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Graphite features Stacked PRs PR page AI code review Chat Merge queue PR inbox Dev metrics [ Semgrep Semgrep × Graphite How stacked PRs help Semgrep engineers move faster ](\u002Fcustomer\u002Fsemgrep) [ Shopify Shopify × Graphite How Shopify scaled their developer productivity with stacking ](\u002Fcustomer\u002Fshopify) [ Ramp Ramp × Graphite See how Ramp ships code 3x faster with Graphite ](\u002Fcustomer\u002Framp) [ Asana Asana × Graphite Stacking PRs with Graphite helped engineers at Asana save 7 hours per week ](\u002Fcustomer\u002Fasana) [ Tecton Tecton × Graphite How Graphite became the code review tool of choice for engineers at Tecton ](\u002Fcustomer\u002Ftecton) Previous slideNext slide The AI reviewer you can collaborate with With Graphite Chat, get instant context on code changes, fix CI failures, and improve your PRs instantly right from your PR page, so you stay in flow. 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Synced with your GitHub account. Trusted by leading engineering teams at neon-logo neon-logo neon-logo neon-logo Thumbnail for Graphite features video Play Your browser does not support the video tag. Graphite features Stacked PRs PR page AI code review Chat Merge queue PR inbox Dev metrics [ Semgrep Semgrep × Graphite How stacked PRs help Semgrep engineers move faster ](\u002Fcustomer\u002Fsemgrep) [ Shopify Shopify × Graphite How Shopify scaled their developer productivity with stacking ](\u002Fcustomer\u002Fshopify) [ Ramp Ramp × Graphite See how Ramp ships code 3x faster with Graphite ](\u002Fcustomer\u002Framp) [ Asana Asana × Graphite Stacking PRs with Graphite helped engineers at Asana save 7 hours per week ](\u002Fcustomer\u002Fasana) [ Tecton Tecton × Graphite How Graphite became the code review tool of choice for engineers at Tecton ](\u002Fcustomer\u002Ftecton) Previous slideNext slide The AI reviewer you can collaborate with With Graphite Chat, get instant context on code changes, fix CI failures, and improve your PRs instantly right from your PR page, so you stay in flow. Learn more Review faster, ship sooner Get high signal AI reviews on every PR to catch critical bugs and get suggested fixes, pre-merge. Learn more Merge without conflicts or delays Our stack-aware merge queue lands PRs in order and keeps branches green, helping you gain momentum. Learn more Stay unblocked with stacked PRs Break larger PRs into smaller, sequenced changes to accelerate reviews and keep your team moving without waiting on feedback. Fast, focused reviews in a modern PR page A new PR page that highlights your changes, history, and comments, so you can review efficiently, catch what matters, and take action without missing a beat. Everything you need to ship faster One end-to-end tool to simplify and accelerate your workflow Never wait on review again Keep shipping while other changes are under review with stacking. Graphite’s CLI and VS Code extension make it effortless to create and manage stacks, so you can stay unblocked. Start stacking Read more about our CLI Graphite VS Code extension Graphite CLI A review experience built for teams One unified inbox and review workflow for your team’s PRs. Learn more Graphite PR inbox Don't miss a beat Actionable Slack notifications that meet you where you are. Read the docs Graphite notifications Smarter CI Stacking-integrated CI that only runs when you need it. Read about CI Optimizations Graphite CI Optimizer core-tests\u002Fbuild_app (optimized to run later) One platform. All of your review essentials. Your CLI, PR page, inbox, and merge queue, unified in one seamless workflow. Read about merge queues Insights Protections Merge Queue Reviewer Assignment Automations Insights Protections Merge Queue Reviewer Assignment Automations The collaborative AI reviewer built into your PR page Resolve CI failures, apply suggested fixes, and commit your changes — all in one conversation. Start chatting Chat feature interface Chat feature interface Read more about all our features Developer infrastructure built for your team Graphite works seamlessly with the technologies you already use Where change happens Organizations that adopt Graphite ship more code with smaller PRs and faster review cycles. Synced with GitHub GitHub sync and deep integration means your team is always on the same page. Built on top of Git Graphite is integrated with all your git scripts, aliases, and workflows. Built for the world’s fastest engineering teams, now available for everyone. Request a demo [Start free trial ](https:\u002F\u002Fapp.graphite.com\u002Fsignup). A Bento Grid, Clean \u002F Minimalist, Dark Mode website in the SaaS & Software industry. The overall color palette features Black, White, Gray. The typography features DM Mono (Sans Serif), DM Mono (Sans Serif), JetBrains Mono (Sans Serif), Inter (Sans Serif). Built using Amazon Web Services, Vercel. AI description: Graphite is a high-performance AI-driven code review platform designed to streamline the software development lifecycle for engineering teams. By integrating deeply with GitHub, it aims to eliminate bottlenecks in the pull request process, allowing developers to ship higher quality code with increased velocity through features like stacked changes and automated insights. The visual identity is sophisticated and cutting-edge, utilizing a sleek dark mode aesthetic that resonates with modern developer culture. The design employs high-contrast typography, glowing geometric abstractions, and a sophisticated bento-grid layout to present complex technical capabilities in an organized, premium manner. It strikes a perfect balance between professional enterprise software and the high-tech allure of futuristic developer tools.",{"id":446,"website_id":447,"page_id":446,"name":448,"slug":449,"url":450,"website_name":448,"website_slug":449,"website_url":451,"result_url":450,"fetched_at":452,"score":453,"score_boost":315,"ai_score":454,"freshness_score":455,"scored_at":456,"page_name":39,"page_url":450,"page_title":457,"page_description":458,"page_content":459,"page_sort":315,"is_home":320,"is_home_rank":321,"page_type_id":322,"page_type_name":46,"cover":460,"cover_mobile":463,"cover_sequence":465,"translations":553,"industry":21,"styles":556,"credits":558,"font_families":559,"technologies":560,"pagespeed":561,"pagespeed_mobile":568,"buckets":574,"search_payload":575},"f64a99d6-8132-4221-9005-413dc69c40fb","54ab08c3-d78d-4c08-ad82-b351209b2e3b","Superset","superset","https:\u002F\u002Fsuperset.sh\u002F","https:\u002F\u002Fsuperset.sh","2026-05-03T21:16:35.000Z",81,83,74,"2026-05-23T19:17:32.000Z","Superset - Run 10+ parallel coding agents on your machine","Run 10+ parallel coding agents on your machine. Spin up new coding tasks while waiting for your current agent to finish. Quickly switch between tasks as they need your attention.","The Code Editor for AI Agents.The Cod Orchestrate 100+ coding agents in parallel. Works for any agents. Built for the AI era. Join WaitlistView on GitHub superset New Workspace superset(5) ⠼ new workspace creating... ⠼ use any agents +46\\-1 use-any-agents#733 create parallel branches +193 create-parallel-branches#815 see changes +394\\-23 see-changes#884 open in any IDE +33 open-in-any-ide#816 forward ports +127\\-8 forward-ports#902 ⌥Ports 4 use any agents 3002 see changes 300030015678 Claudeclaude Codexcodex Geminigemini Cursorcursor ⬛Terminal □ \\ ▐▛███▜▌ \\ \\ ▝▜█████▛▘ \\ \\ ▘▘ ▝▝ \\ Claude Code v2.0.74 Opus 4.5 · Claude Max ~\u002F.superset\u002Fworktrees\u002Fsuperset\u002Fcloud-ws ❯ \u002Fmcp MCP Servers 1 connected ❯1.superset-mcp✓ connected config: .mcp.json ❯Type a task for Claude... ↑ ❯ superset new ⠼Setting up new parallel environment... → create worktree → install deps → ready shell Review Changes #827 Commit message... ↑Push26 bun.lock +38\\-25 packages\u002Fdb\u002Fsrc\u002Fschema cloud-workspace.ts +119 enums.ts +21 apps\u002Fdesktop\u002Fsrc\u002Frenderer CloudTerminal.tsx +169 useCloudWorkspaces.ts +84 LegacyTerminalPane.tsx \\-42 WorkspaceSidebar.tsx +14 apps\u002Fapi\u002Fsrc\u002Ftrpc\u002Frouters ssh-manager.ts +277 index.ts +7 Review PR #827 Open cloud-workspace.tsenums.ts+4 more @@ -1,4 +1,6 @@ 1import { db } from \"..\u002Fdb\" +import { CloudWorkspace } from \".\u002Ftypes\" +import { createSSHConnection } from \".\u002Fssh\" 2 \\-export const getWorkspaces = () =\\> { +export const getWorkspaces = async () =\\> { 4 return db.query.workspaces ApproveComment External IDE src index.ts utils.ts types.ts import { Agent } from \"ai\" import { tools } from \".\u002Futils\" │ const agent = new Agent({ model: \"claude-4\", tools: \\[tools.read, tools.write\\] }) Use Any AgentsCreate Parallel BranchesSee ChangesOpen in Any IDE Trusted by builders from Microsoft OpenAI Netflix Wordware Salesforce Wix Datadog Intercom ByteDance Toss Google Vercel Cloudflare Amazon Microsoft OpenAI Netflix Wordware Salesforce Wix Datadog Intercom ByteDance Toss Google Vercel Cloudflare Amazon Parallel Execution Run dozens of agents at once Launch multiple AI coding agents across different tasks. Work on features, fix bugs, and refactor code — all in parallel. Superset In Progress 3 Analyze Tab vs Agent Usag... Generating PyTorch MNIST Experiments Generating Fix PR Comments Fetching I... Generating Ready for Review 3 Enterprise Order Mana...now +93\\-18· Perfect! I've implem... Set up Cursor Rules fo...30m +37· Set up Cursor Rules f... Bioinformatics Tools45m +135\\-21· Bioinformatics Tools \\> ⌘↵ Universal Compatibility Works with any CLI agent Superset is agent-agnostic. Use Claude Code, OpenCode, Cursor, or any CLI-based coding tool. Switch between agents seamlessly. superset main New Terminal... Claude Claude OpenCode OpenCode Codex Codex Gemini Gemini Cursor Agent Cursor Agent Terminals (3) Isolation Changes are isolated Each agent runs in its own isolated Git worktree. No merge conflicts, no stepping on each other's changes. Review and merge work when you're ready. components\u002FHeroSection\u002FHeroSection.tsx Side by SideInline Messages Commits3 Against Main Unstaged HeroSection.tsx+12\\-3 GridBackground.ts+45 constants.ts+8\\-2 ProductDemo.tsx+23\\-15 1 export function HeroSection() { 2 return ( 3\\- \u003Cdiv className=\"hero-old\"> 4+ \u003Csection className=\"relative py-24\"> 5+ \u003CGridBackground \u002F> 6 \u003Cdiv className=\"max-w-7xl mx-auto\"> 7\\- \u003Ch1>Welcome\u003C\u002Fh1> 8+ \u003Cmotion.h1 9+ initial={{ opacity: 0 }} 10+ animate={{ opacity: 1 }} 11+ > 12+ Superset 13+ \u003C\u002Fmotion.h1> 14 \u003C\u002Fdiv> 15\\- \u003C\u002Fdiv> 16+ \u003C\u002Fsection> 17 ); 18 } Open Anywhere Open in any IDE Jump into your favorite editor with one click. VS Code, Cursor, Xcode, JetBrains IDEs, or any terminal — open worktrees exactly where you need them. superset src Search files... CursorOpen in components HeroSection.tsx constants.ts index.ts hooks utils Finder Finder Cursor Cursor ⌘O VS Code VS Code Xcode Xcode Sublime Text Sublime Text Terminal Terminal JetBrains JetBrains What builders say about Superset [ Abhi Aiyer Abhi Aiyer Co-founder & CTO at Mastra Just realized that I have done all my work in @superset\\_sh since Dec 26. ](https:\u002F\u002Fx.com\u002Fabhiaiyer\u002Fstatus\u002F2013782002332283180) [ Zach Dive Zach Dive Co-founder & CEO at Adam if you're not using @superset\\_sh, you're getting left behind in 2026 ](https:\u002F\u002Fx.com\u002Fzachdive\u002Fstatus\u002F2014038312508424597) [ Chase McDougall Chase McDougall Founding Engineer at Decoda Health @superset\\_sh is a sick product - love OS since I don't have to wait for someone else to fix bugs ](https:\u002F\u002Fx.com\u002FChaseMcDou\u002Fstatus\u002F2013458004977373643) [ Vlad Arbatov Vlad Arbatov Founding Engineer at Loyal superset became my default tools now so keep the great work folks ](https:\u002F\u002Fx.com\u002Fvladzima\u002Fstatus\u002F2032306550073610246) [ Chris Laupama Chris Laupama TS Lead at Webflow Oh snap @superset\\_sh is soooooo damn good! Now THIS is the experience I've been wanting for CLI agents! ](https:\u002F\u002Fx.com\u002Fchrislaupama\u002Fstatus\u002F2011148329443607037) [ Eric Clemmons Eric Clemmons Principal Engineer at Cloudflare Was using Warp, but now @superset\\_sh has become my primary terminal ](https:\u002F\u002Fx.com\u002Fericclemmons\u002Fstatus\u002F2013413118467056004) [ Leo Leo Co-founder & CTO at Outlit hasn't been a day i haven't used superset since onboarding complete paradigm shift on how i use ai to code ](https:\u002F\u002Fx.com\u002FLeosReal\u002Fstatus\u002F2027306293858586745) [ Elias Ståvik Elias Ståvik Founder at Cleanroom just started using remote desktop instead of ssh just to be able to use @superset\\_sh on my mac mini from my macbook pro generational product in the making, mark my words ](https:\u002F\u002Fx.com\u002Feliasstravik\u002Fstatus\u002F2020580091449708978) [ Gregor Zunic Gregor Zunic Co-founder & CTO at Browser Use Damn @superset\\_sh is really cool. You should try it. worktrees are a breeze cmd + t auto opens Claude Code you can view git changes within itself closing a laptop doesn't kill the sessions ](https:\u002F\u002Fx.com\u002Fgregpr07\u002Fstatus\u002F2013038355630432742) [ Felipe Coury Felipe Coury Codex at OpenAI If you prefer a more GUI-oriented approach to multiple agents in parallel, it seems like @superset\\_sh is doing a tremendous job. ](https:\u002F\u002Fx.com\u002Ffcoury\u002Fstatus\u002F2010477904472281220) [ Iven Iven Engineer at Paraflow Tested various GUI tools for git worktree and agents - Conductor, Vibe Kanban, Agentastic, Crystal, FleetCode, Emdash, Sculptor - but Superset suits my taste the best TranslatedShow original](https:\u002F\u002Fx.com\u002Fivenvd\u002Fstatus\u002F2011738469610242559) Frequently asked questions I already use an IDE like Cursor, is this for me? Which AI coding agents are supported? How does the parallel agent system work? Is Superset free to use? Can I use my own API keys? Try Superset now. 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Positioned as \"The Code Editor for AI Agents,\" the platform aims to maximize developer productivity by allowing users to spin up parallel branches of coding tasks, effectively eliminating the downtime typically spent waiting for single-agent execution. It is built for the next generation of software engineers who integrate autonomous agents into their local development workflows.\n\nThe visual identity is unapologetically technical and modern, utilizing a sophisticated dark mode aesthetic that resonates with the developer community. The design employs heavy, impactful typography and a structured grid layout to showcase social proof from industry giants like Microsoft, OpenAI, and Netflix. By combining a minimalist color palette with high-contrast elements and a clean, functional interface, Superset establishes a sense of power, efficiency, and cutting-edge technological authority.",[33,30,557],"Typographic \u002F Big Type",[],[272,249],[231,226,227,228],[562,564,566,567],{"score":563,"category":61},57,{"score":565,"category":64},100,{"score":565,"category":67},{"score":565,"category":70},[569,571,572,573],{"score":570,"category":61},30,{"score":565,"category":64},{"score":565,"category":67},{"score":565,"category":70},[443,80,84],"Website: Superset. Page: Homepage. Page type: Home \u002F Landing Page. Page title: Superset - Run 10+ parallel coding agents on your machine. Page description: Run 10+ parallel coding agents on your machine. Spin up new coding tasks while waiting for your current agent to finish. Quickly switch between tasks as they need your attention.. Page content: The Code Editor for AI Agents.The Cod Orchestrate 100+ coding agents in parallel. Works for any agents. Built for the AI era. Join WaitlistView on GitHub superset New Workspace superset(5) ⠼ new workspace creating... ⠼ use any agents +46\\-1 use-any-agents#733 create parallel branches +193 create-parallel-branches#815 see changes +394\\-23 see-changes#884 open in any IDE +33 open-in-any-ide#816 forward ports +127\\-8 forward-ports#902 ⌥Ports 4 use any agents 3002 see changes 300030015678 Claudeclaude Codexcodex Geminigemini Cursorcursor ⬛Terminal □ \\ ▐▛███▜▌ \\ \\ ▝▜█████▛▘ \\ \\ ▘▘ ▝▝ \\ Claude Code v2.0.74 Opus 4.5 · Claude Max ~\u002F.superset\u002Fworktrees\u002Fsuperset\u002Fcloud-ws ❯ \u002Fmcp MCP Servers 1 connected ❯1.superset-mcp✓ connected config: .mcp.json ❯Type a task for Claude... ↑ ❯ superset new ⠼Setting up new parallel environment... → create worktree → install deps → ready shell Review Changes #827 Commit message... ↑Push26 bun.lock +38\\-25 packages\u002Fdb\u002Fsrc\u002Fschema cloud-workspace.ts +119 enums.ts +21 apps\u002Fdesktop\u002Fsrc\u002Frenderer CloudTerminal.tsx +169 useCloudWorkspaces.ts +84 LegacyTerminalPane.tsx \\-42 WorkspaceSidebar.tsx +14 apps\u002Fapi\u002Fsrc\u002Ftrpc\u002Frouters ssh-manager.ts +277 index.ts +7 Review PR #827 Open cloud-workspace.tsenums.ts+4 more @@ -1,4 +1,6 @@ 1import { db } from \"..\u002Fdb\" +import { CloudWorkspace } from \".\u002Ftypes\" +import { createSSHConnection } from \".\u002Fssh\" 2 \\-export const getWorkspaces = () =\\> { +export const getWorkspaces = async () =\\> { 4 return db.query.workspaces ApproveComment External IDE src index.ts utils.ts types.ts import { Agent } from \"ai\" import { tools } from \".\u002Futils\" │ const agent = new Agent({ model: \"claude-4\", tools: \\[tools.read, tools.write\\] }) Use Any AgentsCreate Parallel BranchesSee ChangesOpen in Any IDE Trusted by builders from Microsoft OpenAI Netflix Wordware Salesforce Wix Datadog Intercom ByteDance Toss Google Vercel Cloudflare Amazon Microsoft OpenAI Netflix Wordware Salesforce Wix Datadog Intercom ByteDance Toss Google Vercel Cloudflare Amazon Parallel Execution Run dozens of agents at once Launch multiple AI coding agents across different tasks. Work on features, fix bugs, and refactor code — all in parallel. Superset In Progress 3 Analyze Tab vs Agent Usag... Generating PyTorch MNIST Experiments Generating Fix PR Comments Fetching I... Generating Ready for Review 3 Enterprise Order Mana...now +93\\-18· Perfect! I've implem... Set up Cursor Rules fo...30m +37· Set up Cursor Rules f... Bioinformatics Tools45m +135\\-21· Bioinformatics Tools \\> ⌘↵ Universal Compatibility Works with any CLI agent Superset is agent-agnostic. Use Claude Code, OpenCode, Cursor, or any CLI-based coding tool. Switch between agents seamlessly. superset main New Terminal... Claude Claude OpenCode OpenCode Codex Codex Gemini Gemini Cursor Agent Cursor Agent Terminals (3) Isolation Changes are isolated Each agent runs in its own isolated Git worktree. No merge conflicts, no stepping on each other's changes. Review and merge work when you're ready. components\u002FHeroSection\u002FHeroSection.tsx Side by SideInline Messages Commits3 Against Main Unstaged HeroSection.tsx+12\\-3 GridBackground.ts+45 constants.ts+8\\-2 ProductDemo.tsx+23\\-15 1 export function HeroSection() { 2 return ( 3\\- \u003Cdiv className=\"hero-old\"> 4+ \u003Csection className=\"relative py-24\"> 5+ \u003CGridBackground \u002F> 6 \u003Cdiv className=\"max-w-7xl mx-auto\"> 7\\- \u003Ch1>Welcome\u003C\u002Fh1> 8+ \u003Cmotion.h1 9+ initial={{ opacity: 0 }} 10+ animate={{ opacity: 1 }} 11+ > 12+ Superset 13+ \u003C\u002Fmotion.h1> 14 \u003C\u002Fdiv> 15\\- \u003C\u002Fdiv> 16+ \u003C\u002Fsection> 17 ); 18 } Open Anywhere Open in any IDE Jump into your favorite editor with one click. VS Code, Cursor, Xcode, JetBrains IDEs, or any terminal — open worktrees exactly where you need them. superset src Search files... CursorOpen in components HeroSection.tsx constants.ts index.ts hooks utils Finder Finder Cursor Cursor ⌘O VS Code VS Code Xcode Xcode Sublime Text Sublime Text Terminal Terminal JetBrains JetBrains What builders say about Superset [ Abhi Aiyer Abhi Aiyer Co-founder & CTO at Mastra Just realized that I have done all my work in @superset\\_sh since Dec 26. ](https:\u002F\u002Fx.com\u002Fabhiaiyer\u002Fstatus\u002F2013782002332283180) [ Zach Dive Zach Dive Co-founder & CEO at Adam if you're not using @superset\\_sh, you're getting left behind in 2026 ](https:\u002F\u002Fx.com\u002Fzachdive\u002Fstatus\u002F2014038312508424597) [ Chase McDougall Chase McDougall Founding Engineer at Decoda Health @superset\\_sh is a sick product - love OS since I don't have to wait for someone else to fix bugs ](https:\u002F\u002Fx.com\u002FChaseMcDou\u002Fstatus\u002F2013458004977373643) [ Vlad Arbatov Vlad Arbatov Founding Engineer at Loyal superset became my default tools now so keep the great work folks ](https:\u002F\u002Fx.com\u002Fvladzima\u002Fstatus\u002F2032306550073610246) [ Chris Laupama Chris Laupama TS Lead at Webflow Oh snap @superset\\_sh is soooooo damn good! Now THIS is the experience I've been wanting for CLI agents! ](https:\u002F\u002Fx.com\u002Fchrislaupama\u002Fstatus\u002F2011148329443607037) [ Eric Clemmons Eric Clemmons Principal Engineer at Cloudflare Was using Warp, but now @superset\\_sh has become my primary terminal ](https:\u002F\u002Fx.com\u002Fericclemmons\u002Fstatus\u002F2013413118467056004) [ Leo Leo Co-founder & CTO at Outlit hasn't been a day i haven't used superset since onboarding complete paradigm shift on how i use ai to code ](https:\u002F\u002Fx.com\u002FLeosReal\u002Fstatus\u002F2027306293858586745) [ Elias Ståvik Elias Ståvik Founder at Cleanroom just started using remote desktop instead of ssh just to be able to use @superset\\_sh on my mac mini from my macbook pro generational product in the making, mark my words ](https:\u002F\u002Fx.com\u002Feliasstravik\u002Fstatus\u002F2020580091449708978) [ Gregor Zunic Gregor Zunic Co-founder & CTO at Browser Use Damn @superset\\_sh is really cool. You should try it. worktrees are a breeze cmd + t auto opens Claude Code you can view git changes within itself closing a laptop doesn't kill the sessions ](https:\u002F\u002Fx.com\u002Fgregpr07\u002Fstatus\u002F2013038355630432742) [ Felipe Coury Felipe Coury Codex at OpenAI If you prefer a more GUI-oriented approach to multiple agents in parallel, it seems like @superset\\_sh is doing a tremendous job. ](https:\u002F\u002Fx.com\u002Ffcoury\u002Fstatus\u002F2010477904472281220) [ Iven Iven Engineer at Paraflow Tested various GUI tools for git worktree and agents - Conductor, Vibe Kanban, Agentastic, Crystal, FleetCode, Emdash, Sculptor - but Superset suits my taste the best TranslatedShow original](https:\u002F\u002Fx.com\u002Fivenvd\u002Fstatus\u002F2011738469610242559) Frequently asked questions I already use an IDE like Cursor, is this for me? Which AI coding agents are supported? How does the parallel agent system work? Is Superset free to use? Can I use my own API keys? Try Superset now. Join Waitlist. A Clean \u002F Minimalist, Dark Mode, Typographic \u002F Big Type website in the SaaS & Software industry. The overall color palette features Black, White, Gray. The typography features IBM Plex Mono (Sans Serif), Inter (Sans Serif). Built using Next.js, Node.js, React, Vercel. AI description: Superset is a high-performance developer tool designed to orchestrate and run multiple AI coding agents in parallel. Positioned as \"The Code Editor for AI Agents,\" the platform aims to maximize developer productivity by allowing users to spin up parallel branches of coding tasks, effectively eliminating the downtime typically spent waiting for single-agent execution. It is built for the next generation of software engineers who integrate autonomous agents into their local development workflows. The visual identity is unapologetically technical and modern, utilizing a sophisticated dark mode aesthetic that resonates with the developer community. The design employs heavy, impactful typography and a structured grid layout to showcase social proof from industry giants like Microsoft, OpenAI, and Netflix. 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DP Code is the best way to code with the AI subscriptions you already pay for. Download for LinuxStar on GitHub Already downloaded by 1,805 people DP Code — AI-powered coding assistant interfaceDP Code — AI-powered coding assistant interface Providers Use what you already pay for. DP Code speaks every major harness. Plug in Claude, Codex, Gemini, or OpenCode with the account you already use. No new bills, no walled gardens. Claude Code Opus 4.7 Opus 4.7, Sonnet 4.6, Haiku — whatever's on your Anthropic plan. Codex GPT-5.5 GPT-5.5, GPT-5.4 Thinking, GPT-5.3 Codex — whatever your ChatGPT plan unlocks. Gemini 3.1 Pro 3.1 Pro and 3.1 Flash, on your Google AI Pro \u002F Ultra subscription. OpenCode Zen + Go Open-source terminal agent on your OpenCode Zen or OpenCode Go subscription. Cursor Coming soon Bring your Cursor subscription into DP Code. Pi Coming soon Bring your Pi assistant into DP Code. The details that make you faster. Every surface is tuned for flow. Inline diffs, instant worktrees, and a one-click PR the moment your agent finishes. Ship One-click PRs Ship the moment your agent lands a green diff. DP Code opens, titles, and files the PR for you. feature\u002Fcontext-meter→mainReady fix: tighten context window meter 4 files·+110−24 Commit Git actions Commit & pushPushCreate PRCreate branch Parallelism Worktree-native Spin up isolated branches without ever opening a terminal. Build three things in parallel without stomping on yourself. - Browser Use Supportdpcode1h - Terminal LSP setupdpcode4d - Inline diffsdpcode12m - Theme tokensdpcode2d Work across projects at the same time. Juggle client work, your product, and experiments without a dozen windows. One sidebar keeps every codebase a click away—each with its own agents, runs, and state. Projects Remodex - Stripe webhook retries35m - Auth role guard2h - Pricing page A\u002FB4h - Refund flow audit1d dpcode emanueledipietro Ten things at once. Lose track of none. Run Claude, Codex, Gemini, and OpenCode across multiple worktrees, across multiple projects, all in one window. Every thread stays exactly where you left it. - Command Palette Themes now - Command Palette Themes 6m - OpenCode Support 25m - Logo Component 36m Parallel chats Split chats. Parallel work. Open a lane per agent or task and keep both threads running at once—same window, no tab shuffle, no lost context. Claude · plan Re-reading auth.ts to map the session flow before we split helpers. 0:05 • 4.5s 2 Files changed Undo - TSsrc\u002Flib\u002Fauth.ts+1 \\-1 - TSsrc\u002Flib\u002Fsession.ts+2 \\-0 0:09 • 2m 3s Split verifySession into two helpers — keep cookies isolated. 0:12 Response • Worked for 9.8s Proposed: extract readCookie and validateExpiry under lib\u002Fsession\u002F. 0:14 • 1.1s Ask anything, @tag files\u002Ffolders, or use \u002F for commands Opus 4.7Low Localmain Full access · 36% Codex · tests Write focused tests for auth — expired tokens and rotation edge cases. 0:03 Response • Worked for 6.2s Wrote auth.test.ts — 12 cases covering the tricky paths. 0:11 • 5.4s 1 Files changed Undo - TSsrc\u002Flib\u002Fauth.test.ts+48 \\-0 0:12 • 0.6s New fixed run: pnpm test auth → 24 passed, 0 failed. 0:13 • 0.8s Ask anything, @tag files\u002Ffolders, or use \u002F for commands GPT-5.5Low Localmain Full access · 36% Handoff Swap models mid-thread. Stuck on a tough bug? Pass it to another model. Full context travels with it. Claude · stale closure bug Hand off Handoff to Claude Handoff to Gemini Handoff to OpenCode Tracing the effect in useSession.ts— the callback closes over an old token after refresh. 0:04 • 3.1s Hand this thread to another model — I want a second pair of eyes before we patch it. 0:18 Handoff • Context synced · 0.4s GPT-5.5· picking up at msg 12Loaded full thread. I'd hoist token reads into a ref so the listener always sees the latest value — want a minimal diff? 0:22 • 2.8s Ask anything, @tag files\u002Ffolders, or use \u002F for commands GPT-5.5Low Localmain Full access · 36% Terminals Every process, in sight. Dev server, test watcher, log tail. Stop alt-tabbing away from the thing that just broke. devtestlogs $ pnpm dev ✓ ready on :3000 ▋ Browser Docs and previews, one pane over. Check what an API returns, watch a preview reload, scan the docs. No context switch. dpcode.cc DP Code · Docs Tool useProvidersWorktrees Preview Start coding with every AI you already pay for. DP Code is free, open source, and built for your subscriptions. Plug in Claude, Codex, Gemini, or OpenCode, and ship faster today. 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The website serves as a landing page for a productivity-focused software application that allows developers to leverage multiple AI models—such as Claude, ChatGPT, and others—simultaneously across different projects. Its primary purpose is to eliminate the friction of switching between multiple AI interfaces, offering a unified workspace for high-velocity software engineering.\n\nThe visual identity is defined by a sophisticated, ultra-minimalist aesthetic that leans heavily into a light-mode, clean design language. Utilizing ample whitespace, precise typography, and subtle UI mockups, the site communicates efficiency and technical clarity. The target audience consists of professional software engineers and power users who demand high-performance tools. The design avoids unnecessary ornamentation, opting instead for a functional, high-end software-as-a-service (SaaS) look that emphasizes ease of use and professional reliability.",[33,689,690],"Corporate \u002F Professional","Monochrome \u002F Grayscale",[],[693,694],"Geist","Geist Mono",[231,226,227,228],[697,698,699,700],{"score":65,"category":61},{"score":166,"category":64},{"score":565,"category":67},{"score":565,"category":70},[702,704,705,706],{"score":703,"category":61},80,{"score":166,"category":64},{"score":565,"category":67},{"score":565,"category":70},[80,84,443,708],"green","Website: DP Code. Page: Homepage. Page type: Home \u002F Landing Page. Page title: DP Code - The best way to code with your AI subscriptions. Page description: DP Code - the best way to code with your AI subscriptions.. Page content: DP CodeDP Code XYouTubeGitHubWebsite 452Download Built to make you extraordinarily productive. DP Code is the best way to code with the AI subscriptions you already pay for. Download for LinuxStar on GitHub Already downloaded by 1,805 people DP Code — AI-powered coding assistant interfaceDP Code — AI-powered coding assistant interface Providers Use what you already pay for. DP Code speaks every major harness. Plug in Claude, Codex, Gemini, or OpenCode with the account you already use. No new bills, no walled gardens. Claude Code Opus 4.7 Opus 4.7, Sonnet 4.6, Haiku — whatever's on your Anthropic plan. Codex GPT-5.5 GPT-5.5, GPT-5.4 Thinking, GPT-5.3 Codex — whatever your ChatGPT plan unlocks. Gemini 3.1 Pro 3.1 Pro and 3.1 Flash, on your Google AI Pro \u002F Ultra subscription. OpenCode Zen + Go Open-source terminal agent on your OpenCode Zen or OpenCode Go subscription. Cursor Coming soon Bring your Cursor subscription into DP Code. Pi Coming soon Bring your Pi assistant into DP Code. The details that make you faster. Every surface is tuned for flow. Inline diffs, instant worktrees, and a one-click PR the moment your agent finishes. Ship One-click PRs Ship the moment your agent lands a green diff. DP Code opens, titles, and files the PR for you. feature\u002Fcontext-meter→mainReady fix: tighten context window meter 4 files·+110−24 Commit Git actions Commit & pushPushCreate PRCreate branch Parallelism Worktree-native Spin up isolated branches without ever opening a terminal. Build three things in parallel without stomping on yourself. - Browser Use Supportdpcode1h - Terminal LSP setupdpcode4d - Inline diffsdpcode12m - Theme tokensdpcode2d Work across projects at the same time. Juggle client work, your product, and experiments without a dozen windows. One sidebar keeps every codebase a click away—each with its own agents, runs, and state. Projects Remodex - Stripe webhook retries35m - Auth role guard2h - Pricing page A\u002FB4h - Refund flow audit1d dpcode emanueledipietro Ten things at once. Lose track of none. Run Claude, Codex, Gemini, and OpenCode across multiple worktrees, across multiple projects, all in one window. Every thread stays exactly where you left it. - Command Palette Themes now - Command Palette Themes 6m - OpenCode Support 25m - Logo Component 36m Parallel chats Split chats. Parallel work. Open a lane per agent or task and keep both threads running at once—same window, no tab shuffle, no lost context. Claude · plan Re-reading auth.ts to map the session flow before we split helpers. 0:05 • 4.5s 2 Files changed Undo - TSsrc\u002Flib\u002Fauth.ts+1 \\-1 - TSsrc\u002Flib\u002Fsession.ts+2 \\-0 0:09 • 2m 3s Split verifySession into two helpers — keep cookies isolated. 0:12 Response • Worked for 9.8s Proposed: extract readCookie and validateExpiry under lib\u002Fsession\u002F. 0:14 • 1.1s Ask anything, @tag files\u002Ffolders, or use \u002F for commands Opus 4.7Low Localmain Full access · 36% Codex · tests Write focused tests for auth — expired tokens and rotation edge cases. 0:03 Response • Worked for 6.2s Wrote auth.test.ts — 12 cases covering the tricky paths. 0:11 • 5.4s 1 Files changed Undo - TSsrc\u002Flib\u002Fauth.test.ts+48 \\-0 0:12 • 0.6s New fixed run: pnpm test auth → 24 passed, 0 failed. 0:13 • 0.8s Ask anything, @tag files\u002Ffolders, or use \u002F for commands GPT-5.5Low Localmain Full access · 36% Handoff Swap models mid-thread. Stuck on a tough bug? Pass it to another model. Full context travels with it. Claude · stale closure bug Hand off Handoff to Claude Handoff to Gemini Handoff to OpenCode Tracing the effect in useSession.ts— the callback closes over an old token after refresh. 0:04 • 3.1s Hand this thread to another model — I want a second pair of eyes before we patch it. 0:18 Handoff • Context synced · 0.4s GPT-5.5· picking up at msg 12Loaded full thread. I'd hoist token reads into a ref so the listener always sees the latest value — want a minimal diff? 0:22 • 2.8s Ask anything, @tag files\u002Ffolders, or use \u002F for commands GPT-5.5Low Localmain Full access · 36% Terminals Every process, in sight. Dev server, test watcher, log tail. Stop alt-tabbing away from the thing that just broke. devtestlogs $ pnpm dev ✓ ready on :3000 ▋ Browser Docs and previews, one pane over. Check what an API returns, watch a preview reload, scan the docs. No context switch. dpcode.cc DP Code · Docs Tool useProvidersWorktrees Preview Start coding with every AI you already pay for. DP Code is free, open source, and built for your subscriptions. Plug in Claude, Codex, Gemini, or OpenCode, and ship faster today. Download for Linux Already downloaded by 1,805 people Made by @emanueledptBased on T3 Code. A Clean \u002F Minimalist, Corporate \u002F Professional, Monochrome \u002F Grayscale website in the SaaS & Software industry. The overall color palette features White, Gray, Black, Green. The typography features Geist (Sans Serif), Geist Mono. Built using Next.js, Node.js, React, Vercel. AI description: DP Code is a specialized developer tool designed to streamline the coding workflow by integrating various AI subscriptions into a single, cohesive environment. The website serves as a landing page for a productivity-focused software application that allows developers to leverage multiple AI models—such as Claude, ChatGPT, and others—simultaneously across different projects. Its primary purpose is to eliminate the friction of switching between multiple AI interfaces, offering a unified workspace for high-velocity software engineering. The visual identity is defined by a sophisticated, ultra-minimalist aesthetic that leans heavily into a light-mode, clean design language. Utilizing ample whitespace, precise typography, and subtle UI mockups, the site communicates efficiency and technical clarity. The target audience consists of professional software engineers and power users who demand high-performance tools. The design avoids unnecessary ornamentation, opting instead for a functional, high-end software-as-a-service (SaaS) look that emphasizes ease of use and professional reliability.",{"id":711,"website_id":712,"page_id":711,"name":713,"slug":714,"url":715,"website_name":713,"website_slug":714,"website_url":716,"result_url":715,"fetched_at":717,"score":453,"score_boost":315,"ai_score":584,"freshness_score":718,"scored_at":719,"page_name":39,"page_url":715,"page_title":720,"page_description":721,"page_content":722,"page_sort":315,"is_home":320,"is_home_rank":321,"page_type_id":322,"page_type_name":46,"cover":723,"cover_mobile":726,"cover_sequence":728,"translations":819,"industry":21,"styles":822,"credits":824,"font_families":825,"technologies":827,"pagespeed":828,"pagespeed_mobile":833,"buckets":838,"search_payload":840},"6b7e1a48-805a-40ab-8df6-3a73f6affac5","fd2fd3fb-4143-442b-8214-32797e39c16a","Cradle","cradle","https:\u002F\u002Fcradle.bio\u002F","https:\u002F\u002Fcradle.bio","2026-05-03T17:47:05.000Z",73,"2026-05-23T19:24:06.000Z","Cradle | Engineer better proteins, faster.","Protein engineering AI, built for scientists. Leverage AI to generate protein candidates and improve their properties. More breakthroughs in fewer experiments — guided by your own experimental data.","[ ](.\u002F) Platform Solutions Company Licensing Resources [ Sign in ](https:\u002F\u002Fapp.cradle.bio\u002Flogin) [ Talk to sales ](.\u002Fget-started) [ News: Introducing CRADLE-1 whitepaper ](.\u002Fwhitepaper) Leverage AI to generate protein candidates and improve their properties. More breakthroughs in fewer experiments — guided by your own experimental data. data ui round ui report ui Generate candidates Track round status easily, from generating candidates to uploading experimental results. Explore reports Manage data OUR CUSTOMERS Trusted by the world's top Biopharma and Industrial Bio R&D teams Through our partnership with Cradle, we are embedding advanced Al directly into how we innovate, enabling our teams to shorten development time and bring real-world biosolutions faster to market. Claus Fuglsang Crone Chief Scientific Officer, Novonesis [ customer-logo Read announcement ](https:\u002F\u002Fwww.linkedin.com\u002Fposts\u002Fnovonesis_biosolutions-innovation-collaboration-activity-7407400799586189312-edTX\u002F)[ customer-logo Read article ](https:\u002F\u002Fwww.pharmavoice.com\u002Fnews\u002Fai-drug-discovery-pharma-immunai-pfizer-novo-nordisk-cradle\u002F758994\u002F) customer-logo [ customer-logo Read announcement ](https:\u002F\u002Fwww.cradle.bio\u002Fblog\u002Fbayer-collaboration) customer-logo customer-logo customer-logo customer-logo customer-logo customer-logo customer-logo Recent case studies [ Using AI to produce vaccine adjuvants without cutting down rainforest ](.\u002Fblog\u002Fkeasling-qs21)[ Engineering therapeutic peptides with 50% success rate under tight multi-property constraints, 5× faster than prior efforts ](.\u002Fblog\u002Ftherapeutic-peptides)[ Improving Staphylococcus aureus vaccine thermostability by 2.5 °C in a single round, 7× faster than rational design ](.\u002Fblog\u002Fstaphylococcus-aureus-vaccine) PROTEIN ENGINEERING 2.0 Compounding results across all properties Get products to market in quarters, not years. Use Cradle to chart the fastest course to proteins that meet all your desired objectives. Explore further, optimize faster, and reach your destination in fewer experiments. +300% T7 RNA Abstract image of clustered white circles on a dark teal background. 1 2 3 4 Round Progress with Cradle Compounding results Move from incremental progress to compounding results with models that learn from every round of your wet lab data. Teams that use Cradle report 2-12x faster development timelines. Breakthroughs on repeat Following a single path puts you at risk of hitting a dead end. Instead, confidently explore multiple design strategies to bring more programs over the finish line and strengthen your IP portfolio. All projects mAb-HER2 Round 4 mAb-TNF Completed vax-HPV9 Completed Binding affinity Specificity Activity Stability Expression Co-optimize all your properties Activity, binding, stability, expression, and more. Co-optimize the properties you care about, turning complex trade-offs into optimized solutions in fewer rounds. WORK ON ANY PROTEIN Built for any protein and all properties Accelerate your journey from hit identification to lead optimization and beyond. If you can measure it, you can optimize it with Cradle. This makes Cradle fit-for-purpose for teams developing therapeutics, agricultural solutions, food ingredients, and more. Antibodies Craft mature and developable binders that avoid unwanted immunogenicity. Enzymes Accelerate specific catalytic conversions, even in challenging conditions. Vaccines Stabilize your antigens and hit therapeutic goals faster. Peptides Get to desired efficacy while ensuring stability. HOW CRADLE WORKS Design in Cradle. Validate in the lab. Quickly generate lab-ready protein candidates to test in your own lab or with a CRO. Track model and candidate performance in your reports. Learn every time you add assay data. [ Explore platform ](.\u002Fplatform) Validate in the lab 4 Build 5 Test 6 Upload Design in Cradle 1 Learn 2 Generate 3 Review Learn 1 Import your data To begin, upload wet lab data from screening or optimization experiments. If you're starting a project from scratch, simply define your goals and assays to get going. Explore your data quality Cradle automatically analyses your experimental data to determine data quality and AI’s ability to learn from it. This helps you to understand how to improve your workflows and assays to get to optimal sequences faster. Models learn with you Every time you upload lab results, Cradle gets better at understanding your protein. This means increasingly performant variants that get you closer to your goals— every round. Generate 2 Generate candidates The game-changer of Cradle: new, optimized candidates at the click of a button. Choose a design strategy, set sequence- or lab based constraints, bring in your knowledge of the protein and hit ‘Generate’. No PhD in computer science needed. Multi-property support Cradle learns the complex interactions between all properties of your protein. During generation, this translates into candidates that balance improved performance across properties with high scores on diversity and novelty. Full-plate optimization The sequences that you download from Cradle are a carefully curated set, selected from millions of _in silico_ designs to maximize your chances of success. Review 3 Reports Generation Reports give you full control over what candidates you bring to the lab and what to expect in performance. See predictive performance scores for your entire plate and explore specific sequences and mutations in 3D. Send to lab Now it’s time to turn bits into atoms. Download sequences from Cradle, then order DNA and run assays in your own lab. Or send the sequences to your favorite CRO. Round statuses Track lab progress in Cradle using Round Statuses and see live metrics per protein property as new assay data comes in from testing. PRIVATE. SECURE. YOURS With Cradle, your sequences and data remain private, secure, and entirely yours. Only you and those you invite can access your data, which is never used to train models for others. Protected by bank-grade security, your data stays secure at all times. Plus, you retain full ownership of your intellectual property—no royalties, just a software subscription fee. Privacy-first AI You experimental data is only used to train your organizations custom models. SOC 2 compliant Cradle is fully SOC 2 compliant with active monitoring and tight security protocols in place. Single Sign-on Secure and simple account management with SSO support for Google and Microsoft. Custom predictors BETA Use internally developed predictors right in Cradle and see outputs inside Reports. Zero-maintenance Fully managed AI infrastructure with optimized GPU that scales with your need. Dedicated support Our team of scientists and ML experts are ready to assist with any issues. THE CRADLE LAB AI that gets better every two weeks Cradle isn’t a CRO, so why do we run our own wet lab in Amsterdam? It's simple. So you get reliable and high-performing models from day one, while your proprietary data remains completely private. Much like a self-driving car company: they wouldn’t just design algorithms and cross their fingers. They need to test real-world scenarios and collect data in order to fine-tune performance. We take the same approach, ensuring our models are performant even before seeing your data. 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By integrating experimental data with generative AI, the platform enables scientists to design, optimize, and validate protein candidates with unprecedented speed and precision. It serves as a critical bridge between computational modeling and wet-lab validation, aiming to reduce the number of physical experiments required to achieve breakthrough biological results.\n\nThe visual identity is deeply rooted in a high-tech, scientific aesthetic, utilizing a sleek dark mode interface that conveys authority and cutting-edge innovation. The design employs bold, oversized typography to command attention, paired with a clean, structured layout that mirrors the precision of the laboratory. Through a combination of minimalist UI elements and high-contrast visual hierarchy, the website establishes a professional and futuristic tone that resonates with a highly specialized audience of researchers, biotech engineers, and pharmaceutical innovators.",[33,30,823],"Futuristic \u002F Sci-Fi",[],[826,249,427],"Spot Mono",[244,227],[829,830,831,832],{"score":164,"category":61},{"score":164,"category":64},{"score":68,"category":67},{"score":71,"category":70},[834,835,836,837],{"score":170,"category":61},{"score":287,"category":64},{"score":68,"category":67},{"score":71,"category":70},[443,80,839,84],"violet","Website: Cradle. Page: Homepage. Page type: Home \u002F Landing Page. Page title: Cradle | Engineer better proteins, faster.. Page description: Protein engineering AI, built for scientists. Leverage AI to generate protein candidates and improve their properties. More breakthroughs in fewer experiments — guided by your own experimental data.. Page content: [ ](.\u002F) Platform Solutions Company Licensing Resources [ Sign in ](https:\u002F\u002Fapp.cradle.bio\u002Flogin) [ Talk to sales ](.\u002Fget-started) [ News: Introducing CRADLE-1 whitepaper ](.\u002Fwhitepaper) Leverage AI to generate protein candidates and improve their properties. More breakthroughs in fewer experiments — guided by your own experimental data. data ui round ui report ui Generate candidates Track round status easily, from generating candidates to uploading experimental results. Explore reports Manage data OUR CUSTOMERS Trusted by the world's top Biopharma and Industrial Bio R&D teams Through our partnership with Cradle, we are embedding advanced Al directly into how we innovate, enabling our teams to shorten development time and bring real-world biosolutions faster to market. Claus Fuglsang Crone Chief Scientific Officer, Novonesis [ customer-logo Read announcement ](https:\u002F\u002Fwww.linkedin.com\u002Fposts\u002Fnovonesis_biosolutions-innovation-collaboration-activity-7407400799586189312-edTX\u002F)[ customer-logo Read article ](https:\u002F\u002Fwww.pharmavoice.com\u002Fnews\u002Fai-drug-discovery-pharma-immunai-pfizer-novo-nordisk-cradle\u002F758994\u002F) customer-logo [ customer-logo Read announcement ](https:\u002F\u002Fwww.cradle.bio\u002Fblog\u002Fbayer-collaboration) customer-logo customer-logo customer-logo customer-logo customer-logo customer-logo customer-logo Recent case studies [ Using AI to produce vaccine adjuvants without cutting down rainforest ](.\u002Fblog\u002Fkeasling-qs21)[ Engineering therapeutic peptides with 50% success rate under tight multi-property constraints, 5× faster than prior efforts ](.\u002Fblog\u002Ftherapeutic-peptides)[ Improving Staphylococcus aureus vaccine thermostability by 2.5 °C in a single round, 7× faster than rational design ](.\u002Fblog\u002Fstaphylococcus-aureus-vaccine) PROTEIN ENGINEERING 2.0 Compounding results across all properties Get products to market in quarters, not years. Use Cradle to chart the fastest course to proteins that meet all your desired objectives. Explore further, optimize faster, and reach your destination in fewer experiments. +300% T7 RNA Abstract image of clustered white circles on a dark teal background. 1 2 3 4 Round Progress with Cradle Compounding results Move from incremental progress to compounding results with models that learn from every round of your wet lab data. Teams that use Cradle report 2-12x faster development timelines. Breakthroughs on repeat Following a single path puts you at risk of hitting a dead end. Instead, confidently explore multiple design strategies to bring more programs over the finish line and strengthen your IP portfolio. All projects mAb-HER2 Round 4 mAb-TNF Completed vax-HPV9 Completed Binding affinity Specificity Activity Stability Expression Co-optimize all your properties Activity, binding, stability, expression, and more. Co-optimize the properties you care about, turning complex trade-offs into optimized solutions in fewer rounds. WORK ON ANY PROTEIN Built for any protein and all properties Accelerate your journey from hit identification to lead optimization and beyond. If you can measure it, you can optimize it with Cradle. This makes Cradle fit-for-purpose for teams developing therapeutics, agricultural solutions, food ingredients, and more. Antibodies Craft mature and developable binders that avoid unwanted immunogenicity. Enzymes Accelerate specific catalytic conversions, even in challenging conditions. Vaccines Stabilize your antigens and hit therapeutic goals faster. Peptides Get to desired efficacy while ensuring stability. HOW CRADLE WORKS Design in Cradle. Validate in the lab. Quickly generate lab-ready protein candidates to test in your own lab or with a CRO. Track model and candidate performance in your reports. Learn every time you add assay data. [ Explore platform ](.\u002Fplatform) Validate in the lab 4 Build 5 Test 6 Upload Design in Cradle 1 Learn 2 Generate 3 Review Learn 1 Import your data To begin, upload wet lab data from screening or optimization experiments. If you're starting a project from scratch, simply define your goals and assays to get going. Explore your data quality Cradle automatically analyses your experimental data to determine data quality and AI’s ability to learn from it. This helps you to understand how to improve your workflows and assays to get to optimal sequences faster. Models learn with you Every time you upload lab results, Cradle gets better at understanding your protein. This means increasingly performant variants that get you closer to your goals— every round. Generate 2 Generate candidates The game-changer of Cradle: new, optimized candidates at the click of a button. Choose a design strategy, set sequence- or lab based constraints, bring in your knowledge of the protein and hit ‘Generate’. No PhD in computer science needed. Multi-property support Cradle learns the complex interactions between all properties of your protein. During generation, this translates into candidates that balance improved performance across properties with high scores on diversity and novelty. Full-plate optimization The sequences that you download from Cradle are a carefully curated set, selected from millions of _in silico_ designs to maximize your chances of success. Review 3 Reports Generation Reports give you full control over what candidates you bring to the lab and what to expect in performance. See predictive performance scores for your entire plate and explore specific sequences and mutations in 3D. Send to lab Now it’s time to turn bits into atoms. Download sequences from Cradle, then order DNA and run assays in your own lab. Or send the sequences to your favorite CRO. Round statuses Track lab progress in Cradle using Round Statuses and see live metrics per protein property as new assay data comes in from testing. PRIVATE. SECURE. YOURS With Cradle, your sequences and data remain private, secure, and entirely yours. Only you and those you invite can access your data, which is never used to train models for others. Protected by bank-grade security, your data stays secure at all times. Plus, you retain full ownership of your intellectual property—no royalties, just a software subscription fee. Privacy-first AI You experimental data is only used to train your organizations custom models. SOC 2 compliant Cradle is fully SOC 2 compliant with active monitoring and tight security protocols in place. Single Sign-on Secure and simple account management with SSO support for Google and Microsoft. Custom predictors BETA Use internally developed predictors right in Cradle and see outputs inside Reports. Zero-maintenance Fully managed AI infrastructure with optimized GPU that scales with your need. Dedicated support Our team of scientists and ML experts are ready to assist with any issues. THE CRADLE LAB AI that gets better every two weeks Cradle isn’t a CRO, so why do we run our own wet lab in Amsterdam? It's simple. So you get reliable and high-performing models from day one, while your proprietary data remains completely private. Much like a self-driving car company: they wouldn’t just design algorithms and cross their fingers. They need to test real-world scenarios and collect data in order to fine-tune performance. We take the same approach, ensuring our models are performant even before seeing your data. [ Get to know our wet lab ](.\u002Flab) Learnings from our wet lab [ ![](https:\u002F\u002Fframerusercontent.com\u002Fimages\u002FbGwzodiFTanxuEUdEmGVycl1E.png?width=1200&heig …. A Clean \u002F Minimalist, Dark Mode, Futuristic \u002F Sci-Fi website in the SaaS & Software industry. The overall color palette features Black, White, Violet, Gray. The typography features Spot Mono (Sans Serif, Schick Toikka), Inter (Sans Serif), JetBrains Mono (Sans Serif). Built using Framer Sites, React. AI description: Cradle is a sophisticated biotechnology platform designed to accelerate protein engineering through the power of artificial intelligence. By integrating experimental data with generative AI, the platform enables scientists to design, optimize, and validate protein candidates with unprecedented speed and precision. It serves as a critical bridge between computational modeling and wet-lab validation, aiming to reduce the number of physical experiments required to achieve breakthrough biological results. The visual identity is deeply rooted in a high-tech, scientific aesthetic, utilizing a sleek dark mode interface that conveys authority and cutting-edge innovation. The design employs bold, oversized typography to command attention, paired with a clean, structured layout that mirrors the precision of the laboratory. Through a combination of minimalist UI elements and high-contrast visual hierarchy, the website establishes a professional and futuristic tone that resonates with a highly specialized audience of researchers, biotech engineers, and pharmaceutical innovators."]