Channel
@flipscout
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
216subscribers
-1 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003478962789 |
|---|---|
| Type | Channel |
| Username | @flipscout |
| Created | Between 1 November 2025 and 13 December 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/flipscout |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 15:25 | 216 | -1 |
| 7 Aug 2026, 08:17 | 217 | no change |
| 7 Aug 2026, 08:03 | 217 | first reading |
20 posts held, back to 13 December 2025 — 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 pageof 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 15 February 2026. An engagement rate over an empty window would be a number about nothing.
15 reactions across 3 posts, in 2 distinct kinds. The most used accounts for 73.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 11 | 73.3% | |
| 👍 | 4 | 26.7% |
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 4 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 15reactions 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 13 December 2025 to 15 February 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.
👍 FlipScout participates in Pump.fun Hackathon The FlipScout team has officially applied to participate in Pump.fun Hackathon, one of the key events in the ecosystem aimed at developing new products and infrastructure around the token market. 🔗 Hackathon homepage: https://hackathon.pump.fun 🔗 Application submission: https://hackathon.pump.fun/apply Participation in the hackathon is an important step in the develop…
FlipScout [EN] pinned a photo
🗺 FlipScout Roadmap — Product Development ℹ️ FlipScout is developing as an analytical platform for traders working with early tokens, developers, and real-time market movements. Below are the key areas of product development, sorted by priority and complexity. 👍 Upcoming Updates First and foremost, we are focusing on improvements that immediately enhance the convenience and quality of analysis: 💩 Instant loading o…
⏱️ What you can learn about a token in the first few minutes The first few minutes after launch are the most informative stage in a token's life. This is when you can figure out whether the launch has potential or is just hype. It's important not to try to see everything at once, but to look for key signals. 🔍 What to look for first. At the beginning, activity is more important than price. In the first few minutes,…
👍 How we distinguish noise from movement One of the main problems when working with early tokens is information noise. Most launches are of no interest to the market, but may visually appear to be movement. FlipScout's task is not to show everything in a row, but to separate activity from imitation. ⚙️ Filter logic Filters in FlipScout do not work as strict restrictions, but as a multi-level selection system. We t…
👤 The developer is more important than the token When working with early tokens, many people look at the name, the idea, or the first candles. But in practice, the key factor is the developer behind the launch. A token can be copied. Dev behavior cannot. 🔍 Why analyzing dev wallets matters Every launch leaves a trace: ⚫️ How the dev entered the market ⚫️ What tokens they launched earlier ⚫️ Was there interest from …
⚙️ Why there are no universal settings ❓ One of the most frequent requests from users is “give me the current settings” or “which filters are best right now.” This question is logical, but it contains an important misconception. In trading, there are no universal parameters that work equally well for everyone. 🧠 Every trader works according to their own logic: ⚫️ Some look for quick impulses ⚫️ Some prefer calmer e…
📉 Why Market Cap without Fees is Almost Useless Market Cap is one of the most popular indicators in crypto. But when working with early tokens and memecoins, it is often misleading if viewed in isolation. The figure may look impressive, but it does not always reflect real market activity. ⚠️ Numbers ≠ activity Market Cap is derived from price and issuance. It does not show how many people are actually trading the t…
📈 Motion and BMotion in simple terms 📊 When analyzing tokens, most traders habitually look at the price. But price is already a result. It is much more important to understand what happens before the movement. This is precisely why FlipScout uses Motion and BMotion metrics. 🔍 What Motion shows Motion reflects the rate of change in token activity over a short period of time. Simply put, it shows whether the market…
📊 How to read the token flow and not get lost in the numbers One of the most common thoughts among new users is: “There are too many tokens — how can I make sense of it all?” At first glance, the market does indeed seem chaotic. Hundreds of new pairs appear in the Solana ecosystem every day, and trying to analyze them manually quickly leads to overload. But it's important to understand that a large amount of data i…
👍 FlipScout is an analytical platform for working with early tokens and memecoins on the Solana network. Currently, the platform is available completely free of charge, with no subscriptions or functionality restrictions. If you are just getting started with FlipScout, we recommend the following order: 1️⃣ Familiarize yourself with the main data stream and basic metrics 2️⃣ Study the filters and token selection para…
👍 Incredible news from the FlipScout team ❗️ We have made a strategic decision that will determine the future development of the product and reflects our philosophy. FlipScout is becoming a completely free service for all users. No subscriptions. No licenses. No functionality restrictions. 🔥 FlipScout was created as an analytical tool for traders, not as a closed system with paid access. We are convinced that in to…
Showing the 12 most recent of 20 posts we hold for @flipscout. 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.
Citation-graph rank — 335,604 of 1,480,688entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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.
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“FlipScout [EN]” (@flipscout), 216 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/flipscout.
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.