourself from GameofThrones (or any other) spoilers38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Save yourself from GameofThrones (or any other) spoilers
Hacker News1
Spree39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Save on every Spree
Product Hunt+2Di
Discover Websites and Search37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Discover Websites and Search
Hacker News1
OOTT
Discover the nightlife
BetaListDi
Discover HaxeFlixel50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Discover HaxeFlixel
Hacker News17Ba
Baytyab – (Re)discover couplets in classical Persian poetry54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Baytyab – (Re)discover couplets in classical Persian poetry
Hacker News2Pr
ProNoise, where "the Masses Discover and Musicians Succeed."34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
ProNoise, where "the Masses Discover and Musicians Succeed."
Hacker News2(R
(Re)discover Lorenz attractors50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
(Re)discover Lorenz attractors
Hacker News2