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HyperMind – Experimental human-like memory layer for AI apps (OS)

Hacker News

HyperMind – Experimental human-like memory layer for AI apps (OS)

I’ve been experimenting with HyperMind, a memory layer that tries to bring human-like memory behavior to AI apps. It builds evolving short-term and long-term memory, tracks relevance and recency, and applies context decay over time. Playground: https://hypermind-memory.vercel.app/chat Github: https://github.com/vashuteotia123/hypermind

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: apps, context · Missing: mac, agents, macos
90%90% 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.
TrustMRRLess likely to generate early MRR · Strong signals: apps · Missing: mobile apps, ios, personal
44%44% 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, podcasting
41%41% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
34%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.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
28%28% 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, revenue
21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency
20%20% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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