- 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 runs live probes against ChatGPT, Grok, Google AI, and Gemini, then shows an agent the actual transcript of what each engine said about them — not a grade, the words. Weekly re-probes track which engines start citing them.
- How it works
- The fix is structural, not cosmetic. We deploy the machine-readable version of the agent — closings, service areas, hyperlocal knowledge pins — as Schema.org JSON-LD at a crawlable URL, so the engines finally have something parseable to cite.
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.
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.
- 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, KML, GeoJSON, or Excel file of any shape. RSMaps auto-detects the schema, geocodes the addresses, enriches with Census demographics, POIs, flood zones, and walk scores, then scores comparables across every dimension it found.
- How it works
- The whole toolset — geocoding, comp scoring, area insights, workspace queries — is exposed over MCP, so Claude, GPT, or a custom agent can call it directly and reason about the real world. We built it for agents to use, not just people.
- 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 scans over 5,000 equities daily for momentum breakouts and breakdowns, then issues structured trade plans — trigger, entry, stop, targets, timing — that a trader can open a chat with and pressure-test line by line.
- How it works
- Multiple agents take opposing bull and bear positions, argue them against RAG-backed playbooks, and surface a consensus confidence instead of a lone verdict. The disagreement is the product.
Four more, all live
oneresume.ai
Tailors a résumé to a specific posting off one master profile, then scores it against the same ATS parsers big recruiters run — before you submit, not after the rejection.
See it liveoptionscout.ai
Flags unusual options flow — sweeps, blocks, gamma flips — filtered at ≥2σ over a 30-day baseline, then translates intent into a plan with strikes, sizing, and invalidation levels.
See it livetradeplanner.ai
Auto-logs trades from 30+ brokers via SnapTrade and flags the behavioral tells — tilt, revenge trading, impulse sizing — that quietly erase an edge.
See it livenewshacker.ai
Turns one URL into six platform-shaped outputs — X post, thread, LinkedIn, Facebook, blog draft, images — off an aggregated feed of Google News, Bing, and Finnhub data.
See it liveThree of these seven are trading products. That isn't repetition — it's depth. A behavioral journal, a real-time flow scanner, and a multi-agent 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
Grow traffic on autopilot
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
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.
Already have a site?
We modernize and rebuild existing sites and apps, too.
What we build with
A modern, production-proven stack
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.
Prefer to talk it through?Book a 30-minute call →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.