Trove
Indie HackersAutomatically find the best credit cards for your spending
We were frustrated by the hours it took to read dozens of blogs and spreadsheets to find the credit card with the highest rewards.
Share cardActual performance
2followers
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive50%50% predicted probability of success on AppSumo, 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 · Missing: https docs, excited, just released48%48% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting37%37% predicted probability of success on Indie Hackers, 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, personal35%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, macos20%20% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: reward · Missing: web3, chat, crypto18%18% predicted probability of success on BetaList, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Ki
Kinzana, Credit Cards for DAOs60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Kinzana, Credit Cards for DAOs
Hacker News1allcredit.cards48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
All US credit cards in one place!
Indie Hackerscommitment-side-projectpooptheapp57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Get serious about spending less.
Indie Hackerscommitment-side-projectWe
We built a jQuery table of credit cards55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
We built a jQuery table of credit cards
Hacker News1Ki
Killing credit cards – meet Bits, a privacy first borrowing app46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Killing credit cards – meet Bits, a privacy first borrowing app
Hacker News13Cr
Credit cards in augmented reality, made with ARKit iOS47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Credit cards in augmented reality, made with ARKit iOS
Hacker News2Ke
KeepAlive.Finance – Keep your credit cards alive53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
KeepAlive.Finance – Keep your credit cards alive
Hacker News2Ke
KeepAlive.finance – Keep your inactive credit cards alive45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
KeepAlive.finance – Keep your inactive credit cards alive
Hacker News1Futeur.AI36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The Credit Karma for Business Credit
Indie Hackerscommitment-full-timeA
A new way to find credit cards57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A new way to find credit cards
Hacker News1