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.
کارهایی که اگر سه ماه قبل از شروع مذاکره انجام دهید، چند ده هزار دلار به ارزش معامله اضافه میکند.
برای شرکت در گفتوگو وارد شوید.
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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