Now in public beta

Your product is
trying to tell you
something.

Vela watches every event, finds the patterns that matter, and tells you what changed and why — before you have to ask.

Conversion up +18.4% vs. last 7 days
Mobile activation ↓ 23% drop detected · 2h ago
Churn risk 142 users in cohort · week 3
vela — insight feed
13:04 Anomaly detected: checkout funnel dropped 12% on iOS since Tuesday. Root cause appears to be a latency regression on the payment confirmation screen.
09:17 Churn signal: 38 users who completed onboarding but never reached the second session. 91% on the free tier.
yesterday Weekly digest: activated users up 31% week-over-week. New cohort from Product Hunt launch performing 2.4x above baseline.
05:00 Report ready: Q1 activation analysis. Key finding — users who complete the in-app tour have 67% higher 30-day retention.
vela> why did revenue drop this week?
vela Three factors converged this week. (1) Enterprise cohort — your 3 largest accounts all on quarterly renewal cycles, no new expansion. (2) Pricing page bounce rate +19% — likely caused by the pricing restructure on March 3rd. (3) Trial-to-paid conversion dropped 8% — your onboarding email sequence has a gap on day 4 where users lose momentum. Recommend addressing (3) first.
How it works

Three steps. Zero dashboards.

Vela replaces the ritual of building reports and checking dashboards. It runs continuously and speaks when it has something worth saying.

01

Ingest

Connect your app in minutes. Vela listens to every event — page views, clicks, signups, upgrades, errors. No manual tracking plans required. It figures out your product structure automatically.

user.signup just now
feature.activated 2s ago
checkout.completed 4s ago
error.payment_timeout 11s ago
02

Analyze

Vela's models run continuously. They know what healthy looks like for your product — and they know when something drifts. Anomaly detection that actually works, without you defining thresholds.

Checkout conversion · 30 days
↓ 23% iOS · Mar 3
03

Answer

Get alerts with full context — what changed, by how much, and what likely caused it. Ask questions in plain English. Vela answers from your actual data, not generic benchmarks.

"Why is our trial conversion falling?"
Users are dropping at step 3 of onboarding (importing data). The step takes an average of 8 minutes and has a 62% abandonment rate. Competitors make this step optional. Recommend reducing friction at this step first.
Why it matters

Dashboards are for computers.
Insight is for humans.

24/7 monitoring without the monitoring

Vela doesn't wait for you to open a dashboard. It speaks when something matters — on your terms, at a frequency you choose.

Auto-segmentation that actually segments

Not "users by country" — Vela finds the meaningful segments. The ones where behavior diverges and outcomes differ. You get the signal, not the noise.

No dashboard, no SQL, no setup

Connect your product. Vela is useful in the first hour. You don't define reports, build funnels, or configure anything. It learns your product and starts contributing immediately.

Root cause, not just correlation

Vela doesn't just flag anomalies. It reasons through probable causes by cross-referencing events, segments, and historical patterns. You get the why, not just the what.

Anomaly detected
Churn signal
Trend shift
Opportunity found
"

We built Vela because we were tired of building dashboards for products we'd already shipped. The insight usually arrives three weeks too late, or it doesn't arrive at all because nobody thought to look.

Vela is built for people who ship fast and need to know what's actually happening — not what's happening in the report someone built last quarter.

Built for builders who move fast.

Every metric tells a story.
Most analytics tools just show the numbers.

Vela finds the story before it becomes a problem — and tells you exactly what to do about it.

Ready when you are.