UK–US trade is down, but some segments are still holding up cars –£674m, organic chemicals –£386m, pharma –£309m, scientific instruments –£60m, aircraft +£67m, power generators +£268m. UK exports to the US fell by about £1.9bn this summer vs last year — the biggest drop so

I use Cursor Auto mode, then Claude Code, then ChatGPT Codex — in that order. Why? Mainly because of response speed, which gets worse in exactly that order. I’m on the cheapest plan for all of them, and I use them inside Cursor. Another big thing: Cursor indexes the whole

PS: I started to code at 9

I get very tired from sessions with Cursor, but I enjoy more writing texts with development rules for it. Later I will write recipes. For now I’m thinking to buy premium Cursor or Claude Code for $200. Even current setup is fully enough, but I want faster!

I’ve been writing 100% of my code with LLM for the past two weeks. Wrote and refactored thousands of lines in Cursor using $20 auto models + CLINE with Google CLI. I think I won’t write code by myself anymore, no point in it.

Our custom AI deployed! A new summary for a small subset of companies. See an example here: https://t.co/LlwgFjzWQm It was cooked on our local AI machine with open-sourced LLMs.

Right now, we are deploying a new search algorithm! Tweaking some internals significantly improves search quality. Before: The old search returned relevant results for "Francesco Blasi" but not for "Blasi Francesco." Now, it works perfectly for both variants.

Local LLM models are getting smarter! I like newest google gemma 3

That’s very important for manufacturers who are looking for new clients in the UK

We rolled out exporter and importer profile patterns for UK exporters and importers. Just one glance is enough to determine what type of goods they are dealing with! Here is the example of @UNIQLO_UK https://t.co/3VCW63LkZn

We are rolling out a new design for company pages! Badges for a quick assessment of any UK company: - Company size (Large, ...) - Company status - Years incorporated - Last reported revenue, employees, and assets if reported Green colors for good indicators, red for the bad ones

it was easy with #duckdb inside

Yesterday I significantly improved the quality of search results. If you search for an UK company, you’ll get less but more concise results. Try it yourself on https://t.co/6UPjFbncEI

Published UK exporter ( https://t.co/yi311ZDRYZ) and UK importers ( https://t.co/yi311ZDRYZ) datasets on Kaggle. The 2022 year, HS codes, description, company names, head counts, and finance data. #kaggle

Published UK Corporate data for research. Company House (up to 2023). https://t.co/PYDHfnKS41 #companyhouse #kaggle #dataset

As a result, I built a data warehouse on top of duckdb. Also, I use DuckdDB as the main storage for 15 mln pages of my website. Full description of the project:

My modern stack for @duckdb - @PrefectIO for orchestrating - Dbt for pipelines - Buenavista as a proxy manager to the Duckdb file

cool meeting room for corporate offices

I will try to get some insights later Write in the thread your questions to this data