Most notebooks die with the person who wrote them.
Zerve changes that:
→ Drag and drop your notebook
→ Auto-parsed into a DAG
→ Run with full state and context
→ Deploy an API or app in minutes
Already have notebooks? This is the fastest path forward.
Stop looping. Start parallelizing.
Zerve Fleet:
→ Spread inputs across a DAG
→ Execute in parallel (not sequentially)
→ Aggregate results in one cell
Hyperparameter tuning, data processing, LLM evals.
If it loops, it can scale.
#DistributedComputing#ParallelProcessing
Recurring work is where value compounds.
Zerve scheduling:
→ Run on-demand or on a schedule
→ Auto-versioning so updates don't break prod
→ Completion + error notifications
→ Full cron support
Set it once. Trust it. Iterate safely.
Every Zerve cell run is fully inspectable.
Code that executed. Output produced. Errors. Runtime.
No more guessing what broke or why. Just click back and see exactly what happened.
Debugging and collaboration, fixed.
#DataScience#DeveloperProductivity
The #1 frustration with AI agents isn't the model. It's losing context.
Zerve persists execution state automatically. Outputs, variables, everything. So your agent always knows what already ran.
No starting over. No re-running. Just momentum.
#AIAgents#DataScience#AgenticDataWorkspace#DecisionGradeDataWork
Most data science platforms call it "collaboration" when they let you share a link.
That's file hosting with extra steps.
Read what WE mean by collaboration here at Zerve.
hubs.la/Q044Mnhy0
Hackathon update: Great submissions are rolling in.
Still time to join. $10K in prizes, real usage data, AI that actually gets data context.
Open through March 30: hubs.la/Q040dYRV0
Took Zerve to hackathons across India, Berlin, Paris, and online
One winner cut cost per acquisition from $15.70 to $1.72. 29 teams competed at IIT Bombay. Two longevity sprints in Europe.
Full recap plus an open $10K challenge
hubs.la/Q043KMtW0
Next weekend Zerve is hosting the data analytics track at UA Innovate, a 24-hour hackathon at the University of Alabama. Teams of up to 4, all majors and experience levels welcome. Feb 28 - March 1.
Register: hubs.la/Q043hNp70
New Data Day: Andrew Engel spent 6 years in B2B SaaS building things nobody needed. Now he's detecting concussions from a phone camera using ML and computer vision. He talked to Greg about LLM market fatigue, the leap to founder, and building NYST AI. hubs.la/Q043KD8v0
Few days out from the Zerve datathon at UNC Charlotte. Teams of 4 digging into real app event data to find the user behaviors that actually matter. Winners get Meta smart glasses.
Feb 20-21. Register: hubs.la/Q043hNgL0
@gvmzerve is speaking at #Risk2026 this Wed, Feb 18 at 12:10 PM ET
"Agentic R Workflows for High-Stakes Risk Analysis" - how R agents can build, test, and refine risk models while keeping every step transparent and reproducible.
Register: hubs.la/Q043cCMj0
Greg keynoted the Men's Final Four Data Analytics Challenge - 700+ students predicting all 68 March Madness seeds with messy data and zero hand-holding. Zerve is the official LLM-based coding agent for the competition.
hubs.la/Q042wT1B0