Pl
Please Review Our Project "1 Million Valentines"
Hacker NewsPlease Review Our Project "1 Million Valentines"
For fun this Valentine's Day, a couple buddies and I decided to play around with the idea of digital Valentines. We cranked out the project in the month of January as a "nights & weekends" project. We'd love any feedback in general! Our next step is to figure a way to seed this in key communities, to see if it has any chance of taking off. The URL is www.1millionvalentines.com (or www.1MVS.com). Thanks!
Share cardActual performance
5points
16comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting69%69% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released64%64% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive50%50% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos39%39% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: month, way · Missing: mobile apps, ios, personal33%33% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue16%16% 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, crypto1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
On
One Million Sliders36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
One Million Sliders
Hacker News1On
One Million Emojis50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
One Million Emojis
Hacker News4On
One Billion Checkboxes: A Bigger Take on One Million Checkboxes57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
One Billion Checkboxes: A Bigger Take on One Million Checkboxes
Hacker News13
3 Million ESPN Brackets61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
3 Million ESPN Brackets
Hacker News1HowManyOfMes58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
See if your name is one in a million
Indie Hackers1entertainmentRe
Review my new project59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Review my new project
Hacker News5Wh
What the fuck will make me a million dollars?61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
What the fuck will make me a million dollars?
Hacker News3yo
yougotta.click, a remake of One Million Checkboxes60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
yougotta.click, a remake of One Million Checkboxes
Hacker News4Sc
Scaling Meteor to 2 Million Concurrent Users73%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Scaling Meteor to 2 Million Concurrent Users
Hacker News9Mi
Million Lint – ESLint for Performance51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Million Lint – ESLint for Performance
Hacker News8