I
I made a faster way to pick 30k+ Unicodes
Hacker NewsI made a faster way to pick 30k+ Unicodes
Share cardActual performance
6points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: code · Missing: mac, agents, macos58%58% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: way · Missing: mobile apps, ios, personal57%57% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released57%57% 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, intuitive43%43% 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, revenue33%33% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting32%32% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto30%30% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Pi
Pick Your Paranoia40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Pick Your Paranoia
Hacker News10Pi
Pick One40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Pick One
Hacker News1So
So many models, which to pick?25%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
So many models, which to pick?
Hacker News1Pi
Pick a Category, Explore the Indieweb44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Pick a Category, Explore the Indieweb
Hacker News2
Dropmatico63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Drop. Pick. Done.
Product Hunt+110Design ToolsPi
Pick Me lk l. An Uber clone57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Pick Me lk l. An Uber clone
Hacker News1Yepday35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The no-sign-up way to pick a date that works for everyone.
Indie Hackerscommitment-side-projectPick Radar45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
TrustMRR6$35/moMobile AppFaster Thinking46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
2 seconds to pick a right answer!
Indie Hackers3$500/moadvertisingHo
How to pick a career that suits you (based on WaitButWhy)54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
How to pick a career that suits you (based on WaitButWhy)
Hacker News1