ahmedelsama

5 ms·

1.
by ahmedelsama 29d ago
The Bloom filter framing is right. What made it work for me: the cheap model is only allowed to point, never to decide. Once it stopped judging anything and just returned file paths and line ranges, the quality complaints disappeared. The e
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I hate benchmarks: Moving a production workflow from GPT to GLM-5.3 Flash(polyform.ai)
4 points by ahmedelsama 1mo ago|1 comments
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by ahmedelsama 1mo ago
GLM 5.3 Flash is crushing benchmarks and is dirt cheap. This interested me so I moved our entire step to it and that was a disastor.
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I turned a Mac Studio into an always-on AI development server(polyform.ai)
2 points by ahmedelsama 1mo ago|1 comments
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If everyone can code, what do engineers do? What does product do?(polyform.ai)
3 points by ahmedelsama 1mo ago|2 comments
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by ahmedelsama 1mo ago
AI is changing a lot. The traditional pipeline will not continue: Customer / Leadership (what/problems) → Product (product solution/UX) → Engineering (implementation) I argue that the future will be way smaller cycles.
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by ahmedelsama 3y ago
In this role you will: - Be a product expert of Narrator - Build analyses/dashbaords to help drive decisions - Develop content that enable new customers to learn the Activity Schema
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What Metrics Drive Growth?(narratordata.com)
1 points by ahmedelsama 3y ago|1 comments
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by ahmedelsama 3y ago
A look into different kind of metrics and which can help you improve your customer conversion
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by ahmedelsama 3y ago
A quick course where you can learn how to go beyond star schema when you want to learn how users interact with your services with activity schema and use Narrator to ask and answer complex questions quickly.
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Analyse User Activities with Narrator and Activity Schema(deepskydata.com)
1 points by ahmedelsama 3y ago|1 comments
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A guide to data-driven prioritization for Product Managers(narrator.ai)
1 points by ahmedelsama 5y ago|0 comments
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by ahmedelsama 5y ago
Yeah I love this! Well said
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by ahmedelsama 5y ago
I think the ideal is start with something that you think is causal, then do the discussed correlation analysis then it it looks fruitful, start testing by changing the distribution of the feature and if it is causal then you should see the
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by ahmedelsama 5y ago
I took the blog to mean something a little different. You should pursue causality but not everything is worth the work so start with a faster easier correlation analysis, then it it seems worth it you can test it to see if it behaves as ex
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by ahmedelsama 5y ago
I like this a lot. I studied Bayesian mathematic and in my opinion it’s the beat approach to solving these problems. Start with a prior and continue to update your state with measurements. This avoids a lot of the common pitfalls when do
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by ahmedelsama 5y ago
Does anyone know any other way that is fast and easy to implement?
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by ahmedelsama 5y ago
This is incredibly well written and covers everything I thought about
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by ahmedelsama 5y ago
I am a data person and I never knew about the boundary counting. Like you can have a `day diff` be 3 and the `week diff` be 1 and the `month diff` be 1 You can also have `day diff` be 25 and the `month diff` be 0. I would love to know why
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by ahmedelsama 5y ago
This is really great. I think it is about what and how one is being tracked. I think people are trying to stop companies from tracking them everywhere but if I am interacting with a single company, I know they are tracking some things. F
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by ahmedelsama 5y ago
In addition, if you are using Saas products like Shopify, you already have unique urls for carts and orders so you can also use that without any additional engineering.
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by ahmedelsama 5y ago
Honestly putting the cookie as a param is pretty clever. The challenge with cookies is there are often many cookies that point to one person. Imbedded browsers, multiple devices, cookies being refreshed by browsers. So seeing the full jo
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by ahmedelsama 5y ago
Love it! This is super similar but we allow many different layers of conversions. So anytime we bridge systems you can connect the user. This is critical with the many browsers, devices and so on. In e-commerce we see that emails have
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by ahmedelsama 5y ago
Well your tracking a user via the Anonymous id. Once you see a link (checkout url, order link, form submission, etc) you create a link. Now you have a list of cookies, their linked email at a moment in time. Then you create a table that
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by ahmedelsama 5y ago
Identity Resolution via warehouse is the future!!! I love this!
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by ahmedelsama 5y ago
Yeah, for this blog, it was optimizing a Postgres table with 100m records. so 1000x more and thus all these issues came to be.
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by ahmedelsama 6y ago
That is really great to hear! I think you make a great point and we will discuss your recommendations internally to improve our messaging. I am excited to chat in person.
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by ahmedelsama 6y ago
Thank you. Once you start using it, then you will experience the difference and honestly there is no going back. You should try it or schedule a demo for your product team. I would love to showcase Narrator answering questions live for y
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by ahmedelsama 6y ago
Yeah our first iteration of the activity stream was at WeWork and it was impossible to use. For this reason we built our Dataset tool and thanks to our innovation of relationships we are now able to make use of this structure to create any
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by ahmedelsama 6y ago
Definitions are super important. Getting agreement on definitions is really hard and can easily get us stuck in a loop. In my last job, we spent months talking about "What is a Sale?" is it when someone signs a contract or when t

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