... been iterating on DevCleaner - a Mac menu bar app that scans dev junk (Xcode DerivedData, simulators, node_modules graveyards, Docker/OrbStack/Colima bloat, Homebrew caches, AI tool caches

... addressable from code through the Localization Engine Suggestions API https://lingo.dev/docs/api/engin... free-text feedback like the German copy sounds too stiff goes in the same way and returns the same kind of structured suggestion. Also this week: Prompt caching. The stable parts of every translation prompt system prompt, instructions, brand voice now reuse the LLM provider's prompt cache

... menus, and app-themed popup guardrails have also been improved for a more consistent desktop experience. Packaging, Runtime & Reliability This release also includes expanded packaging work for Windows and Linux runtimes, better packaged face-scan diagnostics, People cover caching, thumbnail cache

... meant 30 separate requests. Quota burned fast, code got messy. No timeseries. Need rates over a date range for a chart or accounting reconciliation? Good luck stitching together 90 individual daily calls. No transparency. Is this rate fresh or cached from 6 hours ago? No idea. The response just gave me a number. No source, no timestamp, no cache

... memory. The PEEK angle is the more interesting half, because an orientation cache that holds only the most valuable details and reshapes as the project changes is solving a strictly harder problem than progress-tracking. The .md answers "what have I done." PEEK answers "what do I need to be oriented right now," which is dynamic, the valuable set changes as the codebase moves, so the cache

... second rain track, it breaks your flow state instead of sustaining it. To solve this, I built NeuralFlow on the Google Play Store. The Tech Under the Hood: Dynamic Asset Streaming: Audio layers are streamed dynamically from Firebase and cached locally. This keeps the initial app size under a few megabytes while allowing the sound library to scale infinitely without bloating device storage. On-Device Audio Layering: Once cached

... email blocking Admin pagination Dynamic OG images Context Retention Manus remembers the entire project. I don't have to re-explain: Database schema File structure Existing architecture It already understands how everything connects. It Handles the Boring Stuff Database migrations. Cache-busting query strings. CORS issues. Meta tags. All the tedious engineering work that normally slows projects down just gets handled. It Catches Things I Miss I noticed spammers were still bypassing my email blocking system. Manus analyzed the database ...

... real problem: my Mac was a mess. My Downloads folder had thousands of files. The Desktop was cluttered. Old DMG installers were still sitting there. Duplicate files were taking up space. Developer folders like node modules, Flutter projects, Gradle cache, and Xcode archives were quietly eating storage. And honestly, I didn t want to spend hours cleaning it manually. Rules-based tools like Hazel and Finder Smart Folders are powerful, but they still require you to decide the rules upfront ... ... also added: Magic Rename Rename files based on their content using local AI. Your file content stays on your Mac. Fully Free System Cleaner Find and clean duplicate files, DMG installers, unused apps, node modules, Flutter projects, Gradle cache

... same loop copy snippet, switch tab, paste, go back, copy something else, switch tab again. For screenshots it was even worse: download the file, drag it in, hope the upload works. This context-switching friction adds up fast. What CacheTray does: - Automatically captures everything you copy code, text, links, and screenshots the moment you copy it - Stores it all in a sidebar organized by workspaces - Lets you select multiple items and send them directly into Claude or ChatGPT ... ... summarize or synthesize without losing your place Writers & content creators stashing reference material, tone examples, and notes while browsing, then pulling them all into a single AI prompt Designers & PMs capturing screenshots of UI references or competitor

... local repository is rarely just source code. Over time, it becomes a mix of source files, Git history, dependencies, generated build output, caches, logs, assets, local databases, framework artifacts, and tool-specific folders. That makes project size surprisingly hard to reason about. When a repo grows to 10 GB, 30 GB, or more, the first question should not be: What can I delete? It should be: What is this project actually made of? That idea became Projects in Room Service ... ... Projects gives local development folders their own workspace. It scans repositories and breaks them down into meaningful groups like Git data, dependencies, build outputs, caches

... mouse button click to quickly delete attachments in the chat input area. Added a toggle option for automatic chat title generation. When manually checking for updates, error reasons will be prompted if network or server anomalies occur. Added a caching mechanism for the MCP plugin tool list. Improvements Tool execution and confirmation UI are now directly embedded in chat flow rather than interrupting with dialogs. You can switch chats or abort operations at any time. The assistant's deep thinking ... ... time connections (#232). Optimized format compatibility when importing MCP tools from JSON. Improved the compatibility of OpenAI Chat Completions. Optimized the loading process of system tray icon upon application startup. Optimized time parameters in system prompts to increase model cache

... OpenCut-AI just shipped real GPU support for TurboQuant KV cache compression. OpenCut-AI is an open-source, local-first AI video editor. Everything runs on your machine transcription, voice cloning, image generation, LLM commands. No cloud, no API keys. The catch was always memory. Running a 7B LLM + Whisper + TTS + Stable Diffusion locally means fighting for every gigabyte of RAM. TurboQuant solves this by compressing the KV cache

... Hunters We just shipped Google Gemma 4 support, paired with our TurboQuant KV-cache compression engine. That means you can now run Google's any-to-any multimodal models directly inside your editor no API keys, no cloud, no data leaving your machine. What's new in this drop: Full Gemma 4 family wired into the hardware-aware model registry: - Gemma 4 E2B (5B) fits in ~3.5 GB, runs on 8 GB laptops - Gemma ... ... sweet-spot for Pro tier - Gemma 4 26B MoE (4B active) big-model quality, efficient inference - Gemma 4 31B Dense top-tier quality for 24 GB+ GPUs TurboQuant KV-cache

... iterating on Room Service quite a bit recently and wanted to share a quick update. As more people started using it on heavier dev setups, a few patterns became really clear: Docker cleanup needed to be more structured Browser caches were taking more space than expected Reviewing what s safe to delete still needed better control So the recent updates focused mostly on that. Added a dedicated browser cleanup category (Chrome, Brave, Edge, etc.) with clearer separation between cache

... laptops, so they were stuck with tiny 1B models that gave mediocre scripts, slow commands, and limited context. What TurboQuant does TurboQuant implements two algorithms from Google Research paper PolarQuant and QJL. That compress the KV cache (the biggest memory bottleneck during AI inference) by up to 6x with mathematically proven quality preservation. In plain terms: your AI models now use a fraction of the memory without getting dumber. Before vs

... Chrome, so... yeah). I've been heads down building for years and basically ignored every "how to launch on Product Hunt" checklist that exists. What I did do is build something I genuinely believe has never existed before. Cachee.ai is the world's first cache

... your current metrics against the equivalent previous period: Cost per Session: Are you spending more or less per conversation? Cost per Message: How efficient is each interaction? Tokens per Message: Is your context window staying clean or getting bloated? Cache Hit Rate: Are you effectively reusing cached

... Major update alert! Context Sync v0.6.0 just dropped with some incredible new features: What's New: VS Code + GitHub Copilot support (our most requested feature!) 2-5x faster database operations File size safety limits (no more crashes) Real-time cache

... powered. Rule-based. Minimal integration. --- 1. What s this about? We built a drop-in middleware that prefetches, caches, and accelerates your API responses without touching your database or front end. Just put it between your API and DB. 2. Why we built it Modern apps hit the same endpoints again and again. So we asked: > What if we could serve responses before the client even asks? Answer: Prefetch + Cache

... tips would be amazing! Anyway, I just wanted to introduce Divhunt, and maybe someone will find it interesting and want to check it out. Divhunt is a website builder for professionals. The most similar alternative is Webflow. Divhunt is founded and developed by 3 guys. We started development in 2020 and launched the beta version in 2023. So far, we have 20K+ users. We were an LTD product until January 2025, so we don t have ... ... powerful animations using timelines, trigger events and actions. It s not limited to animations it can perform more JS actions like manipulating classes, changing text, redirecting URLs, etc. REST API Turn any CMS into a headless setup visually. Fetch, cache