Solarly

FUTO Swipe — AI-Readiness Report

swipe.futo.tech

The FUTO Keyboard features a fast, accurate swipe typing system designed for efficiency and privacy. It operates offline on Android devices and leverages the FUTO Swipe models family, which were developed to offer an alternative to traditional, privacy-invasive keyboard apps. A dataset of over 1 million swipes has been released under the MIT license, which helps train and evaluate its models. The keyboard utilizes three main models: an Encoder for general predictions, a ContextLM for language-specific improvements, and a Decoder optimized for QWERTY English, achieving a top-4 fail rate of ~4% and an error rate below 1%. The lightweight models, with a total of approximately 1.36 million active parameters, allow for quick performance on various devices. Users can adopt the FUTO Swipe models and related C++ inference library to facilitate swipe-to-word predictions. FUTO aims to build a community around this technology and encourages contributions.

44/100

Sub-scores

  • Schema.org Coverage0
  • Crawler Accessibility80
  • Content Structure70
  • Metadata Quality10
  • AI Directives (llms.txt)60

Findings (3)

  • critical
    No Schema.org JSON-LD detected

    No structured data found on the homepage of swipe.futo.tech. LLMs rely on JSON-LD for entity grounding.

  • warning
    No H1 tag detected

    AI chunkers expect exactly one H1 per page for clean semantic hierarchy.

  • info
    Open Graph metadata incomplete

    og:description and og:image missing.

Machine-readable directives

# FUTO Swipe

> AI-readiness profile for swipe.futo.tech generated by Solá, the Solarly AI SEO Engine.

## Info

- **Name:** FUTO Swipe
- **Domain:** swipe.futo.tech
- **Homepage:** https://swipe.futo.tech
- **Score:** 44/100 (Solá's AI-readiness rating)

The FUTO Keyboard features a fast, accurate swipe typing system designed for efficiency and privacy. It operates offline on Android devices and leverages the FUTO Swipe models family, which were developed to offer an alternative to traditional, privacy-invasive keyboard apps. A dataset of over 1 million swipes has been released under the MIT license, which helps train and evaluate its models. The keyboard utilizes three main models: an Encoder for general predictions, a ContextLM for language-specific improvements, and a Decoder optimized for QWERTY English, achieving a top-4 fail rate of ~4% and an error rate below 1%. The lightweight models, with a total of approximately 1.36 million active parameters, allow for quick performance on various devices. Users can adopt the FUTO Swipe models and related C++ inference library to facilitate swipe-to-word predictions. FUTO aims to build a community around this technology and encourages contributions.

## Canonical pages

- [Home](https://swipe.futo.tech)

## Crawl policy

- Recommended allow: GPTBot, ClaudeBot, PerplexityBot, Google-Extended
- Preferred citation: "FUTO Swipe (swipe.futo.tech)"
{
  "schema_version": "1.0",
  "organization": {
    "name": "FUTO Swipe",
    "domain": "swipe.futo.tech",
    "url": "https://swipe.futo.tech"
  },
  "score": 44,
  "breakdown": [
    {
      "label": "Schema.org Coverage",
      "value": 0
    },
    {
      "label": "Crawler Accessibility",
      "value": 80
    },
    {
      "label": "Content Structure",
      "value": 70
    },
    {
      "label": "Metadata Quality",
      "value": 10
    },
    {
      "label": "AI Directives (llms.txt)",
      "value": 60
    }
  ],
  "endpoints": {
    "llm_manifest": "https://swipe.futo.tech/llms.txt",
    "sitemap": "https://swipe.futo.tech/sitemap.xml",
    "robots": "https://swipe.futo.tech/robots.txt"
  },
  "detected": {
    "jsonld_types": [],
    "h1_count": 0,
    "has_meta_description": false,
    "has_og_image": false,
    "has_canonical": false,
    "has_llms_txt": true,
    "ai_bots_blocked": []
  },
  "crawl_policy": {
    "recommended_allow": [
      "GPTBot",
      "ClaudeBot",
      "PerplexityBot",
      "Google-Extended"
    ],
    "citation": "FUTO Swipe (swipe.futo.tech)",
    "attribution_required": true
  },
  "generated_by": "sola-solarly",
  "generated_at": "2026-06-24T06:17:06.100Z"
}
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