I got tired of spraying identical CVs into the void, so I built JobLane
A while back I watched people I care about job-hunting the same brutal way I once did: firing off 40 near-identical CVs a week, tweaking a line here and there, then getting ghosted. The problem was never that they were unqualified — it's that tailoring every application by hand is exhausting, so almost nobody actually does it. Spray-and-pray becomes the default, and it's demoralizing.
JobLane is my attempt to flip that. You paste a job post, it reads what the role actually wants, and it reshapes your CV to fit in a few seconds. The bet is simple: apply to fewer jobs, but make each one count. Fewer applications, better responses, less soul-crushing volume.
Where it's at now:
Core CV-tailoring flow is live at https://joblane.ai
Just shipped a Chrome extension that does a "fit check" against any job posting you're viewing
Working through pre-launch polish and early user feedback
What I'm still figuring out:
Getting the tailoring to feel honest — sharpening a real CV to a role, never inventing experience
Where the line is between "helpful" and "over-automated" for something as personal as your career
If you've job-hunted recently (or hired), I'd genuinely love to hear: what actually made an application land vs. get ignored? And if you want to kick the tires, https://joblane.ai is open — feedback welcome, the more brutal the better.
What stood out to me is the tension between personalization and authenticity.
Tailoring creates value only if it helps someone communicate their real strengths more clearly. Once it starts optimizing for what the employer wants to hear instead of what the candidate has actually done, it solves the short-term problem while creating a much bigger one later.
Honestly the thing I worry about most. Two guardrails: every change has to point back to something real in your CV or the posting (it can't invent a strength you don't have), and you see + can veto every edit. Rule of thumb — sharpen what's true, never manufacture. The moment it oversells beyond your CV, that's the line I block.
I'm glad it resonated.
Reading your reply gave me one thought about what changes once authenticity becomes a product constraint instead of just a policy. I'd rather explain it in the context of what you're building than try to compress it into a few comments.
If you're interested, what's the best email to reach you on?
The tension in the one comment is the real risk with any tailoring tool, there's a fine line between surfacing someone's actual strengths for a specific role and quietly coaching them into saying whatever the employer wants to hear. Fewer, better applications is the right bet over spray-and-pray though, that part isn't really in question. How are you thinking about drawing that line in the product itself, is there a version of "too tailored" you're actively trying to avoid?
The line I draw: mirror the posting's language only where your real experience actually backs it up, never to hit a keyword. The "too tailored" I avoid is anything that sounds good to the employer but isn't true — that stuff gets dropped. So it can make you sound more relevant, just not more experienced than you are.
That's a clean rule, mirror language only where it's already true. The harder edge case is probably borderline experience, someone who did a task once versus someone who does it daily, where the CV language could honestly go either way. Does JobLane make that judgment call automatically, or does it flag those spots and let the user decide how far to lean?
The authenticity tension you're describing is close to something I ran into building a rate-suggestion feature for a media kit tool. Automating anything personal or negotiation-adjacent risks feeling hollow if it just spits out an output without the person understanding why.
What helped for me was surfacing the reasoning instead of just the result, so the person can adjust it themselves rather than trusting a black box. Might be worth something similar in JobLane: show which parts of the CV got reordered or reworded and why, so the user can veto anything that feels like it's overselling. That keeps the human in the loop on the authenticity question instead of just hoping the algorithm gets it right.
The authenticity point in the comments is the real risk here, more than competition. As a freelancer myself, the applications that land are the ones where it's obvious the person actually read the brief and mirrored the client's specific language back, not a generic "I'm a great fit." If JobLane nails that without drifting into inventing experience, that's a genuinely hard problem worth solving. Curious whether you're tailoring tone and keywords only, or also reordering which real experience gets surfaced first based on the job post.
Both, but honesty first. It'll mirror the posting's wording where your real work matches (your "migration" becomes their "cloud migration" — same fact, their words) and bump the most relevant experience up front. What it won't do is surface stuff you haven't actually done. So tone + keywords + reordering real work, never inventing it.
the problem is not the software or the cv, the real problem is, employers never respond to job seekers.
Well, I guess that depends. I've tried Joblane and it worked for me
Nice job. There are other products that does somewhat similar thing. How you intend to compete with them? Are you gonna deploy apps as well? many people would love the app to apply to jobs via phone instantly.
There are a few similar platforms, but the angle's a bit different — JobLane doesn't stop at the CV. It also tracks your interviews and captures feedback/debriefs after each round, then uses that to sharpen your next applications. That interview-feedback loop is something I haven't seen elsewhere, and it's honestly where most of the value is.