Dev
HackrLife - Growth Marketing and AI
HackrLife is a Podcast on the practical application of AI and PLG in growth and product marketing. I am @ Growth marketer for Google's AI product suite and have a decade of growth experience across Google, Linkedin, Adobe,SAP and IBM.In every episode, I share practical AI use cases, the latest in AI research along with no-code automation workflows and growth tactics which I am building in the open in my spare time. Real demos, real tear-downs of AI theory versus practical use case. Perfect for marketers, founders, and creators who want actionable takeaways on AI over hype.
Where to listen?
Podcasts in the app Replaio Radio Coming soonPodcasts are coming to the app soon. Install now and be the first to see a whole new take on podcasts
Episodes
The Inadequacy of LLM Benchmarks 15.08.2025 8:03
In this episode of HackrLife , you’ll discover why the way we measure AI performance might be misleading . A recent study that examined 23 major Large Language Model (LLM) benchmarks has found that small changes in formatting, prompt style, and test conditions can swing results dramatically. T he episode reveals how this fragility challenges the accuracy of leaderboard claims and why “top scores”...
Multimodality agents using No Code tools 13.08.2025 6:39
In this episode of HackrlIfe I take as a critical look at Samsung's research on building "multimodal AI agents" using no-code platforms like Flowise. While the paper sounds impressive with terms like "multimodal LLM-based Multi-Agent Systems," I dug into what these tools actually do versus the marketing hype. What I Found It Really Is: API orchestration tools that connect e...
Do LLM's really think? 12.08.2025 7:12
Those "reasoning" AI models everyone's raving about? Apple's research suggests they're not actually thinking—they're just really good at pattern matching. In my latest HackrLife episode, I break down why this is EXACTLY why AI can help you think better, but cannot really think on your behalf. Key insights:✅ Why reasoning models fail completely past a certain complexity✅...
How to use AI to create automated eBooks 11.08.2025 6:10
Auto-Generate PDFs Using AI + Canva API Generate Lead Magnets in less than 5 minutes Tired of spending hours creating lead magnets? In this episode, I will showsyou how to build an automated "Lead Magnet Factory" that combines any LLM (Google Gemini, ChatGPT, or Claude) with Canva's API to generate professional PDFs instantly. What You'll Learn: How to set up Google Gemini, GPT-4...
AI-Powered SQL Generation . Is this truly your Growth Multiplier? 10.08.2025 8:17
HackrLife: How AI is Replacing SQL - The Good, Bad & What I Learned 🚀 Breakthrough research: DAIL-SQL achieves 86.6% accuracy on Spider benchmark, setting new records for AI converting English into database queries. But how does this perform on real-world data? I took this research and tested it myself on actual football data from FBref - analyzing Barcelona players with standardized datasets...
How AI is Democratising Customer Retention 09.08.2025 7:15
Customer churn is killing your growth, but what if you could predict it weeks before it happens—without writing a single line of code? In this episode of HackrLife, we dive into the AI revolution that's turning customer retention from reactive guesswork into proactive, personalised science. 🎯 The 5% Rule : Why a tiny retention boost can increase profits by up to 95% (and how AI makes it achie...
No-Code Tools, AI Agents, and Automation for Lean Teams 09.08.2025 6:07
Your team is about to get superpowers. In this pod on the go, discover how the smartest teams are using AI agents and no-code tools to move at 10x speed without burning out or hiring more people. This isn't about replacing your team – it's about amplifying their genius. What You'll Learn: 🚀 The "Velocity Triangle" that's helping lean teams do more in less time ⚡ Why Mak...
What do you ask an LLM to create? 11.01.2024 15:31
Large Language Model’s don’t really have a database to query on. They analyse petabytes of data on a range of topics (as part of “training”) , and measure the distance between clusters of words or pixels that are most likely to appear together. They then match the pattern to a given natural language prompt, and generate a remixed output in the form of text or image. It is generally a learnt synthe...
The Stonecutter's Cred 04.01.2024 6:51
A single man can break a stone single-handedly. But how can his credo help our self discovery and development ? We often overemphasise on effort, without equally emphasising on the environment in which this effort can be successful. The fact however, is that the environment we live in, continuously and gradually shapes us, just like the repeated strikes of a stonecutter eventually weaken the rock...
DeFi Protocols to look out for and (maybe invest) in 2024? 02.01.2024 10:04
From the time of its inception, the best real world use case of Blockchain technology has been in the realm of decentralised finance or DeFi . But for years it failed to gain traction due to three key things Non inclination of financial institutions and governments towards tokenisation of real world assets Very high annual percentage yields which made it seem like a game of blackjack than an actu...
Occam's Razor 01.01.2024 9:42
The origins of Occam's Razor are in theology. It was named after the medieval philosopher and theologian William of Ockham, who simplified its inference into a basic concept stating that when faced with competing explanations for a phenomenon, the simplest one is more likely to be correct. This principle when applied across disciplines can be an invaluable tool for individuals, businesses, an...
Can LLMs simulate human reasoning? 29.12.2023 7:19
LLMs, such as GPT-4, have emerged as transformative milestones in AI development. They are pre-trained on vast amounts of text data, allowing them to generate human-like text and provide solutions to various tasks, including language translation, text generation, and even coding assistance. However, the believability of LLMs raises ethical concerns. Their ability to produce coherent and contextual...
What is sharding in the realm of blockchain technology? 07.10.2023 10:17
Sharding, a database partitioning technique, has been heralded as a solution to blockchain scalability issues. By dividing a blockchain into smaller, parallel segments or "shards", it promises increased transaction throughput. It is is a pivotal innovation in the realm of Web 3.0 and DeFi, offering a tangible solution to the pressing scalability challenges faced by current blockchain net...
What exactly is the role of transformers in LLM models like ChatGPT? 07.10.2023 10:24
In the fast-evolving realm of artificial intelligence, few innovations have captured the imagination of researchers and entrepreneurs alike like LLMs akin to Chat GPT and what they can do. At its essence, GPT ( Generative Pre Trained Transformer ) is a type of machine-learning model designed to understand and generate human-like text. The "Generative" in its name hints at its ability...
Yield farming in the world of DeFi 05.10.2023 11:17
Yield farming, often likened to staking, is a method where users provide or "lock up" their assets in a DeFi protocol to receive rewards. These rewards can be a result of interest from borrowers, fees generated by the platform, or even new tokens minted as incentives. The allure of yield farming is the potential for high returns, especially when compared to traditional financial instrume...
How can conversational search led by LLMs be monetised ? 03.10.2023 12:16
Conversational search refers to the ability of search engines to understand and respond to user queries in a natural, dialogue-like manner, rather than relying solely on traditional keyword-based searches. LLMs, with their advanced capabilities in understanding and generating human-like text, will play a pivotal role in enhancing conversational search and while there is no doubt that LLMs are here...
What are neural networks and how do they work? 01.10.2023 7:28
At its core, a neural network is a system of algorithms that attempts to recognise underlying relationships in a set of data through a process that mimics the way the human brain operates. Neural networks are inspired by our brain's structure. Just as we have neurons, these networks have artificial neurons or "nodes". They consist of layers. The input layer (where data enters), one o...
How does Midjourney create images in real time? Understanding diffusion models 01.10.2023 9:04
How does Midjourney create images in real time? Understanding diffusion models While Midjourney’s model is proprietary and not documented as open source, it probably integrates diffusion models with language models to create images in real time. The language model interprets the textual description, extracting key features and themes. This interpreted information then guides the diffusion process,...
What are vector databases and how do they help AI tools like Chat GPT respond in real time? 30.09.2023 5:20
Vector databases are specialized storage systems designed to handle high-dimensional vectors, enabling efficient similarity searches. Unlike traditional databases that rely on exact matches or keyword-based searches, vector databases excel in finding "approximate" matches based on the closeness of vectors in a high-dimensional space. This capability is particularly beneficial for Large L...
8 key metrics to measure growth 22.07.2021 11:29
If you are working in software and driving product or growth, then your life is pretty much a combination of metrics, measurement and excel sheets in between zoom calls. I have often wondered with all this data and the obsession around it, how much do we actually use to make actionable decisions? Which ones actually matter? After many years of intellectual pontificatory, I think I have a sim...
State of Venture Capital - 10 Macro Trends 20.07.2021 18:10
While in Q2 of 2021, there were just 23 companies which got valued as Unicorns, by Q2 of 2022, that number had grown to 136 companies. A YoY increase of 491 %. So what drove this growth? Why did $100 million rounds triple year on year even at Series A? Why did 1/5th of entire global funding pour into Fintech? Fund out some macro trends , some numbers and some thoughts.
The dystopia in tech - can we turn attention to intention? 18.07.2021 10:10
The internet has connected all of us and while it has created tons of new opportunities and made life easier, it has also created a dystopian present where cancel culture, lack of privacy, fear of missing out, trolling and misinformation are as much part of the internet firmament, as is our ability to get grocery delivered within the hour. Can we balance our dystopian present by controlling our te...
What are the triggers of scale to build a consumer startup 17.07.2021 13:09
One thing that is absolutely critical about consumer apps, is that they require phenomenal scale and growth in a very small amount of time. Scale that cannot be bought by marketing, PR and paid media alone. Scale that cannot be managed by distribution alone. This scale can only be created if consumers feel an inherent organic reason to want to use the product and keep using it many times in a day....
Hidden metrics for email optimisation 23.02.2019 6:20
While ESPs focus on the specific email delivered to your inbox, MSPs focus on your entire mailbox behaviour to determine where they would filter and place emails within your inbox (spam/ trash/ promotions etc) So what are these metrics? Well according to a study conducted by Demand Metric and Return Path, there are six key email metrics that mailbox service providers track to create better filteri...
How do you use location data to build a better customer journey 22.02.2019 9:28
For a long time marketers and advertisers believed that the real value of location data lay in targeting a specific individual in real time, but now it’s becoming secondary to finding insights into audiences, consumer journeys and offline shopping behavior. The increased role of AI in ad buying makes this trend an ever more important used case.
Similar podcasts
Replaio is not a podcast publisher; show names, artwork and audio belong to their authors and are distributed through public RSS feeds.