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Codesift

Assigns codes and themes to open-ended survey responses using AI, priced by data volume.

AutomationNo-codeAnalyticsData extraction
codesift.ai ↗Launched on Product Hunt · 2026-05-12
At a glanceswept 2026-09-19
Price
Price not read
Use
Emerging
Activity
Activity not read yet
Company
founding year not on record
Runs as
No-code
Alternatives in Automationby use, among tools still maintained
  • Power BI & Data Analytics ConsultingMigrates data analytics platforms and builds data warehouses, pipelines, and business intelligence solutions.

    EstablishedActively maintained

    ≈ 51.1k visits/mo
  • docAnalyzer v2Analyzes documents across multiple files and formats, generating cited outputs like spreadsheets and PDFs from multi-turn conversations.

    EstablishedActively maintained

    ≈ 1.3k visits/mo
  • SaazioAnalyzes Google Play reviews to extract pain points, feature requests, and validated SaaS ideas with tech stack recommendations.

    EmergingMaintained

    ≈ 2 visits/mo
  • CleanDataAICleans, standardizes, and analyzes spreadsheet data including sales numbers, lead lists, and survey responses.

    EmergingActively maintained

  • WebllyBuilds websites and apps from descriptions, with integrated SEO, marketing, analytics, and customer management agents.

    EstablishedActively maintained

    71 linking domains
  • BrowserActBuilds web scrapers and automation bots from natural language descriptions without code.

    EstablishedActively maintained

    ≈ 16.4k visits/mo

All Automation tools →

Questions this page answers
  • What is Codesift?

    Assigns codes and themes to open-ended survey responses using AI, priced by data volume.

  • Do people use Codesift?

    Emerging.

  • What are alternatives to Codesift?

    In Automation, by use: Power BI & Data Analytics Consulting, docAnalyzer v2, Saazio, CleanDataAI, Weblly, BrowserAct.

How we read a tool

No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.

  • Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
  • Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
  • Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
  • The line and the use cases are written by us from the homepage, one row at a time, and refused when they repeat the vendor's marketing.

How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.