Most AI job tools do one small thing.
Rewrite a bullet.
Generate a cover letter.
Maybe “optimize for ATS.”
But the real pain isn’t writing.
It’s managing the chaos:
• Multiple resume versions per role
• Tailoring for every job manually
• Forgetting where you applied
• Losing track of what actually gets interviews
So I built Jobsolv — an AI job-search workspace that handles the full workflow.
What it does:
• Builds a clean, ATS-safe resume from scratch
• Auto-tailors your resume to each job description
• Generates role-specific bullets instead of generic rewrites
• Tracks every application in one dashboard (status, company, resume version)
• Lets you see which resumes actually convert to interviews
It’s built for people who treat job searching like an optimization problem, not a guessing game.
Free to try here:
👉 https://jobsolv.com
Curious what’s hardest for you right now — writing the resume, tailoring it, or keeping track of applications?
This is exactly the part most tools ignore — job search isn’t a writing problem, it’s a workflow + tracking problem.
since this solves a very specific pain, you could also try putting this into a competition
good way to validate it with more devs + get early visibility
also, prize pool just opened at $0, so your odds are the best right now
The hardest part of building an AI job search tool isn't the resume parsing — it's getting the prompts right for each context (tailoring vs tracking vs outreach). Each use case needs a different objective, constraints, and output format, and mixing them into one prompt degrades all three.
I built flompt for exactly this — a visual prompt builder that decomposes prompts into 12 semantic blocks and compiles to Claude-optimized XML. For a product like yours, having separate prompt templates per workflow (tailor, track, draft cover letter) with clean constraints blocks would make the AI outputs much more reliable.
A ⭐ on github.com/Nyrok/flompt would mean a lot — solo open-source founder here 🙏
Great point about managing the chaos. Most AI tools just focus on the output and forget the process.
I’m working on something similar for the journaling space, building a tool that takes a person's daily logs and turns them into a short 5-8 scene movie script. The challenge is always getting the AI to find the 'story' within the raw notes.
Did you find it hard to keep the AI's tone consistent when tailoring the resumes?
"Love the focus on managing the 'chaos' of the workflow rather than just generating text. Most AI tools ignore the strategy part.
I’m doing something similar at Startupily for the founder side of things. We built an Executive Persuasion Engine specifically to help people bridge that authority gap once they land the role or start their own venture.
Great to see more AI tools focusing on precision over fluff. Good luck with the launch!"