Tor Blomdell (@blomdell) header
Tor Blomdell (@blomdell) profile picture

Passionate Tech-Geek, on my spare time hobby-chef, working with Products, Strategy and Corporate Finance

Stockholm, Sweden
Joined June 2010
Photo by Tor Blomdell (@blomdell)Photo by Tor Blomdell (@blomdell)Photo by Tor Blomdell (@blomdell)Photo by Tor Blomdell (@blomdell)Photo by Tor Blomdell (@blomdell)Photo by Tor Blomdell (@blomdell)Photo by Tor Blomdell (@blomdell)Photo by Tor Blomdell (@blomdell)Photo by Tor Blomdell (@blomdell)Photo by Tor Blomdell (@blomdell)
Second order effects from plugging AI directly into your data warehouse: Snowflake and Databricks get more valuable, not less. The warehouse is now the brain. You need it clean, fast, and well-structured dbt, cube and semantic layers becomes critical infrastructure. The semantic layer is now the interface between your data and your AI. Whoever defines what metrics mean, owns the analysis Data quality goes from nice-to-have to existential. The AI analyst gives you confident wrong answers if your data is a mess. Speed amplifies garbage The data analyst role hollows out in the middle. Junior SQL-on-request people are exposed. Senior data engineers who build the infrastructure become significantly more valuable Citizen analyst finally becomes real. Your ops manager, finance lead, city manager, all querying without filing a ticket. The data team stops being a bottleneck BI tools survive for standardized dashboards and recurring reports. For pointed, deep analysis they are increasingly irrelevant Access control gets harder. Natural language queries can surface data people shouldn't see. Row-level security at the warehouse level just became non-negotiable The companies that spent years cleaning their data just got a moat they didn't know they were building. What am I missing? – at Stockholm, Sweden
Data analytics just changed and most BI tools should be worried We spent years at Voi getting our structured data in order. Snowflake as warehouse, Steep for visualization, semantic layer defining what metrics actually mean Then we plugged MCPs directly into the warehouse and semantic layer Now I can query anything I should have access to in natural language from Claude (or other similar tool) We built a company plugin in Cowork so everyone can do it. Not just me, not just data people, but everyone We added our tone of voice and brand guidelines. Output format is whatever you want. The code gets written for you And here's where it gets wild: layer in external sources through scraping and computer use. You now have an all-seeing AI analyst sitting next to you Real example I ran: "Compare ride distance vs ride duration for Berlin, June 2025 vs Y-o-Y. Add weather impact analysis. Suggest visual format." It just... did it, in 15 min Half the value prop of traditional BI tools just evaporated. What am I missing?
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This is the most inspiring thing I’ve read in AI in the last two years: storage.googleapis.com/deepm… What a beautiful future ahead, just happy to take part in it.
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Voice is the natural medium for conversations and the medium that there is available for all to resolve the most complex interactions
🚨 New @a16z thesis - an update on AI voice agents! 2024 was a huge year for voice agents, with massive model breakthroughs + hundreds of new startups. How has the space evolved, and where do we see opportunity in 2025? Our update + market maps for B2B and B2C 👇
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This piece on Group Product Managers from 1998 might be the best thing I've read in years: Group Product Manager is the most important non-executive position in a software company. In fact, it is more important and has higher impact on the company than many executive posts. A failed product can sink the company. A successful product can literally redefine the course of the business. Nobody is more responsible or more accountable for a product than the Group Product Manager. As a result, the job is characterized by massive success, massive failure, and little in between. Most GPMs are either promoted or end up leaving the company or being assigned to less hazardous duty within a short period of time. Everyone wants to be a Good Group Product Manager, but relatively few succeed. Good GPM: Knows the Good PM / Bad PM principles cold and constantly strives to execute them Dead GPM: Forgets about the basics Good GPM: Owns the overall product strategy and success Dead GPM: Overdelegates, doesn't think broadly enough, or fails to deliver Good GPM: Asks questions, listens and learns -- about everything -- necessary to meet their responsibilities Dead GPM: Ignores important areas, assumes the best, fails to ask tough questions Good GPM: Asks questions, listens and learns -- about everything -- necessary to meet their responsibilities Dead GPM: Ignores important areas, assumes the best, fails to ask tough questions Good GPM: PMs and the GPMs have a CLEAR understanding of what they need to do to excel Dead GPM: Subordinates and GPMs have murky or different understandings of what is needed to excel Good PM: Creates exciting jobs with clear opportunities for visible success and failure Dead PM: Creates mushy jobs that aren't visible Good GPM: You set and maintain the strategy, executives provide input and leverage Dead GPM: Rely on direction from executives Good GPM: Knows when and how to get organizational buyoff on product strategy and marketing plans Dead GPM: Inadequate knowledge and skill navigating the organization It's amazing how little the GPM role has changed in 25 years. Ben Horowitz (the Z in A16Z) knows his stuff.
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“Not delegating enough is bad for me and bad for people who could be getting more autonomy and learning more skills.” — Dustin Moskovitz (@moskov) Listen to my interview with co-founder and CEO of @asana, Dustin Moskovitz: tim.blog/2023/08/10/dustin-m…
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Can we please take a moment to appreciate Slack? It's magical. But even a magically easy-to-use product like Slack has so many elements! It really busts the myth the great information architecture is simple. The software we tend to interact with these days, even in B2C, is not simple. But it is designed for usability. While the Slack page has lots of things, we can basically break it up onto three major categories of elements: 1. The big central part: the conversation and message editor 2. The left bar: channels and workspaces 3. The top bar: search, help & profiles That’s the magic of great information architecture (IA): it wonderfully sections up the page and giving focus to what’s important. It’s doesn't just present an empty screen. This overall information architecture is something that Slack borrowed from IRC. But it's the little details that Slack really nails. For instance: 1. There’s plenty of blank space in the top right: This gives the entire page a feeling of “breathing room.” 2. Slack also minimizes elements intuitive elements, like the help and profile in the top right: They're not words, just little icons. These details make the page much more spacious and allow you to focus on your core job to be done. It's brilliant. It's interesting that Slack also has kept constant from its initial IRC-inspired design. Over time, Slack has added things like: • Workspaces • The away message • And other little complexities they tucked in over time. These definitely impose an additional burden on the user. But Slack can get away with it, because everyone is familiar with Slack. And that's what I want to end on: Once your core product is widely used (Slack has >100M DAU), then you can slowly complexify it. Slack has done that brilliantly.
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We’re basically done.
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"Big ambitions, low expectations, and high standards are a powerful combination for living your best life." A Tiny Thought in this week's @farnamstreet newsletter fs.blog/brain-food/june-11-2…
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There are two things CPO/CTOs are brought into do, on the product side 1. Product -> Platform 2. Product -> Multi Product 1 makes 2 easier, but successful companies often find themselves working backwards
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The LNO System [0] was career-changing & life-changing for me as a senior IC PM. The Radical Delegation Framework was career-changing & life-changing for me as a PM leader. Career-changing because they enabled greater effectiveness & outcomes. Life-changing because they enabled better work-life harmony. [0] I learned the ideas behind it a while ago via Elizabeth Grace Saunders’ INO Technique & then I modified it to fit product work.
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Yup, that happened 👑👀
We had a very special visit at our stand at the Mobile World Congress 🌍 His Majesty Felipe VI, King of Spain, enjoyed the Home for Sports in the Metaverse🥽 What are you waiting for? Come and try it at our stand in the Journey to the Future pavilion (Stand 6A12).
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It took me some time to learn that as a manager: Shielding your people from complexity, uncertainty and ambiguity is never a long lasting successful strategy to create clarity. Only actively engaging in problems and helping resolve them is effective.
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Great collection of data points, points on gatekeepers, and some traditional business logics on the bundling and debundling strategies @benedictevans ben-evans.com/presentations
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Great collection of product nuggets
Great Product Strategy Is Hard To Create. When I'm stuck, this is where I go for inspiration on product strategy:
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Great Product Strategy Is Hard To Create. When I'm stuck, this is where I go for inspiration on product strategy:
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Wow! I tried this tool from Adobe. It's NUTZ 😳 The audio I recorded with my airprods sounds like studio mic. That's crazy..
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Truly enjoy these end of year letters, summarizing all the good that happens in a quite dark time gatesnotes.com/About-Bill-Ga…
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Otroligt. Att 2022 se den här typen av old school utveckling. 🤔
På samma sätt som Twitter klarar sig ”bra” utan 75% av sin personal så funderade jag på vad som skulle hända om Stockholms stad drog bort allt underhåll och personal från Skolplattformen. Läs nedan en tråd om vad som faktiskt pågår varje månad i Skolplattformen🧵
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Matt Mochary has been CEO coach to @naval, the founders of OpenAI, Notion, Rippling, Robinhood, Coinbase, Reddit, Plaid, Flexport, Opendoor, partners at Sequoia, YC, Benchmark, and many others. He also open-sourced his entire curriculum, templates and all. Here's a link 👇
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