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The first growth machine is usually hand-built

Early growth often starts with awkward manual work: filling blank states, writing the useful post, narrowing the list, and using real signals before you automate anything.

Published 2026-05-24 early traction operator-led distribution SaaS creator tools SEO outbound
Ian Goh Updated 2026-05-24 5 linked tactics 5 sources
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Founders like to talk about building a growth machine. Fair enough. The trouble is that the first useful version rarely looks like a machine. It usually looks like somebody doing the work by hand.

A founder fills the first empty account so the product does not feel dead. Someone writes the one honest post that earns links while the product page cannot. The outbound list gets cut from thousands to twenty because twenty can still be treated like people.

Blank screens kill more demand than ugly workflows

Buffer Analyze is a good reminder that activation is often embarrassingly manual before it becomes elegant. Tom Redman described a manual empty-state concierge onboarding phase where the team created reports on users' behalf so they would not land in an empty product.

That is not a hack in the pejorative sense. It is simply refusing to make the user do all the imagination. A blank state asks for faith. A populated one asks for a judgment. Early growth gets easier when the user can react to something real.

The useful post can carry the commercial pages

Kapwing's early story is still one of my favorite SEO lessons because it did not begin with some grand topical authority plan. It began with a sharp builder writeup. The startup-learning post backlink wedge worked because people were willing to link to a specific lesson about the product's payment flow.

That is the part teams often miss. The page that earns links and the page that converts do not have to be the same page. One can do the carrying for the other if it lives on the same domain and says something worth citing.

Make the free experience do two jobs

VEED had very little runway and no reason to wait for a perfect funnel. What it had was a product people could use quickly. The watermarked no-signup free tier loop let users get the result before they created an account, while the watermark turned free usage into distribution and the removal upgrade turned delight into revenue.

I like this because it forces honesty about what the product is for. If the free use is satisfying enough to spread but incomplete enough to upgrade from, the product is already teaching you where the line belongs.

A tiny target list makes better founders

The same logic shows up in outbound. Chris Bakke's 20-account creative prospecting sprint is really an argument against fake scale. A list of 7,000 leads makes it easy to hide behind tooling. A list of 20 forces you to ask what would actually get a reply from this company.

That is also why the job-post signal email opener is useful. It starts with something current and verifiable instead of pretending every prospect woke up hoping for your pitch. One company is hiring. One role is open. One sentence from the job spec gives you the bridge.

Where this matters

For SaaS, build the first onboarding by hand if the alternative is an empty app and a lost user. For creator tools, let the free output advertise the product while teaching users why the paid version exists. For SEO-heavy products, publish the builder story that people actually want to cite. For outbound, trade fake personalization at scale for a much smaller list with much better reasons to care.

The mistake is thinking manual work is the opposite of a system. Often it is the draft of the system. If a hand-built version keeps producing signups, replies, upgrades, or links, then you have earned the right to automate it. Before that, automation is usually just a faster way to stay vague.

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GrowthDex starts with tactics that founders, marketers, and product teams have actually tried. Each essay turns the evidence into a practical move you can test without pretending one case study is a guarantee.

Ian Goh has helped grow consumer platforms across Southeast Asia, India, and MENA. His work includes scaling Tiki to 100M+ users, doubling BIGO's MENA revenue in 7 months, and increasing OYO's direct booking share across 6 Southeast Asian markets.

Editing notes

Want a growth system instead of loose tactics?

Ian works with founders on growth, market entry, creator economy loops, and operator-led distribution.

Work with Ian on growth advisory