Kapazitäts-gated + Score-driven + Liyakat-decided. IP-Shield-Fragmentierungs-Maschine Theorie→Praxis. Letzter Run: … · Scoring v1.0 · Stages:
| ID | Komponente | Status | Note |
|---|---|---|---|
| Y1 | Cache-First Dedup-Layer | LIVE | 50k+ tasks collapsed |
| Y2 | Producer Dedup-Guard | LIVE | |
| Y3 | Auto-Queue-Filler-Watcher | LIVE | |
| Y4 | OR Multi-Rotator (4 acc x 29 models) | LIVE | |
| Y5 | NVIDIA Multi-Rotator (3 acc x 30 models) | LIVE | |
| Y6 | Vertex Gemini 2.5 Flash Lite Lane | LIVE | 0.008/task, 5/Tag cap |
| Y7 | Cloudflare Workers AI Lane | PARTIAL | quota-limited daily-reset |
| Y8 | HuggingFace Inference Lane | PARTIAL | monthly-credits depleted |
| Y9 | Cost-Cap-Enforcer (3-layer defense) | LIVE | |
| Y10 | SIW (System-Improvement-Watcher) | LIVE | |
| Y11 | Plan-Tier-Drift Watcher v2 | LIVE | |
| Y12 | Output-Quality Watcher | LIVE | |
| Y13 | Closed-Loop Revenue Scorer | LIVE | |
| Y14 | Liyakat-Council Auto-Pipeline | LIVE | |
| Y15 | Truth-Check Multi-LLM | LIVE | |
| Y16 | Sales-Asset-Producer (40x18x5 = 3,600 matrix) | LIVE | |
| Y17 | Prompt-Compression Layer | LIVE | 46% token reduction |
| Y18 | Strategies + Models Inventory Dashboards | LIVE |
MVP 6 Wochen · Phase 0 Anwalt-Compliance parallel · Pilot in Istanbul · 6 Mo. gratis · Domain hacihukuk.com.tr · 1-Klick-Demo: haci_hukuk.html?autoplay=1
| ID | Konzept | Status | Notiz / Sprint |
|---|---|---|---|
| H1 | HACI Hukuk MVP Plattform (UYAP-Browser-Extension Manifest V3) | NOT_BUILT | Phase 1 · Sprint 3 · 2 W |
| H2 | Mahkeme-Lookup DB (3.000+ Gerichte) | NOT_BUILT | Phase 1 · Sprint 1-2 · 1 Tag scrape |
| H3 | AI Dilekçe-Editör + UDF-Konverter (Python) | NOT_BUILT | Phase 1 · Sprint 4 · 3 Tage |
| H4 | Liyakat-Council Mevzuat (5-KI Konsens) | PARTIAL | Yondem-Bridge LIVE · Hukuk-Integration NOT_BUILT |
| H5 | E-SMM Integration via MakbuzTek (NICHT E-Fatura!) | NOT_BUILT | Phase 1 · Sprint 5 · ~200 LoC |
| H6 | Mobile PWA iOS + Android (read-only) | NOT_BUILT | Phase 1 · Sprint 5-6 · Vue 3 + Vite + Tailwind |
| H7 | KVKK-Aydınlatma-Metni Generator | NOT_BUILT | Phase 3 Polish · 2 Tage |
| H8 | Multi-Tenant Vault Namespace (Avukatlık-K Madde 36) | PARTIAL | Vault LIVE · Tenant-Isolation neu |
| H9 | Yargıtay-Emsal-RAG (50.000+ Entscheidungen) | NOT_BUILT | Phase 2 · Sprint 7-8 · 5 Tage scraper |
| H10 | TBB-Reklam-Yasağı (32627/2024) Compliance-Scanner | NOT_BUILT | Phase 2 · Sprint 9 · 2 Tage |
| H11 | İcraBOT — Massen-Vollstreckung (Liyakat-validated) | NOT_BUILT | Phase 2 · Sprint 10 · 5 Tage |
| H12 | Anwalt-Phase-0 Compliance-Sprint (Madde 36/39, KVKK, TBB) | NOT_BUILT | 5-10k TL Honorar · 2 W parallel |
| H13 | Pilot-Akquise: 5 Istanbul Icra-Kanzleien (6 Mo. gratis) | NOT_BUILT | Phase 3 · Eat-Own-Dogfood beschleunigt |
| H14 | Marketing-Launch + TBB-Liaison-Letter | NOT_BUILT | Phase 4 · nach MVP |
| H15 | Domain hacihukuk.com.tr + Sub-Brand | NOT_BUILT | Empfehlung: Sub-Produkt eigene Marke |
| H16 | Postgres Schema (dosya + icra_dosya + muvekkil + audit_log) | NOT_BUILT | Phase 1 · Sprint 1 · 1 Tag |
| H17 | Cyber-Insurance Setup (~5-10k EUR/Jahr) | NOT_BUILT | Vor Pilot-Launch · 1 Woche |
| H18 | Chrome Web Store + Apple Dev + Google Play Publish | NOT_BUILT | Sprint 6 · 3-7 Tage Reviews |
| H19 | MakbuzTek Sandbox-OK + Production-Key | NOT_BUILT | Phase 0 (parallel mit Anwalt) |
| H20 | Daily-Backup + Caddy Reverse-Proxy + SLA-Monitor | PARTIAL | Yondem-Infra LIVE · Hukuk-Subset neu |
Yondem-Stack ableitbare Geschäftsmodelle. 0 neue Tech, nur Re-Packaging. HACI + 4 Extras = ~85k € ARR statt 17k € HACI alone.
| ID | Hebel | Wert | Priority | Status | Notiz / Aufwand |
|---|---|---|---|---|---|
| F1 | UYAP-Bot-as-a-Service (B2B2C — Konkurrenz wird Kunde) | 15k EUR/Mo MRR | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ | NOT_BUILT | TOP · 2 W · Lawyer Team/Hukas als Kaeufer |
| F2 | AI-Resepsiyonist (Avukat-Empfangs-AI) | 5,97M TL/Mo TAM | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ | NOT_BUILT | TOP · 3 W · 199 TL/M vs Sekretaer 3.000 TL |
| F3 | Tebligat-Foto-Scanner (Mobile Vision) | Killer-Demo | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ | NOT_BUILT | TOP · 1 W · HACI Phase-1 Add-On |
| F4 | Compliance-Telemetry-as-a-Standalone-SaaS (EU AI Act!) | 99 EUR/Mo per Tenant | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ | PARTIAL | TOP · 3 W · 02.08.2026 Stichtag · Backend bereits LIVE |
| F5 | Eat-Own-Dogfood Sales (Yondem akquiriert sich selbst) | CAC <5 EUR statt 50-100 EUR | ⭐⭐⭐⭐⭐⭐⭐⭐⭐ | NOT_BUILT | TOP · 1 W · TBB-Crawler + Outreach |
| F8 | Predictive Litigation Analytics (Data-Asset Y2+) | 50-200k EUR/Jahr Lizenz | ⭐⭐⭐⭐⭐⭐⭐⭐⭐ | NOT_BUILT | MID · 8 W · Versicherer/Funder, US-Markt 100M$ |
| F10 | EU Multi-Country (beA DE, LexNET ES, PCT IT, KEI NL) | TAM 600 Mio EUR EU | ⭐⭐⭐⭐⭐⭐⭐⭐⭐ | NOT_BUILT | MID · Y3+ · Same code, 5 Maerkte |
| F7 | Muevekkil-App (B2C Mandanten-Side Pull-Akquise) | 99 TL/Mo per Mandant | ⭐⭐⭐⭐⭐⭐⭐⭐ | NOT_BUILT | MID · 4 W · Network-Effect |
| F9 | Notar / Mali-Muesavir / Doktor (gleiche Tech, andere Maerkte) | 3 verticals × 1M+ TL | ⭐⭐⭐⭐⭐⭐⭐⭐ | NOT_BUILT | MID · 2-4 W/vertical · Multi-Vertical 1-Person-Unicorn |
| F12 | Data-Sales (anonymisierte Dosya-Daten) | 50-200k EUR/Lizenz | ⭐⭐⭐⭐⭐⭐⭐⭐ | NOT_BUILT | BOT · Y2+ · KVKK-konform mit Pseudonymisierung |
| F14 | TR-Diaspora-Anwaelte (DE/NL/AT 50k Anwaelte) | 5,9M EUR/Jahr ARR Potenzial | ⭐⭐⭐⭐⭐⭐⭐⭐ | NOT_BUILT | BOT · 4 W · 49 EUR/Mo × 10k DE-TR Workflow |
| F6 | Avukat-Akademi (Stajyer-Training) | ~1M TL/Jahr SOM | ⭐⭐⭐⭐⭐⭐⭐ | NOT_BUILT | MID · 4 W · academy_activator bereits da |
| F11 | HACI App-Marketplace (30% Plattform-Cut) | Apple-Store-Pattern | ⭐⭐⭐⭐⭐⭐⭐ | NOT_BUILT | BOT · Y2+ |
| F13 | Voice-Diktat Mobile (Whisper -> Dosya) | Multi-Tasking UX-Killer | ⭐⭐⭐⭐⭐⭐ | NOT_BUILT | BOT · 3 W · Whisper-Provider in Bridge |
| F15 | AI Vertrags-Risk-Scanner (B2C Massenmarkt) | 99 TL/Scan | ⭐⭐⭐⭐⭐⭐ | NOT_BUILT | BOT · 2 W · separate Linie ausserhalb Avukat |
Parallel zu HACI launchbar. Tebligat-Scanner + Compliance-SaaS = TOP-2 Empfehlung.
| ID | Produkt | Status | Notiz / Build-Effort |
|---|---|---|---|
| N1 | Tebligat-Foto-Scanner (Mobile Vision-AI 4-Sek Frist-Extraktion) | NOT_BUILT | 1 W · HACI Pro+ Tier Killer-Demo |
| N2 | AI-Resepsiyonist (Twilio + Whisper + Bridge + HACI-Integration) | NOT_BUILT | 3 W · 199 TL/Mo · separater Akquise-Kanal vor HACI |
| N3 | Compliance-Telemetry SaaS (eigene Marke compliance-tr.io) | PARTIAL | 3 W · Backend bereits LIVE in /opt/yondem/handoff/compliance-telemetry/ · re-package only |
| N4 | UYAP-Bot-as-a-Service B2B2C API (0,10 EUR/Sync oder 999 EUR/Mo unlimited) | NOT_BUILT | 2 W · Playwright + Bridge + Liyakat LIVE · public API + Rate-Limit |
| ID | Säule | Origin | Status | Yondem-Implementation |
|---|---|---|---|---|
| S1 | OmniChannel Conversational AI | 2019 | PARTIAL | Console Chat + 12 KIs |
| S2 | Wallet-Engine (SELBST bauen) | 2019 | NOT_BUILT | geplant — eigene Engine |
| S3 | Augmented ML + Human-in-the-Loop | 2019 | PARTIAL | prescribe.py + RPAA |
| S4 | DSP/DMP mit Geo-Targeting | 2019 | PARTIAL | Trend-Engine + Location Intelligence |
| ID | Chance | Wert | Priority | Status | Notiz |
|---|---|---|---|---|---|
| C2 | Distribution-Assets nutzen (26K+7K+2.4K) | 500k+ Wert | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ | NOT_BUILT | |
| C3 | Zero-Cost Bring-your-own-AI Disruption | Paradigmenwechsel | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ | PARTIAL | Yondem aktuell darin |
| C1 | EU AI Act Compliance-as-a-Service | 5-50 Mrd Markt | ⭐⭐⭐⭐⭐⭐⭐⭐⭐ | NOT_BUILT | |
| C4 | Build-in-Public LinkedIn 7-Tage-Serie | 260 Leads = 26 Kunden = 3.874 MRR | ⭐⭐⭐⭐⭐⭐⭐⭐⭐ | NOT_BUILT | |
| C5 | Klon-Armee (Franchise ohne Franchise-Nehmer) | 7+ Laender in Wochen | ⭐⭐⭐⭐⭐⭐⭐ | NOT_BUILT | |
| C6 | Immunsystem als Enterprise-USP | 5-20K MRR | ⭐⭐⭐⭐⭐⭐ | PARTIAL | |
| C8 | Erol als Marke = TokenBroker | Bewegung statt SaaS | ⭐⭐⭐⭐⭐⭐ | NOT_BUILT | |
| C7 | Data-Export KI-Spiegel (Trojanisches Pferd) | Virale Akquisition | ⭐⭐⭐⭐⭐ | NOT_BUILT |
| ID | Produkt | Pricing | Status |
|---|---|---|---|
| L1 | Trend-Creation-Engine | 499-4999/M | LIVE |
| L2 | Diagnose-Agent / URL-Scanner | Freemium = Upsell | NOT_BUILT |
| L3 | Prescribe-Engine | 499/M | NOT_BUILT |
| L4 | Academy / Lernplattform | 29-499/M | PARTIAL |
| L5 | Entscheider-Profiler (5 Typen) | Feature/SaaS | NOT_BUILT |
| L6 | Living Organism Dashboard (White-Label) | 2.500/M | PARTIAL |
| L7 | IP-Shield / Security Suite | 299/M oder 1.500/Scan | PARTIAL |
Theoretisches Pattern: Eigene Insights in N Fragmente zerlegen → an verschiedene KIs verteilen → niemand sieht Gesamtbild → lokal zusammensetzen. Praxis-proof noch offen.
| ID | Pattern | Status | Note |
|---|---|---|---|
| IP1 | Idea-Fragmentation: eigene Idee in N Teile zerlegen | PARTIAL | Theorie OK, Praxis-Pattern offen |
| IP2 | Multi-AI-Distribution: Fragmente an versch. KIs senden | NOT_BUILT | kein einzelner Provider sieht Gesamtbild |
| IP3 | Reassembly-Layer: Fragmente lokal zusammenbauen | NOT_BUILT | Local-only Recombination |
| IP4 | Confidentiality-Score per Pattern (1-5) | PARTIAL | scoring-framework existiert teilweise |
| IP5 | Fragmentations-Strategien: Sentence/Role/Schema | NOT_BUILT | 3 Pattern-Typen aus Strategy-Doc |
| IP6 | Recombination-Gates: Validierung vor Output | NOT_BUILT | |
| IP7 | Insight-Filter: was NIE in externen Prompts auftaucht | NOT_BUILT |
| ID | Idee | Status |
|---|---|---|
| V1 | Ginlo - Secure Messaging (E2E Agent-Comm) | NOT_BUILT |
| V2 | Kopano - Secure Mail/Groupware | NOT_BUILT |
| V3 | PKA / Doppel_M - Wettbewerber-Benchmark | NOT_BUILT |
| V4 | Token-Grosshandel (Bulk-API-Credits) | NOT_BUILT |
| V5 | Eigene Benchmarks fuer KI-Orchestratoren | NOT_BUILT |
| V6 | Lab-Tool fuer Agent-Tests | NOT_BUILT |
| V7 | Community-Strategie (Discord/Forum) | NOT_BUILT |
| V8 | Ordner oeffnen / + Button UI | NOT_BUILT |
| V9 | Data Export Pipeline (ChatGPT/Claude) | NOT_BUILT |
| V10 | Codex Nacht-Sprints | PARTIAL |
| V11 | The Match - OpenClaw Gateway | PARTIAL |
| V12 | Satellite/Tuerkei - Public Sector Secure Msg | NOT_BUILT |
| V13 | Tekamuel - App Integration | NOT_BUILT |
| V14 | Run & Debug as a Service | NOT_BUILT |
| V15 | Innovationshub-Teilnahme | NOT_BUILT |
| V16 | Amazon Buch / CEOfluencer | NOT_BUILT |
| V17 | B2B Reseller Console | NOT_BUILT |
| V18 | M2M Affiliate Platform | NOT_BUILT |
| V19 | Maxim AI Testing Framework | NOT_BUILT |
| V20 | Moltbook Markt-Tool | NOT_BUILT |
| V21 | Avatar-Design (KI-generiert) | NOT_BUILT |
| V22 | Buch-Update 2. Auflage | NOT_BUILT |
| V23 | Ruflo Konzept | NOT_BUILT |
| ID | Modul | Status |
|---|---|---|
| M1 | agent_laws.py (Asimov Middleware) | NOT_BUILT |
| M2 | dream.py (Memory-Konsolidierung) | NOT_BUILT |
| M3 | ab_testing.py (Multi-Armed Bandit) | NOT_BUILT |
| M4 | personality_profiler.py | NOT_BUILT |
| M5 | console_personalize.py | NOT_BUILT |
| M6 | prescribe.py (Praeskriptive Engine) | PARTIAL |
| M7 | onboarding_flow.py (1-Suchfeld=Report) | NOT_BUILT |
| ID | LAP | Status |
|---|---|---|
| A1 | CRO Academy LAP: Experimentation | PARTIAL |
| A2 | CRO Academy LAP: Behavior | NOT_BUILT |
| A3 | CRO Academy LAP: A/B Testing | NOT_BUILT |
| A4 | CRO Academy LAP: Personalisierung | NOT_BUILT |
| A5 | CRO Academy LAP: Analytics | NOT_BUILT |
| A6 | Entscheider-Typ LAP: Initiator (8%) | NOT_BUILT |
| A7 | Entscheider-Typ LAP: Umsetzer (37%) | NOT_BUILT |
| A8 | Entscheider-Typ LAP: Hybrid (33%) | NOT_BUILT |
| A9 | Entscheider-Typ LAP: Analytiker (21%) | NOT_BUILT |
| A10 | Entscheider-Typ LAP: Beobachter (1%) | NOT_BUILT |
| A11 | Trend-Vorhersage LAP (Psychohistorik) | NOT_BUILT |
| ID | Konzept | Status |
|---|---|---|
| P1 | Praediktive Analytics + Decision Trees + Auto-Learning | NOT_BUILT |
| P2 | Feature-Importance Bubble-Charts | NOT_BUILT |
| P3 | 4-Step Onboarding Wizard | NOT_BUILT |
| P4 | Secure Agent-Kommunikation (E2E) | NOT_BUILT |
| P5 | B2B White-Label / Reseller Multi-Tenant | NOT_BUILT |
| P6 | Churn-Prediction LAP | NOT_BUILT |
| P7 | Next-Best-Action / Recommendation | NOT_BUILT |
| P8 | Customer Service Automation | NOT_BUILT |
| ID | Idee | Status |
|---|---|---|
| I1 | Agent Swarm / Parallele Queue | PARTIAL |
| I2 | Selbstverbesserung / Evolution (Thompson) | PARTIAL |
| I3 | Affiliate / Monetarisierung (Awin, Digistore) | PARTIAL |
| I4 | Marketplace / Compare / Discovery | NOT_BUILT |
| I5 | Enterprise / Multi-Tenant / Isolation | NOT_BUILT |
| I6 | Training / Daten / Lernschleifen | NOT_BUILT |
| I7 | Protected Workflow OS / Connector Factory | PARTIAL |
| ID | Strategie | Status |
|---|---|---|
| R1 | CRM-Crawler: Welches Tool nutzt welcher Kontakt? | NOT_BUILT |
| R2 | Weltkarte-Dashboard (alle Kontakte geolokalisiert) | NOT_BUILT |
| R3 | Brandwatch-Strategie | NOT_BUILT |
| R4 | Dummy-Shop-Generator (autonom pro Branche) | NOT_BUILT |
| R5 | KNIME Hub als Vertriebskanal (5M+ Nutzer) | NOT_BUILT |
| R6 | Multi-Brand / Sub-Brand Strategie | NOT_BUILT |
| ID | Komponente | Status | Note |
|---|---|---|---|
| LF1 | Tool-Store-Seed (Bestandsagenten-Audit + Klassifizierung) | PARTIAL | |
| LF2 | Use-Case-Packaging | NOT_BUILT | |
| LF3 | API-Schnellgenerator (auto API per Use-Case) | NOT_BUILT | |
| LF4 | Connector-Templates Library | PARTIAL | |
| LF5 | Connector: Shopify | NOT_BUILT | |
| LF6 | Connector: Shopware | NOT_BUILT | |
| LF7 | Connector: WooCommerce | NOT_BUILT | |
| LF8 | Connector: Magento | NOT_BUILT | |
| LF9 | Connector: BigCommerce | NOT_BUILT | |
| LF10 | Admission-Gate / Quarantine (Security/Malware/Supply-Chain) | NOT_BUILT | |
| LF11 | Store-Ready vs Internal-Only Separation | NOT_BUILT | |
| LF12 | Skill-Producer Generic Pipeline | PARTIAL | skill_producer_generic.sh exists |
| LF13 | Skill-Design-Producer v3 | PARTIAL | skill_design_producer_v3.sh |
| LF14 | Sonnet-Doc-Producer v2 (lib-based) | LIVE | |
| LF15 | Sonnet-Review-Producer v2 | LIVE |
| ID | Endpoint/Lane | Status |
|---|---|---|
| BQ1 | POST /bridge/submit (Producer-Endpoint) | LIVE |
| BQ2 | POST /bridge/claim-next (Worker-Endpoint) | LIVE |
| BQ3 | POST /bridge/complete (Result-Endpoint) | LIVE |
| BQ4 | GET /bridge/status (Telemetrie) | LIVE |
| BQ5 | POST /bridge/heartbeat (Worker-Liveness) | LIVE |
| BQ6 | POST /bridge/fail (Failure-Reporting) | LIVE |
| BQ7 | Bridge-Archive (queue.sqlite + JSON-files) | LIVE |
| BQ8 | Browser-KIs Lane (Playwright privat, NICHT Customer) | PARTIAL |
| BQ9 | API-KIs Lane (DeepSeek, Gemini, Vertex, NVIDIA, etc) | LIVE |
| ID | Agent | Status | Note |
|---|---|---|---|
| AG1 | Tool Platform 102 Agent Registry (ALL_AGENTS) | PARTIAL | yondem-runtime/backend/app/agents/swarm.py |
| AG2 | BillingCostControlAgent A45/A51 | PARTIAL | |
| AG3 | M2M Affiliate Agents A82/A92/A93 | PARTIAL | |
| AG4 | BookPromoter Agent A84 (Amazon/CEOfluencer) | NOT_BUILT | |
| AG5 | RPAA-Aggregator (Real-time Persistent Active Agent) | LIVE | |
| AG6 | Guardian A103 (Compliance/Safety) | PARTIAL | |
| AG7 | 12 KI Liyakat-Council (Opus, Codex, DeepSeek, Gemini, etc) | PARTIAL | |
| AG8 | 100 CEO-Organismus (1->10->100->1k->100k->1M) | NOT_BUILT |
| ID | Pattern | Status | Note |
|---|---|---|---|
| D1 | 1000 Events/Woche -> 1 Tropfen Essenz | PARTIAL | Memory-Distiller cron */30 |
| D2 | L2_INDEX (komprimiertes Wissen) | LIVE | 260KB index, 1300+ Eintraege |
| D3 | Lane-Learning-Curves (Drift-Detection) | LIVE | |
| D4 | Sprint-Synthese aus Result-MDs | PARTIAL | |
| D5 | Master-Plan-Forecast (16 Industries x Brief-Types) | PARTIAL |
| ID | Prinzip | Status | Note |
|---|---|---|---|
| PR1 | Prinzip 19: Einer fuer Alle (jede KI macht 30 prompts UND fuehrt sie aus) | PARTIAL | |
| PR2 | Prinzip 18: Bestehende Entscheidungen sind Pflichtlektuere | PARTIAL | |
| PR3 | Ehrlichkeitsregel: Nichts durchreichen was nicht echt funktioniert | LIVE | heute Nacht angewendet |
| PR4 | Erst fragen, dann suchen (statt 15 search_files burnen) | PARTIAL | |
| PR5 | TOTAL-Cap-First (niemals monthly-reset) | LIVE | |
| PR6 | Dual-Track Lab vs Sales-Twin (privat vs customer) | PARTIAL | |
| PR7 | No-Buy / Build-In-House | LIVE |
MACRO → 4 HAK-Säulen 2019 (OmniChannel/Wallet/AML/DSP) ↓ MESO → 8 KI-Chancen (C1-C8) ↓ MIKRO → 7 LAP-Produkte (S1-S7) ↓ PIKO → 7 Codex-Module (M1-M7) ↓ NANO → Sales-Assets (was wir aktuell auf Vertex produzieren) Plus Quer-Schichten: - IP-Shield Pattern (7 Patterns) - Schutz vor eigenen Idee-Leak - 23 Verlorene Ideen (V1-V23) - Recovery aus Past Chats - 11 Academy/Entscheider-Typen (A1-A11) - 8 Partner-Konzepte (P1-P8) - 7 Historical Idea Box (I1-I7) - 6 CRM/Sales Strategien (R1-R6) - 18 Yondem-CURRENT-BUILT (Y1-Y18) - alles was JETZT live ist
248.908 Customer-Ready-Assets in /opt/yondem/customer-ready/bridge-auto/ = Goldgrube.
Jeder Pfad ist autonom umsetzbar durch nächste KI-Session.
| ID | Pfad / Ziel-Käufer | Preis / Volumen | MRR-Range | Closed-Loop-Rolle | Status + Agent-Aufgaben |
|---|---|---|---|---|---|
| MON-2 | Marketing-Agentur White-Label DACH/EU Marketing-Agenturen (50-500 MA) | 499-1999 pro Monat pro Agentur EUR 5-30 Agenturen kumuliert in 6 Monaten Sales/Mo | 2500-60000 EUR MRR | Recurring Revenue 12-36 Monate Lebenszeit pro Customer | Status: launch_ready_awaiting_approvalAgent-Plan• 1. Multi-Tenant Access-Layer bauen: Agentur-Login + Asset-Browser• 2. API-Endpoint /agency/ • 3. Asset-Download mit White-Label-Branding (Customer-Logo eingesetzt) • 4. Billing-Integration Stripe Subscription (Monatliche Rate) • 5. Agent-Outreach: LinkedIn-Liste 50 DACH-Agenturen, Cold-Mail-Template • 6. Pricing-Tiers: Bronze 499eur (50 Downloads/Mo), Silver 999eur (200), Gold 1999eur (unlimited) • 7. Output: /opt/yondem/scripts/agency_portal/ (Multi-Tenant Backend) • 8. Closed-Loop: Agentur-Feedback fließt in Asset-Quality, Top-Patterns werden mehr produziert Files-to-build• /opt/yondem/scripts/agency_portal/multi_tenant_auth.py• /opt/yondem/scripts/agency_portal/white_label_renderer.py • /opt/yondem/scripts/agency_portal/stripe_subscription.py • /opt/yondem/handoff/cold-email-template-agencies.md |
| MON-3 | Speed-Build-Service (DACH-Mittelstand) Mittelstandsunternehmen DACH (Foodtech, Logistik, Health, Finance) | 299-999 pro Projekt EUR 5-20 Projekte Sales/Mo | 1500-20000 EUR MRR | Inventory beschleunigt Delivery, Marge bei 90% wegen Asset-Reuse | Status: conceptAgent-Plan• 1. Landing-Page yondem-speed-build.de - Customer beschreibt Anfrage• 2. KI-Intake-Bot: extrahiert Industry/Type aus Beschreibung • 3. Asset-Selector: holt 10-30 passende Komponenten aus 248k Pool • 4. Auto-Customization mit Liyakat-Council: Customer-Branding, Texte anpassen • 5. ZIP-Lieferung in 4-24h, Stripe-Payment im Voraus • 6. Yondem-AI macht 80%, Erol macht 20% Finalisierung (oder ganz auto bei Standard) • 7. Closed-Loop: jedes Projekt verbessert Asset-Selektor durch Customer-Feedback Files-to-build• /opt/yondem/scripts/speed_build/intake_classifier.py• /opt/yondem/scripts/speed_build/asset_selector.py • /opt/yondem/scripts/speed_build/customization_pipeline.py • /opt/yondem/scripts/speed_build/delivery_packager.py |
| MON-1 | Gumroad/Lemonsqueezy Solo-Dev Packs Solo-Developer / Indie-Hacker / SMB-Owner | 29-79 pro Pack EUR 30-200 Sales/Mo | 900-15000 EUR MRR | Passive Income, einmaliger Verkauf, 2-3 Jahre Lebensdauer pro Pack | Status: launch_ready_awaiting_approvalAgent-Plan• 1. Top-50 Files pro Industry (16 Industries) aus /opt/yondem/customer-ready/bridge-auto/ filtern nach quality_score• 2. ZIP-Pack pro Industry erstellen mit README.md (Lizenz, Installation, Demo-Screenshots) • 3. Gumroad-Listing-Text generieren via local-gemma (3 Optionen, kuratiert) • 4. Preise: Foodtech-29eur, Logistics-49eur, Premium-79eur • 5. Output: /opt/yondem/products/gumroad-packs/ • 6. Erol-Action: Upload zu Gumroad, Stripe-Connect • 7. Closed-Loop: täglich neue Assets erweitern Pack, Auto-Versioning v1.1, v1.2... Files-to-build• /opt/yondem/scripts/asset_monetization/pack_builder.py• /opt/yondem/scripts/asset_monetization/gumroad_listing_generator.py |
| MON-4 | Yondem Components API (SaaS-Subscription) Developer, Startups, Indie-Hacker, Agencies | 99 Starter / 499 Pro / 2499 Enterprise pro Monat EUR 20-200 Subscribers kumuliert in 12 Monaten Sales/Mo | 2000-50000 EUR MRR | Inventar wächst kontinuierlich via Free-Tier-Credits, Wert steigt automatisch | Status: conceptAgent-Plan• 1. API-Endpoint GET /api/v1/components?industry=X&type=Y&limit=10• 2. Authentication via API-Key (kein Login-Flow nötig) • 3. Rate-Limit per Tier: Starter 100/Tag, Pro 1000/Tag, Enterprise unlimited • 4. Search-API mit Embedding-Vergleich (nutze yondem_rag.lance) • 5. Download als JSON/ZIP/Direct-Embed • 6. Stripe-Subscription-Integration • 7. Docs-Site mit Code-Beispielen Python/JS/cURL • 8. Closed-Loop: API-Anfrage-Logs zeigen welche Industries/Types am häufigsten - mehr produzieren Files-to-build• /opt/yondem/scripts/components_api/v1_endpoint.py• /opt/yondem/scripts/components_api/embedding_search.py • /opt/yondem/scripts/components_api/stripe_billing.py • /opt/yondem/scripts/components_api/rate_limiter.py • /opt/yondem/desktop_static/components_api_docs.html |
| MON-6 | Branchen-Premium-Packs (kuratiert) DACH-Mittelstand-Marketing-Manager, Web-Agency-Inhaber | 299-999 pro Pack EUR 5-30 Sales pro Branche × 5 Branchen = 25-150 Sales Sales/Mo | 7500-100000 EUR MRR | Pro Branche 1 Premium-Pack, 12-24 Monate verkauft, jährliches Update | Status: launch_ready_awaiting_approvalAgent-Plan• 1. Top-30 Komponenten pro Branche durch Liyakat-Council ranken (Quality + Vielfalt)• 2. 5 fertige Page-Templates zusammenstellen (Hero + Features + Pricing + Testimonials + Footer) • 3. Custom-Logo-Slot in Templates (Customer fügt sein Logo ein) • 4. README mit Installation, Browser-Compatibility, Lizenz • 5. 10 Demo-Screenshots pro Pack via headless-browser screenshot • 6. Pricing-Page eigene yondem-store.com • 7. Newsletter-Signup, alle 3 Monate Update-Version verkaufen • 8. Closed-Loop: Käufer-Feedback bestimmt nächste Branche, A/B-Testing der Pack-Größen Files-to-build• /opt/yondem/scripts/premium_packs/curator.py• /opt/yondem/scripts/premium_packs/page_template_builder.py • /opt/yondem/scripts/premium_packs/screenshot_generator.py • /opt/yondem/desktop_static/yondem_store/ • /opt/yondem/handoff/premium-packs-marketing-plan.md |
| MON-5 | AI Training Data Licensing Mistral, Alibaba, Together AI, HuggingFace, Cohere | 5000-50000 einmalig pro Lizenz EUR 1-3 Käufer in 12 Monaten Sales/Mo | 5000-150000 total in 12 Monaten EUR MRR | Dataset einmal aufbereitet, mehrmals verkaufen, kein zusätzlicher Production-Cost | Status: launch_ready_awaiting_approvalAgent-Plan• 1. Dataset-Manifest erstellen: JSON-Schema mit task_type, industry, variant, char_count, quality_score• 2. Quality-Filter: nur quality_score > 0.7, prompt+response paired, refusals raus • 3. Splits: 70 train / 15 val / 15 test • 4. Format-Konvertierung: JSONL für ML-Training (instruction + output) • 5. Datenblatt PDF: Methodology, Distribution-Statistics, Quality-Metrics • 6. Lizenz-Template: CC-BY-SA für Forschung, Commercial-License separat • 7. Outreach-Liste: ML-Engineers bei Mistral/Alibaba/Together via LinkedIn • 8. Closed-Loop: bei Verkauf bekommen wir Feedback welche Patterns am wertvollsten Files-to-build• /opt/yondem/scripts/data_licensing/dataset_packager.py• /opt/yondem/scripts/data_licensing/quality_filter.py • /opt/yondem/scripts/data_licensing/manifest_generator.py • /opt/yondem/handoff/dataset-datasheet-template.pdf • /opt/yondem/handoff/dataset-outreach-list.md |
| Pattern | Datei / Anweisung |
|---|---|
| Source-of-Truth | /opt/yondem/personal/strategie/asset_monetization_6_paths.json |
| Nächster Schritt | MON-1 (Gumroad-Pack-Builder) — höchster Hebel bei niedrigstem Aufwand, 2-3 Tage Build |
| Status-Update | JSON-Feld build_status auf 'in_progress' / 'live' setzen, Event nach state/idea_status_history.jsonl |
| Agent-Action-Plan | Steht in JSON pro Pfad als Array — abarbeiten Step für Step |