Two days left in the quarter and I officially have more ideas than I have time.
The four moments that hit hardest when building something new; getting lost in the idea maze, waking up to a fresh Figma file, adding Stripe subscription capabilities, and your first paying customer you don’t know.
Has the term builder been washed out? Yeah, probably.
Reminder to self. Everything and everyone has seasons.
First up, a personal dev project. Claude + Notion + deep research.
Second, a hugggge Boom update that includes new domain, migration, backend refactoring, headless, a bunch of agentic stuff. This version is so hilariously ambitious, but pushing the agents hard. More on Boom in a second, but Claude thinks it’s 16 weeks of dev work in 3-4 days. Sure, Jan! We’ll see. Going to fire up Conductor and let it rip!
The third thing is more of a frustration or short rant. Planning for AI execution is hard. The fitness analogy lands for me: if I have a six-month goal to run a half-marathon at a specific pace, there’s research, sequencing, machine + human collabs, maybe external data sources. It’s not linear. Yesterday I was deep in some of this and it kept refactoring existing text plans and chunking things wrong. Blah blah blah.
I want a new type of space between Notion and Claude. This whole third space or fourth space thing has been overused.
The way it currently feels for me: Claude feels AI generative. Notion feels human generative. Where is somewhere in the middle, man?
I want something that leans human. A private collaborative workspace where you set the goals and accountability benchmarks (real humans versus agents) and remain the author, the main person holding the pen on your adventure. Sure AI is there and you can dial up and down as much as your heart desires but it’s mostly in the background. This works in single, multi-player, or even multi-agent mode. Whatever this category thing is the space I’m exploring with Boom! A human first headless accountability and intention layer.
Perceptions are top of mind lately. My general rule: revisit marketing perceptions every quarter. Keep questioning and double guessing myself… Everything is moving so fast? Maybe every six weeks? Maybe every six months. arg.
The trend I keep seeing, with other founders and myself, is a spike in micro AI builds. The reps matter, we need to compound learnings and not get left behind. Just make sure there’s overlap. Tie it into your marketing perceptions, quarterly goals, values, your North Star mission.
If you’re stuck on the “what to build” question, that’s probably where to start.
Stripe is incredibly well positioned to compete directly with Shopify. It sounds incredibly unfocused, but I can map the dots.
Profile, identity, and trust. A consumer-side marketplace that knows buying behaviours, returns, and chargebacks. The ability to build incredible look-alike audiences. An inventory manager, think TradeGecko, sitting inside a payment processor. I’m imagining an agentic marketplace. Containers + inventory.
For merchants, if you’re already paying for ads, why wouldn’t you just run them through Stripe directly? Unsure what value Shopify provides in that world.
Slight embarrassment to share: sitting in a cafe in West Vancouver, and there’s 3 other people doing the exact same thing I am right now. Leaning in, looking up in deep contemplation, talking into their screens, chatting directly to the command line. It’s weird.
Thursday afternoon my concierge flagged a package. Looked at it and thought, pretty sure I didn’t order anything. I opened it anyway. Caroline, Emmett, and the LP crew had sent Unreasonable Hospitality by Will Guidara. Thanks! Halfway through. So far, the takeaway = it’s not about the execution, but how you make people feel in the execution.
Vancouver skyline is showing off today. Heading over to Kits for a founder meeting, then a remote coffee work session, before hitting an art store.
Founder friends, just came across a 500k grant for countries in the Eureka network. Covers Europe, South America, and Singapore. Shared it in a few Slack communities already but worth putting here too.
Remember web 2.0 social or pixel avatars from 10 years back? Claude may kickstart agentic 8bit avatars and more. New blog post - https://kenny.is/claude-pixel-avatar-maker/
Testing out a new gallery for daily log. A few photos from this afternoon.
At least three times this afternoon I caught myself giggling at BOOM or if anyone actually cares about a headless shareable room builder in this AI era, especially one named Boom. And is it boom, Boom, or BOOM?
My new rules for picking side quest domains? No more than 10 minutes and 10 dollars.
Successfully recorded my first Boom video, 5 minutes, a little bit salesy, and all on my 2nd take. When creating anything, we are our own worst judge. The inner critic can rage. Ironically there’s that clip going around Twitter that screams the complete opposite. The ultra successful have zero introspection. Well, good for them I suppose.
The good news about whatever side quest you’re building → this is the worst it’ll ever be.
Last night I shipped a rough version of Boom! It deserves a blog post of sorts, and sitting as a subdomain for the time being. There’s another tab open trying to find a Boom TLD. Been working through bugs and polish all morning!
The last 20% always takes the longest. The last 5% even more so.
The good thing with AI is shocking degree to which a task (whether you are an engineer, designer, or PM) can be brought to 80%. The bottleneck then becomes people who can tell the difference between the 80% and 100%.
Working until 6pm, then sending the newsletter. Finally.
Oh ya, and struggling with export settings with design assets, colours feeling washed out. Think I finally resolved it. Sharing this as more of a live dogfood test.
Still convinced agents are going to be incredibly useful for development and brainstorming, but they don’t understand nuance for visuals, feels, or vibes. If you ask an LLM what “washed out” means, it will spit out directionally correct text, but won’t be able to translate that into actionable outputs. The same as asking your neighbor or spouse, they’ll feel an image, potentially agree with you, but won’t have an actionable way of making something less or more washed out. Any attempt will be futile.
Which brings me to the point I keep coming back to: strategy (accountability), marketing, product marketing especially, and brand designers are not getting replaced by AI anytime soon. I already see a massive demand for designers who have real product marketing chops, and that’s only going to grow. The taste and feeling.. that bringing to life magical process has to come from within. A human!
This afternoon I’m chatting with two teams who want to start experimenting with AI. Earlier this morning I got some time to play with a few different models, running due diligence on designer portfolios and design assets. Interesting exercise. Basically how or why I wrote the blurb above.
After a super rainy and snowy week, the sun is out and it’s marvelous… shining bright like a diamond. House bombs are on in the background and summer is coming, baby. Trumpets and all
Now: back to the newsletter that has to ship in the next few hours
Every team seems to be debating total token spend and how to measure AI success, especially as huge chunks of code get written and released to production. Some of these booby traps aren’t found out or catastrophic until days, weeks, or months later. For example, the recent Amazon outage caused by AI code wiped out an estimated 6.3M orders and somewhere between $250M and $380M in revenue. And the 13 hour AWS outage that followed cost between $500M and $1B!
Contrary to popular belief, uptime would be the number one metric teams should focus on, followed by deployments that push successful business metrics, followed by experimentation and AI learning. We’ve somehow missed this step in the equation and prioritized speed at all costs.
My caveat to that is if early in the pre-seed, then of course move fast and break things, but if you’re an established company with substantial users, it may be time to revisit your KPIs.
Paper.design is the new design baddie. A few friends think that Figma will acquire them, although it feels rather early. Product is tons of fun, and the website has several easter eggs. Screenshot below.
With three weeks left in the quarter, transitioning away from experimentation into execution mode. This website design, my personal website is giving me the ick. Trying to resist the temptation to nerf everything and just use plain text files for everything, something that humans and browsers can view, but most importantly agents.
Predicting coffee shops and community spaces are going to be a huge 3rd space moving forward.
Two camps:
No-screen/phone cafes - a refuge from AI and tech
Builder cafes - fast internet, real community, upskill camps, micro events worth showing up for (WeWork 2.0)
AI is going to have far more people working hansolo. We need community. The builder cafe doesn’t really exist yet.
Local govs and tourism boards should be funding these. Genuine economic dev hiding in plain sight. The second most obv funding choice is Claude & OpenAI. Maybe subsidized cafes.. enter the UBC (Universal Basic Cafe)!
And 100p writing this from Perfecto Cafe, where the wifi internet can’t keep up with Claude’s agentic demands.
Something I’m trying: spend at least 20 minutes looking at nice visual work across the web instead of tinkering with new AI design tools. 75% ingesting visuals that look and feel good, 25% actually designing with new AI tools.
Attaching a photo as a reminder to try new things.
What else? It’s Taco Tuesday, duh. My meat is cooking in the background while writing this, and drafting a newsletter.
Raincouver is going off and I’ve carved out a few days to get my to-do list checked off. Let’s gooo
This morning I built attempted to build a mini tool that scrapes various web pages, reports back fonts, takes screenshots, and produces those results into a single page. Something I was expecting to crank out within 30-45 minutes turned into a 2.5 hour adventure where I eventually trashed the project.
Two minor frustrations:
HTML files produced by app kept crashing Claude. Regardless of working in Cowork, Command Prompt, or the web based version it would time out and run out of context. It’s very peculiar bc the HTML page rendered properly within Safari and Chrome but Claude just wasn’t having any part of it.
Hallucination. It flat out lied, ignored instructions, told me it scraped fresh content when it leveraged previous data.
These are all part of the learning process, right? AI build reps!
My social media feed is full of cherry blossom photos from Tokyo, Kyoto, and Osaka. Either that, or my friends and extended network in Singapore are going off about the local government’s new AI initiative.. specifically, the free premium OpenAI account for every resident over 25 who completes a few AI workshops. People are completely outraged lah
The Ship 10 Challenge I started about three weeks ago came to a close. I fell off last week, but I’m restarting it right now! Let’s goo
Today: shipping one new mini product, emailing my network to use said new product, writing a quick newsletter, draft new blog post, showcasing recent strategy and design work for a client, and laying the first few pages in my Moleskine on how to build Agentic Soul.
A few weeks back I couldn’t stop myself from building every new microservice. This week, it’s reviving all my old startup sunsets. New rule: wait at least two weeks before digging up startups from the grave.
Saw this photo of Tokyo. Sharing because it’s cool, and japan has been on my mind recently…