Generate Listings

Leading real estate marketing agency specialising in lead generation.

Head of Sales

Danny Mallinder

Strategist & content creator sharing insights to help founders w/ growth.

Content Creator

Mallinder Consulting

Business development consultancy, helping startup founders w/ growth.

Founder

beetu.be

Helping B2B businesses to build inbound client acquisition machines.

Contract Eagle

Implements best-practice setup for contract management processes

IIFYM.com

World leading membership website & SaaS platform for macro dieting.

Head of Business Growth

Salesprocess.io

Helping SaaS, online high-ticket service businesses & consulting firms.

Senior Growth Consultant

Brands Nova

Brand management, e-commerce and integrated marketing campaigns.

Founder, Director

Whanganui & Partners

Economic development unit for the business sector of Wanganui.

Member Of The Board Of Advisors

Whanganui Chamber of Commerce and Industry

Business support organisation for business owners in Wanganui.

Member Of The Management Board

Helping professionals launch another income stream in 2024. Click + Follow for posts and articles on business.

Most founders obsess over more calls booked.

But almost no one optimises what happens after the call is booked.

And that’s the most expensive gap in the entire sales process.

Last quarter:
87% show-up rate.
40%+ close rate.
$500,000 closed.

Not because of more ads.
Not because of better scripts.
Not because of more automation.

But because we rebuilt the 10 minutes between booking and the call.

Here is the truth:
Your close rate isn’t determined on the call.
It’s determined before the call.

So here’s what we used:
• a short “pre-call film”
• founder thesis
• case studies
• expectations
• decision-maker rules
• trackable engagement
• AI-assisted Q&A
• SDR → closer handoff script

Buyers show up informed, warmed up, aligned, and ready.

It’s the easiest win in founder-led sales.

And yet…
almost no one is doing it.

What part of your sales process has the most friction right now?

 (Asking because this one change fixed most of ours.)

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#founderled
#salesstrategy
#strategy

ftechsistemascontraincendio

gocreative

mallinderconsulting

brandsnova

JSESSIONID

li_at

LinkedIn App Challenge

Talks about #business, #psychology, and #entrepreneurship

VP Lesiuk Capital

R.I.P R.I.P posts

We have had enough

As soon as I read a "R.I.P" headline I know its going to be bs to get leads. 

The tactic’s losing credibility.

Agree? Comment yes below to get my amazing report on how to avoid R.I.P posts today.

#rippostsarelame

Off-market doesn’t mean offline.

It means intelligently online.

The most sophisticated deals today aren’t found through networks alone.

They’re engineered through data, insight, and digital origination systems.

Capital now connects through intelligence, bringing off-market demand to light with speed and discretion.

- data-driven origination
- Institutional-grade alignment
- digital transparency at scale

The future of private markets is digital.
 
The edge belongs to those who know where capital wants to go next.

#capitalorigination #infrastructure #privatemarkets

Most pivots burn capital.

But it’s not the product.

Most founders treat a pivot like an engineering problem.

New features. New funnels. New hires.

None of that solves the real issue.

The real failure point is narrative clarity.
 
If your market hypothesis is wrong, everything built on it collapses.
 
I just wrote a full thesis showing how founders can validate a new market in 30 days and avoid $150k in wasted engineering time.

Here’s the core:
 → Pivots fail from unclear coordinates
 → Sales letters set engineering constraints
 → VSLs validate demand faster than code
 → Alignment beats iteration every time

A founder who applied this jumped from 23% to 47% close rate and added $500k from one narrative shift.

If you want the full Founder Thesis doc, comment “Thesis” and I’ll send it.

#founders #gtmstrategy #startups

Just closed $500k using this.

87% show up, 40% + close rate

Do you use a pre-call video?

You should.

A simple pre-sale video that introduces you or your sales rep, covers the thesis, shows case studies. 

And it needs to be fully trackable so you know if they engaged and are ready.

Prospects watch it, they interact with AI, ask questions, and arrive to the sales call pre-sold ready to buy.

It is the easiest way to lift trust, qualify intent, and increase conversions.

So be honest.

Do you have a pre-call video in your sales process?

Let me know in the comments.

#founders
#salesstrategy
#gtm

$100B+ in Transactions | VP Origination Lesiuk Capital

The private markets are changing fast.

Alignment is the new advantage.

Institutional investors want speed and transparency.

Founders and operators want capital and credibility.

Between those two worlds lies the new frontier, where strategy and execution move in sync.

That’s where we operate.

Elite capital advisory today isn’t about access.

It’s about alignment, at speed and scale.

#privateequity #capitalmarkets #infrastructure #energytransition

Most founders think they need capital.

Most really need clarity first.

After many origination conversations, one pattern appears.

Founders jump straight to the number.

But investors do not invest in numbers. 
They invest in logic.

Good opportunities fall apart not because of economics,
but because the narrative is incomplete.

Here is what serious capital looks for before anything else:

- what the capital will achieve
- why the opportunity exists
- what evidence supports it
- how execution will unfold
- how the founder thinks
- why the timing matters

Capital moves toward clarity.
Clarity builds confidence.

If you are preparing a significant project in infrastructure, energy, or AI, make your story as strong as the opportunity itself.

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#infrastructure #energytransition #capitalorigination

Solix Technologies, Inc.

As Vice President at Solix Technologies, I lead strategic initiatives that drive the company’s mission to provide innovative data management solutions. With a focus on enabling enterprises to unlock the value of their data, I oversee a dynamic team that develops and implements cutting-edge solutions in areas such as data archiving, data governance, and compliance. 

A key area of focus is our Solix Enterprise AI product, which leverages advanced machine learning and AI-driven analytics to help organizations optimize their data workflows and improve operational efficiency. By enabling smarter, data-driven decisions, Enterprise AI empowers businesses to unlock deeper insights, streamline processes, and drive innovation. 

My role involves working closely with cross-functional teams to foster business growth, enhance customer satisfaction, and ensure operational excellence while positioning Solix as the leader in the data management industry.

VP of Sales

Solix Technologies is a leading provider of comprehensive data management solutions, empowering enterprises to efficiently manage, protect, and unlock the full value of their data. With a focus on innovation and scalability, Solix offers a suite of powerful products designed to address the evolving needs of modern organizations. 

Our Enterprise AI product harnesses the power of machine learning and advanced analytics to optimize data workflows, improve decision-making, and drive operational efficiency. The Enterprise Archiving solution helps businesses manage massive volumes of data while ensuring compliance, cost savings, and seamless retrieval. Additionally, our Data Lake product enables organizations to store, integrate, and analyze vast amounts of structured and unstructured data, supporting advanced analytics and AI-driven insights. 

Proven over two decades in the industry, Solix is a leader in Enterprise Data Management and AI, helping organizations transform their data into a strategic asset for growth and innovation.

Sr Enterprise Sales Director

SION

SION is a leader in the technology/software industry for international logistics. Our software demonstrates that the future of logistics is in business analytics technology. SION's state-of-the-art software is easy to use, flexible, and highly scalable, adapting to a supply chain’s changing management needs. With SION companies can stay in tune with technological advancements through its agile end-to-end digital thread.

Assisting clients to make better decisions with dynamic real-time analysis, leveraging the latest technology by in-house data scientists. SION is especially beneficial for multinational businesses with its real-time supply and demand monitoring, delivery tracking, and more. is integrated into every corner of your business and enables you to make better decisions, achieve end-to-end visibility, and deliver best-in-class customer experiences. SION provides unparalleled reporting visibility, giving SCM a full picture of its total business and logistics with SION.

Oracle

Oracle Cloud is the first public cloud built from the ground up to be a better cloud for every application. By rethinking core engineering and systems design for cloud computing, Oracle created innovations that accelerate migrations, deliver better reliability and performance for all applications, and offer the complete services customers need to build innovative cloud applications.

OCI’s Cloud Adoption Framework helps organizations facilitate their transition to the cloud by offering a valuable collection of cloud resources, best practices, tutorials, and enablement tools. This framework helps customers define a robust cloud strategy, plan for successful workload migration, and ensure complete manageability of cloud environments. The Cloud Adoption Framework provides customers with a methodology to use Oracle Cloud built-in efficiencies such as Cloud Lift Services, and key-value programs, including Oracle Support Rewards.

https://www.oracle.com/cloud/

Enterprise Sales Director | Oracle Cloud

PERSTRADA

Perstrada specializes in the invention and development of specialty nutraceutical and pharmaceutical products and novel formulation technologies.
We provide formulation, analytical, and manufacturing services to nutraceutical and pharmaceutical companies, working collaboratively to provide innovative solutions to challenging drug delivery problems and to create advanced medicines.
FORMULATION:
Perstrada’s expertise involves finding the most effective method of drug delivery for poorly water-soluble molecules.  Our comprehensive range of capabilities enables clients to optimize their drug product formulation prior to initiating expensive clinical development. 
LIFE-CYCLE MANAGEMENT AND 505(b)(2) PRODUCT DEVELOPMENT:
Perstrada is dedicated to the solubility and bioavailability enhancement of difficult-to-formulate compounds.  Our proprietary product development programs focus on creating novel specialty pharmaceutical products that are improved versions of existing medicines.  
MANUFACTURE OF cGMP CLINICAL TRIAL MATERIALS:
Following formulation selection and optimization, Perstrada can transition a development program quickly to cGMP manufacture of first-in-man clinical materials.  Perstrada’s manufacturing capabilities include dosage forms for oral, topical, or parenteral administration.

Rainmaker

As an Enterprise Sales Executive specializing in B2B, my primary role was to drive new business acquisition and revenue growth by identifying and engaging high-value enterprise prospects. A focus on understanding the specific challenges and goals of each client, working closely with them to craft customized software solutions that align with their business objectives. Building strong, consultative relationships with C-level executives, IT leaders, and key stakeholders, guiding them through the sales process with a clear focus on value proposition, ROI, and scalability. 

Leading the entire sales cycle, from prospecting and lead qualification to product demonstrations, negotiations, and closing multi-million-dollar deals. Balancing both strategic planning and tactical execution, my role was to consistently meet or surpass sales targets while delivering tailored solutions that drive long-term customer success and business transformation.

National Account Director

Bradford Technologies

For over 33 years, Bradford Technologies has been dedicated to producing innovative solutions for Valuation Professionals. Ranging from the most intuitive appraisal applications available to cutting-edge Computer-Aided Appraisal Software, Bradford continues to develop trailblazing products that set the benchmark for the industry.

Since 1987, Bradford Technologies has been dedicated to producing innovative solutions for Valuation Professionals. From the most intuitive appraisal applications available to cutting-edge Computer-Aided Appraising Software and statistically supported valuation reports, Bradford continues to develop trailblazing products that set the benchmark for the industry. As the market continues to evolve, Bradford Technologies is committed to providing appraisers, appraisal management companies and lenders with the tools they need to produce statistically accurate, reliable and transparent collateral valuations.

Bradford Technologies is one of the first companies to complete the EAD integration and the first to implement the new appraisal-sharing feature in UCDP. FHA has stated it will require appraisals to be submitted through EAD portal. PortalDirect allows its users to take advantage of the new appraisal-sharing functionality.

Sales Manager

A seasoned cloud data leader and entrepreneur with over 25 years of experience in enterprise strategy and business development. Developing partnerships to ensure organizations optimize their data management and leverage the power of AI, SaaS, database, and EDM solutions. A passion for innovation and transformation, and enjoy solving complex IT challenges with cutting-edge technology.

Founder and CEO of SION and PERSTRADA, two successful companies that offer cutting-edge software for international supply chain analytics and the pharmaceutical industry. Each business achieved growth from conception to 2X annually through strategic partnerships and industry-leading technology. Specializing in establishing long-term relationships with clients and partners across various verticals.

David Zuccolotto

𝐀𝐈 𝐢𝐧 𝐃𝐫𝐮𝐠 𝐃𝐢𝐬𝐜𝐨𝐯𝐞𝐫𝐲 𝐉𝐮𝐬𝐭 𝐇𝐢𝐭 𝐚 𝐍𝐞𝐰 𝐌𝐢𝐥𝐞𝐬𝐭𝐨𝐧𝐞

Here’s the kind of AI development that makes you think big. A major pharmaceutical firm (Merck) is teaming up with an AI-powered biotech (Valo) to look for new treatments in Parkinson’s, and the deal is worth more than three billion dollars.

What really stands out is how much this depends on strong information architecture. Models can only do so much on their own. They need clean, connected, well-organized data behind them — everything from patient records to biological samples to clinical measurements. Without that foundation, the AI can’t deliver the results everyone is hoping for.

This move shows how drug discovery is shifting toward AI-driven ecosystems. Pharma, data platforms, and large-scale datasets are coming together in ways we’ve never seen before. And the strength of the underlying data architecture is what makes it all possible.

If you want the full story, check out the link:
https://lnkd.in/gYV_3T2M

About our platform:
https://lnkd.in/gM-FhirA

Open article: Solix EAI Pharma by solix.com

I came across this interesting article: “AI cut development time of antibiotic that spares gut-friendly bacteria by two years” (Chemistry World, published 5 days ago). 
Chemistry World

What leaps out to me is how far we’ve come in applying AI not just to speed things up, but to target precision in drug development — in this case, an antibiotic that avoids collateral damage to beneficial gut microbes.

From an information architecture and data-management perspective, this rings very true:

These breakthroughs are underpinned by structured, high-quality data — mapping which bacteria are “friendly”, which are harmful, how they interact.

The AI models must integrate and reason over multiple layers of data (microbial profiles, drug-target interactions, patient safety) in a cohesive architecture.

To shrink timelines by two years, you need information pipelines that are agile, traceable and well governed — the kind of modern data-infrastructure we discuss often.

Key takeaways:

Innovating with AI in life sciences is now less about “can we” and more about “how fast and how reliably”.

The reliability of AI output depends heavily on the underlying data architecture (governance, lineage, metadata) — sloppy structure means risk.

As these methods mature, the organizations that have modern, scalable information architecture will be able to iterate faster and extract value from AI more safely.

Ethical/clinical implications matter: it’s not just about speed, but ensuring the drug spares beneficial bacteria, for example — which means richer datasets, clearer definitions of harm/benefit and stronger traceability of decisions.

In short: If you treat AI as a glitzy “tool”, you miss the point. The real differentiator is how you build the end-to-end information architecture that enables that AI tool to work with reliability, speed and integrity.

Here’s the article link:

Open article: AI cut development time of antibiotic that spares gut-friendly bacteria by two years by chemistryworld.com

AI cut development time of antibiotic that spares gut-friendly bacteria by two years

AI Ethics Start at Data Architecture—An Uncomfortable Truth

Let’s be blunt: If you’re not obsessively building ethics into your Information Architecture, you’re playing with fire. People love to talk about “ethical AI” as if you sprinkle some disclaimers on your website and build a half-hearted “AI Ethics Board.” But without data-level governance, all of that is performative. Our increasingly dystopian headlines (biased hiring tools, facial recognition gone haywire, AI content that spreads misinformation) stem directly from data neglect.

Why does IA matter for ethics? Because the darkest corners of biased AI, privacy breaches, and regulatory fines start here:

Hidden Bias Lives in Messy If your data architecture doesn’t enforce diversity and fairness constraints, your AI will perpetuate historical biases. Your “cool new hiring AI” might unintentionally reject candidates from underrepresented backgrounds because those groups were undercounted in your legacy HR systems.

Unchecked Privacy Violations: Without clear data lineage and classification, you risk feeding protected information (health records, personal IDs) into models that shouldn’t see them. One slip, and you’re staring down a class-action lawsuit—not to mention collapsed trust.

Opaque Decision-Making: If you can’t trace how data travels through your pipelines—what transformations it undergoes—your AI decisions become black boxes. Regulators demand accountability, and rightly so. If you can’t explain how your AI arrived at a loan decision or a healthcare recommendation, you’re toast.

Now for the provocative part: If you think ethics is something you tack on after the fact, you’re delusional. Ethical AI begins at a data level:

Tag and classify sensitive data at ingestion. If technical teams can’t distinguish PII from anonymized info, they’ll inadvertently misuse it.

Embed bias detection in your pipelines. Identify if certain demographic groups are underrepresented or misrepresented.

Ensure audit trails for every data transformation. If you can’t prove how data got scrubbed, or who approved a schema change, you can’t prove compliance.

💡 Ethical AI isn’t a flashy checkbox; it’s baked into your data architecture. If you’re not living and breathing data governance daily, you might think you’re “ethically motivated,” but you’re one misconfig away from becoming the next cautionary headline.

𝐓𝐡𝐞 𝐃𝐚𝐭𝐚 𝐋𝐚𝐲𝐞𝐫 𝐏𝐫𝐨𝐛𝐥𝐞𝐦 𝐍𝐨 𝐎𝐧𝐞 𝐖𝐚𝐧𝐭𝐬 𝐭𝐨 𝐓𝐚𝐥𝐤 𝐀𝐛𝐨𝐮𝐭

I just read an article titled “Getting the enterprise data layer unstuck for AI” — and it struck me how critical the underlying data architecture really is when organizations try to scale their AI. InfoWorld

The piece argues that recent waves of AI aren’t just another tool: they’re forcing enterprises to rewrite their data layer entirely. Gone are the days when siloed tables and legacy systems could reliably support modern AI. Instead, the demand is for meaning, trust, interoperability — a foundation that truly supports intelligent systems. InfoWorld

What stands out for me:

·        Data architecture can’t be an afterthought without a data layer built for context and connectivity; AI risks being brittle or misleading.
·        The shift is not just technical — it’s philosophical. It’s about moving from “store and forget” to “store, connect, understand.”
·        Investing in clean, well-governed, interoperable data infrastructure isn’t overhead. It’s the strategic enabler for AI that delivers real value.

This push toward smarter data architecture is exactly what separates AI experiments from true enterprise-scale AI transformations. For organizations exploring AI adoption, building a resilient, future-ready data foundation should be top of mind.

Link to article: https://lnkd.in/g5AYa_Xa
More info about IA for AI: https://lnkd.in/drBppbkM

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David Zuccolotto

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The Battle

Danny Mallinder

David Zuccolotto

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Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Danny Mallinder's LinkedIn Performance

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