Find out why your app gets signups but no sales

I'm a builder. I've been consulting for 26+ years, and I'll still be here tomorrow when you need me.

People sign up and nobody pays. Usually the cause is one step: the card is asked for too early, the checkout doesn't complete, or the offer appears before the user has seen anything worth paying for. You can't fix it until you know which step.

I run several SaaS products of my own and go through these numbers on them every week. You get a plain answer: this is the step, this is how many people you lose there, and this is the change to make.

Pick a tier

Starter

$400

3 days delivery · 1 revision

A written report: I go through your app as a new user and through your Stripe and signup numbers, and tell you the step where you lose the most buyers and what to change first

Standard

$1,200

7 days delivery · 2 revisions

The report, plus I add the missing tracking to your app: every step from landing to purchase, which traffic source each buyer came from, and which button opened each checkout. You get a one-page report you can re-run any time

Advanced

$2,500

12 days delivery · 2 revisions

Everything in Standard, plus I build the top 3 fixes from the report. Typical fixes: move the payment step, switch to Stripe hosted Checkout, add a one-time purchase, add an abandoned-checkout email

What I need from you

A login to your app
Stripe read access as a team member (never your login)
Last 30 days of signups and sales, if known
Repo access for Standard and Advanced

What working with me looks like

One person owns the whole job: architecture, code, payments, launch and support. No handoffs.
Everything happens in writing: a clear brief up front, written progress updates, and a written explanation of what changed and why.
Fixed prices per tier. You know the cost before work starts.
I work on your code, not your data.

Proof you can click

ION7

AI app builder. Its agent and app deployment run entirely on Cloudflare Workers, with a D1 database per app.

GridRocket

Cloud machines for AI agents, up in about 90 seconds.

Results at scale

1+ billion AI images delivered, all served from Cloudflare R2
320,000+ fine-tuned DreamBooth models
180,000+ Flux LoRAs
85+ million Stable Diffusion / Flux images
300+ million AI operations (face swap, upscaling, tagging), career total
20,000+ GPU hours on NVIDIA A100s, career total
160+ million social media users reached
120+ million game players reached; 10+ million Android game downloads
4+ million developers reached (Embarcadero Dev-C++)
200,000+ automated social media posts
2,000+ Suno AI songs
2,000+ blog posts orchestrated (65+ contractors); 800+ written
Top Rated Plus, 100% Job Success on Upwork