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Talkable

Answers customer questions from your product data and business information across messaging apps.

AnalyticsMarketingChat assistantNo-codeSmall business
At a glanceswept 2026-09-17
For
Small businesses and solopreneurs answering customer questions across messaging platforms
Price
Price not read
Use
Emerging
Activity
Activity not read yet
Company
since 2026first launch
Runs as
No-code
What people do with it
  • Answer customer questions about products and availability automatically
  • Capture customer leads and orders from conversations
  • Handle customer inquiries across Telegram, Instagram, and Facebook Messenger
Alternatives in Analyticsby use, among tools still maintained
  • JotformBuilds online forms with drag-and-drop interface, collects submissions, and integrates with business apps.Widely usedActivity not read yet
  • EvidenceDefines analytics dashboards and reports as code in version control, with an agent that answers data questions in natural language.Widely usedActivity not read yet
  • GrowthBookRuns A/B tests, manages feature flags, and analyzes product data from your data warehouse.Widely usedActively maintained
  • RipplingManages HR, IT, payroll, and finance for global workforces on a unified platform with AI automation.Widely usedActivity not read yet
  • LeanpubPublishes and sells ebooks, courses, and bundles authored by individuals and organizations.Widely usedActively maintained
  • DataboxConnects business data and metrics to AI agents that analyze performance, generate reports, and automate recurring analysis workflows.Widely usedActively maintained

All Analytics tools →

Questions this page answers
  • What is Talkable?

    Answers customer questions from your product data and business information across messaging apps.

  • Who is Talkable for?

    Small businesses and solopreneurs answering customer questions across messaging platforms

  • Do people use Talkable?

    Emerging.

  • What are alternatives to Talkable?

    In Analytics, by use: Jotform, Evidence, GrowthBook, Rippling, Leanpub, Databox.

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.