28.20% on $USDT. 28.77% on $GRAM. No words needed. Become an LP → https://giftcredit.app/earn
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Channel
@gifttocredit_new_age
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
155subscribers
+5 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1004370538288 |
|---|---|
| Type | Channel |
| Username | @gifttocredit_new_age |
| Created | Between 1 June 2026 and 3 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 26 September 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 26 September 2026 |
| On Telegram | t.me/gifttocredit_new_age |
Crypto & trading — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 25 September 2026 and assigned it the closest of 31 fixed categories, at 96% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 26 Sept 2026, 17:01 | 155 | +3 |
| 13 Sept 2026, 23:41 | 152 | +2 |
| 29 Aug 2026, 03:54 | 150 | -1 |
| 22 Aug 2026, 06:18 | 151 | -1 |
| 14 Aug 2026, 12:27 | 152 | +2 |
| 8 Aug 2026, 19:47 | 150 | no change |
| 6 Aug 2026, 04:05 | 150 | first reading |
20 posts held, back to 3 July 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.
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 1 August 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 4 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.
113 reactions across 17 posts, in 14 distinct kinds. The most used accounts for 25.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 29 | 25.7% | |
| 👍 | 26 | 23.0% | |
| ❤ | 25 | 22.1% | |
| 🐳 | 11 | 9.73% | |
| 🥰 | 5 | 4.42% | |
| 🙏 | 4 | 3.54% | |
| 👏 | 2 | 1.77% | |
| 😁 | 2 | 1.77% | |
| 😈 | 2 | 1.77% | |
| 😱 | 2 | 1.77% | |
| 🦄 | 2 | 1.77% | |
| ❤🔥 | 1 | 0.885% | |
| 💯 | 1 | 0.885% | |
| 😎 | 1 | 0.885% |
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 17 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 113 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 3 July 2026 to 1 August 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.
28.20% on $USDT. 28.77% on $GRAM. No words needed. Become an LP → https://giftcredit.app/earn
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markets page is live 👀 If you borrow: see the rate and max loan for every collection — switch between GRAM and USD₮ in one place, before you commit to anything. If you LP see total borrow by collateral — so you know exactly what your liquidity is working against, not just an aggregate APY. Transparency is the key to mutual trust between any product and the users who back it. With GTC Markets, we're making that tra…
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🆕Early repayment is live. Repay any part of your loan anytime: 25% / 50% / 75% / MAX. Debt goes down. Final payment goes down. Due date stays the same. Repay early → giftcredit.app
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best $USDT & $GRAM yield in TON right now. both pools are running near full: — USDT pool → 23.29% APY (93% utilized) — GRAM pool → 29.84% APY (100% utilized) high utilization = high yield = real borrower adoption. supply → giftcredit.app
flexible terms are live. 📅 loan duration now in 1-day steps — 7 to 28 days, on 7 top collections. borrow exactly as long as you need, pay only for the days you use. set your term →https://giftcredit.app/borrow
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USDT pool is doing 26% APY right now. 🟢 secure your LP spot → https://giftcredit.app/earn
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GTC Web app : everything in one place Loans, liquidity, wallet and history — now on one screen. What's new 📈 1. Unified balances — on-chain & off-chain Your on-chain funds and internal GTC balances in a single view. Everything at once, no switching between services. 2. USDT & GRAM side by side Borrow and hold in USDT or GRAM — both in one interface. USDT loans on top collections from 0.05%/day (~18% APR). 3. …
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Special rates for USDT loans are live. We've added special rates for borrowing USDT against top gift collections up to 2x cheaper than TON loans on the same gifts. Why borrow in 💵USDT: Stability - you owe a fixed dollar amount, no TON price exposure while your loan is open; Lower cost - the cheapest rate on the platform, on every day of your loan; Real spending power - get liquid stables without selling your gift; …
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⚠️ Temporary TON Network Issues Due to a temporary slowdown on the TON blockchain, you may experience: — longer transaction confirmation times (loans, repayments, buybacks); — delayed data updates in the app (indexer lag). Your funds and positions are safe on-chain — only display and confirmation speed are affected. GTC MiniApp · Questions: @gtcsupportbot
No mirror. No indexer. Legacy NFT buyback — now directly in GTC No more mirror needed for buybacks. We've built a new interface to access the DAOLama contracts — position management right inside GTC: 👉 Open GTC 🔓 Redeem your NFT in a couple of clicks — no mirror, no indexer delays. Just your wallet and the contract. 🔁 Need the liquidity back? Re-pledge the same NFT right there, in one window — so redeeming your co…
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The mirror is back online The GTC team has restored access to the DAOLama contracts. Extensions, repayments and buybacks are available again. This is the second shutdown in a week — first the domains, now the servers. We will keep restoring access every time, but honestly: we cannot guarantee the stability of infrastructure we don't own. ❤️ So we strongly recommend: • If you can buy back your collateral — do it w…
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Status & advice: how to redeem your collateral when you can't afford to buy back everything at once Many users face the same problem: several positions in DAOLama, but not enough free funds to buy them all back. Here's how one of our users handled it: 1️⃣ Bought back one position — the one he could afford 2️⃣ Pledged that NFT in GTC and took a loan 3️⃣ Used that liquidity to buy back the next DAOLama position 4️⃣ …
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Showing the 12 most recent of 20 posts we hold for @gifttocredit_new_age. 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.
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 26 September 2026 — this entry's latest reading, not the date you are reading this.
“GTC: Onchain / Offchain NFT lending” (@gifttocredit_new_age), 155 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/gifttocredit_new_age.
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.