Verified tech stacks, org charts, hiring signals, and warm paths — always current, structured for Claude Code, your scripts, or any MCP client.
$ pip install kinobi
Dota 2 Patch 7.03b and AI: A New Era for Competitive Play
The 7.03b2 version represents a bridge between the classic engine and modern gameplay. While traditional DotA AI maps often ended at version 6.83, the 7.03b2 release brings substantial technical and mechanical upgrades: dota 703b2 ai
AI Functionality: Unlike standard multiplayer maps, the AI version uses complex triggers to simulate human-like behavior, such as laning, last-hitting, and using active items like Blink Dagger or Black King Bar.
AI Difficulty & Balance: The AI in these "7.x" versions is known for having "cheating" mechanics to remain competitive, such as significantly increased health regeneration and faster leveling compared to human players. Dota 2 Patch 7
Conclusion
Separate draft transformer trained on 10 million pro and pub drafts: Conclusion 5
For those looking to explore this specific version or its subsequent updates, resources like D1Stats and Epic War serve as the primary repositories for the Dracolich branch of maps. AI responses may include mistakes. Learn more
knowledge graph
Every result is live from our production graph.
Company intelligence
Your agent queries the graph. You close deals.
Dota 2 Patch 7.03b and AI: A New Era for Competitive Play
The 7.03b2 version represents a bridge between the classic engine and modern gameplay. While traditional DotA AI maps often ended at version 6.83, the 7.03b2 release brings substantial technical and mechanical upgrades:
AI Functionality: Unlike standard multiplayer maps, the AI version uses complex triggers to simulate human-like behavior, such as laning, last-hitting, and using active items like Blink Dagger or Black King Bar.
AI Difficulty & Balance: The AI in these "7.x" versions is known for having "cheating" mechanics to remain competitive, such as significantly increased health regeneration and faster leveling compared to human players.
Conclusion
Separate draft transformer trained on 10 million pro and pub drafts:
For those looking to explore this specific version or its subsequent updates, resources like D1Stats and Epic War serve as the primary repositories for the Dracolich branch of maps. AI responses may include mistakes. Learn more
Signals API
Track open roles, hiring velocity, and department growth. Your agent uses this to time outreach perfectly.
Graph API
5 connectors, 4 shared contexts, 7 targets — your agent finds the strongest path through the graph automatically.
MCP Server
Start the MCP server and your AI agent gets access to every Kinobi tool — search, enrich, signals, and graph — with zero integration work.
Platform
Kinobi ingests LinkedIn connections, board affiliations, investor networks, and alumni ties — then scores every path to every target.
Find warm paths through your team's network to any decision maker at any company.
Query the relationship graph. Every path scored 0–100 on shared context and recency.
Full tech stack by category with change detection. Know when a competitor's contract expires.
Open roles, hiring velocity, department growth. Time your outreach to hiring surges.
Drop-in tool server for Claude Code, Cursor, and any MCP-compatible client.
Every endpoint returns typed, machine-readable output. Pipe it anywhere.
made for machines ... and humans ;)