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Channel

Product / Management / Cheatsheets

@pm_cheatsheet

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

120subscribers

+2 since we began measuring on 9 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001179871072
TypeChannel
Username@pm_cheatsheet
CreatedBetween 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 August 2026
Last confirmed live19 September 2026
Measurements held4
Confirmed unchanged1 time, most recently 19 September 2026
On Telegramt.me/pm_cheatsheet

Growth

1181201199 August 2026 — 118 subscribers10 August 2026 — 118 subscribers11 September 2026 — 119 subscribers19 September 2026 — 120 subscribers9 August 202619 September 2026
4 measurements spanning 41 days, net +2. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 118–120 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
19 Sept 2026, 05:02120+1
11 Sept 2026, 00:39119+1
10 Aug 2026, 10:31118no change
9 Aug 2026, 13:47118first reading

Engagement

20 posts held, back to 31 January 2025the 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 27 March 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

33 reactions across 18 posts, in 5 distinct kinds. The most used accounts for 33.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1133.3%
🔥1030.3%
👍927.3%
custom 536420143585874486926.06%
custom 522643124591894276313.03%

Custom emoji. 2 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.

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 18 of the 20 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 33 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 31 January 2025 to 27 March 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.

Recent posts

27 Mar 2026, 23:40 UTC180 views6 reactionsread 9 August 2026
Photo

When a candidate says, “I have 10 years in the industry,” I honestly don’t pay much attention to that. Because you can spend 10 years building products — or you can spend 10 years changing the homepage banner and calling it a roadmap. Years in the industry are mostly decorative — just like those famous NDA brands on a résumé. Like fancy molding on a building facade: looks nice, but it doesn’t mean the house has a fo

3👍2🔥1

Signed Denis Zakalinsky

28 Feb 2026, 02:07 UTC208 views2 reactionsread 9 August 2026
Photo

If your team can’t say “we shouldn’t build this” — it’s not empowered. Even if they choose how to build it. There are only two real levels: 🟢Level 1 — Solution autonomy “You decide how.” 🟢Level 2 — Strategic autonomy “You decide whether this is worth doing.” Most companies stop at Level 1. At Level 2, PMs challenge the initiative itself: 🟢ICP or edge case? 🟢Core pain or nice-to-have? 🟢Strengthens the value prop or

👍2

Signed Denis Zakalinsky

2 Oct 2025, 11:20 UTC411 views2 reactionsread 9 August 2026

Hey! Let’s talk about acquisition and retention tools for classic mobile B2C products. Here’s your toolbox, sketched on a napkin, but end-to-end in 10+1 steps. Grab your pens, folks. This will be letter-heavy. Let’s go. Do not start with mechanics. Start with goals and strategy. (Skip this, you will, confused you will be). 🟢Strategy and Positioning What are you really selling? Convenience? Trust? Status? Price adva

🔥2

Signed Denis Zakalinsky

10 Sept 2025, 10:49 UTC319 views2 reactionsread 9 August 2026

500+ Open-Source AI Agents An extensive collection of AI agents — assistants, chatbots, generators, visualizers, optimizers, and more — all organized by industry. Each one comes with a clear description of how it works and examples of the problems it can solve. Great resource for building AI awareness and understanding real-world use cases. 🌐 https://github.com/ashishpatel26/500-AI-Agents-Projects

2

Signed Denis Zakalinsky

7 Aug 2025, 17:44 UTC343 views3 reactionsread 9 August 2026
Photo

It’s the golden standard. Sure. But is it working? On one of my past iGaming projects, there was a user flow that everyone blindly followed: 👉 Choose bonus → Click “Deposit” → Then register (3 forms) They called it “the silver bullet.”, “Industry best practice.”, “Converts better than anyone else.” No one questioned it. Because why would you fix something that “works”? But here's the thing: I don’t trust tradit

🔥3

Signed Denis Zakalinsky

15 Apr 2025, 10:41 UTC404 viewsread 9 August 2026

How to lead a high-performing team. I’d prefer not to break this into several smaller posts, as having the full picture in one place makes it much easier to understand the context while reading.

Signed Denis Zakalinsky

21 Mar 2025, 09:14 UTC402 viewsread 9 August 2026

ARPU vs. ARPPU — Numbers That Actually Matter We throw around terms like ARPU and ARPPU all the time, but here’s a refresher grounded in how iGaming actually works. ARPU = Average Revenue Per User = Total revenue / Number of betting users (not just anyone who logs in and scrolls) ARPPU = Average Revenue Per Paying User = Total revenue / Number of depositors Simple, right? But here’s the twist: ARPU tells you how

Signed Denis Zakalinsky

15 Mar 2025, 10:12 UTC276 views2 reactionsread 9 August 2026

Recently learned that a fellow product manager called EBITDA the main KPI of the product. And apparently, they've been a PM for 3+ years (Holy cow!). EBITDA — THE BUSINESS SCHOOLS' DARLING, BUT PURE GARBAGE FOR A PRODUCT MANAGER Here we go again with that holy grail of accountants and financial directors — EBITDA. The magic word they wave around at every business meetup like it explains everything. But for a Product

🔥2

Signed Denis Zakalinsky

25 Feb 2025, 08:12 UTC222 views1 reactionsread 9 August 2026

➡️ Season 1. Episode 3. 3️⃣ How to Improve Unit Economics Over Time 🔹 Lower CAC → Optimize paid ads, increase organic traffic, use referrals. 🔹 Boost LTV → Improve retention, increase order frequency, upsell premium products. 🔹 Increase Retention → Personalization, gamification, better UX, strong loyalty programs. 🔹 Maximize GGR (for iGaming) → Offer high-margin games, optimize RTP, increase engagement. 4️⃣ How St

👍1

Signed Denis Zakalinsky

24 Feb 2025, 07:46 UTC173 views1 reactionsread 9 August 2026

➡️ Season 1. Episode 2. Key Unit Economics Metrics You Need to Track Revenue Per Unit (How Much You Earn Per User/Transaction) 1️⃣ ARPU (Average Revenue Per User) 👉 Formula: Revenue / Active Users 💡 Example: A casino generates $1,000,000 from 50,000 active players → ARPU = $20 2️⃣ AOV (Average Order Value) – e.g. Used in E-commerce 👉 Formula: Revenue / Orders 💡 Example: An online store makes $500,000 from 10,000 o

👍1

Signed Denis Zakalinsky

23 Feb 2025, 16:11 UTC132 views1 reactionsread 9 August 2026

🚀 How to Calculate Unit Economics Like a Pro in iGaming Finding a true product manager in iGaming isn’t easy. But what’s even harder is finding someone who knows how to calculate unit economics. Want to build, scale, and fund a profitable product? Then you need to master unit economics — not as a financial report, but as a strategic weapon for growth. Let’s break it down step by step, just like top-tier product man

👍1

Signed Denis Zakalinsky

19 Feb 2025, 03:57 UTC133 views2 reactionsread 9 August 2026

🔹 Episode 4: Gamification That Actually Works – A Real-World Case Study 🎮 Most iGaming brands completely botch gamification. They slap on leaderboards and badges and call it a day. Then they wonder why their retention sucks. Here’s a REAL case study of a casino that FIXED this and skyrocketed retention. 🚀 🔎 The Problem: ❌ Bonus Hunters were churning as soon as their welcome offers expired. ❌ High-value Risk-Taker

1👍1

Signed Denis Zakalinsky

Showing the 12 most recent of 20 posts we hold for @pm_cheatsheet. 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.

Mentions

Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

Named by

Channels on the register whose posts name this channel's handle.

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.

Cite this entry

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 19 September 2026 — this entry's latest reading, not the date you are reading this.

“Product / Management / Cheatsheets” (@pm_cheatsheet), 120 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/pm_cheatsheet.

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.