Help job seekers see how well their resume matches a specific job description, what’s missing, and what to rewrite, before they apply.
Turn a release’s merged pull requests into notes that users can actually read, grouped by what changed for them, ready to edit and publish.
Build a small web tool where someone pastes their resume and a job description and gets a clear comparison back: which requirements the resume already shows, which it never mentions, and concrete suggestions for the wording. It’s a focused use of a language model API, with a real user on the other side: anyone applying for jobs this month.
It also makes an honest portfolio piece if you’re job hunting yourself: you can use it on your own applications and talk about what you learned building it.
Applying for jobs takes a long time, and much of it goes into tailoring the same resume again and again. People often can’t tell whether their resume actually shows what a posting asks for, especially when the posting is long or uses different words for the same skills.
Many companies use applicant tracking systems that let recruiters sort and search applications by keywords, so a strong candidate can be overlooked because their resume describes the right experience in other terms. Generic advice (“use action verbs”, “quantify results”) doesn’t help with a specific posting. What helps is a side-by-side view of this resume against this job.
A single-page app with two text areas, one for the resume and one for the job description, and an “Analyze” button. The server sends both texts to a language model with a structured prompt and asks for JSON back: the requirements in the posting, whether each is covered by the resume (with the line that shows it), the gaps, and two or three suggested rewrites of existing bullet points.
Keep it honest: the tool suggests better ways to describe real experience and never invents experience. Say so in the interface, and write the prompt the same way.
Nothing needs to be stored in the first version. Process the texts, show the result and forget them, which also keeps privacy simple.
Suggestions, not requirements: use what you know and what fits the problem.
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These are possible business models, not proven demand. Nothing here means the idea will make money; checking that comes next.
Spend a few days on these before you spend weeks on code.
Check a handful of websites and APIs every few minutes and get one clear alert when something goes down, built for indie developers who don’t need an enterprise tool.
Let people turn a Markdown document into a well-designed PDF in seconds, with clean templates for proposals, reports and résumés.
