Jul 15, 2026 · by Oleksii Sekundant · View source

SonOf

Empty your backlog. Pay only when it ships

SonOf

Editorial analysis

Why Every Cross-Border Seller Should Care About a Pricing Model That Only Charges When Code Ships

If you’ve ever paid a freelancer or agency to build a custom Shopify app, an Amazon PPC dashboard, or a warehouse integration script, you already know the sinking feeling. The timeline slips. The scope creeps. The invoice arrives before the feature works. And the code—assuming it ever lands—lives in a repository you can’t read, maintained by someone you can’t replace. That’s the status quo. Now imagine flipping the risk: you approve a ticket at a fixed price, review the work on a staging environment, and pay only when that code reaches production. No progress billing. No “it depends.” No wasted spend. That’s exactly what the team behind SonOf—a product born out of 100+ shipped projects at dev studio Fulcrum—is offering. And for cross-border operators who burn tens of thousands on tech that never ships, this model deserves more than a glance. It deserves a test.

What Problem SonOf Actually Solves

The maker, Oleksii Sekundant, puts it bluntly: “unfinished work is money that never capitalizes.” Half-built features, slipping roadmaps, abandoned prototypes—pure spend, zero asset. Only code in production converts money into value. This is painfully true for e-commerce sellers who operate in a world where every custom tool is supposed to tighten margins, not widen them.

SonOf attacks that problem head-on by reading your entire product—repo, tickets, docs—as one context, then breaking the backlog into tickets with fixed prices at $500 per story point. You approve tickets one by one, in the order you choose. A senior engineer signs off on every plan and reviews every pull request. Payment triggers only when code reaches production. Rejected work costs $0.

For a non-technical founder running a multi-channel operation—say, a brand selling on Amazon and Shopify with a custom inventory reconciliation tool—this solves the single biggest headache: you can’t evaluate whether an engineer is competent, you can’t predict budgets, and you can’t see risks. SonOf’s model removes the need to judge those things. The incentive structure does the verification. If they estimate wrong, it’s their loss, not yours.

How It Differs from Existing Options

The e-commerce dev ecosystem typically offers three paths:

  1. Freelancers and agencies – You pay by the hour or by milestones. The most common outcome: budget overruns, unclear timelines, and a codebase you can’t maintain after the relationship ends. The maker cites freelance quotes of $4–16K per deliverable and agency quotes of $10–30K for the same scope, while SonOf lands at $1–5K. Whether those numbers hold for your specific project is debatable, but the principle is clear: fixed pricing tied to production removes the risk of paying for half-done work.

  2. AI coding tools like Lovable or Bolt – These promise rapid prototyping. But as Sekundant notes, founders “burn weeks and tokens—and rarely reach real production. Limitations show up. Slop shows up.” A seller might use Lovable to generate a refund automation script, then discover it fails on edge cases or can’t integrate with the existing Amazon API call pattern. You’re left with something that looks like progress but isn’t shippable.

  3. In-house hires – A senior developer costs $120K–$200K plus benefits and recruiting fees. For a lean cross-border team, that’s a heavy bet, especially if you only need a few weeks of custom work per quarter.

SonOf splits the difference: you get senior-level oversight and AI-assisted discovery, but you pay only for what lands. The free audit—connect your repo, see a map of your codebase and what’s broken—is itself a value add. How many sellers have inherited a spaghetti codebase from a former freelancer and have no idea where to even start?

Why Amazon Sellers Should Care More Than Shopify Ones

Shopify sellers can lean on the app ecosystem for most needs. If you need a custom discount logic, there’s likely an app for it. Amazon sellers, by contrast, often rely on a patchwork of Seller Central reports, third-party tools like Helium 10, and custom scripts that aggregate data across marketplaces. These bespoke integrations are brittle, rarely documented, and expensive to maintain. When they break during Prime Day, you lose revenue. SonOf’s “pay only when it ships” model is particularly suited for Amazon sellers who need a one-off dashboard or a refund automaton—projects that traditional agencies treat as too small, and that AI coding tools can’t reliably finish.

What Cross-Border Sellers Can Borrow from It

Even if you never hire SonOf, the launch surfaces three operational principles worth stealing.

First, demand fixed-price milestones before you approve any development work. Whether you use a traditional agency or an AI-assisted service, insist on a scope breakdown with per-ticket pricing. If the vendor can’t or won’t provide it, that’s a red flag. The ability to say “no” before the first line of code protects your budget.

Second, shift from progress billing to outcome billing. Most dev contracts charge you at 30%–50% upon signing, then again at “completion.” But completion rarely means production-ready. Negotiate to pay only when code is deployed to your live environment, with a staging review step where you can accept or reject the feature. Rejected work should cost $0. That aligns incentives exactly as SonOf describes: “rejected work costs $0” and “the exit is honest—cancel anytime and keep the audit.”

Third, use code audits as a decision tool. Even if you don’t contract SonOf, you can replicate the free audit by asking any prospective developer to perform a one-day codebase review for a flat $500 fee. The output—a map of technical debt, security gaps, and build-ready tickets—is worth far more than the cost. It gives you negotiating power and a clear list of what matters.

Where the Math Breaks

The $500 per story point model sounds simple, but story points are notoriously subjective. What a senior engineer calls one point might take an AI-assisted junior one day or three. SonOf’s pricing works only because they combine AI context ingestion with senior engineer oversight—that’s hard to replicate with a freelance shop. For a seller with a backlog of 50 small tickets (each maybe 0.5 points), the cost could quickly spiral. At $250 per tiny task, it may still beat agency pricing, but it’s not cheap.

More importantly, SonOf is a service, not a product you can plug into your stack. You can’t use it to automate daily operations like sending bulk refunds or syncing inventory. It’s best for discrete software projects: new features, integrations, or cleanup. If you need ongoing maintenance—weekly bug fixes, monthly feature releases—the fixed-price per ticket model becomes cumbersome. You’d be approving tickets multiple times a month, and every small change incurs the same overhead.

There’s also the question of scale. The maker says they’ve run roughly “10 client engagements” and converted two to ongoing customers. That’s a thin track record. The promise of “models keep getting better” is fine for a forward-looking thesis, but today, the senior engineer pipeline is the bottleneck. If SonOf grows, that review step could slow down.

My Judgment

SonOf is a genuinely differentiated offering in a sea of “AI writes your code” vaporware. The pricing model is the real innovation, not the technology. By putting the risk of estimation errors and incomplete work on the service provider, it solves a trust problem that has plagued software development for decades. For cross-border sellers with a specific, well-defined project—a custom Amazon repricing tool, a Shopify app that does something no existing app does, a back-end integration between your ERP and multiple marketplaces—it’s worth a test.

But I wouldn’t bet the farm on it yet. The cost per story point is opaque if you don’t understand how they define a point. The “free audit” is a lead-generation tool; you’ll give them access to your entire repo. That’s a security consideration. And the model works best for projects with clear acceptance criteria and a finite end date. If you need a partner for ongoing iteration, a retainer-based model with a trusted developer might still be more practical.

Still, the philosophical shift is what matters. Every cross-border operator should start asking: How can I structure my tech spend so that I only pay when value is delivered? That question, once internalized, changes how you evaluate every vendor.

What I’d Watch / Test Next

If you’re intrigued, here’s a concrete plan for this week:

  1. Run the free audit on your most painful codebase—the custom Amazon reporting tool or the inventory bridge that no one touches for fear of breaking. You’ll get a map of what’s broken and what’s ready to build. Even if you never hire SonOf, that knowledge alone is worth the time.

  2. Pilot a single ticket under $2K—something like “add a CSV export button to the Shopify net profit dashboard.” See how the fixed-price process feels, how fast they turn around, and whether the senior engineer review actually catches edge cases. Measure the outcome against what a freelancer would charge.

  3. Watch for imitators. If SonOf proves sticky, expect agencies and platforms like Toptal or Upwork to experiment with outcome-based pricing. That’s when the real shift happens.

  4. Evaluate your own vendor contracts. Even if you don’t switch, go to your current developer and say: “I want to move to a model where I pay only for code that reaches production, with a fixed price per ticket, and rejected work costs nothing.” See how they react. Their response will tell you everything about how aligned your incentives really are.

The best result of this launch isn’t a new tool—it’s the question it forces you to ask about your own tech spend. Answer it honestly, and you might find hundreds of thousands of dollars in wasted dev effort that can be redirected toward something that actually ships.

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