For fundamental strategies

Software data for fundamental investment research.

SoftwareIQ brings source-backed operating KPIs, management guidance, daily hiring demand, and developer activity into one research system for underwriting and ongoing company monitoring.

Try the platform Explore Operating KPIs

Operating KPIs · MongoDB

Is the reported demand inflection broad and durable?

Establish the demand record before interpreting the signal.

A single backlog value says little about the shape of demand. The longer RPO and cRPO history separates total contracted backlog from the portion expected to convert over the next twelve months and makes the Q2 FY26 trough and subsequent reacceleration explicit.

This creates a consistent base for revenue calibration, peer comparison, and earnings preparation while preserving MongoDB's reported definitions and fiscal periods.

Research outputHistorical driver analysis and forward revenue calibration.

MongoDB RPO: $1.46b
MongoDB cRPO: $766.3m

Eight reported quarters

MongoDB RPO and cRPO

Toggle from reported backlog to the calculated year-over-year growth profile.

Q1-27RPO $1,459mcRPO $766m

Job Postings · MongoDB

Is management adding the sales capacity implied by demand?

Read quota-bearing investment between reported quarters.

Monthly enterprise AE inventory converts daily direct-employer capture into a comparable view of intended sales capacity. The role classifier isolates enterprise account executives rather than treating every Sales posting as equivalent.

Placed beside cRPO, the series helps test whether current hiring direction is consistent with the reported demand inflection. A posting is not a confirmed hire, so it remains an investment-intent signal rather than a workforce count.

Research outputCapacity assumptions, earnings preparation, and thesis monitoring.

Monthly average active postings

MongoDB enterprise AE demand

Direct-employer inventory classified to quota-bearing enterprise account executives.

Aug 26Enterprise AE 41.6

Developer Signals · GitLab

Is activity around a strategic product becoming durable?

Add product-level evidence without confusing source changes for adoption.

Mapped package activity supplies a higher-frequency product lens that company-level financial reporting cannot. The GitLab Duo example uses a four-week measure and stops before a known source-methodology change.

A fixed comparable window makes the evidence usable for product diligence and launch monitoring without presenting a collection discontinuity as customer adoption.

Research outputProduct diligence and operating-model context.

Comparable through 2026-07-13

GitLab Duo CLI package activity

Four-week trailing npm activity through July 2026.

Jul 26Duo CLI downloads 90.4K

Read together

The combined view turns an earnings observation into a monitored operating thesis.

Reported backlog establishes the inflection, enterprise AE demand tests whether sales capacity is moving in the same direction, and product activity supplies an independent operating lens between disclosures. Each measure keeps its own definition and evidentiary weight.

Connected datasets

One company and product taxonomy. Distinct evidence.

Each measure retains its own cadence, definition, and evidentiary weight while resolving to consistent company and product identities.

Operating KPIs

Reported backlog, customer cohorts, guidance, workforce, and adjusted operating measures.

Job Postings

Daily direct-source hiring demand, including quota-bearing roles and company-specific investment classifications. A posting is not a confirmed hire.

Developer Signals

Product-level package, container, and provider activity with documented source controls.

Continue the research

Put the operating thesis next to the evidence.

Research the company in the platform or review the dataset definitions and source methodology first.

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