Harry

@htormey

226 Following

1777 Followers

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Some folks say only complex SaaS will survive now that anyone can build with LLMs. But most people know how to make coffee or grill a burger and still go to Starbucks or McDonald’s. It’s faster, more consistent, and they don’t have time to mess around. I could build my own Calendly with AI. But I don’t want to debug time zones or outages on a weekend. I’ll gladly pay for software that just works.

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Disposable software isn’t new, tools like website builders, wedding registries, or Google Sheets for expense tracking have existed for years. What’s changed with LLMs is the speed and cost of designing, deploying, and iterating this type of software. This shift fundamentally changes user expectations and behaviors by altering the economics of software creation.

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Lots of folks predict the end of SaaS because AI makes it easy to quickly vibe-code disposable todo lists or diet trackers. But how much throwaway software do you really want if you value your time? In an era flooded with AI-generated mediocrity, there’s huge value in software where details, edge cases, and security are thoughtfully handled—saving you time, money, and frustration.

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Friday Demo: APX + Datadog catching missing database indexes! Found endpoint with 1-minute responses (39% in DB) & provided exact SQL fixes. Sometimes the biggest wins are hiding in plain sight. Try APX today, link below.

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Unlike previous eras in my tech career, most of my gains in productivity and impact have not come from learning a new framework, platform or language (iOS, React, Typescript). But rather from learning new workflows and tool techniques (prompting, Cursor, etc).

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I joined Farcaster on 10th August 2022, which was 2 years, 7 months, 14 days ago. Since then, 99.9 percent of users have joined after me frame by @cashlessman.eth

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We’re hiring a Senior Full-Stack Design Engineer (remote, US & nearby time zones).Next.js, React, Tailwind, strong UX focus. 5+ yrs exp, full-stack mindset, TypeScript + Python. DM me if that sounds like you at and you are interested!

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Planning on getting together with a few ex-Apple employees who are startup founders for drinks in SF at 6:30pm on Tuesday the 25th of March. If that sounds like you and you wanna join, let me know.

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Happy St Patrick’s day! Praying for green markets on this scared day.

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I have touched grass.

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Weekend vibe PMing some PRDs.

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Friday Demo time: Just recorded how APX integrates with Sentry to solve a Django N+1 queries. For simple issues, we auto-generate PRs. For complex ones, we deliver enriched prompts with production telemetry for Cursor/Windsurf no more unmergeable AI PRs. What should we demo next?

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Late night vibe debugging be like: https://www.instagram.com/reel/DHE0l5fyfIy/?igsh=NWIweXMwZHJ5czBk

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Hiring a US-based Developer Relations Engineer to showcase our AI tool that fixes production performance issues in Next.js, Django, React Native & more. You'll create technical content, live demos & engage with developers. Interested? Reply or DM with a demo.

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Friday Demo time: Just recorded a walkthrough of APX's onboarding flow See how quickly our AI agents connect to GitHub, Datadog, Sentry and Postgres to auto-fix production issues. From signup to automated PRs & recommendations in minutes. What should we demo next? https://x.com/htormey/status/1898051083853086919?s=46&t=Bc9m1uknKGxrhqisx2EO2g

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AI won’t replace SaaS for the same reason Excel hasn’t replaced enterprise software, someone has to care about the details. Edge cases, security, compliance, access controls, and support at critical moments are why enterprise contracts get signed. AI can generate code, but it can’t own the problem.

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Giving Agents and IDEs like Cursor the ability to see your figma files and use them as part of the context for prompts also seems like a promising use case for MCP. https://x.com/glipsman/status/1897185091685900596?s=46&t=Bc9m1uknKGxrhqisx2EO2g

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This is starting to feel a bit more like a solid use case for MCP. Configuring and orchestrating production systems from within an IDE/Agent. I still have questions about how authentication and debugging permissions would work for this in practice. https://x.com/devneill/status/1897274528981770260?s=46&t=Bc9m1uknKGxrhqisx2EO2g

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Would you pay for an MCP server that gave you access to your Datadog/Cloudwatch data, sentry data and Postgres telemetry within Cursor? https://x.com/pashmerepat/status/1896646892211294372?s=46&t=Bc9m1uknKGxrhqisx2EO2g

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Steve Jobs built Apple by prioritizing simplicity and user experience over complexity for its own sake. In contrast, data providers like Datadog and Sentry profit by making customers store excessive, irrelevant data, drowning them in noise. A great AI product should be like Apple, focused on clear, actionable insights, not overwhelming users with raw information. That’s why I’m bearish on incumbents solving this and bullish on new companies that rethink the problem from first principles.

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