Michael Wibracht Founder & Principal | AllDark.HorseSan Antonio, Texas
Executive Overview
Michael Wibracht is a 25-year real estate development veteran and AI solutions architect based in San Antonio, Texas. As former Founder, Managing Partner, and President of 210 Development Group and Mission DG, he led the strategy, capitalization, and execution of transformative projects spanning adaptive reuse, urban infill, and complex public-private partnerships. He holds a BBA in Management Information Systems from Texas A&M University, College Station — combining formal technology training with deep industry expertise.
Through AllDark.Horse, his AI solutions studio, Michael builds purpose-built AI financial tools for the real estate development and affordable housing finance industries — bringing a rare combination of hands-on deal experience and technical capability that no generalist AI firm can match.
Development Track Record
- $1B+ in construction and development overseen
- 6,000+ multifamily and affordable housing units delivered or in development
- $405M total development investment
- $140M in historic adaptive redevelopment
- $114M LIHTC eligible basis
- $31M in Federal Historic Tax Credit equity
- Deep expertise in HUD 221(d)(4), HUD 223(f), LIHTC, Fannie Mae DUS, and large-scale construction finance
AI Tools & Technology
Designer and developer of seven deployed AI-powered financial tools and a live pipeline intelligence platform for real estate finance professionals:
• Digital Twin Engine — Live pipeline intelligence platform with FRED API rate integration, FastAPI REST API (12 endpoints), React dashboard, viability scoring, tiered email alerts, sensitivity analysis, NMTC modeling, and a nine-layer soft source stack (deferred dev fee, PBV, HOME, CDBG, TDHCA, local gap/TIF, seller notes, FHLB AHP, NMTC). Dockerized with automated daily rate cycles, weekly Excel exports, and SSL-secured deployment.
• 10-Year Treasury Predictor with HUD Pricing — Automated daily FRED data pull with three-model forecast engine (momentum, mean reversion, volatility-adjusted), Berkadia PLA-calibrated HUD 223(f) and 221(d)(4) spreads, weekly email delivery via GoDaddy SMTP
• HUD 223(f) Loan Sizer — DSCR-constrained mortgage sizing with MIP (flat 25 bps per FR-6522-N-02), LTC caps, and debt yield analysis
• HUD 221(d)(4) Loan Sizer — 40-year amortization, 1.11x DSCR, 90% LTC constraint, construction-period interest modeling
• LIHTC Financial Model — Full 4% credit underwriting with eligible basis calculation, applicable fraction, 10-year credit stream, investor pricing, Texas State LIHTC (HB 1058) layer, and TDHCA-format Development Cost Schedule
• Fannie Mae Small Loan Sizer — Side-by-side Freddie Mac SBL and Fannie Mae comparison with LTV/DSCR constraints and rate lock analysis
• CRE Deal Finder — Automated deal sourcing via Crexi with Playwright/CDP scraping, filtering, and pipeline integration
Technical capabilities: Python (FastAPI, pandas, NumPy), React/JavaScript, REST API design, Docker containerization, FRED API integration, GoDaddy SMTP automation, Nginx reverse proxy with SSL, cron-based scheduling, PostgreSQL, Playwright browser automation, and full-stack cloud deployment (DigitalOcean/Ubuntu). All tools built on Anthropic’s Claude platform with custom prompt engineering for domain-specific financial modeling.
Domain specialization: AI-powered underwriting for LIHTC, HUD 221(d)(4), HUD 223(f), Federal/State Historic Tax Credits, New Markets Tax Credits (NMTC), Project-Based Vouchers (PBV), and layered affordable housing capital stacks including HOME, CDBG, TDHCA soft debt, FHLB AHP, TIF/TIRZ, and seller financing. Purpose-built for the complexity that generalist AI platforms cannot address.
Professional Standing
Mr. Wibracht maintains full eligibility to participate in federally related and regulated transactions and is not suspended, debarred, or restricted from engaging in projects involving institutional or government-related capital.
