Rezit.io (RezIt)

Verified-hiring-signal corpus built under the surface of a candidate-facing job tool: the platform claims to distinguish companies genuinely hiring from employers merely posting, via 'real hiring signals' and verified data, plus a ghost-job/fake-posting validation layer (its 'Ghost Job Buster' checks postings against company profiles and candidate-experience scores) and CV-to-job verification scoring. The published blog demonstrates the derived metrics it can compute — e.g. tracking that a cohort of 49,376 postings filled within minutes — on top of a job-posting and application-flow index it maintains across postings it validates.

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Coverage

Universe, instruments and categories.

Industry: Application Software
Instruments: equities
Categories: AlternativeSentiment

Dataset card

Type: not stated
Format: Tabular with text — structured posting-validation records and per-employer hiring-signal scores, plus CV/job text used for matching verification
Volume: Unstated — the platform validates job postings continuously across a US/global index and cites cohorts such as 49,376 postings that filled in minutes, implying a validated-postings table in at least the tens of thousands and growing; no total is published
Users: Request further research — sub-scale London startup founded 2025 with a single reported employee and no published user counts, app-store ranking evidence or traffic figures in anything gathered; a plausible working assumption is <10K users, but no signal in the record pins the number
History: 1 years
Update frequency: not stated
Growth: Uncertain — active content marketing into 2026 (dated benchmark posts), but company profiles currently report the site itself intermittently unavailable and the corporate footprint is one person; treat as pre-revenue/very-early rather than scaling
Launched: ~2025 (LinkedIn company record: London-based, founded 2025; blog output is 2026-dated)
Delivery: not stated
Entity mapping: not stated
Sample: not stated
Point-in-time: not stated
Licence: not stated

supplier index read from their site