How do their growth rates compare?

Aide Dev has a month-over-month growth rate of -1.9%; Miro has +1.7%.

How does pricing compare?

Aide Dev: Paid. No public pricing tiers are advertised on the site. aide.dev presents itself as a developer tools lab with research writing; commercial terms are not listed publicly, so check with the team. Miro: Freemium, Contact for Pricing. Freemium with three paid paths. Free covers small teams with 3 editable boards, templates, and core formats. Starter runs about $8 per member/month billed yearly with unlimited private boards and 25 AI credits per member. Business is about $20 per member/month billed yearly with workspaces, prototyping, and AI workflows. Enterprise is quoted on request with SSO, governance, and dedicated support.

What are alternatives to Aide Dev and Miro?

Other tools in related categories include Cursor, Google Antigravity, Replit, Kiro, Devin.

Aide Dev vs Miro — Traffic (5.08K vs 30.75M), Pricing & Verdict

Open AI Tools

Aide Dev vs Miro — Traffic (5.08K vs 30.75M), Pricing & Verdict | Open AI Tools

Side-by-Side Traffic & Specification Matrix

Dimension / Metric	Aide Dev	Miro
Official Domain	aide.dev	miro.com
Pricing Model	Paid	Freemium, Contact for Pricing
Monthly Visits	5.08K (5,079)	30.75M (30,749,206)
MoM Traffic Delta	-98 (-1.9%)	+505.1K (+1.7%)
Primary Market & Share	🇺🇸 United States (79.7%)	🇺🇸 United States (19.4%)
Direct Visits / mo	2.02K	20.18M
User Rating	4.5	4.5
Supported Platforms	Website	Website

Aide Dev

AI agents for software engineering, scaled at inference time

Inference-time scaling

Agents invest additional compute at test time to reason, explore and verify before producing a fix, rather than relying only on a single forward pass.

Software engineering agents

Systems aimed at real repository work: locating the relevant code, understanding intent and producing changes that address an issue.

Public benchmark results

The team publishes measured outcomes, including a reported 62.2% resolve rate on SWE-bench Verified.

Technical blog

Regular engineering notes covering agent architecture, evaluation methodology and lessons learned from building coding systems.

Strengths & Pros

+Publishes concrete benchmark numbers rather than vague marketing claims
+Focus on inference-time scaling addresses a genuinely hard part of agentic coding
+Writing is aimed at engineers, with methodology discussed openly
+Minimal, fast-loading site with no aggressive signup funnel