BUILT FOR SOFTWARE ENGINEERS
Recruit software engineers without reducing people to keywords.
Laidback turns one backend engineer brief into an evidence-backed search, a calibrated shortlist and research-led outreach, all reviewed by your team.
Review it on your roleTHE BRIEF KEEPS THESE FIXED
Laidback surfaces evidence for review. It does not turn a public source into an automatic legal or hiring decision.
The title is only the beginning.
Stack keywords are abundant. Evidence of ownership, systems judgment and learning speed is much rarer.
Technical evidence
The requirement stays explicit through search, scoring and review instead of disappearing into a keyword query.
System and scale context
The requirement stays explicit through search, scoring and review instead of disappearing into a keyword query.
Ownership depth
The requirement stays explicit through search, scoring and review instead of disappearing into a keyword query.
Trajectory
The requirement stays explicit through search, scoring and review instead of disappearing into a keyword query.
From backend engineer brief to a shortlist you can defend.
Your team sets the bar. Laidback does the research, asks the calibration question and brings back evidence before any outreach leaves the building.
#engineering-search
Hiring team
We need a backend engineer. Technical evidence, System and scale context.
Laidback
I will keep those fixed, expand the surrounding intent and show the evidence behind every match. Should I prioritise trajectory when two candidates meet the same bar?
Hiring team
Yes. Keep outreach for review.
MATCH 01
Evidence-backed profile
Repositories and contributions
Source attached for human review
Technical writing
Source attached for human review
Products shipped
Source attached for human review
Scope progression
Source attached for human review
Different data finds different people.
For software engineers, Laidback reads the work and context around a profile, not just the words someone typed into it.
One brief becomes a search map
Titles, synonyms, adjacent paths, locations and proof sources run in parallel. The hard criteria stay fixed.
The whole top of funnel, with a human at the decision points.
Laidback is not another search box. It works alongside your team in Slack, moving the research and follow-through while people keep the judgment.
Calibrate the whole brief
Change seniority, market or scope and Laidback re-derives the complete intent.
Search beyond one database
Open-web evidence exposes work, trajectory and skills that title filters miss.
Score the same way every time
Deterministic reasoning makes the shortlist reproducible and inspectable.
Draft from real research
Candidate messages reference actual work rather than token personalisation.
Keep people in control
Your team approves candidate-facing messages and owns every hiring decision.
Keep the pipeline moving
Follow-ups, booked calls and reports return to the thread where the team works.
PUBLIC PEOPLE SEARCH BENCHMARK
97.80
overall score out of 100
Search quality measured in public.
The benchmark measures people-search relevance, coverage and utility. It supports the quality of the search engine, not a claim about hiring outcomes in a specific industry.
Inspect the methodologyQuestions about recruiting software engineers.
Can Laidback search for software engineers using hard requirements?+
Yes. Your team can mark requirements such as Technical evidence and System and scale context as non-negotiable. Laidback shows the supporting source so a human can verify it.
What does Laidback evaluate for software engineers?+
It evaluates the whole brief, including Repositories and contributions, Technical writing, Products shipped. It does not rank people from title and keyword overlap alone.
Does Laidback contact candidates automatically?+
Laidback drafts research-led messages and follow-ups. A human reviews candidate-facing outreach before it sends unless the team explicitly approves a defined workflow.
Does this replace our ATS or recruiting team?+
No. Laidback works alongside the team in Slack and writes finished work back to the systems you already use. Human judgment stays with your team.
How can we check why someone was shortlisted?+
Every recommendation includes the evidence and reasoning behind it. The same calibrated brief produces the same scoring logic, making the shortlist inspectable and reproducible.
Related hiring contexts
The same engine, calibrated to a different brief.
