Amor
Finds software engineers by their GitHub commit activity, with cleaned locations and AI profile summaries. Free tier.
Free tier
Bottom line
GitHub first sourcing tool for technical recruiters that ranks engineers by what they actually commit, not what they post on LinkedIn. A free tier lets you try it, but paid prices are not published and export is built around Ashby.
Stands out for: It filters on real coding behaviour, contribution frequency, consistency, weekend activity and languages, across more than 8 million GitHub profiles, and cleans messy GitHub locations into searchable cities and countries.
Watch out for: It only covers engineers active on public GitHub, so it misses developers whose work sits in private repos. Paid pricing is not published, and the one named export format is Ashby's CSV.
Overview
Amor searches GitHub to find software engineers. It tracks more than 8 million developer profiles and 66 million repositories, including over 100,000 engineers with more than 500 contributions in the past year.
Recruiters can filter by contribution frequency, consistency, weekend activity, programming language and location. Amor cleans GitHub's free text locations so search works by city, region and country.
Each profile gets an automatic summary of the developer's interests, skills and the kinds of projects they build and star.
Teams can build and share candidate lists and add notes on profiles. Lists export in Ashby's CSV import format, enriched with emails taken from GitHub commits, LinkedIn URLs and tags.
A free tier with limited search results needs no credit card. Paid prices are not listed.
Who it's for
Best for
- Technical recruiters hiring software engineers
- Agencies placing developers who skip LinkedIn
- Teams on Ashby
Not ideal for
- Non technical hiring
- Roles where most work sits in private repos
- Buyers who need published pricing
Key features
GitHub search. More than 8 million developer profiles searchable by language, contribution frequency and consistency.
Clean locations. GitHub's free text locations cleaned so you can search by city, region and country.
Profile summaries. An automatic summary of each developer's interests, skills and projects.
Team lists and export. Shared lists and notes, exported in Ashby's CSV format with emails from commits and LinkedIn URLs.
AI features
| What the AI does | Plan |
|---|---|
| Automatic summaries of developer interests and skills | Free |
Only features named in the vendor's own documentation. Anything sold separately is marked as an add-on.
Pricing
Amor has a free tier with limited search results and no credit card required. Paid plan prices are not published on the vendor site. Confirm current terms on the vendor site.
Checked 26 Sep 2026. Vendors change prices without notice.
Is Amor expensive?
Amor does not publish a price. It is one of 52 quote-based tools among the 136 sourcing tools in our directory. 23 have a free tier, and those with a public price typically start around $99 a month.
- 52 quote-based
- 23 free tier
- 72 public price
Worked out automatically from every sourcing listing, so it updates as the directory changes.
Pros and cons
Pros
- Finds engineers who are not on LinkedIn
- Filters on actual commit behaviour
- Free tier with no card
Cons
- Paid pricing not published
- Public GitHub activity only
- Export built around Ashby
Integrations
GitHub Ashby
How Amor compares
See all Amor alternatives, with what each one does differently and a head to head for every pairing.
| Tool | Free tier | From | MCP | API | Compare |
|---|---|---|---|---|---|
| | ✓ | Free tier | – | – | |
| | – | $149/mo | ✓ | ✓ | Compare |
| | – | Free scan; contact for hiring plans | – | – | Compare |
| | – | Sales-quoted | – | – | Compare |
$149/mo MCP API
Broader talent search across GitHub, LinkedIn and more, with published pricing from $149/mo.
Free scan; contact for hiring plans
Scores a developer's GitHub code, if you want to assess known candidates rather than search for new ones.
Sales-quoted
AI sourcing of engineers from their open source code, sales quoted.
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