HACKTICK.AI
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CAN I VIBECODE

Huntr?

YESA focused first version is a sensible AI-assisted build. Keep the first release narrow and polish the workflow people repeat.

BUILD FIRST

  1. One defined user and a repeatable end-to-end job
  2. A small, clear data model with sign-in only if it is genuinely needed
  3. Loading, empty, error, and success states that make the workflow feel complete

LEAVE FOR LATER

  1. Large integration marketplaces
  2. Multi-region scale and enterprise administration
  3. Every power-user setting from the established product

RESEARCH NOTES

What this tool actually does.

Checked 2026-09-06

Huntr: Job Application Tracker, AI Resume Builder, Tailored Resumes and More — Huntr helps you organize your job search, create tailored resumes and cover letters with AI and fill out job applications in one click.

SOURCES

RESEARCHED BUILD PROMPT

Give this to your coding agent.

Build a focused replacement for Huntr for one clearly defined user, based on this public product description: “Huntr: Job Application Tracker, AI Resume Builder, Tailored Resumes and More — Huntr helps you organize your job search, create tailored resumes and cover letters with AI and fill out job applications in one click.” Do not copy the original brand, proprietary assets, name, logo, UI, or copy; create an original visual system.

Core workflow
- Recreate only the narrow primary workflow described above, with model the product's primary input → workflow → output in an editable interface; make state, errors, and external dependencies visible; provide portable data, export, and deletion controls; include fixture data and a deterministic happy-path test.
- Keep the product name and source description in a research note in the README, and turn every uncertain behavior into an explicit assumption or user setting rather than inventing a feature.
- Use a small React/TypeScript app with a portable JSON or SQLite data model, clear loading/empty/error states, and adapters around external services. Seed realistic demo data so the complete workflow works without paid credentials.

Scope boundaries
- Out of scope for v1: feature-for-feature parity; broad integrations; unverified enterprise or scale claims. Do not promise feature parity, proprietary data, or enterprise reliability.

Include a README with setup, environment variables, data model, implementation decisions, privacy behavior, testing instructions, and important limitations.
Visit the official product page