# Riem.ai

> Riem.ai is a developer talent sourcing platform. It helps companies find engineers who are actively building and pushing code to GitHub but aren't necessarily job-hunting. Think passive candidate discovery — matching companies to developers based on real contribution activity, not resumes.

## What Riem.ai Does

- Searches 30M+ monthly GitHub events (via GH Archive) to find engineers based on what they've actually built
- Uses natural language queries: describe the engineer you need, get ranked candidates
- Surfaces "underrated" developers — high-quality contributors with low social visibility that competitors miss
- Analyzes real signals: commit patterns, PR quality, code review behavior, contribution consistency
- Generates personalized outreach emails based on actual contribution data

## How It's Different

- **Contribution-based sourcing** vs. resume/LinkedIn screening — finds engineers based on shipped code, not self-reported skills
- **10-15x cheaper** than sourcing tools like LinkedIn Recruiter ($1,000/seat/mo), 100x cheaper than agency recruiters ($35K/placement) — plans from $49-$399/mo
- **Discovers passive candidates** — engineers who are building, not job-hunting
- **"Underrated" scoring** — high contribution quality + low visibility = engineers nobody else is finding

## Blog

- [The ROI of GitHub Sourcing: What It Actually Costs to Hire Through Open Source Contributions](https://riem.ai/blog/roi-github-sourcing-open-source-hiring): GitHub sourcing costs $49-399/mo and gets 3-4x higher response rates than LinkedIn InMail. Here's the full cost breakdown, pipeline math, and business case for contribution-based hiring.
- [How to Spot Fake GitHub Activity: 8 Red Flags Every Recruiter Should Know](https://riem.ai/blog/github-red-flags-fake-contributions): GitHub contributions can be gamed. Learn the 8 red flags that reveal fake activity, from automated commits to star farming, so you only reach out to real engineers.
- [7 places to find engineers that aren't LinkedIn](https://riem.ai/blog/source-engineers-without-linkedin): You already know about GitHub. Here are 7 other sourcing channels for engineers that most recruiters have never tried, from conference speaker lists to Hacker News threads to niche Discord servers.
- [How do you source AI and machine learning engineers in 2026?](https://riem.ai/blog/how-do-you-source-ai-and-machine-learning-engineers-in-2026): AI engineer roles now have a 3.2:1 demand-to-supply ratio globally. Here's where ML engineers actually spend their time, what contribution signals to look for, and how to reach them.
- [What should you pay a Go developer in 2026?](https://riem.ai/blog/go-developer-salaries-2026): Go developers command some of the highest salaries in backend engineering. Here's what the compensation data actually shows, by experience, specialization, and company stage, so you can make competitive offers and set honest expectations.
- [How to find Rust developers in 2026: A sourcing guide](https://riem.ai/blog/how-to-find-rust-developers): How to find and hire Rust developers using GitHub contribution data. The ownership model, crates.io ecosystem, Tokio and systems programming projects, and sourcing strategies for Rust engineers.
- [How to find Scala developers in 2026: A sourcing guide](https://riem.ai/blog/how-to-find-scala-developers): How to find and hire Scala developers using GitHub contribution data. The JVM functional programming ecosystem, Spark and Akka projects, fintech demand, and sourcing strategies for Scala engineers.
- [How to hire COBOL developers in 2026: A sourcing guide](https://riem.ai/blog/how-to-hire-cobol-developers): How to find and hire COBOL developers in 2026. The mainframe talent crisis, JCL and CICS expertise, modernization skills, and sourcing strategies for COBOL programmers.
- [How to find Haskell developers in 2026: A sourcing guide](https://riem.ai/blog/how-to-find-haskell-developers): How to find and hire Haskell developers using GitHub contribution data. The functional programming ecosystem, GHC compiler, Hackage packages, finance and formal verification, and sourcing strategies for Haskell engineers.
- [How to hire OCaml developers in 2026: A sourcing guide](https://riem.ai/blog/how-to-hire-ocaml-developers): How to hire OCaml developers using GitHub contribution data. The ML module system, Jane Street's ecosystem, opam packages, and sourcing strategies for the smallest talent pool in production software.
- [How to find Clojure developers in 2026: A sourcing guide](https://riem.ai/blog/how-to-find-clojure-developers): How to find and hire Clojure developers using GitHub contribution data. The Lisp ecosystem, Nubank's infrastructure, Clojars packages, and sourcing strategies for Clojure engineers.
- [How to find Zig developers in 2026: A sourcing guide](https://riem.ai/blog/how-to-find-zig-developers): How to find and hire Zig developers using GitHub contribution data. The emerging systems language behind Bun and TigerBeetle, comptime patterns, and sourcing strategies for Zig engineers.
- [How to hire Solidity developers in 2026: A sourcing guide](https://riem.ai/blog/how-to-hire-solidity-developers): How to hire Solidity and smart contract developers using GitHub contribution data. DeFi security patterns, audit experience signals, OpenZeppelin and Foundry projects, and sourcing strategies for blockchain engineers.
- [How to find Kotlin developers in 2026: A sourcing guide](https://riem.ai/blog/how-to-find-kotlin-developers): How to find and hire Kotlin backend developers using GitHub contribution data. Server-side Kotlin with Ktor and Spring, coroutine patterns, and sourcing strategies for Kotlin engineers beyond Android.
- [How to find Erlang developers in 2026: A sourcing guide](https://riem.ai/blog/how-to-find-erlang-developers): How to find and hire Erlang developers using GitHub contribution data. The BEAM runtime, OTP patterns, WhatsApp and telecom infrastructure, and sourcing strategies for Erlang engineers.
- [How to hire Julia developers in 2026: A sourcing guide](https://riem.ai/blog/how-to-hire-julia-developers): How to hire Julia developers using GitHub contribution data. Scientific computing, the SciML ecosystem, pharmaceutical modeling, and sourcing strategies for Julia engineers.
- [How to hire VHDL and Verilog engineers in 2026: A sourcing guide](https://riem.ai/blog/how-to-hire-hardware-description-language-engineers): How to hire VHDL and Verilog engineers using GitHub contribution data. FPGA and ASIC design, the AI chip boom, RISC-V open hardware, and sourcing strategies for hardware description language engineers.
- [How to hire Fortran developers in 2026: A sourcing guide](https://riem.ai/blog/how-to-hire-fortran-developers): How to hire Fortran developers using GitHub contribution data. HPC and supercomputing, national laboratory codes, modern Fortran standards, and sourcing strategies for Fortran engineers.
- [How to hire CUDA and GPU programming engineers in 2026: A sourcing guide](https://riem.ai/blog/how-to-hire-cuda-gpu-engineers): How to hire CUDA and GPU programming engineers using GitHub contribution data. Kernel optimization, the AI infrastructure bottleneck, NVIDIA ecosystem, and sourcing strategies for GPU engineers.
- [How to find ML systems engineers in 2026: C++, Rust, and inference infrastructure](https://riem.ai/blog/how-to-find-ml-systems-engineers): How to find ML systems engineers using GitHub contribution data. C++ and Rust for AI inference, llama.cpp, PyTorch internals, model quantization, and sourcing strategies for ML infrastructure engineers.
- [How to hire JAX and distributed training engineers in 2026: A sourcing guide](https://riem.ai/blog/how-to-hire-jax-distributed-training-engineers): How to hire JAX and distributed training engineers using GitHub contribution data. Functional ML at Anthropic and DeepMind, Megatron-LM, DeepSpeed, and sourcing strategies for large-scale AI training engineers.
- [How to hire Triton and ML compiler engineers in 2026: A sourcing guide](https://riem.ai/blog/how-to-hire-triton-ml-compiler-engineers): How to hire Triton and ML compiler engineers using GitHub contribution data. GPU kernel programming, XLA and MLIR compilers, custom AI chip toolchains, and sourcing strategies for the scarcest skill in AI.
- [85,000 tech workers were laid off in Q1 2026. Where did they go?](https://riem.ai/blog/where-did-laid-off-tech-workers-go-2026): 85,156 tech workers lost their jobs at 208 companies in Q1 2026, during record corporate profits and massive AI investment. Here's where the displaced talent went and what it means for your hiring pipeline.
- [Should you hire a contract engineer or a full-time developer in 2026?](https://riem.ai/blog/contract-engineer-vs-full-time-developer): 61% of companies plan to grow headcount in 2026, but contract engineering is rising fast. Here's a decision framework with real cost math for choosing between contract and full-time developer hires.
- [What does the tech hiring market actually look like in 2026?](https://riem.ai/blog/tech-hiring-market-outlook-2026): The 2026 tech hiring market is growing at 1.9% with 9.8 million workers, but 65% of hiring managers say finding skilled talent is harder than last year. Here's what the data says and what it means for technical recruiters.
- [How to find Elixir developers in 2026](https://riem.ai/blog/how-to-find-elixir-developers): How to find and hire Elixir developers using GitHub contribution data. The BEAM ecosystem, OTP patterns, Phoenix and LiveView projects, and sourcing strategies for Elixir engineers.
- [How do you source passive software engineers who aren't on LinkedIn?](https://riem.ai/blog/how-to-source-passive-software-engineers): Most software engineers aren't actively job hunting — and the best ones rarely are. Here's how to find and reach passive developer candidates using GitHub, Stack Overflow, and community platforms.
- [What are the best tools for sourcing software engineers in 2026?](https://riem.ai/blog/best-developer-sourcing-tools): An honest comparison of the best developer sourcing tools in 2026 — LinkedIn Recruiter, SeekOut, hireEZ, Gem, GitHub search, and riem.ai. Pricing, strengths, and what each actually finds.
- [Riem.ai vs LinkedIn Recruiter: What's actually different about contribution-based sourcing?](https://riem.ai/blog/riem-ai-vs-linkedin-recruiter): LinkedIn Recruiter costs $1,000/seat/month and searches resumes. Riem.ai costs $49/month and searches code. Here's what each actually finds, misses, and costs per hire.
- [How to use GitHub for recruiting: A complete guide for technical sourcers](https://riem.ai/blog/github-recruiting-guide): A step-by-step guide to using GitHub for technical recruiting. Learn how to search for developers, read contribution signals, and source engineers based on real code.
- [How much does it cost to hire a software engineer in 2026?](https://riem.ai/blog/cost-per-hire-software-engineer): The real cost to hire a software engineer in 2026: $35,000+ per agency placement, $23,000 average cost-per-hire, or $65 with contribution-based sourcing. Full breakdown with ROI math.
- [How to source passive software engineers who aren't on LinkedIn](https://riem.ai/blog/source-passive-software-engineers): 70% of software engineers are passive candidates. Most never update LinkedIn. Here's how to find them through GitHub contributions, open source activity, and behavioral signals.
- [How to find React developers in 2026](https://riem.ai/blog/how-to-find-react-developers): How to find and hire React developers using GitHub contribution data. Where React engineers contribute, what quality signals look like, and how to source beyond LinkedIn.
- [How to find Python developers in 2026](https://riem.ai/blog/how-to-find-python-developers): How to find and hire Python developers using GitHub contribution data. Where Python engineers contribute, what signals matter, and how to source beyond job boards.
- [How to find TypeScript and Node.js developers in 2026](https://riem.ai/blog/how-to-find-typescript-nodejs-developers): How to find and hire TypeScript and Node.js developers using GitHub data. Key repos, contribution signals, and sourcing strategies.
- [How to find Java developers in 2026](https://riem.ai/blog/how-to-find-java-developers): How to find and hire Java developers using GitHub contribution data. Enterprise vs. open source signals and sourcing strategies.
- [How to find Go developers in 2026](https://riem.ai/blog/how-to-find-go-developers): How to find and hire Go developers using GitHub contribution data. The CNCF ecosystem, infrastructure signals, and Golang sourcing strategies.
- [How to find Go performance engineers in 2026](https://riem.ai/blog/how-to-find-go-performance-engineers): How to source Go engineers who specialize in runtime internals, GC tuning, and concurrency architecture. GitHub signals, key repos, and quality indicators for elite Golang performance talent.
- [How is AI actually changing what companies need to hire for in software engineering?](https://riem.ai/blog/ai-changing-engineering-hiring): AI coding tools are changing what companies hire for in engineering. Learn which skills matter now, how to evaluate AI fluency, and how to source the engineers who thrive in 2026.
- [What does your company's return-to-office policy actually do to your engineering talent pool?](https://riem.ai/blog/rto-engineering-talent-pool): RTO mandates cut your engineering talent pool by 40-60% and add 12 days to time-to-fill. Here's what the 2025-2026 data shows and how to adapt your sourcing strategy.
- [How do you tell if a developer is actually senior from their GitHub profile?](https://riem.ai/blog/github-seniority-signals): Learn 6 GitHub signals that actually indicate developer seniority — from PR description quality to deletion commits — so you can assess experience level without relying on resumes.
- [How do you source engineers who work in Rust, Go, Elixir, or other niche stacks?](https://riem.ai/blog/source-engineers-rust-go-elixir-niche-stacks): How to source and hire engineers who specialize in Rust, Go, Elixir, and other niche tech stacks using GitHub data and open source contribution signals.
- [How do you write a recruiting email that a developer will actually respond to?](https://riem.ai/blog/recruiting-email-developers-respond): Most recruiting emails to developers get ignored. Learn how to write personalized outreach that references real code, projects, and contributions to get responses.
- [The developers everyone wants to hire are the hardest to find](https://riem.ai/blog/developers-everyone-wants-to-hire): High-skill, low-visibility engineers — why the best candidates are invisible to traditional sourcing, and how contribution-pattern analysis finds them.
- [What a developer's commit history actually tells you](https://riem.ai/blog/what-commit-history-tells-you): Stars and follower counts are noise. Here's how to read a GitHub profile for the signals that actually predict engineering quality.
- [The 2026 Tech Hiring Paradox](https://riem.ai/blog/2026-tech-hiring-paradox): Analysis of the contradictory 2026 tech job market — 55,000+ layoffs alongside 11% growth in software engineer postings — and how contribution-based sourcing addresses it.
- [Software Engineer Hiring Is Back. The Old Playbook Isn't.](https://riem.ai/blog/software-engineer-hiring-is-back): Why the 11% rebound in engineer postings masks a harder market — resumes are unreliable, GitHub signals are underused, and the candidates worth hiring aren't looking.
- [Tech Hiring Is Bifurcated](https://riem.ai/blog/bifurcated-market): The market for generic engineers is soft while the market for engineers with real architectural judgment is tighter than ever. How to source from the right half.

## Comparisons

- [Riem.ai vs LinkedIn Recruiter](https://riem.ai/vs/linkedin-recruiter): Side-by-side comparison — resume search vs GitHub contribution sourcing. Pricing, features, and when to use which.
- [Riem.ai vs SeekOut](https://riem.ai/vs/seekout): Talent intelligence platform vs contribution-focused sourcing. Enterprise breadth vs engineering depth.
- [Riem.ai vs hireEZ](https://riem.ai/vs/hireez): AI-enhanced boolean search vs contribution-based sourcing. Multi-channel outreach vs technical signal depth.
- [Riem.ai vs Gem](https://riem.ai/vs/gem): Recruiting CRM vs developer sourcing tool. Complementary tools — Gem for pipeline management, Riem.ai for engineering discovery.

## Pricing

- Starter: $49/mo — 10 roles/month, 10 candidates per role, unlimited outreach emails
- Pro: $149/mo — 50 roles/month, 50 candidates per role, unlimited outreach emails
- Scale: $399/mo — 150 roles/month, 100 candidates per role, unlimited outreach emails
- Enterprise: Custom pricing — unlimited searches, dedicated support
- Cached repeat searches within 7 days are free.
- Full pricing details: https://riem.ai/pricing

## Tools

- [Recruiting Cost Calculator](https://riem.ai/tools/recruiting-cost-calculator): Free calculator comparing the cost of hiring software engineers through agency recruiters, LinkedIn Recruiter, in-house sourcing, and Riem.ai. Interactive sliders, real-time comparison, shareable results.
- [Recruiting Email Generator](https://riem.ai/tools/recruiting-email-generator): Free tool to generate personalized recruiting outreach emails for software engineers. Choose tone, describe the role and candidate, get a ready-to-send email. AI-powered email generation using GitHub profile context.
- [GitHub Profile Analyzer](https://riem.ai/tools/github-profile-analyzer): Free tool to analyze any GitHub developer profile. Shows language breakdown, top repositories, activity score, and contribution patterns. Optional deeper analysis with a personal access token.

## Links

- Website: https://riem.ai
- Features: https://riem.ai/features
- Pricing: https://riem.ai/pricing
- About: https://riem.ai/about
- Blog: https://riem.ai/blog/
- Cost Calculator: https://riem.ai/tools/recruiting-cost-calculator
- Email Generator: https://riem.ai/tools/recruiting-email-generator
- GitHub Analyzer: https://riem.ai/tools/github-profile-analyzer