Emmanuel

Community growth leads @Unicastai. software and blockchain product manager. ex Bizdev @VictusGlobal Passionate about Africa based tech. Cobuilt @officialsyslink

[Emmanuel @MarkyKent]

April 2026: Exploits, Emergency Interventions, and the Fragile Reality of Web3 Security

April 2026 has already cemented itself as one of the most turbulent months in the history of decentralized finance, marked by a series of high profile exploits that exposed structural weaknesses across protocols, governance systems, and cross chain infrastructure. From @solana to Ethereum Layer 2s, and extending into interoperability layers, the pattern is clear complexity is outpacing security, and attackers are evolving faster than defenses.

Among the major incidents, the Hyperbridge hack deserves particular attention as it highlights one of the most dangerous frontiers in Web3 today, cross chain interoperability. Hyperbridge, designed as a liquidity and messaging layer connecting multiple ecosystems, suffered a critical exploit that allowed attackers to manipulate message validation logic between chains. By exploiting inconsistencies in how state proofs were verified across networks, the attacker effectively forged valid cross chain messages, enabling the unauthorized release of locked assets.

What makes the Hyperbridge incident especially alarming is not just the loss itself, but the method. Unlike traditional smart contract bugs confined to a single chain, this exploit leveraged the inherent complexity of cross chain communication, where assumptions about finality, consensus, and validation differ between networks.

The attacker identified a mismatch in verification timing and proof acceptance, allowing them to replay or fabricate transactions that appeared legitimate to the receiving chain. This class of exploit represents a systemic risk because it targets the connective infrastructure holding ecosystems together rather than individual protocols.

The @hyperbridge attack fits into a broader pattern seen throughout April. The Drift Protocol exploit on Solana demonstrated how social engineering combined with protocol level manipulation can drain hundreds of millions when trust assumptions are abused. In response, Tether stepped in with approximately $150M in recovery funding, stabilizing the protocol and reinforcing its role as a liquidity backstop in times of crisis. This intervention stood in contrast to Circle’s more rigid compliance driven approach with USDC, where no comparable emergency action was taken despite its deep integration within Solana’s high volume transaction environment.

Meanwhile, the @KelpDAO exploit triggered another layer of controversy when Arbitrum’s Security Council froze over 30,000 ETH, valued at more than $70M, linked to the attack. This decisive move prevented further laundering of funds but also ignited a debate about whether such powers contradict the ethos of decentralization.

For some, it was proof that Layer 2 systems can act responsibly under pressure. For others, it exposed a centralization vector that challenges the narrative of trustless infrastructure.

Across all these incidents, one factor is becoming increasingly difficult to ignore: the growing role of artificial intelligence in both executing and defending against exploits. Attackers are no longer manually probing contracts line by line.

AI assisted tooling now enables rapid scanning of entire ecosystems, identifying weak points in smart contracts, governance logic, and cross protocol interactions within minutes. In the case of @hyperbridge , it is highly plausible that automated analysis was used to model cross chain verification flows and detect subtle inconsistencies that would be nearly impossible to catch through manual auditing alone.

AI also amplifies social engineering. In attacks like @DriftProtocol where trust building and identity manipulation played a role, AI generated personas and behavioral patterns can make malicious actors indistinguishable from legitimate participants over extended periods.

This shifts the threat model from purely technical vulnerabilities to socio technical systems.

[Grey BTC @greybtc]

A SpaceX Welder Just Became a Millionaire Overnight

Juan Hernandez, a Mexican immigrant and former SpaceX welder, held onto his employee stock for years. When SpaceX went public this week, his $10,000 grant turned into over $1 million.

2015: Hernandez took a $28/hr welding job at SpaceX. Got a $10k stock grant. Bought more via payroll deductions.

Over 4,400 current and former SpaceX employees became millionaires from the IPO not just executives, but welders, machinists, and factory workers.

This man just outperformed a lot of $ETH holders out there.

[Emmanuel @MarkyKent]

I'm trying to complete my profile and getstarted but I'm stucked here @Wefunder what might be the cause?

[Wefunder @Wefunder]

Over the last few years, Healthcare has been the #1 sector on Wefunder by dollars raised.

These investor notes suggest why.

@pirouettepharma

[Adewale Yusuf @AdewaleYusuf_]

One of the startups I invested in just raised $200M at a $5.2B valuation.

I backed @mercury while I was still in Nigeria; no proximity, no special access, just belief in the mission.
My investment? A small check through @Wefunder

The lesson is simple:
You don’t need to be rich.
You don’t need to live in the US.
You just need to start.

Platforms like Wefunder, Republic, AngelList, and StartEngine make it possible to invest from as little as $100.

Start small. Start early.
Because one decision today can compound into something massive tomorrow.

[Emmanuel @MarkyKent]

@GossipMillNaija The Zoo we call a country.

[Emmanuel @MarkyKent]

@Effkay43 Lol 😂 I think say nah only me deh experience that thing.

[Emmanuel @MarkyKent]

The most honest Ai ever existed.

[DUKE 🇲🇾 @DUKETHAGREAT]

got an edit using CLAUDE AI.

Probably nothing.

U885KE

[Emmanuel @MarkyKent]

@DUKETHAGREAT 🔥🔥

[Dami.base.eth @Sir_Damilare]

https://t.co/uhNvfg3J0o

[Emmanuel @MarkyKent]

@Taryl_Ogle That's my girl.

[Emmanuel @MarkyKent]

@bl0ckjames @iptsai You are welcome

[Emmanuel @MarkyKent]

@InfoSpace_OG Wild space.

[Emmanuel @MarkyKent]

Software as a Service, commonly known as SaaS, has become one of the most dominant models in modern software delivery. Over the past 15 to 20 years, it has transformed how businesses access tools, manage operations, and scale digital infrastructure.

From CRM systems and collaboration tools to analytics platforms and industry specific solutions, SaaS has grown into a global market measured in hundreds of billions of dollars annually.

Research from major industry analysts such as Gartner has consistently shown strong continued growth in cloud software spending, with SaaS representing a significant portion of enterprise technology budgets worldwide.

In recent years, there has been an increasing discussion around whether it has become more difficult to build and scale SaaS products. This conversation does not suggest that SaaS is in decline. Instead, it reflects how the market has matured and how expectations from both customers and investors have evolved.

As with most technology cycles, early phases tend to offer simpler entry points, while later stages introduce higher levels of competition, specialization, and customer sophistication.

One of the most important changes is market maturity. In the early cloud era, many business processes had limited or fragmented software solutions. This allowed early SaaS companies to define categories and rapidly capture market share.

Today, however, most core business functions already have multiple established SaaS providers. CRM, HR management, project management, marketing automation, and customer support are all well served by global leaders and strong niche competitors.

As a result, new entrants are often building in spaces where customer expectations are already shaped by existing high-quality solutions.

At the same time, customer acquisition has become more structured and data driven. Industry benchmarks published by firms such as OpenView Partners and ProfitWell have shown that customer acquisition costs in SaaS have generally increased over time in several segments. Sales cycles, especially in mid market and enterprise segments, tend to be more formal, involving procurement teams, security reviews, and long-term vendor evaluation. This does not make growth impossible, but it does require more deliberatego-too market planning compared to earlier stages of SaaS development when product led growth alone could drive rapid adoption.

Another important shift is the expansion of large technology ecosystems. Platforms such as Microsoft, Google Cloud, Amazon Web Services, and Salesforce have significantly broadened their product offerings. In many cases, SaaS products are now evaluated as part of integrated technology stacks rather than standalone tools.

This has created both opportunities and challenges. On one hand, SaaS companies can distribute through marketplaces and integrations. On the other hand, some features that were once standalone products are increasingly bundled into broader platforms, which changes competitive dynamics.

Despite these changes, many SaaS companies continue to achieve significant scale andlong-term success.

Companies such as Salesforce, ServiceNow, Shopify, Zoom, and Snowflake are frequently cited examples of large-scale SaaS businesses that have reached multi-billion dollar valuations or revenues. Their success is often attributed to different strengths. Salesforce benefited from early cloud adoption and strong enterprise positioning.

ServiceNow embedded itself deeply into enterprise workflows, creating high switching costs. Shopify built a comprehensive commerce ecosystem that extends beyond software into payments and logistics. Zoom focused on simplicity and reliability in a crowded communication space.

[Emmanuel @MarkyKent]

@tweetsbybright Use Google drive.

[Emmanuel @MarkyKent]

@cryptobeast PSG 3- ARS 1.

[Emmanuel @MarkyKent]

If you're a French SaaS company eyeing Southeast Asia, this is the session you don't want to miss. We'll be getting into the real stuff what's actually working in the region, where deals get stuck, and how to build commercial momentum without over-committing too early.

We're also thrilled to have Jahia Solutions joining us to share their firsthand experience. Nothing beats real field feedback from a publisher who's navigated this path.

https://t.co/pKFHUmESYO

📅 June 10 | 11:00 AM (Paris time) | 45 min

[Emmanuel @MarkyKent]

@AdewaleYusuf_ @mercury @Wefunder Thanks for sharing

[Emmanuel @MarkyKent]

I will go with Crypto Mama advice. He should use his car for bolt for now while looking into other biz. Or he should sell the car then use the proceeds from the car to start cement business with a touch of building materials. That is what is in demand now, and he will be seeing his daily 50k NGN from there. Plus he should puase the house development for now. Also I hope the house he is building is for rental not for personal use?

[Emmanuel @MarkyKent]

https://t.co/cifmeG6Ila

[Emmanuel @MarkyKent]

@nikitabier Lmao 🤣