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Make your tools talk to each other, reliably.

I build integrations between the systems your business runs on. They handle the edge cases most connectors ignore, such as rate limits, retries, duplicates and partial failures, and they tell you when something breaks.

API Integrations, part of Web & SaaS

Sound familiar?

  • Data is copied between systems by hand, and nobody trusts which one is right.
  • A Zapier or Make flow works most of the time but fails silently on the important records.
  • A vendor API has rate limits, pagination and quirks your team doesn't have time to learn.
  • You need a system with no API connected, and you've been told it's impossible.

Who it's built for

  • Businesses running 5+ SaaS tools that don't share data
  • SaaS companies needing integrations their customers keep asking for
  • Operators connecting channel managers, PMSs, CRMs, ERPs and accounting software

See how it fits property managers, b2b saas companies, e-commerce & dtc brands and freight brokers & logistics.

Built by someone who ships

I build and run production software myself, from pricing engines to automation platforms. Your build gets the same care: tested before real customers touch it, monitored after.

Integrations fail at the edges

Connecting two APIs is easy in a demo. Production is different:

  • the vendor rate-limits you halfway through a sync
  • a webhook arrives twice
  • a record exists in one system but not the other
  • a field changes format without warning

Most integrations that “mostly work” are failing in exactly these places, quietly.

I build integrations to survive those cases:

  • Idempotent writes, so retries never create duplicates.
  • Rate-limit aware workers with backoff and adjustable concurrency.
  • Preview and dry-run modes for risky operations like pushing prices or deleting records.
  • Reconciliation reports that compare both systems and flag drift.
  • A sync log, so “why didn’t this record update?” takes one search to answer.

A real example

For a short-term rental operator, I integrated with a channel manager that distributes to Airbnb, Booking.com, Agoda, Expedia and VRBO:

  • Two-phase rate push: room-type base rates first, then listing-level rates.
  • Preview before sending: changes are grouped by building and pushed only after confirmation.
  • Rate limits respected: the push stays within the channel manager’s limits, with adjustable concurrency.
  • Bookings kept current: a sync every 10 minutes plus a webhook receiver.

Common integrations I build

  • CRM ↔ billing ↔ accounting (HubSpot, Pipedrive, Stripe, Xero, QuickBooks)
  • PMS / channel managers ↔ internal pricing and reporting tools
  • E-commerce ↔ ERP, inventory and fulfilment
  • Legacy systems and portals ↔ modern APIs, using exports, email parsing or browser automation
  • Your SaaS ↔ the integrations your customers keep requesting

If an integration is costing your team hours or causing errors, it’s usually one of the fastest automation projects to pay back.

Pricing and ongoing costs

A straightforward one-way sync between two well-documented APIs usually takes about a week and sits at the lower end of the range. Costs rise with:

  • two-way sync and conflict resolution
  • poorly documented or rate-limited APIs
  • large historical backfills
  • systems that need browser automation because they have no API

Running costs are usually small: a lightweight worker on Railway, Fly or your own cloud, plus a database for the sync log. Because vendors change their APIs, many clients keep a small monthly retainer. It covers monitoring, updates when an endpoint changes, and adding new fields or flows as the business evolves. You always get the documentation and alerts, whether or not you take the retainer.

Signs you need a proper integration

  • Someone exports a CSV from one system every morning and imports it into another.
  • Records exist in your CRM that don’t exist in billing, or the reverse.
  • A no-code flow has a “failed runs” list nobody checks.
  • Reports disagree depending on which system you pull them from.

If any of these sound familiar, the integration is probably costing more than it would take to build properly.

What you get

  • A deployed, monitored integration service
  • A sync log and dashboard showing what moved, when, and what failed
  • Alerting for failures that need a human
  • Technical documentation of the mapping and edge cases

What it costs

from $2,500 fixed for the Integration Build, live in 1–3 weeks.

The final number depends on your integrations, users and data. We scope it together on a 20-minute call, and you get a fixed price in writing before any work starts. It doesn't change unless you change the scope.

Get a price range for your project

How the build runs

  1. Map the data

    Which system owns which field, how records match across systems, and what happens on conflicts.

  2. Probe the APIs

    I test the real endpoints, rate limits and failure modes before committing to a design.

  3. Build with safety rails

    Idempotent writes, retries with backoff, dry-run and preview modes for risky pushes.

  4. Monitor in production

    Logging, alerts and a reconciliation report so drift is caught early.

Built with tools like Node.js, TypeScript, Python, FastAPI, PostgreSQL, Redis, Webhooks, REST.

Questions owners ask

Should I use Zapier/Make/n8n or custom code?

For simple, low-volume flows, a no-code tool is cheaper and I'll recommend it. Custom code is better for high volume, complex mapping, strict reliability needs or APIs those tools don't support well.

What if the system has no API?

There's often a hidden API, an export, an email feed or a web portal that can be automated with a browser. I've built production scrapers for portals with no official API.

Who maintains it after launch?

You get documentation and alerts. Most clients also take a small maintenance retainer, because vendor APIs change.

Often paired with

Want this quoted for your business?

You'll get a reply within 1 business hour, from me, with questions or a first plan and price.