Overall AI readiness score
A combined result across all audit signals.
Excellent
AI readiness audit: 10/31/2026Public technical data
About the site
Nana800.io is a visual low-code platform for building backend logic, API integrations and workflow automation without complex programming. Users create flows in a drag-and-drop block diagram builder with over 70 ready-made integrations, including Telegram, Slack, Google Sheets, GPT/AI and webhooks. It offers a free tier with 3,500 operations per month and pay-as-you-go pricing, and serves developers, teams building MVPs, students and DevOps engineers.
- Category:
- Developer tools
Written by AI from the site’s llms.txt and homepage.
Overall AI readiness assessment
How ready nana800.io is for AI systems
NANA800.io — nocode was independently audited by llmsmap. nana800.io currently scores 93/100 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.
Audit context
llms.txt is accessible and contains 380 tokens. An expanded llms-full.txt is also available with 1,398 tokens, giving agents more direct context. A separate ai.txt policy is published.
robots.txt is available. 11 of 11 tracked AI bots are not blocked. Declared sitemaps: 1. The homepage exposes Schema.org types Organization, SoftwareApplication, FAQPage; 7 OpenGraph tags were found and markup completeness is 100%.
The mobile Lighthouse profile adds Performance 90/100, Accessibility 89/100, Best Practices 96/100, SEO 100/100, and experimental Agentic Browsing 25/100. These signals have a limited weight: they complement rather than replace llms.txt, robots.txt, and structured-data checks.
Confirmed strengths
- Accessible llms.txt
- Expanded llms-full.txt
- Published AI policy
- 1 sitemap declaration
- Schema.org: Organization, SoftwareApplication
- Complete social metadata
Priority improvements
- 1Clarify semantics, labels, and interactive states.
llms.txt tokens380
llms-full.txt tokens1,398
ai.txt
sitemap.xml
Google Lighthouse technical profile
A mobile Lighthouse measurement. Google’s experimental Agentic Browsing category is explained separately and does not replace the broader llmsmap AI-readiness score.
90
Performance
89
Accessibility
96
Best Practices
100
Technical SEO
25
Agentic Browsing
What these results mean
The mobile page renders efficiently; its largest visible content block appeared in 0.9 s.
Accessibility scored 89/100, Best Practices 96/100, and technical SEO 100/100. The experimental Agentic Browsing category scored 25/100. It measures signals Google currently tests for software agents and is shown separately from the llmsmap AI-readiness score.
1
Free the main thread and accelerate the first view
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.
2
Reduce code that loads without helping the page
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.
3
Reduce network delay
Improve server response time, remove unnecessary redirects and repeat downloads, and use compression, caching, and selective preconnect hints.
4
Make controls unambiguous
Give buttons and links accessible names, associate labels with fields, and use ordered headings and semantic regions. The same structure helps screen readers and software agents understand actions.
FCP0.9 s
First content
LCP0.9 s
Main content
CLS0
Layout stability
TBT310 ms
Blocking time
SI4.6 s
Visual speed
Metric glossary
- FCP · First content
- When the first text or image appeared on screen.
- LCP · Main content
- When the largest visible element in the first viewport rendered.
- CLS · Layout stability
- How much content shifted unexpectedly while loading; lower is better.
- TBT · Blocking time
- How long the browser main thread could not respond quickly to input.
- SI · Visual speed
- How quickly the visible viewport filled with content.
10/31/2026Lighthouse 13.6.0Mobile profile
AI readiness checks
Machine-readable files, crawler policy, discovery, and homepage markup.
Sitemap in robots.txt1
1 sitemap found
Schema.org (JSON-LD)
Types: Organization, SoftwareApplication, FAQPage
OpenGraph100%
7 OG tags found
AI bot access
Based on robots.txt analysis
GPTBotAllowed
OAI-SearchBotAllowed
ChatGPT-UserAllowed
Google-ExtendedAllowed
ClaudeBotAllowed
Claude-SearchBotAllowed
Claude-UserAllowed
BytespiderAllowed
CCBotAllowed
PerplexityBotAllowed
Perplexity-UserAllowed
Sitemaps
Declared discovery routes for crawlers and agents.
OpenGraph tags
Social preview metadata found on the homepage.
og:typewebsiteog:urlhttps://nana800.io/og:titleNana800.io - Low-Code Platformog:descriptionLow-code platform for technical projects. Build projects quickly without writing code. Seamless integration with your existing systems.og:imagehttps://nana800.io/meta_img.pngog:localeen_USog:locale:alternateru_RUSchema.org markup
Structured entities and properties exposed on the homepage.
OrganizationSoftwareApplicationFAQPage
nameNana800.iourlhttps://nana800.iodescriptionLow-code platform for technical projects. Build projects quickly without writing code.logohttps://nana800.io/meta_img.pngsameAshttps://t.me/nana800_io, https://vk.com/bekendercontactPoint{"@type":"ContactPoint","email":"tech@nana800.io","contactType":"technical support"}# Nana800.io > Low-code platform for building backend logic and workflow automation without programming. ## What is Nana800.io? Nana800.io is a visual low-code platform that allows developers and teams to build backend logic, API integrations, and automated workflows without writing complex code. Users create flows using a drag-and-drop block diagram builder. ## Key Features - Visual workflow builder with drag-and-drop interface - 70+ ready-made integrations (Telegram, Slack, Google Sheets, GPT/AI, webhooks) - API endpoints, timers, and event triggers - Built-in analytics and execution logs - Data processing and transformation - Scheduled tasks and automation ## Pricing - Free tier: 3,500 operations per month (no payment required) - Pay-as-you-go: 100 RUB (~$1 USD) per 1,000 operations - No credit card required to start - Custom pricing available for large projects ## Target Audience - Developers automating backend processes - Teams building MVPs quickly - Students learning API and backend concepts - DevOps engineers automating monitoring and alerts ## Use Cases - Webhook → Telegram notifications - Scheduled reports to Google Sheets - GPT-powered text processing - Payment integration with YooKassa - Error monitoring and alerting - Form submission handling ## Links - Main site: https://nana800.io - Web app: https://cloud.nana800.io - Documentation: https://nana800.gitbook.io/doc - Telegram: https://t.me/nana800_io ## Contact - Email: tech@nana800.io - Telegram: @Stepan_Turchenko
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Added 10/31/2026
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