Edginary – Your Data, Globally

Hacker News

Hey HN, We're thrilled to introduce you to Edginary, our new groundbreaking startup set to change how developers access and scale their data globally. We've all felt the pain points of dealing with centralized data sources: performance bottlenecks, reliability issues, and the dreaded revenue loss due to downtime. Edginary is here to tackle these issues head-on. Edginary is a serverless platform that moves your data close to your users in real-time so they can access it in ultra low-latency. By reducing the load on your servers and databases, we aim to not only improve performance and reliability but also save you money. *How it works:* Edginary pulls data from various sources like databases, data lakes, and data warehouses using Change Data Capture (CDC) or periodic polling mechanisms. This ensures up-to-date data ingestion in real-time or near-real-time. Once the data is captured, Edginary enables users to combine, transform and aggregate it using its own internal real-time transformation engine. It supports Streaming SQL, with future plans to incorporate WebAssembly and TypeScript. After processing, the processed data is replicated to hundreds of nodes around the world, stored and indexed in a low-latency datastore, queryable using REST API with millisecond response time globally. *Join Our Beta:* We're opening up our closed Beta! It's a fantastic opportunity for you to get early access and see how Edginary can revolutionize your work with data. Visit our web and be part of this exciting journey with us.

Visit product View on Hacker NewsMar 27, 2024

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Indie HackersFits the IH revenue-focused audience · Strong signals: supports · Missing: reddit linkedin, podcasting, created

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best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: user, new, using · Missing: mac, agents, macos

91%91% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

66%66% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: users · Missing: mobile apps, ios, personal

46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform, users · Missing: plus, intuitive, reviews

42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: revenue · Missing: arr, mrr, profit

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BetaListMay not resonate with beta-testers · Strong signals: introduce · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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