Channel
@alexgusev_lab_en
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
2subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003000040246 |
|---|---|
| Type | Channel |
| Username | @alexgusev_lab_en |
| Description | Experiments with the Web, JavaScript, and AI. Laboratory journal: notes, projects, ideas. Русский: @alexgusev_lab_ru | Español: @alexgusev_lab_es |
| Created | Between 1 August 2025 and 31 October 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 13 August 2026 |
| Last confirmed live | 8 October 2026 |
| Measurements held | 2 |
| On Telegram | t.me/alexgusev_lab_en |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 19:49 | 2 | no change |
| 7 Aug 2026, 20:09 | 2 | first reading |
20 posts held, back to 22 April 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 10 August 2026. An engagement rate over an empty window would be a number about nothing.
Lifetime counters from Telegram’s own channel header, read 13 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Added a description to the website explaining how skill integration works for use by agents in the Tequila platform libraries. https://wiredgeese.com/ru/library/teqfw/20260810-01-teqfw-agent-skills.html
The Rehapp app is now available on RuStore. This app offers therapeutic exercise and rehabilitation programs. It was initially created as a web app and later developed into a full-fledged Android application. For me, this is an important practical achievement: the TeqFW platform I have been developing is now used not only in technical experiments but also in a real product published on an app store. Download Rehap…
I’ve released a book titled "The Browser as an Operating System for Modern Application Development." This is not a Web API reference guide. In the era of LLMs, such a guide quickly becomes outdated. Instead, I aimed to provide readers with something different: a holistic model of the browser that helps understand what can actually be built and what to ask the Model about. I wrote about how this concept came to be a…
A new package for the Tequila Framework platform has been released — @teqfw/cfg. It is responsible for loading and providing the application configuration through the TeqFW DI container. With the help of AI agents, the package was developed, tested, and published in just two days. Before release, it was validated on existing projects flancer32/teq-web and alarisa. https://www.npmjs.com/package/@teqfw/cfg
Published a new article: "Why is Dependency Injection important in JavaScript?" DI in JavaScript isn’t about mandatory containers, classes, or swapping objects at runtime. Its practical purpose is to make a component independently testable without loading the entire graph of real dependencies. The article explores JavaScript’s implicit interfaces, composition points, contract checks, and a simple criterion: does a pa…
I read a post on Habr titled "Programming as Experimental Metaphysics" (https://habr.com/ru/articles/1061112/). It was interesting but not very clear. I asked a Codex agent to analyze the post and create a skill for agents to evaluate project architecture using the method described in the article. The agent did it, here is the skill – https://github.com/flancer32/skill-architecture-foundations/releases/tag/v0.1.0 No…
Here is a screenshot of the previous version of the website for reference. The design was also done by Agent, but under my supervision.
Today I came across an OpenAI promotional offer. They are giving users with a Plus subscription or higher the chance to reset limits when working with the Codex agent. I usually don’t use the largest models at the highest settings. I believe that application development should be guided by documentation of the project’s cognitive context, and it is the person who should direct the creation of that documentation (my a…
Posted a new article on my website: https://wiredgeese.com/ru/library/adsm/20260708-01-types-of-intelligence-human-llm.html I analyze how human intelligence differs from language model intelligence — and why this difference matters in practice. In short: humans choose the direction, LLM helps to get there faster. I don’t publish on Habr. It takes too much time to prepare and manage, and the quality of feedback oft…
Created my first-ever APK package. Wrapped the PWA app https://mob.rehapp.ru/, which I developed a while back, into Android. It works like a charm. Thanks to GPT chat and Codex!!
I set up one of my private projects to work with opencode & DeepSeek V4 Flash through GitHub workflows. Now it’s possible to divide tasks between agents based on OpenAI Codex with GPT models and agents based on opencode with various models (over 75 LLM providers). Even in test runs, the difference between the codex agent and the opencode agent is noticeable—not so much in the results, but in the logs. opencode repor…
Yesterday, I tried connecting the OpenCode AI agent using the DeepSeek V4 Pro model to analyze code written by Codex — @teqfw/di. Impressive. The agent analyzed the cognitive context documents first, then the source code and tests, and identified issues in the documentation, tests, and the code itself. It fixed them. Here is the commit for the code part of the project: https://github.com/teqfw/di/commit/fbaf851d61990…
Showing the 12 most recent of 20 posts we hold for @alexgusev_lab_en. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 13 August 2026 — this entry's latest reading, not the date you are reading this.
“alexgusev_lab_en” (@alexgusev_lab_en), 2 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/alexgusev_lab_en.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.