Product name generator · source-backed

Generate product names with the decision work attached.

Start with positioning rather than a word fragment. NamingSignal separates creative breadth from domain evidence, competitive collision research, brand width, pronunciation, and the unresolved work a human still needs to finish.

Step 1 · Your project

Describe what you’re naming

One sentence is enough. Add the audience, problem, or differentiator—or paste a full README.

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Try an example
Which domain endings could you launch on?

Select up to five. You’ll review the full availability rule and optional handles next.

Next: review the brief and all checks.com + .app + .io + .ai selected · matching handles remain optional
How project context and learning data are handled

The visible text or one fetched public page is capped and screened first. A user-selected public page may be sent to the configured model provider to infer an evidence-grounded brief; pasted and uploaded text stays on the deterministic compiler at this step. No repository clone, source tree, `.env`, credentials, dependencies, or private-network URL. When you sign in, your full sprint is saved privately to your account. NamingSignal separately records the names shown, bounded brief labels, domain evidence, shortlist/reject/winner actions, and registrar-link clicks to improve future results; raw pasted or uploaded source text is not copied into that internal learning ledger. Exact domain checks may be reused until their displayed evidence becomes stale.

01

Four creative directions

Generate distinct strategic, metaphorical, functional, and coined directions instead of 100 near-duplicates.

02

Quality is not availability

A free domain cannot rescue a weak name, and a strong name is not silently discarded without comparison.

03

Blockers stay outside averages

Direct competitors, family-of-marks risk, voice failures, and legal unknowns remain visible.

Practical answers

Before you name, check, or ship

Availability is time-sensitive evidence. A final choice still needs current registrar verification, spoken testing, cultural review where relevant, and appropriate legal clearance.

How many product names does a sprint create?

The creator workflow is designed for a broad 100–200-name field, generated in bounded rounds and narrowed through domain and quality evidence.

Is the score an AI opinion?

No single model decides the outcome. Deterministic dimensions, evidence, blockers, editorial rank, and founder resonance remain separately labeled.

Does this replace trademark clearance?

No. Collision research is preliminary due diligence, not legal clearance. Finalists need jurisdiction-appropriate professional review.