Slashy vs Thinking Orbs: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Slashy and Thinking Orbs — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Slashy

Paid

Slashy is an AI-native email client that drafts replies in your voice, triages what matters, and makes sure no follow-up slips through.

AI Reply Drafting: Drafts email replies in your own voice so you can review and send in seconds.
Smart Triage: Automatically surfaces the emails that matter and filters out inbox noise.
Follow-up Tracking: Tracks pending conversations so no follow-up slips through the cracks.
AI-Native Inbox: A redesigned email client built around AI rather than added onto an old one.
Enterprise Controls: SSO, SCIM, and customized security controls for teams on the Enterprise plan.

Clearing a Busy Inbox: Triage and respond to high volumes of email in a fraction of the usual time.
Consistent Voice Replies: Draft on-brand responses that sound like you without writing from scratch.
Never Missing Follow-ups: Stay on top of threads that need a reply or a nudge.
Team Email at Scale: Roll out an AI email client across an organization with SSO and SCIM.

Yogesh

Free

Thinking Orbs is a lightweight React library of animated orb status indicators for AI interfaces such as thinking, searching and compacting.

State-Based Orbs: An Orb component with states like reasoning, searching, working, retrying, compacting and waiting to mirror what the agent is doing.
Zero Dependencies: The React orb needs nothing but React and the plain JS version needs nothing at all, at about 3.8 KB gzipped.
Customizable Props: Control variant, size, speed, density, dot size, tilt, pause and screen-reader label to fit any interface.
Opt-in Shapes and Renders: Import extra shapes like cube and renders like halftone separately so only used code is bundled.
Flexible Installation: Install from npm, pnpm, yarn or bun, or copy the component into a project with shadcn.
Tintable with CSS: Color orbs with text-* utility classes so they match the host UI theme.
Interactive Playground: A web playground to preview all states, shapes and renders before integrating.
llms.txt Support: Publishes an llms.txt so coding assistants can integrate the library correctly.

Chat Interface Status: Show a thinking or reasoning animation while an LLM responds.
Agent Progress Display: Indicate searching, working or background-task states in an agentic coding UI.
Context Compaction Feedback: Visualize compacting states when conversation history is summarized.
Retry and Waiting States: Signal retries or waiting-for-input states with distinct orb variants.
Design System Components: Add a polished AI loading indicator to an in-house React component library.
Prototype AI Products: Quickly drop a refined status animation into demos and prototypes.