Vi
Actual performance
1points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto89%89% 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.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released70%70% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntOn track for Day 1 leaderboard · Strong signals: visual, plain · Missing: mac, agents, macos69%69% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
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.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting38%38% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal29%29% 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, revenue14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
St
StoryForj – Explain things visually, from concepts to how-to's69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
StoryForj – Explain things visually, from concepts to how-to's
Hacker News10Ma
Markov chains explained visually75%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Markov chains explained visually
Hacker News1,070Ex
Explained Visually79%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Explained Visually
Hacker News353Vi
Visually mine π68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Visually mine π
Hacker News5Se
Search icons visually59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Search icons visually
Hacker News87A
A game I made to explain binary search to non programmers66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A game I made to explain binary search to non programmers
Hacker News7I
I made a game with visually programable spells63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I made a game with visually programable spells
Hacker News9I
I built a tool to explain MySQL's Explain Plan48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I built a tool to explain MySQL's Explain Plan
Hacker News1Pe
Pebble Finance – Explain60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Pebble Finance – Explain
Hacker News8De
Device for visually impaired folks that describes their surroundings66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Device for visually impaired folks that describes their surroundings
Hacker News1