Ours Cards

Ours Cards

Product Hunt

Personalized couple's cards game

Share card

Actual performance

10upvotes
6comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
53%53% 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.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released
48%48% predicted probability of success on Hacker News, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: personal · Missing: mobile apps, ios, entrepreneurs
48%48% 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
32%32% 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
26%26% 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
14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

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
I
I Parsed Every Name from SSA Cards and Visualized the Data64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I Parsed Every Name from SSA Cards and Visualized the Data

Hacker News4
AI Group Cards
AI Group Cards84%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Create Personalized Greeting Cards with AI

Indie Hackerscommitment-full-time
AI Group Cards
AI Group Cards36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Create Personalized Greeting Cards with AI

Product Hunt+10
Sm
Smart Cards for Everyone51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Smart Cards for Everyone

Hacker News3
Ca
Cards Against Humanity Built with Elixir and Phoenix LV74%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Cards Against Humanity Built with Elixir and Phoenix LV

Hacker News13
Sh
Share your spaced repetition cards56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Share your spaced repetition cards

Hacker News1