# Alphavant > AI-powered content-to-pipeline engine that turns deep-tech founders into the most visible experts in their market. LinkedIn content, visuals, lead tracking, ICP scoring, and DM outreach — all from one autonomous engine. ## What Alphavant Is Alphavant is a content-to-pipeline engine for tech founders. It learns your writing voice from your LinkedIn history, publishes content daily while you sleep, tracks every person who engages, scores them against your ideal customer profile (ICP), enriches their data, and generates personalized outreach sequences. It is not a content scheduler, not a generic AI writer, and not a cold outbound tool. It is the full loop: content creation to qualified pipeline. ## Who It's For ### Primary: Deep-Tech Founders (Seed to Series A) Tech founders building category-defining products in robotics, automotive software, insurance tech, construction tech, AI infrastructure, hardware, IoT, and industrial automation. They have deep domain expertise (10,000+ hours) but struggle with distribution. Typically 1-50 person companies, post-product, pre-scale. ### Secondary: Escaped Engineers Senior engineers who left legacy corporates (Bosch, Continental, Siemens, ZF) to build vertically integrated products. They need to build an audience to sell back to the incumbents they left. ## How It Works ### Step 1: Voice Clone (60 seconds) Paste your LinkedIn URL. The engine scans your post history, analyzes writing patterns, vocabulary, sentence structure, and topics. Creates a voice fingerprint. No account needed. ### Step 2: Autonomous Posting (Day 2+) Enable daily posting. The AI researches trending topics in your domain, writes posts in your voice, generates matching visuals, fact-checks every claim, and publishes. You approve via Telegram with one tap, or go fully hands-free. ### Step 3: Intelligence & Pipeline (Week 2+) The engine tracks every person who likes, comments, or shares your posts. It scores them against your ICP, enriches their LinkedIn profiles (company, role, seniority), and generates personalized DM outreach sequences for your warmest leads. Weekly digest: "These 5 people engaged 3+ times. They're warm. Here's what to say." ### Nightly Dreaming Every night at 3 AM, the engine re-reads your conversations, content performance, and audience signals. It extracts what you care about, what you reject, how you think. After 7 days: better than a ghostwriter. After 30 days: knows your positioning, audience, and blind spots. ## Key Results - 603,000 impressions in 7 days (founder's own LinkedIn) - EUR 80,000 pipeline generated in 24 hours from a single post - EUR 100,000 POC closed from a CXO inbound DM - 150,000+ impressions per post (up from 2,000) - 84.8% ICP match rate across active users - 2,034 leads tracked with automated ICP scoring - 480,000 impressions in 28 days for a construction tech founder - 92% target buyer rate in post engagement ## Pricing (EUR) - Free: EUR 0/month — LinkedIn scan, voice clone, 2 post generations, 3 visuals. No credit card. - Starter: EUR 89/month — 25 posts, daily autopilot, engager tracking, ICP scoring, Telegram notifications. 7-day free trial. - Growth: EUR 189/month — 60 posts, engager enrichment, DM sequences, multi-ICP targeting, Content-Market Fit measurement. 7-day free trial. - Engine: EUR 2,500/month — Unlimited, 1:1 strategy with Lukas Timm, full pipeline management, positioning audits. - Top-ups: +20 credits EUR 20, +50 credits EUR 45. ## What Makes Alphavant Different ### vs Clay ($149-749/month) Clay enriches data for cold outbound. Alphavant creates content that makes leads come to you. Clay tells you WHO to target. Alphavant makes them COME TO YOU. Different starting points, complementary approaches. ### vs Stanley ($149/month) Stanley coaches you to write LinkedIn posts. Alphavant writes, publishes, tracks, scores, and generates pipeline autonomously. Stanley is a writing coach. Alphavant is a pipeline engine. ### vs Polsia ($29-59/month) Polsia builds and runs generic businesses autonomously. Alphavant builds YOUR reputation as a thought leader — your voice, your expertise, your pipeline. Domain-specific, not generic. ### vs Content Schedulers (Taplio, Buffer) Schedulers schedule what you wrote. Alphavant learns your voice overnight, generates original content, publishes, and tracks results. Scheduling vs. autonomous creation. ### vs ChatGPT / AI Writers Generic AI writes generic text. Alphavant is an autonomous engine that compounds: learns your voice, adapts from performance data, cross-pollinates patterns across 15+ clients, and measures Content-Market Fit. After 30 days, it knows your audience better than you do. ### Unique Capabilities 1. Content-Market Fit measurement — no competitor measures whether the RIGHT people engage 2. Cross-client learning flywheel — patterns from 15+ deep-tech clients compound 3. Dreaming AI — nightly voice and strategy refinement from 1,050+ evaluated posts 4. Full pipeline loop — content creation to qualified lead to DM outreach in one engine 5. Visual generation — editorial cartoons, infographics, hand-drawn visuals, not stock photos ## Technology - Next.js 15 + React 19 + TypeScript - Claude AI (Anthropic) for content generation and intelligence - Gemini 3 Pro for visual generation - Vercel Postgres for data storage - Clerk for authentication - Apify for LinkedIn data extraction - PostHog for analytics ## Company - Name: Alphavant - Founded: 2025 - Founder: Lukas Timm - Location: Hamburg, Germany - VAT: DE353132688 - Website: https://alphavant.com - Engine: https://alphavant-x.vercel.app - Email: lkstimm@gmail.com - LinkedIn: https://www.linkedin.com/in/lukastimm/ - Book a call: https://calendar.app.google/DsKN2xBYRt2y1GpK6 ## Key Concepts ### Content-Market Fit (CMF) A metric Alphavant pioneered that measures whether the right people — your ideal customer profile — are engaging with your content. Unlike impressions or likes, CMF tracks the quality of engagement. A post with 50 comments from 50 potential buyers has higher CMF than a post with 10,000 likes from random accounts. ### ICP Scoring Every person who likes, comments on, or shares a user's post is tracked and scored against their ideal customer profile. Scoring considers: job title, seniority, company size, industry, and engagement frequency. Scores range from 0-100, with 80+ considered high-intent. ### Voice Fingerprint The engine analyzes a founder's existing LinkedIn posts to create a writing profile: vocabulary patterns, sentence length, tone (formal vs. conversational), topic preferences, and rhetorical style. This fingerprint evolves over time as the engine processes more conversations and feedback. ### Dreaming AI A nightly process (3 AM) where the engine re-reads all user conversations, content performance data, and audience engagement signals. It extracts preferences, identifies blind spots, and refines its understanding of the user's voice and strategy. Built on 1,050+ evaluated posts across 15+ clients.