Tim Nolet
@tim_nolet
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Founder @checklyHQ
Utrecht, The Netherlands
Joined June 2015
Excited to use Google's new AI stuff with AI studio, Antigravity, Banana, Banana Pro, Grape Ultra, Gemini 3, Vertex and Jules.
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Building Error Grouping for test workloads. Sadly not design pron. But just boring old SaaS CRUD screens.
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Still haven't found a better, more practical implementation of an AI agent than @Sentry 's Seer. I'm 100% learning — and a little bit stealing ideas from —their UI, implementation etc.
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If you're a guy in your early 20s, invest in a fake neon sign for your B2B SaaS startup. Go into debt if you have to.
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Running other peoples' code, securely and at scale is a big headache. I think we are at iteration 89 of our backend executing user defined Playwright scripts and Node.js code. With the AI boom this is exploding and I'm super jealous that this kind of stuff will be COTS soon.
There's a lot of buzz about code sandboxes. Which makes sense – coding agents are very useful! However I suspect building a business around it is quite hard. Some thoughts in 🧵
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Really hope it doesn't end up being another Meteor.js
We just raised a bunch of money to reinvent backend engineering for developers. We have huge plans for Convex, and we need your help to realize them. https://t.co/hMMWTGp8Tx
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Too much designer dashboard porn here. I enjoy making dashboards with actual production data. Using @vuejs @tailwindcss in the FE and @ClickHouseDB and @postgres in the BE.
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Never used graphQL, probably has its uses, but the 200 OK -> response body has the errors is a terminal design flaw.
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I want to like TypeScript. On fresh, greenfield projects it's great. And then you get this...
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Vue 3 with the composition API etc. is pretty much perfect. Except for the `.value` notation. It still messes with me after months of usage.
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I use Sentry (almost) every day. I still have no idea what the difference between "Explore", "Dashboards" and "Insights". They all kinda mean the same.
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Long time coming: you can now run your full Playwright test suite in Checkly's cloud. 👉 all browsers 👉 custom NPM packages 👉 stored credentials across runs + you get cool dashboards, test reports, traces, videos etc. etc. This took some major engineering lifts, more later.
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Love SaaS dashboard mockups. Love the sound they make crashing into reality. Our recent design update: - filter bar? Schema changes, queue workers - chart? 753hrs on Highcharts - table w/ errors? 9 migrations across DBs - tiny AI subtext? 3 months to nail
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Hats off to @getsentry for their AI product. Well polished and quite some interesting code fix suggestions. Still needs some human checking, e.g. proposing a Redis flag that is not recommended for production. UX is ace.
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This is real life example of our AI User Impact and Root Cause Analysis (now in beta). It just saved a customer tons of time searching through logs, code and traces. - Tells you what feature is broken. - Tells you this is 502 error on an API gateway.
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