Building a $1.7M/yr tech-enabled consultancy by productizing a repeatable 2-week service

The distribution first point is the most honest advice in this post.

Most founders I talk to do the opposite — build for months, then panic about marketing.

Quick question Anthony: before the LinkedIn audience existed, how did you land your first 3 clients? Pure cold outreach or something else?

YOU ARE ON ANOTHER LEVEL, BRO

Offering sprints with three pricing tiers based on company size, I am surprised I have never heard of that pricing model. It makes sense.

A thorough article, it covered many of the things I had questions about.

How did you build your audience and distribution?

this is such an underrated path — productizing a service instead of jumping straight into SaaS

i’m currently building small tools and starting to see the same pattern: what starts as a one-off solution can turn into something repeatable pretty quickly

curious — how did you figure out what part of your service was actually “productizable”?

Ngl this some crazy information

this works because the problem is tightly scoped
and the output is clearly defined

most services struggle because they’re too open-ended
this one is easy to understand, easy to buy, and easy to deliver

best information

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The positioning insight about churches and bands applying the same strategies as B2B software startups is something most people would dismiss but it is actually the sharpest observation in this whole post. A niche audience that genuinely connects with you beats a broad audience that barely notices you — whether you are a SaaS company or a band trying to hit 1M streams.

The 40% fixed price model is interesting too. Most consultancies resist productizing because they think every client is unique. But you found that the problem is actually the same across 500+ companies — lack of focus on a target market. Once the problem is consistent the solution can be consistent. That is the unlock.

Curious about the transition from founder-led to company-led selling. At what point did you feel confident enough in the process to hand it to external consultants without the quality dropping? That seems like the hardest part of scaling any consultancy.

great work

This is solid. Productized offer + distribution first is the real takeaway. Most people build first and then struggle to sell. You did the opposite and it shows in the numbers. Also like how tight the offer is, easy to understand, easy to buy.

The productized offer model is so underrated. I run a marketing agency and we went through a similar evolution — started doing fully custom projects for anyone who would pay, then slowly narrowed down to a specific niche and repeatable deliverables. The difference in margins and sanity is night and day.

The founder-led challenge really hits home too. When clients are buying YOU and not the company, scaling becomes a ceiling. We've been working through this same thing — building systems and processes that can run without me being in every meeting. It's uncomfortable to let go but necessary if you want the business to outlive your personal bandwidth.

The "focus on distribution first" advice is gold. LinkedIn organic was our main channel too and it compounds like crazy once you crack the content formula for your niche. The early grind of posting with no engagement is brutal but worth pushing through.

Credit to the founder! Simple Solutions for Real Problems will create a winner near everytime. When it's win-win for everyone involved on business side and client side, that's when you are in the pocket.

The "distribution first" advice hits different when you're on the other side of it.

I launched DocReplacer this week and made the classic mistake — built first,

then figured out distribution. Watching you describe building LinkedIn audience

before the product is basically reading my mistake in reverse.

Quick question: In the early days before the LinkedIn audience existed,

how did you get your first 5-10 clients? Pure cold outreach, or something else?

This is a great example of how productizing a service creates scale. Most founders struggle because their MVP and service delivery aren’t structured or repeatable. We've been seeing the same pattern while working on structured build workflows at FoundersBar especially around turning services into systems.

Great breakdown of how a repeatable, productized service model can scale a consultancy into a high-revenue business.

Really interesting to see how focusing on one clear niche + fixed 2-week delivery system creates both operational efficiency and strong positioning. The emphasis on distribution first and building internal tools also stands out as a key growth lever.

This is a solid example of how service businesses can evolve into scalable, tech-enabled models without becoming full SaaS right away.

the "fixed scope, fixed price" model only works because positioning is a discovery output, not an implementation output. For most B2B services (engineering, GTM execution), the 2-week sprint becomes a meeting where you tell the client what they should do and they still need to do it. Curious you handl clients who say "ok now build it for us."

"I’m building a tool for a specific niche (STEM students). Do you think it’s better to launch on Product Hunt immediately, or should I focus on 'niche' communities like Reddit or Discord first?"

The “distribution first, then product” point really stands out. The 2-week sprint works because it is clear, repeatable, and easy for clients to understand. It feels less like open-ended consulting and more like a product with a fixed outcome.
I’m curious: what was the hardest part of turning founder knowledge into a process other people could deliver?

The internal Lovable sprint management app stood out to me more than the revenue numbers. Most consultancies treat their delivery process as tribal knowledge — it lives in the founders' heads and doesn't survive hiring. Building it into a custom tool that enforces the daily task structure is essentially turning a service into a product, which is the whole point.

I'm doing something similar on the editorial side — building internal tooling before I have significant volume, specifically because I want the quality to be consistent when volume arrives rather than trying to retrofit systems after things get chaotic.

One thing I'm curious about: when you transitioned parts of the sprint delivery to contractors, did the Lovable app reduce onboarding time meaningfully? Or did the tool reflect your process so specifically that new people still needed significant hand-holding to understand the "why" behind each step?

It’s fascinating how you’ve turned "bad employee" energy into a $2M positioning powerhouse and that 130k Spotify monthly listener flex is the ultimate proof that good positioning works everywhere! Moving from a broad agency to a "productized" 2-week sprint is such a classic win for scalability, especially when you've already cracked the distribution code on LinkedIn.

Using Lovable to build custom internal apps for your specific workflow is a brilliant way to protect your margins while scaling. It sounds like you're essentially building a "Fletch OS" to make sure the quality stays high even as you and your co-founder step back from the day-to-day sprints.

Since you're scaling back your personal involvement, what’s been the hardest part of "trusting the process" when someone else is leading a $30k sprint?

Building custom internal apps with Lovable is such a smart move for a consultancy. It turns a service into a scalable asset.

I'm curious though, as you automate more with LLMs through these apps, have you found the API/compute costs easy to track? I see a lot of founders starting with these tools and then hitting a 'compute wall' where they need to optimize their backend to keep those 20k− 30k margins high.

Great to see a PMM team taking the 'tech-enabled' path so seriously!

This hit close to home. I run Icon Labs — same productized model but for AI engineering: 2-week sprints that take a founder's Bolt/Cursor prototype and make it production-ready.

The "distribution first" line is the one most people skip. We almost did too.

One thing that's been huge for us: the 2-week constraint isn't just a delivery tool — it's a sales tool. "Fixed scope, fixed price, fixed timeline" removes 80% of the buying friction for technical projects. Clients who've been burned by open-ended dev contracts sign faster because the risk is capped.

The tiering by company size is smart. We tier by problem stage instead — Stack Audit ($1.5K) for founders with API cost blowouts, Production Sprint ($3.5K) for prototypes that need to survive real users, Fractional AI CTO ($2.5K/mo) for teams that need ongoing coverage without a $150K hire.

Curious if anyone here has successfully introduced a recurring retainer layer on top of one-shot sprints. That transition from transactional to recurring feels like the hardest part of this model.

Nice

Echoing what others are saying- “distribution first” stuck with me. But building trust organically takes time. I think way more than 9 months for most folks. I’d be interested to hear from folks who were able to take a similar route starting with a few hundreds of followers on a platform.

Also, the amount of AI slop on all the platforms right now makes it harder to build something organically starting now vs 10 years ago.

Anyone having real success growing your social media presence well starting fairly recently? How many followers/engagement do you need to launch a product to them?

Love how you turned a niche idea into a repeatable service. The distribution-first approach is brilliant letting the market guide the product. I want to know that how your team keeps the consistency in voice as you scale

The “distribution first, then product” part really stands out — especially now when everyone can build fast with AI.

What I found interesting is how the 2-week sprint acts as both a delivery constraint and a positioning tool. It forces clarity not just for the client, but also internally for your team — which probably made it easier to standardize and scale later.

I’m currently working with React/Node projects, and I’ve noticed the same pattern on a smaller scale: the more defined the scope (fixed timeline + clear output), the easier it is to deliver consistently and even upsell.

Curious — when you were early on, did you ever struggle with clients asking for “just one extra thing” outside the sprint scope? How did you enforce boundaries without hurting client relationships?

yeah that very informative

The "audience came first, then the product" line is the part of this I keep re-reading. From my own indie side project — I'm building a Captio-style iOS memo app aimed at ex-Captio users who never found a clean replacement — distribution-first didn't mean "post on LinkedIn" so much as letting the audience name the scope. My earliest users named features I'd already built (just badly) and named the use case better than I could in my own homepage copy. Productizing a 2-week sprint feels like the same lock-in mechanism: the constraint forces clarity. I'd love to compare notes with anyone here who has run a "second niche" fanout from a tight first one. Question for Anthony — when you stopped selling discovery hours and only sold the 2-week sprint, was there a specific signal that told you the niche was tight enough to hard-package?

very informative nice ...!!!

🎯 1. Do the Math First (Revenue Model)

Target: $1.7M/year

You need a simple, repeatable unit:

• Price per engagement: $8K – $15K

• Example: $10K per 2-week sprint

👉 $1.7M ÷ $10K = 170 sprints/year

That’s:

• ~14 sprints/month

• ~3–4 sprints/week

So you’ll need a small delivery team + parallel execution, not just yourself.

🧩 2. Define a Productized Offer (This Is Everything)

Your offer must be:

• Outcome-driven

• Time-bound (2 weeks)

• Clearly scoped

Strong examples:

• “SEO Lead Generation Sprint (14 days → 20 qualified leads setup)”

• “ISO Certification Readiness Audit (2 weeks → compliance roadmap)” (fits your domain)

• “Website Conversion Optimization Sprint (2 weeks → +X% conversion fixes implemented)*

👉 Avoid vague offers like “digital consulting” or “strategy session”

⚙️ 3. Build a Repeatable Delivery System

Think like a product, not a service.

Week 1:

• Audit / data collection

• Diagnosis using templates

• Internal analysis

Week 2:

• Implementation OR action plan

• Final report + call

• Hand-off assets

Use:

• SOPs (standard operating procedures)

• Templates (reports, audits, dashboards)

• Checklists

👉 Goal: deliver the same output quality every time with less thinking

Anthony, this is a masterclass in productized services. The $10k/$20k/$30k tiering based on company size is brilliant — it removes the "custom SOW" friction that kills most consultancies while still capturing value from larger clients.

What really stood out: "We first built distribution: The audience came first, then the product we sell." This is the exact opposite of what most indie hackers do (build first, market later). Your LinkedIn audience became your validation engine — you felt the pull toward positioning and homepages because your audience told you, not because you guessed.

One thing I'm curious about: as you transition from founder-led to company-led, are you finding that your contractors' LinkedIn voices can authentically replicate what made your content work? Or are you building a separate "company voice" that doesn't depend on individual personalities? I've seen founder-led brands struggle with this handoff — the audience often follows the person, not the brand.

Also, using Lovable to build your sprint management app is a great example of "eating your own dog food" with AI tools. How has that changed your client delivery speed?

Great story. Bookmarked for sure.