Gr
Graphenium, persistent repo memory for AI coding assistants
Hacker NewsGraphenium, persistent repo memory for AI coding assistants
Share cardActual performance
1points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: coding · Missing: mac, agents, macos81%81% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto76%76% predicted probability of success on BetaList, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released34%34% 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, personal33%33% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting29%29% 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, revenue22%22% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive20%20% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Pr
Project Journal – Give AI coding assistants persistent memory24%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Project Journal – Give AI coding assistants persistent memory
Hacker News1Su
Suzerain – How much autonomy do you give your AI coding assistants?23%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Suzerain – How much autonomy do you give your AI coding assistants?
Hacker News1Me
MemoryOps AI – governed memory lifecycle for AI assistants30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
MemoryOps AI – governed memory lifecycle for AI assistants
Hacker News3Sv
Sverklo – repo memory for coding agents33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Sverklo – repo memory for coding agents
Hacker News3
VibePad79%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Control AI coding assistants with a gamepad from your couch
Product Hunt+128Open Source
MemoryCustodian93%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Repo-native memory for coding agents
Product Hunt+145Developer ToolsCM
CMEM – Persistent Memory for AI Coding Agents26%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
CMEM – Persistent Memory for AI Coding Agents
Hacker News1
ContextPool83%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Persistent memory for AI coding agents
Product Hunt+178Open SourceMe
Memoir – persistent memory for AI coding tools via MCP20%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Memoir – persistent memory for AI coding tools via MCP
Hacker News2Assistable?60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Skilled Assistants for Everyone!
Indie Hackers1marketplaces