📢 Polymarket Now Is Looking for Prediction Market Writers! I’m reaching out to independent writers who follow prediction markets, Polymarket, and the growing forecasting industry. We’re currently expanding our editorial team and looking for contributors who can turn market events into clear, engaging stories. What we’re looking for is simple: original reporting, sharp analysis, and a professional writing style. We’…

Channel
Polymarket Now | Prediction Markets News
@polymarketnow
On this record: Growth · Engagement · Stars · Posts · Citations · Cite this entry
6,136subscribers
+292 since we began measuring on 5 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1002240681547 |
|---|---|
| Type | Channel |
| Usernames | @electionnews @politicalnews @polymarketcom @polymarketnow @polymarketreview @polymarketus @predictit |
| Created | Between 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 5 August 2026 |
| Last confirmed live | 30 August 2026 |
| Measurements held | 18 |
| Confirmed unchanged | 1 time, most recently 30 August 2026 |
| On Telegram | t.me/polymarketnow |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 30 Aug 2026, 16:19 | 6,136 | +2 |
| 30 Aug 2026, 13:25 | 6,134 | +25 |
| 27 Aug 2026, 21:48 | 6,109 | +27 |
| 27 Aug 2026, 05:22 | 6,082 | -30 |
| 25 Aug 2026, 03:16 | 6,112 | -15 |
| 24 Aug 2026, 13:35 | 6,127 | +249 |
| 21 Aug 2026, 10:36 | 5,878 | +3 |
| 20 Aug 2026, 20:04 | 5,875 | +10 |
| 18 Aug 2026, 08:47 | 5,865 | +2 |
| 17 Aug 2026, 18:13 | 5,863 | +3 |
| 15 Aug 2026, 06:13 | 5,860 | -1 |
| 14 Aug 2026, 17:24 | 5,861 | -1 |
| 11 Aug 2026, 21:03 | 5,862 | +8 |
| 11 Aug 2026, 03:14 | 5,854 | +14 |
| 8 Aug 2026, 21:10 | 5,840 | +2 |
| 7 Aug 2026, 14:46 | 5,838 | +12 |
| 6 Aug 2026, 06:30 | 5,826 | -18 |
| 5 Aug 2026, 18:43 | 5,844 | first reading |
Engagement
21 posts held, back to 18 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 9 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 20.9%
- avg views ÷ 6,136 subscribers
- Avg views / post
- 1,280
- 2 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 2
- of 21 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
| Window | Rolling 30 days · latest post in window 10 August 2026 |
|---|---|
| Posts held | 21 (18 April 2026 – 10 August 2026) |
| Views total | 2,566 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 03:46 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Telegram Stars
- Stars received
- 1
- across the posts below
- Posts paid on
- 1
- of 21 we hold a reading for · 5%
- Most on one post
- 1
- single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @polymarketnow. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 21 most recent posts we hold for this entry, published 18 April 2026 to 10 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Recent posts
⚾️ New Wallet, $542K Daily P/L: An MLB Specialist Makes Waves on Polymarket! I came across one of the most remarkable sports trading performances on Polymarket this week. A wallet created in July 2026 posted a daily profit of more than $541,000, focusing almost entirely on Major League Baseball (MLB) prediction markets. Despite being a newly registered account, the trader executed a string of high-conviction positi…
⚽️ $10.7M Polymarket Comeback: A Prediction Market Trader Rewrites the Score! I came across one of the most extraordinary Polymarket stories of the year. A trader known as DEEDDIT reportedly erased an estimated $10.7 million loss in just seven days, using a series of high-conviction football prediction market positions to return to profitability. What stood out to me wasn't only the scale of the recovery, but also …
🇦🇷 Lionel Messi joins Kalshi! Kalshi has brought Lionel Messi into a new marketing campaign ahead of the 2026 World Cup through its partnership with the Argentina Football Association. For prediction markets, the move is bigger than a typical sponsorship deal. Having the world's most recognizable football player associated with the brand is another sign that the industry is moving further into the mainstream. As c…
⚽️ $4.7 million from a 9% Polymarket position! A Polymarket trader known as “fishalive” reportedly turned a high-conviction call into a multi-million dollar payout after backing Spain not to win against Cabo Verde. The position, worth approximately $428,000, was entered at odds implying just a 9% probability. With Spain widely expected to win comfortably, the market heavily favored the opposite outcome. Instead, t…
🇬🇮 Gibraltar approves another prediction market platform! WagerWire has secured a Gibraltar license for its peer-to-peer prediction market product, Wire Markets, marking another step in the jurisdiction’s growing embrace of regulated prediction markets. The platform is expected to launch this fall, starting with sports event contracts before expanding into culture, weather, and economic markets. Notably, the team s…
Posted without readable text
🌐 We’re committed to delivering the most relevant and timely coverage of the prediction markets industry in the clearest and most accessible way possible. This space is still in its early stages, and our goal is to become a trusted source of high-quality information for the community. To make the content максимально useful for everyone, we’d love your feedback on which language you’d prefer for future posts in this…
👨👩👧👦 Turf Sports Is Turning Prediction Markets Into Embedded Social Infrastructure! Turf Sports is preparing to launch sdk(.)markets — a developer toolkit that enables apps, communities, creators, and digital platforms to launch custom prediction markets directly inside their own products. No traditional operator, no order book, and no exchange-style trading mechanics required. Market creators can define a quest…
📈 A new era of trading: Euphoria brings next-level gamification to crypto markets! Crypto project Euphoria launched Tap Trading — a mobile app that turns crypto price prediction trading into a fast-paced gamified experience. Instead of classic charts and order books, users simply choose price zones on a live time grid and open positions in one tap. The product combines a simplified trading interface with real-time…
🚀 N1BET Opens the Easiest Fiat Gateway to Prediction Markets! Prediction markets are entering a new era — and N1BET is leading it. For the first time, users can fund and withdraw directly with Visa, Mastercard, Revolut, and other mainstream fiat payment methods — removing one of the biggest barriers to entering prediction markets! Available now in: 🇦🇺 Australia 🇨🇦 Canada 🇳🇿 New Zealand 🇮🇪 Ireland 🔗 https://n1b…
⚽️ Serie A x Polymarket: Prediction Markets Enter Elite Football! The Italian 🇮🇹 football league Serie A signed a multi-year partnership with Polymarket, making it the exclusive prediction market partner of Serie A in the US. The platform received rights to use official league branding and media integrations across Serie A’s American channels. Market odds and trading data will be powered by official Serie A statis…
Showing the 12 most recent of 21 posts we hold for @polymarketnow. 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
Citation-graph rank — 1,492,279 of 1,627,068entries 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.
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.
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 30 August 2026 — this entry's latest reading, not the date you are reading this.
“Polymarket Now | Prediction Markets News” (@polymarketnow), 6,136 subscribers as measured 30 August 2026. Telegram Register, tgregister.com/channel/polymarketnow.
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.