Actual performance
266upvotes
52comments
Made the leaderboard
Traction signals
Makers1
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto77%77% 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 HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos49%49% predicted probability of success on Product Hunt, 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, personal41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive35%35% 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, podcasting26%26% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released24%24% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Lo
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 News22Dy
Dynamic graphs of crowdsourced atmosphere sensor data51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Dynamic graphs of crowdsourced atmosphere sensor data
Hacker News5Axelr AI54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Messy data → Structured JSON in seconds.
Indie Hackers1aiAxelr AI23%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Messy data → Structured JSON in seconds.
Indie HackersChartGen34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Turn Messy Data into Stunning Charts in Seconds
Indie Hackerscommitment-full-timeGe
Geospatial Data → Graphs (Networks)45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Geospatial Data → Graphs (Networks)
Hacker News1