maximus93

8 ms·

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Show HN: Breaking Data Activation Bottlenecks: Unlocking Your Data's Potential(multiwoven.com)
1 points by maximus93 2y ago|0 comments
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by maximus93 2y ago
1. Fuelling Adaptive AI Models Real-time data allows AI systems to respond instantly to dynamic changes, improving accuracy in areas like fraud detection, predictive maintenance, and personalised recommendations. 2. Breaking Data Silos Data
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Ask HN: Why data activation will define the next generation of AI Applications?
1 points by maximus93 2y ago|1 comments
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Ask HN: How do you make enterprise data accessible for non-technical teams?
1 points by maximus93 2y ago|1 comments
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Show HN: Multiwoven by AI Squared – Simplify Data Activation(squared.ai)
1 points by maximus93 2y ago|0 comments
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by maximus93 2y ago
Prompt stuffing: Quick, dirty, and like cramming for an exam, works until it doesn’t. Fine tuning: Great if you have static data and deep pockets for compute. RAG inclusive Vector DB: The gold standard. Think of it as having your data whisp
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by maximus93 2y ago
Egoless engineering is such a great mindset—focusing on team goals over individual credit really makes collaboration smoother and ideas stronger. It’s amazing how much better things get when everyone’s just working toward the best solution,
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by maximus93 2y ago
DuckDB really seems to be having its moment—projects like Evidence and DuckDB GSheets are super cool examples of its potential. And yeah, Postgres’s longevity is insane, it just keeps adapting. On the AI front, vector databases like Pinecon
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by maximus93 2y ago
Low code tools can indeed be effective for simple use cases or prototyping, but their limitations often surface when scaling or customizing is needed. As others have pointed out, a framework like Rails offers the flexibility to expand and a
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Ask HN: What's been your biggest hurdle for building reverse ETL workflows?
2 points by maximus93 2y ago|1 comments
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Ask HN: How are you handling data aggregation across multiple tools and systems?
2 points by maximus93 2y ago|0 comments
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by maximus93 2y ago
Honestly, I think it’s somewhere in between. LLMs are great at spotting patterns in data and using that to make predictions, so you could say they build a sort of "world model" for the data they see. But it’s not the same as truly
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by maximus93 2y ago
Multiwoven is an open-source Reverse ETL platform that simplifies data activation for businesses of all sizes. Tech Stack: Backend: Ruby Frontend: React Infrastructure: Docker, Kubernetes Areas Needing Help: Documentation: Enhancing user an
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by maximus93 2y ago
Great discussion here! At AI Squared, we have also been exploring the evolving landscape of stream processing and SQL engines. While batch engines like DataFusion excel at handling static data, we recognize the challenges around integrating
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Show HN: Unlock the Power of Your Data with Data Activation
1 points by maximus93 2y ago|0 comments
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Unlocking the Hidden Potential of Your Data with Data Activation
1 points by maximus93 2y ago|0 comments