September Shipped: AI-Powered Marketing Video Suite
Shipped a full batch of AI-enhanced marketing videos this month, turning raw, low-quality footage into polished, on-brand content. Used real
Vlad RudnitskyiSep 2026Careers Life at Flamingo.
We're building the AI-native platform for MSPs. Agents do the boring crap. People do the judgment. Here's what that looks like day to day.
- people on the team
- 33
- countries
- 13
- Claude tokens, last 30 days
- 132.1B
- raised · Vertex Ventures, focal VC, array vc
- $6.7M
How we operate
Six rules. No fine print.
We say these out loud in standups, code reviews and offer calls. If they put you off, that is the point.
01
SSOT
Single source of truth
Every fact lives in one place: customer data, marketing numbers, plans, code. If it isn't there, it didn't happen.
02
SSOL
Single source of logic
Every rule is defined once and used everywhere: pricing, messaging, process, code. No second copy.
03
LFG
Ship, then polish
Demo it this week, polish it next week. Momentum beats perfect.
04
AI-only
Agents do the work, people decide
Before you do something by hand, ask why an agent isn't doing it.
05
No assholes
Low ego, high trust
Smart and kind is not a trade-off. Feedback is direct, and politics stay out.
06
No BS
Say the real number
Name the problem, then the fix. Write it down where everyone can see it.
What we shipped
Every month, everyone ships.
Each person records what they shipped and why it mattered. These come straight from our internal feed.
How we work
We show our work, on video.
Real sessions: the prompts, the skills, the parts that still need babysitting, written by the person who did the work.
Wingspan
How the flock flies with Claude.
Everyone at Flamingo works with Claude every day. Wingspan is how we keep the whole team leveling up together, not only the early adopters.
- 1
Every Mac reports usage
One command connects a Mac. Sessions, tokens and active time roll up automatically.
- 2
The heaviest users mentor
Each period, the people who use Claude the most become mentors and a manager pairs each one with a mentee.
- 3
Progress is measured against yourself
We compare you with your own last period, never with your teammates.
Team totals, last 30 days
Live from People Hub
Tokens
132.1B
across the team
Sessions
22,389
Claude sessions started
Active time
1,427h
spent in Claude
Mentors
17
Top half by usage
Mentees
17
Paired by their manager
Not part of performance scoring. Wingspan exists to spread what works.
Gatherings
Remote all year. Together once a year.
Most days happen on video. Once a year the whole flock gets in one place to plan, cook and argue about the roadmap in person.
Podcast
All episodesHow Are We Building Flamingo.
Behind the scenes of building an AI-native MSP platform. Engineering decisions, strategy, and the systems behind a 15-person team shipping like 100X.
Latest episodeDo Hard Things Podcast With Michael AssrafTuesday, August 1841 min
Michael Assraf spent nine years building Vicarius, a cybersecurity company he co-founded in Israel in 2016 and led through $60M in funding. Then he walked away from it to start over in a market most investors can't define. In this episode with Gabe and Lexi, Michael explains why. Software replacing software is a pattern we've seen for decades. Software replacing services is something else, and he thinks it's the biggest shift since the industrial revolution. That view took him to managed service providers: the outsourced IT firms that keep small businesses running, squeezed between rising vendor costs and rising labor costs, working with tools designed 20 years ago. He also gets specific about what he's doing differently the second time. Distribution before product. A community built before there was anything to sell. And a rule about not handing off go-to-market until the sales motion is repeatable, because trying it earlier is what failed at his first company.
How We Priced OpenFrame & AI Without the GamesMonday, July 2014 minKristina Shkriabina
Straight pricing shouldn't need a sales call. Here's how we built OpenFrame's. Vlad Marchenko, Head of Marketing at Flamingo, covers the $1-per-device model, why we went per device over per technician, and how we priced AI tokens so the bill actually makes sense.
How we manage content and online events with AITuesday, June 3015 minKristina Shkriabina
We publish content across 4 platforms, run an active Slack community of 600+ MSPs, manage 193 vendor analysis pages with thousands of community votes, and host online events. All of it is run by two people with AI assistance. In this episode, Michael shows how we manage the content calendar, community moderation, online event logistics, and why doing all of it from a single system matters.
Documentation That Writes Itself From Source CodeTuesday, June 914 minKristina Shkriabina
Generating documentation. We don't have a product manager. Instead, our system watches what the engineering team ships and automatically generates reference docs, tutorials, and feature specs from the source code. We talk about the time it hallucinated setup instructions that didn't exist, how we fixed the trust hierarchy between generated docs and manual notes, and why auto-documentation is the single biggest force multiplier for a small team.
Beyond Feature Requests: How We Run Customer OperationsWednesday, May 2712 minKristina Shkriabina
Interviews and case study management. Every beta customer who did a case study agreed to go on video - 100% participation rate across 11 customers managing 5,000+ endpoints. We built an internal conviction dashboard that tracks every customer conversation, maps intent tiers, and connects interview data to revenue projections. Before we turn on billing, we're running structured validation interviews with our top 50 customers to pressure-test willingness to pay.
A Live Roadmap Your Users Can Actually Vote OnTuesday, May 1211 minKristina Shkriabina
Roadmap and delivery management. Our product roadmap is public. Users can see what we're building, vote on features, and track what shipped. Behind the scenes it's synced to our project management system so votes from the community feed directly into sprint priorities. We also track every bug fix and enhancement with live status updates, and coordinate across a global team through the same tool.
How We Validate Every Lead Before It Touches SalesWednesday, May 616 minKristina Shkriabina
Lead validation and access code management. We built an internal system that scores every MSP signup before they ever get access to the product. It detects whether a company is actually an MSP, researches them across the web, assigns confidence scores, and syncs everything to our CRM automatically. We control who gets in through cohort-based access codes - 2,090 signups, 585 granted access, 196 actively using the product. Every step is gated and measured.
The Operating System Every Startup NeedsTuesday, April 1413 minKristina Shkriabina
How does a 15-person startup compete with companies that have thousands of employees? Not by hiring more people – by making every internal process as automated as possible. In this intro episode, Flamingo CEO Michael Assraf walks through the operating philosophy behind the company: one unified codebase, one shared database, and five internal hubs that run marketing, product, revenue, people, and investor reporting with minimal human touch. Michael covers why transactional efficiency is non-negotiable for PLG businesses with sub-$100K ACVs, how Flamingo's unified architecture works across its website, community platform, and product, and what the five hubs (Marketing, Product, Revenue, People, and Company) do to disconnect scalability from headcount. This is the first episode of How We Are Building Flamingo – a weekly show for founders and operators who want to see inside another startup's operating system. Subscribe to follow along. Connect with Michael on LinkedIn: linkedin.com/in/michaelassraf Learn more: flamingo.run Our MSP podcast: openmsp.ai/podcastsMeet the humans
33 people. 13 countries.
Michael Assraf
Founder and CEO
Aliaska Varieva
Head of Platform
Andrii Kachur
Back-End Engineer
Andrii Koropets
Back-End Engineer
Andrii Yakovenko
Back-End Engineer
Arsenij Malov
Back-end Tech Lead
Conrad Lunderstedt
Solution Architect
Danylo Babenko
Client Engineer
Denys Slieptsov
Client Tech Lead
Dmytro Koval
Head of Product Engineering
Hryhorii Chuhuievets
Back-End Engineer
Ilona Kozak
Product Manager
Ivan Khropachov
DevOps Tech Lead
Kirill Gontar
Back-end Tech Lead
Kristina Shkriabina
Content Marketing Lead
Maria Klymenko
QA Engineer
Mikhail Matsykh
Client Engineer
Mikhail Nosan
QA Engineer
![Mykyta Sahan](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="rgb(100,100,100)" stroke-width="2"%3E%3Ccircle cx="12" cy="8" r="4"/%3E%3Cpath d="M6 21v-2a4 4 0 0 1 4-4h4a4 4 0 0 1 4 4v2"/%3E%3C/svg%3E)
Mykyta Sahan
Outbound Engineer
Nazarii Dzhoha
HR Associate
Nick Kanashenko
Back-End Engineer
Oksana-Mariia Kifer
Product Designer
Oleksandr Didukh
Back-End Engineer
Oleksandr Koltunov
Full-Stack Engineer
Oleksandra Perig
Head of Operations and HR
Pavlo Shylo
Front-End Tech Lead
Roman Ivan Korvatskyi
Full-Stack Engineer
Roman Khutornyi
Product Designer
Semen Lisak
Back-End Engineer
Viktor Ishchenko
DevOps Engineer
Vlad Rudnitskyi
Video Editor | AI Generalist
Vladislav Marchenko
Head Of Marketing
Yevhenii Basarab
Back-End Engineer
How we hire
Bring your AI.
We hire AI-native people, so we interview the way we work. Use whatever tools you'd use on the job. We're watching your judgment, not your typing speed.
- 1
Intro call
30 minutes with the hiring manager. What you've shipped, what you want next.
- 2
Home assignment
A real problem from our backlog, on your own time. AI tools are allowed and expected.
- 3
Meet the team
The people you'd work with every day, plus a values conversation.
- 4
Offer
A straight answer either way.
Open Positions:
Senior DevOps Engineer
Remote5y experience • intermediate English46 applicants • 232 views
Outbound Engineer
Remote2y experience • upper English30 applicants • 109 views
Senior DevOps Engineer
Remote5y experience • intermediate English29 applicants • 227 views
Senior Back-end Engineer (Java)
Remote5y experience • intermediate English142 applicants • 335 views
Didn't find the right role?
If you give a damn about open tools, fast execution, and making MSPs' lives easier - we want to hear from you.
careers@flamingo.runFrequently Asked Questions
careers
About OpenFrame
How is OpenFrame different from other vendors?
Most platforms give you one piece and expect you to bolt the rest on. OpenFrame unifies the whole stack in one place, with AI copilots built in. Fewer logins, fewer bills, less duct tape.
Where is my data hosted?
In the cloud, on US soil. Your data stays stateside.
Is OpenFrame for MSPs or MSSPs?
Both. It's built for MSPs and MSSPs alike.
MSP AI Agents
Can AI Agents Really Close Tickets Without a Technician?
Yes. In production MSP shops today, 10% to 25% of tickets close before a human opens them. Thread alone has processed 173 million tickets across 750-plus MSP partners at 96% triage accuracy, handing back 490,000-plus technician hours. Agents own the low-risk, high-volume work (password resets, MFA enrollment, known installs, onboarding and offboarding) and flag anything that touches production data or needs judgment for a human to take.
How Much Can AI Agents Save an MSP?
On a five-person desk, reported deployments show $78,000 to $130,000 in annual direct labor savings, roughly 30% fewer escalations, and 15% to 20% better SLA compliance. Broader MSP adoption data adds ticket handling time cut by 45% and five to 12 points of margin, all from reclaimed capacity rather than headcount cuts.
Still deciding?
Ask Mingo answers from our docs and customer stories.