Qu
Quine graphs – artificial life experiments (JS)
Hacker NewsQuine graphs – artificial life experiments (JS)
Share cardActual performance
4points
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 NewsMay not resonate with HN audience · Missing: https docs, excited, just released47%47% 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, personal35%35% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos29%29% 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, intuitive24%24% 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, podcasting17%17% 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, revenue16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
ar
artificial life whole cell project57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
artificial life whole cell project
Hacker News6Lo
Lorentz Embeddings of Graphs in 2-5 Dimensions55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Lorentz Embeddings of Graphs in 2-5 Dimensions
Hacker News2La
Lazily-evaluated graphs from sympy expressions48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Lazily-evaluated graphs from sympy expressions
Hacker News5Si
Sierpiński and Other Kronecker Graphs with the GraphBLAS39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Sierpiński and Other Kronecker Graphs with the GraphBLAS
Hacker News2Se
Semi-Supervised-Segmentation-on-Graphs31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Semi-Supervised-Segmentation-on-Graphs
Hacker News2E-
E-graphs and equality saturation in Haskell66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
E-graphs and equality saturation in Haskell
Hacker News22Pr
Procedurally Generated Artificial Life57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Procedurally Generated Artificial Life
Hacker News6Pl
Plot simple graphs straight in JS43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Plot simple graphs straight in JS
Hacker News2Socialeb69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Gestor de redes sociales con inteligencia artificial
Indie Hackerscommitment-full-timeA
A genetic simulator for artificial life67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A genetic simulator for artificial life
Hacker News36