I'm Tirth Shah — a developer by mind, a GTM operator by heart. I run products + GTM systems at Helply, advise growth at Mazic, and built Ghostleads because I was tired of paying Apollo $948/year for data that should cost cents.
Between my day job at Helply, my advisory work at Mazic, and the side experiments I run for fun, I'm constantly pulling B2B contact lists. Apollo. Sales Nav. LinkedIn scrapers. The usual stack.
Every one of them charges like enterprise software for what is, fundamentally, a CSV. Apollo wants $79/seat/month with a 1,200-record cap and a one-year commitment. Multiply that by three teammates and you've spent $2,844/year to pull data you could buy from the underlying providers for a few cents per row.
I'd already done the math too many times. And for the companies I work with, I'd already built most of the pipeline — weeks of working directly with the underlying data providers, reverse-engineering how they assemble their datasets, where each one is strong, where each one leaks. The kind of sneak-peek into their systems you only get when you actually need the data to work in production.
Ghostleads is that engine, lifted out of internal use and shipped as a product. LeadMagic and MillionsVerifier for the email verification layer. A custom Apollo pipeline I'd already battle-tested across multiple GTM motions. Then a friend asked to use it. Then another. Then I bought a domain.
That's Ghostleads. Same data as the $948/year tool. $2 per 1,000. No subscription. No seat math. No reminder emails about renewing.
Most B2B products don't die because the product is bad. They die because nobody ever found them. Distribution is the moat. Everything else is a feature.
The bottleneck moved. The companies that win in the AI era won't be the ones with the prettiest products — they'll be the ones with the sharpest GTM systems bolted under them.
AI made shipping software trivial. It did not fix sales. Most B2B companies die from lack of distribution, not lack of features. The leverage is in the GTM system, not the next prettier dashboard.
I write the SQL. I run the experiments. I read every reply. When the GTM stack is one person who knows both sides, the loop closes in hours instead of quarters.
Sales tooling is one of the most over-priced categories in software. Most of what you pay for is account managers, not product. Ghostleads is the proof that you can rip the margin out and still ship something better.
Each role feeds the next. The experiments I run at Helply inform what I advise at Mazic. The friction I hit in both is what I solve in Ghostleads.
Owning the loop between what we ship and how we sell it. Building the systems that turn cold traffic into qualified pipeline.
Helping the team design outbound experiments, sharpen ICP, and instrument the funnel so growth compounds instead of burns.
Built this because I needed it. Apollo charges $948/year per seat for data that should cost cents. I wrote the cheaper version.
The unfair advantage of being a developer who runs growth: I don't have to wait on anyone. When an experiment needs a new endpoint, I write it. When the dashboard is missing a metric, I add the column. When AI can replace 3 hours of manual research, I wire it up by lunch.
Most growth teams ship one experiment a week. With AI handling the grunt work and a tight feedback loop between code and copy, I ship one a day. The output shows up in booked demos — which is the only number that actually matters.
Ghostleads is built the same way I run growth: automation-heavy, cheap on the unit economics, and free of the bullshit that makes enterprise tools slow.
I built most of this from the road. The product runs from Supabase + a handful of worker processes — the only things I need are a laptop and a power outlet. That's the whole point. If you architect the GTM stack right, it shouldn't matter whether you're in a co-working space or watching a sunrise over the Himalayas.









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