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Documentation Index

Fetch the complete documentation index at: https://docs.hivesight.so/llms.txt

Use this file to discover all available pages before exploring further.

A short glossary of the terms you’ll see across the product.

Ecosystem

An ecosystem is a workspace scoped to a single GTM motion. It owns:
  • The team members whose networks are mapped (connectors)
  • The ICP definition used to classify contacts
  • The target accounts list
  • The intro opportunities pipeline
  • The integration connections (HubSpot, Slack, Google Calendar, MCP)
Most teams run a single ecosystem. You’d add a second one when you’re running a meaningfully different motion — a new product line, a new segment, or a separate geography that should be reported on independently.

Connector

A connector is someone whose LinkedIn network HiveSight maps. Usually a teammate, but can also be an advisor, investor, customer, or partner. Each connector has a connection type used for filtering anywhere people are listed. Every new ecosystem ships with these defaults:
  • Team — your teammates
  • Investor
  • Advisor
  • Customer
  • Partner
  • Influencer
  • Connection of Team — surfaced via Calendar / LinkedIn enrichment
  • Other
You can rename, recolor, reorder, or add custom types from Settings → Connector types. Connectors added automatically by a source get tagged Added from Calendar or Synced from LinkedIn. Plans cap the number of connectors per ecosystem. See Plans & seats.

Network

A connector’s network is everyone they’ve meaningfully engaged with on LinkedIn — close connections, mutual posters, people they’ve recommended or been recommended by, alumni from the same school or company, and so on. HiveSight unions every connector’s network into the ecosystem’s combined network graph. That’s the universe of people you can run warm intros to.

Relationship score & strength tier

Every edge between a connector and someone in their network has a relationship score between 0 and 1. The score is built from multiple signals: engagement frequency, language used, recommendations, mutual posts, and shared affiliations. Scores roll up into four tiers shown in the UI:
TierScore rangeWhat it means
Very likely≥ 0.7Strong shared history, recent engagement, or explicit recommendation.
Likely0.45 – 0.7Multiple signals — work overlap, mutual engagement, shared affiliations.
Possible0.25 – 0.45Some shared context, but limited signals to verify warmth.
Cold< 0.25Weak or unverified connection — treat as a cold reach.

ICP fit

Your ICP definition is a plain-English description of who you sell to. HiveSight classifies every person in the ecosystem’s network into one of four segments:
  • Direct buyer — the decision-maker for your product.
  • Adjacent buyer — an influencer or stakeholder in the buying motion.
  • Intel — useful context (employee, alum, partner) without buying power.
  • Unknown / no match — not yet classified, or doesn’t match your ICP.
When you change the ICP definition, classifications re-run automatically. Stale classifications from the previous definition are ignored on the next read.

Target account

A target account is a company you want to break into. Target accounts drive the most prominent boosts in the warm-path ranking — a Likely connector for a target-account direct buyer outranks a Very-likely connector for someone outside your target list. Two ways to add targets: paste them one at a time, or upload a CSV.

Intro opportunity

When you click Save as opportunity on a warm path, it becomes a row in your Opportunities pipeline. From there you can:
  • Track status across three fixed buckets — Active, Paused, Closed — with your own custom status labels inside each bucket (e.g. “Intro requested”, “Awaiting reply”, “Won”)
  • Add notes and activity entries
  • Push intro signals to HubSpot (if HubSpot is connected)
  • See alerts in Slack when new opportunities surface
Saved opportunities are filtered out of the dashboard’s “Top intro paths” section so the same names don’t keep surfacing after you’ve taken action.

Dossier

A dossier is a brief HiveSight builds about a person ahead of a meeting — their company, role, warm-path connections from your team, recent notable activity, and shared signals. Dossiers are delivered before each external meeting on a connected Google Calendar.

Connector source

A connector source is an automation that adds connectors or enriches their networks. Examples:
  • Google Calendar backfill — adds people you’ve met with as soft connectors.
  • LinkedIn close-connections sync — refreshes a connector’s high-engagement network on a schedule.
Sources are configured per-connector in the ecosystem settings.