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Building in an Ecosystem: What Founders Often Get Wrong

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Building in an Ecosystem: What Founders Often Get Wrong

A recap of a podcast hosted by Alevtina Labyuk, Chief Strategic Partnerships Officer at BeInCrypto, in partnership with The Top Voices — a community-led media platform for early-stage startups and IT talent, backed by a global network of 3,000+ entrepreneurs — featuring Anthony Tsivarev, VP of Ecosystem Development at the TON Foundation.

Building a startup inside a large ecosystem can look deceptively simple from the outside. The distribution is already there. The infrastructure is ready. Millions of users are just one click away.

But according to Anthony VP of Ecosystem Development at the TON Foundation, this perception is one of the biggest misconceptions founders bring into platforms like Telegram and TON.

During the conversation, he explained why building inside an ecosystem is fundamentally different from launching an independent product – and why many teams fail to recognize the shift in mindset required to succeed.

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Ecosystem Distribution Is Not the Same as Demand

In a traditional go-to-market strategy, startups usually follow a straightforward sequence: build a strong product and then acquire users through marketing, partnerships, or distribution channels. 

Platforms such as Telegram change this dynamic completely. The distribution already exists. But crucially, it does not belong to the startup.

“You still need to build a great product,” Anthony explained. “But on top of that, you need to integrate it into the native behavior of the platform.”

That means founders must think beyond functionality. A product launched inside Telegram needs to understand how people communicate there – through chats, channels, stories, and friend networks.

Ecosystem products succeed because they naturally fit into how people already behave on the platform. For example, with TON, founders must design not only for user behavior but also for token economics, incentives, and payment mechanics.

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“Classic GTM is one layer,” Anthony said. “In ecosystems you also have social graphs, social interaction, and in blockchain you add an economic layer on top of that.”

Creativity Comes From Behavior

A common fear among founders building in ecosystems is that the environment limits creativity. After all, the infrastructure, identity layer, and wallet systems are already defined.

Anthony sees the opposite. Platforms like Telegram mini-apps provide standardized building blocks, but differentiation emerges from how founders use social behavior.

Successful products often rethink how their app interacts with chats, communities, and sharing patterns. They create loops that encourage users to bring their friends into the experience.

The most important design question becomes surprisingly simple: Why would users come back?

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Retention loops, Anthony emphasized, matter far more than simply launching inside the ecosystem.

“You need to think about why people should use your product consistently,” he said. “Integration is only the beginning.”

The Founders Who Actually Succeed

Working inside an open ecosystem means anyone can launch a product. Today, developers can build a mini-app in a day and distribute it instantly through social channels. That openness creates both opportunity and clutter.

When Anthony evaluates new builders entering the ecosystem, two things matter most:

  • The first is experience. Teams with a track record of building social products often understand platform dynamics much faster.
  • The second is what he calls ecosystem product fit.

In other words, the product should leverage the ecosystem (not just sit inside it).

Anthony often asks founders to clearly explain how their product will amplify itself using the platform. That explanation should include how the product will leverage the social graph, how users will naturally share it with friends, and what incentives will drive organic growth.

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Without clear answers, many products remain technically functional but struggle to gain real traction.

“You can end up with a good mini-app,” Anthony said, “but without users and without distribution.”

The Most Common Founder Mistake

One misconception appears again and again in new projects. Founders assume that access to a massive user base automatically generates demand.

Anthony calls this confusion between distribution and product-market fit.

Just because millions of users exist on a platform does not mean they will automatically use a new product.

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He compares the situation to a supermarket shelf. Even when dozens of chocolate brands sit side by side, shoppers still choose only a few.

Platforms create opportunities for visibility and activation, but they do not replace the need for strong product mechanics and clear user value.

For founders, that means focusing first on the fundamentals: the core loop, user retention, and behavioral integration with the platform.

Ecosystems Are Opportunity Engines

Despite the challenges, Anthony believes ecosystems remain one of the most powerful environments for startups. Their role, however, is often misunderstood.

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Rather than being designed to guarantee success, ecosystems simply change the economics of building. They typically reduce two critical startup costs:

  • The first is development cost. Infrastructure such as identity layers, wallets, payment systems, and mini-app frameworks dramatically lowers the technical barrier to entry.
  • The second is customer acquisition. Platforms already contain communities and social graphs that startups can leverage for growth.

Together, these factors can accelerate experimentation and iteration. But the responsibility for success still belongs to the founder.

“Ecosystems amplify success,” Anthony said. “They don’t generate success for you.”

AI Is Changing How Startups Are Built

Another theme that emerged during the conversation was the growing impact of AI on startup development.

Anthony described a change that many developers are already experiencing, where products that once required large teams and significant funding can now be prototyped in days.

He shared his own experience building an internal product called Identity Hub, which he developed over a few weekends – something that would previously have required hundreds of thousands of dollars in development resources.

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AI-driven coding tools are drastically increasing development velocity.

This change is transforming the role of founders. Instead of spending years building a single product, startups can now test multiple ideas rapidly in search of the right business model.

The result is a startup environment where experimentation becomes the default.

AI Agents and Multi-Ecosystem Products

Looking further ahead, Anthony believes the future of Web3 development will likely revolve around two major things.

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The first is the rise of multi-ecosystem products. As integration becomes easier, applications will increasingly operate across multiple blockchains and platforms rather than staying confined to a single ecosystem.

The second is the growing role of AI agents.

Blockchain infrastructure remains complex for everyday users, but AI systems may act as intermediaries that interact with decentralized protocols on their behalf.

In that scenario, agents (not humans) could become some of the largest users of blockchain networks.

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“Agents could become the main consumers of blockchains,” Anthony suggested.

If that happens, the next generation of Web3 products may be designed not only for people but also for autonomous systems.

Focus First, Expand Later

Anton returned to one timeless principle of entrepreneurship – focus.

Early-stage founders often feel pressure to expand quickly into multiple ecosystems, markets, or features. But spreading attention too early can prevent a product from succeeding anywhere.

He encourages startups to build a strong success story inside one ecosystem before thinking about expansion.Once a product proves itself, it becomes far easier to replicate that success elsewhere. Until then, focus remains the most powerful advantage a startup can have.

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The post Building in an Ecosystem: What Founders Often Get Wrong appeared first on BeInCrypto.

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Zondacrypto under fire as Donald Tusk links exchange to legislative interference

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Zondacrypto under fire as Donald Tusk links exchange to legislative interference

Polish cryptocurrency exchange Zondacrypto’s problems just keep mounting.

Already under fire following reports of frozen or delayed customer withdrawals, the company on Friday drew the ire of Prime Minister Donald Tusk, who told parliament the company had sponsored some politicians who opposed crypto market regulation.

Blocking the legislation by some politicians showed they were toeing Zondacrypto’s line, Tusk said before a vote to overturn President Karol Nawrocki’s veto of the law, according to a report by AP. The exchange has links to Russia and had previously provided the lawmakers with financial support, he said.

Tusk’s comments came a day after Zondacrypto CEO Przemysław Kral turned to X to defuse allegations the company was helping itself to investors’ funds to bulk up its declining reserves.

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In a statement and video published on the platform, Kral said the exchange had sufficient reserves, and owns a bitcoin wallet holding about 4,500 BTC, about $330 million. There is a problem, though: It can’t access the funds because the previous owner didn’t hand over the private key and has now disappeared.

Delayed withdrawals

Kral said he revealed the wallet address to “cut short the unfounded accusations of alleged misappropriation of funds.” The key was not handed over by former CEO Sylwester Suszek in 2021, when ownership of the exchange, then known as BitBay, transferred and Kral took over. Suszek has been missing for four years.

Zondacrypto has faced reports of frozen or delayed customer withdrawals since late March, according to local news reports. Kral denied any misuse of client funds and said the exchange remains profitable. He publicized the inaccessible wallet to prove the exchange has reserves, he said.

Kral framed the situation as part of a broader campaign against the company, according to an AI translation of his Polish video. He pointed to supposed political pressure, regulatory interference and coordinated media coverage that contributed to a surge in withdrawal requests.

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Analysis conducted by blockchain intelligence firm Recoveris and cited by local news outlets found that bitcoin balances in hot wallets tied to Zonda have dropped by about 99% since mid-2024. At one point, Kral threatened legal action against Polish news outlets covering the situation.

The furor revives the long-running controversy surrounding the company.

Polish investigative reporting, led by broadcaster TVN, in 2024 identified shareholder Marek K., who held a 35% stake, as a criminal sentenced to eight years in prison for complicity in a 1995 gangland murder and fined 45 million zlotys ($12.5 million) for VAT fraud.

In 2019, Poland’s Financial Supervision Authority (KNF) placed BitBay on its public warning list for unauthorized financial activities.

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In January 2025, the Office of Competition and Consumer Protection, Poland’s consumer protection agency, started an investigation — still in progress — into BB Trade Estonia, Zonda’s owner, for “violating the collective interests of consumers,” Fakt reported earlier this month.

“Fundamental error”

In an April 6 post on X, Kral said reports of the reported decline in reserves stemmed from a “fundamental analytical error” by focusing solely on hot wallets. At the time, Zonda stood as a “stable, solvent, and secure entity.”

As for withdrawal delays, he said that at one point the platform processed tens of thousands of requests in a short period, far above normal levels. That, plus “the implementation of new, advanced security and transaction monitoring systems,” forced manual withdrawal verifications.

The wallet presented as proof of reserves following customer demand has seen little recent activity. Onchain data shows no outgoing movements whatsoever, and a total of 32 receiving transactions.

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As for the veto vote, 191 MPs voted in favor of Nawrocki’s veto and 243 against it, 20 mandates too few to overturn the block, TVP World reported.

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Palantir (PLTR) Stock Eyes Major FAA Air Traffic AI Contract With 47% Analyst Upside

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PLTR Stock Card

Key Highlights

  • Palantir is competing alongside Thales and Air Space Intelligence for a major FAA contract to develop AI-driven air traffic control technology.
  • Congress has allocated $12.5 billion to the FAA’s modernization effort, though the agency projects it will need approximately $20 billion in additional funding.
  • The proposed AI system aims to mitigate airspace congestion and provide early warnings when aircraft proximity becomes concerning.
  • On April 10, Wedbush reaffirmed its Outperform stance on PLTR with a $230 price target, dismissing concerns about competition from Anthropic.
  • Among 32 Wall Street analysts tracking PLTR, 63% maintain Buy recommendations, with consensus price targets suggesting upside potential exceeding 47%.

The Federal Aviation Administration is undertaking what could become the most significant technological transformation in American aviation infrastructure, and Palantir Technologies is positioning itself as a key player.

A Bloomberg report citing an individual with knowledge of the situation reveals that the FAA has selected Palantir Technologies (PLTR), Thales (THLLY), and Air Space Intelligence as finalists competing to secure a contract for developing next-generation AI-based air traffic control capabilities.

This initiative represents a critical component of the agency’s ambitious plan to upgrade America’s outdated air traffic infrastructure, which has struggled under increasing flight demand and decades of delayed technological improvements.


PLTR Stock Card
Palantir Technologies Inc., PLTR

Congressional appropriations have provided the FAA with $12.5 billion toward this modernization campaign. However, agency projections indicate an additional $20 billion will be required to fully execute the transformation.

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This substantial financing shortfall amplifies the urgency for implementing innovative, cost-effective technological solutions.

The AI-powered platform under development would deliver multiple operational capabilities. Among the anticipated features: identifying scheduling conflicts when excessive departure or arrival sequences create bottlenecks, enabling air traffic controllers to preemptively address congestion issues.

Additionally, the system would monitor aircraft separation distances and issue alerts when planes venture dangerously close to one another — a critical safety enhancement that could provide controllers with valuable additional response time during high-stress scenarios.

Wedbush Maintains Confidence

Wedbush Securities reiterated its Outperform rating on PLTR on April 10, holding firm at a $230 price target. The investment firm expressed continued optimism regarding Palantir despite market speculation that rivals such as Anthropic might capture market share.

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Anthropic has experienced remarkable expansion — its annualized recurring revenue surged from $9 billion to $30 billion since early 2026. Nevertheless, Wedbush maintains that this competitive momentum hasn’t negatively impacted Palantir’s position.

The firm highlighted Palantir’s proprietary AIP platform and its sophisticated data integration capabilities as strategic differentiators that competitors find challenging to duplicate. Wedbush characterized the company as a frontrunner driving the AI transformation rather than a vulnerable target within it.

Analyst Sentiment Overview

Wall Street sentiment toward PLTR remains predominantly optimistic. Among the 32 analysts providing coverage, 63% have issued Buy recommendations.

Consensus price projections indicate potential appreciation exceeding 47% from present trading levels.

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According to TipRanks analysis, a Moderate Buy rating emerges from recent analyst activity spanning the last three months: 14 Buy ratings, five Hold ratings, and two Sell ratings. The collective average price target from these analysts stands at $194.06.

PLTR stock was trading 2.54% higher at the time of this report.

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Stablecoins Behave Like FX Markets as Liquidity Splits: Eco CEO

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Stablecoins Behave Like FX Markets as Liquidity Splits: Eco CEO

Stablecoins behave like a fragmented foreign exchange market, where liquidity is spread across blockchains and pools, creating price differences and uneven access to dollar liquidity.

Moving stablecoins looks simple on the surface. But under the hood, it’s often a multi-step transaction routed across chains and pools.

“It’s a very special case of a foreign exchange market onchain, and that leads to bad user experience, with unexpected slippage, transaction reversion and unfamiliar information when moving your dollar from point A to point B,” Ryne Saxe, CEO at stablecoin infrastructure company Eco, told Cointelegraph.

Stablecoins now have a market capitalization above $320 billion, led by Tether’s USDt (USDT) and Circle’s USDC (USDC). 

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But as institutions and large traders enter the market, moving large sums of stablecoins becomes harder to execute cleanly.

Stablecoins have continued to grow despite bearish crypto market sentiment. Source: DefiLlama

Stablecoins aren’t as fungible as they seem

A stablecoin may be pegged to the dollar — or other fiat currencies — but it does not trade as a unified asset, with liquidity split across issuers, blockchains and decentralized finance (DeFi) venues, each with its own depth, pricing and access conditions.

“Stablecoins, between them, aren’t very fungible,” said Saxe. “The different profiles between those markets mean pricing and moving stablecoins seamlessly and efficiently across them is actually a hard problem that people take for granted.”

In practice, a dollar stablecoin on one chain may not be equivalent to the same asset elsewhere. Differences in collateral backing, market access and liquidity depth create pricing gaps that widen with size or in thinner markets.

Those differences are typically negligible in liquid markets and for smaller transactions. But as trades get larger, the gaps become bigger.

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“The more major DeFi markets focus on stablecoins, the more chains focus on stablecoins, the more stablecoin assets there are, the more fragmented,” Saxe said. “People think these are just dollars, but they’re actually not.”

In a March report, payments startup Borderless found that pricing divergence in stablecoins depends largely on where liquidity is sourced.

USDC and USDT trade at near-identical prices in most corridors, with 91% of pairs within 10 basis points. Source: Borderless

Related: Instant settlement strains crypto’s capital efficiency: Ethan Buchman

The report collected hourly buy and sell rates throughout February across 66 stablecoin-to-fiat corridors — or conversion routes such as USDC to Mexican pesos — covering 33 currencies and seven blockchains. The data showed that USDC and USDT traded almost identically in most cases.

Larger differences emerged at the provider level, where pricing gaps in the same corridor could exceed hundreds of basis points, making execution quality dependent on access to liquidity and routing across venues.

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Stablecoins become harder to move at size

As stablecoins currently stand, their market structure resembles foreign exchange, where dollar proxies circulate across disconnected markets, according to Saxe. That becomes more visible in larger stablecoin movements across chains.

Stablecoins have become a centerpiece for institutions moving into digital assets, used for trading, cross-border payments and onchain treasury management. Firms rely on them to move capital between venues, settle trades and access yield opportunities across DeFi markets.

Some banks have begun issuing their own stablecoins, such as Societe Generale’s euro-backed token. Source: Societe Generale

Related: Why yen stablecoins are key to Japan’s crypto ambitions

Unlike retail users, institutions often move tens of millions of dollars at a time, where execution needs to be fast, predictable and efficient.

“If liquidity is spread out, trying to sell $10 million of one stablecoin and buy $10 million of another in a single step will move the market,” Saxe said. “What usually needs to happen is breaking that transaction into multiple branches, which may route differently and converge at the destination.”

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In such cases, fragmentation becomes a constraint. Instead of drawing from a single pool of dollar liquidity, institutions must navigate multiple chains, issuers and venues, each with different liquidity conditions. Moving size can shift prices, require splitting trades and introduce uncertainty into execution.

“Right now, they don’t have the risk management, trust and infrastructure that they need to move or hold a lot of stablecoins at size onchain by default,” Saxe said.

Stablecoins need infrastructure, not more supply

Companies are starting to build infrastructure to address those gaps, but they are doing so from different assumptions about what the problem actually is.

Circle is treating stablecoins as the foundation of a new FX system, where multiple currencies, liquidity providers and settlement layers are connected through shared infrastructure. Meanwhile, Eco focuses on routing and execution, aggregating liquidity across fragmented markets.

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Both approaches point to the issue of stablecoins existing across multiple chains or issuers, but the liquidity behind them is distributed and uneven. Moving funds requires interacting with that fragmented liquidity, which introduces pricing differences, routing complexity and execution risk. 

“Fragmentation creates more spread between prices, meaning worse execution in many cases. To solve that, you need to read across markets, see the full liquidity picture, even if it’s fragmented, and route across it,” Saxe said.

For institutions, that complexity directly limits how much capital can move onchain. As Saxe explained, stablecoin flows need to become far more predictable before institutions have the risk management and trust required to move or hold large amounts onchain.

Magazine: Will the CLARITY Act be good — or bad — for DeFi?

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