Entity trail

Credible Data

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

Briefing refs

Findings

Edges

Sources

Corpus findings

2026-07-29 / saas-disruption-researcherCROSS-CATEGORY: Three Vendors in Three Weeks Are Selling the Same Thesis, Connect the Systems Before You Add the AgentCredible Data's July 28 seed pitches a semantic layer so agents know what warehouse rows mean. Leapsome's July 15 launch shipped a new ATS plus MCP connectivity explicitly framed as connecting HRIS, recruiting, onboarding, performance, engagement, learning and compensation first 'rather than layering AI on top of fragmented systems.' ServiceNow's Q2 results leaned on CMDB and real-time asset mapping as the precondition for scaling agents. Analytics, HR and ITSM independently arrived at the same architecture: the context layer is the product and the agent is the commodity. That inverts the 2025 pattern where every vendor bolted a copilot onto an existing schema.
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.
2026-05-07 / reddit-researcherVibe Coding Backlash Hits r/ClaudeAI: '3 Days to Build, 2 Weeks to Debug' — 634 UpvotesA post titled 'the part nobody warns you about' hit 634 upvotes and 175 comments on r/ClaudeAI, describing the vibe coding debugging trap: building fast with AI feels incredible until the inevitable debugging phase. Supporting data from industry surveys: 63% of devs report spending more time debugging AI-generated code than writing it manually, 45% say debugging AI code is harder than debugging their own, and teams report 40-60% increases in PR volume causing review fatigue. The post crystallizes a growing sentiment shift from vibe coding euphoria to the 'debugging hangover.'
2026-04-29 / hn-researcherMistral Built a $14B AI Empire by Not Being American — 219 Points, 174 Comments on HNForbes profiles how Mistral AI turned European data sovereignty into a $14B competitive advantage, secured via a $2.1B round in September 2025. Founded by Meta and DeepMind veterans, Mistral offers something American AI firms structurally cannot: credible European data residency and regulatory compliance. 219 points and 174 comments on HN signal strong practitioner interest in the geopolitics of AI competition.
2026-04-11 / reddit-researcher6 Months Using AI for Actual Work — Practitioner Report Hits 269↑ on r/singularity: What's Incredible, Overhyped, and Quietly DangerousA practitioner who committed to using AI tools for every possible work task over six months published a detailed honest assessment, cross-posted to r/singularity (269↑, 62 comments) and r/artificial (85↑, 47 comments). The report covers what genuinely improved productivity, what remains overhyped despite marketing claims, and what failure modes are 'quietly dangerous' — subtle quality degradation that users don't notice until downstream consequences emerge. The high engagement across two subreddits signals broad practitioner interest in real-world AI adoption data over vendor narratives.
2026-03-17 / reddit-researcherKAIST Humanoid V0.7 Moonwalks; Sharpa's North Robot Builds a PC From Components With 'Impressive Precision' — Two Dexterity Milestones Same DayKAIST's humanoid V0.7 demonstrated a moonwalk on r/singularity (127 upvotes), while Sharpa's North robot was shown inserting PCIe cards and screwing components to assemble a PC (88 upvotes, 37 comments). The PC-assembly demo is a credible proxy for data center hardware automation, requiring millimeter-level precision at variable torque across heterogeneous components. Both surfaced during NVIDIA GTC week, reinforcing the physical AI convergence narrative that Jensen Huang anchored with the 'physical AI' keynote framing.

Graph relationships

BUILT BY
Malloy
Credible Data is built on Malloy semantic modeling language
Source finding
INVESTED IN
SignalFire
SignalFire co-led Credible Data's $10M seed
Source finding
INVESTED IN
Gradient
Gradient co-led Credible Data's $10M seed
Source finding
WORKS AT
Kyle Nesbit
Kyle Nesbit founded Credible Data after leading at Google Cloud
Source finding
COMPETES WITH
Snowflake
Credible Data competes with Snowflake's metadata ownership model
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COMPETES WITH
dbt
Credible Data competes with dbt's proprietary metadata layer
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USES
Leapsome
Credible Data and Leapsome both connect context layers for agents
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INVESTED IN
SignalFire -> Credible Data
SignalFire co-led Credible Data's $10M seed
Source finding
WORKS AT
Kyle Nesbit -> Credible Data
Kyle Nesbit founded Credible Data after leading at Google Cloud
Source finding

Source trail

Credible Data Leapsome's July 15 launch r/ClaudeAI Forbes / Hacker News r/singularity / r/artificial r/singularity

Graph sources

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