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@getyak

Getyak

Independent AI products for personal context, human relationships, and real-world decisions.
Getyak

Getyak

Human judgment, amplified by agents.

An independent AI product studio building tools for personal context, human relationships, and real-world decisions.

Explore the products → · Field notes


What we build

AI is abundant. Context, trust, and judgment are not.

Getyak builds products that help people preserve what matters, inspect how a system reached a conclusion, and stay in control when an action has real consequences.

Products in motion

Product What it helps you do Current signal
Talent Signal Turn recruiter-controlled conversation evidence into reviewable relationship context and one useful next step. Early product foundation
DayPage Capture raw daily moments and compile them into a journal and a portable personal knowledge layer. Active build
Solo Compass Discover concrete, story-rich experiences through an AI-curated living map for solo travel. TestFlight preparation
Telepace Keep real customer voices inside product decisions with voice-native, agent-first research infrastructure. Public beta
Apply Agent Organize a high-quality job search while keeping browser execution and final submission under user control. Public design specification

Systems and experiments

  • CCT is a local-first capture, search, and analysis layer for Claude Code conversations.
  • Rumu explores what a living, human-annotated library for canonical books could feel like.

How we build

  • Evidence before inference. Keep every consequential claim traceable to its source.
  • Humans approve consequences. Models may propose; people authorize external or irreversible actions.
  • Reversible by default. Prefer local state, previews, checkpoints, and recovery paths.
  • Complete loops over broad surfaces. Prove one useful path end to end before adding more.

Build with us

Start with a real user job, show the evidence, keep the change reviewable, and use synthetic or explicitly authorized data. AI assistance is welcome; the contributor remains responsible for the result.

Contribution guide · Security policy · Community standards


Built from lived practice. Designed for inspectability. Kept human at the point of consequence.

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  1. talent-signal talent-signal Public

    Evidence-first relationship intelligence for independent recruiters and boutique search teams—turn candidate conversations into reviewable next steps.

    TypeScript

  2. daypage daypage Public

    An AI-native journal that turns raw daily notes, voice, photos, and context into readable pages and a portable personal knowledge layer.

    Swift 1 1

  3. solo-compass solo-compass Public

    A living map for solo travelers—map-first, experience-as-unit, and AI-curated.

    Swift

  4. telepace-next telepace-next Public

    Voice-native, agent-first user research infrastructure that turns interviews into structured, actionable product insight.

    Python

  5. apply-agent apply-agent Public

    A trustworthy, client-side AI job-search copilot for role discovery, tailored materials, interview prep, and application tracking.

    TypeScript 1

  6. cct cct Public

    Local-first Claude Code conversation tracker—automatically capture, search, and analyze coding sessions.

    TypeScript

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