Actual performance
246upvotes
22comments
Made the leaderboard
Traction signals
Makers1
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos74%74% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto71%71% predicted probability of success on BetaList, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: pipe · Missing: https docs, excited, just released58%58% predicted probability of success on Hacker News, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive26%26% 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, revenue18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting9%9% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
De
Demystifying Advanced RAG Pipelines59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Demystifying Advanced RAG Pipelines
Hacker News131Pi
Pipelines50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Pipelines
Hacker News1Pi
Pipelines50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Pipelines
Hacker News5Su
Superpipe – optimized LLM pipelines for structured outputs52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Superpipe – optimized LLM pipelines for structured outputs
Hacker News2Le
LettuceDetect – Lightweight hallucination detector for RAG pipelines60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
LettuceDetect – Lightweight hallucination detector for RAG pipelines
Hacker News10Ra
Ragas – Open-source library for evaluating RAG pipelines71%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Ragas – Open-source library for evaluating RAG pipelines
Hacker News121Sc
Sci-Pype – Build Data Pipelines with Jupyter and Redis and MySQL and Docker49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Sci-Pype – Build Data Pipelines with Jupyter and Redis and MySQL and Docker
Hacker News1Bu
Build data pipelines visually and with code68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Build data pipelines visually and with code
Hacker News12Ve
Vectorless RAG48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Vectorless RAG
Hacker News11Pa
PageIndex – Vectorless RAG66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
PageIndex – Vectorless RAG
Hacker News192