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The Subspace dossier

Deterministic checks across public records — government filings (H-1B, WARN, SEC EDGAR), DNS, HTTP headers, CSP, app stores, careers pages, ATS fingerprints. No LinkedIn scraping. No AI guesses. If a fact isn't there, it's blank.

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Subspace vs ChatGPT

What ChatGPT can't tell you about your SaaS vendors.

ChatGPT answers what's on the public web. Subspace answers questions the public web doesn't have the data to answer — vendor stability, hiring momentum, infrastructure cuts — by running structured queries across 380,000 companies, daily.

Check a vendor →Read the API docs →
Q01Which of my SaaS vendors stopped hiring engineers in the last 60 days?
ChatGPT (typical)
I can't access real-time hiring data across multiple companies. I can summarize public statements, but I can't tell you which of your specific vendors have stopped hiring without you checking each careers page individually.
Subspace
Vendor A: zero new engineering roles posted in 73 days (last: Mar 14). Vendor B: 4 eng roles closed without reposts since Apr 2. Vendor C: ATS provider stopped responding 41 days ago — host went dark. 3 of your 27 vendors flagged. Sources: 4,200 ATS pings across 67 days.
Why: Requires longitudinal monitoring of every vendor's job board. Public web has no aggregated index. ChatGPT can answer this for one company at a time, badly. Subspace runs it across your whole list.
Q02Has any of my vendors lost their CISO in the last quarter?
ChatGPT (typical)
I can search for executive departure announcements, but I'd need to do it one vendor at a time, and I'd miss anyone who hasn't issued a press release. I can't reliably cross-reference your specific vendor list.
Subspace
2 of your 27 vendors changed their security leader in the last quarter. Vendor X's CISO removed from team page Apr 8 — no announcement. Vendor Y's incoming CISO posted on LinkedIn Mar 22, replacing predecessor whose roles closed Feb 2. Both vendors' downstream security tools likely up for review.
Why: Requires structured tracking of leadership changes across companies. ChatGPT can't cross-reference a custom vendor list against an executive-change index because that index doesn't exist publicly.
Q03Which of my vendors' infrastructure spending dropped this quarter?
ChatGPT (typical)
Infrastructure spend isn't typically disclosed publicly for private companies. I can speculate based on press coverage but can't verify it.
Subspace
4 of your 27 vendors show infrastructure-tier downgrades since Q1. Specific deltas: CDN tier dropped Enterprise → Growth, WAF removed, status-page provider downgraded. Tier-shift patterns historically lead headcount reductions by 40-90 days.
Why: Infrastructure changes are visible on the open web (DNS, certificates, HTTP signatures) but require continuous scanning to detect deltas. Subspace's daily crawl picks up the changes ChatGPT can only describe at a snapshot in time.
Q04Compare my 27 SaaS vendors against the same operational health benchmark.
ChatGPT (typical)
I can compare a few companies at a time qualitatively, but I can't run a structured score across 27 vendors. You'd need to ask me about each one individually and synthesize the results yourself.
Subspace
All 27 vendors scored 0-100 on operational stability (composite of hiring velocity, eng team stability, infrastructure investment, ATS health, ghost rate). Sorted: 6 Healthy, 14 Stable, 4 Watch, 3 At Risk. Each score broken down by signal with sources.
Why: Requires a structured scoring engine running against a uniform feature set per company. ChatGPT has no concept of a normalized benchmark — every answer is bespoke prose. Subspace gives you the same lens applied to every vendor in your list.
▸ The pattern

Cross-vendor analysis. Longitudinal monitoring. Structured scoring. None of these are chatbot problems — they're database problems. ChatGPT is not the wrong tool because it's bad. It's the wrong tool because the question requires data that doesn't exist on the open web in queryable form. Subspace built that data.

Try it on a vendor you use →