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a tool for shared writing and social publishing
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TypeScript
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import { defineDatasource, defineEndpoint, Tinybird, defineToken, node, t, p, engine, type InferRow, type InferParams, type InferOutputRow, TokenDefinition,} from "@tinybirdco/sdk";
// The token the app runs with (TINYBIRD_TOKEN in prod and the appview): reads// every endpoint and appends user events.const PROD_TOKEN = defineToken("prod_read_token_v1");const PROD_TOKEN_READ = { token: PROD_TOKEN, scope: "READ" } as const;
// ============================================================================// Datasources// ============================================================================
/** * Vercel Web Analytics drain events. * Column names match the Vercel drain JSON keys exactly. * `timestamp` is stored as UInt64 (Unix millis) as sent by Vercel. */export const analyticsEvents = defineDatasource("analytics_events", { description: "Vercel Web Analytics drain events", schema: { timestamp: t.uint64(), eventType: t.string().lowCardinality(), eventName: t.string().default(""), eventData: t.string().default(""), sessionId: t.uint64().nullable(), deviceId: t.uint64(), origin: t.string(), path: t.string(), referrer: t.string().default(""), queryParams: t.string().default(""), route: t.string().default(""), country: t.string().lowCardinality().default(""), region: t.string().default(""), city: t.string().default(""), osName: t.string().lowCardinality().default(""), osVersion: t.string().default(""), clientName: t.string().lowCardinality().default(""), clientType: t.string().lowCardinality().default(""), clientVersion: t.string().default(""), deviceType: t.string().lowCardinality().default(""), deviceBrand: t.string().default(""), deviceModel: t.string().default(""), browserEngine: t.string().default(""), browserEngineVersion: t.string().default(""), sdkVersion: t.string().default(""), sdkName: t.string().default(""), sdkVersionFull: t.string().default(""), vercelEnvironment: t.string().lowCardinality().default(""), vercelUrl: t.string().default(""), flags: t.string().default(""), deployment: t.string().default(""), schema: t.string().default(""), projectId: t.string().default(""), ownerId: t.string().default(""), dataSourceName: t.string().default(""), }, engine: engine.mergeTree({ sortingKey: ["origin", "timestamp"], partitionKey: "toYYYYMM(fromUnixTimestamp64Milli(timestamp))", }),});
export type AnalyticsEventsRow = InferRow<typeof analyticsEvents>;
/** * Retired 2026-09-10: subscribe/unsubscribe are user_events now, and the * app-origin rows here were backfilled into it * (scripts/backfill-user-events-subscriptions.mts). Nothing writes or reads * this datasource; the definition stays so a deploy keeps the raw history. */export const subscriptionEvents = defineDatasource("subscription_events", { description: "Publication subscribe/unsubscribe events", schema: { timestamp: t.uint64(), event: t.string().lowCardinality(), // subscribe | unsubscribe method: t.string().lowCardinality(), // atproto | email origin: t.string().lowCardinality(), // app | firehose publication_uri: t.string(), publication_did: t.string().default(""), // Stable per-subscriber id for uniq(): a DID, or sha256 of the email. subscriber: t.string().default(""), // AT-URI of the subscription record (empty for email-only subscriptions). record_uri: t.string().default(""), source_placement: t.string().lowCardinality().default(""), // Referring publication when the subscribe came from another // publication's recommendations. source_publication: t.string().default(""), source_url: t.string().default(""), }, engine: engine.mergeTree({ sortingKey: ["publication_uri", "timestamp"], partitionKey: "toYYYYMM(fromUnixTimestamp64Milli(timestamp))", }),});
export type SubscriptionEventsRow = InferRow<typeof subscriptionEvents>;
/** * Signed-in user events, ingested server-side (see src/activeUserAnalytics.ts). * `event` names what happened; `properties` carries per-event context so new * attributes don't need schema changes. Unthrottled, so the endpoints below * dedupe per identity at query time. */export const userEvents = defineDatasource("user_events", { description: "Product events for signed-in identities", schema: { timestamp: t.uint64(), identity_id: t.string(), did: t.string().default(""), event: t.string().lowCardinality(), // see UserEvent in src/activeUserAnalytics.ts properties: t.map(t.string(), t.string()), }, engine: engine.mergeTree({ sortingKey: ["timestamp", "identity_id"], partitionKey: "toYYYYMM(fromUnixTimestamp64Milli(timestamp))", }), tokens: [{ token: PROD_TOKEN, scope: "APPEND" }],});
export type UserEventsRow = InferRow<typeof userEvents>;
// ============================================================================// Endpoints// ============================================================================
/** * publication_traffic – daily pageview time series for a publication domain. */export const publicationTraffic = defineEndpoint("publication_traffic", { description: "Daily pageview time series for a publication domain", params: { domains: p.string(), date_from: p.string().optional(), date_to: p.string().optional(), path: p.string().optional(), referrer_host: p.string().optional(), bsky_post: p.string().optional(), }, tokens: [PROD_TOKEN_READ], nodes: [ node({ name: "endpoint", sql: ` SELECT toDate(fromUnixTimestamp64Milli(timestamp)) AS day, count() AS pageviews, uniq(deviceId) AS visitors FROM analytics_events WHERE eventType = 'pageview' AND domain(origin) IN splitByChar(',', {{String(domains)}}) {% if defined(date_from) %} AND fromUnixTimestamp64Milli(timestamp) >= parseDateTimeBestEffort({{String(date_from)}}) {% end %} {% if defined(date_to) %} AND fromUnixTimestamp64Milli(timestamp) <= parseDateTimeBestEffort({{String(date_to)}}) {% end %} {% if defined(path) %} AND path = {{String(path)}} {% end %} {% if defined(referrer_host) %} AND domain(referrer) = {{String(referrer_host)}} {% end %} {% if defined(bsky_post) %} AND JSONExtractString(queryParams, 'utm_source') = 'bluesky' AND JSONExtractString(queryParams, 'utm_content') = {{String(bsky_post)}} {% end %} GROUP BY day ORDER BY day ASC `, }), ], output: { day: t.date(), pageviews: t.uint64(), visitors: t.uint64(), },});
export type PublicationTrafficParams = InferParams<typeof publicationTraffic>;export type PublicationTrafficOutput = InferOutputRow< typeof publicationTraffic>;
/** * publication_top_referrers – top referring domains for a publication. */export const publicationTopReferrers = defineEndpoint( "publication_top_referrers", { tokens: [PROD_TOKEN_READ], description: "Top referrers for a publication domain", params: { domains: p.string(), date_from: p.string().optional(), date_to: p.string().optional(), path: p.string().optional(), referrer_host: p.string().optional(), bsky_post: p.string().optional(), limit: p.int32().optional(10), }, nodes: [ node({ name: "endpoint", sql: ` SELECT domain(referrer) AS referrer_host, count() AS pageviews FROM analytics_events WHERE eventType = 'pageview' AND domain(origin) IN splitByChar(',', {{String(domains)}}) AND referrer != '' AND domain(referrer) NOT IN splitByChar(',', {{String(domains)}}) {% if defined(date_from) %} AND fromUnixTimestamp64Milli(timestamp) >= parseDateTimeBestEffort({{String(date_from)}}) {% end %} {% if defined(date_to) %} AND fromUnixTimestamp64Milli(timestamp) <= parseDateTimeBestEffort({{String(date_to)}}) {% end %} {% if defined(path) %} AND path = {{String(path)}} {% end %} {% if defined(referrer_host) %} AND domain(referrer) = {{String(referrer_host)}} {% end %} {% if defined(bsky_post) %} AND JSONExtractString(queryParams, 'utm_source') = 'bluesky' AND JSONExtractString(queryParams, 'utm_content') = {{String(bsky_post)}} {% end %} GROUP BY referrer_host ORDER BY pageviews DESC LIMIT {{Int32(limit, 10)}} `, }), ], output: { referrer_host: t.string(), pageviews: t.uint64(), }, },);
export type PublicationTopReferrersParams = InferParams< typeof publicationTopReferrers>;export type PublicationTopReferrersOutput = InferOutputRow< typeof publicationTopReferrers>;
/** * publication_top_pages – top pages by pageviews for a publication. */export const publicationTopPages = defineEndpoint("publication_top_pages", { description: "Top pages for a publication domain", tokens: [PROD_TOKEN_READ], params: { domains: p.string(), date_from: p.string().optional(), date_to: p.string().optional(), referrer_host: p.string().optional(), bsky_post: p.string().optional(), limit: p.int32().optional(10), }, nodes: [ node({ name: "endpoint", sql: ` SELECT path, count() AS pageviews FROM analytics_events WHERE eventType = 'pageview' AND domain(origin) IN splitByChar(',', {{String(domains)}}) {% if defined(date_from) %} AND fromUnixTimestamp64Milli(timestamp) >= parseDateTimeBestEffort({{String(date_from)}}) {% end %} {% if defined(date_to) %} AND fromUnixTimestamp64Milli(timestamp) <= parseDateTimeBestEffort({{String(date_to)}}) {% end %} {% if defined(referrer_host) %} AND domain(referrer) = {{String(referrer_host)}} {% end %} {% if defined(bsky_post) %} AND JSONExtractString(queryParams, 'utm_source') = 'bluesky' AND JSONExtractString(queryParams, 'utm_content') = {{String(bsky_post)}} {% end %} GROUP BY path ORDER BY pageviews DESC LIMIT {{Int32(limit, 10)}} `, }), ], output: { path: t.string(), pageviews: t.uint64(), },});
export type PublicationTopPagesParams = InferParams<typeof publicationTopPages>;export type PublicationTopPagesOutput = InferOutputRow< typeof publicationTopPages>;
/** * publication_bsky_traffic – pageviews attributed to specific Bluesky posts. * * Links we embed in Bluesky posts carry utm_source=bluesky and * utm_content=<did>/<rkey> (see src/utils/bskyPostUtm.ts), so grouping by * utm_content yields per-post traffic. queryParams is a JSON-encoded object. */export const publicationBskyTraffic = defineEndpoint( "publication_bsky_traffic", { description: "Pageviews per referring Bluesky post for a publication", tokens: [PROD_TOKEN_READ], params: { domains: p.string(), date_from: p.string().optional(), date_to: p.string().optional(), path: p.string().optional(), limit: p.int32().optional(25), }, nodes: [ node({ name: "endpoint", sql: ` SELECT JSONExtractString(queryParams, 'utm_content') AS post_ref, count() AS pageviews, uniq(deviceId) AS visitors FROM analytics_events WHERE eventType = 'pageview' AND domain(origin) IN splitByChar(',', {{String(domains)}}) AND JSONExtractString(queryParams, 'utm_source') = 'bluesky' AND JSONExtractString(queryParams, 'utm_content') != '' {% if defined(date_from) %} AND fromUnixTimestamp64Milli(timestamp) >= parseDateTimeBestEffort({{String(date_from)}}) {% end %} {% if defined(date_to) %} AND fromUnixTimestamp64Milli(timestamp) <= parseDateTimeBestEffort({{String(date_to)}}) {% end %} {% if defined(path) %} AND path = {{String(path)}} {% end %} GROUP BY post_ref ORDER BY pageviews DESC LIMIT {{Int32(limit, 25)}} `, }), ], output: { post_ref: t.string(), pageviews: t.uint64(), visitors: t.uint64(), }, },);
export type PublicationBskyTrafficParams = InferParams< typeof publicationBskyTraffic>;export type PublicationBskyTrafficOutput = InferOutputRow< typeof publicationBskyTraffic>;
// ============================================================================// Active users// ============================================================================
const USER_EVENT_DAY_SQL = "toDate(fromUnixTimestamp64Milli(timestamp))";
// Per-period event counts (not distinct identities) shared by both active-user// endpoints. `posts_published` counts only first publishes: republishing an// edit is a `publish` event too, but not a new post.const ACTIVITY_COUNT_SQL = ` countIf(event = 'signup') AS signups, countIf(event = 'create_document') AS documents_created, countIf(event = 'publish' AND properties['first_publish'] = 'true') AS posts_published, countIf(event = 'create_publication') AS publications_created, countIf(event = 'subscribe') AS subscribes, countIf(event = 'unsubscribe') AS unsubscribes, countIf(event = 'join_membership') AS memberships_joined, countIf(event = 'pro_upgrade') AS pro_upgrades, countIf(event = 'pro_cancel') AS pro_cancels, countIf(event = 'connect_onboarding_started') AS connect_onboardings_started, countIf(event = 'connect_account_enabled') AS connect_accounts_enabled`;const ACTIVITY_COUNT_OUTPUT = { signups: t.uint64(), documents_created: t.uint64(), posts_published: t.uint64(), publications_created: t.uint64(), subscribes: t.uint64(), unsubscribes: t.uint64(), memberships_joined: t.uint64(), pro_upgrades: t.uint64(), pro_cancels: t.uint64(), connect_onboardings_started: t.uint64(), connect_accounts_enabled: t.uint64(),};
/** * active_users_timeseries – distinct identities with any event per calendar * period (weeks start on Monday), plus activity counts for the period. * `pro_active` counts identities that were Pro on at least one event in the * period (events are stamped with the status at the time), so an identity that * flips mid-period counts as Pro. */export const activeUsersTimeseries = defineEndpoint("active_users_timeseries", { description: "Distinct active identities per day/week/month", tokens: [PROD_TOKEN_READ], params: { granularity: p.string().optional("day"), // day | week | month date_from: p.string().optional(), date_to: p.string().optional(), }, nodes: [ node({ name: "endpoint", sql: ` SELECT multiIf( {{String(granularity, 'day')}} = 'month', toStartOfMonth(${USER_EVENT_DAY_SQL}), {{String(granularity, 'day')}} = 'week', toMonday(${USER_EVENT_DAY_SQL}), ${USER_EVENT_DAY_SQL} ) AS period, uniqExact(identity_id) AS active, uniqExactIf(identity_id, properties['pro'] = 'true') AS pro_active, ${ACTIVITY_COUNT_SQL} FROM user_events WHERE 1 {% if defined(date_from) %} AND ${USER_EVENT_DAY_SQL} >= toDate({{String(date_from)}}) {% end %} {% if defined(date_to) %} AND ${USER_EVENT_DAY_SQL} <= toDate({{String(date_to)}}) {% end %} GROUP BY period ORDER BY period ASC `, }), ], output: { period: t.date(), active: t.uint64(), pro_active: t.uint64(), ...ACTIVITY_COUNT_OUTPUT, },});
export type ActiveUsersTimeseriesParams = InferParams< typeof activeUsersTimeseries>;export type ActiveUsersTimeseriesOutput = InferOutputRow< typeof activeUsersTimeseries>;
/** * active_users_windows – distinct identities and activity counts over the last * 1, 7 and 30 calendar days (UTC, including today), one row per window. */export const activeUsersWindows = defineEndpoint("active_users_windows", { description: "Distinct active identities over the last 1/7/30 calendar days", tokens: [PROD_TOKEN_READ], params: {}, nodes: [ node({ name: "endpoint", sql: ` SELECT window_days, uniqExact(identity_id) AS active, uniqExactIf(identity_id, properties['pro'] = 'true') AS pro_active, ${ACTIVITY_COUNT_SQL} FROM user_events ARRAY JOIN [1, 7, 30] AS window_days WHERE ${USER_EVENT_DAY_SQL} > today() - window_days GROUP BY window_days ORDER BY window_days ASC `, }), ], output: { window_days: t.uint8(), active: t.uint64(), pro_active: t.uint64(), ...ACTIVITY_COUNT_OUTPUT, },});
export type ActiveUsersWindowsOutput = InferOutputRow< typeof activeUsersWindows>;
// ============================================================================// Client// ============================================================================
export const tinybird = new Tinybird({ datasources: { analyticsEvents, subscriptionEvents, userEvents }, pipes: { publicationTraffic, publicationTopReferrers, publicationTopPages, publicationBskyTraffic, activeUsersTimeseries, activeUsersWindows, }, devMode: false,});