Product analytics that explains itself
Alida Fereshteh
Founder, engineering
Koray Demir
Co-founder, design
Nimbus sits on your event stream and writes the analysis for you. Instead of another dashboard nobody opens, it ships a daily narrative to Slack: what moved, which cohort caused it, and the three experiments worth running next. Built for teams of 5-50 who need answers, not a BI hire. 388 paying teams, 96% of revenue recurring, and a support load of roughly four tickets a week.
The steps that add five or six figures of value if you do them three months before talking to buyers.
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Noticed this is listed for sale on the acquisition side. Selling at 1,284 upvotes on launch day is a bold move — is the listing the actual plan or a price discovery exercise?
Both, honestly. We've been profitable for 14 months and neither of us wants to raise. If the right operator turns up at the right number we'll talk; if not we keep shipping.
The ClickHouse choice is doing a lot of heavy lifting here. What does ingest cost look like at, say, 50M events a month? That's the number that kills most analytics tools for us.
At 50M/mo we're at roughly $180 in infra for that account. Columnar storage plus aggressive rollups past 90 days — raw events age out, the aggregates don't.
We replaced a $2k/mo BI contractor with this in about a week. The Slack digest is the whole product — nobody on my team has opened the actual dashboard in a month, which I mean as the highest possible compliment.
That is exactly the outcome we designed for. The dashboard is a debugging tool for the narrative, not the destination.
Same experience here. Curious whether the digest handles weekly seasonality — our B2B traffic craters every weekend and I don't want a Monday alarm every week.
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