How to choose startup directories and launch sites
How the startup directory finder works
The finder ranks Mydentify's published directory records against the product type, launch stage, budget, link preference, and audience words you provide. It starts with Directory Score, then adds or subtracts fit signals that are visible in each result.
A match is a research shortlist, not a promise of acceptance or traffic. Submission rules, pricing, and link treatment can change after our last review, so confirm the destination's current terms before you invest time or money.
- Product fit checks the directory's declared product types, category, description, and best-for note.
- Launch stage favors launch platforms for a new release and review or software-discovery sites for established products.
- Budget and link preferences affect fit, but they never erase a more important audience mismatch.
- Unknown evidence stays unknown and can lower the confidence of a recommendation.
Choose sites your customers already use
A relevant niche directory can be more useful than an unrelated high-authority domain. Start by asking whether the destination serves the people who might use, review, buy, or recommend your product. Then check whether the listing is durable, the submission path works, and the effort is proportionate to the opportunity.
Domain Rating is useful context about a domain's backlink profile, but it does not describe the exact listing page, approval likelihood, referral traffic, or product fit. Mydentify keeps it secondary to the evidence needed to complete a real submission decision.
Submit to your best matches first
Begin with five to ten destinations rather than hundreds. Prepare one consistent product brief, create a tracked URL for each campaign when appropriate, record submission dates and live listing URLs, and review the results after enough time has passed for approval and referral activity.
Keep a destination when it produces a credible listing, relevant visitors, useful customer conversations, or a durable citation. Stop repeating low-quality submissions merely because a domain metric looks attractive.