Results for "research"

Hermes Agent by Nous Research is an open-source personal AI agent that connects to your messaging accounts and becomes a persistent assistant that grows with you over time. Rather than one-off chat sessions, it accumulates context and acts on your behalf across channels.

The PM Operating System onboarding guide configures your Cursor setup with your role, product domain, goals, and stakeholders. Your answers auto-generate personalized rules, agents, and skills — a research subagent fetches your company strategy automatically after step 1.

YouTube Short revealing a free consulting framework for identifying billion-dollar market opportunities — a tactical method for market sizing and spotting large addressable markets without paid research tools.

Automaton is an open-source self-replicating, self-improving AI agent that earns its own compute costs or dies. It has an Ethereum wallet on Conway Cloud, runs a continuous Think→Act→Observe loop, can edit its own source code, spawn child agents, and follows a three-law constitution. It writes a SOUL.md file that evolves over time.

LunarCrush tracks social media sentiment, engagement, and influencer activity for crypto assets and stocks. This link points to the Marvell Technology ($MRVL) topic — monitoring social signals as an investment research tool.

MIT CISR researchers update their 2013 digital business model framework for the AI era, defining 4 new models: Existing+ (AI augments current processes), Customer Proxy (AI manages outcomes within guardrails), Modular Creator (AI assembles reusable service bundles), and Orchestrator (AI coordinates a full ecosystem for autonomous customer outcomes).

Firecrawl's competitive intelligence use case enables automated monitoring of competitor websites — tracking product launches, pricing, messaging, job postings, and technical changes in real-time. Includes ready-made templates: Firecrawl Observer (alerts) and Fireplexity (AI research).

BlackRock & NVIDIA researchers propose HybridRAG — combining Knowledge Graph RAG (GraphRAG) with Vector RAG for financial document Q&A. The hybrid approach outperforms either method alone on earnings call transcripts, achieving higher answer relevancy and faithfulness because graph structure captures entity relationships that vector search misses.