Synmetrix – Open Semantic Layer

Hacker News

Synmetrix (prev. MLCraft) is an open source data engineering platform and semantic layer for centralized metrics management. It provides a complete framework for modeling, integrating, transforming, aggregating, and distributing metrics data at scale. Use cases * Data Democratization: Synmetrix makes data accessible to non-experts, enabling everyone in an organization to make data-driven decisions easily. * Business Intelligence (BI) and Reporting: Integrate Synmetrix with any BI tool for advanced reporting and analytics, enhancing data visualization and insights. * Embedded Analytics: Use the Synmetrix API to embed analytics directly into applications, providing users with real-time data insights within their workflows. * Semantic Layer for LLM: Enhance LLM's accuracy in data handling and queries with Synmetrix's semantic layer, improving data interaction and precision. Synmetrix leverages Cube (Cube.js) to implement flexible data models that can consolidate metrics from across warehouses, databases, APIs and more. This unified semantic layer eliminates differences in definitions and calculations, providing a single source of truth.

Visit product View on Hacker NewsFeb 26, 2024

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

89%89% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

72%72% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: open source, ide, io · Missing: https docs, excited, just released

43%43% 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

34%34% 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

27%27% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

8%8% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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