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Kinetiq is intentionally simple. The quickest path is to start with a real constraint and force a shortlist.

Back to KinetiqStart with Matchmaker

The core value

Choose based on constraints, not hype.

Kinetiq replaces open-ended searching with structured discovery.

Ask AI Matchmaker

Describe your needs in plain English and get recommendations with a fit score, plus alternatives worth considering.

Structured comparisons

Compare candidates across dimensions that matter in practice, not marketing checklists.

The goal is not to crown a winner. It is to leave you with a decision you can defend.

Try the workflow (60 seconds)

  1. Open Ask AI Matchmaker and describe your constraints.
  2. Skim the Why this fits reasoning and the trade-offs.
  3. Move your top two into Compare and make the call.

A clean decision beats an endless search.

What Kinetiq helps with

Discovery

Browse a broad catalog without getting lost in AI slop.

Filtering

Narrow by hard constraints like pricing, ratings, and growth signals.

Shortlisting

Go from "I have a problem" to "here are three real options" fast.

The Matchmaker workflow

  1. Describe the need. Write it like a human: "I need X for Y situation."
  2. Add hard constraints. Budget, privacy requirements, deployment preferences, integrations.
  3. Review the fit reasoning. Treat the fit score as a heuristic and read the explanation.
  4. Shortlist 2-3 candidates. More than three recreates analysis paralysis.

The Comparison workflow

  1. Select your shortlist. Keep it small.
  2. Compare side-by-side. Look for differences that affect your workflow.
  3. Name the trade-off. Flexibility vs. simplicity, control vs. speed, breadth vs. depth.
  4. Decide and move on. A defensible decision beats a perfect decision that never happens.

Interpreting signals (without fooling yourself)

In fast-moving ecosystems, data is noisy. Kinetiq makes signals usable without pretending they are truth.

Good ways to use signals

  • Narrowing aid: filter out low-momentum options.
  • Outlier detector: "high growth, low rating" is a prompt to investigate.
  • Shared language: align a team on the reason behind a choice.

Bad ways to use signals

  • Treating any single metric as a winner-picker.
  • Assuming the fit score is "correct" without reading the reasoning.
  • Making a decision without naming trade-offs.

Examples you can paste into Matchmaker

  • "I need an AI coding assistant for a small team, strong Python support, and tight editor integration."
  • "I need a writing utility that can handle long documents with citations and a calm interface."
  • "I need a support utility that can draft responses, summarize tickets, and integrate with common systems."
Make constraints explicit. Clarity in, clarity out.

Exporting and sharing

Use exports when you need to:

  • Share a shortlist with teammates.
  • Capture trade-offs for a decision record.
  • Revisit a choice later without restarting research.

The goal is not just to choose. It is to remember why you chose.