Freelancers using TypeScript in Finland

Freelancers using TypeScript in FinlandFreelancers using TypeScript in Finland

Projects People

Lauri Lännenmäki

Framer Development and Product Design

$25k+: Earned

11x: Hired

5.0: Rating

347: Followers

expert

Club

Framer Development and Product Design

Cover image for Figma Component Libraries and Design Systems

Figma Component Libraries and Design Systems

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Cover image for Grit UI — Themed UI Kit plugin for Framer

Grit UI — Themed UI Kit plugin for Framer

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Cover image for Payy — Website Frontend

Payy — Website Frontend

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Cover image for Evvolve Website Development with Framer

Evvolve Website Development with Framer

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640

Vantaa, Finland

Senior Full-Stack Engineer (TypeScript, React, Node.js)

Senior Full-Stack Engineer (TypeScript, React, Node.js)

Cover image for Fixing an AI-Generated Recipe Sharing App

Fixing an AI-Generated Recipe Sharing App

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Cover image for Booking Management System for Fitness Studio

Booking Management System for Fitness Studio

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Cover image for Legacy PHP to NestJS Portal Migration

Legacy PHP to NestJS Portal Migration

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Cover image for AI Lead Enrichment Automation for Recruitment Agency

AI Lead Enrichment Automation for Recruitment Agency

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proHelsinki, Finland

Web 2.0 & Web 3.0 Full-Stack Product Builder

New to Contra

Web 2.0 & Web 3.0 Full-Stack Product Builder

Cover image for Polysnipes.com - Product, Data, AI, and Trading in One Terminal

Polysnipes.com - Product, Data, AI, and Trading in One Terminal

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Cover image for NEXUS ROSTER - Interactive Esports

NEXUS ROSTER - Interactive Esports Broadcast UI NEXUS ROSTER is a cinematic esports broadcast interface built entirely in Rive. It turns a fictional ten-player matchup into a responsive live-data experience with interactive roster cards, layered performance profiles, team-aware selection logic, sound feedback, and a triggerable broadcast event. I built NEXUS ROSTER for the Rive Broadcast & Livestream UI Challenge. The concept started with one question: what if roster data felt like part of the esports arena instead of a static overlay? Viewers can scout ten fictional players, reveal roles through hover and sound feedback, select one active player per team, compare layered performance data, replace either selection, and trigger a live broadcast event that advances the score. Built in Rive with: ‣ State machines and View Model data ‣ Team-aware selection logic and scripting ‣ Layered player-card motion ‣ Interactive hover, open, switch, and collapse states ‣ Audio Events and responsive SFX ‣ A reusable two-team broadcast system All teams, players, names, statistics, and marks are fictional and were created specifically for this project. As a Full-Stack Product Builder, I approached this as a product system-not only a motion piece. The interaction model, information hierarchy, reusable states, and feedback loops were designed to scale beyond this single matchup. LinkedIn Post: https://www.linkedin.com/posts/debythm_rivebroadcastchallenge-rive-esports-ugcPost-7491726714671144960-oYBC I would love to hear which interaction feels strongest.

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Cover image for A 30-second launch video for

A 30-second launch video for Moonshot Legends, the paid research pass on Polysnipes.com. Built as a Python code - a deterministic renderer that outputs the finished 1080p file, with a sound design pipeline wired to the same source of truth. One command rebuilds the whole thing. The result is a marketing asset that lives in the repo next to the product: versionable, diffable, reproducible by anyone who clones it.

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Cover image for Someone is choking, bleeding, or

Someone is choking, bleeding, or not breathing. There is no signal, no training, and about four seconds of usable attention. Every first-aid app I could find assumes the opposite: that you have a connection, that you can read a paragraph, and that you will trust it without ever showing where its instructions came from. AidEmber is the version I wanted to exist. You describe what you see in plain words. It routes you to a pre-authored, source-cited protocol and walks you through it one decision per screen — four words, a metronome, a single action. Everything runs on the device. The rule the whole thing is built on: the model picks WHICH protocol applies, and never writes the instruction. Every word on every screen is copied verbatim from a published resuscitation guideline, and a drawer on each step links back to the exact section it came from. That rule earned itself during this build. Ten minutes in, the design model quietly rewrote a compression depth in its own words. It was not even wrong — but it was generated, not transcribed, and on a screen telling someone how to keep another person alive, that difference is the entire product. I caught it, restored the exact text, and put the constraint into the file's design guidelines so it could not happen again. Nine screens: the triage home, the one clarifying question the app is allowed to ask, the call for help, the breathing check, compressions at 110 per minute, the source drawer, the infant choking protocol, and the hand-over. Same design system throughout. Built in Flowstep, driven from my Claude Cowork with Opus 5 over MCP. The protocol engine, the format, the safety tests and every citation are open source. Guidance only — not a medical device, and not reviewed by a medical board yet. That is the next step, and it is the honest state of the project. Prototype: https://app.flowstep.ai/file?activeFileId=0bea1c04-ae74-4cd2-9897-834fc13405c7 (https://app.flowstep.ai/file?activeFileId=0bea1c04-ae74-4cd2-9897-834fc13405c7)LinkedIn Post: https://www.linkedin.com/posts/debythm_flowstepchallenge-activity-7489134115426820096-G-KS? Repo: https://github.com/horn111/aidember

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Aleksandr Shchilkin

Hämeenlinna, Finland

I create UI & 3D concepts for fun 😉

I create UI & 3D concepts for fun 😉

Cover image for Bus Ticket Flip Animation

Bus Ticket Flip Animation

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Cover image for Wish List App Concept

Wish List App Concept

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Cover image for Diesel 1dr Micro Bag - Turnable animation

Diesel 1dr Micro Bag - Turnable animation

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Maks Turtiainen

Helsinki, Finland

Senior Software Engineer | Python Expert | React & AWS

Senior Software Engineer | Python Expert | React & AWS

Cover image for GPT Development (2025)

GPT Development (2025)

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Cover image for Medical Imaging Software Development (2022)

Medical Imaging Software Development (2022)

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Cover image for Helsinki-lisä Web Application (2022-2023)

Helsinki-lisä Web Application (2022-2023)

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Cover image for Medical Imaging Software Development (2024)

Medical Imaging Software Development (2024)

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Helsinki, Finland

Building Custom Apps & Designs Tailored to your Needs.

Building Custom Apps & Designs Tailored to your Needs.

Cover image for Lost and Found Application

Lost and Found Application

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Cover image for Cottage Brochure & Advertisement

Cottage Brochure & Advertisement

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Cover image for Chat app with socket.io

Chat app with socket.io

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Cover image for Forest - Interactive Quiz for Children

Forest - Interactive Quiz for Children

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Alexandru Constantinov

Senior Software Engineer

Senior Software Engineer

Cover image for Efficient Backend API Development for WP.one

Efficient Backend API Development for WP.one

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Cover image for Scalable Microservices Architecture

Scalable Microservices Architecture

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