Set your needs, resources, location, and availability once. Loklyo monitors supported public sources and private, consent-based matches, then tells you what changed, why it fits, and what to do next.
What real task does your product handle with GPT-6 Astra?
Maker
Loklyo turns a user’s needs or offers into structured criteria, then surfaces supported public listings and mutual-consent matches with clear fit reasons and next steps. GPT-6 Astra assisted development through Codex; it does not run in the live product. Matching and eligibility are deterministic, and contact details remain private until both sides choose to connect.
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Maker
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Hi Product Hunt — I built Loklyo because useful opportunities are scattered and become difficult to track once your criteria get specific.
Loklyo lets you create a personal radar for what you need or what you can offer. It monitors supported public sources and private, consent-based matches, then explains what changed, why a match fits, and where to act. The criteria are structured, each source is visible, and private contact details remain private until both sides choose to connect.
GPT-6 Astra in Codex was my engineering partner across the real product work: turning a strict product and release specification into the web app, API, workers, matching flow, security checks, and production acceptance. Astra helped build Loklyo; the product itself stays focused on helping people find relevant opportunities without claiming that unsupported sources were searched.
I am launching the Indonesian experience first at loklyo.com. I would love feedback on the radar setup and whether the match explanations feel clear.