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Calculator, captable, careers, cloud, compare, contact and contact-sales, customers, dashboards, dataroom, datastore, dev, download, enso, enterprise, extension, family, integrations, investors, kai, learn, legal and their components say their words through t() in client code, <T> in server components and phrase() where copy is held as data; one sentence is one key, figures and links its arguments. Rebased on main: in every conflict main's file stands (its copy, layout and styling) and only the wrapping is added back, including copy main added since. Claude-Session: https://claude.ai/code/session_015XYKLjZtDTJEnMo4eK3AFH
105 lines
5.2 KiB
TypeScript
105 lines
5.2 KiB
TypeScript
'use client'
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import type { ReactNode } from 'react'
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import { ArrowRight, Filter, Flag, FlaskConical, LineChart, Play, Users } from 'lucide-react'
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import { OSSRevenueBanner } from '@/components/oss/OSSRevenueBanner'
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import { ProductLanding } from '@/components/product/ProductLanding'
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import { ProductFooter } from '@/components/products/ProductFooter'
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import { useI18n } from '@hanzo/i18n/react'
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/**
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* Insights, through the ONE product kit.
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*
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* One of NINE pages — console, insights, kms, kv, mq, pubsub, sql, storage,
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* stream — that shared a class set 100%: the same hero, stat row, six-card
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* grid, terminal and call to action, written out nine times in ~310 utility
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* classes each. They now pass one typed props object to `ProductLanding` and
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* carry zero layout classes. See LLM.md, "Tailwind is NOT gone", for the rule.
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*
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* EVERY WORD IS THE ONE THAT WAS HERE, the four stat tiles included: 28 of the
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* group's 36 carry a port, a version, a licence or a coding the prose does not
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* (measured), so unlike /ledger's four they are not restatements and they stay.
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*
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* One fix the move makes by construction: ProductFooter sat INSIDE the final
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* card's `max-w-4xl` wrapper on all nine, so the OSS attribution and deploy
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* block rendered narrower here than on every other product page.
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*/
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export default function InsightsPage({ source }: { source: ReactNode }) {
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const { t } = useI18n()
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return (
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<>
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<ProductLanding
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badge={"insights.hanzo.ai"}
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badgeIcon={LineChart}
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title={"Hanzo Insights"}
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tagline={t("Product analytics and feature flags")}
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lede={t("Every event your product emits lands in one place, and the questions you ask of it are the same ones you would ask of a database — funnels and retention when a chart will do, SQL when it will not. The flag that turned a feature on and the recording of someone using it are in that same place, so \"did this change work\" is one product rather than three.")}
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ctas={[
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{ label: t("Open Insights"), href: "https://insights.hanzo.ai", icon: ArrowRight },
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]}
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what={{
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title: t("Ship it, then find out"),
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sub: t("The rollout and the measurement are the same product, so the loop closes."),
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pillars: [
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{
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icon: LineChart,
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title: t("Events, and SQL when you need it"),
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body: t("Autocapture gets you data before you have instrumented anything, and named events get you data you can trust. When a chart cannot express the question, write the query instead — it is the same table underneath."),
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},
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{
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icon: Flag,
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title: t("Feature flags"),
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body: t("Roll out to a percentage, a cohort, or one account. The flag is also a kill switch, which is the reason to reach for one: turning a feature off should not require a deploy at the worst possible moment."),
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},
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{
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icon: Play,
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title: t("Session replay"),
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body: t("Watch what actually happened. Heatmaps and scroll depth tell you where attention went; a replay tells you why someone gave up, which no funnel ever will."),
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},
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{
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icon: FlaskConical,
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title: t("Experiments"),
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body: t("An experiment is a flag with a metric attached to it. Pick the goal before you start, and let it run until the result means something rather than until it looks good."),
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},
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{
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icon: Filter,
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title: t("Funnels, retention and paths"),
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body: t("Funnels show where people stop, retention shows whether they came back, and paths show the route nobody designed. The third one is usually where the surprise is."),
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},
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{
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icon: Users,
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title: t("Errors and LLM cost"),
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body: t("Error tracking sits beside the analytics, so a spike in rage clicks and the exception behind it are one investigation. If your product calls a model, the traces, latency and cost per generation land here too."),
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},
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],
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}}
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stats={{
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items: [
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{ value: t("Events"), label: t("Auto-capture") },
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{ value: t("Flags"), label: t("Feature flags") },
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{ value: "A/B", label: t("Experiments") },
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{ value: "OSS", label: t("Self-hosted") },
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],
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}}
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code={{
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head: { title: t("The flag and the event, in one provider") },
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name: "app.tsx",
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source,
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}}
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finalCta={{
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title: t("Start with autocapture"),
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sub: t("Drop the provider in and you have data by this afternoon. Name the events that matter once you know which ones those are. There is a free tier, and the whole thing is open source if you would rather run it yourself."),
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buttons: [
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{ label: t("Try Hanzo"), href: "/login", icon: ArrowRight },
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{ label: t("View on GitHub"), href: "https://github.com/hanzoai/insights" },
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],
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}}
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>
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<OSSRevenueBanner />
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</ProductLanding>
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<ProductFooter slug={"insights"} name={"Insights"} />
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</>
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)
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}
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