Overall AI readiness score
A combined result across all audit signals.
Overall AI readiness score
A combined result across all audit signals.
Overall AI readiness assessment
Konstantin Vinogradov was independently audited by llmsmap. kvinogradov.com currently scores 86/100 for AI readiness. The result combines AI-specific files, crawler policy, sitemap discovery, structured homepage data, and—when available—the mobile Google Lighthouse technical profile.
llms.txt is accessible and contains 1,501 tokens. No accessible llms-full.txt was detected, so deeper context still has to be assembled from regular pages. No separate ai.txt policy was detected; it is optional, but can clarify training, retrieval, and attribution preferences.
robots.txt is available. 11 of 11 tracked AI bots are not blocked. Declared sitemaps: 1. The homepage exposes Schema.org types Person, WebSite; 9 OpenGraph tags were found and markup completeness is 90%.
The mobile Lighthouse profile adds Performance 99/100, Accessibility 100/100, Best Practices 100/100, SEO 100/100, and experimental Agentic Browsing 100/100. These signals have a limited weight: they complement rather than replace llms.txt, robots.txt, and structured-data checks.
A mobile Lighthouse measurement. Google’s experimental Agentic Browsing category is explained separately and does not replace the broader llmsmap AI-readiness score.
Performance
Accessibility
Best Practices
Technical SEO
Agentic Browsing
The mobile page renders efficiently; its largest visible content block appeared in 1.7 s.
Accessibility scored 100/100, Best Practices 100/100, and technical SEO 100/100. The experimental Agentic Browsing category scored 100/100. It measures signals Google currently tests for software agents and is shown separately from the llmsmap AI-readiness score.
Split long JavaScript tasks, defer non-critical scripts and styles, and shorten blocking request chains. This helps the primary content appear sooner and makes controls usable earlier.
Remove unused CSS and JavaScript, load heavy widgets on demand, and limit third-party scripts. Less code means less parsing and background work on the device.
Improve server response time, remove unnecessary redirects and repeat downloads, and use compression, caching, and selective preconnect hints.
First content
Main content
Layout stability
Blocking time
Visual speed
Machine-readable files, crawler policy, discovery, and homepage markup.
Full version was not found
ai.txt file was not found
1 sitemap found
Types: Person, WebSite
9 OG tags found
Based on robots.txt analysis
Declared discovery routes for crawlers and agents.
Social preview metadata found on the homepage.
og:site_nameKonstantin Vinogradovog:localeen_USog:typewebsiteog:titleKonstantin Vinogradovog:urlhttps://kvinogradov.com/og:descriptionKonstantin Vinogradov — VC investor in open source, AI, and infrastructure. Notes on venture capital investments, tech startups, open source and philanthropy.og:image:width1200og:image:height630Structured entities and properties exposed on the homepage.
nameKonstantin Vinogradovurlhttps://kvinogradov.comdescriptionVC investor specializing in open source, AI, and infrastructure software. Angel investor and founder of the Open Source Endowment.sameAshttps://github.com/vinogradovkonst, https://linkedin.com/in/kvinogradov, https://x.com/@vinogradovk# Konstantin Vinogradov > VC investor specializing in open source, AI, and infrastructure software. Previously General Partner at Runa Capital ($600M+ AUM). Based in London, often in the SF Bay Area. Notes on venture capital, tech startups, open source, and philanthropy. ## About - [Konstantin Vinogradov](https://kvinogradov.com/): Personal page with background, investments, philanthropy, and writings on venture capital, open source software, and technology startups. - [Writing](https://kvinogradov.com/writing/): A collection of articles exploring open source growth, investment theses, OSS funding, and developer ecosystem analysis. ## Venture Capital and Investments - [Investment in open source AI agent framework Mastra](https://kvinogradov.com/mastra/): Investment thesis on Mastra, the leading open source TypeScript AI agent framework. Discusses the agentic AI market, the distinction between "AI People" (Python) and "Software People" (TypeScript), and why TypeScript-native AI tooling matters. Mastra raised a $13M seed round. - [Investment in open source CRM Twenty](https://kvinogradov.com/twenty/): Investment thesis on Twenty, the leading open source CRM. Covers the history of open source business infrastructure, Salesforce's dominance, and how Twenty is building a modern, data-centric, AI-native CRM platform. Runa led the $5M seed round. - [Investment in open source AIOps platform Keep](https://kvinogradov.com/keep/): Investment thesis on Keep, an open source AIOps and alert management platform. Discusses enterprise alert fatigue, observability stack fragmentation, and how open source can outperform closed-source incumbents in adapting to diverse enterprise environments. Runa led the pre-seed round. Keep was later acquired by Elastic. - Other select investments include [Entire](https://entire.io/) (next-gen developer platform for humans and AI agents), [Dosu](https://dosu.dev/) (AI teammate for engineering teams), [White Circle](https://whitecircle.ai/) (AI guardrails and red-teaming), [Higgsfield](https://higgsfield.ai/) (AI video/image generator, $100M+ ARR), and [Sidekick](https://www.meetsidekick.com/) (work-focused browser, acquired by Perplexity). - [Runa Capital](https://runacap.com/): Global venture capital firm where Konstantin was a General Partner. Portfolio includes n8n, Mambu, Nginx, MariaDB, and Pasqal. ## Open Source Research and Initiatives - [It's time for the Open Source Endowment](https://kvinogradov.com/osendowment/): Thesis and launch of the Open Source Endowment — the world's first endowment fund dedicated to sustainably funding critical open source software maintenance. Covers why 96% of codebases depend on OSS yet 60% of maintainers are unpaid, why current funding models fall short, the university endowment analogy, and how OSE works as a US 501(c)(3) with ~$700K from 60+ founding donors including the founders of HashiCorp, Elastic, ClickHouse, Supabase, NGINX, Vue.js, Pandas, Pydantic, and curl. - [Open Source Endowment website](https://endowment.dev/): The first endowment fund exclusively dedicated to open source software, enabling sustainable long-term funding for OSS maintainers. Community-led nonprofit founded in 2025. - [ROSS Index](https://runacap.com/ross-index/): The Runa Open Source Startup Index, tracking the fastest-growing open source startups quarterly from 2020 to 2025 based on GitHub star growth. - [GitHub repo with OSS startup alternatives to SaaS](https://github.com/RunaCapital/awesome-oss-alternatives): A curated list of open source startup alternatives to traditional SaaS products. - [What Open Source can learn from universities to fix its funding](https://kvinogradov.com/oss-universities/): Original proposal arguing that open source communities resemble research universities in culture and function, and that the endowment model used by top universities can solve the OSS sustainability crisis. - [How I algorithmically donated $5,000+ to OSS via GitHub Sponsors and PyPI data](https://kvinogradov.com/algo-sponsors/): A data-driven experiment in algorithmic open source philanthropy. Analyzes GitHub Sponsors data, PyPI download distributions, and the disconnect between project popularity and importance, culminating in microgrants to 866 GitHub users. - [Open Source Growth Benchmarks and the 20 Fastest-Growing OSS Startups](https://kvinogradov.com/open-source-growth-benchmarks/): Introduces open source growth benchmarks using GitHub stars and forks, reveals power-law distributions in OSS popularity, and presents the first top-20 fastest-growing OSS startups list (Q2 2020). - [More Open Source Benchmarks, the ROSS Index and the Fastest-Growing OSS Startups](https://kvinogradov.com/more-oss-benchmarks/): Extends OSS benchmarks with programming language-specific analysis (Go, Python, C++, Java, JavaScript, etc.), introduces the ROSS Index methodology, and presents Q3 2020 fastest-growing startups. - [Open Source Contributors Analysis and deep dive into OSS databases](https://kvinogradov.com/oss-contributors-analysis/): Comprehensive contributor analysis applying product analytics (MAU, retention, engagement, churn) to open source databases. Introduces the concept of "active qualified contributors" and uses the Herfindahl-Hirschman Index for measuring OSS project decentralization. ## Media and Recognition - [Media page](https://kvinogradov.com/media/): Selected publications, presentations, and media comments. Quoted in TechCrunch, Wired, Bloomberg, Business Insider. Published in InfoWorld and LeadDev. Speaker at Cambridge University, DevDays Europe, Connected Data World, OpenCore Summit. Awards: OpenUK Honours List (2026), Data-Driven VC Top 100 Thought Leaders (2024), UK Global Talent Visa (2022). ## Philanthropy and Community Engagement - [Project leader for a tech charity](https://kvinogradov.com/charity-leader/): A job description for leading a next-gen nonprofit initiative at the intersection of fintech, developer tools, and social impact.