LimiSearch · a managed service on LimiLake
Describe the assignment.Find the right people.
Describe the assignment in your own words. LimiSearch searches your consultants and candidates, and LinkedIn if you like. You get a shortlist with scores, reasoning and a link to each profile. We build and run the service, you use it.
- 1You describe the assignment in your own words
- 2We search your consultants and candidates, and LinkedIn if you like
- 3You get a shortlist with reasoning
We need a frontend developer with three to five years of experience to cover parental leave in a design system team. Requirements: JavaScript/TypeScript, React, web components, preferably Lit, plus accessibility, CI/CD and component documentation. Desirable: WCAG/ARIA, focus behaviour, component APIs, Storybook, UI testing, design tokens and npm packaging. Close collaboration with designers and UX writers is essential. Who fits best, and which requirements lack supporting evidence?
We need a frontend developer with three to five years of experience to cover parental leave in a design system team. Requirements: JavaScript/TypeScript, React, web components, preferably Lit, plus accessibility, CI/CD and component documentation. Desirable: WCAG/ARIA, focus behaviour, component APIs, Storybook, UI testing, design tokens and npm packaging. Close collaboration with designers and UX writers is essential. Who fits best, and which requirements lack supporting evidence?
Five profiles to assess
Emma LindbergExample score 92
Senior frontend developer
Lit and component APIs
7 years · TypeScript, React, Lit, web components
- Project evidence
- Developed a Lit component library with properties, events and slots. Integrated components into React, wrote usage guides and set up component tests in CI/CD alongside the design team.
- What matches
- Strongest evidence for continuing Lit development and maintaining reusable component APIs. Documentation and collaboration with design are documented.
- What to follow up
- WCAG audits, manual screen-reader testing and Storybook are not documented. Collaboration with UX writers also needs confirmation.
CV · Teamtailor · Example profile source
Fictional CV preview for this demo. In use, a source link in the conversation opens the profile in your connected system, such as Teamtailor. No real profile is opened here.
Johan NyströmExample score 88
Senior frontend developer
Accessibility and design system quality
10 years · React, TypeScript, WCAG/ARIA, Storybook
- Project evidence
- Maintained a React design system with Storybook and design tokens. Documented component behaviour with designers and UX writers. Tested focus order, keyboard support and ARIA with NVDA and Playwright in CI/CD.
- What matches
- Strong evidence for accessibility, documentation and close design collaboration. A relevant alternative if the team can accommodate learning Lit.
- What to follow up
- Lit and web components are not documented. Verify this experience; the profile cannot be treated as a complete match.
CV · Teamtailor · Example profile source
Fictional CV preview for this demo. In use, a source link in the conversation opens the profile in your connected system, such as Teamtailor. No real profile is opened here.
Sofia BergströmExample score 84
Frontend consultant
Web components in React
6 years · TypeScript, React, web components
- Project evidence
- Integrated web components into a React application and documented events and properties. Worked on semantic HTML, keyboard navigation and automated tests in a cross-functional team.
- What matches
- Relevant experience using web components in React and helping other developers understand components.
- What to follow up
- Lit, Storybook and ownership of the component library are not documented. WCAG audits and collaboration with UX writers need verification.
CV · Teamtailor · Example profile source
Fictional CV preview for this demo. In use, a source link in the conversation opens the profile in your connected system, such as Teamtailor. No real profile is opened here.
Erik LundqvistExample score 78
Technical lead / full-stack developer
Lit, packaging and versioning
11 years · TypeScript, Lit, monorepo, npm
- Project evidence
- Built internal Lit components in a monorepo and published versioned npm packages through CI/CD. Documented APIs and supported several development teams.
- What matches
- Evidence for Lit, component APIs and library packaging. Relevant when the team needs to improve its technical workflow.
- What to follow up
- Previous assignments focused on broad full-stack and lead roles. Accessibility work, design collaboration and interest in a focused component role need follow-up.
CV · Teamtailor · Example profile source
Fictional CV preview for this demo. In use, a source link in the conversation opens the profile in your connected system, such as Teamtailor. No real profile is opened here.
Linnea SjöbergExample score 73
Frontend developer
Documentation and design collaboration
4 years · React, TypeScript, Storybook, design tokens
- Project evidence
- Contributed React components, Storybook examples and theming to a design system. Worked closely with a designer and UX writer on labels, error messages and usage guidelines.
- What matches
- Relevant to component documentation, design tokens and collaboration between design and development.
- What to follow up
- Web components, Lit, npm packaging and independent accessibility ownership are not documented.
CV · Teamtailor · Example profile source
Fictional CV preview for this demo. In use, a source link in the conversation opens the profile in your connected system, such as Teamtailor. No real profile is opened here.
LimiSearch at a glance
Your consultants and candidates
We search them for every assignment. LinkedIn is optional and shown separately.
Score and reasoning
For each of your own consultants and candidates, with a link to the profile.
We run it
Integrations, monitoring and updates are included.
Runs in Sweden
On our own hardware and our own GPU servers.
A managed service on LimiLake
We bring profiles and CVs from your systems into LimiLake, our data platform. Parsing, search and AI assessment run there, and the shortlist reaches you in the channels you choose. We can build more services for you on the same platform later.
Teamtailor, CRM and Brainville are examples. We decide together with you which three systems to connect. Logos and trademarks belong to their respective owners.
From assignment to shortlist
Your profiles and CVs are ingested and parsed in advance. When you describe an assignment, LimiSearch searches, assesses the candidates and sends a shortlist.
Continuously, in the background
1Ingestion
Profiles and CVs are pulled from your systems into LimiLake. New and changed profiles are picked up continuously, keeping the data current.
Continuously, in the background
2Parsing
AI reads every CV, scanned ones included, and extracts skills, seniority, location and years of experience.
For each assignment
3Search
We search on both meaning and keywords across your consultants and candidates, and LinkedIn if you like. Related experience counts, not just exact words.
For each assignment
4AI assessment
Language models on our own GPU servers give your consultants and candidates a score and reasoning.
For each assignment
5Shortlist
Your consultants and candidates, and profiles from LinkedIn, kept separate and linked to each profile.
Where you already work
The shortlist comes to where you already are. Pick one channel or several.
Email
The shortlist lands in your inbox.
Dashboard
All searches and shortlists in one place.
AI assistant via MCP
Describe the assignment in Claude, ChatGPT or Microsoft Copilot and get the shortlist there.
MCP is an open standard for connecting AI assistants to other services. You connect with your own login. It also works with your own AI agents.
If the shortlist is sent to an external service, such as email or an AI assistant, that service's terms apply to the content. We record the channels you use in the data processing agreement.
Operations and security
Runs in Sweden
Ingestion, OCR, search and AI assessment run on our own hardware in Liminity's Swedish data centre.
No external AI for CVs
CV text is never sent to an external AI service.
DPA included
A data processing agreement is included in the service.
Each customer's data is kept separate from other customers', and stored credentials for your systems are encrypted with customer-specific keys.
What's included
Onboarding and integrations are included. Contact us and we'll go through your systems and assignments and send you a quote.
Three integrations
Tailored to your needs, for example Teamtailor, your CRM and Brainville. More can be added later.
LinkedIn search
Every search can also cover LinkedIn. Those profiles are shown separately.
Operations on LimiLake
We run, monitor and update the service on our own hardware in Sweden.
Unlimited searches
Search as often as you like. The shortlist arrives by email, in the dashboard or in your AI assistant.
How to get started
- 1
Review
We go through your systems and choose together which three to connect.
- 2
Integrations
We build the integrations and ingest profiles and CVs.
- 3
Delivery
We set up the channels you chose: email, dashboard or AI assistant.
- 4
Search
You describe the assignment and get the shortlist.
Want to get started or learn more?
Get in touch, and we'll start with a short review of your systems and assignments.

