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Useprimer alternatives & similar sites

Primer — Agent Harness Intelligence for Engineering Teams — 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
luvian.io 74 match
3 shared topics
Luvian | The Context Layer for Engineering Intelligence en artificial-intelligence robotsllmsaihumans emailphone none
usedossier.io 71 match
3 shared topics
Dossier — Intelligence for every ticket en technology-and-computing robotsllmsaihumans emailphone none
3an.ai 71 match
3 shared topics
3an.ai — AI engineering telemetry for engineering leaders en artificial-intelligence robotsllmsaihumans emailphone none
1source.dev 71 match
3 shared topics
1Source - Universal Context Protocol for Engineering Teams en software-and-applications robotsllmsaihumans emailphone none
useumber.com 68 match
3 shared topics
Umber — Development tracker for engineers | Ship growth, not just tasks en software-and-applications robotsllmsaihumans emailphone none
plexadi.com 67 match
3 shared topics
Plexadi | Engineering Tomorrow's Software en technology-and-computing robotsllmsaihumans emailphone none
2signal.dev 66 match
3 shared topics
2Signal — AI Agent Testing & Monitoring en artificial-intelligence robotsllmsaihumans emailphone none
johnvik.com 66 match
3 shared topics
John Vik | QA Engineering, Software Testing, and Technology en artificial-intelligence robotsllmsaihumans emailphone none
faultlines.dev 66 match
3 shared topics
Dynvo — Feature-level code observability for teams & AI agents en software-and-applications robotsllmsaihumans emailphone none
deepakparyani.dev 65 match
3 shared topics
Deepak Paryani | Software Engineer en artificial-intelligence robotsllmsaihumans emailphone none
axivivo.com 65 match
3 shared topics
Axivivo | European Deep-Tech Innovation & Software Engineering Partner en software-and-applications robotsllmsaihumans emailphone none
demooij.dev 65 match
3 shared topics
Jan de Mooij | Researcher • Software Engineer en artificial-intelligenceWordPress robotsllmsaihumans emailphone none
useoxygenagent.com 65 match
3 shared topics
Oxygen — GTM CLI for Claude Code, Codex & MCP agents en technology-and-computing robotsllmsaihumans emailphone none
useoxygenagents.com 65 match
3 shared topics
Oxygen — GTM CLI for Claude Code, Codex & MCP agents en technology-and-computing robotsllmsaihumans emailphone none
useoxygenhq.com 65 match
3 shared topics
Oxygen — GTM CLI for Claude Code, Codex & MCP agents en technology-and-computing robotsllmsaihumans emailphone none
joinoxygenagent.com 65 match
3 shared topics
Oxygen — GTM CLI for Claude Code, Codex & MCP agents en technology-and-computing robotsllmsaihumans emailphone none
joinoxygenagents.com 65 match
3 shared topics
Oxygen — GTM CLI for Claude Code, Codex & MCP agents en technology-and-computing robotsllmsaihumans emailphone none
nasirnishat.com 65 match
3 shared topics
Nasir Uddin Nishat | Software Engineer 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.