Introducing Search by Profile: Candidate Lookalikes Directly From a LinkedIn URL

Most recruiting teams already know what “good” looks like — but almost no sourcing tool lets you start from it.

You see a strong candidate on LinkedIn. Maybe it’s someone you spoke to last quarter, someone from a competitor, or someone who just feels like the right profile for the role. But turning that person into a usable search query is tedious:

• translate the background into filters

• guess which skills matter most

• tweak keywords until the tool stops giving junk

• hope the ranking logic understands what you meant

This is why most AI sourcing tools still produce noisy, unfocused results. The bottleneck isn’t the AI — it’s the query.

Wrangle’s new Search by Profile feature removes that bottleneck entirely.

Paste any LinkedIn URL into the search bar, and Wrangle uses that real person as the search specification. It automatically identifies the candidate’s seniority, skills, domain experience, and role patterns, then finds high-signal matches across Wrangle’s entire 50M+ candidate graph.

No Boolean. No filters. No prompt engineering.

Just: here’s someone great — find me more like them.

Why We Built Search by Profile

AI recruiting tools still fail on the most basic sourcing task: understanding examples.

When recruiters give feedback like “more senior,” “more product-facing,” or “more ML depth,” they’re usually thinking of a real person. Filters can’t capture that nuance. Keyword systems break instantly. And manually replicating patterns across resumes is slow and error-prone.

Search by Profile solves this by letting users anchor the entire search to a concrete example — something humans do naturally, but tools have never supported well.

This directly targets the largest sources of waste in sourcing:

• poorly calibrated initial searches

• over-broad results requiring heavy filtering

• misalignment between hiring managers and sourcers

• inconsistent pipelines from query drift

By grounding search in an actual human profile, you keep the intent precise from the start.

How It Works

Just drop a LinkedIn URL into Wrangle’s search bar.

Wrangle analyzes:

• seniority trajectory

• career path + company-stage history

• core and adjacent skills

• industry/domain patterns

• role archetype (infra-heavy? product-facing? ML-focused?)

• breadth vs depth

• technical or functional specialization

Then it transforms that profile into a structured, domain-aware search that finds lookalikes across Wrangle’s index.

Not keyword matching — actual candidate modeling

This isn’t “find people with the same job title.”

The system uses a hybrid of vector search, metadata alignment, and Wrangle’s ranking logic to surface candidates who match the shape of the example profile.

The output is a set of candidates who are:

• similarly senior

• similarly experienced

• similarly shaped by similar environments

• actually aligned with the “feel” of the original example

This is the kind of calibration hiring managers notice immediately.

Ideal Use Cases

Search by Profile is particularly strong for:

• finding lookalikes for a top candidate (“find 30 more like this one”)

• calibrating a new search when the role definition is fuzzy

• rebuilding pipelines around a previous great hire

• expanding collections without retyping filters

• interpreting vague stakeholder feedback (“someone like that ex-Stripe PM”)

• correcting bad initial queries when filters are giving mixed results

It’s also one of the fastest ways to align recruiters, founders, and hiring managers around the same target profile without debate over keywords.

Integrated Into Your Existing Workflow

Search by Profile works anywhere you search inside Wrangle:

• directly in the search bar

• inside collections

• as a way to expand existing candidate lists

• and soon — inside Slack search threads

It’s not a standalone mode. It’s an additional entry point to Wrangle’s sourcing engine.

You can still layer refinements like:

• “More senior”

• “More product-focused”

• “Less ML-heavy”

• “More IC, less management”

The example candidate just gives the system a structured baseline.

Why This Matters for Teams Moving Fast

Modern AI recruiting platforms talk about intelligence, but most of them still rely on rigid filters and brittle keyword systems under the hood.

Search by Profile is a structural improvement:

• higher precision with less effort

• faster sourcing cycles

• cleaner pipelines

• less back-and-forth with hiring managers

• consistent candidate quality

Ultimately, it gives teams better inputs — and better inputs generate dramatically better hires.

Now Live

Search by Profile is available today.

Paste any LinkedIn URL into Wrangle to instantly generate a calibrated lookalike search — grounded in real data, not guesswork.

Start using it at https://wrangle.ai.