RA
RAG-chunk – A tool to choose optimal chunk sizes for RAG
Hacker NewsRAG-chunk – A tool to choose optimal chunk sizes for RAG
Share cardActual performance
1points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto64%64% 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 HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos51%51% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released35%35% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue13%13% 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, podcasting11%11% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Ve
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
Preprocess65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Preprocess maximises RAG performances
Product Hunt+106APIAu
AutoRAG – AutoML tool for RAG. Find an optimal RAG pipeline42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AutoRAG – AutoML tool for RAG. Find an optimal RAG pipeline
Hacker News18I
I made a RAG agent for the leyman24%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 RAG agent for the leyman
Hacker News5Co
Code-Chunk for RAG48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Code-Chunk for RAG
Hacker News1Mo
Mockingbird is an LLM that outperforms GPT4 on RAG57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Mockingbird is an LLM that outperforms GPT4 on RAG
Hacker News9NexenTensors45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Your Production RAG rescuer
Indie Hackers1aiRa
Rag Framework64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Rag Framework
Hacker News5Au
Automatic Reindexing in Minima RAG54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Automatic Reindexing in Minima RAG
Hacker News2