@dentistbangla · X

Check out what I just built with Lovable!

@abdulganiyshehu · X

If you've ever tried staying consistent on LinkedIn but struggled to do so, I built this for ya.

@Caden1Fenn · X

Intel Brief — tracks what your competitors change (pricing, features, positioning) and delivers it to your inbox weekly. Built for indie SaaS founders.

@FileProInfo1 · X

🚀 has successfully launched! helps users convert, view, process, and manage files online — including documents, PDFs, OCR, archives, email formats, and more. We’re excited to share it with the community. Check it out here:

@vhm205 · X

Too many news articles, too many bookmarks, too many notes, but I never open them again because I don't know where to find them

@alencristen · X

@JonBuildsHQ · X

My project is A tool for SaaS founders to spot landing page leaks. What are you working on?

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

@batmanyussif · X

Check out what I just built with Lovable!

@SajidAbuba74138 · X

A tool for developers

u/maybeImakemoney · Reddit

I built the thing. Now I am not sure the base use case is one people will pay for. Founder here. This started as a side learning project to see whether an LLM could answer questions about Excel data, back when they could not do it well. I built the first version on n8n, with workflows that ingested files, generated metadata with an LLM, and answered questions against the converted data plus that metadata. Then I started using it for my own analysis and report generation, saw that the time sav

@interchained · X

one handle, every surface