Discoverable Mini-Judgements

MiniJudge Example Gallery

Explore how teams filter Apollo exports, app store reviews, customer support queues, and social threads without coding scripts.

Lead Judge 3D Chart

SaaS Leads

lead judge
500 → 37
Target Instruction:

“Find B2B software companies with 10–100 employees in Europe that could need video localization. Exclude agencies and consultancies.”

Sample Dataset:500 companies
Expected Outcome:37 qualified
Review Judge 3D Star

App Reviews

review judge
1,000 → 42
Target Instruction:

“Surface reviews mentioning app crashes, data loss, login blocking, or double-billing after the latest v2 update. Exclude generic 1-star complaints about price.”

Sample Dataset:1,000 reviews
Expected Outcome:42 critical bugs
Support Judge 3D Chat

Support Tickets

support judge
500 → 19
Target Instruction:

“Flag tickets involving production downtime, database connection failures, security breaches, or Enterprise SLA breaches. Exclude password resets.”

Sample Dataset:500 tickets
Expected Outcome:19 urgent
Pain Judge 3D Icon

Reddit Posts

pain judge
1,000 → 28
Target Instruction:

“Find posts where users are actively asking for paid software recommendations or complaining that existing tools are too slow for their specific workflow.”

Sample Dataset:1,000 posts
Expected Outcome:28 high intent
Lead Judge 3D Chart

Apollo.io Leads

saas lead-judge
500 → 48
Target Instruction:

“Isolate VP, Director, and C-Level decision makers in B2B software with verified business emails. Exclude interns, freelancers, catch-all domains, and personal Gmail/Yahoo accounts.”

Sample Dataset:500 contacts
Expected Outcome:48 qualified
CSV Judge 3D Grey Cube

Shopify Catalog

custom judge
500 → 34
Target Instruction:

“Find broken product listings: items with missing SKUs, zero or free price (0.00), negative inventory stock, or missing hero images. Exclude normal active items.”

Sample Dataset:500 items
Expected Outcome:34 catalog bugs