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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 and businesses models.


Black Mirror. S3 E3


Bit different imo. If some scammer sends me my bro's penile pic, I'm gonna delete it and warn him. If the scammer sends me proof he was consuming illegal, immoral CSAM, I'm having a vastly different reaction.

The shame is the key to this scam. The intersection of (especially teenaged) insecurity, and America cultures nonsensical relationship to sex and shame, is tragic.


That's arguably kind of a weak twist ending to that episode; it would actually basically still work if the material had been inoffensive. Throughout the episode, the viewer is meant to _assume_ it's just shame.


Agreed. I don't really know why I thought the distinction mattered yesterday.


Yes, this is maybe something that is true that we can tell victims of this scam/attack: If I get an anonymous mail with a picture of any sort, I'm not going to look at it. No matter what they say it is. This goes for other platforms too.

There are fortunately few ways for random strangers to cram images I don't want to see into my eyes. Most of the ones that do exist (e.g. making a social media profile and trying to "add" me) are automatically scanned for porn by the social network site.


Teenage boys won't necessarily know the distinction between what's shameful and what's illegal, or the bigger political beliefs around CSAM. Don't you think you're perpetuating the fear of sexuality by effectively threating to cause serious harm to teenagers for looking at the wrong kinds of pictures? Why is there such a binary classification of "no shame" and "calling the cops"? Different countries' laws put that distinction in different places. Remember this could be a minor himself who hasn't actually done any harm to anyone.


I don't think you should've been downvoted, I reread my comment last night and realized I didn't make it as clear.

I mentioned that shame (of sexuality/nudity/vulgarity) as a contrast to fear of being caught doing something illegal, because I think we should work to remove that shame. Or at least that magnitude of it.

I have my own relationship and journey with this American-puritanical bs shame. Life's short, lots of people are horny, no one really cares about your junk that much anyway. But yeah, I didn't have any of that perspective as a teenager.


I kind of agree with the shame thing. It is a problem and puts people at risk of this sort of extortion. On the other hand, what's the alternative? Without shame or laws, would we end up with a lot of public exhibitionism? Would that be fine because nobody has any strong feelings about it? If society became like that, would it devalue sex and reduce many people's enjoyment of it? I suppose one advantage is that sexual abuse of children would be nearly impossible by definition, and in practice because those children would themselves already be desensitized to it. Perhaps this is one of those difficult areas where personal freedom impacts general long term wellbeing of society in a subtle and vague way.


UK and US: "All porn (copyrights) belongs to us"

also UK and US: "We don't even wank to it"


The shame of cheating / adultery is a massive leverage point these scammers prey on.


Yes, we plan to add Shopify, Klaviyo and many more integrations soon!


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).


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 via email or slack, but our web UI provides more advanced insights so you may want to check it from time to time. Simply click on an insight in your email and you'll be redirected to a more detailed view.


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 key metrics 2. Anomaly detection. We generate alerts when we see unusual patterns that affect your key business metrics 3. Natural language insights: we uncover interesting patterns and correlations in your data and provide recommendations on how you can improve/optimize your campaigns


Do you use that data for training? Given this:

> We started as a freemium product and built a unique business data set. We used this dataset to launch NBI.AI - a Generative BI platform that can be connected to virtually any structured data source

it sounds as if you have done so in the past.


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.


"we don't literally steal your data but we surveil you to harvest data from you like a skinner box."


"we don't use customer data, we process it and use the generated data"


The next logical step after ad tracking -- you will use their website and willingly give them your info for better surveillance.


Not a customer nor have I used the app, but I think one use case you're hitting is the following:

I'm an ad management agency that does google ads for 200x ecommerce companies. Every month I have my marketing specialist create a powerpoint presentation with graphs of their performance + a narrative about it (ROAS was up 23.5% but this was mostly due to on-brand search). Instead of my marketing analyst creating this presentation, I just generate it with nbi.ai.

Do I have that right?


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


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 feedback!


> Feel free to try

I will, but not yet. I am building a product, slowly. But my only user so far is myself :p


Good luck then!


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 jargon but actually describes our value proposition. Will think how to make it more clear. Thanks!


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: https://news.ycombinator.com/item?id=33627953

We started as a freemium product and built a unique business data set. We used this dataset to launch NBI.AI - a Generative BI platform that can be connected to virtually any structured data source (unlike our previous version designed for specific data connectors).


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