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ml 16

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.

Lightning AI

general

All-in-one AI development platform from browser with zero setup

Free 45 · 46,907 votes

OctiAI

general

Create effective AI prompts from short ideas in seconds

Free 38 · 63,762 votes

Scrabblecam

general

Find best moves from Scrabble board photos

Free 38 · 56,622 votes

Emly Labs

general

Platform for building and deploying AI apps

Free 37 · 44,809 votes

Legal Data Tech

general

Legal research and analysis

Free 37 · 44,860 votes

GeniePM

general

Streamline user stories, bug tracking, and task management

Free 37 · 43,807 votes

aomni

general

AI agents for account-based sales and ABM

Free 37 · 41,921 votes

Prompty App

general

Craft effective prompts and optimize AI interactions

Free 37 · 37,867 votes

Helper.im

general

Native desktop ChatGPT client for Mac and Windows

Free 37 · 37,043 votes

api4ai

general

Cloud APIs for background removal, OCR, content moderation, and image processing

Free 37 · 33,649 votes

Remind AI

general

Spaced repetition tool for retaining and recalling information

Free 36 · 32,191 votes

StrataReports

general

Review condo documents and spot financial risks

Free 36 · 31,305 votes

SocialFinder.ai

general

Find social profiles by name and email

Free 33 · 4,695 votes

Automated Predictive Analytics Software

general

Machine learning for advertising, audience, and ROI optimization

Free 33 · 3,840 votes

SlideNotes

general

Converts presentations to text notes

Free 32 · 2,528 votes

Pgrammer

general

Practice coding interviews with AI hints and feedback

Free 30 · 1,123 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.