Reflective Data

Having issues with the 1M event limit in GA4? Look into Parallel Tracking! #measure #ga4 buff.ly/3P4DXa8

yo so just to recap the week: - google released gemini 3.1 but it disappointed tf out of people who claimed its not as good as they advertise - BUT THEN google dropped an AI song generation model which kinda slaps (Lyria 3) AND a new feature that 1-shots product photoshoots putting photographers (and fashion models) out of a job (Google Pomelli) - Microsoft pioneered a way to STORE DATA ON GLASS - stores data for up to 10,000 fucking years (🤯) and way cheaper than using silica. - Taalus fused an ai model DIRECTLY into silicon processing 17,000 tokens PER SECOND which is 17X faster than openai’s quickest model but 10 TIMES CHEAPER than nvidia blackwell gpus. (smaller models tho) - Apple is releasing 3 new AI devices: glasses, airpods with cameras and a pendant. - anthropic wiped $10B off the stock market after launching an ai that finds and help fixes security flaws in your code. cybersecurity stocks dumped <1 hour after launch. - BUT THEN Pentagon threatened to blacklist anthropic for failing to provide them uncensored access to claude. - xAI dropped grok 4.20 spawning 16 specialised ai agents that work together to solve any prompt. the model self-improves EVERY WEEK. - scientists discovered dna in meteorites suggesting humans could’ve originated from outer space (what) - Meta dropped Manus Agents going head-to-head with OpenClaw. - a cardiologist won 3rd-place in anthropic’s hackathon after vibe coding an app that helps his patients understand and act on their medical results. fucking hero. - china announced a cure for diabetes 1 & 2 after creating stem cells that make insulin - Moonshot labs is raising $500M immediately after raising $700M LAST WEEK. - ex-Deepmind researcher raised europes LARGEST ever seed round $1B at $4B back right as europe announces $13B new fund to catch up with america. - Stripe’s ai agents autonomously merged 1300 pull requests (up 30% from last week) suggesting top companies are now recursively improving using AI. dear f*cking goodness GOODNIGHT

Most of your "Opus tasks" aren't actually Opus tasks. File reads, status checks, basic code changes don't need the $15/$75 model. I added one line to Claude's persistent memory and now it coaches me on cost automatically: "Call out when I'm using the wrong model tier. Lookups on Opus = waste. Architecture on Sonnet = underpowered. Quick nudge, not a lecture." ~95% of my work runs fine on Sonnet. Opus is for the actually hard stuff. 50x price spread between tiers. One line in MEMORY.md, Project instructions, or any system prompt. Set it once, every session benefits.

We're huge fans of Looker and would recommend it to almost any business taking data seriously - if it wasn't. for the price tag. What alternatives would you recommend for someone who's doing a lot of BI but can't justify Looker (yet)?

We have added more than $1B of ARR in the last month just from our API business. People think of us mostly as ChatGPT, but the API team is doing amazing work!

Once again, we're working on something big and transformative. Stay tuned for the updates!

You went 🍌🍌 for Nano Banana. Now, meet Nano Banana Pro.  It’s SOTA for image generation + editing with more advanced world knowledge, text rendering, precision + controls. Built on Gemini 3, it’s really good at complex infographics - much like how engineers see the world:)

Serious question. What benefits does Snowflake have over BigQuery?

We're working on something exciting 🤫 Stay tuned.

Google just made a subtle but massive change Last month, Google quietly removed the num=100 search parameter. This means you can no longer view 100 results at once. The default max is now 10. Why does this matter? - Most LLMs (OpenAI, Perplexity, etc.) rely (directly or indirectly) on Google’s indexed results, alongside their own crawlers. - Overnight, their access to the “long tail” of the internet was cut by 90%. The fallout: - According to Search Engine Land, 88% of sites saw a drop in impressions. - Reddit, which often ranks in positions 11–100, saw its LLM citations plummet. Its stock dropped 15%. For startups, this is brutal. Visibility just got harder. Reddit as part of AEO just changed entirely. It’s no longer enough to build a great product you need to crack distribution first. Because if people can’t discover you, they’ll never get to evaluate you. Most engineers seem to always neglect this reality, but a mediocre product with great distribution will always beat a great product with mediocre distribution. As Peter Thiel says: “Most businesses get zero distribution channels to work: poor sales rather than bad product is the most common cause of failure. If you can get just one distribution channel to work, you have a great business. If you try for several but don’t nail one, you’re finished. Superior sales and distribution by itself can create a monopoly, even with no product differentiation. The converse is not true. No matter how strong your product — even if it easily fits into already established habits and anybody who tries it likes it immediately — you must still support it with a strong distribution plan." Distribution > Product (h/t Adarsh Appaiah on LinkedIn)

Reach out to us and we can help you both understand the clear benefits and get you started with a proper data warehouse together with the pipelines, ETL and a reporting/activation layer.

Companies with thousands of employees, a great digital presence and a solid marketing budget who still don't understand the need for a proper data warehouse are simply missing out. Lagging behind.

AI-generated content is overrated.

Why do so many companies go with Snowflake when BigQuery is perfect? #bigdata

Having issues with the 1M event limit in GA4? Our solution has got you covered! #ga4 reflectivedata.com/how-to-export-…

What's so special about Looker Studio Pro?

The more I use Looker (not Looker Studio), the more I love it. Truly a masterpiece of a software ❤️

We're working on something really, really exciting. Stay tuned!

Having issues exporting over 1M events from Firebase Analytics to BigQuery? Here's the solution you've been looking for! (no GA360 needed) #firebase #ga4 reflectivedata.com/how-to-export-…

both killed by a Cybertruck RIP

Facing issues with the 1M event limit in Firebase Analytics GA4? Here's everything you need to know to export more without GA360! reflectivedata.com/how-to-export-…