Ke

KeepAlive.Finance – Keep your credit cards alive

Hacker News

KeepAlive.Finance – Keep your credit cards alive

keepalive.finance is a stupid simple project I made in one night to keep my credit cards alive and I figured I’d share it. It’s just a Stripe subscription that bills you $1 every 6 months so that your account doesn’t get closed

Share card

Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
69%69% 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 NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
53%53% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntOn track for Day 1 leaderboard · Strong signals: stripe · Missing: mac, agents, macos
52%52% 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, intuitive
49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: month · Missing: mobile apps, ios, personal
42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
31%31% predicted probability of success on BetaList, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: subscription · Missing: arr, mrr, revenue
15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Ke
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 News1
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 News1
allcredit.cards
allcredit.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-project
We
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 News1
Ki
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 News13
Cr
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 News2
Orki Finance
Orki Finance30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Permissionless credit protocol on Swell Network

Product Hunt+6
Ke
Keep your Heroku app alive31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Keep your Heroku app alive

Hacker News3
Futeur.AI
Futeur.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-time
A
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