Caius Seemann

Optimizing Marketing with Reinforcement Learning Engines

Your cold email campaigns send your best and worst emails equally. I built something that fixes that.

Apex Overlay sits on top of Instantly.ai and automatically shifts sends toward whichever email version is getting replies. No manual A/B testing, no checking dashboards, no guessing.

First beta campaign: best email earned 96% of sends by day 12. 14% more replies on day one.

Free for 3 months, no card needed — app.apexscale.live

Results from live campaigns: apex-scale.com/results

Apex Overlay

Cold email campaigns split sends equally — your best email gets the same volume as your worst.

Apex Overlay fixes that. It connects to Instantly.ai and continuously increases send probability toward whichever email is getting real replies, starting from day one.

No waiting for A/B test results, no manual switching. The system updates in real time with every reply, click, and open — filtering out bot activity so decisions are based on real human engagement.
First beta campaign saw 96% of sends on the winning email by day 12, 14% more replies on day one. Free for 3 months, no card needed.

Apex Overlay
Automated Email A/B Testing
$0

How Slow A/B Testing Costs You 18–32% of Potential Replies

I've been running cold email campaigns since I was 16. One thing always bugged me: you set up 3 email versions, one of them is clearly better, and your sending tool just... keeps splitting equally across all three. By the time you check and manually kill the loser, hundreds of leads have already seen your worst copy.

So I decided to quantify how expensive that actually is.

How Slow A/B Testing Costs You 18–32% of Potential Repliesapex-scale.com

Recent activity

Growing to an 8-figure ARR in three years with savings-based pricing

Building, failing, rebuilding, and then hitting $30k MRR in a year

Staying close to customers and hitting $16k/mo

What Actually Works in B2B Lead Generation: Strategies I Use in 2026

The cold email problem nobody talks about

I built a tool because A/B testing cold email is broken — here's what happened when we tested it

I built a thing because cold email A/B testing is honestly broken