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Let me share something I've seen time and time again in my work with sales teams across various industries. Salespeople often struggle not because they're lacking in skill or motivation, but because they're operating without clear guidance from their leadership. This isn't a sales issue—it's a systemic problem rooted in the very core of organizational management. I recall a particular company I worked with not too long ago. The sales team was composed of talented, driven individuals who were eager to make their mark. Yet, quarter after quarter, they failed to hit their targets. The executives were baffled. They had hired the best people, provided them with solid products, and yet the numbers just weren't adding up. So, I dug a little deeper. I sat down with the salespeople, and what I found was both revealing and, unfortunately, all too common. They were confused. The company's strategy seemed to change with the wind. One week, the focus was on pushing a new product line; the next, it was about upselling existing clients; and the week after, it shifted to breaking into new markets altogether. There was no consistent direction, no stable targets to aim for. This lack of clarity from leadership created a ripple effect throughout the sales team. Without a clear understanding of priorities, salespeople were left to make their own interpretations of what was important. Some focused on existing accounts, others chased new leads, and others still spent time on low-impact activities that did little to drive sales. The result? Diffused efforts and disappointing results. You see, salespeople thrive on direction. They need to know the "why" behind their actions—the overarching goals that their daily activities contribute to. When leadership fails to provide this, it's like asking someone to build a house without a blueprint. Sure, they might have the tools and materials, but without a plan, the end result is unlikely to be structurally sound. Leadership's role is crucial in setting this foundation. It's up to the executives and managers to define the company's strategic targets clearly. Who are our ideal customers? What markets are we focusing on? What products or services are our priorities? These are questions that should be answered definitively and communicated effectively to the sales team. Moreover, consistency is key. Changing strategies frequently not only confuses the sales team but also undermines their confidence in leadership. It's important to stay the course long enough to see results, making adjustments as necessary but avoiding knee-jerk reactions to every minor market fluctuation. But let's not stop at setting clear targets. Leadership must also equip salespeople with the necessary tools and resources—what I like to call "sales weapons." This includes everything from a compelling sales story and up-to-date marketing collateral to ongoing training and development opportunities. Without these, even the most clearly defined targets can seem out of reach. Finally, planning and executing the sales attack requires support from the top down. Salespeople need to know that their leaders have their backs, providing not just direction but also encouragement and recognition. When leadership is engaged and supportive, it fosters a culture where salespeople feel valued and motivated to perform at their best. So, if you're noticing that your sales team is underperforming, take a moment before pointing fingers. Ask yourself: Have we provided clear and consistent direction?
Do our salespeople understand our strategic priorities?
Are we equipping them with the tools they need to succeed?
Are we supporting them with effective leadership and a positive culture? Chances are, if there's a disconnect in any of these areas, the issue lies within the system, not the sales team. In conclusion, clarity and direction from leadership aren't just nice-to-haves—they're essential components of a successful sales operation. By addressing these systemic issues, you empower your salespeople to focus on what they do best: building relationships, solving problems, and closing deals. And when they succeed, everyone in the organization benefits. So let's commit to providing that clarity. Let's be the kind of leaders who set clear paths, equip our teams, and support them every step of the way. Because when leadership steps up, salespeople can truly shine. Let me share something I've seen time and time again in my work with sales teams across various industries. Salespeople often struggle not because they're lacking in skill or motivation, but because they're operating without clear guidance from their leadership . This isn't a sales issue— it's a systemic problem rooted in the very core of organizational management. they're operating without clear guidance from their leadership it's a systemic problem I recall a particular company I worked with not too long ago. The sales team was composed of talented, driven individuals who were eager to make their mark. Yet, quarter after quarter, they failed to hit their targets. The executives were baffled. They had hired the best people, provided them with solid products, and yet the numbers just weren't adding up. So, I dug a little deeper. I sat down with the salespeople, and what I found was both revealing and, unfortunately, all too common. They were confused. The company's strategy seemed to change with the wind. One week, the focus was on pushing a new product line; the next, it was about upselling existing clients; and the week after, it shifted to breaking into new markets altogether. There was no consistent direction , no stable targets to aim for. There was no consistent direction no stable targets to aim for. This lack of clarity from leadership created a ripple effect throughout the sales team. Without a clear understanding of priorities, salespeople were left to make their own interpretations of what was important . Some focused on existing accounts, others chased new leads, and others still spent time on low-impact activities that did little to drive sales. The result? Diffused efforts and disappointing results. Without a clear understanding of priorities, salespeople were left to make their own interpretations of what was important You see, salespeople thrive on direction . They need to know the "why" behind their actions—the overarching goals that their daily activities contribute to. When leadership fails to provide this, it's like asking someone to build a house without a blueprint. Sure, they might have the tools and materials, but without a plan, the end result is unlikely to be structurally sound. salespeople thrive on direction Leadership's role is crucial in setting this foundation. It's up to the executives and managers to define the company's strategic targets clearly. Who are our ideal customers? What markets are we focusing on? What products or services are our priorities? These are questions that should be answered definitively and communicated effectively to the sales team. Moreover, consistency is key . Changing strategies frequently not only confuses the sales team but also undermines their confidence in leadership. It's important to stay the course long enough to see results, making adjustments as necessary but avoiding knee-jerk reactions to every minor market fluctuation. consistency is key But let's not stop at setting clear targets. Leadership must also equip salespeople with the necessary tools and resources —what I like to call "sales weapons." This includes everything from a compelling sales story and up-to-date marketing collateral to ongoing training and development opportunities. Without these, even the most clearly defined targets can seem out of reach. Leadership must also equip salespeople with the necessary tools and resources Finally, planning and executing the sales attack requires support from the top down. Salespeople need to know that their leaders have their backs, providing not just direction but also encouragement and recognition. When leadership is engaged and supportive, it fosters a culture where salespeople feel valued and motivated to perform at their best. So, if you're noticing that your sales team is underperforming, take a moment before pointing fingers. Ask yourself: Have we provided clear and consistent direction? Do our salespeople understand our strategic priorities? Are we equipping them with the tools they need to succeed? Are we supporting them with effective leadership and a positive culture? Have we provided clear and consistent direction? Have we provided clear and consistent direction? Do our salespeople understand our strategic priorities? Do our salespeople understand our strategic priorities? Are we equipping them with the tools they need to succeed? Are we equipping them with the tools they need to succeed? Are we supporting them with effective leadership and a positive culture? Are we supporting them with effective leadership and a positive culture? Chances are, if there's a disconnect in any of these areas, the issue lies within the system, not the sales team. In conclusion, clarity and direction from leadership aren't just nice-to-haves—they're essential components of a successful sales operation . By addressing these systemic issues, you empower your salespeople to focus on what they do best: building relationships, solving problems, and closing deals. And when they succeed, everyone in the organization benefits. clarity and direction from leadership aren't just nice-to-haves—they're essential components of a successful sales operation So let's commit to providing that clarity. Let's be the kind of leaders who set clear paths, equip our teams, and support them every step of the way. Because when leadership steps up, salespeople can truly shine.

Why Sales Teams Falter Without Direction: Tackling the Systemic Leadership Problem

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A unified ecosystem with convenient asset transfer between networks is an ideal the crypto space has been chasing for a long time. However, because blockchains have varying token standards and consensus mechanisms, this feat is (currently) only achievable via bridges. The path to Bitcoin (BTC) on Ethereum, Ether (ETH) on the Binance Smart Chain (BSC), Solana (SOL) on Ethereum, and so on runs through a bridge. At the time of writing, DeFiLlama estimated the total value locked (TVL) across all bridges at around $27.79 billion. These are good numbers. But when put in context, they highlight that perhaps, despite the widespread desire for an interoperable crypto ecosystem, bridges are not as widely utilized. Out of the $2.5 trillion of value in the crypto market, only about 0.01% is utilized across chains. This is an indication that not many crypto users are utilizing bridges. And according to Sher, CEO of Zecrey Labs (the team behind Kontos Protocol), a big part of this is down to the user experience. The solution, he says, lies in bridge abstraction. The ABCs of Bridging Crypto Assets The crypto space is not known for its user experience. Blockchain-based applications are typically more complicated to set up and use than regular apps, something that the average crypto bridge takes to the extreme. “The blockchain industry is often perceived as complex and difficult to navigate, especially for newcomers. Managing multiple wallets, handling private keys, and understanding gas fees can be daunting for users,” says Sher. It's not known exactly how many people use crypto bridges. What is known, however, is that for most users, the experience is anything but convenient. Crypto bridges tend to have unintuitive interfaces, with users often required to go through several steps to complete a bridge operation, which can take anywhere from a few minutes to several hours and attract significant fees. At the same time, the bridging scene is itself fragmented. Many bridging protocols only support a limited set of assets and blockchain pairs. “This means that currently, there are numerous bridges for different blockchain pairs, each with its own protocols and interface. Thus, users are regularly forced to use multiple bridges to get their assets on the target chain,” says Sher. When someone wants to interact with a chain like Avalanche, they typically need to address two aspects: Gas fees: They need to bridge AVAX tokens to Avalanche to pay for transaction fees (gas) on the network.


Other assets: They may also want to bridge other assets, such as stablecoins like USDT, to use within the Avalanche ecosystem. This dual requirement often means users must perform multiple bridging operations or use a service that can handle both aspects in a streamlined manner. The complexity of this process can be a barrier for some users, highlighting the need for more user-friendly bridging solutions. This is where bridge abstraction comes into play. What Is Bridge Abstraction? “The Bridge Abstraction Layer (BAL) is a structural design pattern that separates the abstraction (interface) from the implementation (underlying mechanics),” says Sher. “This decoupling allows for greater flexibility and independent development of both components.” Bridge abstraction builds on the concept of chain abstraction, where the aim is to hide the complexities of interacting with blockchains from the end user. When the user isn’t dealing with the specific details of underlying protocols, traditionally complex operations like cross-chain trading and asset transfer become straightforward. Abstraction essentially lets developers build cross-chain solutions without being tied to specific implementation details. According to Sher,  this translates to lesser involvement from the user during a bridging operation, as seen in Kontos’ design, which allows users to bridge across multiple chains via a single interface. Kontos is designed around the user’s intent. If someone intends to get tokens on a particular chain, they can do so using any assets they have on any chain(s). This is possible because the protocol lets users combine assets from various chains and move them to the target chain. It uses smart contracts and a network of participants to handle the complexities of gas estimation and payment behind the scenes. “Kontos' approach to gas abstraction represents a significant innovation in improving blockchain usability,” says Sher. ”By tackling this complex problem, Kontos is addressing one of the major pain points in blockchain interaction, potentially setting a new standard for user experience in the multi-chain ecosystem.” A New Standard for On-chain User Experience Bridge abstraction is a significant leap forward in simplifying interactions across blockchain networks. Users typically had to navigate complex processes when bridging assets, ensuring they had enough gas tokens on the source chain, selecting both the source and target chains, and managing specific assets across networks. With bridge abstraction, these barriers are minimized. Bridging no longer requires holding gas tokens on the source chain or keeping track of which chain assets are located. Instead, utilizing assets from multiple chains in a single task is possible. The system will calculate and optimize costs behind the scenes. This evolution promises a smoother, more intuitive on-chain experience that allows users to focus on their transactions rather than the intricacies of blockchain mechanics. It sets a new standard for blockchain accessibility and usability, paving the way for a more inclusive and user-friendly web3 ecosystem. A unified ecosystem with convenient asset transfer between networks is an ideal the crypto space has been chasing for a long time. However, because blockchains have varying token standards and consensus mechanisms, this feat is (currently) only achievable via bridges. A unified ecosystem with convenient asset transfer between networks is an ideal the crypto space has been chasing for a long time. However, because blockchains have varying token standards and consensus mechanisms, this feat is (currently) only achievable via bridges. The path to Bitcoin (BTC) on Ethereum, Ether (ETH) on the Binance Smart Chain (BSC), Solana (SOL) on Ethereum, and so on runs through a bridge. At the time of writing, DeFiLlama estimated the total value locked (TVL) across all bridges at around $27.79 billion. DeFiLlama DeFiLlama These are good numbers. But when put in context, they highlight that perhaps, despite the widespread desire for an interoperable crypto ecosystem, bridges are not as widely utilized. Out of the $2.5 trillion of value in the crypto market, only about 0.01% is utilized across chains. $2.5 trillion of value $2.5 trillion of value This is an indication that not many crypto users are utilizing bridges. And according to Sher, CEO of Zecrey Labs (the team behind Kontos Protocol ) , a big part of this is down to the user experience. The solution, he says, lies in bridge abstraction. Zecrey Labs Zecrey Labs Kontos Protoc ol Kontos Protoc , The ABCs of Bridging Crypto Assets The crypto space is not known for its user experience. Blockchain-based applications are typically more complicated to set up and use than regular apps, something that the average crypto bridge takes to the extreme. “The blockchain industry is often perceived as complex and difficult to navigate, especially for newcomers. Managing multiple wallets, handling private keys, and understanding gas fees can be daunting for users,” says Sher. says Sher. It's not known exactly how many people use crypto bridges. What is known, however, is that for most users, the experience is anything but convenient. Crypto bridges tend to have unintuitive interfaces, with users often required to go through several steps to complete a bridge operation, which can take anywhere from a few minutes to several hours and attract significant fees. At the same time, the bridging scene is itself fragmented. Many bridging protocols only support a limited set of assets and blockchain pairs. “This means that currently, there are numerous bridges for different blockchain pairs, each with its own protocols and interface. Thus, users are regularly forced to use multiple bridges to get their assets on the target chain,” says Sher. says Sher. When someone wants to interact with a chain like Avalanche, they typically need to address two aspects: Gas fees: They need to bridge AVAX tokens to Avalanche to pay for transaction fees (gas) on the network. Other assets: They may also want to bridge other assets, such as stablecoins like USDT, to use within the Avalanche ecosystem. Gas fees: They need to bridge AVAX tokens to Avalanche to pay for transaction fees (gas) on the network. Gas fees: They need to bridge AVAX tokens to Avalanche to pay for transaction fees (gas) on the network. Other assets: They may also want to bridge other assets, such as stablecoins like USDT, to use within the Avalanche ecosystem. Other assets: They may also want to bridge other assets, such as stablecoins like USDT, to use within the Avalanche ecosystem. This dual requirement often means users must perform multiple bridging operations or use a service that can handle both aspects in a streamlined manner. The complexity of this process can be a barrier for some users, highlighting the need for more user-friendly bridging solutions. This is where bridge abstraction comes into play. What Is Bridge Abstraction? “The Bridge Abstraction Layer (BAL) is a structural design pattern that separates the abstraction (interface) from the implementation (underlying mechanics),” says Sher. “This decoupling allows for greater flexibility and independent development of both components.” says Sher. Bridge abstraction builds on the concept of chain abstraction, where the aim is to hide the complexities of interacting with blockchains from the end user. When the user isn’t dealing with the specific details of underlying protocols, traditionally complex operations like cross-chain trading and asset transfer become straightforward. Abstraction essentially lets developers build cross-chain solutions without being tied to specific implementation details. According to Sher, this translates to lesser involvement from the user during a bridging operation, as seen in Kontos’ design, which allows users to bridge across multiple chains via a single interface. Sher, Kontos is designed around the user’s intent. If someone intends to get tokens on a particular chain, they can do so using any assets they have on any chain(s). This is possible because the protocol lets users combine assets from various chains and move them to the target chain. It uses smart contracts and a network of participants to handle the complexities of gas estimation and payment behind the scenes. “Kontos' approach to gas abstraction represents a significant innovation in improving blockchain usability,” says Sher. ”By tackling this complex problem, Kontos is addressing one of the major pain points in blockchain interaction, potentially setting a new standard for user experience in the multi-chain ecosystem.” says Sher. A New Standard for On-chain User Experience Bridge abstraction is a significant leap forward in simplifying interactions across blockchain networks. Users typically had to navigate complex processes when bridging assets, ensuring they had enough gas tokens on the source chain, selecting both the source and target chains, and managing specific assets across networks. With bridge abstraction, these barriers are minimized. Bridging no longer requires holding gas tokens on the source chain or keeping track of which chain assets are located. Instead, utilizing assets from multiple chains in a single task is possible. The system will calculate and optimize costs behind the scenes. This evolution promises a smoother, more intuitive on-chain experience that allows users to focus on their transactions rather than the intricacies of blockchain mechanics. It sets a new standard for blockchain accessibility and usability, paving the way for a more inclusive and user-friendly web3 ecosystem.

Bridge Abstraction - The Key to Unlocking True Blockchain Interoperability

OFF Radio Krakow, a radio station in Poland, has made a groundbreaking move and replaced its human presenters with AI. And this is just the beginning. In the not-too-distant future, many radio and television stations will likely begin to replace their presenters with AI due to advancements in natural language processing and video synthesis technologies. AI technology can also help translate scripts and interviews from one language to another. Imagine CNN, MSNBC, or FOX using AI instead of human staff. According to a BBC report, “In Kuwait, an AI persona by the name of Fedha ran through the headlines for Kuwait News. Hermes presented the news in May 2023 for Greek state broadcaster ERT. South Korean broadcaster SBS handed over the duties of news presenting to Zae-In, an AI-generated deepfake, for five months this year. There are others in India and Taiwan, too – all created by AI.” It may not be a bad idea. For one, this could potentially reduce mistakes, gaffes, and unpleasant moments. It could also save costs. According to The Wrap, Anderson Cooper is said to earn an estimated $20 million a year; Wolf Blitzer, $15 million; Jake Tapper, $8.5 million; and Chris Wallace, who makes about $8 million. Other networks no doubt pay their hosts similar salaries, and it is no wonder that companies are showing a keen interest in understanding how AI could work for them and whether the move is worthwhile. So far, the idea seems to suggest it would pay off financially. In terms of programming, AI hosts can literally provide news 24 hours a day without getting tired. They can also deliver breaking news within seconds, don’t need make-up, and don’t go on vacation. While these are, of course, great advantages for networks seeking to cut costs and operate continuously, they don’t solve every problem. Networks will maintain the role of human broadcasters in fields that require deep contextual knowledge, personal experience, or emotional intelligence, like investigative journalism and complex live reporting. There are other reasons as well. While in much of the world, journalists view the use of artificial intelligence as a looming threat to livelihoods, in Venezuela – where showing your face on a news report can conceivably land you in jail – many people view it as protection. In an interesting development in this field, Microsoft and OpenAI are investing up to $10 million to help local news organizations implement artificial intelligence in their operations. Each recipient outlet will receive funding to hire a two-year AI expert, along with $5 million worth of combined cash and technology credits split between Microsoft Azure and OpenAI services. The program aims to help local news organizations develop new revenue streams and improve their operations using AI tools. The program is part of the Lenfest Institute's Local Independent News Coalition, which includes eight of the largest independently owned metropolitan news organizations in the United States. These outlets will work together to develop AI solutions that uphold journalistic standards while strengthening their business models. According to Open Society Foundations, AI and Large Language Models (LLMs), in particular, “are likely to bring about significant and lasting structural change to information ecosystems as we know them.” Global concerns about the use of AI in news production and misinformation are growing, a report published by the Reuters Institute for the Study of Journalism found. The report found that consumers are suspicious about the use of AI to create news content, particularly for sensitive subjects such as politics. According to the survey, 52% of U.S. respondents and 63% of UK respondents said they would be uncomfortable with news produced mostly with AI. The report surveyed 2,000 people in each country, noting that respondents were more comfortable with behind-the-scenes uses of AI to make journalists' work more efficient. However, this specific poll deals with journalists using AI to write stories as opposed to newsrooms using AI characters to deliver the news on television. Part of the problem is that AI avatars cannot interpret or express humor or deal with complex ethical judgments. Certainly in a round- table setting, AI will not be able to engage in banter and various degrees of analysis. For this type of journalism, perhaps the most important kind where the public relies on journalists to decipher and analyze important news, AI will remain insufficient, and the need for human presenters will continue. OFF Radio Krakow, a radio station in Poland, has made a groundbreaking move and replaced its human presenters with AI . replaced its human presenters with AI And this is just the beginning. In the not-too-distant future, many radio and television stations will likely begin to replace their presenters with AI due to advancements in natural language processing and video synthesis technologies. AI technology can also help translate scripts and interviews from one language to another. Imagine CNN, MSNBC, or FOX using AI instead of human staff. According to a BBC report , “In Kuwait, an AI persona by the name of Fedha ran through the headlines for Kuwait News. Hermes presented the news in May 2023 for Greek state broadcaster ERT. South Korean broadcaster SBS handed over the duties of news presenting to Zae-In, an AI-generated deepfake, for five months this year. There are others in India and Taiwan, too – all created by AI.” BBC report Hermes presented the news handed over the duties It may not be a bad idea. For one, this could potentially reduce mistakes, gaffes, and unpleasant moments. It could also save costs. According to The Wrap , Anderson Cooper is said to earn an estimated $20 million a year; Wolf Blitzer, $15 million; Jake Tapper, $8.5 million; and Chris Wallace, who makes about $8 million. According to The Wrap Other networks no doubt pay their hosts similar salaries, and it is no wonder that companies are showing a keen interest in understanding how AI could work for them and whether the move is worthwhile. So far, the idea seems to suggest it would pay off financially. In terms of programming, AI hosts can literally provide news 24 hours a day without getting tired. They can also deliver breaking news within seconds, don’t need make-up, and don’t go on vacation. While these are, of course, great advantages for networks seeking to cut costs and operate continuously, they don’t solve every problem. Networks will maintain the role of human broadcasters in fields that require deep contextual knowledge, personal experience, or emotional intelligence, like investigative journalism and complex live reporting. There are other reasons as well. While in much of the world, journalists view the use of artificial intelligence as a looming threat to livelihoods, in Venezuela – where showing your face on a news report can conceivably land you in jail – many people view it as protection. can conceivably land you in jail In an interesting development in this field, Microsoft and OpenAI are investing up to $10 million to help local news organizations implement artificial intelligence in their operations. to help local news organizations implement artificial intelligence Each recipient outlet will receive funding to hire a two-year AI expert, along with $5 million worth of combined cash and technology credits split between Microsoft Azure and OpenAI services. The program aims to help local news organizations develop new revenue streams and improve their operations using AI tools. The program is part of the Lenfest Institute's Local Independent News Coalition, which includes eight of the largest independently owned metropolitan news organizations in the United States. These outlets will work together to develop AI solutions that uphold journalistic standards while strengthening their business models. According to Open Society Foundations , AI and Large Language Models (LLMs), in particular, “are likely to bring about significant and lasting structural change to information ecosystems as we know them.” Open Society Foundations Global concerns about the use of AI in news production and misinformation are growing, a report published by the Reuters Institute for the Study of Journalism found. The report found that consumers are suspicious about the use of AI to create news content, particularly for sensitive subjects such as politics. According to the survey, 52% of U.S. respondents and 63% of UK respondents said they would be uncomfortable with news produced mostly with AI. The report surveyed 2,000 people in each country, noting that respondents were more comfortable with behind-the-scenes uses of AI to make journalists' work more efficient. However, this specific poll deals with journalists using AI to write stories as opposed to newsrooms using AI characters to deliver the news on television. Part of the problem is that AI avatars cannot interpret or express humor or deal with complex ethical judgments. Certainly in a round- table setting, AI will not be able to engage in banter and various degrees of analysis. For this type of journalism, perhaps the most important kind where the public relies on journalists to decipher and analyze important news, AI will remain insufficient, and the need for human presenters will continue.

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Hey Hackers, TILDI TECH has been nominated in HackerNoon's annual Startups of The Year awards in Agadir, Morocco. Please vote for us here: https://hackernoon.com/startups/industry/professional-services?stup=66f320bb6ea4677e23df1b87&embedable=true Read more about us below to understand why we deserve your vote. Meet TILDI TECH TILDI TECH is a technical design office specializing in civil engineering, IT consulting, and digital marketing services. We offer structural design for reinforced concrete, steel structures, and wooden frames, as well as technical solutions for electrical, plumbing, and HVAC systems. Additionally, we help businesses thrive online through website development, SEO, SMO, and complete digital strategy management. How TILDI TECH achieved product-market fit TILDI TECH has achieved solid product-market fit by catering to both the civil engineering sector and the growing demand for IT and digital marketing solutions. Our combination of services allows us to meet the specific needs of a wide range of clients, from construction companies to digital enterprises. The demand for integrated engineering and digital solutions has driven our growth and solidified our position in the market. Key indicators that support our belief in TILDI TECH’s product-market fit include:

High Client Retention: Many of our clients repeatedly engage us for both engineering and digital services, indicating trust and satisfaction.
Diverse Portfolio: Our ability to successfully deliver projects in civil engineering, IT consulting, and digital marketing shows the versatility and demand for our services.
Growing Referrals: Word-of-mouth referrals from satisfied clients have driven consistent business growth.
Quantifiable Results: SEO strategies we’ve implemented for clients have led to significant traffic increases, demonstrating our digital impact. The evolution of TILDI TECH Our journey has been marked by continuous adaptation and expansion. Initially focused on civil engineering, we later incorporated IT and digital marketing services to meet the growing needs of clients. This pivot allowed us to stay relevant in a competitive market.
Feedback from clients emphasized the need for a holistic approach, combining technical design with online presence management, which led to our current service offerings. Milestones and achievements Successful completion of several high-profile engineering projects, including technical studies for industrial buildings.
Expansion into IT consulting, with key projects in web development and digital marketing strategy.
Developed and optimized SEO strategies that boosted client visibility and traffic by up to 50%.
Established a solid client base across multiple sectors including construction, real estate, and industry. Lessons learned One of our biggest challenges was balancing our technical engineering services with the fast-paced digital market. We quickly learned that offering a diversified range of services requires not only technical expertise but also seamless project management.
A key lesson has been the importance of communication ”both with clients and within our own teams” to ensure project alignment and successful delivery. What Startups of The Year means to us Participating in HackerNoon’s Startups of the Year 2024 is an exciting opportunity for us to showcase the unique blend of services we offer. It provides visibility and a platform to highlight our contribution to the intersection of civil engineering and digital transformation. We hope to use this platform to attract new partnerships, build industry credibility, and inspire innovation. Conclusion Vote for TILDI TECH in the "Startups of The Year 2024" competition! Our combination of engineering expertise and digital innovation allows us to stand out and contribute meaningfully to both industries. Thank you for your support! Vote for us today! https://hackernoon.com/startups/industry/professional-services . Welcome to HackerNoon’s Startups of The Year 2024 interview series, spotlighting startups from around the world that are changing the way we live, one solution at a time. If you’ve been nominated, create a brand profile and answer these questions here.
Want to nominate a startup? Follow the steps here.Looking for inspiration? Check out how other startups responded to last year’s Startups of The Year interview questions and examples of company responses here, here, and here. Hey Hackers, TILDI TECH has been nominated in HackerNoon's annual Startups of The Year awards in Agadir, Morocco. TILDI TECH Please vote for us here: Please vote for us here: https://hackernoon.com/startups/industry/professional-services?stup=66f320bb6ea4677e23df1b87&embedable=true https://hackernoon.com/startups/industry/professional-services?stup=66f320bb6ea4677e23df1b87&embedable=true Read more about us below to understand why we deserve your vote. Meet TILDI TECH TILDI TECH is a technical design office specializing in civil engineering, IT consulting, and digital marketing services. We offer structural design for reinforced concrete, steel structures, and wooden frames, as well as technical solutions for electrical, plumbing, and HVAC systems. Additionally, we help businesses thrive online through website development, SEO, SMO, and complete digital strategy management. How TILDI TECH achieved product-market fit TILDI TECH has achieved solid product-market fit by catering to both the civil engineering sector and the growing demand for IT and digital marketing solutions. Our combination of services allows us to meet the specific needs of a wide range of clients, from construction companies to digital enterprises. The demand for integrated engineering and digital solutions has driven our growth and solidified our position in the market. Key indicators that support our belief in TILDI TECH’s product-market fit include:

High Client Retention: Many of our clients repeatedly engage us for both engineering and digital services, indicating trust and satisfaction.
Diverse Portfolio: Our ability to successfully deliver projects in civil engineering, IT consulting, and digital marketing shows the versatility and demand for our services.
Growing Referrals: Word-of-mouth referrals from satisfied clients have driven consistent business growth.
Quantifiable Results: SEO strategies we’ve implemented for clients have led to significant traffic increases, demonstrating our digital impact. Key indicators that support our belief in TILDI TECH’s product-market fit include: High Client Retention: Many of our clients repeatedly engage us for both engineering and digital services, indicating trust and satisfaction.
Diverse Portfolio: Our ability to successfully deliver projects in civil engineering, IT consulting, and digital marketing shows the versatility and demand for our services.
Growing Referrals: Word-of-mouth referrals from satisfied clients have driven consistent business growth.
Quantifiable Results: SEO strategies we’ve implemented for clients have led to significant traffic increases, demonstrating our digital impact. Key indicators that support our belief in TILDI TECH’s product-market fit include: High Client Retention: Many of our clients repeatedly engage us for both engineering and digital services, indicating trust and satisfaction. Diverse Portfolio: Our ability to successfully deliver projects in civil engineering, IT consulting, and digital marketing shows the versatility and demand for our services. Growing Referrals: Word-of-mouth referrals from satisfied clients have driven consistent business growth. Quantifiable Results: SEO strategies we’ve implemented for clients have led to significant traffic increases, demonstrating our digital impact. High Client Retention : Many of our clients repeatedly engage us for both engineering and digital services, indicating trust and satisfaction. High Client Retention Diverse Portfolio : Our ability to successfully deliver projects in civil engineering, IT consulting, and digital marketing shows the versatility and demand for our services. Diverse Portfolio Growing Referrals : Word-of-mouth referrals from satisfied clients have driven consistent business growth. Growing Referrals Quantifiable Results : SEO strategies we’ve implemented for clients have led to significant traffic increases, demonstrating our digital impact. Quantifiable Results The evolution of TILDI TECH Our journey has been marked by continuous adaptation and expansion. Initially focused on civil engineering, we later incorporated IT and digital marketing services to meet the growing needs of clients. This pivot allowed us to stay relevant in a competitive market. Feedback from clients emphasized the need for a holistic approach, combining technical design with online presence management, which led to our current service offerings. Initially focused on civil engineering, we later incorporated IT and digital marketing services to meet the growing needs of clients. This pivot allowed us to stay relevant in a competitive market. Feedback from clients emphasized the need for a holistic approach, combining technical design with online presence management, which led to our current service offerings. Milestones and achievements Successful completion of several high-profile engineering projects, including technical studies for industrial buildings. Expansion into IT consulting, with key projects in web development and digital marketing strategy. Developed and optimized SEO strategies that boosted client visibility and traffic by up to 50%. Established a solid client base across multiple sectors including construction, real estate, and industry. Successful completion of several high-profile engineering projects, including technical studies for industrial buildings. Expansion into IT consulting, with key projects in web development and digital marketing strategy. Developed and optimized SEO strategies that boosted client visibility and traffic by up to 50%. Established a solid client base across multiple sectors including construction, real estate, and industry. Lessons learned One of our biggest challenges was balancing our technical engineering services with the fast-paced digital market. We quickly learned that offering a diversified range of services requires not only technical expertise but also seamless project management. A key lesson has been the importance of communication ”both with clients and within our own teams” to ensure project alignment and successful delivery. One of our biggest challenges was balancing our technical engineering services with the fast-paced digital market. We quickly learned that offering a diversified range of services requires not only technical expertise but also seamless project management. A key lesson has been the importance of communication ”both with clients and within our own teams” to ensure project alignment and successful delivery. What Startups of The Year means to us Participating in HackerNoon’s Startups of the Year 2024 is an exciting opportunity for us to showcase the unique blend of services we offer. It provides visibility and a platform to highlight our contribution to the intersection of civil engineering and digital transformation. We hope to use this platform to attract new partnerships, build industry credibility, and inspire innovation. Participating in HackerNoon’s Startups of the Year 2024 is an exciting opportunity for us to showcase the unique blend of services we offer. It provides visibility and a platform to highlight our contribution to the intersection of civil engineering and digital transformation. We hope to use this platform to attract new partnerships, build industry credibility, and inspire innovation. Conclusion Vote for TILDI TECH in the "Startups of The Year 2024" competition! Our combination of engineering expertise and digital innovation allows us to stand out and contribute meaningfully to both industries. Thank you for your support! TILDI TECH Vote for us today! https://hackernoon.com/startups/industry/professional-services . Vote for us today! https://hackernoon.com/startups/industry/professional-services . https://hackernoon.com/startups/industry/professional-services Welcome to HackerNoon’s Startups of The Year 2024 interview series, spotlighting startups from around the world that are changing the way we live, one solution at a time. If you’ve been nominated, create a brand profile and answer these questions here. Want to nominate a startup? Follow the steps here. Looking for inspiration? Check out how other startups responded to last year’s Startups of The Year interview questions and examples of company responses here, here, and here. Welcome to HackerNoon’s Startups of The Year 2024 interview series, spotlighting startups from around the world that are changing the way we live, one solution at a time. If you’ve been nominated, create a brand profile and answer these questions here . Startups of The Year 2024 create a brand profile create a brand profile create a brand profile here here Want to nominate a startup? Follow the steps here . here here Looking for inspiration? Check out how other startups responded to last year’s Startups of The Year interview questions and examples of company responses here, here, and here. Looking for inspiration? Check out how other startups responded to last year’s Startups of The Year interview questions and examples of company responses here , here , and here . last year’s Startups of The Year interview questions last year’s Startups of The Year interview questions here here here here here here

Meet TILDI TECH, Startups of the Year 2024 Nominee

Authors:
(1) Junwei Su, Department of Computer Science, the University of Hong Kong and jwsu@cs.hku.hk;
(2) Chuan Wu, Department of Computer Science, the University of Hong Kong and cwu@cs.hku.hk. Table of Links Abstract and 1 Introduction 2 Related Work 3 Framework 4 Main Results 5 A Case Study on Shortest-Path Distance 6 Conclusion and Discussion, and References 7 Proof of Theorem 1 8 Proof of Theorem 2 9 Procedure for Solving Eq. (6) 10 Additional Experiments Details and Results 11 Other Potential Applications 11 Other Potential Applications In addition to the initial dataset labelling problem discussed above, there are other potential applications of the proposed framework in other GNNs learning paradigms. Some examples include: 1. Fair k-shot learning: K-shot learning is a type of machine learning where the model is trained to classify new examples based on a small number of labelled examples in the training set. This type of learning is particularly useful in many situations where the amount of labelled data is limited. In addition to the active learning discussed earlier, k-shot learning can also be applied in choosing a representative experience replay buffer in incremental learning and transfer learning. 2. Fairness constraint: We can apply the derived results to ensure a fair predictive performance of GNNs for specified structural groups. As we have shown in the paper, the key factor of unfair predictive performance towards different structural groups is the distortion between structural distance and embedding distance. We can penalize the parameters with low distortion, which amounts to the following learning objective: The proposed framework has promising potential for studying and being applied to the above-mentioned problems. Further research into investigating the actual application results would be an interesting future work. This paper is available on arxiv under CC BY 4.0 DEED license. Authors: (1) Junwei Su, Department of Computer Science, the University of Hong Kong and jwsu@cs.hku.hk; (2) Chuan Wu, Department of Computer Science, the University of Hong Kong and cwu@cs.hku.hk. Authors: Authors: (1) Junwei Su, Department of Computer Science, the University of Hong Kong and jwsu@cs.hku.hk; (2) Chuan Wu, Department of Computer Science, the University of Hong Kong and cwu@cs.hku.hk. Table of Links Abstract and 1 Introduction Abstract and 1 Introduction 2 Related Work 2 Related Work 3 Framework 3 Framework 4 Main Results 4 Main Results 5 A Case Study on Shortest-Path Distance 5 A Case Study on Shortest-Path Distance 6 Conclusion and Discussion, and References 6 Conclusion and Discussion, and References 7 Proof of Theorem 1 7 Proof of Theorem 1 8 Proof of Theorem 2 8 Proof of Theorem 2 9 Procedure for Solving Eq. (6) 9 Procedure for Solving Eq. (6) 10 Additional Experiments Details and Results 10 Additional Experiments Details and Results 11 Other Potential Applications 11 Other Potential Applications 11 Other Potential Applications In addition to the initial dataset labelling problem discussed above, there are other potential applications of the proposed framework in other GNNs learning paradigms. Some examples include: 1. Fair k-shot learning: K-shot learning is a type of machine learning where the model is trained to classify new examples based on a small number of labelled examples in the training set. This type of learning is particularly useful in many situations where the amount of labelled data is limited. In addition to the active learning discussed earlier, k-shot learning can also be applied in choosing a representative experience replay buffer in incremental learning and transfer learning. 1. Fair k-shot learning: 2. Fairness constraint : We can apply the derived results to ensure a fair predictive performance of GNNs for specified structural groups. As we have shown in the paper, the key factor of unfair predictive performance towards different structural groups is the distortion between structural distance and embedding distance. We can penalize the parameters with low distortion, which amounts to the following learning objective: 2. Fairness constraint The proposed framework has promising potential for studying and being applied to the above-mentioned problems. Further research into investigating the actual application results would be an interesting future work. This paper is available on arxiv under CC BY 4.0 DEED license. This paper is available on arxiv under CC BY 4.0 DEED license. available on arxiv

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