posting velocity //
Opens vs closes per day
Based on 0 events over 90 days. Green days had more opens than closes, red vice-versa. The dark line is the 7-day rolling average.
Posting timing (day/hour) is available only when there are at least 5 jobs with a real publish stamp spread across 3 distinct days. This company's source doesn't expose post times, or there isn't enough data yet — showing what we know for sure: how many jobs are open, in which domains, and at which seniority levels.
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Open now
0
Total active openings across all sites
Δ 28-day
0
Opens minus closes in the last 28 days
Δ 90-day
0
Opens minus closes in the last 90 days
posting velocity //
Based on 0 events over 90 days. Green days had more opens than closes, red vice-versa. The dark line is the 7-day rolling average.
role mix //
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The green layer is the current share of active openings by role. The grey dashed layer is the 90-day baseline — gaps between them show where the company is shifting its hiring mix.
seniority pyramid //
Seniority is not exposed by the source for this company.
Distribution of active openings by seniority. The 'unknown' row groups jobs from sources that don't expose seniority.
geography //
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Active openings by region. Click a row to see jobs in that area.
time on market //
Median
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25th pct
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75th pct
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Based on 0 closed jobs and 0 still open (right-censored). Curve is Kaplan-Meier; band is the 95% CI.
Window: 180 days back. Don't read the mean — the long tail biases it. Median and percentiles are the honest summary.
Republish rate
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Fewer than 10 closures in the window — not enough to compute.
company intel · ai-generated
Updated 1d ago
Firebolt is a private Israeli cloud data warehousing company founded in 2019 by Eldad Farkash and Saar Bitner. It built a cloud-native analytical query engine focused on very high query performance for large-scale analytical workloads. Firebolt has raised funding from investors including Zeev Ventures, TLV Partners, and Dawn Capital, though the precise amounts of each round are not fully verified in my training data.
Firebolt's primary product is a cloud data warehouse engineered specifically for high-speed query performance — particularly for embedded analytics use cases and end-user-facing applications that require low latency. The architecture follows a decoupled storage-and-compute model and uses proprietary sparse indexing to skip data blocks and reduce the volume of data scanned per query. The typical buyer is a SaaS company or product-led team that wants to embed fast analytics directly into their product, rather than using a warehouse solely for internal data-team consumption.
The product is the Firebolt Cloud Data Warehouse, built from scratch with a custom SQL engine. A key differentiator the company has publicly emphasized is support for high-concurrency workloads — thousands of simultaneous queries without performance degradation — which suits SaaS analytics scenarios exposed to end users. In 2023, Firebolt released a version of the product with more flexible deployment options.
Firebolt's primary named competitors are Snowflake, Google BigQuery, and ClickHouse. Firebolt targets a position as a faster warehouse for embedded analytics scenarios — a segment where Snowflake is less purpose-built and ClickHouse represents the dominant open-source alternative. As ClickHouse Cloud matured, the competitive framing between the two sharpened.
Firebolt was founded in Israel and its R&D center is based in Tel Aviv. The founders are Israeli, and the core technical team has Israeli roots. The company recruits primarily for R&D, backend engineering, and infrastructure roles in Israel.
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