Live from production
Transparent numbers. Real production.
We don’t hide behind vanity metrics. Here’s what Zikit is doing right now - directly from the production database, refreshed every 30 minutes.
Last updated:
Noise suppression · lifetime
Zikit ran 20,307 checks and surfaced only 1,845 meaningful changes.
That is 1 meaningful alert per 11 checks - the other 99%+ was cache hits, timestamp noise, carousels, and paraphrased content that the pipeline correctly skipped. This is the number no raw-diff tool can show.
Active monitors
10
Teams
13
Registered users
13
Snapshots captured
19,778
Meaningful changes · 24h
0
Meaningful changes · 7 days
0
Meaningful changes · 30 days
11
Meaningful catches per day · last 30 days
avg 0/day · peak 1 on 2026-06-27
Daily throughput from Zikit’s production change-detection pipeline. Each bar is one UTC day. Quiet days (weekends, holidays) show lower counts; vendor-launch days spike.
Importance-score distribution · last 30 days
16 meaningful changes scored
Every meaningful change gets an AI-assigned importance score 1-10. This is the actual distribution across Zikit production. Alerts only fire at or above your threshold (default: 5) - everything below stays in the dashboard but doesn’t ping anyone.
Scores above the threshold (shown in jade) are what actually triggers Slack / Telegram / Discord / email. No competitor publishes this distribution because none of them score importance at all.
What kind of changes we catch · last 30 days
11 meaningful changes classified
The AI tags each meaningful change with a type. Content edits dominate (copy rewrites), but price/structure/removal/addition flags are the business-critical ones.
Top hosts by catches · last 30 days
across every tracked URL on the host
Which vendors actually change the most. Each bar counts meaningful changes (importance 3+) detected on any URL under that host over the last 30 days. Live from production.
Why show these numbers publicly?
Most monitoring SaaS products hide usage data behind marketing copy. We think the opposite is more honest: if the product works, the numbers speak for themselves. If it doesn’t, hiding them won’t save us.
Monitor, snapshot, and change counts are every-account totals including our own internal monitoring. "Teams" and "Registered users" exclude the small handful of internal / demo accounts we run for QA so those two counts reflect real external signups only. Want to see the actual changes Zikit catches? Check the live feed or tracked domains.
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