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Proactive Agents — What They Are and How to Build Them — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Artificial Intelligence →

DomainMatchTitleCountry/LangCategoryAI filesContactAI-protection
bump.sh 68 match
2 shared topics
Build APIs for humans and agents · Bump.sh en artificial-intelligenceLightspeed robotsllmsaihumans emailphone none
almostautonomous.com 67 match
2 shared topics
Almost Autonomous — An AI Agent's Build Log en artificial-intelligenceGhost robotsllmsaihumans emailphone none
ledgair.io 67 match
2 shared topics
Ledgair — Track What AI Agents Actually Do en artificial-intelligence robotsllmsaihumans emailphone none
proactiveants.com 67 match
2 shared topics
Proactive Ants – Be Proactive en technology-and-computingWordPressWooCommerce robotsllmsaihumans emailphone none
sindevz.com 67 match
2 shared topics
SinDevz — We Build Software That Thinks Ahead en artificial-intelligence robotsllmsaihumans emailphone partial · 8
sindevzsolutions.com 67 match
2 shared topics
SinDevz — We Build Software That Thinks Ahead en artificial-intelligence robotsllmsaihumans emailphone none
signal4i.ai 67 match
2 shared topics
Signal4i — What the IBM i world isn't seeing yet en technology-and-computing robotsllmsaihumans emailphone partial · 8
layla-ai.app 67 match
2 shared topics
layla — Describe your goal. We build the team. en artificial-intelligence robotsllmsaihumans emailphone none
buildagenticcommerce.com 67 match
2 shared topics
Build Agentic Commerce en artificial-intelligence robotsllmsaihumans emailphone none
cryptostack.ai 66 match
2 shared topics
CryptoStack — Infrastructure for Crypto-Native AI Agents en artificial-intelligence robotsllmsaihumans emailphone none
amagine.ai 66 match
2 shared topics
Amagine — Vibe Hardware for AI Agents en artificial-intelligence robotsllmsaihumans emailphone none
fleetprompt.com 66 match
2 shared topics
FleetPrompt — The Agent Marketplace en artificial-intelligence robotsllmsaihumans emailphone none
flowpad.ai 66 match
2 shared topics
Flowpad - See what your AI agents are doing wrong. en artificial-intelligence robotsllmsaihumans emailphone none
mcp-handbook.com 66 match
2 shared topics
The MCP Handbook — Where to Start with Model Context Protocol en artificial-intelligence robotsllmsaihumans emailphone none
buildingagenticai.com 66 match
2 shared topics
Building Agentic AI en artificial-intelligence robotsllmsaihumans emailphone none
deeprapid.ai 66 match
2 shared topics
DEEPRAPID.AI — Build at the Speed of Thought en artificial-intelligence robotsllmsaihumans emailphone none
forkideas.com 66 match
2 shared topics
ForkIdeas — Decide what gets built en artificial-intelligence robotsllmsaihumans emailphone none
layered.dev 66 match
2 shared topics
Layered System - Agents and Protocols en artificial-intelligence robotsllmsaihumans emailphone none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.