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Short answers on Match, Deal Read, Signal, billing, and the investor graph.
Match & Discovery
An investor's details look wrong
Graph data comes from public sources and enrichment, and sources drift: partners move, funds wind down, emails die.
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Discovery vs Match
Discovery is the whole graph: browse, filter, and search every firm and angel, with badges and profiles. Use it to understand the landscape…
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How Match scoring works
Match scores every firm in the graph against the real shape of your raise: Thesis fit: sector and sub-vertical alignment with what the firm…
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How to build an investor shortlist that actually converts
The biggest silent killer of a raise is a bad list. Two hundred names exported from a database feel like progress, but every off-thesis ema…
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Investor matchmaking on a verified investor database
An investor matchmaking platform is only as good as the database underneath it. Matching against stale or scraped data produces confident s…
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Match reveals and monthly limits
A reveal is pulling an investor from Match onto a raise. Only genuinely new adds count: re-adding someone already in your book, or moving t…
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Saved views on the relationship book
The book (/app/investors) ships with preset lenses from the advisor playbook: All, Hot, Tier A: your working priorities. On a raise, Not on…
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Sector and sub-vertical filters
Beyond broad sectors (fintech, health, consumer), the graph carries sub-vertical tags: narrower theses like payments infrastructure, digita…
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What "reachable" means
An investor is reachable when Lunra holds a working email for the firm or a named partner at it. The "Reachable only" filter in Discovery a…
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What the verification badges mean
Every entity carries the strongest badge its evidence supports: ✓ Verified (solid blue): a working email AND a confirmed LinkedIn identity.…
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