Show HN: Parse LLM Markdown streams incrementally on the server or client https://ift.tt/eDraJix

Show HN: Parse LLM Markdown streams incrementally on the server or client Most AI chat applications (such as ChatGPT or Claude) stream their responses to the client as markdown text. As each new chunk of text arrives, the front end typically re-parses the entire markdown document to render the updated message. This works, but it can quickly slow down the UI for long responses. I’ve been obsessing over ways to make this more efficient, so I wrote a markdown parser that can parse streaming markdown (semi) incrementally. Instead of re-processing the whole document each time, it only parses what’s new, processing each line only once. Block‑level nodes are buffered until they’re complete (for example, once a paragraph is done and won’t be extended by more text). This also makes parsing the markdown on server possible. The main demo does exactly that. Additionally, animating markdown blocks becomes much simpler and efficient, as a result. Here’s a demo if you’d like to see it in action: https://markdownparser.vercel.app/experimental Feel free to type 'Render a table with 10 rows' to see each table row animate in. I’ve spent a lot of time thinking about this problem, so if you’re working on similar issues, I'd love to chat. https://ift.tt/oWGlHKV May 14, 2026 at 07:31PM

Show HN: Full Stack HQ – Claude.md and Agent Stack for Claude Code https://ift.tt/sFXdY2g

Show HN: Full Stack HQ – Claude.md and Agent Stack for Claude Code Permission-first config kit for Claude Code and Google Antigravity IDE. Installs CLAUDE.md + GEMINI.md + 10 specialist agents + 28 skills with one command. MIT license. https://ift.tt/E3z4cZR May 14, 2026 at 05:55PM

Show HN: Showing the same info in 248 different UI https://ift.tt/C3n5QGj

Show HN: Showing the same info in 248 different UI https://ift.tt/G8Wlr9C May 13, 2026 at 08:16PM

Show HN: Containarium – self-hosted sandbox for AI agents, MCP-native https://ift.tt/3LQhgad

Show HN: Containarium – self-hosted sandbox for AI agents, MCP-native https://ift.tt/fXliL1n May 13, 2026 at 11:46PM

Show HN: Nibble https://ift.tt/2oVlswW

Show HN: Nibble An attempt at a single pass LLVM frontend in ~3000 lines of C without external dependencies, malloc, or an AST. Included are some graphical examples. The IR isn't perfect, and the README touches on one particular downfall https://ift.tt/n1pyAXJ May 13, 2026 at 10:46PM

Show HN: Hollow – A local multi-agent OS that builds its own tools https://ift.tt/3XcrITV

Show HN: Hollow – A local multi-agent OS that builds its own tools https://ift.tt/aw8imfs May 13, 2026 at 07:19AM

Show HN: HYPD – AI co-pilot for marketers running Google Ads https://ift.tt/vfgn8Di

Show HN: HYPD – AI co-pilot for marketers running Google Ads We've been building HYPD for the last 1 year together with a small team in Berlin. It's an AI co-pilot (chatbot) for PPC freelancers and agencies. It connects to a Google Ads account, then runs audits, performs data analysis from natural language ("why did CAC jump last Tuesday"), generates ad copy grounded in account history and context, and exports reports and datasets. Thesis behind it: just like programming is "solved" but engineering is not, ad-ops and media buying will be solved, but account strategy and human creativity remain the leverage. Background: I founded PubNative (acquired by Verve Group), was Co-CEO at Verve Group, and for the last year we've been "taming" LLMs when working with structured and unstructured data. So far we got more than 200+ agencies and freelancers onboarded. Hard parts so far: (1) data accuracy, (2) understanding the gaps in LLM knowledge of the Google Ads API, (3) adding enough context to make answers fit what professional marketers expect. Free trial + free tier on the site. Happy to enable demo accounts for anyone who wants to test it without connecting their account. https://www.hypd.ai/ May 13, 2026 at 06:09AM