@artem_vysotskyi · X

I'm building exactly what u need mates: 1. to find security leaks in ur vibe-coded apps and fix them 2. to track ur links in X replies => like the link above

@MiloPaigeTech · X

Learning how to code so just making a simple work hours tracker for me and my colleagues.

@Raj_kabadi · X

Check out what I just built with Lovable! This will help you to schedule📅 in google without typing

@SagarSR349400 · X

Working on Sieve, a distributed AI system that autonomously monitors Telegram group chats, extracts tasks and deadlines using Google Gemini, and sends intelligent private reminders.

@adnilrey · X

Generates a 50-80k word novel zero-draft under 20 minutes

felixdoerp · HN

Hi HN, The one thing AI reliably does is generate noise. Half the tools I see launch are just machines for producing more noise across more channels. And people are starting to see this in the form of emails in their inboxes as spam filters are struggling. There used to be a useful signal in email: the effort a sender put into customizing a message was a rough proxy for how relevant it actually was. AI killed that. Now it's customized slop with the appearance of effort with none of the cost. It is painful that the open internet / open channels have been abused like this. Captchainbox applies the idea of proof-of-work to email. If a sender is willing to do a bit of work to reach you, the message is more likely to be worth your time and the sender more likely to be real. The work is a traditional captcha. You can also set a pay-to-deliver amount if you want more friction. The proceeds of the delivery payment after transaction costs go to the Internet Archive and the EFF. The tool curr

lawnmaster18 · HN

Vuci – make the spoken word searchable

@vanmurten_eth · X

Guidesnap: turn any screen recording into a polished PDF guide.

pw · HN

Hiya! So I've been playing around with having Claude make videos for a bit now even had some success posting the results to TikTok (and setup a whole pipeline so Claude can generate and post autonomously). With the release of Nano Banana 2 Lite, I was curious show fast I could make the generation, so last night I gave it a whirl and got down to around 30s for short-form video. It uses GLM-5.2 fast via Fireworks to generate the scripts and image prompts and, like I said, Nano Banana 2 Lite for the images, gpt-4o-mini-tts for the narration, and ffmpeg to string it all together and add the Ken Burns zoom effect (which still has a shake I haven't been able to get rid of). The video compilation proved to be the blocker once the rest was in place, but I was able to speed that up by putting it on a 64 vCPU EC2. The cost might be the most interesting aspect as the short form videos tend to be about 25 cents. Almost 90% of that is the images, which are 3.336 cents a piece. Of course, running

@Mahima_Akkina · X

Yes, you can check - It's a tool used to convert both and video into text and summaries

@mattzur · X

回音堂 — 借助 AI，用对话的方式讲述历史故事 - [更多介绍](https://github.com/ruanqizhen/anachron)