I take 50-minute manual processes and turn them into 1-second pipelines.

I'm Arnaud - Product Operations, builder-side. Currently right hand to the founder at HelloBible, scaling from 15k to 140k downloads in 14 months. I find the friction. I ship the system that removes it.

Open to your next ops hire - coffee on me if you're in Paris

Selected work

Operations systems I've built.

Five case studies - each a real friction I found, a real system I shipped, a real outcome I can show you.

I Shipped This Site Without Writing Code
META · AI-ORCHESTRATED EXECUTION

I Shipped This Site Without Writing Code

The strongest demo of my method is the site you're on. I'm not a dev. I orchestrated Claude through every line of code, every visual decision, every trade-off. Here's how, and why it matters.

AstroMDXWebGLCanvas 2D
From 50 Minutes to 1 Second. 220 Times.
AI WORKFLOW AUTOMATION

From 50 Minutes to 1 Second. 220 Times.

I built a pipeline that ships Bible reading plans on YouVersion in 1 second instead of 50 minutes - and turned those plans into a top-of-funnel acquisition channel that feeds HelloBible. 220 plans shipped, an undocumented API reverse-engineered, an entire publishing-to-acquisition loop automated.

Node.jsDeepL Pro APIBible.com APIYouVersion API
USER INSIGHT SYSTEM

I Built HelloBible's Voice of Customer Pipeline for $1 a Month.

4 scattered feedback channels (Zendesk, WhatsApp, Play Store, App Store) - 2,020 customer verbatims classified across 27 business-specific themes - for $1 in API calls. Built with Python and Claude Haiku. Runs monthly from a single command, with checkpoints so an interruption doesn't cost a re-run.

PythonAnthropic SDKClaude Haiku 4.5Zendesk API
Two Telegram Bots I Use Every Day on the Job
PERSONAL TOOLING

Two Telegram Bots I Use Every Day on the Job

Daily-driver tools I built end-to-end to solve my own friction: a second-brain memory bot, and a tech-watch satellite bot that surfaces what matters without doom-scrolling.

Telegram APIWhisperClaude APIDeepseek API
SUPPORT OPS

Instant Premium User Identification in Support

I built a Zendesk + RevenueCat integration that flags premium subscribers in real-time - what the official connectors couldn't do. Result: 3,200+ tickets resolved, 80% macro coverage.

ZendeskRevenueCatn8nMacros
How I work

Three principles that shape every system I build.

01

Start with the friction, not with the tool.

The shiniest stack means nothing if it solves the wrong problem. I watch how people actually work, write down where they curse, then pick the simplest thing that makes the cursing stop.

02

If I can't explain it in 90 seconds, it's not done.

Clarity is a deliverable. Every system I ship comes with a short Loom, a one-pager, or a back-of-envelope diagram - because a tool nobody understands won't be maintained, and won't be trusted.

03

Boring systems that run beat clever systems that don't.

I'll pick n8n over custom code when it gets the job done. Google Sheets over a "real" database when the team is three people. Compounding reliability beats showing off - every time.

Strategy

Why this site exists.

I'm Arnaud Duflot. I do Product Ops at HelloBible - a consumer app I helped scale from 15k to 140k downloads in 14 months.

My actual job: I find operational friction, design the AI workflows that remove it, ship. A 50-minute manual task becomes 1 second because I built the right pipeline.

This site exists for one reason: generate 1 to 2 conversations a month with founders or CPOs who have the same problems I have at HelloBible, at different scales. Early-stage startup, scale-up structuring its ops, AI team inside a larger company - the size doesn't matter. What matters is that there's a real ops problem to solve.

What makes me different: I'm not a dev. I'm a Product Ops who orchestrates AI agents to ship technical solutions beyond my individual skill ceiling. This site itself - WebGL, adaptive animations, custom design system - I didn't write the code. I piloted Claude through it. The four other case studies are the same story at different scales.

If your team believes AI will transform its ops but no one can actually ship it, let's talk.

Let's talk

Open to your next ops hire.

Product Ops, AI Design Workflow, AI Automation Engineer, Chief of Staff, and adjacent operations roles - at startups and scale-ups where one person can still see the whole picture and ship across the stack. Paris-based, remote-friendly.

Email copied to clipboard