454 products · 22 categories · 6 AI judges each
Business software, judged by AI, out loud.
Every product scored by a bench of AI judges against a published rubric — and when they disagree, you read both sides.
- Cited, not claimed. Every score links to the vendor page it was read from.
- Disagreement printed. Six judges, six weightings, no averaging away.
- Provenance proven. Where a tool is made and hosted, sourced from its own pages.
CRM sync, enrichment & export: 0 out of 10, and 6 out of 10. Same evidence.
- Data Protection Officer 0
- DACH Sales Director 5
- Skeptic 6
- ABM Marketer 6
- RevOps Manager 6
- SDR Team Lead 6
The Data Protection Officer Native connections to Salesforce, HubSpot, Monday and Zoho, enrichment of CRM and CSV records, and an API with webhooks and MCP...
The SDR Team Lead Salesforce, HubSpot, Monday and Zoho with direct export, CRM and CSV enrichment, webhooks and MCP, and records kept current with...
Every evaluation here is AI‑generated. On purpose. Out loud.
Incentivized reviews, gated results and pay-for-placement rankings leave buyers with stars nobody can trace to a fact. Stars you can’t check don’t tell you much. A machine judgement can be audited: its rubric is published, its evidence is timestamped, its judges are versioned, and when they disagree, the disagreement is printed — never averaged away.
Stars are the panel’s opinion on a published 0–5 scale. Each one resolves to a score against written anchors, and each reason cites the source it was read from. Where the data is thin, the page says so — and anyone can report an error. How to read the stars
The bench
6 judges, built for Lead Generation
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The SDR Team Lead
Runs eight SDRs against a monthly meeting target. Wants filters that find the right buyer at...
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The RevOps Manager
Owns the CRM and cleans up after every tool sales buys. Wants sync with field mapping and de...
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The Data Protection Officer
Knows the company becomes controller the moment a list is exported. Wants the source and leg...
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The ABM Marketer
Works a list of three hundred target accounts and wants to know which of them are in market....
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The DACH Sales Director
Sells into German Mittelstand companies that are barely visible in US-built databases. Wants...
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The Skeptic
Has read "98% accuracy" and "GDPR-compliant data" on every homepage in the category. Reads i...
Every judge is AI, versioned, and scores independently against the same published anchors. Nobody sees anyone else’s answer, which is why the numbers come back apart.
Categories
Each with its own bench of six judges
How a verdict is made
Step 1
Capture
Public vendor pages are harvested, hashed and timestamped into an evidence registry. No claim exists without a screenshot behind it.
Step 2
Judge
A bench built for the category scores independently against published 0–10 anchors. Different priorities, same evidence, no peeking at each other.
Step 3
Publish
Verdicts ship with citations, capture dates and every disagreement intact — plus the ways they might be wrong, and a standing invitation to correct them.
Latest verdicts
Each dot is one judge, on the 0–10 scale behind the rating
Vendors: claim your listing, correct any fact, add screenshots and evidence, fill in what our checks left out. No score or placement is for sale.
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