StackTidy

StackTidy

Indie Hackers

Stop paying for subscriptions you forgot about

I'm an IT Manager. Found $4k/year in subscriptions nobody was using. Spreadsheets didn't scale. Enterprise tools were overkill. Built what I needed

Share card

Actual performance

1followers
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
66%66% predicted probability of success on Hacker News, 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
47%47% 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
46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: using · Missing: mac, agents, macos
42%42% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
39%39% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Strong signals: subscription · Missing: arr, mrr, revenue
38%38% 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, crypto
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

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
Subzero
Subzero30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Freeze the subscriptions you forgot you're paying for

Product Hunt+5
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
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
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