Research Signals
AI-curated research signals from HN, Reddit, ArXiv, and GitHub — scored and ranked by relevance.
Eight autonomous research swarms continuously scan the web for emerging trends, breakthroughs, and market shifts. Every signal is scored on urgency, buyer intent, and durability — so you always know what matters right now.
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Multi-Source Intelligence
Aggregates signals from Hacker News, Reddit, ArXiv papers, GitHub repos, job boards, and more.
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Composite Scoring
Every signal scored on urgency, buyer intent, durability, and source count — weighted and ranked automatically.
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Breakout Detection
Alerts when a signal's score velocity exceeds 1.8x its rolling average — catch trends before they peak.
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Category Filtering
Filter by AI, infrastructure, security, devtools, business, career, market, and data categories.
Sample Signals
AI
HN + Reddit
LLM Agent Frameworks Consolidation
7.8
Major shift toward unified agent frameworks as LangChain, CrewAI, and AutoGen converge on similar patterns. Enterprise adoption accelerating with standardized tool-calling protocols.
Sources: 6consultants, devs, founders
Security
ArXiv + GitHub
Supply Chain Attack Surface Expansion
7.1
New research identifies growing attack vectors in npm/PyPI ecosystems. Dependency confusion attacks up 340% YoY. Automated scanning tools gaining enterprise traction.
Sources: 4devs, founders
Market
HN + Jobs
AI Infrastructure Spending Surge
6.9
GPU compute costs declining while demand doubles. New inference-optimized chips entering market. Startups shifting from training to deployment optimization.
Sources: 5consultants, founders
These are sample signals. Live data includes 50+ scored signals updated hourly.
API Access
Query signals programmatically with filtering, sorting, and trend history.
GET /signals ?category=ai&min_score=5&sort=urgency
GET /signals/trending — breakout detection
GET /signals/:topic — signal detail + history
GET /stats — category breakdown + top 10