VEXiON cards

VEXiON cards

Product Hunt

Digital loyalty cards for boosting customer engagement

Share card

Actual performance

10upvotes
1comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
75%75% 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
48%48% predicted probability of success on AppSumo, 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
44%44% predicted probability of success on Hacker News, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
28%28% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
23%23% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

UpCard
UpCard61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Digital Loyalty Cards

Indie Hackers1analytics
TurboPush
TurboPush27%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AI Digital Loyalty Cards

Indie Hackers
TurboPush
TurboPush41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AI Digital Loyalty Cards

Indie Hackerscommitment-full-time
Stamply
Stamply40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Loyalty cards on your phone

Product Hunt+91Android
JQ
JQuery Cards50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

JQuery Cards

Hacker News13
St
Stable Diffusion Pokémon Cards58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Stable Diffusion Pokémon Cards

Hacker News3
E-
E-cards51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

E-cards

Hacker News2
ShipNote
ShipNote69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Thank-you cards from your registry — printed & mailed

Indie Hackerscommitment-side-project
FaveCard
FaveCard46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Digital loyalty cards for Apple & Google Wallet

Indie Hackerscommitment-full-time
Stampz
Stampz49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Digital loyalty cards for Apple & Google Wallet

Indie Hackers