Candidate strength
A calibrated profile score built from experience depth, proven skills, resume craft, GitHub evidence, and professional completeness — not a vanity percentage.
Job-search intelligence
India-first
Atlas reads your profile, your proof of work, and live postings as one system. You see where you actually fit, what is holding the score back, and what to do next — without living in spreadsheets.
(01) Intelligence layer
Signals → scores
Atlas separates signal extraction from scoring. Profiles, jobs, companies, applications, and outcomes become versioned features first; recommendations are built from those features later — so nothing is a black box.
A calibrated profile score built from experience depth, proven skills, resume craft, GitHub evidence, and professional completeness — not a vanity percentage.
Company quality from hiring velocity, open-role history, compensation signals, tech relevance, reputation, and stability — so you spend effort where it pays off.
Every match opens up to show its drivers: skill coverage, seniority fit, company score, freshness, location fit, and the role bar. No black boxes.
Feature snapshots and outcome logs let ranking improve over time — without changing how the product feels to use day to day.
(04) Inside the product
One workspace
The same surfaces you use every day: a match readout that opens to its drivers, a resume workspace, one application timeline, and the connectors that feed your proof of work.
Match score
Backend Engineer · Bengaluru
Illustrative — every score opens to its drivers
Fit
Skill coverage, seniority, company quality, pay, freshness, and location are scored together, not guessed.
Proof
Resume claims are checked against projects, GitHub evidence, profile data, and parsed work history.
Loop
Applications and outcomes are logged, so ranking keeps learning which signals actually matter.
(02) Workflow
Collect → score → act → learn
This is not a generic tracker. Atlas collects market data, turns it into explainable scores, strengthens your profile, and records outcomes so ranking keeps getting better.
Atlas keeps one shared index of roles and companies across Indian job boards, startup listings, internships, and URLs you drop in. Each post is parsed into skills, seniority, location, pay, source, and freshness — so you start from structure, not a hundred open tabs.
Fit is more than resume-to-job keyword overlap. Atlas weighs proven skills, seniority match, company quality, location, compensation, posting freshness, and your own profile strength into one match score you can actually defend.
Resume parsing, ATS checks, completeness scoring, GitHub evidence, and LinkedIn imports show exactly what is strong, what is missing, and what to fix next for the role you are actually chasing.
Applications, cold emails, portal submissions, inbox-detected replies, interviews, assessments, and follow-ups live on one timeline — not scattered across spreadsheets, inboxes, and memory.
Referral posts, contacts, company notes, and recruiter threads stay tied to the roles and companies they can actually influence — so a warm intro never gets lost.
(03) Who it is for
Atlas works best when the search has many moving parts: roles, documents, people, deadlines, and follow-ups. It keeps them connected instead of scattered.
Find internships and first roles, build real resume evidence, track cold emails, and learn which profile gaps matter most right now.
Prioritise realistic opportunities, compare companies, tailor resumes, and keep interviews, assessments, and follow-ups in one place.
Connect people, companies, role context, and outreach history — without turning your job search into a sales pipeline.