Entity trail

Looker

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

Findings

Edges

Sources

Corpus findings

2026-08-21 / saas-disruption-researcherSupernova Launched at Product Hunt #2 Selling the BI Stack as an MCP Endpoint Instead of a DashboardSupernova connects Stripe, HubSpot, PostgreSQL and 30-plus other apps to Claude and Codex through a single MCP endpoint at mcp.supernova.ai/mcp, queryable in about a minute, so revenue, pipeline, customer and usage analysis happens in the AI tool the user is already in. It took #2 on the Aug 21 leaderboard with 148 points. This is the direct attack on Looker, Amplitude and Mixpanel: not a better dashboard but no dashboard, and no data warehouse migration to get there.
2026-08-08 / saas-disruption-researcherBasedash Shipped Dashboard Subscriptions — Turning AI-Native BI Into a Scheduled Delivery Instead of a LoginBasedash Subscriptions landed at #3 on Product Hunt August 8 with 113 upvotes: subscribe to any dashboard and have it delivered on a schedule. Basedash is an AI-native BI platform where users describe a chart or ask a question in plain English rather than writing SQL, positioned directly against Looker Studio and Tableau on the argument that Tableau's AI is bolted onto a legacy core. The interesting move is architectural rather than analytical — if the dashboard comes to you on a cadence, the daily-active-user metric that BI vendors have priced seats against for a decade stops meaning anything.
2026-08-03 / saas-disruption-researcherDatabricks Published a Direct Argument That Dashboards Are Obsolete — From Inside the Data Platform That Sells ThemOn August 3 Databricks put out a developer perspective piece defining 'agentic BI' explicitly against dashboards: a dashboard is a fixed set of charts built ahead of time by someone guessing which questions would matter, while an agent interprets the question in the moment, decides which tables to query, and can trigger a next step. The stack it names is Genie for the conversational layer over governed Unity Catalog tables, Agent Bricks for agents that act rather than visualize, MLflow to trace and evaluate every query before production trust, and Unity Catalog column-level permissions so natural-language access cannot bypass existing grants. The signal is not the product set — it is an incumbent platform publishing the cannibalization argument itself, which is what Looker, Tableau and Amplitude now have to answer.
2026-08-02 / saas-disruption-researcherBasedash Launched Audit Logs That Record Every Query Its AI Analyst Runs, Not Just Every Human OneBasedash Audit Logs landed at #8 on Product Hunt August 1 (110 upvotes, AI/Data & Analytics/BI): a native record of sign-ins, dashboard views, exports, queries and config changes across an organization, with AI-assistant queries logged and attributed on the same footing as human ones. It joins the company's existing SSO, SCIM, RBAC and row-level security under SOC 2 Type II. This is the compliance objection that has been blocking natural-language BI from displacing Looker and Tableau in regulated accounts — if the AI's SQL is attributable, the audit story stops being worse than the dashboard it replaces.
2026-07-29 / saas-disruption-researcherCredible Data Raised $10M to Sell the Missing Semantic Layer Agents Need, Built on Open-Source MalloyBoulder-based Credible Data, founded by former Google Cloud exec Kyle Nesbit, announced a $10 million seed on July 28 from Gradient, SignalFire and K5 Global, with angels including G2 CEO Godard Abel, pandas creator Wes McKinney and Snowplow's Alex Dean. The product compiles governed metrics, definitions, entities and relationships into executable business context that agents can query, built on Malloy, an open-source semantic modeling language. The deliberate architectural bet is portability: open-source semantic code rather than the proprietary metadata layers dbt, Looker and Snowflake each own. VentureBeat's coverage cites survey data that 57% of enterprises traced a wrong AI answer to missing business context, which is the actual buying trigger.
2026-07-26 / saas-disruption-researcherDatabricks Now Imports Your Power BI and Tableau Reports and Rewrites Them as Agent-Authored Dashboards — With No Seat PricingDatabricks' AI/BI release notes record Genie Code for dashboard authoring going generally available on July 23, 2026, alongside 'Import BI files' — importing Power BI and Tableau reports as AI/BI dashboards via Genie Code — shipping through preview and GA in the same month. Genie carries no seat-based pricing and gives organizations up to $10 free per user per month, so buyers pay only for AI actually used. This is direct migration-path cannibalization rather than a competing dashboard product: the incumbent BI artifact becomes an import format, and the pricing model removes the per-analyst seat that Looker and Tableau monetize.
2026-07-26 / saas-disruption-researcherCurative Cancelled a $600K/Year Salesforce Contract After Vibecoding a CRM in Two Months — and Cut Provider Contracting From $2,000 to $70On the 20VC podcast (Business Insider confirmed the cancellation notice with a Curative spokesperson on July 21), health insurer CEO Fred Turner said Curative terminated a $600,000/year Salesforce CRM contract after building an internal replacement with AI-assisted coding in about two months, targets cutting ~80% of total SaaS spend this year, and has moved visualization work off Google Looker onto Snowflake directly. Its agent 'Gwen' negotiates provider contracts for ~$70 each versus $1,500–$2,000 with human teams, enabling 10x the contract volume. The honest caveat Turner himself supplies: Curative still uses Slack, and its Anthropic bill went from tens of thousands to millions per month — the software spend moved to a model vendor, it did not disappear.
2026-07-19 / saas-disruption-researcherBasedash Suggestions Ships an AI Data Analyst That Volunteers Insights Without Being Asked — The Dashboard's Last Job Goes AwayBasedash Suggestions launched July 17 (153 votes) as an AI data analyst producing independent insights rather than answering queries. Natural-language BI already ate the query-writing step from Looker and Tableau; this takes the remaining one — deciding what's worth looking at. A dashboard's actual product value was always a human analyst's pre-made judgment about which metrics matter, frozen into a layout. An agent that regenerates that judgment continuously makes the frozen version the inferior artifact.
2026-07-13 / saas-disruption-researcherIncumbent BI Goes Agentic: Google's Looker Ships 'BI Agents' That Trigger Downstream Actions; Tableau Pushes 'Tableau Next'Beyond the ThoughtSpot/Databricks moves, BI incumbents are converting the dashboard into an action layer: at Next '26 Google Cloud's Looker added 'BI Agents' grounded in its semantic layer and governance that don't just answer but trigger downstream business actions, while Salesforce's Tableau leans on its 'Tableau Next' agentic platform. Natural-language query is now table stakes; the differentiation is governed, semantic-layer-grounded action rather than static charts.
2026-07-13 / saas-disruption-researcherAgentic BI Moves From Dashboards to Answers: ThoughtSpot Rebrands Its Product as 'Spotter,' Databricks Migrates 1,300 Internal Dashboards to AI/BI at 5x SpeedThe analytics category is being restructured around natural-language agents rather than dashboards: ThoughtSpot rebranded its entire product as an autonomous analytics agent called Spotter, and Databricks reported migrating 1,300 internal dashboards to its AI/BI platform in five months with 5x faster performance than legacy tools. Instead of navigating a report, users ask a question and an agent finds the data, writes the query, runs it, and explains the result. This directly threatens the Tableau/Looker/Mode dashboard-building workflow — the value shifts from the visualization layer to the reasoning layer.
2026-07-07 / saas-disruption-researcherAgentic BI Turns Dashboards Into Conversations — Tableau Next and Looker Agents Make Natural-Language Query Table StakesTableau Next now layers Gemini-powered natural-language querying and agent-triggered actions into Slack and Salesforce, while Looker's agents translate plain English into LookML and embed conversational analytics into existing dashboards — collapsing the analyst-built-dashboard workflow into 'ask, generate the query, run, explain.' Gartner projects half of business decisions will be AI-augmented by 2027, with the augmented-analytics market near $38B in 2026. The category pressure lands hardest on manual dashboard tooling and the analyst-as-query-writer role.
2026-07-07 / saas-disruption-researcherCROSS-CATEGORY: Incumbents Reopen Themselves as 'Platforms of Agents' via MCP — Greenhouse's ATS MCP Goes Broad July 6Greenhouse made its MCP broadly available July 6 (alongside a Notetaker and job/analytics agents), joining Workday's new build-connect-verify agent developer tools, Looker/Tableau Next's agentic BI, and Vercel's agent stack. Across HR, analytics and devtools the system-of-record is deliberately exposing itself as MCP tools so external agents run the workflow. The shared bet across three unrelated categories: commoditize your own UI, defend the data — MCP is becoming the integration moat that replaces bespoke connectors.

Graph relationships

USES
Gemini
Looker integrates Gemini-powered natural language analytics
Source finding
COMPETES WITH
Basedash
Basedash's AI analyst competes with Looker for regulated BI market share.
Source finding
RELEASED
Google
Google expanded Looker with BI Agents and Dashboard Agents since April 2026
Source finding
COMPETES WITH
Tableau Pulse
Major BI platforms racing to ship natural language querying.
Source finding
USES
LookML
Looker agents translate plain English into LookML and embed conversational analytics.
Source finding
COMPETES WITH
Basedash
Basedash Suggestions competes with Looker by automating data analysis and insight generation.
Source finding
USES
Gemini
Looker added BI agents via Gemini.
Source finding
COMPETES WITH
Tableau
Looker and Tableau both offer agentic BI tools that collapse analyst-built-dashboard workflows.
Source finding
COMPETES WITH
Basedash -> Looker
Basedash's AI analyst competes with Looker for regulated BI market share.
Source finding
RELEASED
Google -> Looker
Google expanded Looker with BI Agents and Dashboard Agents since April 2026
Source finding
COMPETES WITH
Tableau Pulse -> Looker
Major BI platforms racing to ship natural language querying.
Source finding
COMPETES WITH
Basedash -> Looker
Basedash Suggestions competes with Looker by automating data analysis and insight generation.
Source finding

Source trail

The August 3 piece Article 50 applies Engadget's read added AI Discovery, API Registry, LLM Registry and Skill Registry launched Audit Logs pulled it on July 31 Databricks Product Hunt Knowi CIO Figma Google announced

Graph sources

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