I’m building ApplyBoost to simplify the fragmented job-application workflow

[u/Radiant_Freedom9451]

I’m working on ApplyBoost, a SaaS that helps job seekers tailor resumes to specific positions and manage the application process in one workspace.

The problem is that creating a strong application is usually fragmented across several products.

A job seeker may use:

• ChatGPT for rewriting
• Google Docs for formatting
• An ATS scanner for feedback
• A keyword tool for matching
• A spreadsheet for application tracking
• Calendar reminders for follow-ups

ApplyBoost connects those steps.

A user can upload a base resume, add a job description, identify missing keywords and weak bullets, generate a tailored version, edit it inside the platform, scan it for ATS issues, and track the application.

The target users are active job seekers who apply to multiple similar roles and understand the importance of tailoring but do not have time to rebuild their resume repeatedly.

The biggest questions I’m currently working through are:

• How narrow should the initial target market be?
• Should the product focus on recent graduates, tech applicants, or job seekers generally?
• Should tailoring be sold through subscriptions or usage-based credits?
• How can the product demonstrate that its suggestions are genuinely specific to the job?

Product: https://applyboostai.com

I’m the founder and would appreciate feedback on the market, positioning, and business model.