Strategy
Is your price right?
Will they stay on your page - or leave?
Who's actually going to buy?
Why would buyers pick you over the alternatives?
Reach
Which channels are your buyers actually on?
Will they reply - or hit delete?
A note from the founder
The entire GTM motion is a six-month guessing game.
Nobody says this out loud.
You pick a price because it feels right. Write copy that sounds good to you. Pick a channel, spend money, wait. Look at the numbers weeks later and still can't tell what moved. And it's not just pricing - it's messaging, positioning, audience targeting, ad creative, outreach. The entire GTM motion runs on the same broken loop.
The advice is always "talk to customers." I've done that. It takes weeks to set up. People are too polite to say the real thing. You walk away with eight opinions that contradict each other. So you go back to guessing.
Then I found MiroFish on X. A system that ran swarms of AI agents through scenarios - accurate enough that traders were using it for real bets on Polymarkets. Not a demo. Real money.
If you can simulate a prediction market, you can simulate a buyer market.
So I built it. A world of synthetic ICP agents that react to your pricing, your messaging, your ad creative - before you spend anything. Not encouraging. Not polite. The honest reaction your real buyer would have.
Before shipping I tested it against real products with known outcomes.
Ran ChatGPT Plus pricing across every point from $5 to $30. The analysis called $20-$25 optimal. That's exactly what OpenAI charges. At $30 it flagged a drop-off. OpenAI has never gone to $30.
Then I tested ChatGPT Go - OpenAI's India launch. The analysis pointed to ₹399 as the right price, not ₹299 - even though ₹299 had the highest approval rating. Highest approval isn't the right price. ₹399 generates more revenue per user. OpenAI launched at ₹399.
That was enough. I shipped.
Then I ran my own cold email through it. Subject line scored 95% predicted open rate. Body scored 0% replies. One line was killing 74% of emails before they were read. Changed the line. Re-ran. Reply prediction went from 0% to 34%.
Pricing was the first proof. The same engine now runs across every GTM decision - messaging, positioning, audience, channels, outreach, ad creative. Seven products. One analysis engine. Every call you'd otherwise spend months guessing at, tested in ten minutes.
Right now I'm giving the first 50 users the first month free. I want real founders running real GTM questions through this and telling me where it breaks. What surprised you. What it got completely wrong.
That feedback is worth more to me than revenue right now.
— Mohammed Ali Chherawalla (Mac)
Questions or feedback? mac@wednesday.is