151K Users.
15M Views.
Zero Paid Ads.
Solvearn had a platform with real value and zero distribution. We built the AI infrastructure and the GTM engine that scaled them to 151K users, a €600K valuation, and one of the fastest-growing startup networks in Finland — entirely organically.
€600K Valuation · Finland's Fastest-Growing Startup
After the build, Solvearn attracted investment at a €600K valuation — one of the fastest platform-to-valuation timelines in the Finnish startup ecosystem. The investor is personally connected to Pavel Durov, founder of Telegram, with over 900 million monthly active users. All achieved on 151K users with zero paid advertising.
A Platform with Real Value. Zero Distribution.
Solvearn is a Finnish networking platform built for founders and early-stage startup teams. Founded by Jami Tanskanen, the platform connects startups with the right people — peers, mentors, potential co-founders, and investors — using an AI matching engine that improves as profile quality grows.
They had product-market fit signals and a clear thesis. What they didn't have was reach, engineering capacity, or a system that could move fast enough to capture the growth window in front of them.
Deep Loom came in as the founding AI and engineering partner. The mandate was twofold: build the AI infrastructure powering the product, and build the content and distribution systems that fill it with users. Two completely different disciplines — shipped in parallel, running concurrently from day one.
No content system — manual research and scripting couldn't scale
No AI infrastructure — matching engine had no data or compute layer
High sign-up drop-off rate killing the growth Jami was driving
Zero monetisation features — platform had no paid revenue stream
Growth window was closing — a competitor could move first
How You Reach 15M Views With Zero Ad Spend
The GTM strategy was a system of compounding loops. Content research feeds scripting. Scripting feeds distribution. Distribution drives sign-ups. Sign-ups feed the matching engine. Better matches drive retention. Retention generates social proof. Social proof drives more reach.
Each loop made the next more powerful — and it ran automatically, every single day. No paid budget at any stage. Every view, every follower, every registered user — fully organic.
Jami Tanskanen and Daniel Matias during a build sprint in Finland — the platform on the laptop was already live and serving real users
Two Systems. Running in Parallel.
Most agencies build one thing and call it done. We built two complete systems simultaneously: the AI platform that powers the product, and the GTM engine that fills it with users. Neither could wait for the other.
The AI Platform Infrastructure covers the full-stack product built on AWS — React.js frontend, Node.js and FastAPI backend, MongoDB for profile data. The core AI layer: multi-dimensional vector search, voice AI onboarding, and a revenue-generating landing page pipeline.
The Automated GTM Content System is a fully automated content research, scripting, and distribution pipeline — identifying what was going viral on Instagram and TikTok, extracting structural patterns, generating ready-to-record scripts, and distributing at volume no human team could sustain.
6-dimension embedding, LLM query classifier parsing natural language to structured JSON at 95% accuracy, sub-200ms response at 151K user scale.
Conversational sign-up agent (ElevenLabs + LangChain + OpenAI), A/B tested dialogue flows — +30% profile completion at the critical activation step.
First revenue feature, shipped in under 3 weeks: Firecrawl scraper, brand voice agent, 35+ component rendering engine. Zero to revenue in 3 weeks.
92% correlation with human expert ratings, 3 optimisation cycles improving output accuracy by 15% post-launch with no feature rebuilds.
Continuously scraped and ranked top-performing short-form content, extracting hook structures, format patterns, and engagement triggers automatically — daily loop.
LLM-powered scripting from extracted viral patterns, tailored to Solvearn's founder audience and brand tone — ready to record with zero manual editing.
Instagram Reels and TikTok in parallel, A/B tested posting cadence per platform for maximum compounding reach from a single content system.
Coordinated macro and micro creators worldwide with 5M+ combined followers to generate authentic UGC at scale — extending organic reach far beyond Finland.
151K Users. €600K Valuation. Zero Paid Ads.
Solvearn scaled from near-zero to 151K users in under 6 months — not from a single lever, but from a system of compounding loops running concurrently from day one. The voice AI onboarding agent was the single biggest retention unlock: a 30% increase in profile completion. For a matching platform, profile quality is everything — richer profiles mean better matches, better matches drive retention, retention generates social proof.
The content engine produced the distribution. By automating research, pattern extraction, and scripting, Solvearn posted at a volume no human team could sustain — generating 100K+ followers and 15M+ views with zero ad spend. The AI landing page generator became the company's first paid feature, turning an internal tool into direct revenue in three weeks.
The result: €600K valuation from an investor personally connected to Pavel Durov, founder of Telegram. One of Finland's fastest platform-to-valuation timelines. Every metric built organically. No shortcuts.
AI project matching feed — live at 151K+ users
Instagram — 100K+ followers, 15M+ views, zero paid ads