Bi
Biggest Library of Ready-Made API Collections for Postman
Hacker NewsBiggest Library of Ready-Made API Collections for Postman
Share cardActual performance
2points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto84%84% 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 · Strong signals: io · Missing: https docs, excited, just released51%51% 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, personal49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos44%44% predicted probability of success on Product Hunt, 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.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive30%30% 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, 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
Li
Library of API collections for Postman60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Library of API collections for Postman
Hacker News77Te
Tetrisly – The Biggest Components Library40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Tetrisly – The Biggest Components Library
Hacker News5I
I made the biggest 3D illustration library in the world42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I made the biggest 3D illustration library in the world
Hacker News1My
My Biggest SideQuest So Far42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
My Biggest SideQuest So Far
Hacker News2Th
The Groundwork Collections42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The Groundwork Collections
Hacker News3li
libcodr7 – fundamental collections in the spirit of C42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
libcodr7 – fundamental collections in the spirit of C
Hacker News67Pr
Probed Collections42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Probed Collections
Hacker News2Go
Gophers – an open source Go library for generic collections51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Gophers – an open source Go library for generic collections
Hacker News2Ea
Early access to ready-made, tested API collections for Postman54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Early access to ready-made, tested API collections for Postman
Hacker News6Of
Off-heap collections with speed comparable to Java Collections32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Off-heap collections with speed comparable to Java Collections
Hacker News4