anVendor
A unique way to see subscriptions of any company
I found a way to verify what a company actually subscribes to. And I created a lead generation tool that uses this.
Share cardActual performance
1followers
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →60%60% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
44%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.
35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.
31%31% predicted probability of success on Hacker News, based on ML models trained on real launch data.
29%29% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
8%8% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
anVendor23%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Scan a company, see its subscriptions
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
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
Strikkes54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
An IT company selling subscriptions to yarn and accessories
Ga
Gazétor – A unique newspage selected for you47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Gazétor – A unique newspage selected for you
We
We made a way to earn subscriptions by having your computer turned on60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
We made a way to earn subscriptions by having your computer turned on
Su
Subtrack – Track Subscriptions27%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Subtrack – Track Subscriptions
Fu
FuseOrder – Hack your company dining46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
FuseOrder – Hack your company dining
Co
Company-wide Dotfiles50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Company-wide Dotfiles
Th
The Screencast Company44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The Screencast Company