R
ReadySet
ReadySet is a lightweight data distribution layer that speeds up queries by 20-100x and scales out database reads horizontally
About ReadySet
ReadySet.io is a cutting-edge technology startup that focuses on optimizing database performance for businesses. The company provides a lightweight data distribution layer designed to significantly speed up database queries, making applications faster and more efficient. ReadySet achieves this by enhancing read performance without requiring any changes to the existing codebase. This means that developers can integrate ReadySet seamlessly with their current MySQL and Postgres databases, as well as with Amazon's RDS (Relational Database Service).
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The primary clients of ReadySet are businesses that rely heavily on database operations and need to scale their applications efficiently. This includes sectors like e-commerce, finance, healthcare, and any other industry where fast data retrieval is crucial. By improving query speeds by 20 to 100 times and enabling horizontal scaling (adding more machines to handle more data), ReadySet helps these businesses maintain high performance as they grow.
ReadySet operates in the database management and optimization market, a sector that is becoming increasingly important as data volumes continue to grow. The company's business model revolves around providing a subscription-based service, where clients pay for the performance enhancements and scalability features that ReadySet offers. This recurring revenue model ensures a steady income stream while allowing clients to benefit from continuous improvements and updates.
In summary, ReadySet.io offers a powerful solution for businesses looking to optimize their database performance without the need for extensive code changes. By combining the speed of in-memory caching systems with the scalability of read replicas, ReadySet provides a future-proofed, high-performance data distribution layer that supports growth at every stage.
Latest news
Press, funding announcements and product moves mentioning ReadySet.
Funding history
Company financing events and reported valuations.
| Deal type | Date | Amount | Valuation | Investors | Source |
|---|---|---|---|---|---|
| SERIES A✓Equity / VC | Apr 2022 | $29M | $116M | Spencer Kimball · Yury Izrailevsky · Adam Gross · Guillermo Rauch | ↗ |
| SEEDEquity / VC | Feb 2021 | $0 | — | SV Angel | — |
Financials
Revenue, earnings and other financial measures where available. Years marked “E” are estimates.
Growth signals
Latest recorded traffic for ReadySet is 10K monthly website visits, down 28.6% over the last three months. ReadySet's team grew 12.5% over the past year.
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| Company | Headquarters | Status | Employees | Total funding | Valuation |
|---|---|---|---|---|---|
TursoProvides a database solution designed for businesses compatible with existing SQLite databases |
Claymont, United States | Operational | 21 | — | — |
PostgresMLAI |
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PlanetScaleOffers a cloud-based, fully managed MySQL-compatible database platform designed for high performance, scalability, and developer-friendly operations |
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Cockroach LabsDevelops commercial database management systems |
New York City, United States | Operational | |||
Amazing DevNoSQL |
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RevylAgentic testing platform for web and mobile, enabling automated E2E tests with natural language commands and seamless CI/CD integration |
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DronaHQNo-Code App development platform for building business apps at 10X speed and running them at 1/3 cost |
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BotomaticCross-platform automation with bots |
Hong Kong | Closed |
Investors
From Dealroom's funding and investor records, grouped by the round each investor first entered.
Seed1 investor entered at this stage
Series A7 investors entered at this stage
Index Ventures
Amplify Partners
Spencer Kimball
Yury Izrailevsky
Adam Gross
Guillermo Rauch
Jason Warner
Other known investors5 additional known investors
Calvin Chin
E14 Fund
Essence Venture Capital
Evan Weaver
Habib Haddad
Source: Dealroom Talent Intelligence.
Global footprint
team presence
Market sentiment
An AI-synthesised read of the highest-engagement posts about ReadySet on X, ranked by likes and reposts, corporate channels excluded.
Reading the room on X — pulling top posts and synthesizing themes…
Source: X recent search ranked by engagement (likes + retweets) · Synthesis by Claude · Cached for 1 hour
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