phrasel_service · Product Hunt

Phrasel AI-powered PTE Core practice, feedback, and mock tests

@mrolzz · X

Wassup ALL!!! Ive just made my first app for Higgsfield AI

u/Zealousideal_North83 · Reddit

Fidibeki — Product feedback that finishes the job Building products is what drives me. While working on my own products, I noticed the same problem: feedback comes in, loses context, and users rarely hear what happened next. So I built Fidibeki. Users can report issues directly inside a product with screenshots, audio, or session replay. I can triage everything in one inbox, merge duplicates, track progress, and keep reporters updated. Privacy is built in: session replay

@kngkng182542 · X

If you're paying for Canny, give FeedLog a look. Same workflow for collecting feedback and managing feature requests, but free during launch.

@ImFabien · X

- feedback management and suggestion box with built-in churn insights for SaaS teams.

@vova_tsurkan · X

Built my first app with @shipstudio_app Now Coohoo is live on Product Hunt! 🚀

@scalixdigitalco · X

@pinpointappdev · X

@CoryMeikleDev · X

I built SiteSay a tool that allows you to embed an incredibly lightweight (4.33kB gzipped) widget to your website for collecting feedback/bug reports with screenshots. It also automatically attaches any uncaught JS errors/unhandled promise rejections.

@haukejung · X

Your app for collect and triage user feedback

@GeorgiG26929167 · X

Remarkd lets you create a feedback page for anything—ideas, landing pages, designs, pricing, features or prototypes. Share one link anywhere and collect structured, anonymous feedback in one place, with AI-powered insights to help you spot patterns faster

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