Three systems. Three answers. One number.
Your CRM, your sales tools, and your commission math each report a different close rate. I build the reconciliation layer underneath them, so leadership runs the company on one number everyone can trust instead of arguing about whose report is right.
45 minutes, free. Leave knowing your #1 bottleneck and one 30-day move to fix it.
Start with the review. Fix what it finds.
Start with a free Data Bottleneck Review, or go straight to a paid engagement if the problem's already clear. The review names the bottleneck. The work below fixes it.
Start here: Data Bottleneck Review
A free, 45-minute working session. We walk through 15 questions across the five places data work gets stuck (conflicting numbers, spreadsheet risk, key-person risk, scale, and AI-readiness), name your #1 bottleneck, and leave you one 30-day move. It's a directional read, not a technical audit.
Then: three ways to fix what it finds
Scoping Blueprint
The first paid phase of the build: I document what's broken, define what needs to change, and hand you a delivery plan with scope, price, and timeline. Credited toward the build if you continue.
- Workflow map of your current data operations
- Data source inventory with quality assessment
- Top 3 highest-impact opportunities ranked
- Prioritized build roadmap + one review round
Decision System Sprint
Most common
Ship one reporting, scoring, or ops tool your team uses every week.
- One production-ready dashboard, automation, scoring model, or AI workflow
- Integrated with your existing systems
- Demo every Friday, deployed at the end
- Handoff docs included
60-90 Day Embedded Build
Build the warehouse, reporting layer, or workflow your team runs from.
- Production-grade pipeline, app, dashboard, or intelligence system
- I embed in your domain and learn how work actually flows
- Handoff docs, runbook, and team training
- Optional retainer for ongoing iteration
What clients walked away with
MCA loan analytics
Manual reconciliation across 840 API calls per pipeline run. No risk scoring. Reports took 30 minutes to assemble.
Automated grading system with ROI scoring, correlation analysis, and reconciliation layer across HubSpot and QuickBooks.
840 API calls reduced to 6. Reports: 30 min to 26 sec. Risk team reviews flags, not raw data.
Python · Supabase · HubSpot
Solar installer forecasting
No visibility into future installation completions. Sales and ops working from different numbers.
Built forecasting system with user-controllable conversion rates, seasonality, and growth factors connected to live pipeline data.
6-month forward visibility per installer. First accurate forecast in company history.
DOMO · ETL · Forecasting
Behavioral health workflows
Staff running the same manual workflows 15 minutes at a time, plus a monthly process that consumed a full hour to harden.
Mapped and automated three core workflows into repeatable, fast routines.
Daily processes: 15 min to under 5 min. Monthly hardening: 1 hr to 20 min. Staff recaptured hours every week for client care.
Process automation · Python · Workflow design
60 to 90 days, start to ship
- 01
Embed
First week: I sit with your operators and learn how work actually flows.
- 02
Map
Diagram the systems, the data, the stuck places. Pick one painful thing to fix first.
- 03
Ship
Weeks 2 to 8: build, test, and deploy. Demo every Friday. No ceremony.
- 04
Hand off
Docs, runbook, and training. Your team owns it when I leave.
- 05
Stay close
Optional retainer for iteration. Most clients keep one.
Same rigor, off the clock
Nights-and-weekends builds: the same pipelines, tests, and dashboards I ship for clients, pointed at sports and hobbies.
DroughtWatch
Real-time NCAA basketball scoring drought analytics. Tracks 350+ teams, surfaces drought-influenced games, predicts drought risk, with a live March Madness tracker.
Next.js · Supabase · ESPN API · Vercel
OC Tendencies
Play-calling tendency profiles for Big 12 offensive coordinators. 111K+ plays analyzed across 23 coaches: run/pass splits, EPA, red zone, 3rd down, game-script patterns.
Python · CFBD API · Supabase · Recharts
Rival Alerts
Multi-sport rival-loss email alerts. When your rival loses, the roast is already written and in your inbox. CFB and MLB coverage with auto-generated commentary.
Next.js · Neon · Python · Resend
Pickleball Strategy Lab
Interactive shot-strategy dashboard built in an afternoon. 304K shots classified by Gemini Vision, indexed in BigQuery, surfaced as live tendency charts across skill tiers.
Python · BigQuery · Gemini Vision · Recharts
One operator. Four domains. Ten years of shipping.
I'm David Hyde. I started in operations on Goldman Sachs' margin-lending desk and spent the decade since building the reporting and risk layer operators actually run on: most recently the reconciliation and loan-scoring stack for a specialty-finance fund, with forecasting, BI, and automation for solar, behavioral-health, and sports teams along the way.
I don't do decks. I write the pipeline, ship the dashboard, and train your team to own it. When I leave, the tool stays.
Connect on LinkedIn →Not sure which path fits?
Tell me what's breaking. I'll help sort the first move.
Bring the messy version of the problem. We'll sort whether it's a diagnostic, sprint, or embedded build.