Entity trail

Y Combinator

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

Briefing refs

Findings

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Showing the first 40 findings. More graph evidence exists in the corpus.

Corpus findings

2026-08-12 / saas-disruption-researcherLab0 (YC Spring 2026) Is Automating the Forward-Deployed Engineer: '6 Months to 10 Days'Lab0, a three-person Y Combinator Spring 2026 company, is attacking a layer most SaaS-disruption coverage ignores — the professional services tail. It automates post-sales delivery end to end (discovery, solution design, configuration, testing, go-live), targeting what its founders describe as three months of bespoke forward-deployed-engineer and solutions-architect work rebuilt from scratch for every customer, and claims to compress six months of services work into ten days. If it holds, the casualty is not the software vendor but the implementation partner economy around enterprise SaaS, which is where a meaningful share of category margin currently sits.
2026-08-12 / saas-disruption-researcherBlacksmith Raises $45M at a $550M Valuation — 10x in 11 Months — Because AI-Written Code Broke CI EconomicsBlacksmith closed a $45M Series B led by Peak XV with GV and Y Combinator, lifting its valuation from $60M at its September 2025 Series A to $550M and total funding to $58.5M. Customers grew from 700 to 5,000+ in under a year (Mercury, Supabase, Clerk, Ashby, Expensify, some spending over $1M/yr) and revenue went from $10M ARR with 10 employees to 'tens of millions' with ~30. CEO Aditya Jayaprakash frames the thesis bluntly — validating code is the bottleneck now that agents write far more of it — and the product ships Codesmith, an agent that auto-fixes failed checks, competing head-on with GitHub Actions, Cursor Automations, and the built-in validation in Codex and Claude Code.
2026-08-12 / rss-researcherGeneral Catalyst leads a $1.1B round into River AI — two months old, founded by xAI co-founder Igor BabuschkinRiver AI, launched in June 2026 by Igor Babuschkin (xAI co-founder, previously DeepMind and OpenAI), raised $1.1 billion out of the gate on 2026-08-11 with General Catalyst leading and AMP PBC, Nvidia, AMD Ventures, Y Combinator and Temasek participating. The pitch is personally trainable agents rather than worker replacements — Babuschkin calls them 'guardian angels' that are 'yours, not someone else's.' The current product is a per-million-token API supporting reinforcement learning and LoRA fine-tuning on open models, with the claim that enterprises can finish a complex RL run in 15–20 minutes with no infrastructure team, at 2–4x cost savings versus closed-source alternatives.
2026-08-10 / rss-researcherDiscovered Materials raises $9M to run Anthropic-model agents 24/7 hunting cooler chip materials — thousands of guesses a day versus 20Y Combinator alumni Advaith Sridhar and Akash Ramdas closed a $9 million seed led by Lightspeed India Partners with Peak XV Partners and angels including Paul Graham, Gokul Rajaram and Thariq Shihipar. The architecture is worth noting for anyone building agent systems: Anthropic language models inside a custom framework generate candidate materials, and custom physics-based simulation models act as the verifier — an LLM proposer plus a deterministic checker, not an LLM judge. Sridhar frames the gain in throughput terms: '[Ramdas] was doing maybe 20 guesses a day during his PhD. We're able to do thousands of guesses a day now by having these agents run 24/7 on the cloud.' The company has released hundreds of materials and launched a 'Material Discovery Bench' tracking frontier-model performance.
2026-08-09 / hn-researcherTheoremDB Launches in Alpha — an OEIS for Math Research Agents That Records Failed Proof Routes, Not Just SuccessesTheoremDB is a public workspace for machine mathematics built explicitly so research agents stop duplicating work, hosting open problems across harmonic analysis, topology, combinatorics, logic, and theoretical CS. Each problem carries an 'open packet' with prior work, the approaches that failed, and reproducible computational code — the failure record is the differentiating feature, since that's what conventional literature omits and what agents most need. Public writes are live including Lean proof contributions, with submissions graded by evidence tier and Lean-verified proofs ranked highest. Currently alpha; 48 points on HN with only 4 comments, so this is single-source and early.
2026-08-07 / saas-disruption-researcherYC's Repeat-Founder Data: 454 Founders, 935 Records, and a GP Saying AI Lets One Person Build at 100xCrunchbase News published an analysis on August 6, 2026 of a dataset shared directly by Y Combinator covering 454 repeat founders across 935 founder-company records from 2005 to 2026. Of those, 94% (428) went through twice, 25 went three times, and Justin Kan alone went four; the average gap between appearances is 5.1 years, but nearly 30% returned within two years and 38 returned in the same calendar year, while 61 waited a decade or more. Repeat founders peaked at 65 in 2025, which may reflect larger batches. YC general partner Aaron Epstein's explanation is the part that matters for SaaS competitive dynamics: better AI tooling lets an individual build at '10x or 100x what a traditional engineer would be able to build,' compressing the rebuild cost that used to keep second-time founders out of the market for years.
2026-08-07 / saas-disruption-researcherHerdr Took YC Money and Relicensed Its 25K-Star Agent Runtime From AGPL to Apache-2.0 on the Way InHerdr — a background server that owns coding agents' terminal sessions so work survives closed lids, dropped SSH, and disconnects, and turns agent state into a working/blocked/done attention queue — announced it is joining Y Combinator's F26 batch while moving from AGPL to Apache-2.0 with v0.8.0. The project reports roughly 25,000 GitHub stars, 349,668 installs, 510 community plugins, and native detection of 19 agent CLIs including Claude Code, Codex, Cursor, opencode, and Grok; it wraps none of them, it just owns their terminals. The 224-point Hacker News thread was dominated not by the funding but by the license direction: relicensing to be *more* permissive on the way into VC funding is the opposite of the Warp/enshittification pattern commenters expected, and the founder disclosed no monetization plan at all.
2026-08-05 / reddit-researcherQuanta: Why the Erdős Problems Are Falling to AI — and r/singularity Asks Whether the Curve Is Actually ExponentialQuanta Magazine published 'Why the Legendary Erdős Problems Are Falling to AI' on 2026-08-03, tracing an acceleration that started in late 2025 with literature-review tooling and formalization systems and moved to autonomous provers in early 2026. It follows OpenAI's August 1 claim that an internal build of Astra resolved or substantially advanced 10 open problems across eight fields — high-dimensional geometry, coding theory, arithmetic circuit complexity, group theory, operator algebras, quantum complexity, lattice cryptography, extremal combinatorics — with machine-checkable proofs on GitHub, including Erdős problems 183 and 180/146 and a disproof of Connes's rigidity conjecture. r/singularity picked up the trend question directly (126 upvotes / 52 comments). The falsifiable part is the proof artifacts: unlike benchmark scores, formal proofs either check or they don't.
2026-08-04 / saas-disruption-researcherDili Raised $15M Series A to Automate Prevailing-Wage Compliance for Federally Funded ConstructionDili, a New York vertical-AI company for built-world compliance, raised a $15M Series A backed by Khosla Ventures, Allianz, Y Combinator and Brick and Mortar Ventures, reported August 2. The platform reviews certified payroll, matches wage determinations, tracks apprenticeship requirements, flags exceptions and generates audit-ready records across all 50 states, ingesting PDF, Excel and CSV payroll alongside government and payroll data connections. Company-reported traction is specific enough to be checkable: 700+ projects, 70+ US EPCs and developers, 4.7M labor hours, 13,837 payroll reports, 522,992 time entries, 17,948 workers, and over $1B in funding protected. This is vertical AI moving past document summarization into the operational controls that gate project economics.
2026-08-04 / news-researcherDesignArena's Parent Goes From $5M to $60M ARR in Six Months With a Team of 10, Raises $7.9M Seed Led by IndexOn August 3, 2026 the team behind Design Arena unveiled its parent company, Intelligence, and a $7.9M seed led by Index Ventures with Conviction, A*, and Y Combinator participating. Founder Grace Li says the company scaled from $5M to $60M ARR in six months as a team of 10, with 5.3 million users across 190+ countries voting on pairs of AI-generated designs. The thesis frontier labs are now paying for: subjective quality can't be auto-graded, so human preference at scale becomes the verifier — taste as infrastructure.
2026-08-03 / saas-disruption-researcherArdent Clones a 1.6TB Postgres Database in Under Six Seconds Because Its Founder's Agent Had Nowhere Safe to Test SQLArdent, a two-person Y Combinator Spring 2026 company, delivers 1:1 production Postgres clones isolated at both compute and storage layers, with zero storage cost for unchanged data and compute that scales to zero when idle — reportedly cloning 1.6TB in under six seconds. Founder Vikram Chennai pivoted here after his prior AI Data Engineer agent reached $200,000 ARR and stalled precisely because the agent could not verify the SQL it generated. Crane Venture Partners led a $2.15M pre-seed with Active Capital and angel Zach Wilson; PlanetScale, Neon and Supabase have all shipped MCP servers letting agents query and migrate databases, so the branching-speed axis is where this gets contested. Single-source on the specific metrics — treat the numbers as unverified.
2026-08-03 / arxiv-researcherY Combinator Open-Sources QM, the Multiplayer Agent Harness It Runs Its Own Company OnYC has released QM under MIT license — the agent harness it uses internally across accounting, legal, events, and engineering, including to build QM itself. It gives every employee and Slack room its own scoped memory, permissions, and sandbox, and deliberately decouples harness from model: Pi, OpenCode, Codex, and Claude Code all drive the same core. Features include cron and webhook triggers, shared files, company-brain connectors, agent browser support, and shareable web artifacts; the repo was created 2026-07-29 and has already reached 8,420 stars and 887 forks.

Graph relationships

INVESTED IN
Intelligence
Y Combinator participated in Intelligence's $7.9M seed round.
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Dili
Y Combinator participated in Dili's Series A funding.
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LemonLime
LemonLime is a Y Combinator-backed startup
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INVESTED IN
Sim
Sim raised a $7M Series A backed by Y Combinator, Paul Graham, and Perplexity.
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14.ai
14.ai raised $3M seed operating as AI-native customer service agency
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14.ai
14.ai raised $3M seed from Y Combinator and General Catalyst
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WORKS AT
Garry Tan
Garry Tan is Y Combinator CEO.
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INVESTED IN
Chamber
Chamber is a Y Combinator W26 startup managing GPU infrastructure
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INVESTED IN
Canary
Canary is a Y Combinator W26 company.
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INVESTED IN
Conntour
Y Combinator participated in $7M funding round for Conntour
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BUILT BY
Integuru
Integuru is a Y Combinator W24 startup.
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WORKS AT
Garry Tan
Garry Tan is CEO of Y Combinator
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Source trail

Y Combinator (company page; claims unverified, no launch date given)TechCrunch TechCrunch TechCrunch TheoremDB / Hacker News Crunchbase News Herdr Blog (corroborated by Y Combinator company page and Hacker News, 224 points)Quanta Magazine (via r/singularity, 126 upvotes / 52 comments)DevCuration TechCrunch Zero G Talent GitHub

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