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sábado, 16 de maio de 2026

Show HN: AI that audits your codebase in 60 seconds https://ift.tt/rPbxY7A

Show HN: AI that audits your codebase in 60 seconds https://triyambakam-apex-corp.hf.space May 16, 2026 at 01:35AM

Show HN: MIT OSS LinkedIn DMs for Agents (CLI and Example TUI) https://ift.tt/AWTgS4P

Show HN: MIT OSS LinkedIn DMs for Agents (CLI and Example TUI) I was tired of paying $100s/mo to access data I should own -- my own DMs on social media -- so I built Allman, a local-first cli to access linkedin messenger. Starting with LinkedIn, I gave the entire compiled js binary of linkedin's web app to claudecode and reversed engineered the entire messenger inbox in 24 hours. My goal is to bring this to all messengers so AI can handle all of this busywork, just like it can my email. I had also never built a TUI so I had claudecode build me one based on top of the local CLI and filesystem. Full repos: https://ift.tt/YpqHKwb https://ift.tt/fzLtca5 Their sharding / access is brutal, so it'll likely break as-is -- but the point is that Reverse Engineering is trivial now (and can do it dynamically through browser access and dynamic playwright -- thanks Browserbase! ). Would love to hear your feedback and what I should build on it next. Shoutout to Eric Allman. https://allman.sh May 15, 2026 at 05:45PM

sexta-feira, 15 de maio de 2026

Show HN: I solved my study problems by talking to a goose https://ift.tt/W4Zjn2U

Show HN: I solved my study problems by talking to a goose I used to study by rereading notes, and then I blanked in the exam hall. Did some research, and found that my experience isn’t isolated, and that passive review doesn’t force retrieval, so nothing sticks, and I knew I had to do something about it. That’s why I built Professor Goose. You pick a topic, explain it out loud to a goose, and he keeps probing until he understands you. Never gives you the answer, just keeps asking follow ups until a sound understanding is reached, which in turn makes you figure stuff out or realise you never understood your topic in the first place. Free to try, no account needed, upload your syllabus for exam board specific questions. Curious whether this approach resonates with others, it sure has for me. https://ift.tt/TW8BfSz May 15, 2026 at 03:06AM

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

quinta-feira, 14 de maio de 2026

DJ Sandro

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