Posts in Marketing (20 found)
daniel.haxx.se 1 weeks ago

6,000 curl stickers

I am heading to FOSDEM again at the end of January. I go there every year and I have learned that there is a really sticker-happy audience there. The last few times I have been there, I have given away several thousands of curl stickers. As I realized I did not actually have a few thousand stickers left, I had to restock. I consider stickers a fun and somewhat easy way to market the curl project. It helps us getting known and seen out there in the world. The stickers are paid for by curl donations . Thanks to all of you who have donated! This time I ordered the stickers from stickerapp.se . They have a rather fancy web UI editor and tools to make sure the stickers become exactly the way I want them. I believe the total order price was actually slightly cheaper than the previous provider I used. I ordered five classic curl sticker designs and I introduced a new one. Here is the full set: Six different curl stickers Die cut curl logo 7.5cm x 2.8cm – the classic “small” curl logo sticker. (bottom left in the photo) Die cut curl logo 10cm x 3.7cm – the slightly larger curl logo sticker. (top row in the photo) Rounded rectangle 7.5cm x 4.1cm – yes we curl , the curl symbol and my face (mid left in the photo) Oval 7.5cm x 4cm – with the curl logo (bottom right in the photo) Round 2.5cm x 2.5 cm – small curl symbol. (in the middle of the photo). My favorite. Perfect for the backside of a phone. Fits perfectly in the logo on the lid of a Frame Work laptop. Round 4cm x 4cm – curl symbol in a slightly larger round version. The new sticker variant in the set. (on the right side in the middle row in the photo) The quality and feel of the products are next to identical to previous sticker orders. They look great! I got 1,000 copies of each variant this time. The official curl logo, the curl symbol, the colors and everything related is freely available and anyone is welcome to print their own stickers at will: https://curl.se/logo/ I bring curl stickers to all events I go to. Ask me! There is no way to buy stickers from me or from the curl project. I encourage you to look me up and ask for one or a few. At FOSDEM I try to make sure the wolfSSL stand has plenty to hand out, since it is a fixed geographical point that might be easier to find than me.

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iDiallo 1 weeks ago

Is Blogging Dead?

When I started 2025, I set myself a simple challenge: write consistently and see if I could reclaim some of the audience this blog once had. In 2024, I had published just 4 posts and had only a handful of RSS subscribers. It felt like shouting into the void. By the end of 2025, I had published 177 articles and 24 "byte-sized" pieces, those shower thoughts I write and release without extensive research. The blog received 9,158,823 views from all sources, bots and humans alike. The spikes represent when an article goes viral. I've created a visualisation for when an article spiked in February . Five articles stood out this year: They were all prominently featured on hackernews and reddit. The leadership one appearing on Google Discovery, which I didn't know was a thing. Some of my "byte-sized" rants also made a lot of noise: Microsoft should take note. I initially published every other day at 7am UTC. It was consistent, but I noticed a pattern: people were sharing my links on Reddit and Hacker News around that time. right when traffic was lowest. My posts were getting buried. So I adjusted. I gradually shifted my publication time to 12pm UTC, giving my articles a better shot at visibility during peak hours. It's a small tactical change, but it made a difference. RSS doesn't give me precise reader counts, and that's intentional. I publish full articles in my feed, not snippets, because I want readers to own their reading experience. The growth here tells its own story. At the start of the year, I received 889 daily pings from around 56 RSS bots and 149 unique IP addresses. By year's end, that climbed to 4,711 daily pings from roughly 131 bots and 563 unique IPs. Many of these bots are self-hosted readers like Tiny Tiny RSS, living on personal devices and pinging sporadically. IP addresses change constantly, making it impossible to track individual users, which is exactly how it should be. The most popular reader among my audience is Feeder (appearing in my logs as "SpaceCowboys Android RSS reader"). It's open source , ad-free, and collects no user data. Feedly also showed up consistently, pinging from 3 unique IP addresses. I do want to point out that there is no consistent way of identifying an RSS reader. The user agents vary widely. You can read more about my attempt to classify all my RSS readers here . While my RSS readership grew steadily, my Google traffic nosedived. I've written before about AI Overviews eating through blog traffic, and I watched it happen in real time. Search impressions increased steadily with my publishing schedule, until September, when everything flattened. Then I discovered another problem: I had become a spam vector . Once I fixed that in October, traffic started recovering. I experimented with AI to improve my writing throughout the year, and I have mixed feelings worth a dedicated post. Here's the short version: AI is an impressive time-saver. You can accomplish a lot with it quickly. But the problem comes up when you realize everything written with AI assistance sounds the same. No matter how much you tweak the prompts, there's a sameness to the voice, a flatness that strips away individuality. It's not just your own writing, but that of every website. My conclusion: AI isn't a good tool if you're trying to develop a unique voice. It strips away individuality. And that unique voice is what you need to stand out today. If you want people to bypass an AI summary and actually read your blog, your voice has to be compelling and distinctly human. I did find some uses that boosted my productivity without robbing me of the creative process. More on that in a future post. Yet another podcast... I know. But my goal was simple: provide an easier way to consume my blog content and allow for more free-flowing discussion around subjects I care about. For now, it's just me rambling and finding my footing. I've recorded 70 episodes on Spotify and syndicated them to Apple Podcast and Amazon Music . Soon I'll make it available directly on the blog so you don't have to sign up for yet another service. Going from zero to one was already a milestone. I'm grateful to everyone who has subscribed, and especially to those who listen without subscribing. Your time means everything. The most important part of this entire journey has been the emails from casual readers. The internet is full of trolls, but every single email I received this year was both encouraging and filled with practical feedback. Many readers quoted my work on their own blogs, offering honest takes that pushed my thinking further. This is what makes it worthwhile, real conversations with real people. I hope we can keep this going. In 2025, I built the habit of showing up consistently and producing work I'm proud of. In 2026, my goal is to steer this ship toward something truly meaningful. If you've been part of this journey, thank you. And if you're just finding this blog now, welcome. Let's see where this goes together. I use Zip Bombs to Protect my Server (April 17th) Do not download the app, use the website (July 2nd) How to Lead in a Room Full of Experts (September 24th) Why Companies Don't Fix Bugs (April 7th) Users Only Care About 20% of Your Application (September 26th) No I don't want to turn on Windows Backup with One Drive (September 11th) I can't upgrade to Windows 11, now leave me alone (December 21st)

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Circus Scientist 2 weeks ago

Google is dead. Where do we go now?

It’s anecdotal, I know, but my main entertainment business revenue is down 50% over the past 3 months. Our main paid source of leads was Google Ads, which have served us well over the past 10 years or so – I think I know what I am doing in adwords by now. Once per month I check the analytics, updating keywords and tweaking ad campaigns. Over the past year we increased our budget, and then I started looking at it once per week, running simultaneous campaigns with different settings, just trying to get SOMETHING. Last month Google gave us a bonus – free money! This was 5x our monthly ad spend, to spend just when we needed it most – over the December holidays. I added another new campaign, updated the budgets for the existing ones. Still no change. The last week there was money to burn, left over from unused ad spend. I increased our budget to 10x. ZERO RETURN. The money ran out. I am not putting more in. Where do we go from here? Research shows that many young people are getting their information from short video platforms like TikTok and Instagram. We are trying ads on there. Our customer base is comprised of 50% returning customers (I am proud of that statistic!). We have an email newsletter, we started sending them regularly over the past 2 months. Remember us? We also plan to do some actual physical advertising – I am going to a market next weekend, doing a free show or two, handing out cards. Also, we are branching out – I have some projects I want to make, related to the Magic Poi project , and hopefully sell. We ordered supplies last week. Right now, though – I’m broke. Anyone need a website or IOT project built ? I am AI assisted , very fast! Update: this post went viral on Hacker News! I went with Instagram ads because we have the most followers on there and got 4 new bookings in 48 hours! The post Google is dead. Where do we go now? appeared first on Circus Scientist .

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Wreflection 3 weeks ago

Wrapped Envy Season

Every year, sometime in late November, tech CEOs and VPs of Product watch Spotify Wrapped go viral and send their product teams a request: “We should do this.” You can see the appeal. In 2025, Spotify said 200 million users (+19% year-over-year) shared Wrapped over 500 million times (+41% year-over-year) within 24 hours 1 . Naturally, the copycats follow. YouTube Recap, Strava Year in Sport, Duolingo Year in Review, Granola Crunched, Grammarly Writing Wrapped, Apple Music, Amazon Music, LinkedIn, Uber, Tiktok, Google Search, Twitch, Discord, Reddit, the list goes on. But why does Spotify’s version generate significant anticipation and engagement, while the others struggle to gain traction? For comparison, YouTube has nearly 4x the number of users (YouTube 2.7B 2 , Spotify 700M 3 ) yet Spotify Wrapped generated ~10x more interest. Product Or Campaign? Adam Fishman, who writes the newsletter FishmanAF, spoke with former Spotify’s Head of Growth Marketing Patrick Moran about what separates Spotify from the rest 4 . “To do well, this takes months to plan out because it is just as much work for product and engineering as it is for marketing.” “In reality the Wrapped campaign is really seen as a “product” at Spotify and gets way more resources, support, budget, etc. than a one-off campaign would.” If you want results like Spotify, you need to invest in it like Spotify does. Treating your year-end recap as a holiday marketing campaign will not produce the same outcome. Adam’s piece includes five questions product leaders and CEOs should evaluate before committing to a year-recap feature. Building on those, I recommend three overarching questions. What do you hope to accomplish with this feature is probably the most important question. The goal could be brand awareness, or customer acquisition and retention. It could be feature discovery to remind users about underutilized capabilities like Spotify’s playlists or podcasts. Or you might want to reinforce the value or ROI your product generates, as Cursor does by showing users how many lines of code they generated. Sometimes, the goal could simply be fun and vibes, which creates goodwill in harder-to-measure ways. Each goal leads to different design choices and strategies. For example, NYT Games makes their year-end recap accessible to free users, but shows ads since the high engagement makes the impressions valuable. Others like Strava locks theirs behind the subscription paywall as a customer acquisition play. Some products generate data users genuinely want to reflect on. Good candidates include music listening, fitness achievements, learning streaks. These activities showcase effort, taste, and identity. Bad candidates include job applications submitted, fast food orders, or hours spent scrolling. These activities carry shame or anxiety. Dating apps would not want to remind users of how many failed matches they accumulated or food delivery apps would not want to remind users they ordered from McDonald’s 300 times last year. In fact, Saturday Night Live lampooned exactly this dynamic in a hilarious sketch . Products serving multiple user types must also segment their recaps. Spotify wisely gives artists different data than listeners while it seems like LinkedIn’s 2025 Year-In-Review did not differentiate between creators, recruiters, and regular users. Spotify’s Wrapped succeeds in part because it creates social capital. Being in the “top 1% of Swifties” gives users something to brag about and bond over belonging to the tribe. Compare that to LinkedIn’s Year in Review, which tells you that you used “Applicant Insights” frequently. As one user in Lenny Rachitsky’s Slack community 5 put it: “ I actually have no idea what the applicant insights feature is that apparently I used or the connection between views and searches and premium. ” Just because a feature name is well known inside your company does not mean it has similar recognition in customers’ minds. If users don’t even understand it, they won’t get any social validation from broadcasting it. LinkedIn Year In Review 2025 Unintended Consequences Some products have more surface area for pitfalls than others. Personalized data that works for some users can become problematic for others. For example, a fitness app highlighting workout streaks works great until a user goes through a difficult period, such as illness, depression, or major life changes, and the data reminds them of a decline they would prefer to forget. A year-end recap that highlights low usage creates the same problem, effectively calling out customers for not exercising enough. Some pitfalls cannot be predicted in advance. When they surface, teams need to monitor social channels and respond quickly. As , a former Facebook executive, noted 6 : For products with high risk of surfacing unwelcome personal data, pivoting to aggregate information provides a safer alternative. Google , Netflix and TikTok year-end recaps lean toward showing users what was popular across the platform rather than potentially embarrassing personal statistics. Does year-recap make sense for B2B or work-related products? Generally, no. Most people would not want to know they spent 4,000 hours in Jira, especially if it reminds them they did so because Jira’s errors forced endless troubleshooting. Yet Granola, an AI meetings tool, received notably positive reception for its “ Crunched ” year-end feature despite being work-related. In the same Lenny’s Slack community discussion from earlier, users reacted to Granola’s ‘Crunched’ feature positively, a stark contrast to their reaction to LinkedIn’s recap. “ Just in the Lenny community we have so many people talking positively about Granola. In a crowded AI meetings tools market, that’s massive. ” versus “ The LinkedIn one was awful. Graphics were bad, wasn’t fun, wasn’t useful. ” The difference may be that Granola focused on entertaining AI-generated summaries with simple/minimal raw statistics. Some products that seem like natural fits for a year-end recap feature are yet to ship one. Kindle and Goodreads are the most obvious candidates to me. Amazon owns both properties and has rich data about reading habits. Yet users have had to resort to creating their own year-end Kindle and Goodreads recaps because the official product does not exist. This seems like a missed opportunity because reading, like music listening, reflects identity and taste. LinkedIn’s daily games have built an engaged audience, but the 2025 LinkedIn Year-In-Review omitted gaming statistics entirely. For players, like me, who solve Queens and Tango daily, games data would have provided more shareable content because competitive streaks and leaderboards already drive engagement 7 . The year-in-review format has a long history. News Publications pioneered it with their annual “ Year In Review ” issues, recapping the stories and events that shaped the previous twelve months. In tech, it was actually Facebook, not Spotify, which launched the first personalized Year in Review in 2014 . Spotify followed two years later. Facebook eventually killed its feature after bad press over traumatic memories 8 . Spotify, on the other hand, went from strength to strength. After moving from email recaps to in-app experiences and rebranding as Wrapped in 2019 9 , the feature became a cultural phenomenon. Spotify now owns the word “Wrapped” and sets the standard in the consumer mind. The association is so strong that users describe every recap as “Wrapped” regardless of which company ships it or what the company names their feature. Every competitor pays a copycat tax unless they do something genuinely different. 2026, in my view, will likely be the year we will see truly spectacular AI-native wrapped experiences. Granola showed how AI can be used to generate witty summaries of users’ meeting patterns. In the next evolution, one could imagine your favorite artist calling you by name, or previewing a personalized song they’ve created just for you with your name worked into the lyrics. Memory from AI products could draw magical insights about you that other apps likely cannot. Your Year With ChatGPT is an early glimpse of this. These would be orthogonal to what Spotify does. For the others, late November will continue to bring the same annual ritual. Somewhere, a tech CEO or VP of Product will watch Spotify Wrapped go viral yet again and send their product teams a request. “We should do this.” If you enjoyed this post, please consider sharing it on your socials or with someone who might also find it interesting. You can follow me on Twitter/X or LinkedIn for more frequent business and tech discussions. Thanks for reading Wreflection! Subscribe for free to receive new posts and support my work. Strava: Year in Sport 2025 personalized (and aggregate ). Source Granola.ai: Crunched 2025 Google Photos: 2025 Recap Google: Year in Search 2025 ChatGPT: Your Year With ChatGPT Duolingo: 2025 Year in Review Uber: YOUBER 2025 Cursor: Your Year in Code NYT: Year in Games Amazon Music: 2025 Delivered Apple Music: Replay 2025 (separate review for Artists ) LinkedIn: Year in Review 2025 Discord: Checkpoint 2025 1 Spotify Wrapped Press Release , 2025. YouTube at 20 , Forbes, 2025. And YouTube Official Blog , 2025. Spotify Q3 Earnings Report , 2025. No you shouldn’t do a Spotify Wrapped campaign , Adam Fishman, 2022. The ROI of Wrapped , Lenny’s Community Wisdom 165, 2025. Deb Liu , Threads, 2025. “ More than a year after launching LinkedIn Games, engagement remains strong: 86% of people who play return the next day, and 82% are still playing a week later, ” LinkedIn’s press release , 2025. Facebook Apologizes for Pain Caused by ‘Year in Review’ Posts , Time Magazine, 2014. In 2020, former Spotify intern Jewel Ham claimed to have developed the Spotify Wrapped stories format during her internship. Spotify has repeatedly denied this claim citing internal reviews.

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Manuel Moreale 1 months ago

Double opt-in PSA

As of today, I run three different newsletters, all powered by Buttondown: there’s my recently announced Dealgorithmed , my outdoors-focused From the Summit , and the People and Blogs series. I also send my blog posts via email , if you prefer to consume content that way. They all require double opt-in. Which means that if you signed up for one of them, you should have received a second email, asking you to click a link to confirm your subscription. Sometimes those land in the spam folder, sometimes they don’t arrive at all. That’s just the unfortunate reality of emails in 2025. I just checked, and a solid 10% of the people who have signed up for Dealgorithmed have not confirmed their address. This is a reminder to check your inbox and click the confirmation link otherwise, you will not receive the first edition when it goes out on January 1st. Thank you for keeping RSS alive. You're awesome. Email me :: Sign my guestbook :: Support for 1$/month :: See my generous supporters :: Subscribe to People and Blogs

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Alex White's Blog 1 months ago

RE: Fake Online Reviews

Niq with Q writes about fake online reviews and how the practice of bribing people for reviews has destroyed the trust factor on review platforms. Read their excellent post here: https://niqwithq.com/ . In a previous role I worked as a product designer for a now exctinct/acquired digital marketting company. Nothing destroyed my trust in online review platforms like that job. Everything was about pumping up review numbers, content stuffing websites and flooding the internet with targetted ads. Nothing was genuine, and it all served to erode the trust you usually place in small, local businesses. After that role, I now specifically look for contractors that have 0 online precense. If they have a website and tons of reviews, they are probably spending a ton on marketting (trust me, that stuff isn't cheap), which means they pass those costs onto the customer. Even worse if they drive branded company vehicles, that's a sure way to know they are charging 2-3 times more than the actual small guys. This lends itself to one of the most stressful parts of being a homeowner, finding honest/affordable/reliable contractors. It's near impossible to find somebody that'll lift a finger for under $1,000 USD. Thankfully we now have a network of contractors we trust, all from word of mouth. Not a single one of them has a website or Google reviews.

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Stratechery 1 months ago

An Interview with Eric Seufert About Advertising and AI

An interview with Eric Seufert about the right advertising model for AI, the right AI for Meta, and why personalized advertising is good for society.

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Manuel Moreale 2 months ago

A newsletter-related PSA

Quick PSA for those of you out there who are interested in subscribing to either my From the Summit 2.0 , the newsletter version of People and Blogs , or simply prefer to get these blog posts delivered via email : all those newsletters require double opt-in. What that means is that once you have signed up, you should get a second email asking you to click a link to confirm your email address. Sometimes those emails land in the spam folder for reasons unknown to me. Maybe I don’t pray the SMTP gods with enough conviction, who knows. What I do know is that I see a lot of people signing up and then not confirming their addresses. So, if you did sign up but did not receive the confirmation email, ping me either via email or Apple Messages, using [email protected], and I’ll look into that. Thank you for keeping RSS alive. You're awesome. Email me :: Sign my guestbook :: Support for 1$/month :: See my generous supporters :: Subscribe to People and Blogs

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Herman's blog 3 months ago

PIRACYKILLS

Most people who read my blog and know me for the development of Bear Blog are surprised to learn that I have another software project in the art and design space. It's called JustSketchMe and is a 3D modelling tool for artists to conceptualise their artwork before putting pencil to paper. It's a very niche tool (and requires some serious explanation to some non-illustrators involving a wooden mannequin and me doing some dramatic poses), however when provided as a freemium tool to the global population of artists, it's quite well used. Similar to Bear, I make it free to everyone, with the development being funded through a "pro" tier. Conversely, since it is a standalone app it has a bit of a weakness, which is what this post is about. I noticed, back in 2021, that when Googling "justsketchme" the top 3 autocompletes were "justsketchme crack", "justsketchme pro cracked", and "justsketchme apk". On writing this post, I checked that this still holds true, and it's fairly similar 4 years later. The meaning of this is obvious. A lot of people are trying to pirate JustSketchMe. However, instead of feeling frustrated (okay, I did feel a bit frustrated at first) I had a bright idea to turn this apparent negative into a positive. I created two pages with the following titles and the appropriate subtitles to get indexed as a pirate-able version of JustSketchMe: These pages rank as the first result on Google for the relevant search terms. Then on the page itself I tongue-in-cheek call out the potential pirate. I then acknowledge that we're in financially trying times and give them a discount code. And you know what? That discount code is the most used discount code on JustSketchMe! By far! No YouTube sponsor, nor Black Friday special even comes close. In some ways this is taking advantage of a good search term. In others it's showing empathy and adding delight, creating a positive incentive to purchase to someone who otherwise wouldn't have. The discount code is PIRACYKILLS . I'll leave it active for a while. 👮🏻‍♂️ JustSketchMe Crack Full 2021 22.0.1.73 JustSketchMe APK Mirror FULL 2.2.2021

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ryansouthgate.com 3 months ago

Goodbye Disqus - Your injected ads are horrible

IntroThis will be a short and sweet post. I’m not big on goodbyes. Disqus started showing ads for their “free” tier comments system a few years back. At the time, the communication they sent out via email, seemed quite laid-back and had the tone of “don’t worry about it, it’s not a big thing”. Which in part lead me to almost forget it happened. At the time, the disqus comments system looked quite smart and sleek.

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Robert Greiner 3 months ago

The Age of Citation

Watch someone use ChatGPT to research. They type, wait, skim, and act. No scrolling endless search results. Just a verdict, a decision, and a click. That behavior is why Answer Engine Optimization (AEO) exists - the craft of showing up in the synthesis, not ranked on a page. Google trained us to climb to number one on a page of blue links. Now the “page” is a paragraph stitched from everywhere. The engine isn’t choosing a winner; it’s cross-checking a chorus. In that world, the most-mentioned brand beats the top-ranked page. Visibility shifts from a trophy on one site to a probability across many surfaces. You can see the new values whenever an answer engine shows its cards. Perplexity, by design, cites multiple sources and synthesizes across the web. OpenAI’s SearchGPT puts sources inside answers, optimizing for corroboration instead of a lone authority . If you appear in five distinct citations across different websites, videos, and docs, you get pulled into the story. We miss this because the old game felt clean. One Search Engine Result Page (SERP). One keyword. One winner. But the retrieval stack changed. These models are pattern matchers with trust issues. They don’t want a single page screaming authority; they want independent witnesses who agree. “Most-mentioned” isn’t about volume for its own sake. It’s breadth of corroboration. Mention velocity over rank. This is why a two-paragraph Reddit comment can move more revenue than a 10,000-word pillar page with great SEO. Not because brevity is magic, but because Reddit is where the conversation is happening - and the engines are wired to listen. Reddit inked data deals to feed real-time content into assistants, including a partnership with OpenAI . The model prioritizes living dialogue. A short, honest answer in a thread about “Which espresso machine under $500 can I use without waking up my family in the morning?” can reverberate across the internet, showing up in AI-powered search windows as a trusted recommendation. That’s not supposed to beat domain authority. Yet it does. Here’s the uncomfortable part: this shift collapses the moat incumbents thought they had. A brand-new startup mentioned by actual users in a few credible places can show up in answers next week. The old gatekeeper - investing in years of link building - lost leverage when the interface began preferring fresh corroboration. I’ve watched unknown names slip into AI summaries overnight because they were present where models cross-check: a YouTube explainer, a help page that reads like a real fix, a handful of community threads. The bar moved from “accumulate PageRank” to “earn believable mentions.” That’s a different company muscle. It also flips where the highest-ROI content lives. Ask an LLM a long, messy question and listen to it breathe: “How do I connect Product X to Workflow Y under constraint Z for a team with policy Q?” That’s not a keyword... it’s a paragraph. Your help center is a gold mine because it answers the exact multi-clause questions assistants get. People arrive with intent; assistants surface pages that look like fixes, not funnels. There’s a trap here, and teams are already falling into it. If synthesis is the currency, why not flood the web with AI-generated pages and force your way into the chorus? Because the models are learning to ignore their own echoes. Train on synthetic output long enough and you get model collapse: the system drifts toward its own errors and forgets rare, true signals . Platforms don’t want that. Retrieval pipelines are getting more sensitive to provenance, originality, and human fingerprints. The AI mirror maze looks productive until you notice most of what you’re producing never gets cited - and worse, it makes the real you harder to trust. None of this means SEO is dead. It’s upstream of the answer now. Your site feeds the synthesizer, not the other way around. Your best work will be cited, paraphrased, and delivered without a click. That’s scary if your model is “capture the session.” It’s liberating if your model is “win the decision.” If the assistant makes the choice and you’re in the synthesis, you win. The internet spent two decades teaching us to chase rank. The next decade rewards citation share. The playbook is simpler than it sounds: be the most-cited truth about the problem you exist to solve. Earn mentions that look like reality. Put your expertise where the model listens. Avoid the mirror maze. In answer-first interfaces, the spotlight doesn’t land on a single podium. It sweeps the room until the story feels true. Be in that story, or be invisible.

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Gabriel Weinberg 3 months ago

On reddit, roughly 500 views = 1 click

A couple weeks ago I wrote a post titled AI survelliance should be banned while there is still time . Someone submitted it to Hacker News where it got over 600 upvotes , so I decided to submit it myself to reddit (on /r/technology) where it got over 1,100 upvotes . Because I submitted it, I was able to get “Post Insights” (pictured above, left) that indicated the post got 175,000 views. Similarly, substack reports “Traffic sources” (pictured above, right) and shows 310 views came from reddit. This roughly 1:500 ratio is consistent with others I’ve gathered across several different posts and subreddits, so I don’t think it is particularly anomalous. Reddit views count impressions (when posts appear in feeds), making this ratio also comparable to other platforms. The bottom line is lots of views on social doesn’t equate to lots of clicks, and certainly not lots of email subscribers, which experiences another 1:100 type of ratio, that is, clicks to email subscribers. My takeaways: Social ≠ list growth. Social posts don't build email lists: social post views to new email subscribers is likely less than 50,000 to 1 (500 x 100). Optimize the headline. If you do chase social views, nail the headline since that's where 99% of the value lives given almost nobody clicks through. For example, you could expose your brand name or logo, or just raise awareness for a crisp point or concept you can fit in a headline. 0.2% is common for ads; I expected higher for a top organic post on a popular subreddit, but this data suggests otherwise. Of course, your mileage may vary, but I thought it would nevertheless be helpful to put out a real data point I found interesting. Thanks for reading! Subscribe for free to receive new posts or get the audio version . A couple weeks ago I wrote a post titled AI survelliance should be banned while there is still time . Someone submitted it to Hacker News where it got over 600 upvotes , so I decided to submit it myself to reddit (on /r/technology) where it got over 1,100 upvotes . Because I submitted it, I was able to get “Post Insights” (pictured above, left) that indicated the post got 175,000 views. Similarly, substack reports “Traffic sources” (pictured above, right) and shows 310 views came from reddit. This roughly 1:500 ratio is consistent with others I’ve gathered across several different posts and subreddits, so I don’t think it is particularly anomalous. Reddit views count impressions (when posts appear in feeds), making this ratio also comparable to other platforms. The bottom line is lots of views on social doesn’t equate to lots of clicks, and certainly not lots of email subscribers, which experiences another 1:100 type of ratio, that is, clicks to email subscribers. My takeaways: Social ≠ list growth. Social posts don't build email lists: social post views to new email subscribers is likely less than 50,000 to 1 (500 x 100). Optimize the headline. If you do chase social views, nail the headline since that's where 99% of the value lives given almost nobody clicks through. For example, you could expose your brand name or logo, or just raise awareness for a crisp point or concept you can fit in a headline.

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Robert Greiner 3 months ago

Win the Default, Win the Decade

The most expensive real estate in the world isn’t oceanfront - it’s the default button. Google reportedly paid Apple $18–$20 billion to be the default search on Safari - not the best search, the one that shows up without a thought. That price isn’t about features. It’s about gravity: the path everything takes when no one is pushing. This matters because most teams still try to win by arguing, branding, or persuading. Meanwhile, the winners are quietly grading the slope so the flow moves their way. Control the slope and you don’t have to shout; you just have to be there when the decision makes itself. We’ve seen this before. A tiny policy tweak that changes nothing but the starting point can change everything about the outcome. Automatic enrollment boosts 401(k) participation by entire workforces - not by inspiring them with retirement sermons, but by making saving the path of least resistance. When countries switch organ donation to opt-out instead of opt-in, consent rates leap to above 90%. When Apple turned off third-party tracking by default, ad platforms didn’t adjust their pitches; they bled. Different domains, same pattern: defaults quietly bend behavior. We keep treating the world like a debate club. It’s closer to a river. Rivers don’t negotiate with rocks; they follow the smallest gradient and start carving. The Grand Canyon didn’t appear because the Colorado River was persuasive. Water followed the easiest route, and the route compounded itself: flow deepened the channel, a deeper channel increased speed, and speed accelerated erosion. The flow creates the canyon that then dictates the flow. Products, policies, and markets work the same way. The riverbed is the default. The flow is human behavior. Every click you remove, every field you pre-fill, every setting you make the starting point is a millimeter off the riverbank - but across years, it’s a canyon. Here’s the important nuance: the riverbed doesn’t need to be perfect; it only needs to be preferred. Users are satisficers. They don’t climb hills for tiny gains; they follow the slope that’s already downhill. A merely OK experience on a well-graded slope beats a great experience you have to hike to. This is why the AI wars won’t be won by the smartest model. They’ll be won by whoever becomes the default layer between you and everything else - and can actually deliver. Microsoft Copilot looks like it should have already won. It’s embedded in Office, connected to your SharePoint, reading your emails, summarizing your Teams meetings. It’s the perfect default—pre-installed, pre-integrated, pre-authorized. The riverbed couldn’t be better graded. But defaults only work if the water actually flows. Copilot shows how even unmatched distribution can backfire if the product misses the minimum bar of usefulness. If every summary misses the point, if every SharePoint search returns nonsense, if the AI can’t actually help with the work… people will climb out of the canyon. They’ll copy-paste into ChatGPT. They’ll try Claude. They’ll find their own rivers. That’s the paradox: the default position is priceless, but only if it’s good enough to keep people in the channel. Google Search wasn’t perfect; it was just good enough that climbing out felt pointless. Copilot risks teaching millions of enterprise users the opposite lesson: that the default can be worse than nothing. Microsoft owns the most valuable real estate in enterprise AI: every Office toolbar, every Teams window—but they’re fumbling the handoff. The channel is perfect, but the water won’t flow. Which means the throne is still empty. The next trillion-dollar company won’t just become the AI default - they’ll be the first one good enough to keep it. The riverbed is ready. We’re just waiting for water worth flowing.

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A Smart Bear 4 months ago

Your target market isn't demographic

How to define your actual target market, which probably isn't traditional demographics and firmographics.

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Jason Fried 4 months ago

Marketing is...

At its best, marketing is a transfer of enthusiasm. When you're truly pumped about what you're doing, when you're truly driven by the vision, when you absolutely must make something that you need and want, your enthusiasm leaves a mark. It's a brand. Not the noun, but the verb. At its worst, marketing is a transfer of everything else

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James O'Claire 4 months ago

August 2025: Top Mobile App Advertisers

AppGoblin is excited to share the latest ad network rankings for August 2025 , based on our ongoing scans of live mobile app ads. AppGoblin SDK scans already make it clear which apps are monetizing with which ad networks, or which companies provide the technology behind a given app. But the most important question was missing: which apps are actually buying ads? With the release of AppGoblin’s in-app advertiser tracking, you can now browse August 2025’s top mobile app advertisers and their creatives . This allows for mobile marketers to see real advertising activity from competitors, measure market momentum, and understand where budgets are being spent. It’s also useful for B2B companies looking to identify active app advertisers they may want to approach. Let’s start with Water Sort , a hyper-casual puzzle game that I myself recognize from seeing Water Sort ads constantly. On Water Sort’s AppGoblin ad creatives page . you can view the full gallery of creatives currently being run. These include both video and static variations, and you can track how they evolve from month to month. From there, head to Water Sort’s ad placements to see which apps were publishing Water Sort’s creatives and on which mobile ad networks. For some programmatic ad buys we can also see the buy side DSP that was used. For example, we can see that Appreciate.mobi (a DSP owned by Digital Turbine ) is a major buy side channel for Water Sort. This means Water Sort is buying inventory through Appreciate, which in turn places ads into the monetizing games connected to the exchange. By clicking into a specific placement, you can trace which publishing app was showing the Water Sort ad, and which intermediary companies (exchanges, SSPs, or other ad tech vendors) were involved in the transaction. This type of visibility is key for understanding both competition and the ad tech supply chain. Other than TikTok, Plarium’s Throne: Kingdom at War , a midcore strategy game that has been active in the market for years but still spends aggressively to acquire new players. On Throne’s AppGoblin ad placements page you can see the current campaigns in action and the creatives being used. In August, Throne ads were observed across dozens of publishing apps mostly using Google Ads (on the publishing side that would be AdMob) , the ads here are mostly served via doubleclick.net which is common. This new layer of insight—connecting advertisers to placements—lets us go beyond simply knowing which SDKs apps use. For traditional SDK-based integrations, the story is straightforward: publishers monetize directly through the SDK. But in the programmatic ecosystem, things are more complex. Daisy-chained connections between SSPs, exchanges, and DSPs mean that an ad for Water Sort or Throne might pass through multiple intermediaries before it reaches the end-user’s screen. By mapping this supply path, AppGoblin allows marketers to better understand where budget is flowing, and how networks interact with one another in practice. Finally, the ad creative library provides a quick way to compare formats. You can browse still image ads, video ads, and even see how creative strategies differ between hyper-casual titles like Water Sort and midcore strategy games like Throne: Kingdom at War. Over time, this archive will highlight broader creative trends—such as the dominance of puzzle-to-win ads, cinematic battle simulations, or the rise of interactive playable ads. For now, thumbnails of captured creatives are available to browse, with expanded metadata coming soon.

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Nicky Reinert 5 months ago

The Thin Line Between Scam and Ambitious Entrepreneurship

German Version I’m not a fan of mobile games Not because I don’t like playing, but because a questionable business model has developed around mobile games, making it very difficult to find the true gems. It seems like it’s more about selling ad space or generating in-app purchases with simple game …

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Chris Coyier 6 months ago

screencasting.com

I saw that screencasting.com launched recently. It’s training courses all about building high-quality screencasts. Seemed like a great idea to me with the perfect domain name. There is so much video lately in today’s media and plenty of it involves editing together camera footage, stock clips, screen recordings, etc. The learning curve on doing all this well is decently high, so seems like a good target market. I bought the course on Screencasting with Screenflow as I use Screenflow a decent amount and have for many years but never got any proper training on it. It makes me nervous it hasn’t been touched in years . I’d like to see an update just to know someone’s hands are on the wheel. Then I saw that the makers considered the launch of screencasting.com an utter failure . In that podcast episode, Ian Landsman and Aaron Francis talk about it and speculate on what to do about it. I think it’s a little surprising to call something like this a failure so soon. Perhaps with courses if you don’t get a huge initial bump, it’s known that the chances of it ever doing well are slim? I know indie games kinda work that way. Me, I’d just long-haul the thing. Pluck away at marketing it, finding new customers. Let it just earn what it earns while making it better and building the next thing.

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Nick Khami 6 months ago

What 7,112 Hacker News users listened to on my side project

I was burnt out from my startup and wanted to recover some of my creative energy, so I decided to build a fun side project called Jukebox . I had the idea of building a collaborative playlist app where you could queue music together with friends and family. I launched it on Hacker News, where it hit frontpage and got a lot of traction. In total, it had 7112 visitors who played 2877 songs . Hacker News users are known for their eclectic tastes, so I was curious to see what kind of music they listened to. I did some data analysis on the usage patterns and music genres, and I wanted to share my findings. Part of the fun of side projects is that you can use them as an opportunity to build your skills. Personally, one of the core skills I want to improve is marketing. Therefore, it was important to me that I actually drove traffic to the app and got people to use it. I'm happy to report that I was able to do that! Here's a full breakdown of the user engagement: <UserEngagementSankey /> The data is reliable because each visitor to the site is assigned an anonymous user account. This allows for accurate tracking of how many unique users visited, how many created a "box" (playlist), and how many engaged with the main features. Conversion rate into the primary "Create Box" CTA was awesome! However, I was sorely dissapointed to see that only 6.7% of people who created a box actually used the app to queue music together, which was the main reason why I built it in the first place. I'd call it a pyhrrhic victory. My product sense was a few rings off the bullseye, but still on the target. I'm not going to continue working on Jukebox, but it certainly fulfilled its core purpose of helping me recover my creative energy and learn some new skills. I was originally planning to talk more about how Jukebox was built, but I think the more interesting part is the data analysis of what music Hacker News users listened to. Spotify is generous with their API, so I was able to hydrate the songs data with genres by using their data. Hacker News users actually disappointed me with their music tastes. I expected them to be more eclectic, but classic rock and rock were 2 times more popular than any other genre. New wave, metal, and rap followed as the next most played genres, but there was a steep drop-off after the top three. The long tail of genres included everything from country and EDM to post-hardcore and progressive rock, but these were much less represented. One thing that surprised me was how country music edged out electronic genres in popularity. I expected a tech-focused audience to gravitate more towards electronic or EDM, but country had a stronger showing among the top genres. It’s a reminder that musical preferences can defy stereotypes, even in communities you’d expect to lean a certain way. <SongsExplorer /> When it comes to artists, the results were a mix of the expected and the surprising. Michael Jackson topped the list as the most played artist—proving that the King of Pop’s appeal truly spans generations and communities, even among techies. Queen and Key Glock followed closely, showing that both classic rock and modern hip-hop have their place in the hearts (and playlists) of Hacker News users. I was surprised to see a strong showing from artists like Taylor Swift and Depeche Mode, as well as a healthy mix of rap, electronic, and indie acts. The diversity drops off after the top few, but there’s still a wide spread: from Daft Punk to Nirvana, Dua Lipa to ABBA, and even some more niche names like Wolf Parade and Day Wave. Overall, while classic rock and pop dominate, there’s a clear undercurrent of variety—perhaps reflecting the broad interests of the Hacker News crowd, even if their musical tastes lean a bit more mainstream than I expected. <ArtistAnalysis /> Dens Sumesh, a former intern at my company, originally had the idea for Jukebox and told me about it at dinner one day. I thought it was a great and had potential, so I decided to build it. AI codegen has made me drastically more willing to build things on a whim. Typically I would have probably quit after finishing the backend, because React slop is not my favorite thing to work on. However, since the AI is good enough at React to do most of that work for me, I was mentally able to push through and finish the project. Another side benefit of building this was that I got a better handle on when AI is an efficient tool versus when it’s better to rely on my own skills. For example, highlighting a component and prompting is a great use of AI. However, more complex asks like are more efficiently handled by a human with intuition and experience. Framing things out manually, or even prompting the frame, consistently seemed to be a more efficient strategy than trying to get the AI to one-shot entire features. Both approaches can work, but breaking things down helps you maintain control and clarity over the process. If you rely too much on one-shot prompts, you can end up in a cycle where your eyes glaze over and you're pressing the "regenerate" button like it's a Vegas slot machine. This slot machining makes launching less likely because you spend more time hoping for a perfect result rather than iterating and moving forward. It's easy to get stuck chasing the ideal output instead of shipping something real and learning from feedback. Build stuff, share it, get feedback, and learn. Shots on goal lead to more opportunities for improvement and innovation. Even though Jukebox is now going into maintenance mode, it was everything I hoped it would be: a fun side project that people actually used. If you want the raw data, you can find it on the GitHub repository . If you want to see the source code for Jukebox, that's on Github at skeptrunedev/jukebox .

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