( 2026 · Maui, Hawaiʻi )

Year2026
LocationMaui, Hawaiʻi
TypeWeb App
ScopeLive data platform · Decision-support tools

Why it exists

Every fantasy football league depends on one volunteer — the commissioner — to keep a group of very opinionated people playing the same game. When they propose changing a rule, the debate that follows is the same one you’ll find in any organization: everyone has an opinion, nobody has evidence, and the loudest voice wins.

Commisherable is HI Banzai’s answer, built and operated as our own product. The premise is printed right on the homepage — “You volunteered for this.” It gives that one volunteer what they’ve never had: the ability to show, with real data, what a decision would actually do before anyone commits to it.

We also made a deliberate bet on trust. Getting started takes a username, nothing more. The integration with the league platform is strictly read-only — we can show you every consequence of a change without ever touching the real thing. And when users do create an account, there’s no password to invent or forget: sign-in is a one-time code sent to their email. Lowering the barrier to entry is the product strategy.

What it does

The core idea across every tool is the same: take something that used to cost the commissioner an argument or an evening of manual work, and turn it into an answer.

The Scoring Calculator settles the rules debate. It loads a league’s complete history and makes every rule adjustable, with the current rules as the baseline. Change one, and an entire season is instantly recalculated — who benefits, who loses, which outcomes flip. A proposal stops being a matter of opinion and becomes a link anyone in the group can open and see for themselves.

Manager Intel solves the reference-check problem every community with open membership has: someone you’ve never met asks to join, and the wrong pick means months of cleanup. Give it a username and it assembles a full background report from years of that person’s public history across every group they’ve played in — how active they are, how they behave, and whether they tend to quietly disappear halfway through. What used to be a gut call on a stranger becomes a one-page dossier, in about a minute.

Peek points the same lens the other direction — for the person deciding whether to join. Before committing a season of your time to a group, you can look inside it: how long it’s really been running, whether its members actually participate, and whether it’s a healthy community or one that’s quietly falling apart. It’s due diligence for something people usually enter blind.

The Lineup Auditor automates the participation problem. In any group activity, a few people coast, and calling it out by hand means someone combing through records week after week — tedious enough that it usually just doesn’t happen. The auditor reviews every decision every member made all season and separates honest mistakes from genuine neglect, turning hours of record-checking into a report that’s simply already done.

Around those four sit the quality-of-life pieces — a daily briefing email that tells users what happened while they weren’t looking, and a public roadmap that keeps the product evolving year-round.

How it’s built

Commisherable is a complete production system — the kind of build we’d deliver for a client, running live with real users.

Under the hood, it’s a modern full-stack product: Next.js and React on the front, a TypeScript API with PostgreSQL behind it, holding over ten million rows of historical performance data tuned to answer questions in milliseconds. It integrates continuously with a third-party platform’s API — respectfully, with caching and rate control designed so our traffic never becomes their problem — and blends in live market data from two independent external sources.

The details that don’t show up in screenshots are where the discipline lives: passwordless authentication, automated database migrations that run on every deploy, transactional email with proper unsubscribe handling, a design system enforced by tooling rather than good intentions, and automated tests that guard the calculations users are trusting to settle their arguments.

The takeaway for a prospective client isn’t the fantasy football. It’s that we took a messy, human problem — group decisions with no shared facts — found the data that could settle it, and shipped a polished product around it, end to end, on our own.

Next projectAnitaS.HenryConsulting