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Channel

BananaTech Official

@bananatech_official

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

5,975subscribers

+825 since we began measuring on 29 September 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1003105147165
TypeChannel
Username@bananatech_official
CreatedBetween 1 September 2025 and 30 November 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded29 September 2026
Last confirmed live5 October 2026
Measurements held2
Confirmed unchanged1 time, most recently 5 October 2026
On Telegramt.me/bananatech_official

Growth

5,1505,9755,562.529 September 2026 — 5,150 subscribers5 October 2026 — 5,975 subscribers29 September 20265 October 2026
2 measurements spanning 5 days, net +825. 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 5,026–6,099 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
5 Oct 2026, 07:175,975+825
29 Sept 2026, 21:225,150first reading

Engagement

16 posts held, back to 5 September 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.

ERR · 30 days
15.4%
avg views ÷ 5,975 subscribers
Avg views / post
919
10 posts measured
Reaction rate
10.9%
reactions ÷ views · ER floor
Posts in window
14
of 16 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. It is computed over the 3 of 10 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 29 September 2026
Posts held16 (5 September 2026 – 29 September 2026)
Views total9,188
Reactions total382
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken29 Sept 2026, 21:22 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.

What this channel posts

Video runtime
1m 13s
Average length
24s

Measured directly from 3 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.

Reaction mix

382 reactions across 3 posts, in 10 distinct kinds. The most used accounts for 44.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍17044.5%
❤9224.1%
🔥4110.7%
🎉256.54%
❤‍🔥112.88%
💯112.88%
🤩112.88%
🥰112.88%
😍92.36%
👌10.262%

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 3 of the 16 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 382 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 16 most recent posts we hold, published 5 September 2026 to 29 September 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

29 Sept 2026, 05:42 UTC≈1,700 views342 reactionsread 29 September 2026
Photo

🟨 BANANATECH GLOBAL GIVEAWAY IS LIVE We’re giving away 27 prizes to our community: 🎟 10 × SiGMA Rome tickets 🎟 7 × TOKEN2049 Singapore tickets 💰 10 × USDT cash prizes How to participate: ✅ Complete simple social tasks ⭐ Earn POINTS 👥 Invite friends and earn even more 🏆 Climb the leaderboard TOP 10 participants are guaranteed to win a prize. The remaining winners will be selected randomly among eligible participa…

👍170❤78🎉25🔥16❤‍🔥11💯11🤩11🥰11

28 Sept 2026, 07:24 UTC≈1,350 viewsread 29 September 2026
Photo

Card issuing is changing fast. This week in BananaTech Radar: Reap’s plans to expand stablecoin-linked card programs, a new way to spend digital assets with cards, and SoFi and Mastercard’s live stablecoin settlement. What’s already available—and what could matter for BananaTech products? Read the full article in the Blog at bananatech.space/blog #BananaTech #FintechRadar #CardIssuing #Payments #Stablecoins #Finte…

25 Sept 2026, 11:28 UTC≈1,220 views35 reactionsread 29 September 2026
Photo

💳 BananaTech — crypto card infrastructure for launching fintech products under your own brand If you already run a Web3, fintech, wallet, exchange, affiliate, or payments business, you don’t need to build card infrastructure from scratch. BananaTech lets you launch your own card product through API, White Label, or Telegram Mini App. What you get: 💳 Visa / Mastercard cards 💳 Virtual and physical cards 🎨 Custom ca…

🔥21❤14

24 Sept 2026, 11:27 UTC865 viewsread 29 September 2026
Video

BananaTech is heading to TOKEN2049 Singapore We’ll be at TOKEN2049 Singapore on October 7–8, meeting partners, clients, fintech founders, Web3 teams, and companies looking to launch or scale their own card products. If you’re attending, come meet the BananaTech team and talk to us about: 💳 Crypto card infrastructure ⚡ API & White Label solutions 🌍 Visa / Mastercard issuing 📱 Apple Pay / Google Pay 🚀 Launching your…

22 Sept 2026, 10:04 UTC778 viewsread 29 September 2026
Photo

🏢 WORK. BUILD. REPEAT. Inside the BananaTech office, every day is focused on one thing - building infrastructure that powers modern fintech products. From product discussions and architecture planning to integrations, testing, and scaling: our team works together to turn complex ideas into real-world financial solutions. At BananaTech, collaboration is part of the process: ▪️ developers shipping new features ▪️ pr…

19 Sept 2026, 13:47 UTC640 viewsread 29 September 2026
Video

🌍 One cap. Many countries. One global vision. The BananaTech cap is traveling around the world — from city to city, conference to conference, connecting people, ideas, and opportunities along the way. Because BananaTech isn’t tied to one place. We build fintech infrastructure for a world without borders. 💳🌎 Where should the BananaTech cap travel next? 👀 #BananaTech #Fintech #AroundTheWorld #GlobalFintech #Payment…

18 Sept 2026, 12:44 UTC324 viewsread 29 September 2026
Photo

🟩 The BananaTech team is heading to TOKEN2049 Singapore! 📍 Singapore 📅 October 7–8, 2026 Come meet the BananaTech team in person at one of the world’s leading crypto and Web3 events. Ask us anything about digital asset infrastructure, payment solutions, card issuing, and processing — and experience our products in action. 🔹 Get test cards directly at the event 🔹 Access our demo consoles and applications 🔹 See live…

17 Sept 2026, 11:01 UTC≈1,200 viewsread 29 September 2026
Photo

🟨 Why Most Fintech Startups Fail Before Launch Most fintech startups don’t fail because of the idea. They fail because infrastructure is harder than expected. Launching cards globally requires: 💳 Banking partners 💳 Processing infrastructure ✅ Compliance flows 🖐 Fraud monitoring ✔ Settlement systems 🌎 Scalability This is why infrastructure matters more than most founders initially think. Bananatech helps companies…

Showing the 12 most recent of 16 posts we hold for @bananatech_official. 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 5 October 2026 — this entry's latest reading, not the date you are reading this.

“BananaTech Official” (@bananatech_official), 5,975 subscribers as measured 5 October 2026. Telegram Register, tgregister.com/channel/bananatech_official.

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.