... additions on the Repos tab that turn it from a passive listing into a dashboard you actually live in. CI status, at a glance Every Repos

... Most repositories are built for people who already know them. The maintainer remembers the setup step that matters. The team knows which script to run first. Someone understands why the README says one thing but CI does another. The repo

... does getting a repo running still feel so fragile? You clone a project, follow the setup steps, fix a few environment issues, and eventually reach the point where everything works. Then a few weeks later, it doesn't. A dependency changed. A script drifted. A setup step was missed. The repo

... biggest UX shift since I shipped octoscope. The drill-in pattern I prototyped for Repos in v0.10.0 now works on PRs and Issues too and it's bound to Enter , the universal TUI gesture for "go deeper". What you get when you press Enter on a row: PRs state chip (Open / Draft / Merged / Closed), markdown-rendered description, reviewers (requested + completed), checks summary, files changed, recent commits, labels, curated timeline. Issues state chip, markdown-rendered description, assignees, recent comments, labels, linked ... ... ones that would close the issue when merged), curated timeline. Repos

... 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

... Hunters! Quick update on octoscope, the cross-platform terminal dashboard for GitHub. v0.10.0 just shipped and it's the first release where the app steps beyond "summary dashboard" you can now drill into a single repo / PR / issue without leaving the terminal. What's new: Action menu press space on any row of Repos

... same quiet fear: "I think we're doing okay but I don't actually know." Not because they didn't care. Not because the data wasn't there. It was there. Sitting across 3, 4, sometimes 5 different reports inside their software. But nobody had time to piece it together mid-week. So they'd check it on Friday or Sunday night and realize the week had already gone sideways. And by then, next week was already affected. That pattern ... ... bothered me for a long time. So I started building something. Not a dashboard. Not accounting software. Not another report

... aimed towards people in fitness groups that share their daily or weekly (monthly and yearly!) updates to groups for their steps/calories/weightloss etc but also those who do workouts together that want to share their workout reports. I think the report

... WordStar). Switch via --theme NAME, the theme key in config.toml, or live with / in the in-app settings panel instant, no reload. Stars + Forks card fixes a long-standing GitHub stats blind spot: stars on your forked repos. GraphQL's default repo

... using Magic Patterns as a Connector within Magic Patterns. Simply connect the Magic Patterns MCP as a Connector , then share any Magic Patterns link in your prompts. Learn more about Cross-Project referencing . Usage Reports Business and Enterprise workspaces can open Usage Reports

... Repos tab every owned non-fork repository

... LogicGapAI The white-label isn't a "slap your name on it" feature. Set your logo URL, primary + secondary hex colors, and font family in settings. The PDF renders entirely in your brand headers, section titles, accents, everything. The report the client receives looks like something your team spent a day building. Make sure you check it, on LogicGapAI Show case of the Report

... Most agencies are missing a huge blind spot in their client reports right now. Not because they are bad at their job. Because the game changed and nobody sent a memo. More and more of your clients customers are skipping Google entirely. They go straight to ChatGPT or Perplexity, ask a question, get an answer, and click the brand that gets mentioned. If your client is not getting mentioned? They are losing leads they do not even know exist ... ... spent the last few months figuring out how to track this properly and turn it into a service agencies can actually sell. Not some complicated AI audit. Just a simple monthly report

... been building my app for 8 months now, and i ended up having 5 repositories nextjs app databases customer facing API node-sdk that wraps the api react-sdk, for both reusing shared component and customer facing components So i thought, it's gonna be great if i create a mono repo

... coding agents were driving me crazy. same mistakes over and over, switching models and rewriting prompts didn't help much. so I flipped the question if I can't fix the model, maybe the problem is my repo? to figure this out I dug into Claude Code ... ... internals, went through 265 versions of its system prompt to see how it evolved, read a bunch of papers on instruction-following, and tore apart a lot of open source repos

... 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

... After working with multiple marketing accounts, I kept running into the same issue: Reporting wasn t hard because of data collection. It was hard because: clients didn t fully trust the numbers small fluctuations created unnecessary panic and most of the time went into explaining results, not improving them We had dashboards. Good ones. But they didn t answer the real question: What should we actually do next ... ... started building something different less focused on visualization, more on turning performance into: clear decisions (scale / hold / reduce) structured reasoning client-ready explanations Still early, but I d genuinely love feedback from people dealing with reporting

... Average monthly retainer for AI visibility audits 1,200 2,500 Average monthly retainer for ongoing AI visibility + content 2,500 5,000 First-mover advantage is real. The agencies offering this now are locking in clients before competitors even know the category exists. Service Model #1: The One-Time AI Visibility Audit What it is: A comprehensive audit showing where the client appears (or doesn't) across ChatGPT, Google SGE, Perplexity, and Gemini. Deliverables: 20 50 keywords analyzed Screenshots ... ... actual AI answers Competitor

... marketing problem. They think: "Let the SEO team handle it." Here's why that's wrong: Your product is being evaluated by AI every single day. When potential users ask: "What's the best tool for [your category]?" "Alternatives to [competitor

... Rankfender , we've identified clear patterns. Certain content types get cited 3x more often than others. Here are the 7 content types that win AI citations with real examples you can steal. First, the data: Content Type Citation Rate (vs. average) Best For Comparison pages 3.2x higher "X vs

... built Nuwtonic , industry's first Fully Agentic solution for SEO , GEO , AIO , AEO under one platform having 120+ SEO and AIO capabilities and several Multi agentic pipelines , which does not Only report data and issues , It goes beyond and Fix it for your brand and bring a ton of traffic . Most founders don't lose traffic because they stopped doing SEO. They lose it because nothing connects. The execution layer is broken. After spending a lot of time deep ... ... knowledge isn't the problem. There's no shortage of SEO advice. The problem is the absence of an execution system. So that's what Nuwtonic is. The industry's first Agentic AIO / SEO / GEO / AEO platform. Not a reporting

... Hello ProductHunt community, I am currently developing a service that combines Agentic E2E Testing with Automated Triage (Fail Reporting) , and I would love to hear your honest feedback. Demo/Showcase Introducing Jaebau The Problem Traditional E2E testing often leads to two major headaches: Maintenance Hell: Test scripts break with every minor UI change. Triage Fatigue: When a test fails, it takes too much time to determine if it s a real bug, a network glitch, or just a flaky test ... ... agents navigate your app like a real user, making tests more resilient to UI changes. AI-Powered Triage: When a failure occurs, the AI analyzes logs, screenshots, and DOM changes to provide a Root Cause Analysis (RCA) . Smart Fail Reports

... schema 71% 19% Cite data sources 68% 27% Part 3: What content wins AI citations? This is the question everyone asks. Here's the data: Top 5 content types by citation rate: Comparison pages (X vs Y) 3.2x average Structured FAQs 2.8x average Data-driven articles (with stats, tables, studies) 2.4x average "How to" guides (step-by-step) 1.9x average Original research 1.7x average What performs poorly: Short opinion pieces Thin content (<500 words ... ... great for blue links. But none of them show you how you appear in AI answers. Here's what we track: Actual AI-generated answers mentioning your brand Citation rates across ChatGPT, Google SGE, Perplexity, Gemini Share of voice vs

... guys, I wanted to share my project - I hope this forum topic will be a correct one. I built TMDD - an open source CLI that keeps a version-controlled threat model (YAML format) inside your repo and generates security-aware prompts for AI coding agents. So what is threat model? It is a simple document where you write down what you re building, how someone could abuse or break it, and how you ll stop that from happening. You usually ... ... most efficient method of detecting security issues in early phases of development. When you vibe code with AI, it usually focuses on does it work? , not on Can someone exploit this? . TMDD keeps that security thinking inside your repo

... kept running into the same issue when testing repository layers that rely heavily on SQL. Integration tests with a real database are essential, but they slow feedback cycles and add infrastructure complexity. Mocks don t catch real SQL issues, and SQLite often introduces dialect differences that require adaptation. So I built an open-source in-memory SQL engine for .NET to validate SQL behavior during unit tests. It plugs into IDbConnection , allowing repositories