Gram (formerly Toncoin): The Telegram Network and Its Price Mechanics
Toncoin became Gram in June 2026. Why Telegram distribution is also a concentrated counterparty risk, and which mini-app activity creates real demand.
On this page
- 1. The distribution advantage
- 2. Why the advantage is also a concentration risk
- 3. The Durov case as a demonstration
- 4. Mini-app activity and the quality of demand
- 5. Supply and staking mechanics
- 6. Why Gram tracks Telegram news more than crypto cycles
- 7. A checklist for reading a Gram move
- 8. Conclusion
- Frequently asked questions
- Sources and further reading
Quick read
TON's defining feature is access to Telegram's user base, which no other blockchain has. This lesson explains why that distribution advantage is also a concentrated counterparty risk, what the 2024 arrest of Telegram's founder demonstrated about it, and how to tell which mini-app activity actually creates demand for Gram, the token the network runs on.
What to remember
- The token was renamed from Toncoin to Gram in June 2026, ticker TON to GRAM. The blockchain is still The Open Network, and no holder action was required.
- The network's competitive advantage is distribution through Telegram, which solves the user acquisition problem every other chain struggles with.
- That same advantage concentrates Gram's addressable demand behind a single private company it does not control.
- The 2024 arrest of Telegram's founder concerned platform moderation rather than the blockchain, yet was directly relevant to the thesis.
- Gram holders carry regulatory risk from a business whose compliance posture cannot be observed in on-chain data.
- Mini-app user counts are the wrong metric. What matters is activity requiring users to hold Gram rather than merely route through it.
Every blockchain faces the same problem: building something people can use is easier than getting people to use it. Most chains solve it by attracting developers who attract users, one application at a time.
The Open Network attempted a different answer. It is built to be reachable from inside Telegram, one of the largest messaging platforms in the world, where users can access blockchain applications without installing a wallet, learning a seed phrase, or leaving the app they already have open.
That is a genuine structural advantage and it is the entire investment thesis. This article examines what it delivers, what it costs in risk terms, and how to separate the activity it generates into demand that persists and demand that does not. It applies the framework in what actually moves crypto prices to an asset where the demand side is unusually concentrated.
First, the name
The token you may know as Toncoin is now called Gram, and its ticker changed from TON to GRAM on 15 June 2026, after a community governance vote passed with 81.22% support.
Two things about that are worth getting straight before anything else, because almost every confusion around this rename comes from missing one of them.
The blockchain did not change its name. It is still The Open Network, still abbreviated TON. Only the token was renamed. This article therefore uses Gram for the asset you buy, hold, and stake, and TON or The Open Network for the chain it runs on — a distinction the old naming blurred, and one that is genuinely useful for keeping the network's merits separate from the token's demand.
Nothing happened to anyone's holdings. Balances carried over one for one at the same addresses, staking positions and transaction history were untouched, and there was no swap, migration, bridge, or claim process of any kind.
The name itself is a reference rather than an invention. Gram was what the token was called in Telegram's 2018 whitepaper, before US regulators blocked the sale and Telegram withdrew from the project in 2020, leaving an independent community to carry the network forward. Reclaiming the original name alongside Telegram's stated intent to deepen the token's role across the platform is, for the purposes of this article, not a cosmetic matter: it tightens exactly the dependency that the next two sections argue is both the thesis and the risk.
1. The distribution advantage
Consider what a new blockchain application normally has to do to reach a user. The user must discover it, install a wallet, secure a recovery phrase, acquire the native token from an exchange, transfer it, connect the wallet, and only then transact. Each step loses a large fraction of the people who started.
An application built as a Telegram removes most of that. The user is already in the app, already authenticated, and already has a chat interface as the entry point. Wallet functionality can be integrated into the messenger itself.
What this actually changes
It attacks the largest cost in the industry. User acquisition is where most crypto applications fail, and the network's design removes several of the steps where users drop out. That is not marketing, it is a real reduction in friction, and it is the reason its activity metrics have at times been extraordinary relative to its developer ecosystem's size.
It produces a different user. Someone arriving through a messaging app is not the same as someone who sought out a wallet. They are far more numerous and typically far less committed, which matters enormously for the durability of the demand they create. Section 5 works through what that means.
And it makes one relationship load-bearing. Every other large chain's distribution is diffuse across many wallets, applications, and exchanges. This network's differentiating advantage runs through a single company. That is the trade, and it is worth stating precisely rather than treating as an implementation detail.
2. Why the advantage is also a concentration risk
The bull case and the bear case for Gram are the same sentence read twice.
Distribution through Telegram is why the network can reach a user base no competitor can. It is also why Gram's addressable demand depends on decisions made by a privately held company that no Gram holder controls, whose internal state no Gram holder can observe, and whose regulatory exposure arises from a business that has nothing to do with blockchains.
| Dimension | Typical large chain | The Open Network and Gram |
|---|---|---|
| Source of user access | Many independent wallets, applications, and exchanges | Substantially one messaging platform |
| If the largest access channel degrades | Users route through alternatives, with friction | The core differentiating advantage is reduced |
| Who controls that channel | No single party | A single private company |
| Can the dependency be analyzed on-chain | Mostly yes, since access is diffuse and observable | No. The relevant risks sit inside a private company |
| Nature of the main tail risk | Protocol, market, or regulatory risk to the chain itself | Regulatory or corporate risk to a third party |
What this comparison actually tells you
The design converted a distribution problem into a counterparty problem. That is a real trade and not necessarily a bad one, since distribution is the harder problem for most chains. But the resulting risk is a different category, and it is not reduced by any of the things crypto analysis is normally good at. No amount of on-chain data tells you about a private company's regulatory posture.
The risk transmits but the information does not. This is the sharpest way to put it. A Gram holder is exposed to Telegram's legal and commercial situation while having none of the disclosure a shareholder in a listed company would receive. There are no filings, no earnings calls, and no obligation to disclose anything.
Standard diversification does not address it. Holding other crypto assets alongside Gram does not hedge a Telegram-specific event, because nothing else in the asset class shares that exposure. The concentration is the position, and the only real control is size.
3. The Durov case as a demonstration
In August 2024, Telegram's co-founder Pavel Durov was arrested after his aircraft landed at Le Bourget airport near Paris, and was subsequently indicted on a set of charges concerning the platform's moderation practices and its cooperation with law enforcement. He was placed under judicial supervision with bail conditions and travel restrictions, which were later modified. The investigation has continued since.
The charges are allegations, the proceedings concern Telegram's conduct as a messaging platform, and nothing in them concerns The Open Network, its code, or its token. This article takes no position on the merits.
What makes the episode analytically useful is precisely that disconnection.
What this episode actually demonstrated
A risk entirely outside the protocol became a first-order price input. Nothing about the network's technology, supply schedule, validator set, or on-chain activity changed. The variable that moved was the legal position of an individual at a company whose platform TON depends on for distribution. Any model of the token built purely from chain data had no term for this.
It was unforecastable from any data a crypto analyst normally uses. There was no on-chain signal, no positioning tell, and no protocol metric that anticipated it. This is the practical meaning of the concentration described in section 2: the dominant tail risk sits in a place the usual toolkit cannot see.
Events of this type are binary and gap, like the legal catalyst in XRP for traders. They do not build gradually, they cannot be averaged into, and their resolution is not continuous. The appropriate response is position sizing rather than timing, because there is no entry technique that mitigates an event you cannot see coming.
And the dependency persists after any single episode resolves. The specific case will conclude one way or another. The structural fact, that the thesis runs through one company's continued willingness and legal ability to support it, does not conclude with it. Treat this as a standing feature of the position rather than as a past event.
The transmission path, in the price
Daily closing price, with the arrest and the rename marked
Live daily closes from Binance. Trading before July 2026 is the TONUSDT pair and after it GRAMUSDT; the rename was 1:1, so this is one continuous series.
Figure 1 marks two events that could not be less alike, and the contrast between them is the argument of this whole article.
The arrest is the transmission path made visible. The close went from about $6.70 the day before to about $5.93 on the day, near an 11% fall, and about $5.13 two days later. Nothing about the protocol changed in that window: no upgrade, no supply event, no change in validator behaviour. What changed was the legal position of one person at a private company. That is a first-order price move caused by something no on-chain metric could have shown you beforehand.
But it was not terminal, and pretending otherwise would be dishonest. The price recovered over the following months and set its highest close of this entire window in December 2024, above the pre-arrest level. The lesson is not "platform risk destroys the asset." It is that platform risk moves the asset violently and without warning, which is an argument about position sizing rather than about direction.
The rename is the control case. In June 2026 the token changed its name and ticker, and the chart shows essentially nothing: about $1.68 a few days before, $1.72 on the day, $1.65 the day after — inside the ordinary daily range. That is exactly right, and it is worth noticing precisely because it is boring. A rename carries no economics, so it should not move price, and it did not. Set that against the arrest and the point lands: what moves this asset is not its identity and not its blockchain, but the standing of the company it depends on for distribution.
So allocate your attention accordingly. If you hold Gram, a French court docket and Telegram's corporate news are higher-value inputs than any block explorer. That is an unusual conclusion for a crypto asset and it follows directly from the structure in section 2.
4. Mini-app activity and the quality of demand
Telegram mini apps, particularly games, have at times generated user numbers that dwarf those of most blockchain ecosystems. The analytical question is what fraction of that translates into durable demand for Gram.
The distinction between usage-backed and attention-backed demand, set out in what actually moves crypto prices, applies directly here and is worth making concrete.
| Pattern | What the user does with Gram | Net effect on demand |
|---|---|---|
| Reward farming | Receives tokens for engagement, then sells. May never buy Gram at all | Generates transactions and net selling pressure at the same time |
| Genuine in-app spending | Must acquire and hold Gram to pay for goods, services, or fees | Creates real recurring buying and a held balance |
What this distinction actually tells you
User counts are close to useless as a demand metric here. A mini app with tens of millions of users who each received free tokens and sold them has produced enormous activity statistics and negative net demand. The headline number and the economically meaningful number can point in opposite directions.
The right question is whether Gram must be held or merely transited. Activity that requires a user to maintain a Gram balance, for recurring fees, purchases, or staking, creates standing demand. Activity that routes tokens through a wallet on their way to an exchange does not, no matter how many transactions it generates.
Retention is the measurable proxy. Rather than peak users, look at what fraction of a mini app's users are still transacting some months after the incentive ends. That figure separates the two patterns and is far more predictive of durable demand than any launch statistic.
And be sceptical of the conversion argument in both directions. The bullish claim is that free-token users convert into genuine users over time. That is plausible, it has some precedent in consumer technology, and it should be treated as a hypothesis to be checked against retention data rather than as an established mechanism.
5. Supply and staking mechanics
The Open Network uses . Validators lock Gram to participate in consensus and receive newly issued Gram alongside a share of transaction fees. and liquid staking protocols allow smaller holders to delegate rather than run a validator, which lowers the participation threshold considerably.
The network also operates a fee burn, so a portion of transaction and storage fees is destroyed rather than paid to validators, partially offsetting issuance.
The same arithmetic that applies to any proof-of-stake chain applies here: because rewards are paid in newly issued tokens, the nominal staking yield overstates the real return, and the meaningful figure is yield minus issuance. A holder who does not stake is diluted by the issuance funding everyone else's rewards. That reasoning is worked through in detail in what moves Solana's price.
6. Why Gram tracks Telegram news more than crypto cycles
Putting the previous sections together produces a testable prediction about Gram's price behaviour.
Because the asset's differentiating thesis rests on one intermediary, its idiosyncratic moves, the part not explained by the crypto market as a whole, should cluster around events concerning that intermediary rather than around events concerning crypto.
How to test it yourself
Use the ratio, not the dollar chart. Gram priced in BTC removes the shared asset-class component and leaves Gram-specific performance, the same technique that works for ETH and SOL. Note that charts spanning the rename may still label the pair TON/BTC before 15 June 2026; it is the same continuous series.
Then look at when the ratio moved most. If the largest deviations cluster around Telegram corporate, legal, and product news rather than around macro data or crypto-market events, the dependency is confirmed in price behaviour rather than merely asserted.
And use that to allocate your attention. If the test holds, then for Gram specifically, monitoring platform news is a more productive use of research time than monitoring on-chain metrics, which is an unusual conclusion for a crypto asset and follows directly from the structure.
7. A checklist for reading a Gram move
Steps
Check Gram against BTC first
Separate asset-class beta from anything Gram-specific. If the ratio barely moved, the cause is the market rather than Gram, and no Telegram explanation is required.
Check for platform news before protocol news
Reverse the usual order. For Gram, corporate, legal, and product developments at Telegram are more frequently the cause of an idiosyncratic move than anything happening on-chain.
Separate transacting users from holding users
Mini-app user counts include reward farmers who receive tokens and sell. Look for activity requiring a maintained Gram balance, and at retention after incentives end, rather than at peak participation.
Subtract issuance from any staking yield
Rewards are newly issued Gram, so the nominal yield is not the real return, and not staking means being diluted. Verify current parameters in The Open Network's own documentation rather than relying on widely quoted figures.
Size for an unobservable tail risk
The dominant risk sits inside a private company and cannot be seen in on-chain data or hedged with other crypto assets. Position size is the only real control, so set it assuming a gap you will not see coming.
8. Conclusion
Gram is an unusually clear example of an asset whose central analytical question is not about its blockchain. Its technology is capable and its throughput is real, but neither is what distinguishes it. What distinguishes it is a distribution channel into one of the largest user bases in the world, which is a genuine advantage that no competitor can replicate and that addresses the single hardest problem in the industry.
The cost of that advantage is a concentration most crypto positions do not carry. Gram's addressable demand depends on a private company's continued willingness and legal ability to support it. That company's risks arise from its messaging business, are invisible in on-chain data, are not disclosed the way a listed company's would be, and are not hedged by holding any other crypto asset. The 2024 arrest of Telegram's founder demonstrated the transmission path clearly: an event with no connection to the protocol became a first-order input to the token's price.
On the demand side, the discipline is to distinguish activity that requires holding Gram from activity that merely moves it. Mini apps have produced remarkable user numbers, and a large share of that has historically involved distributing tokens to users who sold them, which generates impressive activity statistics and negative net demand simultaneously. Retention after incentives end is the metric that separates the two.
For a trader, this produces an unusual research allocation. For most crypto assets, on-chain data is the primary source and corporate news is context. For Gram, that ordering should be reversed, and position size should be set on the assumption that the largest risk is one that will not appear in any dashboard before it moves the price.
Frequently asked questions
Gram is the native token of The Open Network, a proof-of-stake blockchain designed to be reachable from inside Telegram, allowing users to access blockchain applications as mini apps without installing a separate wallet or leaving the messenger. That distribution channel into Telegram's user base is its principal competitive advantage over other chains.
Primarily the strength and stability of its Telegram distribution channel, the quality of demand generated by mini-app activity, staking participation and issuance, and the broader macro liquidity regime. Unusually for a crypto asset, corporate and legal news about a private company is a first-order driver.
Because it concentrates Gram's addressable demand behind a single private company that Gram holders do not control and cannot observe. The relevant risks arise from a messaging business rather than from the blockchain, are not visible in on-chain data, and are not hedged by holding other crypto assets.
It demonstrated the transmission path from platform risk to token price. The charges concerned Telegram's moderation practices and cooperation with law enforcement rather than the blockchain, yet the event was directly relevant because the thesis depends on Telegram distribution. Nothing about the protocol changed.
Some do and some do not, and user counts cannot tell the difference. Activity requiring a user to acquire and hold Gram for fees or purchases creates standing demand. Reward farming, where users receive tokens for engagement and sell them, generates transactions and net selling pressure at the same time.
Retention after incentives end, rather than peak user counts. The fraction of a mini app's users still transacting some months after rewards stop separates genuine usage from reward farming, and it predicts durable token demand far better than any launch or peak participation figure.
Only partly. Rewards are paid in newly issued Gram, so the nominal yield overstates the real return and the meaningful figure is yield minus issuance. A holder who does not stake is diluted by the issuance that funds everyone else's rewards, the same arithmetic that applies to other proof-of-stake chains.
Because its differentiating thesis rests on a single intermediary, so its idiosyncratic moves tend to cluster around events concerning that company rather than around crypto market events. Checking Gram against BTC isolates that component, and the largest deviations frequently align with Telegram news.
Not with other crypto assets, because nothing else in the asset class shares that specific dependency. Diversifying across other tokens does not reduce exposure to a Telegram-specific event. Position size is the practical control, set on the assumption that the risk will materialize without warning.
No. The rename took effect on 15 June 2026 after a community vote passing with 81.22% support. Balances converted one for one at the same addresses, staking positions and transaction history were untouched, and there was no swap, migration, bridge, or claim process. Any message telling you to migrate, exchange, or claim Gram is a scam.
Sources and further reading
Events marked on Figure 1:
- TechCrunch — Paris court statement on the arrest of Telegram's founder, 24 August 2024
- Toncoin renamed to Gram following the community vote, effective 15 June 2026
Background:
Related CoinBeaver articles:
- What actually moves crypto prices
- XRP for traders
- What moves Solana's price
- What is tokenomics
- Memecoin odds: what the launch data shows
This article is educational and is neither financial nor legal advice. The legal proceedings described are matters of public record, the charges referenced are allegations, and this article takes no position on their merits or outcome. The network's specific economic parameters, including issuance rate, validator minimums, and burn percentage, are deliberately not quoted because they could not be verified against primary documentation at the time of writing. The price levels in the Figure 1 walkthrough are daily closes from Binance, rounded, and are historical rather than current. Figure 1 splices the pre-rename TONUSDT series behind the current GRAMUSDT one, which is valid because the rename involved no swap or migration, and covers the most recent 1,000 trading days, so the window rolls forward and earlier events eventually fall outside it. A price move following a marked event is not proof the event caused it. Toncoin was renamed to Gram on 15 June 2026; this article uses Gram for the token and The Open Network, or TON, for the blockchain, which did not change name. Older sources and some charts still use the previous name for both. No price levels are quoted for the same reason. Verify all parameters and the current status of any legal matter before acting on any of this.
