Build With Us

The team behind these concepts will build yours

Everything in our portfolio — the mini-sites, the content engines, the working apps — we designed and built. Now we'll build for you: custom sites, landing pages, SEO content engines, and full web apps, from proof of concept to a hardened, scalable product.

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Selected work

Nobody paid us to build these.

No client brief, no spec work, no logo wall. These are products we designed, built, shipped, and still run on our own dime — because the fastest way to prove we can build yours is to have already built ours.

Three of them share a thesis worth saying out loud: AI isn't just the tool anymore — it's the user.

Real EstateLive

geogenius.ai

AI as the audience

4 search-enabled engines
11-dimension score
~61k LOC

See it live

Why we built it: Buyers are starting to ask an AI for an agent before they ask Google. That quietly flips who you optimize for — the reader isn't a person scanning a page anymore, it's a model deciding whose name to say out loud.
What it does: GeoGenius probes ChatGPT, Grok, Claude, and Gemini through their search-enabled APIs — so an agent sees what each engine says after it actually searched the live web, not what it memorized. You get the transcript, the citations, and the sub-queries the engine ran to get there.
How it works: The fix is structural, not cosmetic. We publish the agent as Schema.org JSON-LD — every closing a SellAction, every hyperlocal note a geo-anchored Comment — server-rendered at a crawlable URL behind a bot allowlist, so engines can read it without executing JavaScript. Every probe also extracts the other agents an engine named, so a competitive map builds itself.

Spatial / Agent InfrastructureLive

rsmaps.ai

AI as the user

5 MCP tools
One engine, three runtimes
Explainable comps

See it live

Why we built it: An LLM knows about places in general. It knows nothing about your places — your portfolio, your sites, your proprietary dataset. That gap is exactly where every real location decision lives, and no amount of prompting closes it.
What it does: Drop in a CSV, TSV, Excel, KML, or GeoJSON of any shape. Gemini reads your column headers to find the address fields; polygons collapse to centroids, linestrings to midpoints, and already-geocoded files skip straight to the map. Census demographics, OpenStreetMap POIs, and FEMA flood zones enrich a pin on demand.
How it works: Comps run on one 377-line, zero-dependency scoring engine that executes in the browser, on the server, and inside the MCP server — Haversine distance, range-normalized similarity, named per-field weights, and missing fields that never silently penalize. It returns a per-field breakdown, so every comp explains itself. The MCP server puts geocoding, comps, and area insights directly inside Claude Code or Cursor.

FintechLive

swingsignal.ai

AI as the analyst

4 trained LightGBM models
74 features · 0.77 CV AUC
~75k LOC

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Why we built it: Ask one model for a stock pick and you get a confident answer with no adversary in the room. Real desks argue before they commit. Confidence should be disagreement that got resolved — not a single prompt that went unchallenged.
What it does: SwingSignal scores setups with four custom-trained LightGBM models — a classifier and a regressor for each side, bull and bear — across 74 engineered features spanning technicals, options liquidity, short interest, news sentiment, and congressional trading. It holds 0.767 cross-validated AUC with 3.4x lift in the top decile, benchmarked head-to-head against the heuristic engine it replaced.
How it works: A seven-state Gaussian HMM reads market regime, composited 40/30/30 across broad-market, sector, and single-stock models — and it doesn't just label the tape, it gates what publishes, with three-bar hysteresis and a 48-hour cooldown after a flip. Dealer gamma exposure from full option chains marks the put and call walls where price action tends to stall. Then an analyst agent, a PM that critiques it for up to five rounds, and a risk officer argue it out over a RAG-grounded playbook.

Four more, all live

CareersLive

oneresume.ai

Tailors a résumé off one master profile, then scores it on an eight-dimension model built from how real ATS parsers fail — down to an AI-detectability check that measures burstiness. Grok writes and Claude rewrites, because LLM screeners favor their own output. Ships as an MCP server with full OAuth 2.1.

15 MCP tools
923 O*NET occupations

See it live

FintechLive

optionscout.ai

Reads the live options tape for $500K+ sweeps and blocks, ranks them on a four-factor conviction score, and computes dealer gamma exposure per strike — call wall, put wall, and a gamma flip located by interpolation rather than nearest-strike. WebSocket during market hours, REST chain scan when it isn't.

Unit-tested GEX engine
Dual-path failover

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FintechLive

tradeplanner.ai

One-click broker sync through SnapTrade, with FIFO round-trip matching, account-scoped P&L, and options assignment handled properly. Its coach is architecturally barred from inventing a number — every figure is computed in code and handed over as facts it may only quote — then it narrates the trade back to you over an annotated chart.

Grounded AI coach
FIFO P&L engine

See it live

MediaLive

newshacker.ai

One URL, YouTube video, or pasted text becomes six platform-native drafts through a six-stage agent pipeline that routes each job to a different model — Gemini Flash to research, Pro to write, Flash-Lite to proof, Grok for anything X-native. A grounded research pass hunts for contradicting sources before a word is written.

6-stage agent pipeline
4 models routed by job

See it live

Three of these seven are trading products. That isn't repetition — it's depth. A grounded behavioral coach, a real-time gamma-exposure scanner, and a machine-learning research desk are three different attacks on one brutally hard domain, and we shipped all three. That kind of range inside a single problem space is difficult to fake and harder to hire.

Ways to build with us

Pick the outcome you're after. No fixed price tags — every engagement is scoped to your project on a quick call.

Launch a new idea, fast

Mini-Site

An SEO-optimized content site with a strong foundation.

Home page plus a handful of pages (product, about, contact)
Branded, responsive design on our production stack
Lead-capture form wired to your database
Full SEO: OpenGraph, JSON-LD schema, sitemap & RSS built in
Deployed and live on fast, global hosting

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Mini-Site + Content Engine

Six months of SEO content to build real domain authority.

Everything in Mini-Site
6 months of SEO blog content via our content engine
FAQ schema, tags, OG images & table of contents per article
Article JSON-LD, RSS feed & sitemap inclusion
Internal linking that compounds topical authority over time

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Build a real product

Custom Web App

A functional application — start where it makes sense and climb.

1POC
Proof-of-concept demonstrating the core value proposition — a working demo that proves the idea.
2MVP
Minimum viable product with a functional app built out — launchable for real users.
3Scalable
Architecture hardened and infrastructure readied so the product can actually scale.

Start this project

Already have a site?

We modernize and rebuild existing sites and apps, too.

Redesign my site

What we build with

A modern, production-proven stack

Next.jsReactTypeScriptTailwind CSSFirebaseMDXPostHogClaudeGrokFirecrawlMCP

The seven apps above are our strongest, but the portfolio runs to 43 concepts in all — mini-sites, proofs of concept, and working products, every one of them built on this stack. Browse all 43

Start your project

Tell us what you want to build. Pick the closest package — we'll scope the details with you. No fixed price tags; every engagement is quoted to fit your project.

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We usually reply within one business day.

Ready to build?

Send us your project or grab a time — whichever's easier. Let's turn your idea into something real.

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