Compare AI tools

	Hex A	GitHub Copilot B	Skye A	Symphony A
Tagline	Modern data notebook with Magic AI assistant.	Microsoft/GitHub's autocomplete. Deep VS Code + JetBrains integration.	An agentic iPhone home screen that replaces your static icon grid with AI widgets that proactively surface health, calendar, finance, and local context — without you having to open a single app.	OpenAI's open-source daemon that turns your Linear board into an always-on coding agent factory — tickets go in, pull requests come out.
Category	Data	Coding	Agents	Agents
Pricing	Free + $28+/user/mo	Free (limited) + $10/mo Pro + $19/mo Business	Waitlist / Beta (pricing not yet disclosed)	Free (open-source)
Best for	Data teams at startups + enterprises.	Teams with GitHub already. Devs who don't want to change IDEs.	iPhone power users who are frustrated that Siri is still reactive and want their home screen to actually anticipate their day.	Engineering teams already using Linear + OpenAI Codex who want to stop babysitting agent sessions and instead let the issue tracker drive autonomous coding at scale.
Strengths	SQL + Python + no-code in one notebook Magic AI writes queries + viz for you Team-grade collaboration	Great enterprise story Works in your existing IDE Chat + autocomplete	Ambient, proactive intelligence delivered via native iOS widgets — no app-switching required Cross-domain context: health, calendar, email, finances, and local recommendations in one layer Works within iOS permission model (no jailbreak or sideloading), making App Store approval plausible Strong pre-launch signal: 25k+ waitlist and backing from a16z, True Ventures, and SV Angel	Fully autonomous ticket-to-PR pipeline: every open Linear issue gets its own isolated Codex agent without manual supervision Fault-tolerant Elixir/OTP architecture automatically restarts crashed agents and manages hundreds of concurrent runs WORKFLOW.md keeps all orchestration policy version-controlled inside the repo, so agent behavior is reproducible and reviewable like code Proven internal results: OpenAI reported a 500% increase in landed PRs on some teams within three weeks Open spec encourages community re-implementations in any language, not just Elixir
Weaknesses	Overkill for casual users Enterprise pricing	Less agentic than Cursor/Claude Code Model quality varies	Still pre-launch / beta — zero proven track record and no public pricing yet iPhone-only by design, which immediately locks out half the smartphone market Battery drain and privacy concerns from constant ambient context scanning are real and unresolved	Currently only supports Linear as an issue tracker — GitHub Issues and Jira integrations are not yet official Only OpenAI Codex is officially supported as the agent runtime; other model integrations are community-contributed and incomplete Self-hosted, Elixir-dependent engineering preview with no built-in sandboxing — not suitable for untrusted or production environments out of the box
Kai's verdict	A-tier for data teams. S-tier if you already live in SQL + Python.	B-tier. Solid for autocomplete but the category moved past it. Pick Cursor unless you can't.	The concept is genuinely compelling — turning the home screen into a living AI layer is a smarter bet than yet another chat interface — but this is vaporware until it ships publicly and we see whether Apple's sandbox lets it breathe. (Verdict pending Phi's full review.)	Symphony is the most architecturally serious 'issue tracker as control plane' approach yet — 15K GitHub stars in weeks confirms the idea resonates — but it's still a rough, self-hosted engineering preview that demands Elixir chops and a Linear-only workflow. (Verdict pending Phi's full review.)
Link	Open →	Open →	Open →	Open →