About JobStraight
JobStraight is a free, local-first AI job-search platform. It was built after a deep review of the 2025–26 hiring landscape — where mass-apply bots get accounts banned, live interview-cheating tools get offers rescinded, and every resume tool sells a debunked "ATS score" myth.
We took the opposite bets: honest scoring (real skill overlap + the knockout rules recruiters actually use, not keyword-density theater), ban-proof applying (autofill on the company's own career page, you click submit), and practice over cheating (mock interviews that make you stronger, never live answer-feeding).
What we believe
- ✓Quality over volume. 20 tailored applications beat 1,000 sprayed ones — and don't get you banned.
- ✓Free and private. Every tool works with no signup; your data stays in your browser.
- ✓Honest by design. No fake scores, no fabricated testimonials, no dark patterns.
Our guidance is grounded in verified, cited research on how hiring actually works in 2026 — see the guides. Built by an independent team for job seekers in 15 countries.
Open the free app →Why JobStraight exists: the problem in the market
Job-search tools fall into two camps. One sells paywalled resume-builders charging £80–200 per year, usually bundled with an 'ATS score' — a percentage out of 100 that claims to measure how well your resume will parse. The other camp is genuinely free but free-to-exploit: they collect your data, track you, sell insights to advertisers, or both. Neither serves the person actually looking for a job.
The 'ATS score' myth started as a marketing claim by resume-tool vendors in the early 2010s and got repeated so often it reads like fact. No major ATS platform (Workday, Greenhouse, LinkedIn, Indeed) shows a score to candidates. Vendors invented the concept to justify the charge — 'improve your ATS score' sounds useful and quantifiable. It doesn't exist. What exists is parsing — does your resume's text make it into the database — and formatting is part of that, but there is no score.
Mass-apply strategies used to work in the 2010s. Now they fail because platforms detect and penalise them. A candidate applying to 500 jobs gets flagged as a bot or job-board spammer and loses access to the platform entirely. It's not that the resume wasn't polished enough; it's that volume-based applying is no longer viable. Interview 'cheating' tools (providing real-time answers during video calls, feeding prompts during live calls) get caught by employers who now actively check for them, and offers get rescinded when discovered. The market gap is real: candidates need tools that make them genuinely stronger, not tools that make them look stronger on paper.
Our stance: honest scoring, local-first processing, and what we don't do
We don't show you a fake score. Real skill assessment comes from structured practice — the interview coach runs actual interview scenarios and gives you specific feedback on what you said and how it landed. The resume checker shows concrete strengths and gaps in structure, format, and evidence. It doesn't reduce to a percentage because reducing is dishonest. A score looks useful but it's not; specifics are.
Local-first means your data never leaves your device unless you choose to send it. No sign-up, no accounts, no ad tracking, no cookies tracking you across the web after you leave the site. The tools run in your browser. Your resume, your answers, your notes stay private by architecture, not by policy. We can't sell what we don't have.
We don't autofill to a different company's job board on your behalf. Autofill happens on the company's own career page, and you click submit yourself. You stay in control and you can read what we've filled in before you send it. We don't deliberately hide features behind a paywall to make free versions look weak. The free tools are the whole toolkit. And we don't claim to guarantee an interview or an offer. We improve your application and prepare you to perform when you get the chance, but hiring decisions aren't ours to make.
How we maintain this: research, testing, and being candid about limits
Content is grounded in recent hiring research — publicly available recruiting reports, what hiring managers write about their own processes, what candidates actually encounter. When we claim something (e.g., 'reverse-chronological resumes parse better'), we tested it: we ran PDFs through actual major ATS platforms to see how they behave, not assumptions. We don't cite studies we haven't read and we don't repeat 'studies show' claims that trace to vendor marketing.
We don't claim statistics we can't source. The claim that '80% of resumes are rejected by ATS' is widely circulated but traces to small vendor surveys, not rigorous research. We say plainly when we don't know something. We don't know how large an effect a format choice has, we can't predict what any specific recruiter will prefer, and we have no insight into hiring timelines or offer decisions. Those are honest limits, not failures.
We update when the market changes. If LinkedIn or Indeed change how they parse or display resumes, or if hiring norms shift significantly, the guides update. Stale advice hurts more than no advice. The platform's only real vulnerability is becoming wrong over time, so staying current is the priority. We're independent and small, so we move fast when we notice something has changed.
What these tools deliberately will not do
The resume tools reorder, rephrase and check what you have written. They do not invent achievements, and that boundary is deliberate rather than a limitation waiting to be lifted. A generated bullet claiming a result you did not produce survives exactly until an interviewer asks how you measured it, and the cost of that moment is far higher than the benefit of a smoother sentence.
There is no auto-submit anywhere on the site. The application copilot fills a form and stops, leaving you to read it and press the button yourself. Mass submission is what gets accounts restricted on major job boards, and it is also how people end up interviewing for roles they never actually read.
Nothing here promises to beat an applicant tracking system, because nobody outside the hiring company can see how theirs is configured. Where a widely repeated statistic about automatic rejection gets quoted, the honest position is that the circulating figures trace back to small surveys or vendor marketing rather than solid research, and we would rather say that than repeat a number because it is good for business.
Frequently asked questions
Is JobStraight really free, and what is the catch?
The tools are free to use without an account. The catch, such as it is, is that the built-in engine is deterministic rather than a large language model, so its feedback is consistent but less fluent than a paid AI product. You can supply your own AI key in settings if you want richer output, in which case you pay your provider directly and we never see the traffic.
Do you store my resume or the job descriptions I paste in?
No. The tools run in your browser and the text you paste is not uploaded to a server. Anything you save is held in your own browser storage on that device, which also means clearing your browser data removes it and it does not follow you to another machine.
Why does the resume score sometimes look low compared with other tools?
Because it is measuring real overlap against the job description and applying knockout rules, rather than producing a number designed to feel encouraging. A score that congratulates everyone tells you nothing. If the score is low, the missing-skills list underneath it is the part worth acting on.
Do you guarantee a resume will pass an applicant tracking system?
No, and be sceptical of anyone who does. Applicant tracking systems differ, employers configure them differently, and no third party can see how a given company has set theirs up. What can be checked is whether your document parses cleanly and whether it genuinely covers what the posting asks for, which is what these tools do.
How is the content on the site kept current?
Guides are split between evergreen pieces that stay true over time and a rotating set that is revisited as the market shifts. The build flags rotating articles that have not been touched in months so they get reviewed rather than quietly ageing, and the published dates reflect when the text genuinely changed rather than the date of the last deploy.