Talent Marketplace

Rill
View demo

Resumes are for roles. Work is for skills.

Rill connects people to work based on what they can actually do.

See Rill in Action

Founder request

Frontend
ReactTypeScriptAPI integration
ML Scientist
XgBoostPyTorchAzure
iOS Developer
SwiftUIKitMobile architecture

Shared layer

Hard skills extracted

Step 1 and step 2 infer skills from both sides before match assembly begins.

Founder high-level request → mapped hard skills
LinkedIn + GitHub signals → observed hard skills
Waiting for both sides to complete skill extraction...

Match assembly

match 90%
ML Scientist
XgBoost
PyTorch
Azure
XgBoost
Python
R
PyTorch
TensorFlow

Engineer profile

LinkedIn + GitHub reveal hard skills from real work.

LinkedIn
PythonRTensorFlow
GitHub
XgBoostPyTorch

Get early access to Rill

Launching soon.

Market Intelligence

Skills in supply. Capabilities in demand.

Interactive signals from both sides: engineer skill concentration and startup capability demand broken into underlying skills.

Engineer skill supply

Hover or tap any bubble to inspect the estimated supply depth.

Python214React186TypeScript169ML143Docker118APIs127
Python · 214 engineers with verified signal in this sample pool.

Startup capability demand

Each demand bar is a capability split into the hard skills startups ask for most.

Active capability

Frontend productization is currently one of the most requested startup outcomes, composed of React, TypeScript, API integration.

What Happens Next

Side-by-side flow after submission

Founders

Demand path
  1. 1

    Submit a high-level talent request

    Share role intent, constraints, and context.

  2. 2

    Translate demand into skills + capabilities

    Map vague asks into structured hiring signals.

  3. 3

    Score and rank candidate fit

    Prioritize overlap across skills and capability clusters.

  4. 4

    Receive a curated shortlist

    Start with high-signal matches, then expand.

Engineers

Supply path
  1. 1

    Submit background and technical links

    Provide profile, project, and code surface area.

  2. 2

    Identify hard skills from real work

    Extract concrete tools and implementation patterns.

  3. 3

    Group skills into capabilities

    Form execution-level capability clusters.

  4. 4

    Surface to relevant founders

    Rank visibility by demand alignment and signal quality.

Genproof

Above intern level; AI finetuning and RL (no advanced math required).

Quirk

CTO role: own product development and product management; startup experience preferred.

Aquin

LLM research (hosting/training), web/AWS/GCP design + development, marketing/social, and partnerships.