... Retrace records every LLM and tool call in an agent run, lets you replay it step by step like a video, and lets you fork any step to change the input and see how the run

... edit data in your database. Now, six years later, we have a whole new product , and again we're shipping... database editing. But this time it's a look into the future of how companies are going to be run. At the surface, this feature is kinda neat but nothing new. You can ask the Basedash AI to edit things in your database or call MCP servers to take action in other tools. But, being a BI product, Basedash ... ... business better. "If you extend this user's trial, they'll have a 50% higher chance of converting" "If you tweak your ad sequence with this copy, it'll increase conversion rate by 20%" One click to approve and run

... desktop hub for your local AI coding agents. With v0.7.10 it's no longer shaped only as a desktop app: the local server, launch layer, Desktop UI, Web Hub, CLI, and TUI are now separate pieces that can run and evolve independently so VibeAround can meet you from whatever surface you actually work in. Highlights Standalone server the VibeAround runtime

... 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 need a local runtime foundation to actually deploy, run

... Product Hunt! I'm a solo 17-year-old founder, and I built ShadowLoop AI to scratch my own itch. I was tired of the constant context-switching, manually running test suites, and remembering to stage and commit code every time things finally worked. ShadowLoop AI is a lightweight, single-file Python daemon that completely automates that cycle in the background. ### What it does: 1. Self-Healing Loop: The second you save a file, it catches the event, applies ... ... second debounce, and fires your test suite (`pytest`, `unittest`, custom scripts). If things break, it surfaces the exact error trace instantly so you can fix it. 2. Automated Version Control: The exact moment your tests pass, it automatically runs

... built 10 20 smaller products (each generating $10k $50k MRR) managed entirely by AI agents? The math works out, the risk is distributed. And you don't need to be a monopolist to win. Pieter Levels has been running this playbook for years, with multiple products each solving a specific problem for a specific audience. But what's changed is the cost of execution. AI agents can now handle customer support, content, marketing workflows, and increasingly even product iteration ... ... overhead of running

... side projects off your SSD instead of keeping 30 GB on disk because "setting it back up later is annoying." The problem I was solving I keep old repos around for bad reasons. Source is small; dependencies and Docker runtime aren't . A docker-compose folder might be 200 MB of YAML and 8 GB of Postgres + custom images. Zipping the repo never felt like a real archive. Docker project hibernation (1.6.1) For projects with a Docker Compose file, hibernation ... ... captures runtime

... Hello PH! I'd love to share a screenshot of the current version of RunEvr and get some feedback. RunEvr

... supporters at 29 dollars. Would love feedback from the dev community here. What would you want a tool like this to do next? Download here devcleaner.app Comment from Keesan(@keesan12): Building MartinLoop. It s for founders, developers, and teams running AI coding agents like Claude Code, Codex, Cursor, OpenCode, or custom agents in real repos. The hard problem we re solving: AI agents can write code, but they still run

... everyone We built OpenCut AI because we were tired of video editors that phone home. CapCut sends data to ByteDance. Descript uploads everything to AWS. Runway is cloud-only and credits-based. We wanted an editor that stays on your hardware. Here's what you get: AI that runs

... agents are becoming part of everyday development, but most repos still don t have a clear way to tell an agent what is safe to run, what needs to be checked first, or which commands are actually trusted. That gap is what we re thinking about with Ota: making repo execution knowledge explicit enough for humans, CI, and AI agents to follow without guessing. Curious how other teams are handling this today. Comment from Ahmad(@blah_mad): @faithada ... ... layer they cannot argue with. Comment from Ahmad(@blah_mad): The cleanest pattern I have seen is three layers: 1. Describe intent in repo docs. 2. Enforce dangerous actions outside the model. 3. Keep a receipt after the action runs

... plain markdown files that just live on my disk. No account, works offline. What actually makes it useful is linking notes together. My whole SlimSnap launch sits in one vault: roadmap, every customer question from launch week, a running log of what I posted where. They link so I stop re-deriving the same decisions every week. One catch. It's only as good as the habit. Empty vault if you don't write things down. But if you already ... ... Reflect @LM Studio Discord Comment from Thomas.(@tedavis): @busmark_w_nika  Had to be done! Comment from Thomas.(@tedavis): Recently it's been: Ferguson (my own landing page auditor, it's been insightful auditing so many landing pages!) VSCode

... desktop photo library app focused on local-first browsing, organization, People discovery, albums, maps, and metadata workflows. This release brings together several major improvements across recent versions: automatic People face clustering, multi-person groups, richer location workflows, improved map runtime behavior, large-library performance work, and a new internationalized UI with English, German, and Simplified Chinese support. What s new People, Face Clusters & Groups iPhotron can now scan your photo library for faces, generate face thumbnails, build embeddings ... ... evolves. Maps & Location Workflows Geotagged photos can now show map context directly inside the floating info panel. The app also includes improved location assignment workflows, background coordinate update tasks, better map source handling, OsmAnd search support, and stronger runtime

... loop stopped. Here s the debug, in roughly the order it happened. The first clue: silence Pods restart sometimes and we re used to that, but the weird part was how quiet these restarts were. Every Node.js service we run has a SIGTERM handler that drains connections, flushes a few in-flight jobs, and writes a tidy goodbye line to the logs. None of those lines were there. The process was just gone, and a fresh ... ... kind of self-imposed exit. An unhandled rejection writes a stack trace, and a graceful shutdown writes a log line. Both would be in BetterStack, and there was nothing. So whatever killed the pod didn t let it run

... action approval live at different altitudes. A per-action approval governs one decision in one run. A policy change governs many future actions across many runs

... VibeAround v0.6.11 is out. This release focuses on first-run setup, runtime

... data analyst to make it work for them. claribi.com is live now! Most analytics advice online is written for one of two audiences. Big data teams with a Snowflake bill and a Looker license. Or solo founders running everything in a Google Sheet. If you sit between those two, running

... Just shipped v0.26.0 , the biggest update since launch. The headline: Split Panes Split your window into a live grid and run four different agents from four different vendors at once, each in its own real terminal, next to your dev server and tests. - Different agents, one screen. Claude Code planning on the left, Codex implementing on the right, Gemini reviewing below, your npm run

... Most repos still fail in a strangely manual way. You run a command. It breaks. Then the real work begins: reading the error, searching the README, checking `package.json`, Dockerfiles, lockfiles, CI config, and asking someone who already knows the repo what the error actually means. That is painful for developers, but it is becoming an even bigger problem now that people are using Claude, Codex and other AI agents to understand, fix, and work inside repositories. For example ... ... agent is asked to fix a bug in an unfamiliar repo, it may need to know which setup steps matter, which command is safe to run

... Product Hunt I launched RunMySEO today. It s a local SEO workspace for agencies, freelancers, and small businesses that want to understand where a business actually ranks across a city. The problem I kept seeing: A business can rank well in one part of a city, then disappear a few streets away. Most SEO tools don t make that obvious. So RunMySEO

... everyone! Three major features just landed in OpenCut AI and they all run locally on your machine. 1. AI Co-Pilot Agent This is the big one. Tell the editor what you want in plain English and it creates a step-by-step plan, then executes it. Examples: - "Make this a 60-second vertical reel with captions and trending music" - "Remove all silences and filler words, then normalize audio for YouTube" - "Add cinematic color grading and auto-duck the background ... ... describe your goal 2. The AI analyzes your current project (tracks, clips, transcript, duration) 3. It returns a multi-step editing plan with 19 possible action types 4. You review each step, then click Execute 5. Steps run

... Self-becoming is an experimental open-source runtime that connects a long-running

... founder of Challenge Run. I built it because I finished a great run

... highest cost is not the engineering budget. It is taking engineers away from building new features to fix old systems . The AI Factor: Accelerating the Problem AI coding tools (Claude, Cursor, Copilot) have lowered the barrier to "getting something running" to an unprecedented level. They have also significantly advanced the arrival of "slow death." The code generated by models often seems usable. It even works. But it accumulates technical debt faster and makes it harder to judge quality . The creativity ... ... prevent you from finding product-market fit. The most cost-effective investment is made before writing the first line of code: spend two weeks on architecture. Scale mindset: Ask "what will break at 10,000 users?" not "can it run

... GenseeAI is a cloud platform that lets you run AI agents without managing infrastructure. Instead of setting up environments, connecting tools, and debugging configs, you can start from ready-to-run