Se
Search Kanji by Parts with Instant Feedback
Hacker NewsSearch Kanji by Parts with Instant Feedback
Share cardActual performance
5points
1comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto86%86% 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, macos58%58% 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.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal31%31% 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, podcasting26%26% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
VH
VHDL arbiters (three parts)56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
VHDL arbiters (three parts)
Hacker News1No
No Scary Parts56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
No Scary Parts
Hacker News2VH
VHDL arbiters tutorial – Three parts37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
VHDL arbiters tutorial – Three parts
Hacker News1Cy
Cyberdeck Made from Scrap Parts57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Cyberdeck Made from Scrap Parts
Hacker News1YMM Fitment AI: Parts Search46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AI fitment search for auto parts
Indie Hackers1b2bin
instant search on kickstarter50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
instant search on kickstarter
Hacker News2Feedny37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Get free instant feedback
Indie Hackerscommitment-side-projectI
I reversed engineered parts of Yo's API71%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I reversed engineered parts of Yo's API
Hacker News3Ge
Get Instant Feedback on Your Coverletter with AI35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Get Instant Feedback on Your Coverletter with AI
Hacker News1In
InstaPart – Build circuit boards faster with instant parts54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
InstaPart – Build circuit boards faster with instant parts
Hacker News309