... invoices, installers nobody deleted, a file named "untitled" all piled in one folder. This chore lives outside every app, which is why Happycapy has a layer no other agent does: paste one command and your Mac, Windows, or Linux machine is connected. Happycapy can organize files, run scripts, and edit documents right where they sit. "Tidy up this folder group by type, and don't delete anything without asking." Check the last folder: the suspected duplicates weren't deleted they ... ... Microsoft Teams read chats and channels, post for you Jira read issues, file new ones, update status Add your inbox (Capy Mail) and your own computer (Mac, Windows, or Linux), and you get three layers: apps, email, and your machine

... years by people who cared about how it feels to use. Dark, considered interfaces. Whitespace that isn't accidental. Content that is the product, not decoration bolted onto a spreadsheet. The short answer to "what's the best LinkedIn alternative in 2026" is this: builders aren't looking for another feed. They're looking for a professional network that was actually designed, not just maintained. That's the gap forg.to is built to close. Here's why the gap exists ... ... total sample. It gets more specific. Pangram found that LinkedIn users tend to go all-or-nothing with AI only about 4% of flagged content was AI-assisted or lightly edited. The rest was either fully human or fully machine

... which model benchmarks best. Which one is actually open on your machine right now? And what did it replace? One thing I noticed this week: almost everyone on our team has independently converged on Claude. Nobody coordinated it. It happened one person at a time. Some of us are technical. Most aren't. We still ended up in the same place. I actually think we found the best workflow. The only thing I can't tell is whether we arrived ... ... there independently... ...or whether we all read the same corner of the internet and naturally converged on the same tools. Curious what everyone else is actually using: What's open on your machine

... built LocalAGI to make that stack usable as one desktop app. You can give a task to a team of agents for research, browser automation, image or video creation, while keeping models on your own hardware. If one machine is too weak, a trusted computer can provide compute through an end-to-end encrypted private network. The part I m most excited about is Hive Mind: it splits one model across multiple machines

... want you to be the ones who tell me. Here's what it actually is. I still remember Office Depot. Walking the software aisle, boxes on the shelf, flipping one over to check if it would run on my machine. You paid once. You brought it home. It was yours. It ran on your hardware, it didn't phone anyone, and nobody raised your price at renewal or locked your own files behind an expired card. We gave that ... ... somewhere and barely noticed. There's a monthly fee to take notes now. A monthly fee to edit a PDF. A monthly fee for software already sitting on your hard drive, doing math your machine

... currently tackling, and we d love to get your feedback on how you're navigating it. The Last-Mile Bottleneck: AI has no hands AI agents are brilliant at writing code, but they are "physically disabled" on your local machine. When an agent writes a full-stack app, it stops and tells you: "Please install PostgreSQL, configure Nginx, bind a domain, and set up SSL." Suddenly, the developer becomes the manual "laborer" for the AI. We realized that AI agents ... ... models. Most solutions are cloud-based, which developers hate because they don't want their keys or code passing through a third-party server. We are currently building ServBay AI Gateway a local-first gateway running entirely on your machine

... Better stability on Macs with less memory Large syncs and first-time imports used to be able to overwhelm machines with limited RAM emails were processed all at once, which on an 8 GB Mac could push the system into heavy swapping and slowdowns. Email processing is now paced to stay light on memory regardless of how many messages are queued, so your inbox keeps filling in without freezing the rest of your system. On-device AI tuned to your ... ... machine

... years, so I've watched what actually fills real developers' drives, file by file. Posting this because the standard advice storage is cheap, just buy more quietly skips the most useful 20 minutes you'll spend on your machine all year. Here's what a full disk is actually telling you. When the drive fills, the system hands you the most honest inventory it has all year: every cache, every node_modules, every Docker layer and DerivedData folder you forgot ... ... runtimes for OS versions you dropped two years ago Homebrew, pip, and npm caches Old .app builds parked in Downloads Each arrived a kilobyte at a time, below the threshold where a single write is noticeable. On a dev machine

... appear in Google's top 10 organic results for the same query . Roughly 92% of top Google results do not appear when AI answers the same prompt. The SEO playbook does not carry over to GEO. The two targets: machine and human We are rapidly moving from an era of "humans who browse" to "agents that transact" . Consumers will increasingly stop searching for products themselves and instead delegate the task to AI . When a consumer asks ... ... data, not necessarily brand sentiment. This forces a strategic pivot from traditional SEO to Generative Engine Optimization (GEO) . Success is now measured by brand citations and the share of traffic generated by LLMs. Brands must ensure their content is machine

... Compose alongside the rest of the stack OpenCut AI is a fully local AI video editor Whisper transcription, TTS, image gen, and LLM editing assistants, all running on your own hardware. No cloud, no subscriptions, no data leaving your machine. Open-source & self-hostable: https://github.com/Ekaanth/OpenC... We'd love your feedback what would you want to search your footage ...

... Many people are still using good 'ol Gmail. It's comparable to the 1900s, when washing machines were first mass-produced. Even though there were good washing Machines

... clips - Audio effects chain (EQ, compressor, reverb, de-esser, limiter) - LUFS loudness normalization for YouTube/Spotify/podcasts - Beat detection with snap-to-beat - Batch export with 8 platform presets 30+ languages including 22 Indian languages via Sarvam AI unmatched by any competitor. The whole stack is open source (MIT). Self-host on a $20/mo server or run it on your laptop. One `docker compose up -d` and you're editing. No accounts, no subscriptions, no data leaving your machine

... them? Most teams I talk to would produce a PR link, maybe a Copilot usage dashboard, and a verbal description of their review process. No record of which model generated which function, no risk score at insertion time, no machine-verifiable proof that a human reviewed the AI context rather than just the diff. We just shipped an indemnity certificate system in LineageLens. You define a policy (max risk score, allowed models, require human review, license clean), call an endpoint ... ... reviewed." It's a cryptographic statement tied to the capture records that existed at the time. What I'm genuinely curious about: what does your team produce today as evidence when AI code ships? Is there anything machine

... Cursor: coding Supabase: backend and auth Vercel: hosting GitHub: version control Google Search Console: SEO Campix: my own project, camp software, yes I'm biased Comment from Hans Desjarlais(@ismaelyws): Gmail Calendly Claude Code Google Docs & Sheets VS Code Comment from Bill Davis(@billspaced): @nolan_vu  Slack, not because I love it but because everything dies without it. YESSSSSSSSSSSSS Comment from Bill Davis(@billspaced): @riya_pariyar   @benfleming   @asapx  same question... never heard ... ... solo founder, these are the five tools I use almost every day: ChatGPT VS

... edge of that machine and never reaches your phone, and the payload is just a $MESSAGE string, it tells you something happened but not whether the agent finished clean, got blocked, or what it changed. It's a doorbell. It rings the same whether it's a package or a fire. That's basically the gap Pushary fills, same hook idea you've already wired, but the event carries a real handoff (done vs

... utility feature. See local servers. See active ports. Open them faster. Kill them faster. Then Build Watchers happened. Suddenly Room Service was not just showing files and cleanup opportunities anymore. It started understanding active developer workflows happening across the machine. Now we added Simulators. And honestly, this feature changed the feeling of the app again. You can now: See running simulators Launch installed simulators directly Restart them Stop them Copy names / IDs Get notifications when new simulators boot Manage simulator ... ... isolated tools anymore. They are connected parts of one developer workflow. That is the direction Room Service is slowly moving toward. Not: a Mac cleaner for developers More like: a visibility and operations layer for your dev machine

... copy a Hugging Face model ID, spend 2 hours setting things up, and then watch it fail because your VRAM was off by a few GB? Yeah. We've all been there. oneinfer-edge now tells you if your machine can run any Hugging Face model before you deploy. Paste a model ID, it scans your GPU, VRAM, OS, and serving libraries, gives you a Hardware Ready verdict and full memory breakdown (weights + KV cache + serving overhead). No surprises ... ... contributions on that front are very welcome. oneinfer-edge is part of the broader oneinfer.ai inference control plane, a platform built for teams shipping multimodal AI products at scale. oneinfer-edge brings that same infrastructure intelligence to your local machine

... your Kahana account. How to navigate it: Browse or try constrained demos  signed out  if the product allows it. Open the in-panel  Auth  screen and sign in when prompted. Sign out  on shared machines. The UI should return to auth instead of a stale guest layout (see our welcome-back doc). Some  local data  (hints, training progress) may remain until you clear browser storage. Note:  Exact guest allowances can change with ... ... /docs/welcome-back-after-sign-out  |  https://kahana.io/docs/chat-hist... Questions we would love your take on: Try before sign-up How much should guests get without an account before it feels like a crippled demo? Sign-in prompts When should Oasis block vs

... local server was stopped. A watcher process exited. A project issue was fixed. A repository was refreshed. A warning no longer applies. But the UI still acts like the old state is current. For tools that monitor developer machines, freshness matters as much as detection. It is not enough to surface a problem once. The product also needs to understand when that problem has changed, disappeared, or been resolved. That is something we have been improving in Room Service. Smart ... ... Advisor, Projects, Dev Ports, Build Watchers, and the menu bar all need to agree on the current state of the machine

... significant things are circulating on the internet simultaneously this week: A tweet about how a human beat a machine (a 10-hour livestream in which a human sorted packages and compared it to the productivity of a robot). Or an announcement of a Microsoft AI chief that predicts AI will automate most white-collar work within 18 months. While I don't think there will be a complete replacement of humans in either case, I do think we will ... ... already be partially automated with AI. Blue-collar work is physically harder to replace at scale because robotics is expensive, slower to deploy, and depends heavily on real-world environments. But I don t think it becomes humans vs

... which setup steps matter, which commands are safe to run, what success looks like, and what should happen when something is missing. Ota is our attempt to make that working state explicit through a readiness contract: a human-readable, machine-readable way for a repo to define the path to a trustworthy working state. The goal is not to replace package managers, Dockerfiles, CI workflows, dev containers, or setup scripts. It is to make the meaning behind them clearer ...

... Road to 1,000,000 Votap users Day 74 | Current: 1354 I accidentally invented a time machine? Still deep in the Votap Premium update, and this might be one of my favorite features so far. I completely redesigned politician profiles and rebuilt the charts system. You will be able to view sentiment history by day, month, or year using candlestick charts. But the coolest part is this: You can tap any candle and jump back in time ...

... Road to 1,000,000 Votap users Day 74 | Current: 1354 I accidentally invented a time machine? Still deep in the Votap Premium update, and this might be one of my favorite features so far. I completely redesigned politician profiles and rebuilt the charts system. You will be able to view sentiment history by day, month, or year using candlestick charts. But the coolest part is this: You can tap any candle and jump back in time ...

... agents and forgetting manual Git commits during rapid iterations. Git is great for milestones, but it fails as a real-time safety net. So, I built LocalHub . It s a 100% local, background version control system that runs inside VS Code. Here are the core facts about the architecture: 7 Smart Triggers: It automatically snapshots files on save, tab switch, editing pause, focus loss, and external changes. No git add or git commit needed. Agent Diary (AI Protection): It logs ... ... agent hallucinates, you can instantly roll back. Ultimate Recovery: We built dedicated trash bins for everything deleted files, "Zombie Branches", and even rejected code blocks. You can restore any dropped line of code at any time. Time Machine

... Room Service 0.9.0 moves the product further in a direction I care a lot about: helping developers understand and manage what is happening on their machines. The biggest addition is Build Watcher monitoring. Project-backed watch and build tools can now surface in Room Service even when they are not attached to a local port. That means CPU and RAM-heavy processes from things like frontend watchers, build tools, and local toolchains are easier to notice before they quietly ... ... machine