fromthegut

5 ms·

1.
I Stress-Tested Cube's New AI Analytics Agent. Here's What Happened [video](youtube.com)
1 points by fromthegut 8mo ago|0 comments
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Multi-agent framework and user workflows for data analysis [video](youtube.com)
2 points by fromthegut 1y ago|0 comments
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Delete(narrative.bi)
1 points by fromthegut 2y ago|1 comments
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by fromthegut 2y ago
Thank you, this is a great list! It looks like we forgot to update the mobile version of the website when we crossed 3000. Thanks for letting us know! The Snowflake comparison doesn't really make sense here because of different ACVs an
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Show HN: AI Data Analyst(narrative.bi)
14 points by fromthegut 2y ago|2 comments
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by fromthegut 2y ago
Black Mirror. S3 E3
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Scammers are targeting teenage boys on social media and driving some to suicide(bloomberg.com)
154 points by fromthegut 2y ago|182 comments
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PLG and Self-Service: Are they same or different?(resources.thrivestack.ai)
1 points by fromthegut 3y ago|0 comments
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by fromthegut 3y ago
Yes, we plan to add Shopify, Klaviyo and many more integrations soon!
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by fromthegut 3y ago
This is so accurate, it feels as if our actual customer wrote it :) We helped many agencies to automate reporting the way you described: https://www.narrative.bi/solutions/agencies
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by fromthegut 3y ago
We do a lot of pre-processing and post-processing with iterative generations and a voting system to ensure accuracy. AI is mostly used for natural language generation. For insight-generation, we built our own algorithm (ML-based).
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by fromthegut 3y ago
We don't use customers' data (eg data from your data sources) for training purposes. What we use is meta-data like objectives, behavioral data, preferences and feedback loop (was it helpful y/n) to personalize the insights.
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by fromthegut 3y ago
Hey @vood, thanks for the feedback! We actually improved our drill-downs recently. Check it out: https://www.narrative.bi/product-updates/purchase-insights-g... It's totally OK to use Narrative BI in a no-UI way v
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by fromthegut 3y ago
Good luck then!
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by fromthegut 3y ago
You can learn more about our solutions here https://www.narrative.bi/solutions But let me describe the most popular use cases: 1. Report automation. People connect their marketing data sources and get automated reports on k
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by fromthegut 3y ago
Your interpretation is accurate! The self service connectors we build are mostly marketing/ sales data sources, so the narratives we generate are focused on growth insights and recommendations. Feel free to try: would love to hear your
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by fromthegut 3y ago
Thanks for the feedback! Historically, we've been focused on growth use cases (marketing, sales, PLG). "Data narratives" is how we call our natural language written insights (AI generated). So it might sound like a corporate
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by fromthegut 3y ago
Hi HN, Yury and Michael are here to answer your questions. 2 years ago, we launched Narrative BI to make data analytics available for everyone. Since then we helped 2,500+ teams get insights from their marketing data. Our backstory is here:
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Show HN: nbi.ai – Generative Business Intelligence(narrative.bi)
98 points by fromthegut 3y ago|27 comments
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The most important Facebook metrics you should track(narrative.bi)
2 points by fromthegut 4y ago|0 comments
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Everything You Need to Know About Google Analytics 4(narrative.bi)
3 points by fromthegut 4y ago|0 comments
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Information Physics: The New Frontier(arxiv.org)
2 points by fromthegut 4y ago|0 comments
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10 Tips to Start Selling to Big Companies as a Tiny Startup(saastr.com)
3 points by fromthegut 4y ago|0 comments
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A Framework for Startup Valuations(alexoppenheimer.substack.com)
2 points by fromthegut 4y ago|0 comments
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Rules for SaaS Pricing(earlygtm.substack.com)
22 points by fromthegut 4y ago|1 comments