... 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

... hand 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 ... ... said it was 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

... 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

... paged for "can I create a file." Out of curiosity, would you actually want to approve from your phone, or just be told it's blocked so you can walk back to the machine? Trying to figure out how many people want full remote control 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

... needs, 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 ...

... 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

... 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

... cloud deployment using stablecoins (USDC/USDT), with no account registration, no API key, and no human in the loop at the point of transaction. The on-chain payment is the access control. The gateway is built on MPP (Machine Payment Protocol) and uses HTTP 402, the "Payment Required" status code that has been in the HTTP spec since 1997 but almost never implemented in practice. Full documentation: https://nodeops.network/createos... The problem When an AI agent needs to use a paid ... ... nodeops.network/createos/docs/MPP/Example Full docs: https://nodeops.network/createos... Testnet support (Arbitrum Sepolia) is available for trying it without real funds. What we are looking for Feedback on the protocol design. We think HTTP 402 is underused and that a standardised machine

... screen, and have Claude web on another to help out:)). I wanted a desktop app where you describe what you want and it builds it - websites, mobile apps, automations, internal tools. And you own the files on your machine. What makes it different: Works with Claude, OpenAI, Gemini, Groq, DeepSeek, Ollama - not locked to one provider (I tested with all of them, and I strongly recommend Claude). Bring your own keys, no markup. Local-first. Everything in SQLite on your ... ... machine

... this guide isn't just a quick summary. We're going to go deep. We'll explain exactly what Snaply is, how it works, why privacy matters so much for dictation tools, how it stacks up against every major alternative, who it's best for, and how to get the most out of it. Whether you're a solo professional, part of a team, or evaluating dictation software for an enterprise deployment, this is the most complete breakdown ... ... find. Table of Contents Why AI Dictation Matters in 2026 What Makes a Truly Great Dictation App What Is Snaply? Snaply's Core Features: In Depth Why Privacy Is Non-Negotiable for Dictation Snaply vs

... Instagram or Reddit profile to see their 'Music Receipt' the songs they've successfully shared with others Zero-Algorithm Discovery: See a real-time feed of what your high-taste friends others are actually listening to, not what a machine thinks you ll 'tolerate The Goal: I m looking for the first 500 "Founding Plugs" to join the community and grab their handles before the legacy [FNDR-500] badges are gone ...

... line to your Claude/Cursor/Windsurf/OpenClaw config your agent instantly accesses the full marketplace (browse, search, purchase, equip). True Agent Autonomy Self-register, discover lenses, pay via x402 micropayments (USDC, pay-per-request), equip all without you. First real machine-to-machine

... Cyber risk today is mostly documented in spreadsheets, PDFs, and slide decks formats that are hard to version, automate, or integrate with tooling. CRML (Cyber Risk Modeling Language) aims to represent cyber risk as  structured, machine-readable models  instead of documents. This allows risk scenarios to be version-controlled, generated by tools, and executed through simulations. Over time, CRML can become the  default contract format for sharing risk information  across organizations, industries, and nations without exposing ... ... intergalactic systems too. Tools like  CRML Code  exist to make this easier, allowing practitioners to generate and execute CRML models without needing to manually write the language. The goal is simple: make cyber risk  something machines

... what you're working on below and how you're going about it -- I'd love to connect for some quick calls to learn about your product and talk about your process in building it! Comment from Vihaan Kodiganti(@vsync_66): @ryan_hendrickson  Hi! My ultimate vision is a mental health app that does the following: Solves the problems of: 1. People not having anyone they trust/want to talk to 2. People not having (or not trusting) immediate access ... ... auth its just device id stored in keychain no accounts needed which keeps onboarding super minimal biggest challenge has been text extraction different sites block scrapers differently. revenucat for subscriptions has been great tbh, saves a ton of time vs

... hours/week saved. $0 subscriptions. I built the NeuraClaw Email Agent because I was drowning in email. 50+ emails/day 2 hours reading and replying Context switching destroyed my focus So I made an AI agent that lives in my local machine and handles email for me. ## What it does: Unified Inbox All emails in one clean, dark-themed interface AI Summary Every email summarized instantly AI Reply Suggestions Context-aware drafts in my tone Gmail Integration Send directly through my account ... ... Send via Gmail 10 hours/week saved. ## The stack: AI Engine: NVIDIA NIM + OpenRouter (auto-fallback if one fails) Reply Gen: Learns my tone from sent emails Gmail API: Native OAuth, secure, no data leaks Deployment: Runs locally on my machine

... zero saddle pain. Most fitness tech focuses on digital screens. We focused on the human frame . Traditional bikes force weight onto the pelvis and compress the spine. After 30 years of prototyping, we ve launched the Cardio Speeder a machine that turns a "ride" into a "flight." Why it s different: Orbital Mechanics: Upper body bars turn cardio into a true full-body HIIT session. Ergonomic Breakthrough: Eliminates the "hunched" posture of traditional trainers. Micro-Mobility Future: This ...