Comparison
Lakshya vs Huntr
Lakshya vs Huntr — honest comparison of two job-search workflow tools. Where each one wins, who each is for, and how to pick between application tracking polish and pre-application evaluation depth.
Huntr and Lakshya share a job-funnel target audience but solve different parts of the funnel. Huntr is mature application-tracker software — a Kanban for your job hunt, with a strong Chrome extension that saves jobs from any portal in two clicks. Lakshya is pre-application evaluation software — a 7-block A-G rubric that scores whether a job is worth applying to in the first place, with archetype detection across 14 tech roles.
Both products are good at what they do. The right tool depends on whether your bottleneck is "I have 80 saved jobs and can't tell which to prioritize" (Huntr) or "I'm about to spend 90 minutes on a tailored application and want a structured second opinion first" (Lakshya).
Who each is for
Lakshya
Senior IC / mid-level PM / career-switcher targeting backend, frontend, AI, mobile, devops, data, security, EM roles. Applies to fewer jobs (10-30/month) but wants structured fit + legitimacy verdict before each.
Huntr
Active job seeker tracking 50-150 applications, often across multiple verticals, who values tracking workflow polish + browser extension speed over pre-application evaluation depth.
Capability comparison
| Capability | Lakshya | Huntr |
|---|---|---|
| Pre-application evaluation depth | 7-block A-G rubric across 14 archetypes | Resume-to-JD keyword match + saved-job tagging |
| Archetype detection | Yes — 14 archetypes (6 AI specialty + 8 general tech) | Manual tags — user-defined |
| Legitimacy / scam-job detection | Yes — high / caution / suspicious tier | No |
| Application tracker / Kanban | Yes — careerops state machine | Yes — flagship feature, mature, polished |
| Chrome extension | Not yet (Phase 7) | Yes — strong feature, save jobs from any portal in 2 clicks |
| Resume builder | Yes — multi-template, with PDF export | Yes — basic resume tailoring |
| CV tailoring per JD | Yes (Phase 3) — operational reframing, never invents experience | Yes — keyword-density-based tailoring |
| LaTeX CV output | Yes (Phase 3, planned) | No — HTML / PDF only |
| BYOK (bring own LLM API key) | Yes ($9/mo, unlimited evals) | No |
| Story bank (STAR+R) | Yes — STAR+R, archetype tags | No |
| Public eval share pages | Yes — opt-in, 3 anonymization levels | No |
| Free tier | 3 evals / month | Limited tracking + 1 resume |
| Pro tier price (USD) | $19 / mo | $39 / mo (Huntr Pro) |
| Pro tier price (INR, India) | ₹499 / mo (PPP-adjusted) | No native INR pricing — pay USD |
| Open-source attribution | Built on career-ops (santifer, MIT) | Closed source |
Where Huntr wins
- Chrome extension is mature and polished. Saving jobs from LinkedIn / Indeed / company pages is essentially friction-free.
- Application-tracker UX is significantly more polished than Lakshya's. Boards, custom fields, document attachments, contacts — all work well.
- Document storage (resume / cover letter / portfolio) at the application level is a legit feature Lakshya doesn't have today.
- Larger user base (~750k+ users) means better case studies, more stable feature set, more support content.
- Job board / Discover-style integration with LinkedIn data is more polished.
Where Lakshya wins
- Pre-application evaluation depth — A-G rubric goes far beyond keyword matching.
- Archetype detection across 14 tech roles — not just AI; includes backend, frontend, mobile, devops, data eng, security, EM.
- Legitimacy detection — ghost-job and scam tier classification.
- BYOK tier — bring your own API key for unlimited evals at $9/mo.
- INR pricing for Indian audience — ₹499/mo PPP-adjusted vs forced USD conversion.
- Story bank with STAR+R structure — interview prep across loops.
- Public share pages — share evaluations with mentors / peers (opt-in, anonymizable).
- Open-source methodology (career-ops, MIT) — auditable rubric.
- Significantly cheaper Pro tier ($19 vs $39).
When to pick which
Pick Lakshya if
You apply to fewer jobs (10-30/month) but want a structured verdict before each one. You target tech roles where archetype fit drives interview-rate. You want INR pricing or BYOK. You value evaluation depth + interview prep over tracker workflow polish.
Pick Huntr if
You apply to many jobs (50-150/month) and need workflow + tracking polish. You want a mature Chrome extension. You're managing applications across multiple verticals (not just tech). You're comfortable paying $39/mo for that polish.
FAQ
- Can I use both?
- Yes — Huntr as your application-tracker hub (Chrome extension to save jobs), Lakshya as your pre-application evaluator (paste JDs into /evaluate before saving them to Huntr). They cover different funnel stages, so stacking is rational for serious job hunters.
- Does Lakshya plan a Chrome extension?
- Yes — Phase 7 of the careerops integration plan. Not shipped today.
- Why doesn't Lakshya have document storage like Huntr?
- It's not on the immediate roadmap. The current resume-builder + CV tailor flow has different ergonomics — you regenerate per JD rather than maintaining a static doc library. If document attachment per application is your primary need, Huntr fits better today.
- Will Lakshya work for non-tech jobs?
- Today, no — the 14 archetypes are tech-specific. The rubric is generalizable but the prompts are tuned for tech roles in 2026. Multi-vertical expansion is post-launch.
- How do I migrate from Huntr to Lakshya?
- Export your Huntr applications as CSV (Huntr supports this) and import into Lakshya — the import flow is on the Phase 7 roadmap. Today you can paste JD descriptions into /evaluate one at a time.
Try Lakshya — 3 free A-G evaluations / month
See whether the structured rubric fits your job hunt. No credit card required for the free tier.
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