Chip Lay

513 posts

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Chip Lay

Chip Lay

@chiplay

Product @subtextdev by @fullstory. Head over heels for @laybabylay

Atlanta, GA, USA Katılım Nisan 2008
199 Takip Edilen182 Takipçiler
@jason
@jason@Jason·
We can turn the AI narrative around by making consistent progress on the big five: 1. use AI/robotics to create more housing (go @JasonDBallard go!) 2. using AI to make education 10x cheaper and 2x better 3. retirement (i.e. @InvestAmerica24 / aka Trump Accounts) 4. universal healthcare 5. raise the minimum wage ~$1.25 a year for 10 years / until we hit $25 (shout out to @mcuban for pounding this drum)
@jason tweet media
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Chip Lay
Chip Lay@chiplay·
@antonosika excited about this direction for @Lovable. Fantastic interview. Moving further up the stack to hosting and background agents that can provide continuous insights is exactly what lovable users need to drive their new businesses forward and get great outcomes. It's fun to vibe code a new thing. It's a lot more fun to launch it for real and grow a business.
Anton Osika@antonosika

One of @Jason's employees built an intranet on Lovable that he said would have cost $500,000 two years ago. It took four hours and cost them less than $2,000 in a year. We spoke about who's building, what it means for society and what's next for Lovable.

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Chip Lay
Chip Lay@chiplay·
@antonosika love this direction for @Lovable (from the pod transcript): “So we're working with some of our customers in pre-release to give them access to a co-founder that works for you even when you're sleeping. And it comes back to you in the morning and says like, here are some strategic directions you could go, here's some optimizations you can go in terms of growing your business faster, serving your customers better, faster.” How are you thinking about discovering those customer insights? Curious what UX telemetry you’re planning to capture to let your co-founder agent truly “see” and understand how to improve Lovable-published products. Fantastic interview, @Jason! (as always)
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Anton Osika
Anton Osika@antonosika·
One of @Jason's employees built an intranet on Lovable that he said would have cost $500,000 two years ago. It took four hours and cost them less than $2,000 in a year. We spoke about who's building, what it means for society and what's next for Lovable.
The All-In Podcast@theallinpod

LIVE from Paris: Former Intel CEO on What Went Wrong + What's Next, Lovable CEO on the Future of Vibe Coding @Jason sits down with @PGelsinger and @antonosika (0:00) Former $INTC CEO Pat Gelsinger joins Jason! (1:41) What Went Wrong at Intel (15:19) Why a Taiwan Blockade Would Cripple the US Economy (25:00) Lovable's Anton Osika: One Million New Apps a Week (33:38) How Lovable is Bringing Down Builder Costs --------------------------- Thanks to our partners for making this possible! @airwallex is a leading global payments and financial platform for modern businesses, offering trusted solutions to manage everything from business accounts, payments, treasury, and spend management to embedded finance. airwallex.com/allin @PLAUDAI - If your work depends on conversations — meetings, deal flow, interviews, customer calls — Plaud helps you capture and organize everything with highly accurate AI-generated notes that are not just simple summaries, but also highlight pain points, key decisions, next steps, and customizable summary templates. Check out Plaud at Plaud.ai/allin and use code ALLIN for up to 20% off! Which is also available on Amazon: amzn.to/43URLff (Code: ALLIN20X) And a special thank you to @RaiseSummit for hosting us in Paris

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dax
dax@thdxr·
i am evaluating all sandbox providers, our requirements are high - fast disk, not networked - fast CPU, should be virtualizing on bare metal - can pause/resume
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Chip Lay
Chip Lay@chiplay·
I’m really impressed by the new agent loops @linear is introducing. I was initially skeptical about running agent infrastructure inside of Linear, instead of my own harness, but it starts to make sense when you connect all of your MCP’s and skills to an agent that’s always on and triaging the influx of tickets. Recommend trying triage agent automation - aka agent loops - if you haven’t yet.
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Chip Lay
Chip Lay@chiplay·
@btaylor @btaylor smart. We’ve been working with Fin and Decagon, but having long running agent relationships and memory is the way to move beyond basic FAQs.
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Bret Taylor
Bret Taylor@btaylor·
The key insight of Sierra Horizon is your company's moat is the context you have about your customers, and that will compound as more of your customer experience is powered by AI agents. With every agent conversation, the context about your customers gets richer and your agents become more effective. That proprietary context remains yours as frontier intelligence improves, enabling you to deepen your differentiation and benefit from new models without fear that doing so could help your competitors. And with Horizon, you don’t pay for tokens, you pay for business outcomes delivered. We bear the burden of managing token spend, and you can focus on what matters most to your business: growing your customer base and driving revenue. x.com/btaylor/status…
Bret Taylor@btaylor

x.com/i/article/2077…

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Chip Lay
Chip Lay@chiplay·
@VictorMoreira16 Thanks @VictorMoreira16! MDA was amazing to work with. Highly recommend for those exploring agent infra and want to have a more cohesive offering, while avoiding model/lab lock-in.
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Chip Lay
Chip Lay@chiplay·
Excited to launch Subtext today! It’s been a long journey, with a few twist and turns, but feels great to put something new into the world that I believe in. Come find us in the Claude and Cursor connector marketplaces! claude.ai/directory/conn…
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Chip Lay retweetledi
Claire Fang
Claire Fang@clairefgfg·
The Innovator’s Dilemma is easy to explain and hard to escape. Once customers love what you built, the company starts organizing around protecting it. Subtext began with a different question: what would we build if the future users of our product were AI agents, not humans? That forced us to rethink the product, the cost structure, and the go-to-market model. AI agents can process far more than people can, so the economics had to change too. We set a hard constraint: the cost needed to be an order of magnitude lower. Subtext is decoupled from Fullstory. You can use it even if you use another tool for product analytics today. It would have been easier to make the new product reinforce the current business. Instead, we built for the market we believe is coming.
scott voigt@scott_voigt

x.com/i/article/2077…

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Dan Shipper 📧
Dan Shipper 📧@danshipper·
@afestekjian @every codex credits should definitely work with any existing subscription! im not 100% sure about the core product credits in posthog, will check and get back to you!
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Dan Shipper 📧
Dan Shipper 📧@danshipper·
BREAKING: Introducing All Access from @every, our new membership tier for the best builders in AI All Access subs get the Builder Pack which includes $7,000 in credits and free usage to the models + tool stack we use @every. All Access subscribers get: - $1,000 in Codex / @ChatGPTapp for Work credits - 12 months free of @Cursor_AI Pro+ - $4,000 in @PostHog credits including self-driving to automatically fix bugs and identify issues in your production app - 1 year free of @Framer - 6 months free of @NotionHQ And much more! (Did I mention $1,000 in Codex credits? It's time to build!) Get all access: every.to/builder-pack Why All Access and the Builder Pack This is the best time in history to build something. For a long time, it’s been possible to one-shot impressive demos, but they’d fall flat the minute they hit production. But the release of GPT-5.6-Sol and Fable 5 heralds a new era: Everyone can build, launch, and maintain the software that they’ve always dreamed of. Everyone is a builder now. There’s just one catch: Building with AI is very expensive. (Ask me how I know.) (Alright, I’ll tell you. I accidentally used 2 billion tokens overnight this week on a big GPT-5.6-Sol run. Worth it.) This is unique in the history of technology. For most of the personal computing era, a billionaire and a solo builder could buy essentially the same top-of-the-line Mac. AI changes that: The more tokens you can afford, the more you can make. And we want to make that accessible to more people. That’s why the main feature of our new All Access plan is the Builder Pack: more than $7,000 in credits and discounts on the full stack we use to run Every, from idea to production—Codex, Claude, PostHog, Render, Gemini, FLORA, and more. Early-bird membership is only $500/year for the next 24 hours—and the Codex credits alone are worth $1,000. (I could’ve used it for my overnight run this week.) Now we’re handing it to you. Get all access: every.to/builder-pack Meet the Builder Pack It's got more than $7,000 in offers from 10 of the AI products we use to write, design, build, and run @Every: BUILD - $1,000 in Codex credits plus one month of ChatGPT for business - Twelve months free of Cursor Pro+ - One month free of @Claudeai Max - Three months free of @Google AI Pro DESIGN - One year free of @Framer Pro - One month free of @floraai Max HOST - $300 in @render credits IMPROVE - $4,000 in PostHog credits - Six months free of @Notion Business - Six months free of @AgentMail We rely on these every day, and we tried to put together a package that helps you comprehensively for each part of the process of building and running software in AI. What comes with All Access - Everything in an existing paid Every membership: our daily writing, guides, camps, and software like @usemonologue, @CoraComputer, @SparkleApp, and @TrySpiral - The Builder Pack, with more than $7,000 in partner offers - Unlimited email accounts use of Cora and unlimited Spiral usage - Members-only programming with me and the Every team and me Get All Access: every.to/builder-pack
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Trevor Loucks
Trevor Loucks@MeTrevorLoucks·
@michlimlim @posthog Seriously, watching session replays is my personal hell. I wish the roi wasn’t so high.
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Michelle Lim
Michelle Lim@michlimlim·
How are people feeding @PostHog session replays to agents? I want to run mass analysis across hundreds of sessions, not watch them one by one. There has to be a better way.
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Chip Lay retweetledi
Harrison Chase
Harrison Chase@hwchase17·
🚀Launching: LangSmith Engine LangSmith Engine is an agent that sits on top of your traces It runs in the background and automatically identifies issues It then proactively suggests action items (code changes, evaluators to add) Try it today: smith.langchain.com
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