... Claude writes the table-based HTML layout -> ChatGPT checks Outlook rendering quirks -> Perplexity verifies dark-mode CSS compatibility HTML emails feel like coding in 1999 tables

... gives your agent a list. The other gives your agent a decision. 2. The Linux Kernel Benchmark (74,619 files) We cloned torvalds/linux locally and ran cold index extraction and queries on both engines: Filesystem Discovery: Synapse 2.0s vs Graphify 1m 15s (37.5 faster) Peak RAM Consumption: Synapse 877 MB vs

... device advertises about itself. That number was supposed to track one thing, and it turns out it tracks another the two just happened to agree for every release up to macOS 26. This year they stopped agreeing. So the table that turns that number into a name came up one row short, and every Mac that updated to macOS 27 quietly lost its OS row. Here's why nobody reported it: the row didn't go wrong , it went absent ... ... nothing to see That's fixed in 0.22.1. The more useful half is the test. Every check in that suite compared against numbers typed into the suite itself, so the whole thing stayed green on a machine the table

... almost doubled to 3.4% and stayed there. It made me think that maybe giving users too many options just creates unnecessary friction. Have you ever tried simplifying your pricing page or do your customers actually need the big comparison tables ...

... that teach your agents how to work. Live cursors, inline comments, and an MCP server so the agent works the same loop you do. Here's what's landed since. Full changelog with screenshots: https://skilldocs.dev/changelog New things: tables are a live grid you edit in place, not a picture that falls apart the moment you click into it. Focus mode on F. Try it. it's beautiful. Nested folders, and any folder opens as a sortable table

... error on screen, just silence where data should've been. I asked my AI tool to fix it twice. Twice it guessed wrong. So I actually opened Vercel's logs myself. And there it was: insert or update on table "score_history" violates foreign key constraint "score_history_user_id_fkey" I didn't know what that sentence meant six months ago. I do now. It meant one of my database tables

... This is an exciting, utility-focused release. We completely rebuilt social saves, added a new table view for your library, expanded AI language support to 62 languages, and improved the AI behind tags, connections, summaries, and quizzes. Don't miss the release notes , which have more detail and information on what's coming next. There is also an incredible customer story and an open AMA with a Recall power user on building a second brain , running through ... ... social support around two weeks ago, but ran into issues where Instagram transcripts or articles were not fully saved. We have now rebuilt how we capture, transcribe, and present social content across Instagram, TikTok, X, LinkedIn, Reddit, and Facebook. Table

... promise was that natural language would replace the query editor. In practice, a lot of these tools produced syntactically perfect SQL against a schema they didn't actually understand, confidently answering the wrong question because they guessed which table "revenue" lived in. Now we're in the agentic phase: systems that plan, retrieve context, run analysis, check their own work, and hand back a narrative answer. A bunch of products sit here now, including ada.im, various "chat with your data ... ... toward 95%. The intelligence wasn't the bottleneck. They break failures into three modes that generalize to basically every tool in the category: Concept-to-entity ambiguity: a vague word like "revenue" or "active users" maps to many plausible tables

... things people kept running into. What's in 1.0.12: Tags: free-form, autocomplete-first note tags with color coding and a filter popover in the library (multi-select, so you can narrow by more than one tag at once). Tables: paste one in and it's preserved instead of turning into plain text, plus a /table command and right-click row/column editing. Emoji: type :fire: and pick from a grid, or use /emoji. No dependency on macOS's Character Viewer ...

... query performance lag $activeLogs = TruckLog::with('driver') ->whereDate('created_at', today()) ->orderBy('created_at', 'desc') ->paginate(15); return view('dashboard.fleet', compact('activeLogs')); } } In the Blade view, I mapped these variables directly to the pre-styled table components inside the Arcone template. The transition of static dummy data to actual database records worked nicely, and the table

... database. Some were from deleted plugins. Some were temporary settings. I first created a backup. Then I used WP-CLI to clean temporary data. wp transient delete --all wp cache flush After that, I checked large database tables. The wp_postmeta table

... years of leftover plugin data. After checking the database, I found thousands of expired transients. I logged into the server and cleaned everything through WP-CLI: wp transient delete --all wp cache flush Then I optimized several large tables directly in MySQL: OPTIMIZE TABLE

... 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. 5. Cross-channel attribution ... ... 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

... this exact problem. It s why we are building Ethos by DocuShell (it's an open-source verifier for document citations, source evidence, and RAG). While building it, we realized just how easily LLMs get totally confused by simple tables or negative sentences (like missing a "not" or "except"). We have our own way of handling it, but we know there isn t just one right answer. I really want to know how other builders and founders here are tackling ... ... your worst horror stories, or your current workarounds below. Comment from Alper Tayfur(@alpertayfurr): @saumild27  That second step is exactly the hard part. I see it most often in data extraction and RAG Q&A, especially around tables

... Side note: We're live on Product Hunt today with our Slack Data Agent ! Export to Excel You can now export to Excel (.xlsx) anywhere you could already export data. Charts, tables, markdown tables

... Pressing Escape and clicking the close button now reliably dismiss the search window, which previously could stay open. Tag actions on mobile. The tag actions menu no longer gets stuck after navigating back on mobile. Editor crash on broken tables. Notes containing malformed tables

... current beta is focused on proving the connection, tenant, OAuth, and token-vault architecture before allowing any live customer data flow. What is working now: The Laravel beta app is live in its private beta environment. The users table has been repaired and confirmed working. Core tenant tables

... screenshots, and handwritten notes. What makes it a bit different from generic OCR: Built on PP-OCRv5 + PaddleOCR-VL (2M params) benchmarks competitively against Google Vision and AWS Textract, especially on CJK languages 22 specialized tools handwriting (including cursive), tables, math LaTeX, receipts, screenshots, Arabic / Japanese / Chinese Free tier: 20 pages/day, no signup needed for casual use Pro: $10/mo (annual) for 3,000 pages, batch up to 20 files, .txt/.md/.docx export Supports JPG, PNG, PDF, WebP Use cases we keep ...

... current beta is focused on proving the connection, tenant, OAuth, and token-vault architecture before allowing any live customer data flow. What is working now: The Laravel beta app is live in its private beta environment. The users table has been repaired and confirmed working. Core tenant tables

... everyone! Excited to share something we've been working on Img2Sheet is now offering a Lifetime Deal . What is Img2Sheet? Img2Sheet converts images into structured spreadsheets instantly. Upload a photo of a table, invoice, receipt, or any data-heavy image and get a clean Google Sheet back in seconds. The Lifetime Deal Two Tiers: Starter Pay once 1,000 credits/month Pro Pay once 5,000 credits/month No subscriptions. No renewals. Just pay once and keep getting credits every month ... ... most of them! Why BYOK? By bringing your own OpenAI API key, you stay in full control of your data and costs we're just the layer that makes it seamless. If you're tired of manually re-typing table

... Last month, I did something that felt slightly insane. I took our product description, fed it into ChatGPT, and asked it to build a competitor. Not a parody. A real competitor

... Nowhere. What I Thought Mattered (It Didn't) What I Prioritized What AI Actually Cares About Beautiful design Structured content Clever copy Direct answers SEO keywords Complete questions Backlinks Original data Social proof Comparison tables I was optimizing for humans. AI is not human. Lesson #1: AI Doesn't Read It Extracts Humans read your About page. They feel your brand voice. They appreciate the design. AI does none of that. AI scans your page looking for one thing: answers ... ... project management tool for remote design teams. Here's exactly how we work." Feature lists Problem-solution paragraphs Vague benefits Specific outcomes Lesson #2: AI Loves Comparisons Even If You Lose This one hurt. I avoided mentioning competitors

... just exposure, but the degree to which AI treats your brand as a credible source . Share of Voice (SOV): Represents your brand s voice share within AI narratives the probability that AI mentions your brand rather than a competitor when answering a topic-related question. Sentiment: Captures the emotional tone of AI mentions positive, neutral, or negative showing how AI portrays your brand. Together, these four metrics answer the two most fundamental GEO questions: How frequently does AI mention ... ... brand? and In what tone and context is the brand represented? 1.2 Trends and Competitor

... Every AI answer about your category includes comparisons. Always. When someone asks "best CRM for agencies," AI doesn't list one tool. It lists 3-5. And it compares them. The data: Content Type Citation Rate Pages with comparison tables +470% vs

... many found they were invisible. But here's what scared me more: Of those who WERE visible, 43% had incorrect information in AI answers. Not "suboptimal." Not "could be better." Wrong. Outdated pricing. Missing features. Wrong founder bios. Competitors credited for your work. And the average error sticks around for 4 6 months . Today, I'm sharing the full dataset: 1,000+ SaaS products, 75,000+ AI answers, and the hard truth about what's being said about you when ... ... analyzed 50 brands that discovered errors and tracked the impact. Error Type Average Revenue Impact Pricing error (higher than actual) 47,000 Pricing error (lower than actual) 23,000 (leakage) Missing critical feature 38,000 Wrong positioning (enterprise vs