Be
Beautiful letters about beautiful places
Hacker NewsBeautiful letters about beautiful places
Share cardActual performance
2points
1comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto74%74% 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.
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos66%66% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released56%56% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal42%42% 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, podcasting28%28% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive22%22% 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, revenue16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Be
Beautiful letters about wonderful places52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Beautiful letters about wonderful places
Hacker News1Th
The most beautiful places on earth50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The most beautiful places on earth
Hacker News85Truit39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Discover beautiful places where you travel
Indie Hackers2contentSh
Shiki – A beautiful Syntax Highlighter62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Shiki – A beautiful Syntax Highlighter
Hacker News1Be
Beautiful Circos Plots in Matplotlib65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Beautiful Circos Plots in Matplotlib
Hacker News2Classy Red Lipstick36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Creamy formula and beautiful velvet texture lipstick
Indie Hackerscommitment-full-timeBi
Bimble – All Your Favourite Places26%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Bimble – All Your Favourite Places
Hacker News2Sh
Showing places with kebab cuisine in Austria, Germany and switzerland25%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Showing places with kebab cuisine in Austria, Germany and switzerland
Hacker News5A
A list of beautiful outdoor places56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A list of beautiful outdoor places
Hacker News10Be
Beautiful Places – Near You – That You've Never Visited60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Beautiful Places – Near You – That You've Never Visited
Hacker News1