Subzero

Subzero

Product Hunt

Freeze the subscriptions you forgot you're paying for

Share card

Actual performance

5upvotes
1comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
76%76% 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.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
50%50% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: subscription · Missing: arr, mrr, revenue
48%48% 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: io · Missing: https docs, excited, just released
34%34% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
30%30% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
15%15% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

StackTidy
StackTidy38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Stop paying for subscriptions you forgot about

Indie Hackers1b2b
Subsavio
Subsavio47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Stop Paying for Unused Subscriptions

Indie Hackers1finance
Subveris
Subveris28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Stop paying for unused subscriptions

Product Hunt+3
Subs.Watch
Subs.Watch19%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Stop paying for subscriptions you forgot you had.

Indie Hackerscommitment-side-project
SUBSKRYBD
SUBSKRYBD28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Stop Paying for Subscriptions You Don't Use

Indie Hackers1analytics
FLIXIETV
FLIXIETV17%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

FLIXIETV Subscriptions

Indie Hackers
HiddenSubs
HiddenSubs27%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Found forgotten subscriptions

Product Hunt
I
I made a tool to ditch paying $20/month LLM subscriptions44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I made a tool to ditch paying $20/month LLM subscriptions

Hacker News7
St
Stop paying for subscriptions you don't use (solo built)22%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Stop paying for subscriptions you don't use (solo built)

Hacker News1
PixelForge AI
PixelForge AI36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

16 AI tools in one platform. Stop paying for 5 subscriptions

Indie Hackers1advertising