Who actually uses these products,
and what made them stay.

The Zapier Non-Technical Automator

An operations coordinator, marketing manager, or executive assistant who discovered Zapier and spent an afternoon automating a task that had been eating 45 minutes of their week. That experience was formative. They now have 12 Zaps running, three of which they fully understand, one of which they're afraid to touch, and one that they know has been broken for two weeks but the fix intimidates them. They are not a developer. They are the closest thing to one in their department.

“Not a single dramatic moment — more like a Tuesday at 3pm when they realized they hadn't thought about error messages that tell them a Zap failed but not what to do about it in two weeks.”

The GitLab DevOps Engineer

A DevOps engineer or platform engineer who chose GitLab because the promise of "one tool for the entire DevOps lifecycle" was too compelling to ignore. They manage the CI/CD pipelines, configure the runners, set up the security scanning, and maintain the deployment workflows. They appreciate that everything lives in one place — no integrating GitHub with CircleCI with Snyk with ArgoCD. But they've also learned that "one tool that does everything" sometimes means "one tool that does everything at 80%."

“Not a single dramatic moment — more like a Tuesday at 3pm when they realized they hadn't thought about cI pipeline configuration in YAML becomes deeply nested and hard to maintain as complexity grows in two weeks.”

The GitLab DevOps Engineer

A DevOps engineer, platform engineer, or senior developer at a company that chose GitLab — often for self-hosting, compliance, or all-in-one platform reasons. They maintain the GitLab instance or the pipeline configurations that all other engineers depend on. They think in pipelines, stages, and artifacts. They've written `.gitlab-ci.yml` files that are 300 lines long and know every YAML key by memory. They've debugged a pipeline failure on a Friday evening. They have strong opinions about GitHub Actions versus GitLab CI that they will share if asked.

“The shift was quiet.”

The Attio Revenue Operator

A revenue ops manager, head of sales, or technical founder at a startup of 10–100 people who evaluated the legacy CRMs and decided not to inherit their constraints. They chose Attio because it's data-model-first — they can define what a record means in their business rather than forcing their process into Salesforce's assumptions. They are building their CRM from scratch. This is a significant investment. They are aware of that and have decided it's worth it.

“A teammate asked how they managed build a CRM that reflects their actual sales process rather than a generic framework.”

The Miro Workshop Facilitator

A product designer, agile coach, or team lead who facilitates remote workshops in Miro. They don't just draw on a whiteboard — they design participatory experiences: timed exercises, voting rounds, structured templates, and breakout activities. They've learned that the tool is 30% of a good workshop; the other 70% is facilitation design. They are the person who spends 2 hours preparing a Miro board so that a 1-hour workshop runs smoothly for 20 people.

“The facilitator is running a design sprint kickoff with 15 people.”

The Dovetail Research Operations Manager

A UX research lead or research operations manager at a product company who uses Dovetail to turn the chaos of qualitative research — interview transcripts, survey responses, usability test recordings — into a structured, searchable insights repository. They tag, code, and synthesize findings so that when a PM asks "what do we know about onboarding friction?" the answer is a link, not a 3-week research project. They are the librarian of user insights, and they've learned that research nobody can find is research that didn't happen.

“A teammate asked how they managed tag and code qualitative data (transcripts, notes, videos) with consistent taxonomy.”

The PagerDuty On-Call Engineer

A software engineer or site reliability engineer who is on a rotating on-call schedule and whose relationship with PagerDuty is defined by the moments it wakes them up. They've been paged at 3am. They've resolved incidents from their phone in bed. They've also been paged for something that wasn't an incident — a flaky alert, a threshold set too low, a monitoring rule that was never updated after the system changed. Every false positive erodes their trust in the alert and their willingness to respond with full urgency next time. They manage this tension carefully.

“The shift was quiet.”

The Rippling HR/IT Admin

An HR manager or IT admin — sometimes the same person — at a company large enough that onboarding a new employee involves both an HR workflow and an IT workflow, and small enough that the same person owns both. They chose Rippling because it promised to unify those two workflows into one. When it works — when a new hire's laptop ships, their apps provision, and their payroll is set up in a single flow — it delivers on that promise in a way nothing else does. When it doesn't work, it's complicated in proportion to how much it was supposed to simplify.

“An employee is leaving in two weeks.”

The Airtable Ops Manager

An operations manager, program manager, or department lead at a 20–200 person company who discovered that spreadsheets couldn't hold what they needed to track anymore. They built something in Airtable that their team actually uses. They are not a developer, but they've learned to think like one — tables, relations, fields. They are simultaneously proud of what they've built and anxious about what happens when it breaks.

“A teammate asked how they managed maintain operational data that's accurate enough to make real decisions from.”

The Coda Ops and Strategy Builder

An operations manager, strategy lead, or chief of staff who discovered that the documents they needed didn't fit neatly into either a Google Doc or a spreadsheet. They found Coda and spent two weeks building something they couldn't have built elsewhere — a doc with a database inside it, buttons that trigger actions, and views that update automatically. They are evangelical about it in proportion to how many people they've tried to explain it to. It's hard to explain until you see it.

“Not a single dramatic moment — more like a Tuesday at 3pm when they realized they hadn't thought about the learning curve that separates people who "get" Coda from people who bounce off it in two weeks.”

The Zapier Power Automator

A RevOps lead, marketing ops specialist, or operations manager who has become their company's automation architect without the title. They've connected 15–30 apps through Zapier and built workflows that the entire company depends on but nobody else understands. They started with simple two-step Zaps and now build multi-step workflows with filters, paths, formatters, and webhooks. They are the person who gets called when "something stopped working" — which means a Zap failed and nobody noticed until the damage was done.

“A teammate asked how they managed build multi-step automations that handle edge cases without breaking.”

The Storybook Design System Maintainer

A frontend developer or design technologist who maintains the company's Storybook instance. They write stories for every component, document props with controls, set up visual regression testing, and serve as the bridge between designers and developers. They are the keeper of the design system's technical truth. When a designer asks "does this component exist?" the answer lives in their Storybook. When a developer asks "how do I use this prop?" the answer lives in their Storybook. They are the librarian of the component library.

“The shift was quiet.”

The Miro Remote Facilitator

A UX designer, product strategist, design researcher, or Agile coach who uses Miro as their workshop room. They've run retrospectives, journey mapping sessions, design sprints, and ideation workshops — all on Miro, all remote. They are good at facilitation. They have strong opinions about how a Miro board should be structured. They've also learned that a beautifully structured board means nothing if participants don't know how to use sticky notes.

“Not a single dramatic moment — more like a Tuesday at 3pm when they realized they hadn't thought about new participants who spend the first 10 minutes learning Miro instead of the topic in two weeks.”

The Storybook Frontend Developer

A frontend developer or design systems engineer at a company with a shared component library. Storybook is where they develop components in isolation, document their props and variants, and give designers a place to review and interact with components without pulling a branch. They've set up Storybook, they've configured it, they've written stories for 40–150 components. They're the person who knows where Storybook falls short and stays anyway because the alternative is worse.

“Not a single dramatic moment — more like a Tuesday at 3pm when they realized they hadn't thought about storybook configuration that fights the build tooling when the team's setup is non-standard in two weeks.”

The Segment Data Engineer

A data engineer or analytics engineer at a tech company for whom Segment is the central nervous system of the data stack. Every tool the company uses for analytics, marketing, and customer success gets its data through Segment. They did not design the original tracking plan. They inherited it. They've been cleaning it up for eight months. It will take eight more. They are the person who gets paged when an event stops flowing.

“A teammate asked how they managed maintain a clean, consistent event schema that all downstream tools can rely on.”

The FigJam Product Team Facilitator

A product manager, design lead, or team facilitator at a product company who uses FigJam for team whiteboarding because their team already lives in Figma. They chose FigJam over Miro because the context switch is lower — design references, wireframes, and working files can be linked or embedded directly from Figma. They run planning sessions, retrospectives, decision workshops, and design crits on FigJam. Their team knows how to use it. This matters more than they expected it to.

“The shift was quiet.”

The Notion Workspace Admin

A team lead, chief of staff, or ops person who became the unofficial Notion admin because they were the first person to organize anything in the workspace. They've built the team wiki, the project tracker template, and the onboarding guide. They spend more time maintaining the structure of Notion than using it for their actual job. They live in fear of someone moving a page to the wrong section and breaking every linked database.

“A new team member joins and asks where to find the product roadmap.”

The Zoom Event Producer

An event coordinator, marketing ops person, or executive assistant who runs 5–20 Zoom events per month for audiences of 50–2,000 people. They're not a video producer by training but they've become one by necessity. They know how to spotlight a speaker, manage breakout rooms, and recover from someone sharing the wrong screen — all while monitoring chat for questions. They have a pre-event checklist that's 30 items long because they learned the hard way.

“It happened mid-workflow — it's 5 minutes before a 500-person webinar.”

The Clay Growth Operator

A growth lead, revenue ops manager, or technical sales operator who found Clay and spent two weeks rebuilding their entire outbound motion around it. They were already combining data from LinkedIn, Apollo, Clearbit, and spreadsheets manually — a process that was slow, inconsistent, and unscalable. Clay collapsed that into one workflow. They now build outbound lists in hours that previously took weeks. They are evangelical about it. They're also aware that most people at their company don't understand what they've built.

“The head of sales wants a list of 500 Series B SaaS companies that have posted a VP of Sales job in .”

The Coda Doc Builder

A team lead, ops manager, or product manager who uses Coda to build interactive documents that are half-doc, half-app. They've built meeting note trackers with automated action items, sprint planning boards with voting buttons, and OKR trackers with progress rollups — all inside Coda docs. They chose Coda because Notion didn't have formulas and Airtable didn't have documents. They love that everything lives in one place. They worry that they've built something only they understand.

“Not a single dramatic moment — more like a Tuesday at 3pm when they realized they hadn't thought about formula complexity escalates quickly — what starts as a simple lookup becomes a nested formula chain in two weeks.”

The Slack-Drowning Knowledge Worker

A full-time knowledge worker — marketer, PM, ops, customer success — at a company large enough that Slack has become the ambient noise of their workday. They didn't design the channel structure they live in. They inherited it. They have 12 unread DMs, are mentioned in 3 channels they rarely check, and have muted so many channels that important things occasionally slip through the cracks. They're not bad at their job. They're bad at Slack because Slack has become its own job.

“It happened mid-workflow — it's 10am.”

The Clay GTM Engineer

A GTM engineer, growth operations lead, or RevOps professional who uses Clay as their data enrichment and workflow engine. They build spreadsheet-like tables that pull from 50+ data providers — enriching companies with technographic data, finding decision-makers' emails, scoring leads based on signals, and triggering personalized outreach. They think in data transformations and API calls. They've replaced hours of manual prospect research with Clay workflows that run in minutes. They are the engineer of the sales pipeline's data layer.

“The shift was quiet.”

The Deel Global HR Manager

An HR manager, people ops lead, or COO at a company of 20–200 people that has hired internationally — contractors in one country, full-time employees in another. Before Deel, this involved a law firm, a local accountant, a foreign entity, and a spreadsheet of exchange rates. Deel collapsed that. They can now hire in a new country in days instead of months. They are not naive about the complexity they're offloading — they understand that Deel is doing what they used to do badly.

“They've found the right candidate for a senior engineering role.”

The Fly.io Edge Deployer

A backend developer or DevOps engineer who deploys applications on Fly.io because they need their app running close to users globally — not just served from a CDN, but actually computing at the edge. They've outgrown Heroku's simplicity, don't want AWS's complexity, and find Vercel too opinionated for non-Next.js workloads. Fly.io hits the sweet spot: Docker containers deployed globally with a CLI that feels developer-first. They're comfortable with infrastructure but don't want it to be their full-time job.

“Not a single dramatic moment — more like a Tuesday at 3pm when they realized they hadn't thought about stateful workloads at the edge (databases, volumes) have limitations that aren't always clear until production in two weeks.”

The Dovetail UX Researcher

A UX researcher or research ops manager at a company with a growing research practice. They've conducted enough studies that the insights are now a problem: they exist in documents, recordings, sticky notes, and people's memories. Dovetail is where they're consolidating that. They tag, they theme, they surface insights in a way that teams can find without having to ask a researcher. They believe the research repository is the infrastructure of a research-driven company. They're building it while also running new studies. It is a lot.

“Not a single dramatic moment — more like a Tuesday at 3pm when they realized they hadn't thought about research that gets done, presented, and forgotten — the insight graveyard problem in two weeks.”

The Make Integration Architect

An automation specialist, operations engineer, or technical ops manager who builds complex workflows in Make because Zapier wasn't enough. They connect 10–30 tools with branching logic, iterators, aggregators, error handlers, and data transformations. They build automations that look like flowcharts, not if-then rules. They've learned Make's visual interface deeply — routers, filters, webhooks, custom HTTP modules. They are the person who automates what everyone else does manually, and they take quiet pride in systems that run for months without intervention.

“A teammate asked how they managed build multi-step automations with branching logic that handles different cases (approval/rejection, success/failure).”

The Datadog SRE

A site reliability engineer or DevOps engineer responsible for the uptime and performance of production systems. They chose Datadog because it combines metrics, traces, logs, and alerts in one place — but now they're paying for all of it and the bill is terrifying. They've built dashboards that are beautiful, alerts that are precise, and runbooks that nobody reads. They are the person who gets paged at 3 AM and needs to determine in 90 seconds whether this is a real incident or a flapping alert.

“The shift was quiet.”

The Rippling HR Administrator

An HR administrator, people ops manager, or office manager at a 50–500 person company who manages Rippling as their all-in-one HR platform. They handle onboarding (IT provisioning, payroll setup, benefits enrollment), offboarding (access revocation, final paycheck, COBRA), and everything in between. They chose Rippling because the alternative was stitching together 5 separate tools. They appreciate the unified system but have learned that "all-in-one" means "all the complexity in one place." They are the person who makes sure new hires have a laptop, a paycheck, and health insurance on day one.

“It happened mid-workflow — a new engineer starts Monday.”

The Attio Revenue Operations Lead

A revenue operations lead or head of sales operations at a Series A–C startup who chose Attio because legacy CRMs either cost too much (Salesforce) or think too rigidly (HubSpot). They build custom objects, design pipeline views, and create automations that match how their team actually sells — not how a CRM template assumes they sell. They think in data models, not contact records. They've realized that a CRM is only as good as the data in it, and their primary job is making sure the data stays clean and the team actually uses the tool.

“It happened mid-workflow — the company is expanding from SMB to mid-market sales.”

The Descript Content Creator

A content creator, podcaster, or YouTuber who discovered that editing video by editing text is the workflow they always wanted. They are not a professional video editor — they are a creator who needs to edit video. They record long-form content and use Descript to clean it up: remove filler words, cut dead air, generate highlights, and export polished clips. They've tried Premiere and DaVinci Resolve but found the timeline-based editing paradigm unnecessary for talking-head and interview content.

“A teammate asked how they managed edit video and audio by editing the transcript — cut a sentence, cut the video.”

The DocuSign Legal Operations Manager

A legal operations manager, contracts administrator, or legal team member responsible for the organization's DocuSign implementation. They manage templates, set up signing workflows, and make sure contracts go through the right approval chains. They're the person who built the NDA template, the SOW template, and the vendor agreement template. They field requests like "I need this signed by Friday" and translate them into proper DocuSign envelopes with the right fields, routing, and compliance settings. They are the API between the legal team and everyone else who needs something signed.

“Not a single dramatic moment — more like a Tuesday at 3pm when they realized they hadn't thought about template management becomes unwieldy as the library grows — versioning and deprecation are manual processes in two weeks.”