Minutes, not days. Insights he didn't know to ask for.
How a four-person validator team gets the answers they need without building a data team.
The infrastructure is the easy part. Everything else is not.
Laminated Labs is a four-person validator collective. They run validators on networks they care about. Their background includes building Bison Trails and working at Coinbase. They know distributed infrastructure.
Running the infrastructure isn't the hard part anymore. Years of experience means the technical work (keeping nodes online, handling upgrades, maintaining performance) is manageable.
What's not manageable is everything else.
"The last thing any of us want to do is any sort of data work.
"
Manual reconciliation or build it yourself. Neither scaled.
The team needed answers to fundamental questions. How is our validator performing economically, not just technically? Which LSTs should we join? How does our commission compare to competitors? Are we profitable?
Getting those answers meant one of two paths:
- Manual work. Open multiple explorer tabs, cross-reference data sources, reconcile numbers in spreadsheets. Repeat whenever you need an update.
- Build it yourself. Rob had recently used an LLM agent to scrape explorer DOMs and parse validator data. Even that accelerated approach took hours of setup and had to be rebuilt for each new question.
Neither path scaled. Neither gave ongoing answers.
The information existed. But it was scattered across Prometheus, Grafana, Beaconcha.in, Stakewiz, Dune, Discord channels, custom scripts, and spreadsheets. Fifteen-plus sources that never talked to each other.
"I knew it would take me days to put together.
"
Data that arrives at the moment it matters.
Flipspace pulled the scattered sources into one platform and pushed answers directly into the team's Slack.
- Alerts and briefings delivered to their validators Slack channel
- Competitive analysis across the Monad ecosystem on demand
- P&L projections with bull/bear scenarios
- LST membership analysis showing which pools competitors had joined
Nobody had to remember to check a dashboard. The answers showed up where the team already worked.
Rob set up scheduled weekly reports. The system watched performance, tracked stake movements, and flagged opportunities on its own.
"It just showed up there in the place where I work.
"
A meeting that would have ended with homework ended with a next step.
The value became concrete during a routine business review call.
Questions came up about LST participation and competitive positioning. Normally, these would become action items for "later."
Instead, Rob asked Flipspace directly. Within minutes, he had competitive analysis showing an LST opportunity his competitors were already in, one his team had completely missed.
The conversation that would have ended with research homework ended with a specific next step.
The system also surfaced things the team hadn't thought to look for. It compared their commission rate against ecosystem peers and recommended raising it to 10%, the standard rate, because they were leaving money on the table by undercutting.
"It literally is giving me other validators' comparisons, their performance and showing me opportunities. I wouldn't even think to ask some of those questions.
"
The folks who are not doing that are going to get left behind.
Validator margins are compressing. Operators are stretched thin. In that environment, the difference between operators who adapt and those who don't is whether answers come to them or they have to go dig.
Laminated Labs runs validators as part of a broader business. They don't have a dedicated data team. They don't have time to build custom analytics infrastructure.
They have four people who know infrastructure cold but need the "softer things" (economic analysis, competitive positioning, profitability modeling) handled automatically.
That's the gap Flipspace fills. No dashboards to check. The answers just show up.
"If you had just been like, 'Rob, you could pay for this right now—just these Slack notifications,' I would have been like, 'that's worth it.'
"
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