Hyper review, pricing and verdict

Last updated: 2026-09-21

Hyper is a YC Spring 2026 AI context infrastructure tool that runs background agents to read connected apps like Notion, Slack, and GitHub, then injects the synthesized knowledge into Claude, Cursor, and Codex through an MCP server. It targets AI-first teams juggling multiple AI tools at once.

About Hyper

Hyper is an AI context infrastructure tool built by Shalin Shah and Kanyes Thaker, both UC Berkeley graduates and former Matic Robots engineers, backed by Y Combinator's Spring 2026 batch. It addresses a problem every AI-first team hits: every time you switch AI tools or start a new conversation, the AI has no memory of your company's context, decisions, or current state. The result is constant context pasting, repeated explanations, and inconsistent outputs across Claude, Cursor, Codex, and ChatGPT.

Hyper solves this with background agents that silently read every update in your company's tools, including Notion documents, Slack messages, GitHub pull requests, emails, calendar invites, and CRM entries. Agent-driven algorithms then synthesize, deduplicate, and clean all of that information into a real-time shared knowledge base. That knowledge base is then injected into every AI tool your team uses via an MCP (Model Context Protocol) server, so Claude, Cursor, Codex, and ChatGPT all receive the same accurate company context on every chat turn without any manual prompting.

The platform is best suited to AI-first teams of 2 to 50 people who run multiple AI coding, writing, or research tools in parallel. Engineering leads and CTOs benefit most: instead of every engineer pasting the same context about architecture decisions or sprint goals into their AI tools, Hyper distributes that knowledge automatically. Founders and operations managers also benefit when they need consistent AI outputs across functions without enforcing a specific prompt library. Teams unsure whether Hyper or a narrower connector fits their stack can compare options through HokAI's Smart Match recommender.

Hyper connects via one-click OAuth or API key authentication, covering Gmail, Slack, HubSpot, Shopify, Notion, GitHub, and more. As of September 2026, using it means downloading a native client that currently ships for macOS only, with a Windows build listed as "coming soon" on heyhyper.ai/download; every account also gets a free Personal workspace that never expires, while a paid Team workspace runs on a metered-token plan after an unlimited trial period (see the pricing FAQ below for the current rates). Y Combinator's own company page reports Hyper onboarded more than 50 teams and reached roughly $1,000 in monthly recurring revenue within its first two weeks live, alongside paid design pilots with companies including Razorpay and Snorkel AI. The founding team brings strong product and robotics engineering credentials, and the two-person team has been friends since their first day at UC Berkeley.

Because Hyper operates with broad read access to company communications and documents, teams should evaluate data handling and access controls carefully before connecting production systems. No public compliance documentation is available at this stage. Inside HokAI's agentic AI tools category, teams also evaluating Glean can weigh the two knowledge-layer approaches side by side.

Screenshots

Pricing

Hyper ships two products: a free Personal workspace built into every account (1M tokens/month, does not upgrade) and paid Team workspaces unlocked via a 3-day unlimited free trial. As of September 2026, published Team pricing is Sprint at $30/seat/month (a promotional rate, down from a $40 list price) with 4M tokens/seat/month, and Blitz at $120/seat/month (down from $150) with 20M tokens/seat/month; Enterprise is custom-quoted with dedicated support and bespoke contract terms. ai/download lists Windows as coming soon.

Key Features

• Silent Context Aggregation: Background agents continuously read Notion docs, Slack messages, GitHub PRs, emails, and calendar invites, synthesizing updates into a shared company knowledge base without requiring any manual input from team members.
• MCP Server for AI Tool Injection: Hyper ships an MCP (Model Context Protocol) server compatible with Claude, Claude Code, Cursor, Codex, ChatGPT, and any MCP-compatible client, injecting company context into every chat turn automatically.
• 160+ Native Integrations: Connects to over 160 verified business tools via one-click OAuth or API key, including Gmail, Slack, HubSpot, Shopify, Notion, and GitHub, covering email, CRM, project management, and code review pipelines.
• Agent-Driven Knowledge Synthesis: Automated algorithms deduplicate, conflict-resolve, and update information across connected tools in real time, so the shared brain reflects the current state of the company rather than stale or contradictory snapshots.
• Zero-Setup Context Injection: No prompts, templates, or configuration required after initial tool connections; Hyper silently infuses the right context into AI tools on every chat turn, making every AI workflow immediately smarter.

Pros

• Eliminates the most common AI workflow friction point: zero context paste-ins needed, replacing a manual step that teams repeat dozens of times per day across Claude, Cursor, and Codex.
• MCP-native from day one, meaning it plugs into Claude Code, Codex, and all major MCP-compatible AI clients without custom API integrations or middleware.
• Every connected tool joins in one pass instead of the piecemeal setup solutions like Notion require, since Hyper's OAuth and API-key connections cover email, CRM, docs, and code review in a single flow.

Cons

• Two-person team at pre-seed stage means reliability, uptime guarantees, and enterprise support SLAs are absent; not appropriate for teams with strict availability requirements.
• Broad read access to email, Slack, CRM, and GitHub raises meaningful data privacy and security questions for teams handling sensitive client data or operating in regulated industries.
• Both paid team tiers display a struck-through higher list price next to a lower current rate (see the pricing FAQ), so teams signing up now should expect the per-seat cost to rise once the promotional pricing ends.
• The client is macOS-only as of September 2026; Windows users are told a build is "coming soon" with no committed date, and there is no browser-based alternative for team workspaces in the meantime.

Visit Hyper Official Website