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AI 资讯

Launch HN: Agnost AI (YC S26) – Extract user feedback from agent conversations

Hey HN, we’re Shubham & Parth, childhood friends building Agnost AI ( https://agnost.ai ), product analytics for teams building chat and voice agents. We read production conversations and find behavioral failures like users rageprompting (cursing at the agent), repeatedly rephrasing the same request, correcting the agent, asking for missing features, or leaving after an answer that was technically successful. We have an interactive demo with no signup here: https://app.agnost.ai?demo=true Here's

2026-07-15 原文 →
AI 资讯

Catch PCB defects before ordering

A product idea from RayTally's daily scan of public signals. The idea One-liner: Helps first-time PCB designers find manufacturing and assembly problems on the board before they place an order. Concept: A desktop preflight tool helps first-time PCB designers find contradictions among their manufacturing files before payment. Users drag in Gerber files, a bill of materials, and placement coordinates. The first screen highlights high-risk locations such as board outlines, hole sizes, package orientation, and missing components. Clicking an issue locates the specific pad on the board and shows the design value beside the fabricator's rule. The tool also simulates panelization and the board's appearance after component placement, exposing problems such as insufficient connector overhang and component collisions before they happen. It does not require beginners to read an entire manufacturing standard; it focuses each check on the changes needed for the current order. Why now On July 11, 2026, a first-time board designer publicly documented the full process from designing in KiCad and exporting Gerber and drill files with default settings to sending them to a fabricator and assembling the board by hand. Before powering it on, he still put the odds of a first successful result at "fifty-fifty." At the July 13, 2026, 09:46 UTC capture, the experience had an observed score of 111 and 45 comments on Hacker News. KiCad already provides baseline capabilities including DRC, Gerber viewing, 3D viewing, and manufacturing-file output. Consolidating these scattered steps into one order-level preflight directly addresses the question beginners face before payment: what exactly should they check? Signal Hacker News "Designing and assembling my first PCB" (approximately 111 points and 45 comments, observed July 13, 2026, 09:46 UTC). RayTally scans public signals daily for product ideas worth building. Browse the source page and more product ideas .

2026-07-14 原文 →
AI 资讯

Show HN: Simulator for a custom 8-bit discreet logic computer

5 years ago, I made a derivative of SAP-1 (mainly inspired by Ben Eater) on breadboard with few improvement and called it MSAP-1 ( https://github.com/mehrantsi/MSAP-1 ) I made my own very primitive Assembly language and a simple Arduino programmer ( https://github.com/mehrantsi/8-bit_CPU_Programmer ) where I could load my programs onto MSAP-1 and even Debug them ( https://github.com/mehrantsi/8-bit_CPU_Debugger ). After that I started worked on the second version of it ( https://github.com/mehra

2026-07-14 原文 →
开发者

Show HN: Opening lines of famous literary works

This came from an idea that had been knocking around in my head for several years. I had been collecting opening lines of famous works and thought it would be cool to see one everyday as I opened the browser. I tried different styles but landed on the simple background with the text, let the words speak for themselves. Over time i've added more quotes I believe now there are close to 60, so hopefully you can refresh a few times and get a fresh one every time. I hope you guys like it, enjoy!

2026-07-14 原文 →
AI 资讯

He Built an App in 24 Hours and Made $20,378 the Next Day. Here's the Part Nobody Screenshots.

Marc Lou read a tweet, slept on it, and woke up still annoyed. The tweet, from Pieter Levels, was about all the fake revenue screenshots on X. By the next evening Lou had built a thing to fix it. By the day after that, the thing had made $20,378. That is the part everyone retweets. I want to walk you through it, and then I want to show you the line in his own year-end letter that complicates the whole legend. The setup Lou got fired by Tai Lopez in November 2021, was broke and depressed, and moved to Bali. He started shipping tiny products in public, copying the playbook of, yes, Pieter Levels. His breakout was ShipFast , a Next.js starter kit that did $40,000 in its first month in September 2023. By December 2025 he was running 15 startups generating about $84,900 a month, with cumulative revenue past $2.26 million, per his verified TrustMRR data. The reason I trust his numbers more than most is that he verifies them through Stripe on his own product, TrustMRR , which brings me to the 24-hour story. The moment something worked, absurdly fast TrustMRR exists to kill fake MRR screenshots. You connect a read-only Stripe key, and it shows your verified revenue on a public page nobody can edit. Lou built it in a day on top of his own boilerplate, which is the cheat code here. He was not starting from zero, he was starting from ShipFast. "TrustMRR is 24 hours old and was built in 24 hours." @marc_louvion on X He monetized it with sidebar ad slots. He listed them at $299 a month, then raised the price each time one sold, all the way to $1,499. In his newsletter he wrote that within three days every slot was gone and the side project had made $20,378. He called it the third fastest-growing thing he has ever built. Five days in, he posted the run-rate dream out loud. "20/20 spots filled! TrustMRR went from $0 to $18,380 MRR in 5 days. That's $220,000 ARR if I'm allowed to dream a little" @marc_louvion on X It kept going. By December 2025 TrustMRR was his single biggest inco

2026-07-14 原文 →
AI 资讯

Show HN: I built a smart proxy so your coding agent can run loose

The only way to go fast is full YOLO mode in your coding agent. I've got the local sandbox figured out (pro tip: Incus VMs work great) but I wanted to keep my agents from doing things like inadvertently blowing up my cloud services or chasing a prompt to POST to some random website. I struggle most with this on my side projects where my permission model isn't quite as robust as it is at the office. I started with a firewall on the Incus container but every time the agent needed access to somethi

2026-07-14 原文 →