Find tech stars in professional communities. Evaluate profiles with coding activity and social metrics. Engage candidates, knowing personal interests and connection points 👨🚀
snowbeard
Helm charts from kustomized YAML files
devscanr profile
Lee Payne Hireable
Professional communities 🤓 are great talent pools. They contain unique and objective information that perfectly complements subjective and biased resumes. Bad news is that such resources are not designed nor convenient for recruiters. See how DevScanr changes that (2-min video):
Sneak-peek internal pages.
Tech stars don’t babysit their resumes 👶. They are busy coding on GitHub, helping colleagues on StackOverflow, sharing knowledge on Medium. You’d really want to search for candidates right there, but only a tiny fraction devops location:California type:users
(200 out of 40K) is easily accessible.
There’re more pitfalls like empty bios, missing titles, unclear seniorities, overwhelming terminology. DevScanr fixes all that, making skill-first sourcing easy as 🍰. It allows you to efficiently source, screen, and engage qualified candidates. For a fraction of a cost you’d pay on the resume platforms.
Grover Olson
Liliya Mckee
Saoirse Dotson
Kylie Foster
Elena Ryan
Lee Payne
In practice, the majority of professional user accounts are unsearchable for various reasons. Missing locations, empty descriptions, fancy icons ☁️, abbreviations, aliases... DevScanr takes care of that, streamlining the whole process:
site:github.com AND ("Serbia" OR "Republika Srbija") AND ("Frontend Developer" OR "FE" OR "Frontend Engineer") AND ("react" AND "typescript" AND "tailwind")
DevScanr provides geolocation-aware and term-aware search. It understands what you mean. Search results are widened or narrowed, as you would expect. Autocomplete just workstm and search boxes properly support copy-paste.
JS
, ES
, ES6
, JavaScript
, EcmaScript
are synonyms. It remembers relations between C
, Python
, Cython
, and CPython
so you don’t have to. Save the effort of trying to learn all the buzzwords and focus on hiring instead.kylie
Automation of Form Testing
Kylie Foster Hireable
DevScanr aggregates and structures scattered user accounts across the Internet. It mines and highlights the important data. No need to surf through repositories, gists, forks, stars, posts, followers, commits to extract talent’ competences and interests.
snowbeard
devops Hireable
Engineering areas evolve and overlap, so it’s often hard to distinguish between a Backend and a Frontend developer. It’s even harder to estimate one’s competence. DevScanr is equipped with algorithms and AI to fill missing pieces and infer labels for you.
Liliya Mckee
Are you interested in Rubik’s cubes? We develop a new world-wide gaming platform for puzzle enthusiasts.
11:12 AM
I'm interested. Let's talk!
11:20 AM
The Talent Market is competitive. DevScanr shares even more unique, data-driven insights to help your recruitment and engagement. Talent interests, strengths and weaknesses, social connections,... so many helpful hints are there, waiting to be uncovered.
Top-10%
. Seeking a “promising junior”? Go for the Above-Average
.GitHub, StackOverflow, Medium... are not sourcing platforms. Even if you manage to find the desired amount of prospects, next challenge is to export and organize the data. DevScanr, conversely, is made with the sourcing flow in mind!
Experiment with different filter combinations and store them in a project for when you need them.
Take notes on the candidate profiles, evaluate them, and add the best matches to the project.
When you are ready to engage prospects, export the talent list and import it in a preferred ATS.
Can’t find the answer you’re looking for?
Reach out to our customer support.
DevScanr is a skills-first search & analytics platform. The main UI focus falls on skills but we collect resume links – including, but not limited to LinkedIn – so you can filter by contacts and check resumes. We believe that the platform can replace paid LinkedIn functionality (search) for many recruiters. LinkedIn resume pages are free to view, so there’s no reason to not use them. To reiterate, the project can be used with a free LinkedIn account and, with a generous free tier, can fully replace GitHub search.
Recruiting platforms are mostly expensive, all-in-one solutions with rich functionality. Besides search, they include layers of automation, messaging, integrations. The downside is a steep price, typically starting from $100 per month per seat. Some platforms, like SeekOut or AmazingHiring, are even more expensive ($400+). They provide massive databases, not limited to tech talent.
The opposite side of the spectrum is represented by numerous cheap (or free) browser extensions, tools for creating boolean queries, etc. “one-trick pony” tools. They often lack support and functionality.
DevScanr aims to be a middle ground between both extremes . It’s exclusively a sourcing tool, focused on tech talent, with a number of unique features. It’s designed to integrate in your pipelines seamlessly. And we want to keep the service affordable for all recruiters.
No credits. Mainstream platforms earn money via limits on key actions. For example, LinkedIn Recruiter allows “30 messages” and “20 searches” for $180 per seat, per month. It’s intented for your credits to exhaust fast ;) DevScanr applies only a Fair Use policy (yet informal) for our clients and partners. No artificial rules to make you overpay!
Think of GitHub as a social network for IT people. While some other competitive platforms, like GitLab, handle a lot of commercial traffic, GitHub stays the go-to platform for the open source. The majority of important libraries, across many ecosystems, are maintained there. Which creates a synergetic effect.
There’re major benefits of sourcing on such platforms. You catch people you’d never notice or reach elsewhere. It might be a talented student who collected 1K followers before even publishing a resume. Or a seasoned developer tired of automated job messages. There might be people who prefer to self-host their resumes. Or people who have LinkedIn blocked in their countries. So many categories...
Another value of GitHub are social proofs that can be extremely helpful. DevScanr calculates a GitHub community rank (using an algorithm similar to what Google/Yandex use to evalute web pages). The rank is derived from a number of followers but it’s much more involved than a simple count. To simplify, a person followed by Linus Torwalds alone would rank much higher than someone followed by an army of bots. Unfortunately, he does not follow anyone.
The same network of follower/following links can be used to find social connections and to seek recommendations. Cold contacts become warm if you simply refer to the right people. Or hot – if you are referred by them. It is possible to increase your response rate by orders of magnitude... but it’s always easier to keep doing what you are used to – so we don’t insist.