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Show HN: Byte-Level tracing of API payloads secures data-in-use: no code changesIMAGE
caber.com• Mar 28, 2024• 1 min read
Show HN: Byte-Level tracing of API payloads secures data-in-use: no code changesHi HN, I’m Rob, founder of Caber.Caber combines dedupe and DNA-sequencing to scalably trace data at the byte-level across APIs to help incident detection/analysis teams find unauthorized movement of data between services (data-in-use) and at egress points. The solution requires no code changes, and deploys automatically.A ~2 min video is here: https://vimeo.com/923537694?share=copyCentral to the product is using existing policies and permissions on stored data, files, objects, database records, etc., and applying those permissions to the unique byte-sequences that belong to those data objects.This approach enables the product to build a ‘call-graph’ (https://en.wikipedia.org/wiki/Call_graph) of how an incident happened including the individual API requests and responses involved and the data they contained. We then use AI to analyze these graphs across the entire application to determine the problem source and provide remediation options.My first post here on Caber (https://news.ycombi
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news.ycombinator.com• Jul 27, 2026• 1 min read
Show HN: Case study: A coding agent refactors a 750k LOC app, no code reviewIn the following case study, the AI coding agent rebuilds a core system invariant in just three days, with minimal human input, running 31 verification passes and correcting 201 errors, before shipping code with zero bugs, zero regressions, and zero technical debt.https://aisovereignlabs.ai/docs/case-study/liveSession/case-...Disclaimers:This case study is NOT: - a project written from scratch - yet another Rust transpilation - a clone of an open-source project found in the LLM's training data - a Super Mario clone in HTMLIt IS: - a complex application maintenance task, about a unique problem with no open-source equivalent, to the best of my knowledge - a true engineering feat, 90% driven by the agent powered by ChatGPT 5.6 Sol Reasoning MAX - 201 bugs, ambiguities, and architectural flaws automatically fixed by the AI agent - proof that one can program perfectly within complex legacy software without any need for human code reviewFeedback welcome.
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ismydatanormal.com• Jul 16, 2025• 1 min read
Show HN: Check if your data follows a normal distribution (no code, free tool)I built a small tool that checks how close your data is to a normal distribution. You just upload a CSV column, and it computes the KL divergence between your data and a normal distribution with the same mean and standard deviation.No installation, no login, just quick feedback: https://ismydatanormal.comBuilt it mostly for fun – but I’ve already found myself testing sleep patterns, messaging habits, and even some sensor data. Would love your feedback!
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i-laun.ch• Apr 13, 2025• 1 min read
Show HN: I made a no code landing page builder to validate SaaS ideas in minutesHey Folks,Have an idea but don’t know if it’s good? - This exact problem wrecked my last SaaS. Rather than evaluating if the idea was good I directly dove into coding. After working nearly a year on my side project, I realized my idea had some major flaws and it never saw the light of the day.Now, I'm launching I launch! which solves exactly this problem. I launch! lets you create landing pages for your SaaS ideas with integrated analytics and waitlists. Start sharing and evaluating your ideas before you even start coding!You can check it out here: https://i-laun.chThank you so much for your interest! I am looking forward to your feedback and questions!
Show HN: Costbase – See what each of your AI apps costs, without a proxyIMAGE
costbase.co• Jul 13, 2026• 1 min read
Show HN: Costbase – See what each of your AI apps costs, without a proxyLive demo, no signup: https://costbase.co/demoHi there, over the past 1-2 years I've built and experimented with many AI apps. Some are in production, some died in the experimental stage.The ones in production currently costs me ~$500 a month to run – using a variety of models from OpenAI's Whisper to Anthropic LLM.Because it's important for me to track the Cost of Goods Sold of each individual app, the strategy I've used so far is to use a different credit card for my few apps. However, that obviously does not work the more apps I build.This is why I built Costbase – a simple app that just requires that I paste in an admin key with no code change (and no proxy sitting between my app and the AI provider) – and show me the cost of my AI bill broken down by apps and not API keys.I intentionally kept this product as simple as possible – something I would actually like to use. I know there are observability tools like Helicone that are much more capable. But to be honest I didn't even try
Ask HN: What do your job interviews look like? (August 2026)IMAGE
news.ycombinator.com• 10h ago• 1 min read
Ask HN: What do your job interviews look like? (August 2026)For those who have recently (Summer 2026) gone through software engineering job interviews, have you noticed any changes in the interview process?Is it still the usual Leetcode, system design, behavioral and leadership questions, and maybe technology specific questions (e.g., Spring for Java devs, borrow checker details for Rust devs, etc.)?Or have you noticed something completely different because of the AI agentic era, with companies taking a fundamentally different approach to interviewing engineers? If so, could you share some of the more unique or unusual things you've seen?
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Show HN: Manage coding norms across your AI agentsIMAGE
github.com• 14h ago• 1 min read
Show HN: Manage coding norms across your AI agentsWorking on a tiny repo to keep coding norms in sync across AI agents. Trying to make it simpler than Ruler / RuleSync.Would love feedback on: 1) Is this the right way to manage coding norms as agent use balloons? 2) Would it be useful to sync rules with your team through the VSCode extension? 3) What's the best way to enforce long-term norm consistency as norm and code count increase?
Show HN: Piqt (iOS) – on device photo and video curatorIMAGE
piqt.app• 21h ago• 1 min read
Show HN: Piqt (iOS) – on device photo and video curatorI've just released Piqt, an on-device photo/video curator. For years I've wanted to get my Apple Photos library under control, but there just aren't enough hours in the day. I started out in Jupyter notebooks to see how much I can use AI models to automate it and Piqt is the result.My goals with Piqt:- Fully on device: I use a number of ML models, Apple Vision API, clustering algorithms to rank and sort your photos. Everything runs on device.- Private and Safe: Piqt has no accounts, no cloud services, no personal identifiers. Images or personal information never leave the device. Piqt also CAN'T delete your photos. I have a test and validation step in the release process to ensure no delete APIs exist in the code. Instead, Piqt stages things you want to clear out in an album, which you can delete when you're ready.- A library you can use. I didn't just want to clean out images or clear up space. There are plenty of apps for this. My ultimate goal is to make your (and my) photos easier
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