... same wall at a much smaller scale. Murmell is currently two people and a lot of coding agents from different providers on one monorepo, and the agents had stopped being the slow part. Every change waited for a pull request and a CI run, rebased on a main that had moved, and two agents on the same file ended in a conflict someone had to settle by hand. So we built AVP (Agent Versionning Protocol), and it's open source ... ... main in seconds; if the line moved, the task is replayed on it and proven again. Every landing is still an ordinary Git commit, so GitHub and your deploys don't change. On our repo, CI runs for pull

... several, maybe even dozens, but curious to see who here has to pull from the largest number of data sources a) <5 b) 6-20 c) 20+ d) My life is easy - I have everything in a giant spreadsheet ...

... brand voice. Product and content teams submit content from their own tools, while the localization team runs the localization infrastructure. The CLI . Engineers use lingo push to submit source files through the localization engine's configured pipeline. lingo pull writes the completed translations to local target files on the same machine and checkout. Studio lists each submission with its status by language. The GitHub App . When source files change on the default branch, the app translates the changes and opens ... ... pull

... backdrop, a violet Open Netfox button, round glass buttons Rings fill and numbers roll into place, the public IP included, and they play again on every refresh The Netfox 0.25.0 menu bar panel, all glass On macOS 27, pull a view down to refresh it, as in Mail: the Overview reads devices, public IP and VPN again, Wi-Fi scans right away, Devices does what R does, Security runs its scan The spinner holds a moment and lets go while ... ... Overview: glass cards, each in its tool's colour Also fixed: in the panel, the Public IP card sat a few points lower than Alerts beside it Try it / see what's new: https://netfox.app Which view would you pull

... When an AI agent creates a pull request, I usually want to check the diff, tests, error handling, and whether it followed the existing project patterns before merging. I m curious how other developers handle this. Do you review AI-generated PRs differently from code written by another developer ...

... Thursday, September 17, at 4 PM UTC / 9 AM PST . In this workshop, @bookercodes and @suhdudeitsabhi will build a Factory, connect it to a real repository, and show how agents move an issue from initial investigation to a reviewed pull request. They'll also take you inside Shipyard, their own software factory. Over one three-week period, Shipyard authored more than a quarter of the pull

... curious whether "launch on the weekend" is actually good advice or just a myth people repeat. So I pulled every Product Hunt launch from Jan 1 to Sep 1, 2026, 4,962 launches across 244 days, and looked at how many points it actually took to hit #1, top 3, and top 5 on each day of the week. Some of it confirmed the myth. Some of it didn't. The gap is bigger than I expected Saturday needs ... ... break top 5. Thursday needs 235. That's a 70-point gap just from picking a different day. Weekends aren't just easier, they're way less crowded Tuesday averages 30.4 launches a day. Saturday averages 10.7. Fewer competitors

... Watched a product go from "hoping to get featured" this morning to #1 by this afternoon, and paid attention to what actually pulled people into the comments instead of just counting upvotes. The single comment that got the most reaction wasn't a pitch. It was the founder admitting a real gap straight up, saying a part of the product wasn't built well yet. That pulled

... workflow asks for contents:write and reads two secrets, and it is correct it fires on a tag push, so only someone who can already push tags can reach it. What scores is power reachable from untrusted input: a pull_request_target workflow holding your secrets, or a self-hosted runner an outsider's pull

... Been meaning to do this properly instead of just going off gut feeling every time my usage bar turns orange. Pulled together what I could find from benchmarks and my own week of switching between tools, and a few things genuinely surprised me. The efficiency numbers aren't close, and not in the direction I expected. One widely cited test had Claude Code completing an identical multi-file feature task using around 33,000 tokens with zero errors , while Cursor ...

... about this part. That's basically what we built with the @aicf handle. It's a custom instruction system baked right into AI Context Flow, you just add it to your prompt and tell it exactly what context to pull. Made a quick tutorial walking through 3 examples we actually use ourselves: 1 Pulling

... surprising amount of time. Comment from Ghost Kitty(@ghost-kitty-9822291): Comment Deleted Comment from Howth Technology Factory(@howth_technology_factory): I'm very new to it all, completely lost but loving it. so far iv managed to pull together a few basic desktop apps , all worthless but still fun to build. And yes I am completely lost with the platforms and what they are actually doing most the time. and then the dreaded updates :) Comment from Omri Ben-Shoham ... ... told me not to wait for confirmation on anything reversible, just keep working and log everything for review later. The bottleneck you're describing didn't disappear, it just moved earlier: instead of solving "how do I get pulled

... Wanted to share some data before our own launch, since this took a while to pull together and might save someone else a bad launch day pick. We pulled

... what it actually does: It sees your screen and acts on it Not summarizes. Not suggests. Clicks, scrolls, fills forms, and navigates any page, on its own. It builds Google Sheets and Docs from scratch "Make me a competitor pricing table with graphs." It opens the tabs, pulls

... tripled our effective token spend on the same traffic. Thankfully, a monitor in Latitude was watching that rate and the drop opened an incident which, in turn, dispatched Claude Code in the cloud, and a few minutes later a pull request appeared that restored the cache structure the refactor had broken. A developer reviewed the change, merged it, and the hit rate recovered within the hour. Without that loop, a regression like this tends to pop up weeks later ... ... engineer would, reading the Signal and its trend, slicing occurrences to find where they concentrate, and reading the failing conversations, then it fixes the agent's code or prompts, runs the project's checks, and opens a pull

... changed my mind because a meeting note from march said X" is only useful if the memory can point back to march. Comment from Rahil Pirani(@rahilpirani): To clarify the sync flow: once your Notion workspace is connected, you pull individual notes into Second Brain by opening the page in Notion, clicking the menu, and selecting add connection to Second Brain. Subpages automatically connect when the parent is connected. So the workflow is workspace setup first (one-time), then ... ... selectively bring in notes as you want them. No bulk import needed. You re not starting over. You re pulling

... Problem Dropshippers and e-commerce sellers spend hours manually researching competitors checking their ads, estimating revenue, tracking SEO, and collecting winning creatives. It's time-consuming, fragmented, and takes away from actually growing their business. What I'm building Paste your store URL (or a competitor

... Cursor: Settings > Plugins > Import from Repo What ships: 4 skills: scenario-creator, scenario-refiner, session-analyst, and getting-started 26 MCP tools: scenarios, sessions, analytics, SIP calls, meeting bots, collections What you can actually do with this: "Pull the last 3 lost deals from Gong and create a practice scenario for the pricing objection." "For the Enterprise Discovery Call scenario, pull

... what you want in plain English. It writes the code. Here is what I actually use it for. 1. Full account audits in minutes. Feed it raw data. Get a client-ready brief back. 2. Automated weekly client reports. Pulls data, builds tables, emails it I do not touch a thing. 3. Budget pacing and overspend forecasting. Projects end-of-month delivery. Flags blown budgets early. 4. Creative performance breakdowns. Ranks every ad by ROAS, CTR, CPA across both platforms ... ... sets cannibalizing each other. 7. Search term mining and negative keyword lists. Finds the negatives I should have added last month. 8. Landing page and tracking QA. Checks every URL and pixel fire in the account. 9. Competitor

... future updates - each format deserves its own reading logic - but right now the priority is doing comics right. Reading that respects the medium (free) Full-screen reader with horizontal, vertical, and dual-axis modes Ambient mode - soft background color pulled from the page art Deep zoom, smooth page turns, pull

... analyzing it. Not acting on it. Just pulling the numbers together so you can have something to look at. Open GA4. Screenshot the traffic. Switch to Google Ads. Check the spend. Pull

... nolan_vu): @samuelcrotti  Real pain point, props for tackling it head on. Ran a small Shopify store for a bit and the ad spend vs actual profit math was always a mess of half-updated spreadsheets, never trusted the number by the time I looked at it. If Margn can pull

... Claude, Cursor, and Windsurf are already part of many designers' workflows. But until now, they had a critical blind spot: they couldn't access your actual brand assets. They'd guess hex codes, describe logos in general terms, and pull outdated colors from training data. Sinqlo's MCP integration closes that gap. Connect it once and your AI agent becomes a fully capable brand asset management tool returning exact color values in any format, font names and weights, and Smart ... ... download exactly what they need from Sinqlo, always current. Brand consistency matters:  Companies with inconsistent brand presentation lose up to 23% of potential revenue. AI agents connected to live brand asset management software help enforce consistency by always pulling

... been following along and want to support us, we d really appreciate a GitHub star: https://github.com/ota-run/ota A pull request can change more than code. It can add a dependency, require a new env variable, change a setup step, or make a command depend on a local service. But those changes are easy to miss in review until someone clones the repo later and hits a blocker. That s one thing we re working on with Ota. Ota brings ...

... alternative of MS Office / G-Suite ) all AI native 2. Perplexity - for deep research and learning 3. Claude - for product development and marketing 4. Wisperflow - for ease of typing 5. Product Hunt :) @busmark_w_nika and @product Comment from Maria McGinn(@mariabuildsbriskly): My 5 from a UX Designer Dovetail - Amazing for analysing user interviews and feedback quickly. Also if you work in a complex domain it simplifies things very well. You can just chat to it and it pulls