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Curated opportunity · Startup directory

Dev Pages

devpages.io

Discover, compare, and master the best developer tools. Explore AI tools, DevOps platforms, databases, frameworks, and more. Find the perfect tools for your next project.

PricingFree
Domain Rating21Domain Rating by Ahrefs
EvidenceDirectly verified
Why it made the cut

Our editorial take

A developer-focused tool catalog with a direct submission path. It is most relevant to products that technical users can evaluate from public evidence.

Pricing evidence: Reported by a public source list; confirm current pricing with the destination.

Best fit

Who should consider Dev Pages?

Developer tools and technical products with a clear public product page and useful documentation.

Submission path

How to submit to Dev Pages

Use the verified submission destination linked above. Confirm the current eligibility rules, prepare a consistent product identity, and review any account or editorial requirements before sending your information.

Before you submit

What to verify

Submission rules can change between reviews. Check the live destination before investing time or paying a fee.

  • Confirm the destination still accepts your product type.
  • Review current pricing and editorial requirements.
  • Prepare a truthful description, logo, screenshots, and canonical URL.
Supporting evidence

Directory Score: 76/100

The score helps order already-curated opportunities. It does not decide what gets published.

  • Strong product fit
  • Active submission opportunity
  • Accessible submission process
25% product and audience fit20% listing visibility and permanence20% current submission activity15% cost and submission effort10% citation value10% domain authority

Confidence: 100%. The score does not guarantee acceptance, traffic, backlinks, or rankings.

Agentic-first directory data

Built for people. Structured for agents.

Use canonical machine-readable access to Dev Pages's directory record: JSON for structured fields or concise LLM text for retrieval and analysis. These public representations mirror the visible data; access does not guarantee model ingestion or citation.