... stateful instructions: cursor movement, character attributes, scrolling regions and screen modes. Replaying only the tail of a bounded PTY buffer can lose the state those instructions depend on, producing duplicate content, misplaced cursors and broken wrapping. The backend now parses output into a terminal screen and sends a redraw of its history, visible grid, cursor and input modes. Mouse reporting is restored too, so phone scrolling continues to work after reconnecting. Resize and resynchronize consistently Resizing reflows the parsed

... while for a number of companies and I used to find that following a nice frosty repeated across topics would work, to skip the boring bits I would essentially setup the following: - top 10 comparisons in the industry - COMPANY vscompetitors at doing a specific job - best in the industry These would allow to jargon fill paragraphs on

... breaks your rule comes back flagged as type_mismatch, out_of_range or pattern_mismatch, and those rank above the engine's own suspicions, because a rule you stated is a stronger claim than a doubt I inferred. The parsed values arrive in data.normalized, which has exactly the same shape as values and contains only the leaves you declared. values does not change and never will. It is the half that carries the coordinates and the character level match ... ... same answer on every run. They handle full width digits, thousands separators, currency marks, unit suffixes like 3 , accounting negatives written as or in parentheses, era years like 8 , and compound scale notation like 1 2 . When a parse

... parser reads that as "this part is broken", quietly demotes your email to an attachment, and hands us nothing to show. Skim now closes those dangling multiparts itself (innermost first, like a polite houseguest turning off the lights) and parses again. Your booking confirmations are back. No more phantom attachment. That mystery .bin full of raw base64 sitting under the empty email? It was your email. It has been returned to its rightful place. Bad parses

... been building ProductBridge as an AI-native alternative to traditional customer-feedback tools. But we don t want polite founder feedback. We want to understand what would genuinely make a team abandon its existing feedback platform and move somewhere else. Would it be: Predictable pricing without tracked-user limits? One-click migration of existing posts, votes and users? AI that collects feedback from Slack, Intercom, Zendesk, app-store reviews and other channels? Automatic duplicate detection and merging? Feedback, roadmap, changelog ... ... convincing an entire team to learn another tool. So I m curious: What would need to be true for you to move away from your current customer-feedback platform? And what would stop you from switching even if the alternative

... wasn't the key. With a placeholder key, our server correctly returned 401. Cursor fell back to OAuth discovery, requested /.well-known/oauth-authorization-server, and the response we served wasn't in the format the spec expects. Cursor couldn't parse it and quietly gave up. The fix was boring. Serve proper OAuth metadata: issuer, authorization endpoint, token endpoint, client registration, PKCE. After that it just worked. Click, sign in, connected. The takeaway for me was simple: if an MCP client says "OAuth ... ... then goes silent, check your discovery document before you debug anything else. In our case, /.well-known/oauth-authorization-server was the culprit, not the credentials. One question for other builders here: how are you handling MCP OAuth across clients? Cursor, Claude, and VS

... everyone! Happy to finally say hello here! I ve spent most of my time working o n document parsing , and one of the open-source projects I released earlier was OCRFlux . I m now working on DocDot, a local PDF parser stack for macOS. The problem we kept coming back to was pretty simple: people want to keep documents local for privacy reasons, but local tools often force a tradeoff between speed and parsing

... below that line needs a checker, and the checker is usually a bigger model, which is exactly where the savings go. Where I've landed: cheap models for anything I can validate mechanically, like extraction where the schema either parses or it doesn't. Expensive models for judgement, where the only validator is a person reading it a week later and going "hang on". The tier I still can't make work is the middle, cheap model plus cheap checker ... ... words changed. The proxy we landed on is whether the output got edited within ten minutes, which is crude but it flipped the ranking of the two models we were comparing. Comment from Asad M.(@asadmalik901): @alpertayfurr  verifiable vs

... quality links. Earn editorial mentions on pages that already rank and get traffic. These are the sources AI engines repeatedly cite. Structured listicle placements on industry publications are the highest-leverage placements they're easy for AI engines to parse and rank for category queries. Original data and digital PR. Surveys, benchmarks, and proprietary research earn the kind of editorial links that Google values and AI systems trust. What no longer works: Chasing DA alone. A relevant link from ... ... look good on a report. 2. Lost link tracking with impact scoring. When a link drops, you see it immediately. More importantly, you see what it cost you in visibility not just in rankings, but in AI citations. 3. Competitor

... Google still largely shows traditional results. AI search is mostly eating informational traffic, not purchase-intent traffic. Second, the traffic that AI does send is higher quality. ChatGPT-referred visitors spend an average of 15 minutes on a website versus Google-referred visitors at 8 minutes. Sessions from AI referrals grew 527% year over year in the first five months of 2025. Third, only 16% of brands are systematically tracking their performance in AI search. That means 84% of your ... ... competitors

... Comment from Haider(@lilhadi): @evan_kang1  that's the entire bet in one line .. thanks for getting it Comment from Haider(@lilhadi): @galdayan  most input never hits a model .. on iOS and macOS 26+ the model parse is Apple's on-device one older OS (rare case) or a genuinely cursed input falls back to a cloud call (title text only, transient, not stored) so on-device for the common case, cloud for the tail ... ... running a restaurant taught me that anything resembling data entry during a busy shift simply does not get done. Capture has to match the speed of the thought, otherwise the thought wins. Curious whether people trust the natural language parsing

... then manually calculates totals and creates invoices - this is built for you. Here's how the core feature works: Drop a CSV from your time tracker - only date and duration columns are required, everything else is optional. Olivi parses and groups entries by client and project automatically. Get a ready invoice with pre-filled line items - descriptions, hours, rates, totals, all done. Review and edit the invoice if needed. Send it - email with PDF and time report attached, or grab ... ... edit tone and wording in Settings Unbilled hours tracking see what hasn't been invoiced yet, auto-pull unbilled time when creating new invoices. Client, project & invoice management everything in one place. Fixed-price projects track contract value vs

... read still lifts rankings and sends qualified traffic. Focus on earning editorial mentions on pages that already rank, get traffic, and actually influence both search results and AI-generated answers . Listicle placements on industry publications "best tools," "top X," "alternatives to Y" are the highest-leverage placements because they're structured, easy for AI engines to parse

... after 1 hour, you have no way to verify it. The Security Risks of Server-Side Converters Data Breaches : If the converter s database is hacked, your uploaded documents could be leaked. Privacy Violations : Some free tools monetize by parsing the contents of your documents. Bandwidth & Size Limits : Server-side rendering often forces you to wait in queues or pay for files larger than 10MB. The Solution: Pure Frontend Conversion A new generation of web tools handles this differently ... ... browser using WebAssembly (WASM) and local web workers. Your files never leave your device. One of the cleanest tools built on this architecture is XTox ( https://xtox.top ). How XTox Works XTox uses client-side JavaScript libraries to handle file parsing

... dilleuh  12k+ applications number caught my attention, especially because visa workflows involve so many document types, rules, and edge cases. I m curious how AI fits into that workload as volume grows. Is the heavier AI usage on document parsing and autofill, checking applications before submission, handling exceptions, or helping users/agents understand status and next steps? Comment from Daria Brown(@daria_brown): @achille82  It would be nice to stay in touch. What would be the best place - email, LinkedIn ... ... www.producthunt.com/products/wri... Comment from Nolan Vu(@nolan_vu): @thenameisarian  Interesting, alternative

... anybody asked for. And if the user already wrote their own LIMIT, page 2 came back empty. So we ended up with a pile of provider-specific overrides taped onto a leaky abstraction. The fix was to parse instead of wrap. We pulled in a multi-dialect SQL parser, turn each query into an AST, and attach LIMIT/OFFSET directly to the root statement. That deleted 4 provider-specific overrides, got SQL Server and Spanner paginating for the first time ... ... trace that used to mention a mystery "t" alias. New dialects get correct pagination by adding 1 line to a switch. What I keep thinking about is that the wrapper was the right call for a really long time. Parsing

... SCSS nesting and @media inside rules. .card { background: #fff; @media (max-width: 768px) { background: #000; } &:hover { background: #eee; } } Finding the right declaration in this structure with regex is non-trivial. You need to know the nesting level. PostCSS parses the file into an AST. Each node has a type: Rule (selector), Declaration (property: value), AtRule (@media, @container). We find the Rule with the right selector, find the Declaration with the right prop, replace value. Everything else indentation, comments, line ... ... toString(). root.walkRules((rule) => { if (rule.selector !== targetSelector) return; rule.walkDecls(prop, (decl) => { decl.value = newValue; }); }); writeFileSync(filePath, root.toString()); // formatting preserved For SCSS, postcss-scss is used it understands SCSS syntax including $variables, nesting, and mixins that standard PostCSS doesn't parse

... galdayan): our setup ended up being a Slack webhook per agent session, posted to a channel only that agent writes to. sounds basic but the key part was making the notification say WHY it's waiting (needs approval vs finished vs

... trail for AI-generated code, the default approach is to try and regex markdown blocks out of the LLM s text response. It is incredibly brittle. For this release, we ripped that out entirely. The LineageLens proxy now natively parses the underlying structured protocols: Anthropic s tool_use blocks (handling the streaming JSON assembly) OpenAI s apply_patch DSL (via the newer Responses API) Gemini s functionCall arrays Why this is a game changer: Because we are parsing

... weeks and found 40+ tools that appeared in the last 6 months alone. Three approaches: Context packing (flatten repo into text, paste it in. Repomix, GitIngest) Embeddings (semantic search, what Cursor and Copilot do under the hood) Structural graphs (parse symbols and relationships, persist, query via MCP) Why the explosion? Three things converged: MCP gave AI tools a universal way to query external services. Tree-sitter made multi-language parsing

... versions of "grilled chicken breast," and giving up by Tuesday. The friction wasn't the math, it was the input. So I made one where you just say what happened: a five-second voice note gets transcribed by Whisper, parsed by Claude into a structured entry (category, calories, macros, tags), and the dashboard shows calories consumed vs

... getting my own apps rejected multiple times (once for a cryptic 2-line reason that took 3 days to debug), I realized there had to be a better way. So I built RejexAI a tool that uses AI to parse Apple App Store and Google Play Store rejection notices and turns them into actionable fixes. How it works: Upload or paste your rejection notice AI identifies the exact guideline violated You get code snippets, design changes, and an appeal template ... ... minutes What RejexAI currently does: Rejection parsing

... founder of Munch. I built this because I kept watching creators spend hours turning one video into posts. You paste a YouTube or Vimeo URL Munch extracts the transcript using 5 fallback strategies (so it actually works on videos competitors choke on) Claude AI writes 8 complete, platform-ready pieces in ~60 seconds. No file uploads. No per-action credits. One munch = everything. PH exclusive: Your first munch is completely free, no card needed. Just sign up at munch.video ... ... runs multiple extraction strategies in sequence before giving up. Users rarely see failures. When you do hit one, you can paste the transcript directly and keep going. Vimeo and article URLs have their own dedicated extractors. Podcast RSS feeds parse

... 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

... runs multiple extraction strategies in sequence before giving up. Users rarely see failures. When you do hit one, you can paste the transcript directly and keep going. Vimeo and article URLs have their own dedicated extractors. Podcast RSS feeds parse episode show notes from the feed pick an episode, load its description, generate content. Full transcript, not a preview. Content is processed at up to 100,000 characters. Early versions only used the first ~5 minutes of a long video ... ... outputs, no subscription Annual plans available on all tiers. ============================================================================ WHAT'S RUNNING UNDER THE HOOD (the stuff that proves it's not just smoke and mirrors) ============================================================================ WHY CLAUDE? =========== Munch runs on Claude Anthropic's flagship model, not a cheaper alternative