Vibe Analytics · self-serve on-ramp
prompt appbecomesprompt + data agent

Vibe coding let anyone build.
Vibe Analytics lets anyone decide.

Vibe coding turned a prompt into a working app, a multiplier for engineers and a front door for everyone else. Vibe Analytics does the same for analysis: a prompt plus your data becomes a working agent for the KPI you own.

No credit card required·~15 min to get started

What is Vibe Analytics?
vs
Vibe coding
"Build me a landing page"prompt
A working app
A multiplier for developers, and a way for non-developers to build.
Vibe Analytics
"Watch approval rate by issuer"prompt
Your payments datadata
An Approval Tracking Agent
A multiplier for analysts, and a way for everyone else to do the analysis.
What Vibe Analytics is

A prompt plus your data,
built into a working agent.

Not a generic answer. Not a blank dashboard. The output is an agent for one specific revenue or operational job: it watches a KPI, flags meaningful movement, explains what changed, and recommends the next step.

For analysts & BI teams
A multiplier on the work you already do

Start from a prompt and your data. Bicycle drafts the first alert, story, dashboard, and investigation. You review, tune, and publish.

  • Draft-first, never silently published
  • Visible metric definitions, segments, and evidence
  • Fewer repetitive first-pass requests in the queue
For business & ops KPI owners
A front door for everyone else

You own the number, but the explanation is scattered. Bicycle gives you a daily agent for the KPI you own, without becoming an analyst.

  • No blank dashboard: the first answer is the front door
  • What changed, why it matters, where to focus
  • Drill deeper without filing a ticket

Vibe coding turned building software into a prompt. Vibe Analytics turns analysis into a proactive agent, one that watches your real data and real definitions, then brings the answer and the next step without being asked.

What to expect

One agent. Four ways to get the answer.

Connect or upload data, and the agent comes to life across the surfaces your team already lives in: alerts, stories, chat, and dashboards. All from the same KPI and the same approved definitions.

Alerts
KPI movement, caught before anyone has to ask
Approval rate · cross-border −6.7pp
Search conv · Midwest −18%
Bookability · Northbound +2.3%
Data stories
The WBR / QBR narrative, written for you
Weekly story Week of 19 May 2026
Why approval rate fell 6.7pp this week
Chase
−4.2pp
Citi
−1.5pp
BofA
−0.9pp
Other
−0.6pp
Read this as
Three issuers drove 71% of the drop
Cross-border BINs only: domestic unchanged
Started Tue 14:00, after model deploy
Chat
Follow-ups, already grounded in the right data
Which issuers drove the drop?
Three issuers account for 71% of the decline, concentrated in cross-border BINs after Tuesday's model deploy.
Chase
−4.2pp
Citi
−1.5pp
BofA
−0.9pp
Dashboards
A saved view for the segments that matter
Approval rate · 7d
−7dToday
Decline by issuer
ChaseCitiBofAOther
And one recommended next step, with evidence and guardrails

Every agent ends a cycle the same way: what changed, why it matters, where to focus, and what to do next, routed to the owner, with the evidence it checked and the actions it ruled out.

Proactive, not conversational

Not conversational analytics.
A proactive agent for the KPI you own.

Conversational analytics waits for you to know what to ask. A proactive agent watches the metric, scans the dimensions, and prepares the first explanation, then brings it to you before anyone asks.

Conversational analytics
Waits for you to ask
1You have to suspect something is wrong
2You phrase the right question
3It generates an answer, you hope it's right
4You ask 20 more to find the cause
A proactive agent
Brings the answer before you ask
Watches the metric and its dimensions
Detects meaningful movement first
Tests likely causes, shows the evidence
Hands you a next step you can act on
Everyone can ask. Data & Analytics governs what becomes shared truth.

Self-service that starts with value and scales with governance: not everyone authoring everything, and not a free-for-all of unreviewed charts.

Business users
The answer path
  • Ask, consume, subscribe, and request
  • Outputs in business language: stores, routes, issuers
  • Move faster without filing a ticket
Data & Analytics
The control path
  • Define, review, approve, and publish
  • Own definitions, evidence, access, and audit
  • Every draft is reviewable before it publishes
Pick your entry path

Different jobs need different front doors.

Self-service does not mean everyone sees the same starting screen. Choose the role that fits: the first question, the first value, and the first agent change with it.

Supported verticals

Start with your most critical KPIs.

Four high-velocity verticals, each with the sub-verticals it fits, the roles it serves, and the first agents worth building. Pick one to see the starting points.

How to get started

One KPI. One agent. Two weeks.

The trial is a focused activation path, not a sandbox. It ends with a working agent, not an implementation checklist.

prompt + data alerts · stories · chat · dashboards · next step
Day 0
Pick the job

Choose a persona, a vertical, and the one KPI you already care about.

Days 1–2
Connect data

Sample data, CSV upload, a connector, or your warehouse, whatever's fastest.

Days 3–4
First answer

Bicycle proposes the KPI, dimensions, first alert, story, and dashboard. No blank state.

Days 5–10
Review & publish

Data & Analytics validates definitions and evidence; business confirms the language. Then ship it.

Days 11–14
Measure & expand

Was it trusted? Used? Faster? Decide whether to add the next agent.

1
It finds something useful

Bicycle identifies a real movement, pattern, or issue worth reviewing in your data.

2
Business users consume it

Someone subscribes to an alert or story and understands the issue faster, without becoming an analyst.

3
Data & Analytics keeps control

A definition, rule, or asset is approved. Evidence and publishing stay governed throughout.

The trial is not a full BI replacement, a data transformation project, or a promise that every dataset is production-ready in two weeks. It's one revenue or operational workflow, proven end to end, with a clear bridge to enterprise governance when you're ready.

Common questions

Before you start.

Bring one KPI.
Leave with a working agent.

Start from a use case, not a blank canvas. In two weeks, Vibe Analytics turns your prompt and your data into alerts, stories, chat, dashboards, and a recommended next step.

No credit card required

No credit card required Start for free