Blooom.love
Indie HackersSwipe less. Do more. Connect better.
I created Blooom.love after getting burned out by endless swipes and dead-end chats. Most people want real connection through shared experiences — so Blooom puts the date first, not the profile.
Share cardActual 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 released58%58% 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.
Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting51%51% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos48%48% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue22%22% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Admesio44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A better way to connect publishers and advertisers
Indie Hackers1advertising
Love Swipe48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Truth or Dare for Couples
Product Hunt+5Su
Superboost – Love Hacking for OkCupid59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Superboost – Love Hacking for OkCupid
Hacker News9I
I love it Vapor-ware at its finest47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I love it Vapor-ware at its finest
Hacker News2Ha
Hall of Fame – Show some love to your contributors45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Hall of Fame – Show some love to your contributors
Hacker News5Wh
Why We Love Giveaway (And You Should, Too)39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Why We Love Giveaway (And You Should, Too)
Hacker News1We
We Love Golang33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
We Love Golang
Hacker News19Houseplant Love45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
For the love of houseplants
Indie Hackerscommitment-side-project
Swipe40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Swipe right on your next customer
Product Hunt+149ProductivityFo
For folks who love reading: Better search58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
For folks who love reading: Better search
Hacker News2