Engineering · AI & Systems KTH (CS / ML / TFYS / IndEk) ID: SOLPACE-CF-TECH-AI-2026

Technical Co-founder — Fullstack, AI & Audio Algorithms

Own our multimodal recommendation engine, audio intelligence pipelines, and end-to-end fullstack platform in React, Next.js, Express, and Python.

01 · Why We Exist

1. Our Mission

Today's music and live event industries are broken into disconnected silos. Streaming giants reduce music to passive background noise while paying creators fractions of a cent. Digital music stores take up to 30% in commission. Meanwhile, ticketing monopolies charge venues and fans heavy fees without doing anything to help independent promoters fill their rooms.

Our mission with Solpace is to tear down the walls between digital listening and the physical dancefloor — so fans discover music and events that genuinely move them, artists keep what they earn, and independent clubs and organisers can thrive sustainably.

02 · User & Market Value

2. How We Do It (The Value We Create)

Instead of forcing scenes to piece together separate apps for streaming, ticketing, and marketing, we are building a unified ecosystem where data and revenue work for the culture:

For Artists & Labels

100% revenue & smarter touring

0% platform commission on digital music, vinyl, and merch, with automated multi-party revenue sharing (Smart Splits) executed instantly at checkout. We also map listener density geographically, helping artists plan tour routes and pitch directly to compatible venues and promoters.

For Venues & Organisers

Pack the room with lower risk

Data-driven booking (Yield Forecasting) that predicts ticket demand in a specific city based on local listener density and competing events. Combined with an automated ad and affiliate engine, built-in AI CRM/newsletters, and end-to-end event operations (scalper-proof rotating QR tickets, offline door scanning, live guestlists, cashless bar POS, and compliance support for private club nights).

For Fans

Authentic discovery & fair events

A recommendation engine that matches music and local events based on how tracks actually sound and feel, an interactive nightlife map (Atlas), DJ sets where fans can buy individual tracks directly from the mix, and a fair face-value ticket waitlist resale market.

03 · Stage, Stack & Ownership

3. Why Join Now & What You Will Co-Own

You are not stepping into a vague idea on a napkin. The product vision and system architecture are deeply thought out, our public site with interactive product demos and waitlist is live at solpace.org, and the core platform is under active development in a clean monorepo.

At the same time, we are at the ideal pre-launch stage where you have full technical mandate to shape the engineering culture, the models, and the core product as we gear up for KTH Innovation and SSE Business Lab.

Core Tech Stack & Playground

Web & App Layer

React, Next.js 14, and TypeScript (MapLibre GL, HLS audio/video streaming, Web Crypto).

Backend & Data

Node.js, Express, TypeScript, PostgreSQL (pgvector), Redis, and MeiliSearch.

AI, Audio & Prediction

Python and GPU pipelines for audio feature extraction, semantic audio embeddings (CLAP/OpenL3), multimodal recommendations, and predictive B2B models.

What You Will Co-Own

Core Platform Engineering

Building and connecting end-to-end flows in React, Next.js, and Express — from ticketing, Smart Splits, and offline scanners to the audio player, Atlas map, and creator dashboards.

AI, RecSys & Audio Intelligence

Developing our Python audio pipelines, taste-vector matching, recommendation models, and predictive booking algorithms.

Architecture & Security

Making foundational technical decisions around database schemas, real-time state, cryptographic ticketing, and scalable cloud infrastructure ahead of beta launch.

04 · Candidate Profile

Who You Are

  • Studying or recently graduated from KTH (e.g., Computer Science / Datateknik, Machine Learning, Engineering Physics / Teknisk Fysik, or Industrial Engineering & Management / IndEk) — or an exceptional self-taught builder.
  • Strong in either modern fullstack web development (React, Next.js, Express/TypeScript) or Python, Machine Learning, and algorithmic modeling — and excited to work across the stack.
  • Driven by building real, user-facing features rather than isolated academic exercises.
  • Passionate about electronic music, club culture, DJing, audio engineering, or live events.
  • Looking for a true co-founder role with shared leadership and significant equity ownership.
Relevant Academic Backgrounds & Focus Areas
KTH Computer Science (Datateknik) KTH Machine Learning (ML) KTH Engineering Physics (Teknisk Fysik) KTH Industrial Engineering & Management (IndEk Data / ML)
React Next.js TypeScript Node.js Express Python Machine Learning Audio DSP PostgreSQL Redis Recommender Systems