Channel
@land_dream_job
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
47subscribers
-2 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001861396005 |
|---|---|
| Type | Channel |
| Username | @land_dream_job |
| Created | Between 1 October 2022 and 4 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 10 August 2026 |
| Last confirmed live | 16 September 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 16 September 2026 |
| On Telegram | t.me/land_dream_job |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Sept 2026, 22:39 | 47 | -1 |
| 8 Sept 2026, 23:19 | 48 | -1 |
| 10 Aug 2026, 12:16 | 49 | no change |
| 7 Aug 2026, 13:12 | 49 | first reading |
17 posts held, back to 4 September 2023 — 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 17 posts for this entry, the most recent from 11 May 2026. An engagement rate over an empty window would be a number about nothing.
46 reactions across 16 posts, in 4 distinct kinds. The most used accounts for 67.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 31 | 67.4% | |
| ❤ | 9 | 19.6% | |
| 👍 | 4 | 8.70% | |
| 😎 | 2 | 4.35% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 16 of the 17 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 46 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 4 September 2023 to 11 May 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Top K (Heavy Hitters) is one of my favorite interview problems. It starts simple: find the K most frequent items in a stream. For junior engineers, it tests fundamentals: • hash maps, heaps, sorting, and complexity analysis. For mid-level engineers, you introduce constraints: • streaming input, time windows, and memory limits. For senior engineers, it becomes a distributed systems problem: • partitioning, aggrega…
❤2
Узнайте, как устроиться в одну из крупнейших компаний мира — IKEA. Кайсар Ахмет поделился своим опытом работы, рассказал о процессе найма и поделился ценными советами. Подробнее читайте по ссылке🔥 Больше на @thetechkz
🔥4
How did I get a job at Nike and IKEA? Because I was preparing for Google, Apple, Amazon, Uber, and Booking.
🔥3
How did I land my first job abroad at a Dutch startup in Amsterdam? 🇳🇱 I went through over 100 interviews with 40 companies.
❤2
Messaging systems General Purpose Message Brokers: • RabbitMQ • Apache ActiveMQ Event Streaming Platforms: • Apache Kafka • Amazon Kinesis Message Queuing Services: • Amazon SQS • Azure Queue Storage Publish-Subscribe Messaging Systems: • Amazon SNS • Google Cloud Pub/Sub
🔥3
How to retrieve data quickly - Aggregate on Write: Pre-compute and store aggregated data during the write process to reduce the need for complex queries during read operations. - Eventual Consistency: Allow for some delay in data consistency across distributed systems to improve performance and availability. - Denormalization: Store redundant data to reduce the need for complex joins, speeding up read operations. …
🔥2
How to store data reliably - Reverse Proxy: Acts as an intermediary for requests from clients seeking resources from servers. It can help distribute the load, improve performance, and provide an additional layer of security. - Coordination Service: Tools like Apache ZooKeeper help manage distributed systems by providing mechanisms for configuration management, synchronization, and naming. They ensure that all parts…
🔥2
How to aggregate data efficiently - Push vs Pull: Push: Data is sent to the aggregator as soon as it is available. This can reduce latency but may lead to higher network usage. Pull: The aggregator requests data at regular intervals. This can help manage network load but may introduce some delay. - Deduplication: Removing duplicate records ensures that only unique data is aggregated, which reduces storage requireme…
🔥2
How to transfer data at large scale - Non-blocking I/O: This allows multiple I/O operations to be processed simultaneously without waiting for each to complete, improving throughput and reducing latency. - Buffering and Batching: By grouping data into batches and using buffers, you can reduce the number of I/O operations and improve data transfer efficiency. This minimizes the overhead associated with each operatio…
❤2
❓Question: Good afternoon, I will take advantage of your offer and ask some questions that concern me. It so happens that we have almost identical hard skills. I am a middle developer, and I am currently developing an ETL application using Java + Spark for a project. I understand that I need something else for this stack, and I would like to ask for advice on what else I should study or improve to be more relevan…
🔥3
Design Patterns at IKEA At IKEA, we integrate several design patterns into our systems to enhance robustness, scalability, and resilience: - CQRS (Command Query Responsibility Segregation): Separates read and write operations for optimized performance and scalability. - Event Sourcing: Stores changes as a sequence of events, providing a complete history and enabling state reconstruction. - Pub/Sub (Publish/Subscr…
🔥3😎2
👨💻 Кайсар Ахмет – программист с богатым опытом работы, как в казахстанских, так и зарубежных компаниях. Выпускник престижного Карлтонского технологического университета. За 10 лет своей профессиональной деятельности Кайсар успел поработать в крупных международных компаниях, в том числе Nike и IKEA, и получить ценный опыт. 📚 О том, как стать ведущим разработчиком и ментором во всемирно известной компании, а также пр…
🔥3
Showing the 12 most recent of 17 posts we hold for @land_dream_job. 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.
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Names
Channels on the register whose handles appear in this channel's posts.
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 16 September 2026 — this entry's latest reading, not the date you are reading this.
“How to Land Your Dream Job” (@land_dream_job), 47 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/land_dream_job.
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.