Stuart Logan
4.6K posts
Stuart Logan
@stuartlogan
CEO of @JoinTwine, connecting companies to expert creative/tech freelancers. We also help companies build AI/ML training datasets. 2x founder. @9others host.
UK Katılım Mart 2010
560 Takip Edilen1.6K Takipçiler
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SpaceX@SpaceX
SpaceXAI and @cursor_ai are now working closely together to create the world’s best coding and knowledge work AI. The combination of Cursor’s leading product and distribution to expert software engineers with SpaceX’s million H100 equivalent Colossus training supercomputer will allow us to build the world’s most useful models. Cursor has also given SpaceX the right to acquire Cursor later this year for $60 billion or pay $10 billion for our work together.
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ok ill bite, what the fuck is bending spoons and should I be scared?
Federico Simionato@fedesimio
We've officially agreed to acquire Eventbrite for $500M! 😍 … and you thought we were done for the year!
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Chat is no more sacred than my eyeballs or ears which get shoved full of ads daily
Google, written content and socials (particularly TikTok/IG) made ads very opaque. As part of the tech world, we're all far more attuned to what an ad is. Most people don't care.
If the ad is semi-useful by being interesting/entertaining, it will thrive. Medium doesn't matter at all.
signüll@signulll
at some point you’re gonna see a slow drip pr push from the non ad ai companies trying to warm people up to ads in chat. the conditioning cycle has already begun in some ways. the interesting part is that ads have never actually worked in a chat interface. like, name a single
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@collin_ruth89 “there's no such thing as bad publicity” come to mind. Unless you’re that couple from that Coldplay concert
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"It's clearly generating more than I'm paying."
A strong personal brand might be the answer to your problems.
founderbrands.io
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Should you build or borrow?
The default founder mentality is to build everything custom. Feels safer + better.
We did it at Twine. Admin panels, upload media processing, even HR systems. The dumbest thing we built was a kind of CRM system
Essential Q, so you don't waste team time:
Build your edge. Borrow the rest.
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@stuartlogan Yeah, people just take whatever AI gives them and move on, like being spoon fed without stopping to think or question it. Feels like that’s the real risk, not the tech itself. –Paula
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We need The Socrates Test
not whether AI can think like us, but whether we can still think like Socrates. Probe and reason. Don’t just accept AI
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HeyGen just hit $100M ARR this month, 29 months after we first reached $1M in April 2023.
None of this happens without our incredible team, customers, partners, and community. Thank you 💜
When we shared our first $1M milestone, it was to give back to the build-in-public community. The AI landscape has changed completely since then, but one thing hasn’t: how we build.
Internally, we’ve called it our “bible,” the system that’s guided us from $1M to $100M. It’s built from countless team discussions, experiments, and lessons learned along the way. After much reflection, I wanted to document what’s worked for us — for our team and for everyone building in AI.
We’re sharing it not because it’s perfect, but because it’s working. It’s how we deliver customer value, learn faster than the world changes, and keep riding the wave.
This is The HeyGen Way.
Joshua Xu@joshua_xu_
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This is one of my favorite charts at Buffer right now.
It's the chart of our number of paying customers. And it might look like we've just experienced some awful churn, but that's not what it is.
Those drops in number of paying customers are when we proactively cancelled subscriptions for some of our inactive customers.
We sent them an email and let them know that unless they responded asking to keep their subscription or started using the product again, we would cancel their subscription at the next renewal.
We made a decision recently as a company that it doesn't feel right to keep charging customers who are not actively using the product.
While keeping these customers might pad our revenue a bit, I believe it will make us a more responsive business to proactively cancel those inactive subscriptions and rely on revenue from customers who are actually getting value from the product.
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@Scobleizer @bhalligan Are you maybe interested in AI? Just a little bit?
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@bhalligan Hmm, I have lists of 7,200 AI startups at x.com/scobleizer/lis…
I did not come to that conclusion.
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I've looked at a lot of AI startups recently at the app/agent layer. My take:
Everyone's building the same stuff.
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Backlogs make or break startups. Ours was breaking.
Knowing what to work on next in a startup is a massive challenge.
We started with Jira as the backlog. It was effectively siloed to engineering and too expensive for the whole team to live in it.
We added a spreadsheet so sales, marketing, and CS could add ideas.
We used effort/impact to prioritise since the “RICE” methodology skewed toward the freelancer side of a two-sided marketplace (reach biased the scoring).
This worked for a bit, but customer feedback and bugs still weren’t getting the priority they deserved. And it felt kinda weird having our backlog on a spreadsheet.
We pushed more of that into Jira, but things continued to get lost.
So we moved the source of truth to Notion.
What changed and how:
1. A single “Backlog” database in Notion. Each ticket tracks an owner, discussion, the What, the Why (user story), the How (including “Appetite” from Basecamp’s Shape Up), assumptions around effort and impact, rabbit holes to avoid, and links to the relevant Objective and KR.
2. A dedicated “User Feedback” Notion database.
Every feedback item links to a Backlog ticket, and a roll-up/SUM field shows which tickets have the most customer signals so patterns surface quickly.
3. Helpdesk integration.
When a tag is added in support, a record is created in User Feedback with type (bug, product feedback, feature request), a GPT summary of the thread, and useful context like browser, device, and location for debugging. We use Crisp Chat and n8n for this automation.
4. An “Experiments” Notion database.
We migrated an experiment spreadsheet to track product and marketing tests with hypothesis, expected result, actual result, and links back to the related Backlog tickets.
5. One priority view everyone can see.
Product, marketing, sales, CS, and engineering all look at the same ordered list.
6. Delivery stays where it belongs.
Engineering still runs sprints in Jira/GitHub, while Notion is the front door for ideas, evidence, and decisions. (An integration here is next on our list)
Why this helped us:
- A true single source of truth for “what’s next.”
- Customer weighted prioritisation that’s hard to ignore.
- Clear ownership and OKR alignment across teams.
- Fewer status meetings and faster commits.
- A simple structure that doesn’t need some crazy expensive tool.
I hope this helps anyone else going through the pain of what to work on next, and doesn’t want to fork out £s on bloated software.
And of course, if you need help with n8n, Notion, or automation in general, we’ve plenty of consultants who can help you.
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A positive trend
GREG ISENBERG@gregisenberg
THIS chart is the CLEAREST signal of where the internet is heading. social media time is SHRINKING for the first time in HISTORY, and young people are leading the pullback. Brainrot is OUT. they grew up online, saw the full cycle of social platforms, and learned early that endless scroll doesn’t make you happier or smarter. they’re the LEADING indicator. their parents will follow in 3-5 years. AI slop is the nail in the coffin. every feed feels synthetic familiar faces, identical voices, recycled ideas. the “factory smell” of it all finally broke people’s curiosity. but there’s an upside. every trend creates its anti-trend. attention is shifting back to things that feel real, slow, and intentional. people are paying for spaces that make them feel grounded, informed, and connected again. the next $100M+ companies will engineer density, trust, and time well spent. they’ll build containers for meaning, then use AI to keep them organized, not optimized. the internet’s oldest assumption that more engagement equals more value is breaking. the white space i think is... • "slow media" formats: weekly briefs, serialized content etc • private groups that operate like clubs with applications and rituals • provenance and identity layers that verify real creators and sources • brands with offline gravity like real events, real belonging • curated directories and vetted marketplaces • paid memberships that deliver depth • note: we share business ideas around this on @ideabrowser • IRL anything - dinners, meetups, shared experiences young people are abandoning social media faster than their parents are discovering it. If you understand what that means, that's a big deal. i can't stop thinking about this FT/GWI chart. brainrot is OUT. meaning is IN.
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