Autonomous research agent · by Ranger Ventures

Name a competitor. Get the teardown.

Excubor returns a sourced thesis on where a company is weak, where they're betting, and what they're about to fail at — by reading their hiring, their reviews, and their market as one signal. Branded report, every claim linked and verified.

One report · $1,500 · five business days · or read a finished one first, free.

Every source verified to resolve — not the citations AI research tools invent.

The method

Most tools tell you what a competitor is doing. Excubor tells you what they're about to fail at.

Anyone can ask an AI to summarize a company. The difference is in the inputs. Excubor pulls structured hiring data from Greenhouse and Lever, complaint and discourse signal from G2, Trustpilot, Reddit, and HN, and reads them against each other. Where a competitor is investing meets where their users are hurting is where you find their next eighteen months. Then a named operator stakes their judgment on the thesis — not a chat transcript you have to drive and vouch for yourself.

§01

Three signals, one thesis

A research analyst, not a research tool
01

Where they're betting.

Open roles are a company's roadmap leaking in public. Excubor pulls hiring from Greenhouse and Lever, normalizes and tags it, and reads it as a leading indicator of what ships next.

02

Where they're hurting.

What users, forums, and the press actually say — G2, Trustpilot, Reddit, Hacker News — clustered into the complaints that repeat, with single-source noise flagged, not dressed up as fact.

03

Where they're exposed.

The gap between the two: the capability they're staffing to build and the one their customers already need. Five dated, falsifiable predictions you can hold the report to.

§02

Read one first

The deliverable is the pitch
Case file / 001 K2 Space

On-orbit compute, the AI bottleneck, and why the $450M bet lands.

A full Excubor teardown of a real NewSpace company: capability map, hiring read, discourse signal, market context, and five dated predictions — every claim sourced and link-verified.

Published — read the whole thing

No signup. No sales call. The actual report.

Open the K2 report (PDF) This is the standard report shape. Yours runs on the subject you name.
§03

Inside the report

Standard report · ≤10 pages
01

Executive thesis

The single most important conclusion, in three sentences.

02

Capability map

What the subject does well, where the gaps are, what's at risk.

03

Hiring signals

What open roles reveal about direction. Greenhouse + Lever, normalized, tagged.

04

Discourse signals

What users, forums, and press are saying. Reddit, G2, Trustpilot, HN, X.

05

Market context

Adjacent moves, regulatory shifts, funding climate.

06

Five predictions

Testable, dated, falsifiable.

07

Sources

Every claim linked. Every URL verified to resolve.

§04

One report. One price.

No tiers · no contact-us gate
Standard Report
$1,500
Five business days from confirmed scope. Any public company.
Custom subject — the company or market you name
Structured thesis, ≤10 pages, branded HTML + PDF
Hiring × discourse × market-gap correlation
Five dated, falsifiable predictions
Every claim sourced; every link verified to resolve

Deeper correlation work, named-competitor sets, and ongoing monitoring are available on request — start with one report and see the shape first. Request a subject →

Get started

Tell us a company.
We'll tell you what's next.