Hawkeye AI Ventures · Current independent work

Independent Product Designer January 2026–present

I use venture work to test whether a problem is worth building for.

I use independent venture work to frame the problem, make value and risk explicit, redesign the workflow around people and AI, and build enough to test the riskiest assumptions. Each stage ends with a decision to advance, revise, pause, or stop.

Synthetic portfolio data. The demo does not apply, send, contact an employer, negotiate, accept, or decline for the user.

Operating model

A stage-gate model keeps evidence tied to the next decision.

  1. 01

    Discover

    Find the signal, affected people, current work, and uncertainty.

    Is there a real problem?
  2. 02

    Frame

    Separate the root problem from the first proposed solution.

    What is worth pursuing?
  3. 03

    Reimagine

    Redesign the service around human judgment and AI assistance.

    What should change?
  4. 04

    Validate

    Build the smallest useful proof and test the riskiest assumptions.

    What did we learn?
  5. 05

    Decide

    Advance, revise, pause, or stop with the rationale recorded.

    What earns investment?

Current case · HuntMate

A connected, human-controlled workspace for the First-Five job-search journey.

When job-search work spans separate tools and stages, people may spend too much effort recreating context and checking whether AI output is grounded in their real evidence.

01 / Opportunity

Start with the jobs people need to complete, then test whether continuity helps.

A category-level scan organized the opportunity around five connected jobs. It is directional framing, not proof of demand, willingness to pay, or market size.

Job-search workQuestion exploredTestable HuntMate opening
Find and rankCan a person see fit, constraints, and next actions together?Prioritized opportunities with visible context.
Clarify and tailorDoes generated material stay tied to approved evidence?Clarification before drafting, then human approval.
Apply and follow upCan commitments remain attached to the opportunity?Internal state plus a two-day outreach task.
Prepare for interviewsCan preparation reuse evidence without inventing claims?Role-specific preparation grounded in known material.
Evaluate an offerCan AI reduce cognitive load without taking the decision?Comparison, questions, and negotiation preparation.

02 / Human + AI

Higher-consequence actions require more evidence and human review.

AI can prepare

  • Rank opportunities and explain the visible factors.
  • Surface missing evidence and ask focused questions.
  • Draft tailored material for review.
  • Compare an offer and prepare questions or negotiation points.

The person controls

  • What evidence is true and approved.
  • Whether a draft is downloaded, edited, or used.
  • Every application, email, and employer contact.
  • Negotiation, acceptance, decline, and final decisions.
HuntMate service blueprint showing user actions, visible product behavior, AI assistance, human controls, backstage support, evidence, risks, and measures

Service design blueprint V2

How product behavior, AI support, safeguards, and evidence work together.

Open full-size artifact

03 / Working product proof

The current demo covers the full First-Five journey.

These captures come from the current synthetic demo. They demonstrate working product states, not validated user demand or customer outcomes.

01 Login + simulated MFA02 Onboarding + readiness03 Jobs + clarification04 Applied + follow-up05 Interview06 Offer support07 Hired state

01 · Access and trust

Set the control boundary before AI starts recommending.

Login and simulated MFA make the demo boundary explicit. This is product-flow evidence, not production authentication proof.

HuntMate simulated login screen with explicit synthetic-demo and human-control languageHuntMate simulated multi-factor verification screen

02 · Activation and readiness

Collect the minimum required context; make deeper enrichment optional.

The flow captures the search goal and résumé metadata, then confirms when the person has enough to start.

HuntMate onboarding screen asking for target role, location, and work modelHuntMate readiness screen confirming target, location, and synthetic résumé metadata

03 · Opportunity and evidence

Keep fit, constraints, questions, and approved evidence with the job.

The workspace connects prioritized opportunities to clarification and truthful tailoring. Generated material remains a version to review, not a silent rewrite of the master résumé.

HuntMate jobs workspace with opportunity states, fit, and next actionsHuntMate review and clarify workspace that surfaces evidence gaps before tailoring

04–05 · Momentum and preparation

Carry the same opportunity context into follow-up and interview work.

Internal Applied state, a two-day outreach task, and role-specific preparation continue the service without sending anything to an employer.

HuntMate opportunity detail showing the applied date and a two-day outreach follow-up as the next actionHuntMate interview workspace showing preparation progress and explicit answer approval

06–07 · Decision and closure

Help prepare the decision without making it.

Offer support separates known terms from open questions and prepares negotiation points. Hired closes the synthetic lifecycle after the person records a choice; it is not a measured hiring outcome.

HuntMate offer workspace comparing synthetic compensation and preparing negotiation points without contacting an employerHuntMate congratulations screen marking lifecycle closure in a synthetic demo

04 / Investment brief

Before more investment, separate what is known, working, hypothesized, and missing.

The opportunity brief records the current framing, product evidence, assumptions, risks, and investment questions.

Read the opportunity brief

05 / Stage-gate readiness

Each gate asks for specific evidence before moving on.

Problem Framed

Is the problem specific enough to investigate?

Root problem and affected workflow framed.

Opportunity Hypothesis

Could a connected workflow create meaningful value?

Category-level opportunity hypothesis; business value unproven.

Concept Defined

Is human + AI service coherent and bounded?

Journey, blueprint, control model, and risks defined.

Prototype Working evidence

Can the model work as a product?

Current First-Five demo with synthetic states.

Validation Next gate

Do people understand, trust, return to, and value it?

Controlled user evidence not collected.

Beta / invest Not yet earned

Has the opportunity earned broader investment?

Desirability and viability unresolved.

06 / Working product

Try the First-Five demo.

Start with simulated access, move through the connected opportunity workflow, and finish with offer decision support. The demo uses synthetic data and keeps consequential actions with the person.

Open live HuntMate demo ↗

Synthetic data only. No application, email, employer contact, negotiation, acceptance, or decline is sent.

07 / What reality must answer next

What the next test needs to answer.

  1. Can someone understand the connected model and reach first value without coaching?
  2. Do evidence visibility and approval points help people catch and correct weak output?
  3. Does preserved context reduce repeated setup across real opportunities?
  4. Which users value the continuity enough to pay, and what does responsible support cost?

Current decision: Advance to controlled user validation.