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ml 10

The ML category is a broad collection of 674 tools that apply machine learning across industries and functions, from healthcare documentation and legal research to user research, code generation, and content creation. It captures AI applications that do not fit cleanly into a single vertical.

Plusdocs

general

AI presentation maker for PowerPoint and Google Slides

Paid 45 · 14,767 votes

V7 Go

general

Automate deal analysis and CIM review

Paid 39 · 7,375 votes

AI Press Release Generator

general

Press kit creation and media distribution

Paid 38 · 61,068 votes

StreamChat AI

general

AI chat bot for Twitch and Kick with custom personalities and games

Paid 37 · 51,802 votes

AI Ghostwriter

general

ChatGPT-powered content generation for WordPress

Paid 37 · 46,515 votes

Macaify

general

Use AI anywhere on Mac with keyboard shortcuts

Paid 37 · 38,942 votes

CodeSpect

general

Automated code review for bugs, security, and performance

Paid 37 · 38,548 votes

Holiwise

general

Discounted hotel, apartment, and villa bookings

Paid 36 · 30,896 votes

TravelFeed

general

Travel blogging platform where you can earn crypto

Paid 35 · 16,091 votes

PTTOGEL

general

Online lottery platform

Paid 35 · 12,022 votes

Because this category covers so many domains, browsing by sub-use case is more efficient than scrolling the full list. Tools like Hippo Scribe and SopCreator serve very specific professional workflows, while others like User Evaluation or Userpersona target product and UX teams. The quality bar across the category is uneven: some tools are mature products with enterprise customers, while others are early-stage experiments. When evaluating any tool in this space, look for evidence of actual accuracy and reliability in your specific domain, since ML performance varies dramatically across tasks. Integration depth and data handling are often the deciding factors for business use. Pricing models are diverse, from usage-based API billing to flat-rate SaaS subscriptions. Open-source alternatives exist for many of the underlying tasks, so for teams with technical resources, comparing commercial tools against self-hosted options is worth the effort.