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Best analytics tool?
What analytics tool are you using for your venture? Google Analytics, Vercel, anything else? How can we best track user movement to improve on our projects? Thoughts?
How My Clothes-Obsessed Ex Accidentally Showed Me the Secret to Product Validation
Earlier this year, I quit my job to build a SaaS. My first idea flopped. Why? Because I didn’t truly validate the market or figure out how I’d stand out against competitors. And when I say validate, I mean I barely scratched the surface. One afternoon, I glanced up from my laptop and asked my girlfriend at the time, “Scrolling TikTok again?” But she wasn’t. She was hunting for the perfect brown jacket. Over the following weeks, I got curious about her process. Here’s how she shopped: - She defined exactly what she wanted (Brown Long Jacket, quality fabric, specific look). - She scoured the web and saved options to wish lists. - She’d use those wish lists to get notified when items went on sale—sometimes that even prioritized which jacket she bought first. - She compared them over weeks—sometimes months. - And only then, she made her purchase. At one point she told me: “I only want to buy one brown jacket for life, so it needs to be pretty much perfect.” That was her standard—one jacket for life. A high bar, maybe unrealistic, but it fueled her obsessive search online and in-store. That’s when it really dawned on me: she had spent more time researching a single jacket than I had spent validating my entire SaaS idea. I’d already sunk around $25k into it, while she wouldn’t have spent more than $1,000 on the jacket. The contrast was sobering—she put weeks into a single decision, and I had thrown money and time at mine in a rush. Her approach wasn’t complicated. It was just careful, consistent, and intentional. She explored with curiosity until she was confident in her decision. Meanwhile, I had rushed headfirst into building—without even a fraction of that effort. The lesson? If you want to validate a product, act like you’re buying your one jacket for life. Set high standards, dig deep, track signals (like wish list alerts), compare the options, and only commit when you’re sure you’ve found the right fit.
How My Clothes-Obsessed Ex Accidentally Showed Me the Secret to Product Validation
News unbiaser chrome extension
I don’t know if this is normal but I’ve got about 5 SaaS MVPs sitting in my GitHub that I’ve never bothered launching because I talked myself out of it before I did it (mental health is a crafty minx.) Anyway, I tried ground news once and hated it because it’s all American news and I’m not in the USA. So I wrote a chrome extension that uses AI to remove the bias from any article you read. I’m sick of reading the left or right wing version of the news so this tool just rewrites the page as boring, unsensational prose. Currently I just run it on my computer and then connect the extension via localhost but I was wondering if I should splash the $50 a month in hosting and api fees and launch this thing with advertising/kofi donation for funding. I guess it’s just that I already have one product that’s costing me to host, if I launch this one that’s basically free, and relies on ads or kindness to fund, would people actually use it? Also, if you think of something I could do differently, say it.
News unbiaser chrome extension
Anyone else building a B2B product?
I am curious is the product you are building B2B or B2C? I am asking because it feel that most of the startup advise I read online is for B2C products. My product is B2B and I feel that most of what I read doesn’t apply. For example, I see people saying put up a landing page where folks can sign up before you start building to gage interest. That won’t work for my product. The sales process is going to be high touch and decision makers are not going to do anything until they can see it working. My validation instead comes from working in the industry and having decision makers flat out say they need a product that does this, or that other products that do similar things are too expensive. So I have been able to validate but it is a high touch process based on my existing relationships.
How to export NotebookLM to PDF
🚀 Turn ANY NotebookLM podcast into a text-selectable PDF in ONE click – 100% free Chrome extension TL;DR: I got tired of not being able to share my NotebookLM “podcast” notes with teammates who don’t want to listen to 15-minute audio. So I built a tiny Chrome extension that adds a “Download PDF” button straight inside NotebookLM. Zero sign-up, zero paywall, Chrome Web Store: NotebookLM to PDF Landing page: notebooklm-to-pdf.com What it does 1. Open any NotebookLM notebook. 2. Click the new “📄 Export PDF” button that appears in the top bar. 3. Instantly get a text-selectable, clean, printable PDF with: No copy-paste, no screenshots, no half-baked HTML printouts.Highlight, search, and copy text straight from the PDF. Why I built it I love NotebookLM’s AI summaries, but my uni’s assignment submission portal only accepts PDFs. Screen-shotting 30 pages of study guide = pain. Looked for an existing tool – nothing good. So I spent a weekend building this and figured other people might want it too. Privacy stuff (because that matters) - Everything happens locally in your browser – no data is sent to my server. - No Google OAuth, no analytics pixels, no creepy trackers. How to install (30-second process) 1. Go to the Chrome Web Store link above → “Add to Chrome”. 2. Pin the extension icon so you remember it exists. 3. Reload any NotebookLM tab – the PDF button magically appears.
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How to export NotebookLM to PDF
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