The Fitbit Air isn't the only Whoop alternative that you can buy without a subscription.

Chrome extension that replaces "AI" with 💩 Discussion | Link

I want 1-2 AI/ML related pirated course. If anyone has it please comment. submitted by /u/hassan21018 [link] [留言]

Craig Campbell walked away from the river of investor money flowing into AI to create, of all things, a website. Sure, Campbell probably could have started an AI company. He's a former engineer at Meta and an experienced tech founder who in 2022 sold his last venture - an e-commerce tool for businesses that use […]

Aliyah, a light-skinned Black woman dressed in country-western gear, is struggling to sell metal buckles she handmade on TikTok. In a video for the social media platform from March, she cries to the camera and pleads for views: "Even as a black woman, I have more faith that white women will stay 13 seconds [on […]

We’ve compiled an overview of some of the top alternative browsers available today aiming to challenge Chrome and Safari.

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> TL;DR — I run four different domains off one Next.js codebase: a marketing site at pagestrike.com , an authenticated app at app.pagestrike.com, a public publishing domain at pagestrike.app, and customer-owned domains. The trick isn't deploying four apps — it's a single proxy.ts that reads the host and rewrites/redirects/passes-through per-request. This post walks through why I chose this shape, the parts I got wrong, and the cookie-domain trick that makes it all stick. Stack: Next.js 16 App Router , Supabase , Vercel , one proxy.ts file (~370 lines). This is the second post in my build-in-public series on PageStrike . Last week I wrote about the 6-CTA architecture — modeling conversion intent as a discriminated union so one launch could be a checkout, a COD form, or a calendar booking. This post is about a different primitive: modeling host as routing context so one codebase can serve four very different audiences. Why four domains, not one Most SaaS apps live at one domain — say myapp.com with /dashboard under it. That works until you grow into edge cases that don't fit: Marketing pages get spammed by your own dashboard headers. Your marketing nav says "Sign in / Pricing / Blog". Your dashboard nav says "Launches / Contacts / Settings". You either A/B them with conditional logic everywhere or you live with the noise. Public user-generated pages share your domain reputation. When a customer publishes a landing page at myapp.com/p/[slug] , every spammy LP from a free-tier user drags down myapp.com 's sender reputation, search trust, and ad-account standing. Google and Meta penalize the host, not the path. Custom domains don't route cleanly. A customer who buys acmewidgets.com and points it at your app expects their LP at acmewidgets.com/ — not myapp.com/p/acme-widgets . You need a rewrite that's transparent to the visitor, doesn't 404 on _next/static/* , and survives RSC prefetches. I split PageStrike — a free AI landing page builder — across four hosts to solve al

hey guys, i’ve been frustrated for a while by how bloated and ad-heavy existing wheel fitment databases are. if you’ve ever tried to look up a simple bolt pattern or offset, you know the pain: 3 trackers, 5 pop-ups, and a database that looks like it was built in 2005. so i decided to build a "zero-bloat" alternative: https://boltpatternhq.com/ the core challenge here wasn't the AI part—it was the data structure. i needed to map 10,000+ vehicles with PCD, center bore, and offset specs in a way that was instantly searchable but didn’t require a massive backend hit. a few technical details for those curious: architecture: the site is served as a pure static frontend (html/css/js). no backend, no server maintenance. search: i’m using a pre-computed client-side search index (json-based) for the auto-complete. it’s instant, local-first, and keeps the search experience snappier than any backend call. ai integration: this is the fun part. i'm using cloudflare workers ai to run the models directly at the edge. it avoids all the typical "openai wrapper" latency and cost issues. the model is constrained specifically to my structured database, which helps keep the fitment advice precise and prevents it from hallucinating wildly. it’s still a work in progress, but the goal was to create something "utility-first" for car guys who just want the specs without the tracking trash. i'm currently looking for feedback on the ux of the search widget and the load performance. does the search feel snappy enough on your side? would love to hear what you guys think about the tech stack. submitted by /u/SideQuestDev [link] [留言]

I have been thinking a lot about coding agents lately. Not really about whether they can write good code, because usually they can, sometimes they can't. That part is obvious. But the risk is shifting from wrong answers to wrong outcomes. The part that feels more important to me is this: should the agent actually own the write authority? We already don't trust humans without roles, limits, reviews, and accountability. Developers use PRs, pilots use checklists, bank clerks have transfer limits. Capable agents need the same structure, but machine-readable. Right now a lot of setups still look roughly like this: agent reads the repo agent decides what to change agent has a GitHub token agent creates commits, branches, or PRs I don't think this is the right default. The agent can reason. The agent can inspect files. The agent can propose changes. But the moment it can directly create external impact, the problem changes. It is no longer just: did the agent say something wrong? It becomes: did the agent create the wrong outcome? That is a much more expensive failure mode. Intent is not authority The pattern I like more is simple: agent reads directly agent proposes intent a boundary decides an adapter materializes only admitted work So the agent does not get the write credentials. It submits a structured intent instead, which could look like: { "operation" : "write" , "target" : { "repo" : "example/app" , "branch" : "main" , "path" : "docs/config/agent-policy.md" }, "source_state" : { "blob_sha" : "8f31c2..." }, "requested_effect_hash" : "sha256:..." } This is then not a command anymore, it is a suggestion, or an intent. The system still has to decide whether this proposed outcome should exist. That decision layer can check things like: is this actor allowed? is this repo allowed? is this path in scope? does the source state still match? is this operation allowed? was the same effect already created? should this become a reviewable PR? Only after that should there be an

Pulling together this week's major AI releases for anyone who didn't have time to track every blog post. Sticking to substantive changes, not hype. Anthropic — Claude Opus 4.8 Released this week. Headline pricing unchanged, but Fast Mode dropped from $30 input / $150 output per million tokens to $10 / $50 — a 3x reduction on the premium tier. Reported improvements in "judgment" and longer autonomous runs. Also shipped 20+ legal MCP connectors and Microsoft 365 add-ins (Excel, PowerPoint, Word) in GA. Alibaba — Qwen 3.7 Max Launched May 20 at Alibaba Cloud Summit. 1M-token context. Reported to top Claude Opus 4.6 Max on Terminal-Bench 2.0, SWE-Bench Pro, and MCP-Atlas. Pricing $2.50 / $7.50 per million tokens — roughly half of Opus 4.7. Alibaba claims autonomous operation up to 35 hours without performance degradation. Alibaba is now ranked #6 lab globally on Arena text leaderboard. OpenAI — GPT-5.5 Instant Now default in ChatGPT. Reports 52.5% fewer hallucinated claims than GPT-5.3 Instant on high-stakes prompts (medicine, law, finance). OpenAI also shipped a ChatGPT sidebar inside Excel and Google Sheets, plus a personal finance dashboard for Pro users (US only). Google — Gemini 3.5 Flash Reported to beat Gemini 3.1 Pro on coding and agentic benchmarks at ~4x faster output token rate. Ultra subscription cut from $250 to $200/month; new $100/month Developer tier introduced. xAI — Grok Build 0.1 Coding agent moved to public API beta May 28. Custom Skills feature added for reusable user-defined tasks. Connectors for SharePoint, OneDrive, Notion, GitHub, Linear, plus bring-your-own MCP support. Mistral Launched Vibe (unified work + code agent, replaces Le Chat). Acquired Emmi AI for physics-based simulation. Targeting €1B revenue in 2026; new 10MW inference DC announced. Hugging Face Launched an app store for the Reachy Mini robot. ~10,000 units shipped. Also reported a malicious repo masquerading as an OpenAI release that accumulated 244K downloads before takedown — r

I'll keep this brief. Most of us can write great code. The harder part? Finding clients who actually pay well and don't ghost you after the first message. I struggled with that for a long time. Then a few weeks ago, something clicked - and the two platforms that changed everything for me were LinkedIn and Reddit. Here's why they work: 🔹 LinkedIn - Real people with real budgets post here. It's less about cold outreach and more about being present and visible. Set up your alerts, keep your profile sharp, and let opportunities come to you. Patience pays off. 🔹 Reddit - Underrated, honestly. Yes, the lead volume is lower, but the quality is surprisingly solid. People posting in relevant subreddits are often genuine and ready to hire. Bonus: no geo-restrictions, so you're playing in a global market from day one. The secret sauce? Be in the right subreddit at the right time. That's genuinely it. If you've been sleeping on either of these platforms, give them a real shot. You might be closer to consistent freelance work than you think. submitted by /u/theonlyaswin [link] [留言]

I mostly use Claude Code, but lately I've been using Codex CLI and Codex.app (hereafter "Codex") more often too. My environment is macOS. However, after I started using mise in [2026-03-29-1] , I ran into trouble because Codex wouldn't use the mise-managed Ruby, Node.js, and so on. Here's the state I was in: $ where ruby /usr/bin/ruby $ ruby --version ruby 2.6.10p210 (2022-04-12 revision 67958) [universal.arm64e-darwin25] The Solution I solved it by adding the following to ~/.zshenv : # When Codex CLI and Codex.app run commands, .zshrc's mise activate zsh doesn't take effect, # so add mise shims to PATH. if [ -n " $CODEX_SANDBOX " ] ; then PATH = ${ XDG_DATA_HOME } /mise/shims: $PATH fi Here's the state inside Codex after the change: $ where ruby /Users/masutaka/.local/share/mise/shims/ruby /usr/bin/ruby $ ruby --version ruby 4.0.5 (2026-05-20 revision 64336ffd0e) +PRISM [arm64-darwin25] Codex's Command Execution Environment Is a Sandbox I'd vaguely suspected this for a while, but it seems Codex's command execution environment runs inside a sandbox. You can spot the clues from within Codex: $ env | grep CODEX CODEX_CI=1 CODEX_SANDBOX=seatbelt CODEX_THREAD_ID=019e7806-6025-7c13-a3c6-a70d41c13905 "seatbelt" refers to Apple Seatbelt, which appears to be macOS's sandboxing mechanism. 🔗 macOSで手軽にSandbox環境を構築できるApple Seatbeltの実践ガイド しかしながら、Apple Seatbeltは公式にドキュメントを公開されておらず、非推奨とされています。一方で実際には多くのアプリケーションやツールで使用されています。 (English translation) However, Apple Seatbelt has no officially published documentation and is considered deprecated. Yet in practice, it's used by many applications and tools. I see... According to this article, Claude Code also adopts Apple Seatbelt, and I confirmed that it can be enabled with /sandbox (see the official documentation ). Coming from a background of being used to Claude Code, Codex's sandbox is hard to wrap my head around, but the following article covers it in detail. Much appreciated. 🔗 [Codex] sandbox実行の仕組みと設定方法を完全に理解する Codex also seems to r