GreatInsights
LiveTopic radar and content engine. Watches nine source types and turns findings into posts, newsletters, scripts, images, and video.
Phase 01 · Discover
Escape Velocity LLC — a SaaS portfolio
One portfolio.
One system.
We build SaaS products that compound each other: a pipeline that runs signal to revenue, and standalone products that run on it. Open to investors as equity, as a whole, or one product at a time.
Six phases, signal to revenue · every product separable.
The portfolio
Two kinds of product.
Pipeline products each own one phase of building and selling software, and are sold on their own to SaaS founders running the same loop. Standalone products serve their own markets and run on the pipeline. Each has its own domain, codebase, and infrastructure; live products link out. The portfolio keeps growing.
The pipeline — signal to revenue
Queuena
LiveQ&A on any surface. A QR code on a slide, a package, or a sign lets any audience ask anything — and every question is a demand signal.
Phase 01 · Discover
OrgDo
In buildAgent-native project management. Knowledge, workflows, and actions live in one signed graph that humans and AI agents operate as peers.
Phase 02 · Define
HarnessOne
In buildOrchestration for AI coding agents. One engine drives vendor CLIs and APIs, with builders and verifiers kept in separate model families.
Phase 03 · Build
MuchFaster
In buildDistribution as a closed loop. Brand-fitted creative at volume, paid channels, and first-party attribution that reallocates budget toward what converts.
Phase 04 · Distribute
FirstMile
In buildOnboarding that writes itself. Tours, checklists, and empty states generated from the product’s own docs and flows, measured by time to first value.
Phase 04 · Distribute
Trxs
In buildAgent-native billing. Cards and crypto on one billing identity — where Stripe is built for humans, Trxs is built for agents.
Phase 05 · Charge
GreatFeedback
LiveThe feedback layer for digital products. Sixty AI reviewer personas score work against rubrics; an embeddable widget collects reactions from real visitors.
Phase 06 · Iterate
Versions
In buildWhole-site A/B/n testing at the edge. Serves each visitor one version, flicker-free, and reports per-version metrics with honest statistics.
Phase 06 · Iterate
GreatSupport
In buildDrop-in AI support desk. Answers drawn from the product’s own docs and behavior; every conversation becomes roadmap signal.
Phase 06 · Iterate
Standalone — run on the pipeline
Izer
LiveSlide decks as URLs. Author in the browser, edit in place, share one link — no files, no exports.
Standalone · knowledge work
Revws
LiveReviews as a service. A drop-in widget and API that put threaded reviews and reactions inside any SaaS product.
Standalone · SaaS builders
Attest
In buildTrust as a product surface. Security pages, compliance evidence, and questionnaire answers assembled from your own docs and code — humans sign, Attest assembles.
Standalone · SaaS builders
Resi
In buildProperty management for residential buildings, condos, and HOAs. Spanish-first, built for the Mexican market.
Standalone · residential, Mexico
CVEST
In buildCrypto options portfolio management plus an auto-trading engine for OKX and Deribit — for enterprises and retail.
Standalone · trading
Spotter
In buildMobile-first strength coaching. Record a set with your phone and get rep-by-rep form feedback on machine, cable, and Olympic lifts.
Standalone · fitness
DryRun
In buildRehearsal for talks. Record a run-through on your phone and get feedback on pacing, filler words, and structure — timed against your slides.
Standalone · speaking
The system
Products compound each other.
Each pipeline product owns one phase and feeds the next: better discovery sharpens the spec, gated builds ship customer-ready, distribution learns from live experiments, and feedback flows straight back into the roadmap. The standalone products are the pipeline’s first customers — proof before any phase is sold outward.
01 — Discover
GreatInsights + Queuena
greatinsights.ai · queuena.com
Signal → qualified opportunity. Demand is reality-checked before it becomes work.
02 — Define
OrgDo
orgdo.ai
Opportunity → buildable spec. Knowledge, workflows, and actions in one graph.
03 — Build
HarnessOne
harness.one
Spec → shippable product. Agents build; a separate model family verifies.
04 — Distribute
MuchFaster + FirstMile
muchfaster.ai
Product → purchase. Creative, paid, SEO, and onboarding as one self-correcting loop.
05 — Charge
Trxs
trxs.co
Purchase → revenue. Cards and crypto on one billing identity.
06 — Iterate
GreatFeedback + Versions + GreatSupport
greatfeedback.ai · versions.co
Feedback → improved product. Reviews, experiments, and tickets feed phase 01.
- Izer ↔ Revws — every published deck carries threaded comments through the Revws widget, wired in so Izer never builds its own comment system.
- MuchFaster ↔ GreatInsights — specced to share one findings API, so paid campaigns chase the same demand the content radar already qualified.
- Trxs ↔ every product — specced as the single billing rail across cards and crypto, built once instead of rebuilt per product.
- OrgDo ↔ HarnessOne — OrgDo plans the work, HarnessOne executes it, over one contract with either side replaceable.
- MuchFaster ↔ GreatFeedback — campaign creative passes persona review before spend, so weak creative costs a review, not a media budget.
- MuchFaster ↔ Versions — campaigns are designed to land on edge-served experiments, closing distribution and testing into one attribution loop.
- Queuena ↔ GreatInsights — questions collected on any surface flow back as demand signal for the radar to qualify.
- GreatSupport ↔ OrgDo — support conversations become items in the work graph, so tickets turn into roadmap without translation.
- FirstMile ↔ Versions — onboarding flows ship as edge-served experiments, so activation is measured, not assumed.
- Attest ↔ GreatSupport — one doc-driven answer engine, two surfaces: one answers customers, the other answers auditors.
- DryRun ↔ Izer — a talk is rehearsed against the deck it presents, so delivery feedback lands beside the slides it belongs to.
- DryRun ↔ Queuena — the same talk carries one QR from practice to stage: rehearsal ends, live audience Q&A opens.
The operator
Built by the team behind ML LABS.
Escape Velocity is run by the same people who operate ML LABS, an applied-AI services company. ML LABS is the portfolio’s first customer — every product earns its keep in real operating work before it is sold outward. That keeps the software honest and the burn low.
- Entity Escape Velocity LLC
- Funding Self-funded to date
- Pipeline Six phases, signal to revenue
- Separability Own domain, codebase, and infrastructure per product
- First customer ML LABS — the products run its operations
Ways in
Three ways in.
Self-funded to date; not running a banked process. We answer serious mail directly.
Equity
Invest in the portfolio
Take a position in Escape Velocity LLC and hold exposure to every product, the pipeline that connects them, and the ones still to come.
Start the conversationAcquisition
Acquire the whole
One entity, the full portfolio, and the pipeline that builds and distributes it. The system transfers with the products.
Start the conversationCarve-out
Acquire one product
Every product stands alone: its own domain, codebase, infrastructure, and data. Carve-outs are clean by construction.
Start the conversation