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I have a decade of mixed experience: 10+ years in IT, 2 years on a professional motorsports team (Tony Kart, Ducati, Miata), and 4 years in software (refactoring old .NET to Spring Boot&#x2F;Angular and some greenfield projects). I self-taught my way into dev and finished a CS degree while working.<p>I’m currently at a {big_slow_corp} and feeling the AI squeeze trying to switch jobs. My exp is not public facing so the “experience building scalable apps to disrupt the market” requirement I think is my weakness. I’ve also realized my heart isn’t in web frameworks. I’m the guy bored on a plane talking to his gf about flap software, throttle response, and suspension geometry like a kid showing a toy to his mom.<p>I want to move &quot;closer to the metal&quot;, ECUs, controlling machinery, I’d love ML applied to machinery, even infotainments!, but my professional resume is strictly high-level. My tinkering experience includes building MegaSquirts and using ESP32s for signal filtering and logic, data loggers and wiring things you’d find in a race car, but I currently lack a project car to demonstrate new work.<p>How can I bridge the gap from Java&#x2F;Angular to automotive software?<p>Does a decade of IT and 4 in backend experience carry weight in the &quot;Software Defined Vehicle&quot; world, or am I starting at zero?<p>What &quot;proof of work&quot; can I build to wow recruiters at places like Toyota Research or Tesla (any brand with US presence really) without a physical car to hack on?<p>I&#x27;m ready to pivot to where my passion actually is. Any advice is appreciated.

I built PurchaseKit to add in-app purchases to Hotwire Native apps without writing native code.<p>Adding subscriptions to a native app means learning StoreKit and Play Billing. Two platforms, two languages, two sets of documentation. Then you try to wire it all up to your Rails backend.<p>PurchaseKit gives you drop-in bridge components for iOS and Android. Your paywall stays in ERB. No Swift, no Kotlin.<p>It also normalizes Apple and Google webhooks into four events (created, updated, canceled, expired) so you don&#x27;t have to deal with their different formats.<p>Works with the Pay gem or your own models.<p>Free for up to 10 paying customers, $99&#x2F;mo after.<p><a href="https:&#x2F;&#x2F;purchasekit.dev" rel="nofollow">https:&#x2F;&#x2F;purchasekit.dev</a>

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PokerBench is my attempt at a new LLM benchmark wherein frontier models play Texas Hold&#x27;em in an arena setting. It also features a simulator to view individual games and observe how the different models reason about poker strategy. Opus&#x2F;Haiku, Gemini Pro&#x2F;Flash, GPT-5.2&#x2F;5 mini, and Grok 4.1 Fast Reasoning have all been included.<p>All code -&gt; <a href="https:&#x2F;&#x2F;github.com&#x2F;JoeAzar&#x2F;pokerbench" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;JoeAzar&#x2F;pokerbench</a>

I forked a PyTorch DeepDream implementation and added video support with temporal consistency. It produces smooth DeepDream videos with minimal flickering, and is highly flexible including many parameters and supports multiple pretrained image classifiers including GoogLeNet. Check out the repo for sample videos! Features:<p>- Optical flow warps previous hallucinations into the current frame<p>- Occlusion masking prevents ghosting and hallucination transfer when objects move<p>- Advanced parameters (layers, octaves, iterations) still work<p>- Works on GPU, CPU, and Apple Silicon

Hi HN<p>I built diffchecker.dev, a simple online diff checker for comparing text&#x2F;code quickly in the browser.<p>I wanted something that is:<p>Fast (no signup, no clutter) Privacy-friendly (diff happens client-side) Useful for everyday developer workflows<p><a href="https:&#x2F;&#x2F;diffchecker.dev" rel="nofollow">https:&#x2F;&#x2F;diffchecker.dev</a><p>I’d really appreciate honest feedback:<p>Do you find the UI intuitive? Is anything confusing or missing?<p>Happy to iterate based on feedback.<p>Thanks in advance.